From ba2ba5e956bf11e1c2cef9edf5934f65a2b2211a Mon Sep 17 00:00:00 2001 From: Morphology Lab Date: Wed, 22 Jul 2020 11:30:08 -0500 Subject: [PATCH] Add files via upload --- ...thon11_Biopython_and_Genome_assembly.ipynb | 28262 ++++++++++++++++ ...sualization_and_Comparative_Genomics.ipynb | 1099 + PlantsAndPython13_Short_Read_Analysis_I.ipynb | 605 + ...ndPython14_Variant_discovery_pop_gen.ipynb | 873 + 4 files changed, 30839 insertions(+) create mode 100644 PlantsAndPython11_Biopython_and_Genome_assembly.ipynb create mode 100644 PlantsAndPython12_Genome_Visualization_and_Comparative_Genomics.ipynb create mode 100644 PlantsAndPython13_Short_Read_Analysis_I.ipynb create mode 100644 PlantsAndPython14_Variant_discovery_pop_gen.ipynb diff --git a/PlantsAndPython11_Biopython_and_Genome_assembly.ipynb b/PlantsAndPython11_Biopython_and_Genome_assembly.ipynb new file mode 100644 index 0000000..915d1e5 --- /dev/null +++ b/PlantsAndPython11_Biopython_and_Genome_assembly.ipynb @@ -0,0 +1,28262 @@ +{ + "cells": [ + { + "attachments": { + "Plants_python_emblem.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Plants_python_emblem.png](attachment:Plants_python_emblem.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# An Introduction to Biopython and how to Build a Genome" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this set of notebooks, we will be analyzing large-scale biological datasets using leading programs and pipelines and writing our own Python scripts implemented in Jupyter. The scale of our data makes local computation on a laptop or desktop computer impossible, and we will be using the MSU High Performance Computer Cluster for most of our work. We will introduce new python libraries such as Biopython to analyze and manipulating biological datasets. We will also build off of our knowledge from Dan's portion of the course. The scope and scale of genomics projects is constantly expanding, and cutting-edge tools and algorithms are always changing to more efficiently and accurately draw meaning out of datasets. Here, we will use 'popular programs' as examples, but many other tools exist and others may be better suited for analyzing specific datasets. **Keep this in mind when designing and planning your final projects.** At the end of this course, you should be able install, run, and troubleshoot almost any computational biology program, and write basic python scripts to reformat, transform, plot, or interpret data. We will make use of the vast wealth of previously published large-scale datasets on the NCBI Sequence Read Archive (SRA), Dryad, and Cyverse and conduct meta-analyses spanning species, treatments, developmental timecourses, and more to answer biological questions. In this lesson you will: (1) get a brief introduction to Biopython, (2) learn how to run genome assembly programs, (3) manipulate the output sequences, and (4) identify our unknown species. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " # Pre-class activity: Basics of Biopython" + ] + }, + { + "attachments": { + "biopython.jpg": { + "image/jpeg": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![biopython.jpg](attachment:biopython.jpg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Source of the materials**: Biopython Tutorial and Cookbook (adapted)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## (1) What is Biopython?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Biopython Project is an international association of developers of freely available Python (http://www.python.org) tools for computational molecular biology. Python is an object oriented, interpreted, flexible language that is becoming increasingly popular for scientific computing. Python is easy to learn, has a very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN.\n", + "\n", + "The Biopython web site (http://www.biopython.org) provides an online resource for modules, scripts, and web links for developers of Python-based software for bioinformatics use and research. Basically, the goal of Biopython is to make it as easy as possible to use Python for bioinformatics by creating high-quality, reusable modules and classes. Biopython features include parsers for various Bioinformatics file formats (BLAST, Clustalw, FASTA, Genbank,...), access to online services (NCBI, Expasy,...), interfaces to common and not-so-common programs (Clustalw, DSSP, MSMS...), a standard sequence class, various clustering modules, a KD tree data structure etc. and even documentation.\n", + "\n", + "You will need to install Biopython if you haven't already. To do this, type the following into the Anaconda powershell prompt:
\n", + "`pip install Biopython`
\n", + "You can check the basic installation and inspect the version by doing:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.74\n" + ] + } + ], + "source": [ + "import Bio\n", + "print(Bio.__version__)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Working with sequences\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We’ll start with a quick introduction to the Biopython mechanisms for dealing with sequences, the Seq object, which we’ll discuss in more detail later.\n", + "\n", + "Most of the time when we think about sequences we have in my mind a string of letters like ‘GATTACAGATTACA’. You can create such Seq object with this sequence as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Seq('GATTACAGATTACA')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from Bio.Seq import Seq\n", + "my_seq = Seq(\"GATTACAGATTACA\")\n", + "my_seq" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GATTACAGATTACA\n" + ] + } + ], + "source": [ + "print(my_seq)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What we have here is a sequence object with a _generic_ alphabet - reflecting the fact we have _not_ specified if this is a DNA or protein sequence (thoguh, technically this could be a protein with a lot of Alanines, Glycines, Cysteines and Threonines!).\n", + "\n", + "In addition to having an alphabet, the Seq object differs from the Python string in the methods it supports. You can’t do this with a plain string:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Seq('CTAATGTCTAATGT')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_seq.complement()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Seq('TGTAATCTGTAATC')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_seq.reverse_complement()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### **Sequences act like strings** \n", + "In many ways, we can deal with Seq objects as if they were normal Python strings, for example getting the length, or iterating over the elements:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 G\n", + "1 A\n", + "2 T\n", + "3 T\n", + "4 A\n", + "5 C\n", + "6 A\n", + "7 G\n", + "8 A\n", + "9 T\n", + "10 T\n", + "11 A\n", + "12 C\n", + "13 A\n", + "14\n" + ] + } + ], + "source": [ + "from Bio.Seq import Seq\n", + "from Bio.Alphabet import IUPAC\n", + "from Bio.Data import CodonTable\n", + "\n", + "my_seq = Seq(\"GATTACAGATTACA\", IUPAC.unambiguous_dna)\n", + "for index, letter in enumerate(my_seq):\n", + " print(\"%i %s\" % (index, letter))\n", + "print(len(my_seq))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can access elements of the sequence in the same way as for strings (but remember, Python counts from zero!):" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "G\n", + "T\n", + "A\n" + ] + }, + { + "data": { + "text/plain": [ + "Seq('GATTACA', IUPACUnambiguousDNA())" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print(my_seq[0])\n", + "print(my_seq[2]) \n", + "print(my_seq[-1])\n", + "my_seq[7:15] #take just a slice of the sequence. Genomes are big, maybe we just want a few characters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also add sequences together:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Seq('GATTACAGATTACA', IUPACUnambiguousDNA())" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_seq = Seq('GATTACA', IUPAC.unambiguous_dna)\n", + "your_seq = Seq('GATTACA', IUPAC.unambiguous_dna)\n", + "my_seq + your_seq" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Given these properties, we can figure out simple metrics such as GC content:" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "28\n", + "4\n", + "28.571428571428573\n" + ] + } + ], + "source": [ + "my_seq = Seq('GATTACAGATTACAGATTACAGATTACA', IUPAC.unambiguous_dna)\n", + "print(len(my_seq))\n", + "print(my_seq.count(\"G\"))\n", + "print(100 * float(my_seq.count(\"G\") + my_seq.count(\"C\")) / len(my_seq))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While you could use the above snippet of code to calculate a GC\\%, note that the `Bio.SeqUtils` module has several GC functions already built. For example:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "28.571428571428573" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from Bio.SeqUtils import GC\n", + "GC(my_seq)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also translate sequences from DNA or RNA to proteins: " + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Seq('DYRLQITDY', IUPACProtein())" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_seq.translate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "'GATTACA' translates well (you should all see this movie), but other sequences aren't so lucky: " + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Seq('VQM*YTDYRL', HasStopCodon(IUPACProtein(), '*'))" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "my_bad_seq = Seq('GTACAGATGTAGTATACAGATTACAGATTACA', IUPAC.unambiguous_dna)\n", + "my_bad_seq.translate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Reading Sequence Files\n", + "
\n", + "The workhorse function Bio.SeqIO.parse() is used to read in sequence data as SeqRecord objects. This function expects two arguments:\n", + "\n", + "* The first argument is a _handle_ to read the data from, or a filename. A handle is typically a file opened for reading, but could be the output from a command line program, or data downloaded from the internet.\n", + "\n", + "* The second argument is a lower case string specifying sequence format -- we don't try and guess the file format for you! See http://biopython.org/wiki/SeqIO for a full listing of supported formats. In this course, we will mostly use .fasta format\n", + "\n", + "There is an optional argument alphabet to specify the alphabet to be used. This is useful for file formats like FASTA where otherwise Bio.SeqIO will default to a generic alphabet.\n", + "\n", + "The Bio.SeqIO.parse() function returns an _iterator_ which gives SeqRecord objects. Iterators are typically used in a for loop as shown below.\n", + "\n", + "Sometimes you'll find yourself dealing with files which contain only a single record. For this situation use the function Bio.SeqIO.read() which takes the same arguments. Provided there is one and only one record in the file, this is returned as a SeqRecord object. Otherwise an exception is raised. \n", + "
\n", + "
\n", + "In general Bio.SeqIO.parse() is used to read in sequence files as SeqRecord objects, and is typically used with a for loop like this:
\n", + "**Note: make sure you have the sequences.txt file in the same path as your notebook. Or, list the full path.**" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ot_Chr10_26045\n", + "Seq('ATGGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTG...TGA', SingleLetterAlphabet())\n", + "3357\n", + "Ot_Chr10_26047\n", + "Seq('ATGGCTCGGCGGCCGCAGCCGGCGGTGGCGCCCCCCGCGCGGAAGGTCCCCCTC...TAA', SingleLetterAlphabet())\n", + "1494\n", + "Ot_Chr10_n30047\n", + "Seq('ATGGCTGATAAGGCGGATTGGGGTGATGTGTACTTGAGGCATTTGATTGATGTT...TAG', SingleLetterAlphabet())\n", + "595\n", + "Ot_Chr10_n30369\n", + "Seq('GCTGCTGCGGGCGGCGGCAGTGGCCCTGCTGCGTGCGCGGCGTGCAAGTTCCAG...TGA', SingleLetterAlphabet())\n", + "522\n", + "Ot_Un27_n40833\n", + "Seq('ATGGCTTCAAAACATGCACGGAGATTGGAAGGTGTAGTCCTATTACCCAAAATT...TAG', SingleLetterAlphabet())\n", + "2259\n", + "Ot_Un27_26314\n", + "Seq('ATGATCTCTGGGAGAACCATCTACCATGTTCTTGAAGAAACAGTGCCCTTATAT...TAA', SingleLetterAlphabet())\n", + "1122\n", + "Ot_Un27_27313\n", + "Seq('ATGGGTCCCGGCCTGTACTCCGACATCGGCAAGAAGGCGAGGGATCTCCTGTAT...TGA', SingleLetterAlphabet())\n", + "828\n" + ] + } + ], + "source": [ + "from Bio import SeqIO\n", + "for seq_record in list(SeqIO.parse(\"sequences.txt\", \"fasta\")):\n", + " \n", + " print(seq_record.id) # prints sequence header\n", + " print(repr(seq_record.seq)) # prints snipit of actual sequence\n", + " print(len(seq_record)) # prints length of each sequence in the file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Sequence files as dictionaries\n", + "
\n", + "
\n", + "The next thing that we'll do with our sequence files is to show how\n", + "to index them and access them like a database using the Python dictionary\n", + "data type. This is very useful for moderately large files\n", + "where you only need to access certain elements of the file, and makes for a nice\n", + "quick 'n dirty database.\n", + "\n", + "You can use the function `Bio.SeqIO.to_dict()` to make a SeqRecord dictionary\n", + "(in memory). By default this will use each record's identifier (i.e. the .id\n", + "attribute) as the key. Let's try this:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7\n", + "dict_keys(['Ot_Chr10_26045', 'Ot_Chr10_26047', 'Ot_Chr10_n30047', 'Ot_Chr10_n30369', 'Ot_Un27_n40833', 'Ot_Un27_26314', 'Ot_Un27_27313'])\n" + ] + } + ], + "source": [ + "grass_dict = SeqIO.to_dict(SeqIO.parse(\"sequences.txt\", \"fasta\"))\n", + "print(len(grass_dict))\n", + "print(grass_dict.keys())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can access a single entry from the dictionary. This may be trivial with our 7 sequence file, but it is massively helpful in a ~30,000 sequence file:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ot_Chr10_26045\n", + "Seq('ATGGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTG...TGA', SingleLetterAlphabet())\n", + "3357\n" + ] + } + ], + "source": [ + "seq_record = grass_dict[\"Ot_Chr10_26045\"]\n", + "print(seq_record.description)\n", + "print(repr(seq_record.seq))\n", + "print(len(seq_record.seq))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Writing sequence files\n", + "We've talked about using `Bio.SeqIO.parse()` for sequence input (reading files), and now we'll look at `Bio.SeqIO.write(`) which is for sequence output (writing files). This is a function taking three arguments: some SeqRecord objects, a handle or filename to write to, and a sequence format. Maybe we want to take a single sequence from our multi sequence file and write a new file:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "single_grass_gene = grass_dict[\"Ot_Chr10_26045\"]\n", + "SeqIO.write(single_grass_gene, \"grass_gene.fa\", \"fasta\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Maybe we want to keep all of our sequences but sort them by length. This can be done pretty easily with the `.sort` function" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ot_Chr10_n30369\n", + "522\n", + "Ot_Chr10_n30047\n", + "595\n", + "Ot_Un27_27313\n", + "828\n", + "Ot_Un27_26314\n", + "1122\n", + "Ot_Chr10_26047\n", + "1494\n", + "Ot_Un27_n40833\n", + "2259\n", + "Ot_Chr10_26045\n", + "3357\n" + ] + } + ], + "source": [ + "from Bio import SeqIO\n", + "records = list(SeqIO.parse(\"sequences.txt\", \"fasta\"))\n", + "records.sort(key=lambda r: len(r))\n", + "SeqIO.write(records, \"sequences_sorted.txt\", \"fasta\")\n", + "\n", + "#Lets check to make sure they're sorted\n", + "for seq_record in list(SeqIO.parse(\"sequences_sorted.txt\", \"fasta\")):\n", + " print(seq_record.id) # prints sequence header\n", + " print(len(seq_record)) # prints length of each sequence in the file\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lets say we want to sort it the opposite way:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ot_Chr10_26045\n", + "3357\n", + "Ot_Un27_n40833\n", + "2259\n", + "Ot_Chr10_26047\n", + "1494\n", + "Ot_Un27_26314\n", + "1122\n", + "Ot_Un27_27313\n", + "828\n", + "Ot_Chr10_n30047\n", + "595\n", + "Ot_Chr10_n30369\n", + "522\n" + ] + } + ], + "source": [ + "from Bio import SeqIO\n", + "records = list(SeqIO.parse(\"sequences.txt\", \"fasta\"))\n", + "records.sort(key=lambda r: -len(r))\n", + "SeqIO.write(records, \"sequences_sorted.txt\", \"fasta\")\n", + "\n", + "#Lets check to make sure they're sorted\n", + "for seq_record in list(SeqIO.parse(\"sequences_sorted.txt\", \"fasta\")):\n", + " print(seq_record.id) # prints sequence header\n", + " print(len(seq_record)) # prints length of each sequence in the file\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "___" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In Class Activities: BLAST and Genome Assembly" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Running BLAST over the Internet\n", + "\n", + "\n", + "We use the function `qblast()` in the `Bio.Blast.NCBIWWW` module to call\n", + "the online version of BLAST. This has three non-optional arguments:\n", + "\n", + "- The first argument is the blast program to use for the search, as a\n", + " lower case string. The options and descriptions of the programs are\n", + " available at\n", + " . Currently\n", + " `qblast` only works with blastn, blastp, blastx, tblast and tblastx.\n", + "\n", + "- The second argument specifies the databases to search against.\n", + " Again, the options for this are available on the NCBI web pages at\n", + " .\n", + "\n", + "- The third argument is a string containing your query sequence. This\n", + " can either be the sequence itself, the sequence in fasta format, or\n", + " an identifier like a GI number.\n", + "\n", + "The `qblast` function also take a number of other option arguments which\n", + "are basically analogous to the different parameters you can set on the\n", + "BLAST web page. We’ll just highlight a few of them here:\n", + "\n", + "- The `qblast` function can return the BLAST results in various\n", + " formats, which you can choose with the optional `format_type`\n", + " keyword: `\"HTML\"`, `\"Text\"`, `\"ASN.1\"`, or `\"XML\"`. The default is\n", + " `\"XML\"`.\n", + "\n", + "- The argument `expect` sets the expectation or e-value threshold.\n", + "\n", + "For more about the optional BLAST arguments, we refer you to the NCBI’s\n", + "own documentation, or that built into Biopython:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function qblast in module Bio.Blast.NCBIWWW:\n", + "\n", + "qblast(program, database, sequence, url_base='https://blast.ncbi.nlm.nih.gov/Blast.cgi', auto_format=None, composition_based_statistics=None, db_genetic_code=None, endpoints=None, entrez_query='(none)', expect=10.0, filter=None, gapcosts=None, genetic_code=None, hitlist_size=50, i_thresh=None, layout=None, lcase_mask=None, matrix_name=None, nucl_penalty=None, nucl_reward=None, other_advanced=None, perc_ident=None, phi_pattern=None, query_file=None, query_believe_defline=None, query_from=None, query_to=None, searchsp_eff=None, service=None, threshold=None, ungapped_alignment=None, word_size=None, short_query=None, alignments=500, alignment_view=None, descriptions=500, entrez_links_new_window=None, expect_low=None, expect_high=None, format_entrez_query=None, format_object=None, format_type='XML', ncbi_gi=None, results_file=None, show_overview=None, megablast=None, template_type=None, template_length=None)\n", + " BLAST search using NCBI's QBLAST server or a cloud service provider.\n", + " \n", + " Supports all parameters of the old qblast API for Put and Get.\n", + " \n", + " Please note that NCBI uses the new Common URL API for BLAST searches\n", + " on the internet (http://ncbi.github.io/blast-cloud/dev/api.html). Thus,\n", + " some of the parameters used by this function are not (or are no longer)\n", + " officially supported by NCBI. Although they are still functioning, this\n", + " may change in the future.\n", + " \n", + " The Common URL API (http://ncbi.github.io/blast-cloud/dev/api.html) allows\n", + " doing BLAST searches on cloud servers. To use this feature, please set\n", + " ``url_base='http://host.my.cloud.service.provider.com/cgi-bin/blast.cgi'``\n", + " and ``format_object='Alignment'``. For more details, please see\n", + " https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastDocs&DOC_TYPE=CloudBlast\n", + " \n", + " Some useful parameters:\n", + " \n", + " - program blastn, blastp, blastx, tblastn, or tblastx (lower case)\n", + " - database Which database to search against (e.g. \"nr\").\n", + " - sequence The sequence to search.\n", + " - ncbi_gi TRUE/FALSE whether to give 'gi' identifier.\n", + " - descriptions Number of descriptions to show. Def 500.\n", + " - alignments Number of alignments to show. Def 500.\n", + " - expect An expect value cutoff. Def 10.0.\n", + " - matrix_name Specify an alt. matrix (PAM30, PAM70, BLOSUM80, BLOSUM45).\n", + " - filter \"none\" turns off filtering. Default no filtering\n", + " - format_type \"HTML\", \"Text\", \"ASN.1\", or \"XML\". Def. \"XML\".\n", + " - entrez_query Entrez query to limit Blast search\n", + " - hitlist_size Number of hits to return. Default 50\n", + " - megablast TRUE/FALSE whether to use MEga BLAST algorithm (blastn only)\n", + " - short_query TRUE/FALSE whether to adjust the search parameters for a\n", + " short query sequence. Note that this will override\n", + " manually set parameters like word size and e value. Turns\n", + " off when sequence length is > 30 residues. Default: None.\n", + " - service plain, psi, phi, rpsblast, megablast (lower case)\n", + " \n", + " This function does no checking of the validity of the parameters\n", + " and passes the values to the server as is. More help is available at:\n", + " https://ncbi.github.io/blast-cloud/dev/api.html\n", + "\n" + ] + } + ], + "source": [ + "from Bio.Blast import NCBIWWW\n", + "help(NCBIWWW.qblast)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lets try BLASTing the previous file we wrote (grass_gene.fa) and see if we can figure out what species this gene came from! We can get fancy, but this logic is applied to all sorts of analyses and comparisons.
\n", + "We will use `SeqIO.read` to read our fasta sequence and `NCBIWWW.qblast` to BLAST our sequence to all of the sequences in NCBI. Note: you must be connected to the internet for this to work. You can run local BLAST as well, but that is for another lesson. \n", + "We will use `\"blastn\"` and `\"nt\"` because both the subject and query are nucleotide files, and we will set the output format type to `.text` so it is easier for us to read by eye. We can change other parameters as well, but default is fine for our purposes. \n", + "
\n", + "**Note:** This may take a few minutes, depending on how busy the BLAST servers are and how many sequences you are BLASTing at a time. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "from Bio.Blast import NCBIWWW\n", + "query = SeqIO.read(\"grass_gene.fa\", format=\"fasta\")\n", + "result_handle = NCBIWWW.qblast(\"blastn\", \"nt\", query.seq, format_type=\"Text\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We need to be a bit careful since we can use `result_handle.read()` to\n", + "read the BLAST output only once – calling `result_handle.read()` again\n", + "returns an empty string. After doing this, the results are in the file `my_blast.txt` and the\n", + "original handle has had all its data extracted (so we closed it)." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "with open(\"my_blast.txt\", \"w\") as save_to:\n", + " save_to.write(result_handle.read())\n", + " result_handle.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have sucessfully saved our output, lets use a loop to read the file. What species are these sequences from? " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "

\n", + "\n", + "

\n",
+      "\n",
+      "BLASTN 2.10.0+\n",
+      "\n",
+      "Reference: Stephen F. Altschul, Thomas L. Madden, Alejandro\n",
+      "\n",
+      "A. Schaffer, Jinghui Zhang, Zheng Zhang, Webb Miller, and\n",
+      "\n",
+      "David J. Lipman (1997), \"Gapped BLAST and PSI-BLAST: a new\n",
+      "\n",
+      "generation of protein database search programs\", Nucleic\n",
+      "\n",
+      "Acids Res. 25:3389-3402.\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "RID: UVFJX12U01R\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "Database: Nucleotide collection (nt)\n",
+      "\n",
+      "           56,496,701 sequences; 253,942,268,922 total letters\n",
+      "\n",
+      "Query= \n",
+      "\n",
+      "Length=3357\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "                                                                   Score     E     Max\n",
+      "\n",
+      "Sequences producing significant alignments:                       (Bits)  Value  Ident\n",
+      "\n",
+      "\n",
+      "\n",
+      "GU480079.1 Distichlis spicata plasma membrane Na+/H+ transport...  4874    0.0    92%         \n",
+      "\n",
+      "AB244217.1 Phragmites australis PhaNHA1-n mRNA for Na+/H+ anti...  4241    0.0    88%         \n",
+      "\n",
+      "AB244216.1 Phragmites australis PhaNHA1-u mRNA for Na+/H+ anti...  4241    0.0    88%         \n",
+      "\n",
+      "AB244218.1 Phragmites australis PhaNHA1-e mRNA for Na+/H+ anti...  4236    0.0    88%         \n",
+      "\n",
+      "XM_025952265.1 PREDICTED: Panicum hallii sodium/hydrogen excha...  3852    0.0    85%         \n",
+      "\n",
+      "XM_004963297.4 PREDICTED: Setaria italica sodium/hydrogen exch...  3734    0.0    84%         \n",
+      "\n",
+      "MH992129.1 Saccharum spontaneum isolate WT salt overly sensiti...  3445    0.0    83%         \n",
+      "\n",
+      "MH992128.1 Saccharum officinarum isolate KPS salt overly sensi...  3438    0.0    83%         \n",
+      "\n",
+      "XM_002443629.2 PREDICTED: Sorghum bicolor sodium/hydrogen exch...  3388    0.0    82%         \n",
+      "\n",
+      "NM_001362235.1 Zea mays uncharacterized LOC100383969 (LOC10038...  3374    0.0    82%         \n",
+      "\n",
+      "MH992127.1 Saccharum officinarum x Saccharum spontaneum isolat...  3371    0.0    82%         \n",
+      "\n",
+      "MG602252.1 Oryza sativa Indica Group cultivar Pokkali salt ove...  3356    0.0    83%         \n",
+      "\n",
+      "XM_015763865.2 PREDICTED: Oryza sativa Japonica Group sodium/h...  3347    0.0    83%         \n",
+      "\n",
+      "AY785147.1 Oryza sativa (japonica cultivar-group) Na+/H+ antip...  3347    0.0    83%         \n",
+      "\n",
+      "XM_006664193.2 PREDICTED: Oryza brachyantha sodium/hydrogen ex...  3323    0.0    83%         \n",
+      "\n",
+      "AY328087.1 Oryza sativa (japonica cultivar-group) putative Na+...  3307    0.0    83%         \n",
+      "\n",
+      "XM_008647521.3 PREDICTED: Zea mays Sodium/hydrogen exchanger 7...  3304    0.0    81%         \n",
+      "\n",
+      "XM_003576457.4 PREDICTED: Brachypodium distachyon sodium/hydro...  3241    0.0    81%         \n",
+      "\n",
+      "KC113048.1 Indosasa sinica plasmalemma Na+/H+ antiporter (sos1...  3232    0.0    83%         \n",
+      "\n",
+      "FN356230.1 Aegilops speltoides mRNA for salt overly sensitive ...  3115    0.0    80%         \n",
+      "\n",
+      "XM_020335052.1 PREDICTED: Aegilops tauschii subsp. tauschii so...  3109    0.0    80%         \n",
+      "\n",
+      "AY326952.3 Triticum aestivum putative plasma membrane Na+/H+ a...  3107    0.0    82%         \n",
+      "\n",
+      "HM802331.1 Triticum aestivum plasma membrane Na+/H+ antiporter...  3100    0.0    80%         \n",
+      "\n",
+      "KJ563229.1 Triticum aestivum cultivar Kharchiya 65 salt overly...  3095    0.0    80%         \n",
+      "\n",
+      "MF101260.1 Hordeum brevisubulatum SOS-like protein (SOS1L) mRN...  3094    0.0    82%         \n",
+      "\n",
+      "KJ563230.1 Triticum aestivum cultivar WR704 salt overly sensit...  3094    0.0    82%         \n",
+      "\n",
+      "AK447260.1 Triticum aestivum mRNA, clone: tplb0028k06, cultiva...  3089    0.0    81%         \n",
+      "\n",
+      "EU552490.1 Triticum turgidum subsp. durum plasma membrane Na+/...  3089    0.0    81%         \n",
+      "\n",
+      "FN356229.1 Triticum monococcum mRNA for salt overly sensitive ...  3088    0.0    80%         \n",
+      "\n",
+      "FN356232.1 Triticum aestivum mRNA for salt overly sensitive 1 ...  3086    0.0    80%         \n",
+      "\n",
+      "FN356231.1 Aegilops tauschii mRNA for salt overly sensitive 1 ...  3082    0.0    80%         \n",
+      "\n",
+      "KX268354.1 Triticum turgidum subsp. durum voucher CU-PBRL37 pl...  3077    0.0    81%         \n",
+      "\n",
+      "AB628205.1 Puccinellia tenuiflora PutNHA mRNA for Na+/H+ antip...  3008    0.0    81%         \n",
+      "\n",
+      "GQ452778.1 Puccinellia tenuiflora plasma membrane Na+/H+ antip...  2961    0.0    80%         \n",
+      "\n",
+      "EF440291.2 Puccinellia tenuiflora Na+/H+ antiporter (NHA1) mRN...  2959    0.0    79%         \n",
+      "\n",
+      "AY987046.1 Lolium perenne SOS1 mRNA, partial cds                   2908    0.0    80%         \n",
+      "\n",
+      "FJ865581.1 Distichlis spicata plasma membrane Na+/H+ antiporte...  2851    0.0    79%         \n",
+      "\n",
+      "JN936862.1 Aeluropus littoralis plasma membrane Na+/H+ antipor...  2847    0.0    79%         \n",
+      "\n",
+      "HQ329792.2 Aeluropus littoralis plasma membrane Na+/H+ antipor...  2843    0.0    79%         \n",
+      "\n",
+      "XM_020316905.1 PREDICTED: Aegilops tauschii subsp. tauschii so...  2352    0.0    79%         \n",
+      "\n",
+      "XM_020316904.1 PREDICTED: Aegilops tauschii subsp. tauschii so...  2321    0.0    78%         \n",
+      "\n",
+      "XM_020316903.1 PREDICTED: Aegilops tauschii subsp. tauschii so...  2321    0.0    78%         \n",
+      "\n",
+      "AK065608.1 Oryza sativa Japonica Group cDNA clone:J013034C18, ...  2259    0.0    82%         \n",
+      "\n",
+      "XM_010938530.3 PREDICTED: Elaeis guineensis sodium/hydrogen ex...  1947    0.0    75%         \n",
+      "\n",
+      "XM_010938530.2 PREDICTED: Elaeis guineensis sodium/hydrogen ex...  1947    0.0    75%         \n",
+      "\n",
+      "XR_003386897.1 PREDICTED: Phoenix dactylifera sodium/hydrogen ...  1936    0.0    75%         \n",
+      "\n",
+      "XM_008799878.3 PREDICTED: Phoenix dactylifera sodium/hydrogen ...  1936    0.0    75%         \n",
+      "\n",
+      "XM_029267926.1 PREDICTED: Elaeis guineensis sodium/hydrogen ex...  1922    0.0    76%         \n",
+      "\n",
+      "XM_010938529.3 PREDICTED: Elaeis guineensis sodium/hydrogen ex...  1920    0.0    75%         \n",
+      "\n",
+      "XM_010938529.2 PREDICTED: Elaeis guineensis sodium/hydrogen ex...  1920    0.0    75%         \n",
+      "\n",
+      "\n",
+      "\n",
+      "ALIGNMENTS\n",
+      "\n",
+      ">GU480079.1 Distichlis spicata plasma membrane Na+/H+ transporter (SOS1-2) \n",
+      "\n",
+      "mRNA, complete cds\n",
+      "\n",
+      "Length=3623\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 4874 bits (5405),  Expect = 0.0\n",
+      "\n",
+      " Identities = 3111/3389 (92%), Gaps = 42/3389 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1     ATGGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGA  60\n",
+      "\n",
+      "             |||||||||||||| ||||| || || ||||||||||| | ||| || || |||||||||\n",
+      "\n",
+      "Sbjct  88    ATGGGTGAGCCTGAGCCTGATGACGCTGTGCTCTTCGTCGGGGTGTCCCTCGTGCTGGGA  147\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  61    ATCGCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATC  120\n",
+      "\n",
+      "             |||||||| |||||||| ||||| ||||||||||||||||||||||| ||||| ||  ||\n",
+      "\n",
+      "Sbjct  148   ATCGCCTCCCGCCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTAGTC  207\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  121   CTCGGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGA  180\n",
+      "\n",
+      "             |||||| | |||||||| ||||||||||  |||||||| |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  208   CTCGGCATAGCCCTCGGATCCCTCGAATATGGAACTCCGCATGGTCTGGGCAAACTTGGA  267\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  181   GCTGGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCT  240\n",
+      "\n",
+      "             |||||||||||||| |||||||||||||||||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  268   GCTGGCATTCGTATCTGGGCTAACATAAACCCTGATCTTCTCTTGGCTGTTTTTCTACCT  327\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  241   GCCCTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCA  300\n",
+      "\n",
+      "             |||||||| || |||||| | |||||||||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  328   GCCCTCTTATTTGAAAGCGCATTTTCAATGGAGATACACCAAATCAAGAGATGTATGGCA  387\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  301   CAGATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTT  360\n",
+      "\n",
+      "             ||||||||| ||||||||||||| |||||||| ||||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  388   CAGATGGTGTTGCTTGCTGGACCGGGTGTCGTAATATCAACATTTTTACTTGGCACTCTT  447\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  361   GTAAAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTT  420\n",
+      "\n",
+      "              ||||||| ||||||||||||||||||||||||||| ||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  448   ATAAAGGTCACTTTTCCATACAACTGGAGCTGGAAAATATCATTGTTGCTCGGTGGACTT  507\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  421   CTTAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAA  480\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||| |||||||||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  508   CTTAGTGCAACTGATCCTGTTGCTGTGGTTGCGCTGCTAAAAGAACTCGGGGCAAGTAAA  567\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  481   AAGCTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTC  540\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  568   AAGCTCAGTACAATAATTGAGGGTGAATCACTAATGAACGATGGGACTGCTATTGTTGTC  627\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  541   TATCAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAG  600\n",
+      "\n",
+      "             |||||||||||||||||||||||||| |||||||||||||||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  628   TATCAACTATTTTTACGAATGGTGCTTGGAAGAACCTTTGATGCTGGCTCAGTTATAAAG  687\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  601   TTCTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCA  660\n",
+      "\n",
+      "             ||||| |  |||||||||||||||||||||||| ||||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  688   TTCTTGTCAGAAGTTGCGCTTGGGGCTGTTGCTCTGGGCCTTGCATTTGGAATTGTATCA  747\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  661   GTACTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCT  720\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  748   GTACTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTTCACTTACTCTTGCT  807\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  721   GTCAGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCT  780\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||| |||| ||||| ||||||||| | \n",
+      "\n",
+      "Sbjct  808   GTCAGCTATATAGCTTTCTTCACTGCCCAAGATTCGTTGGAAGTTTCCGGTGTTTTGACC  867\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  781   GTCATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGC  840\n",
+      "\n",
+      "             |||||||| ||||||||||| |||||||||||||||||||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  868   GTCATGACATTGGGAATGTTCTATGCAGCTTTTGCAAAAACAGCTTTCAAGGGTGACAGC  927\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  841   CAGGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTT  900\n",
+      "\n",
+      "             |||||||||||||| ||||| ||||||||||||||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  928   CAGGAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATCGCAAATACACTTATTTTT  987\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  901   ATATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGA  960\n",
+      "\n",
+      "             |||||||||||||| |||||||||||||||||||||||||||||||| |||||||| | |\n",
+      "\n",
+      "Sbjct  988   ATATTGAGTGGGGTTGTTATTGCAGATGGTGTTCTACAAAATAATGTCCATTTTGAGAAA  1047\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  961   CATGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTT  1020\n",
+      "\n",
+      "             ||||||||||||||||| |||||||||||||||||| ||||||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  1048  CATGGCACTTCTTGGGGGTTCCTTCTTCTGCTTTATGTCTTTGTTCTAATATCCCGAGCT  1107\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1021  GTAGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAA  1080\n",
+      "\n",
+      "             ||||||||  |||||||||||||||||||| |||  |||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1108  GTAGTTGTCAGTGTTTTGTATCCATTGTTGCGTCAGTTTGGGTATGGTTTGGACTTCAAA  1167\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1081  GAGGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTA  1140\n",
+      "\n",
+      "             ||||||||||||||||| |||||||||||| |||||||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1168  GAGGCCATAATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTA  1227\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1141  TCTGTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATG  1200\n",
+      "\n",
+      "             |||||||| ||||| ||||||||||||||| |||||||| |||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1228  TCTGTTAAGCGTACCAGTGATGCAGTCCAATCTTATCTGAAACCGGAAGTTGGAACAATG  1287\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1201  TTTGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACA  1260\n",
+      "\n",
+      "             |||||||||||||||||||| ||||||||||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1288  TTTGTGTTCTTCACTGGTGGAATTGTGTTTCTGACATTGATTGTGAATGGTTCAACCACA  1347\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1261  CAATTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTG  1320\n",
+      "\n",
+      "             |||||||||||||||||||||||||||| |||||||||||| ||||||||||| | ||||\n",
+      "\n",
+      "Sbjct  1348  CAATTTTTCTTACATATGCTTGGCATGGGCAAACTGTCAGCGACAAAGGTTCGCAAATTG  1407\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1321  AAATATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGAT  1380\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1408  AAATATACGAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGAT  1467\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1381  GATGAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCAT  1440\n",
+      "\n",
+      "             |||||||| || ||||||||||||||||||||||||||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1468  GATGAAGAACTCGGACCTGCTGATTGGGTTACTGTAAAGAAATATATCACATGTTTGCAT  1527\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1441  GACTTGGATGATGAACCAGAGCATCCCCATGACATT---GACAAGGATAGCCGCATGCAT  1497\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||||||| ||   |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1528  GACTTGGACGATGAACCAGAGCATCCCCATGACGTTTCTGACAAGGATAGCCGCATGCAT  1587\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1498  ACCATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGG  1557\n",
+      "\n",
+      "             |||||||||||||||||||| ||||| |||||| ||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1588  ACCATGAACCTAAGGGATATTCGAGTGCGGCTTTTGAATGGTGTACAAGCTGCCTATTGG  1647\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1558  GGAATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTT  1617\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1648  GGAATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCGAATATTCTGATGAGATCGGTT  1707\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1618  GATGAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCC  1677\n",
+      "\n",
+      "             |||||||||||||| ||||||||| |||||||||||||||||||| |||| ||||| |||\n",
+      "\n",
+      "Sbjct  1708  GATGAAGCTATGGATCTTATCTCCGGACAACCCTTATGTGATTGGAAGGGCTTACAGTCC  1767\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1678  AATGTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTC  1737\n",
+      "\n",
+      "             |||||||||||||||| ||||||||| |||||||||||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1768  AATGTCCAGTTCCCGAGTTACTATAGGTTCCTCCAGATGAGCAGGTTACCACGAAAGCTC  1827\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1738  ATCACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTT  1797\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||||||||||| |||||||||||||\n",
+      "\n",
+      "Sbjct  1828  ATCACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATGTGCTGCATTTCTT  1887\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1798  CGTGCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTA  1857\n",
+      "\n",
+      "             ||||||||| ||| ||||||||| || || || ||||||||||| ||||||||||||| |\n",
+      "\n",
+      "Sbjct  1888  CGTGCTCACCGAATTGCAAGGCGGCAACTACACGATTTTCTTGGCGATAGTGAGGTTGCA  1947\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1858  AGAACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGAT  1917\n",
+      "\n",
+      "             |||| |||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1948  AGAATTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGAT  2007\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1918  GTTCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCA  1977\n",
+      "\n",
+      "             ||||| ||||||||||| ||||||||||||||||||||| | ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2008  GTTCGCGTTACGTTCCCACAGGTGCTACGTGTGCTAAAGACACGACAGGTCACATATTCA  2067\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1978  GTATTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAA  2037\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2068  GTATTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAA  2127\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2038  AAGGAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAAT  2097\n",
+      "\n",
+      "             ||||||||||| ||||| ||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2128  AAGGAAATGATCCATTTGGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAAT  2187\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2098  CCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGT  2157\n",
+      "\n",
+      "             ||||| |||||||||||||||||||||||||||||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  2188  CCACCAATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACTCATCCTTTAGTTGGT  2247\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2158  GCACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGG  2217\n",
+      "\n",
+      "             | ||||||||||| ||||||||||||||||||||||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  2248  GTACTGCCTGCTGCCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTTCGAGGA  2307\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2218  CATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATA  2277\n",
+      "\n",
+      "             || |||||  |||||||||||||||| |||||||| || ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  2308  CACGGTACAGTTCTTTATAAGGAAGGTTCAAGGCCAACAGGTGTATGGCTTGTTTCGATA  2367\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2278  GGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTA  2337\n",
+      "\n",
+      "             |||||||| |||||| |||||||||||||||||||| ||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  2368  GGTGTAGTAAAGTGGACAAGTCAGAGACTAAGCAGCGGGCATTCGTTGGATCCGATTTTG  2427\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2338  TCACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGAT  2397\n",
+      "\n",
+      "             ||||| |||| ||||||||||||||| |||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  2428  TCACATGGAAGCACTTTGGGTTTATATGAGGTGCTGATTGGAAAGCCATATATTTGTGAC  2487\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2398  ATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTT  2457\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||| || ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2488  ATGATTACAGATTCTGTGGTGCATTGTTTCTTCGTCGAAGCTGAAAAGATTGAGCAACTT  2547\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||||||||||||||||||  ||||||| ||||||\n",
+      "\n",
+      "Sbjct  2548  CGTCAATCAGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGTGCCCTAGTCATTGCC  2607\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATT  2577\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||||||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2608  AGGCTTTTGCTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTTCTCATT  2667\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2578  GCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGT  2637\n",
+      "\n",
+      "             ||||||||||||||| ||||||||||||||||||||||||||||||| || ||  ||| |\n",
+      "\n",
+      "Sbjct  2668  GCTGAAAGGTCGACTGTGAACGTATACATTAAGGGTGAAGACATTGAGCTCGAACACAAT  2727\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2638  TACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCT  2697\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2728  TACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGCCAAAATCTCATCACACCT  2787\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2698  CCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCT  2757\n",
+      "\n",
+      "             ||||||||||||||||| ||||||| | ||||  || |||||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  2788  CCAGCGGTGCTGCTTCCGTCGAATACCGACTTGACCTTATTTGGTCTCGAGTCTTCAGCT  2847\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2758  ATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGG  2817\n",
+      "\n",
+      "             ||||||||||| ||||||||||||| ||| ||| |||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  2848  ATGAACCATGTAGACTACTGCTATAATGCGCCCGGTTATCAAGTGGAGGCTAGAGCAAGG  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2818  ATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCA  2877\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||||||||| ||||||||||||| |||||||  |||\n",
+      "\n",
+      "Sbjct  2908  ATTATCTTCTTCGAAATAGGAAGGGTTTCCGAGATAGAGGCTGACATTCAGAGAACTGCA  2967\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2878  TCTTTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTG  2937\n",
+      "\n",
+      "             |||||| |||| ||||||||||||||||| || ||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  2968  TCTTTGCTGTCACAGACCCATGAACCTCCACGAACACTGAGCAAAGAGCACAGTGGTCTG  3027\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2938  CTCAGTTGGCCAGAAAGCTTCCGAAGATCCCG---------------------AGCTGAA  2976\n",
+      "\n",
+      "             ||||||||||||||||||||||| | | ||||                     |||||||\n",
+      "\n",
+      "Sbjct  3028  CTCAGTTGGCCAGAAAGCTTCCGGAAACCCCGAGGGCCTCACAACGTCAGCTTAGCTGAA  3087\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2977  ATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGC  3036\n",
+      "\n",
+      "             ||||||||||| ||||||||||| ||||||||||||||||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3088  ATCAGAAGCCAGCCGGGCAGCCTGTCTACAAGAGCCCTGCAACTGAGCATGTACGGCAGC  3147\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3037  ATGATGGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAG  3096\n",
+      "\n",
+      "             ||||||| ||| |||||| | ||||||||||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3148  ATGATGGATGATATGCACCCGGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATACAG  3207\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3097  GCAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACG  3156\n",
+      "\n",
+      "             |  || ||| ||||||||||||| ||||||||||||||||||||||  ||   |||||||\n",
+      "\n",
+      "Sbjct  3208  GTGACGAACCCGAGGCACAGCTCATCCTATCCCAGAGTGCCTTCAAAGCAGAGCAACACG  3267\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3157  CGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAACAGGTTG---CCTGCTTCT  3213\n",
+      "\n",
+      "             ||||||||||||||||| ||||||||||||| ||||||||| ||| ||    |||     \n",
+      "\n",
+      "Sbjct  3268  CGGCCTCTGCTCTCCGTGCAGTCGGAGGGTTCCAACATGAAGAGGCTGGAAGCTGGCGAG  3327\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3214  CCTACACCGCCTGCTCCAGCTCCGGT------------AAGATCTGAGGGGATGGAAGAC  3261\n",
+      "\n",
+      "              || |||| |||||||   ||| |||            |  | |  ||| ||||||||||\n",
+      "\n",
+      "Sbjct  3328  GCTGCACCTCCTGCTC---CTCTGGTGACCCAGCGGAGACCACCGCAGGCGATGGAAGAC  3384\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3262  AACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAGC  3321\n",
+      "\n",
+      "              ||||||| ||||| |||||||| |||||||||||||||||| ||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3385  GACAACTCGAGCGAGGAGTCTGCTGGGGAGGAAGTCATCGTCAGAGTCGACTCCCCCAGC  3444\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3322  ATGCTGTCTTTTCGTCAGTCCTCCGGCGC  3350\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  3445  ATGCTCTCTTTCCGTCAGTCCTCCGGCGC  3473\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AB244217.1 Phragmites australis PhaNHA1-n mRNA for Na+/H+ antiporter, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3680\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 4241 bits (4702),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2968/3385 (88%), Gaps = 57/3385 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  12    TGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCG  71\n",
+      "\n",
+      "             ||| |||||||| |||||||||||||| | ||| || |||||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  124   TGACCCTGACGACGCGGTGCTCTTCGTAGGGGTGTCTCTGGTGCTGGGAATCGCCTCCCG  183\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  72    CCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGC  131\n",
+      "\n",
+      "             |||||| ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||\n",
+      "\n",
+      "Sbjct  184   CCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGC  243\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  132   CCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCG  191\n",
+      "\n",
+      "             |||||| |||||||||| |||||| |  |||||||| |||||||||||| | ||||||||\n",
+      "\n",
+      "Sbjct  244   CCTCGGTTCCCTCGAATACGGAACACAGCATGGTCTCGGCAAACTTGGATCCGGCATTCG  303\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  192   TATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTT  251\n",
+      "\n",
+      "             ||| |||||||||||||||||||||||||| |||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  304   TATCTGGGCTAACATAAACCCTGATCTTCTCTTGGCTGTTTTTCTACCTGCCCTCCTGTT  363\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  252   CGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCT  311\n",
+      "\n",
+      "             ||||||||||||||||||||| || |||||||| ||||||||||||||||| |||||| |\n",
+      "\n",
+      "Sbjct  364   CGAAAGCTCGTTTTCAATGGAAATACACCAAATAAAGAGATGTATGGCACAAATGGTGTT  423\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  312   GCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTAC  371\n",
+      "\n",
+      "              |||||||||||||||||| | ||||||||| ||||||||||||||  ||||||| | ||\n",
+      "\n",
+      "Sbjct  424   ACTTGCTGGACCAGGTGTCATAATATCAACATTTTTACTTGGCACTGCTGTAAAGCTCAC  483\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  372   TTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  431\n",
+      "\n",
+      "             |||||||||||||||||||||||||  |||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  484   TTTTCCATACAACTGGAGCTGGAAAACATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  543\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  432   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTAC  491\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  544   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAATAAGCTCAGTAC  603\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  492   AATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATT  551\n",
+      "\n",
+      "             |||||||||||||||||| ||||||||||||||||||||||| |||||||||||  ||||\n",
+      "\n",
+      "Sbjct  604   AATAATTGAGGGTGAATCCCTAATGAACGATGGGACTGCTATCGTTGTCTATCAGTTATT  663\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  552   TTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGA  611\n",
+      "\n",
+      "              |   ||||||||||||||||||||||||||||||||||||| ||||||||||| |   |\n",
+      "\n",
+      "Sbjct  664   CTATAGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTTCTTGTCACA  723\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  612   AGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCT  671\n",
+      "\n",
+      "             |||| | ||||| ||||| ||| |||||||||| || |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  724   AGTTTCACTTGGAGCTGTCGCTCTGGGCCTTGCGTTTGGAATTGTTTCAGTACTGTGGCT  783\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  672   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATAT  731\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||| ||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  784   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCGCTTACTCTTGCCGTCAGCTATAT  843\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  732   AGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTT  791\n",
+      "\n",
+      "             |||||||||||||||||||||||| ||||| || ||||||||| || | || |||||| |\n",
+      "\n",
+      "Sbjct  844   AGCTTTCTTCACTGCCCAAGATTCACTGGAAGTCTCTGGTGTTCTGACCGTTATGACGCT  903\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  792   GGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTT  851\n",
+      "\n",
+      "             ||||||||| |||||||||||||||||||| ||||| |||||||| || ||| |||||||\n",
+      "\n",
+      "Sbjct  904   GGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAAAGTTT  963\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  852   ACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGG  911\n",
+      "\n",
+      "             ||| ||||| |||||||||||||||||||| ||||| || ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  964   ACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTATATTGAGTGG  1023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  912   GGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTC  971\n",
+      "\n",
+      "             ||| ||||||||||| ||||||||||| || ||||| |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  1024  GGTTGTTATTGCAGACGGTGTTCTACAGAACAATGTCCATTTTGAGAGACATGGCACTTC  1083\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  972   TTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGG  1031\n",
+      "\n",
+      "              ||||| |||||| ||||||| ||| ||||||| | |||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1084  GTGGGGCTTCCTTGTTCTGCTCTATGTCTTTGTGCAAATATCTCGAGTTGTAGTTGTTGG  1143\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1032  TGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAAT  1091\n",
+      "\n",
+      "             |||||||||||| |||||| ||| |||||||||||||||||||||||||||||||  |||\n",
+      "\n",
+      "Sbjct  1144  TGTTTTGTATCCGTTGTTGCGTCACTTTGGGTATGGTTTGGACTTGAAAGAGGCCGCAAT  1203\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1092  TCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACG  1151\n",
+      "\n",
+      "             |||||| |||||||||||| |||||||||||||||| |||||| | ||||||||||| ||\n",
+      "\n",
+      "Sbjct  1204  TCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTAGCGTTATCTGTTAAGCG  1263\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1152  TACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTT  1211\n",
+      "\n",
+      "             ||| || |||||||| ||| |||||||| |||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1264  TACCAGCGATGCAGTTCAACCTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTT  1323\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1212  CACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTT  1271\n",
+      "\n",
+      "             |||||||||||| |||||||||||| ||||| | |||||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1324  CACTGGTGGCATCGTGTTTCTGACACTGATTTTGAATGGTTCGACCACACAATTTTTGTT  1383\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1272  ACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAG  1331\n",
+      "\n",
+      "             |||||| |||||| |||||||||||||||| |||||| |||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1384  ACATATTCTTGGCCTGGACAAACTGTCAGCGACAAAGCTTCGCATATTGAAATATACAAG  1443\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1332  ACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCT  1391\n",
+      "\n",
+      "             | ||||||||||||||||||| |||||||||||||||||||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  1444  ATATGAAATGCTGAACAAAGCTTTAGAGGCTTTTGGTGAGCTTAGGGATGATGAGGAACT  1503\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1392  TGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGA  1451\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||| || || |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1504  TGGACCTGCTGATTGGGTTACTGTAAAGAAATACATCACTTGTTTGCATGACTTGGGTGA  1563\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1452  TGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCT  1508\n",
+      "\n",
+      "             ||| |||||||||||||||||  |   |||||| |||   |||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  1564  TGAGCCAGAGCATCCCCATGATGTTTCTGACAAAGATGATCGCATGCATACCATGAACTT  1623\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1509  AAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGA  1568\n",
+      "\n",
+      "             ||||||||||||||| |||||| |||||||||| |||||||| || ||||||||||||||\n",
+      "\n",
+      "Sbjct  1624  AAGGGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGA  1683\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1569  AGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTAT  1628\n",
+      "\n",
+      "             |||||||||||||| |||||| |||||||||||||| |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  1684  AGAGGGACGAATAAATCAAGCGACAGCAAATATTCTAATGAGATCAGTTGATGAAGCTAT  1743\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1629  GGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTT  1688\n",
+      "\n",
+      "             ||| ||| | ||||||||||| |||||||||||| |||||||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1744  GGATCTTGTTTCCAGACAACCATTATGTGATTGGAAGGGTTTACAGTCCAGTGTCCAGTT  1803\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1689  CCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTT  1748\n",
+      "\n",
+      "             ||||||||||||||| ||||| |||||||||| ||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1804  CCCGAATTACTATAGGTTCCTTCAGATGAGCAAGTTGCCACGAAAGCTTATCACATACTT  1863\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1749  CACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAG  1808\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||| | ||| ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1864  CACAGTAGAAAGATTGGAGTCAGGATGTTACATGTGTGCCGCATTTCTTCGTGCTCACAG  1923\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1809  AACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTAT  1868\n",
+      "\n",
+      "             || ||||||||| || || |||||||||||||||||||||||||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  1924  AATTGCAAGGCGTCAACTACATGATTTTCTTGGTGATAGTGAGGTTGCAAGAATTGTTAT  1983\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1869  TGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTAC  1928\n",
+      "\n",
+      "             |||||||||||| ||||||||||||||||||| |||||| ||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  1984  TGATGAAAGTAACGCTGAGGGGGAGGAAGCTAGAAAATTCCTGGAAGATGTTCGCATTAC  2043\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1929  GTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACA  1988\n",
+      "\n",
+      "              ||||||||||| ||||||||||||||| | ||||| |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2044  ATTCCCGCAGGTACTACGTGTGCTAAAGACGCGACAAGTCACATATTCAGTATTGACACA  2103\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1989  CCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGAT  2048\n",
+      "\n",
+      "             | |||||| |||||| ||||||||||||||||| || |||||||| |||||||||||| |\n",
+      "\n",
+      "Sbjct  2104  CTTGAGTGGGTATATCCAAAACCTCCAGAAGACTGGATTGCTGGAAGAAAAGGAAATGGT  2163\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2049  GCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGT  2108\n",
+      "\n",
+      "              ||||||||||||||||||||||||||||| ||||| ||||| |||||||||||  ||||\n",
+      "\n",
+      "Sbjct  2164  CCATTTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTGAAGAGGAATCCACCACTGGT  2223\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2109  GAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGC  2168\n",
+      "\n",
+      "             |||||||||||||||| |||| ||||||||||  ||||||||||| ||||| ||||||||\n",
+      "\n",
+      "Sbjct  2224  GAAAATGCCAAGAGTTAGTGAGCTTTTAAACAATCATCCTTTAGTTGGTGCGCTGCCTGC  2283\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2169  TGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGAT  2228\n",
+      "\n",
+      "             |||  | ||||||| ||||||||||||||||||||||||||||||||| || || |||| \n",
+      "\n",
+      "Sbjct  2284  TGTTTCGCGTGATCTTTTATTAAGTAATACAAAAGAAACTGTACGAGGACACGGCACGAA  2343\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2229  TCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAA  2288\n",
+      "\n",
+      "             |||||||| ||||||||||||||| |||||| ||||||||||||| || |||||||| ||\n",
+      "\n",
+      "Sbjct  2344  TCTTTATAGGGAAGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGTGTAGTAAA  2403\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2289  GTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAA  2348\n",
+      "\n",
+      "             |||| ||||||||||| |||||||||||||||| |||||||| || |||||||| |||||\n",
+      "\n",
+      "Sbjct  2404  GTGGACAAGTCAGAGATTAAGCAGCAGGCATTCTTTGGATCCGATCTTATCACATGGAAA  2463\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2349  CACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGA  2408\n",
+      "\n",
+      "             |||||||||| |||| |||||||||||||||||||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  2464  CACTTTGGGTCTATATGAGGTGCTGATTGGAAAGCCATATATTTGTGACATGATTACAGA  2523\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2409  TTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGA  2468\n",
+      "\n",
+      "             ||||||||| || ||||||||  | |||||||||||||| |||||| | ||||| || ||\n",
+      "\n",
+      "Sbjct  2524  TTCTGTGGTACACTGTTTCTTCATCGAAGCTGAAAAGATAGAGCAATTGCGTCAGTCAGA  2583\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2469  TCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACT  2528\n",
+      "\n",
+      "             ||| || ||||||||||||||||||||||||||| | || || |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  2584  TCCATCGATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTCATTGCCAGGCTTTTGCT  2643\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2529  TCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTC  2588\n",
+      "\n",
+      "              || |||||||||||||||||||||||||||||||||||||| || ||||||||||| ||\n",
+      "\n",
+      "Sbjct  2644  CCCACAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTTCTGATTGCTGAAAGATC  2703\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2589  GACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCAT  2648\n",
+      "\n",
+      "              ||||||||| ||||||| ||||| |||||||||||||| ||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  2704  TACTATGAACATATACATCAAGGGGGAAGACATTGAACTCGAGCAGAATTACATTGGCAT  2763\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2649  TCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCT  2708\n",
+      "\n",
+      "             | |||||||||||||||||||||||||||  |||||||| ||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2764  TTTGCTGGAAGGATTTTTGAAGACCAAGAACCAAAATCTGATCACACCTCCAGGGGTGCT  2823\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2709  GCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGT  2768\n",
+      "\n",
+      "             ||| ||||| |||| | ||||   | |||||||||| || |||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  2824  GCTGCCATCAAATACCGACTTGAACTTATTTGGTCTCGAGTCTTCAGCTATGAACCATAT  2883\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2769  GGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTT  2828\n",
+      "\n",
+      "              |||||||| || ||||| ||||| |||||||| ||||| |||||  |||||||||||||\n",
+      "\n",
+      "Sbjct  2884  AGACTACTGTTACACTGCACCCAGCTATCAAGTAGAGGCTAGAGCGCGGATTATCTTCTT  2943\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2829  TGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC  2888\n",
+      "\n",
+      "             ||||||||| ||||| |  |||  | || | ||  | ||||||| ||  || ||| || |\n",
+      "\n",
+      "Sbjct  2944  TGAAATAGGCAGGGTCTGGGAGACACAGCCCGATCTTCAGAGAACCGTGTCATTGCTGGC  3003\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2889  CCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCC  2948\n",
+      "\n",
+      "              || ||||||||||| || ||||| |||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  3004  TCAAACCCATGAACCACCACGGACCCTGAGCAAAGAGCATAGTGGCCTGCTCAGTTGGCC  3063\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2949  AGAAAGCTTCCGAAGATCCCGA---------------------GCTGAAATCAGAAGCCA  2987\n",
+      "\n",
+      "             |||||||||||| |  ||||||                     ||||| || |||| |||\n",
+      "\n",
+      "Sbjct  3064  AGAAAGCTTCCGGAAGTCCCGAGGGCCTCACAATGTCAGCTTTGCTGAGATGAGAAACCA  3123\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2988  CCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGA  3047\n",
+      "\n",
+      "              ||||||||||||||| | |||||||||||| ||||||||||||| ||||||||   |||\n",
+      "\n",
+      "Sbjct  3124  ACCGGGCAGCCTCTCTGCTAGAGCCCTGCAGTTGAGCATGTACGGCAGCATGATCAATGA  3183\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3048  CATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGC  3107\n",
+      "\n",
+      "             ||||||||| |||||||| |||||||||||| ||||    |||||||||||||| |||  \n",
+      "\n",
+      "Sbjct  3184  CATGCACTCGGGTCAGGGTCAGAGGCGGCAGAGGCA---CCGCATGCAGGCAACGAACCA  3240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3108  GAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCT  3167\n",
+      "\n",
+      "             || ||| ||||| ||||| ||||||||||| ||||| |   ||||| |||||||||||||\n",
+      "\n",
+      "Sbjct  3241  GAAGCATAGCTCCTCCTACCCCAGAGTGCCGTCAAGGCCGTCCAACGCGCGGCCTCTGCT  3300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3168  CTCCGTTCAGTCGGAGGGTTTCAACATGAACAGGTTGCCTGCTTCTCCTACA----CCGC  3223\n",
+      "\n",
+      "             |||||| ||||||||||||| ||||||||| ||  ||   ||  |||| | |    | | \n",
+      "\n",
+      "Sbjct  3301  CTCCGTGCAGTCGGAGGGTTCCAACATGAAGAGAATG---GCAGCTCCAAAAGAAGCTGG  3357\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3224  C--TGCTCCAGCTCCGGTAAGATCTG------------------AGGGGATGGAAGACAA  3263\n",
+      "\n",
+      "             |   ||||| |||||||  |  || |                  ||| |||||||| |||\n",
+      "\n",
+      "Sbjct  3358  CGAGGCTCCTGCTCCGGCGACCTCCGCAGGCCAGCGGCGACGGAAGGCGATGGAAGCCAA  3417\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3264  CAACTCAAG---CGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAG  3320\n",
+      "\n",
+      "             |||||| ||   ||||||||| || ||||| |||||||| ||| ||||||||||||| ||\n",
+      "\n",
+      "Sbjct  3418  CAACTCCAGCGACGACGAGTCCGCGGGGGAAGAAGTCATTGTCAGAGTCGACTCCCCCAG  3477\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3321  CATGCTGTCTTTTCGTCAGTCCTCC  3345\n",
+      "\n",
+      "             |||||||||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  3478  CATGCTGTCTTTCCGCCAGCCCTCC  3502\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AB244216.1 Phragmites australis PhaNHA1-u mRNA for Na+/H+ antiporter, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3659\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 4241 bits (4702),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2968/3385 (88%), Gaps = 57/3385 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  12    TGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCG  71\n",
+      "\n",
+      "             ||| |||||||| |||||||||||||| | ||| ||||||||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  170   TGAGCCTGACGACGCGGTGCTCTTCGTAGGGGTGTCGCTGGTGCTGGGAATCGCCTCCCG  229\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  72    CCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGC  131\n",
+      "\n",
+      "             |||||| ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||\n",
+      "\n",
+      "Sbjct  230   CCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGC  289\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  132   CCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCG  191\n",
+      "\n",
+      "             |||||| |||||||||| |||||| |  |||||||| |||||||||||| | ||||||||\n",
+      "\n",
+      "Sbjct  290   CCTCGGTTCCCTCGAATACGGAACACAGCATGGTCTCGGCAAACTTGGATCCGGCATTCG  349\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  192   TATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTT  251\n",
+      "\n",
+      "             ||| |||||||||||||||||||||||||| |||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  350   TATCTGGGCTAACATAAACCCTGATCTTCTCTTGGCTGTTTTTCTACCTGCCCTCCTGTT  409\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  252   CGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCT  311\n",
+      "\n",
+      "             ||||||||||||||||||||| || |||||||| ||||||||||||||||| |||||| |\n",
+      "\n",
+      "Sbjct  410   CGAAAGCTCGTTTTCAATGGAAATACACCAAATAAAGAGATGTATGGCACAAATGGTGTT  469\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  312   GCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTAC  371\n",
+      "\n",
+      "              |||||||||||||||||| | ||||||||| ||||||||||||||  ||||||| | ||\n",
+      "\n",
+      "Sbjct  470   ACTTGCTGGACCAGGTGTCATAATATCAACATTTTTACTTGGCACTGCTGTAAAGCTCAC  529\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  372   TTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  431\n",
+      "\n",
+      "             |||||||||||||||||||||||||  |||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  530   TTTTCCATACAACTGGAGCTGGAAAACATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  589\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  432   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTAC  491\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  590   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAATAAGCTCAGTAC  649\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  492   AATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATT  551\n",
+      "\n",
+      "             |||||||||||||||||| |||||||||||||||||||||||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  650   AATAATTGAGGGTGAATCCCTAATGAACGATGGGACTGCTATTGTTGTCTATCAGTTATT  709\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  552   TTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGA  611\n",
+      "\n",
+      "              |  |||||||||||||||||||||||||||||||||||||| || |||||||| |   |\n",
+      "\n",
+      "Sbjct  710   CTATCGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATAATGAAGTTCTTGTCACA  769\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  612   AGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCT  671\n",
+      "\n",
+      "             |||| | ||||| ||||| ||| |||||||||| || |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  770   AGTTTCACTTGGAGCTGTCGCTCTGGGCCTTGCGTTTGGAATTGTTTCAGTACTGTGGCT  829\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  672   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATAT  731\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||| ||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  830   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCGCTTACTCTTGCCGTCAGCTATAT  889\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  732   AGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTT  791\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||| || ||||||||| |  | || ||||||||\n",
+      "\n",
+      "Sbjct  890   AGCTTTCTTCACTGCCCAAGATTCGCTGGAAGTCTCTGGTGTTCTTACCGTTATGACGTT  949\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  792   GGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTT  851\n",
+      "\n",
+      "             ||||||||| |||||||||||||||||||| ||||| |||||||| || ||| |||||||\n",
+      "\n",
+      "Sbjct  950   GGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAAAGTTT  1009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  852   ACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGG  911\n",
+      "\n",
+      "             ||| ||||| |||||||||||||||||||| ||||| || ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1010  ACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTATATTGAGTGG  1069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  912   GGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTC  971\n",
+      "\n",
+      "             ||| ||||||||||| ||||||||||| || ||||| |||||||| || |||||||||||\n",
+      "\n",
+      "Sbjct  1070  GGTTGTTATTGCAGACGGTGTTCTACAGAACAATGTCCATTTTGAGAGGCATGGCACTTC  1129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  972   TTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGG  1031\n",
+      "\n",
+      "              ||||| |||||| ||||||| ||| ||||||| | |||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1130  GTGGGGCTTCCTTGTTCTGCTCTATGTCTTTGTGCAAATATCTCGAGTTGTAGTTGTTGG  1189\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1032  TGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAAT  1091\n",
+      "\n",
+      "             |||||||||||| ||||| |||| |||||||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1190  TGTTTTGTATCCGTTGTTATGTCACTTTGGGTATGGTTTGGACTTGAAAGAGGCCACAAT  1249\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1092  TCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACG  1151\n",
+      "\n",
+      "             |||||| |||||||||||| |||||||||||||||| |||||| | ||||||||||| ||\n",
+      "\n",
+      "Sbjct  1250  TCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTAGCGTTATCTGTTAAGCG  1309\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1152  TACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTT  1211\n",
+      "\n",
+      "             ||| || |||||||| ||| |||||||| |||| ||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1310  TACCAGCGATGCAGTTCAACCTTATCTGAAACCGGAAGTTGGAACAATGTTTGTGTTCTT  1369\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1212  CACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTT  1271\n",
+      "\n",
+      "             |||||||||||| |||||||||||| ||||| | |||||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1370  CACTGGTGGCATCGTGTTTCTGACACTGATTTTGAATGGTTCGACCACACAATTTTTGTT  1429\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1272  ACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAG  1331\n",
+      "\n",
+      "             ||||||||||||| |||||||||||||||| |||||| |||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1430  ACATATGCTTGGCCTGGACAAACTGTCAGCGACAAAGCTTCGCATATTGAAATATACAAG  1489\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1332  ACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCT  1391\n",
+      "\n",
+      "             | ||||||||||||||||||| ||||||||||||||||||||||||||||| || || ||\n",
+      "\n",
+      "Sbjct  1490  ATATGAAATGCTGAACAAAGCTTTAGAGGCTTTTGGTGAGCTTAGGGATGACGAGGAACT  1549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1392  TGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGA  1451\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||| || || |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1550  TGGACCTGCTGATTGGGTTACTGTAAAGAAATACATCACTTGTTTGCATGACTTGGGTGA  1609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1452  TGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCT  1508\n",
+      "\n",
+      "             ||| |||||||||||||||||  |   |||||| |||   |||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  1610  TGAGCCAGAGCATCCCCATGATGTTTCTGACAAAGATGATCGCATGCATACCATGAACTT  1669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1509  AAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGA  1568\n",
+      "\n",
+      "             ||||||||||||||| |||||| |||||||||| |||||||| || ||||||||||||||\n",
+      "\n",
+      "Sbjct  1670  AAGGGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGA  1729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1569  AGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTAT  1628\n",
+      "\n",
+      "             |||||||||||||| |||||| |||||||||||||| |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  1730  AGAGGGACGAATAAATCAAGCGACAGCAAATATTCTAATGAGATCAGTTGATGAAGCTAT  1789\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1629  GGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTT  1688\n",
+      "\n",
+      "             ||| ||| | ||||||||||| |||||||||||| |||||||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1790  GGATCTTGTTTCCAGACAACCATTATGTGATTGGAAGGGTTTACAGTCCAGTGTCCAGTT  1849\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1689  CCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTT  1748\n",
+      "\n",
+      "             ||||||||||||||| ||||| |||||||||| ||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1850  CCCGAATTACTATAGGTTCCTTCAGATGAGCAAGTTGCCACGAAAGCTTATCACATACTT  1909\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1749  CACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAG  1808\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||| | ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1910  CACAGTAGAAAGATTGGAGTCAGGATGTTACATGTGTGCTGCATTTCTTCGTGCTCACAG  1969\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1809  AACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTAT  1868\n",
+      "\n",
+      "             || ||||||||| || || |||||||||||||||||||||||||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  1970  AATTGCAAGGCGTCAACTACATGATTTTCTTGGTGATAGTGAGGTTGCAAGAATTGTTAT  2029\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1869  TGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTAC  1928\n",
+      "\n",
+      "             |||||||||||| ||||||||||||||||||| |||||| ||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  2030  TGATGAAAGTAACGCTGAGGGGGAGGAAGCTAGAAAATTCCTGGAAGATGTTCGCATTAC  2089\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1929  GTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACA  1988\n",
+      "\n",
+      "              ||||||||||| ||||||||||||||| | ||||| ||||||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  2090  ATTCCCGCAGGTACTACGTGTGCTAAAGACGCGACAAGTCACATATTCAGTATTGACAAA  2149\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1989  CCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGAT  2048\n",
+      "\n",
+      "             | |||||| |||||| ||||||||||||||||| || |||||||| |||||||||||| |\n",
+      "\n",
+      "Sbjct  2150  CTTGAGTGGGTATATCCAAAACCTCCAGAAGACTGGATTGCTGGAAGAAAAGGAAATGGT  2209\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2049  GCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGT  2108\n",
+      "\n",
+      "              ||||||||||||||||||||||||||||| ||||| ||||| |||||||||||  ||||\n",
+      "\n",
+      "Sbjct  2210  CCATTTAGATGATGCTTTGCAGACAGACTTGAAGAATTTGAAGAGGAATCCACCACTGGT  2269\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2109  GAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGC  2168\n",
+      "\n",
+      "             |||||||||||||||| |||| ||||||||||  ||||||||||| ||||| ||||||||\n",
+      "\n",
+      "Sbjct  2270  GAAAATGCCAAGAGTTAGTGAGCTTTTAAACAATCATCCTTTAGTTGGTGCGCTGCCTGC  2329\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2169  TGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGAT  2228\n",
+      "\n",
+      "             |||  | ||||||| ||||||||||||||||||||||||||||||||| || || |||| \n",
+      "\n",
+      "Sbjct  2330  TGTTTCGCGTGATCTTTTATTAAGTAATACAAAAGAAACTGTACGAGGACACGGCACGAA  2389\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2229  TCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAA  2288\n",
+      "\n",
+      "             |||||||| ||||||||||||||| |||||| ||||||||||||| || |||||||| ||\n",
+      "\n",
+      "Sbjct  2390  TCTTTATAGGGAAGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGTGTAGTAAA  2449\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2289  GTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAA  2348\n",
+      "\n",
+      "             |||| ||||||||||| |||||||||||||||| |||||||| || |||||||| |||||\n",
+      "\n",
+      "Sbjct  2450  GTGGACAAGTCAGAGATTAAGCAGCAGGCATTCTTTGGATCCGATCTTATCACATGGAAA  2509\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2349  CACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGA  2408\n",
+      "\n",
+      "             |||||||||| |||| |||||||||||||||||||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  2510  CACTTTGGGTCTATATGAGGTGCTGATTGGAAAGCCATATATTTGTGACATGATTACAGA  2569\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2409  TTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGA  2468\n",
+      "\n",
+      "             ||||||||| || ||||||||  | |||||||||||||| |||||| | ||||| || ||\n",
+      "\n",
+      "Sbjct  2570  TTCTGTGGTACACTGTTTCTTCATCGAAGCTGAAAAGATAGAGCAATTGCGTCAGTCAGA  2629\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2469  TCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACT  2528\n",
+      "\n",
+      "             ||| |||||||||||||||||||||||||||||| | || || |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  2630  TCCATCTATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTCATTGCCAGGCTTTTGCT  2689\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2529  TCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTC  2588\n",
+      "\n",
+      "              || |||||||||||||||||||||||||||||||||||||| || ||||||||||| ||\n",
+      "\n",
+      "Sbjct  2690  CCCACAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTTCTGATTGCTGAAAGATC  2749\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2589  GACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCAT  2648\n",
+      "\n",
+      "              ||||||||| ||| ||| |||||||||||||||||||| ||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  2750  TACTATGAACATATCCATCAAGGGTGAAGACATTGAACTCGAGCAGAATTACATTGGCAT  2809\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2649  TCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCT  2708\n",
+      "\n",
+      "             | |||||||||||||||||||||||||||  |||||||| ||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2810  TTTGCTGGAAGGATTTTTGAAGACCAAGAACCAAAATCTGATCACACCTCCAGGGGTGCT  2869\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2709  GCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGT  2768\n",
+      "\n",
+      "             ||| ||||| |||| | ||||   | |||||||||| || |||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  2870  GCTGCCATCAAATACCGACTTGAACTTATTTGGTCTCGAGTCTTCAGCTATGAACCATAT  2929\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2769  GGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTT  2828\n",
+      "\n",
+      "              |||||||| || ||||| ||||| |||||||| ||||| |||||  |||||||||||||\n",
+      "\n",
+      "Sbjct  2930  AGACTACTGTTACACTGCACCCAGCTATCAAGTAGAGGCTAGAGCGCGGATTATCTTCTT  2989\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2829  TGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC  2888\n",
+      "\n",
+      "             ||||||||| ||||| || |||  | || | ||  | ||||||| ||  || ||| || |\n",
+      "\n",
+      "Sbjct  2990  TGAAATAGGCAGGGTCTCGGAGACACAGCCCGATCTTCAGAGAACCGTGTCATTGCTGGC  3049\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2889  CCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCC  2948\n",
+      "\n",
+      "              || ||||||||||| || ||||| |||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  3050  TCAAACCCATGAACCACCACGGACCCTGAGCAAAGAGCATAGTGGCCTGCTCAGTTGGCC  3109\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2949  AGAAAGCTTCCGAAGATCCCGA---------------------GCTGAAATCAGAAGCCA  2987\n",
+      "\n",
+      "             |||||||||||| |  ||||||                     ||||| || |||| |||\n",
+      "\n",
+      "Sbjct  3110  AGAAAGCTTCCGGAAGTCCCGAGGGCCTCACAATGTCAGCTTTGCTGAGATGAGAAACCA  3169\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2988  CCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGA  3047\n",
+      "\n",
+      "              ||||||||||||||| | |||||||||||| ||||||||||||| ||||||||   |||\n",
+      "\n",
+      "Sbjct  3170  ACCGGGCAGCCTCTCTGCTAGAGCCCTGCAGTTGAGCATGTACGGCAGCATGATCAATGA  3229\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3048  CATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGC  3107\n",
+      "\n",
+      "             ||||||||| |||||||| || ||||||| | ||||    |||||||||||||| |||  \n",
+      "\n",
+      "Sbjct  3230  CATGCACTCGGGTCAGGGTCACAGGCGGCTGAGGCA---CCGCATGCAGGCAACGAACCA  3286\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3108  GAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCT  3167\n",
+      "\n",
+      "             || ||  ||||| ||||| ||||||||||| ||||| |   ||||| |||||||||||||\n",
+      "\n",
+      "Sbjct  3287  GAAGCGTAGCTCCTCCTACCCCAGAGTGCCGTCAAGGCCGTCCAACGCGCGGCCTCTGCT  3346\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3168  CTCCGTTCAGTCGGAGGGTTTCAACATGAACAGGTTGCCTGCTTCTCCTACA----CCGC  3223\n",
+      "\n",
+      "             |||||| ||||||||||| | ||||||||| ||  ||   ||  |||| | |    | | \n",
+      "\n",
+      "Sbjct  3347  CTCCGTGCAGTCGGAGGGCTCCAACATGAAGAGAATG---GCAACTCCAAAAGAAGCTGG  3403\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3224  C--TGCTCCAGCTCCGGTAAGATCTG------------------AGGGGATGGAAGACAA  3263\n",
+      "\n",
+      "             |   ||||| |||||||  |  || |                  ||| |||||||| |||\n",
+      "\n",
+      "Sbjct  3404  CGAGGCTCCTGCTCCGGCGACCTCCGCAGGCCAGCGGCGACGGAAGGCGATGGAAGCCAA  3463\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3264  CAACTCAAG---CGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAG  3320\n",
+      "\n",
+      "             |||||| ||   |||||||||||| ||||| |||||||| ||| || |||||||||| ||\n",
+      "\n",
+      "Sbjct  3464  CAACTCCAGCGACGACGAGTCTGCTGGGGAAGAAGTCATTGTCAGAATCGACTCCCCCAG  3523\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3321  CATGCTGTCTTTTCGTCAGTCCTCC  3345\n",
+      "\n",
+      "             |||||||||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  3524  CATGCTGTCTTTCCGCCAGCCCTCC  3548\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AB244218.1 Phragmites australis PhaNHA1-e mRNA for Na+/H+ antiporter, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3792\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 4236 bits (4697),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2967/3385 (88%), Gaps = 57/3385 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  12    TGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCG  71\n",
+      "\n",
+      "             ||| |||||||| |||||||||||||| | ||| || |||||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  201   TGACCCTGACGACGCGGTGCTCTTCGTAGGGGTGTCTCTGGTGCTGGGAATCGCCTCCCG  260\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  72    CCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGC  131\n",
+      "\n",
+      "             |||||| ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||\n",
+      "\n",
+      "Sbjct  261   CCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGC  320\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  132   CCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCG  191\n",
+      "\n",
+      "             |||||| |||||||||| |||||| |  |||||||| |||||||||||| | ||||||||\n",
+      "\n",
+      "Sbjct  321   CCTCGGTTCCCTCGAATACGGAACACAGCATGGTCTCGGCAAACTTGGATCCGGCATTCG  380\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  192   TATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTT  251\n",
+      "\n",
+      "             ||| |||||||||||||||||||||||||| |||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  381   TATCTGGGCTAACATAAACCCTGATCTTCTCTTGGCTGTTTTTCTACCTGCCCTCCTGTT  440\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  252   CGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCT  311\n",
+      "\n",
+      "             ||||||||||||||||||||| || |||||||| ||||||||||||||||| |||||| |\n",
+      "\n",
+      "Sbjct  441   CGAAAGCTCGTTTTCAATGGAAATACACCAAATAAAGAGATGTATGGCACAAATGGTGTT  500\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  312   GCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTAC  371\n",
+      "\n",
+      "              |||||||||||||||||| | ||||||||| ||||||||||||||  ||||||| | ||\n",
+      "\n",
+      "Sbjct  501   ACTTGCTGGACCAGGTGTCATAATATCAACATTTTTACTTGGCACTGCTGTAAAGCTCAC  560\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  372   TTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  431\n",
+      "\n",
+      "             |||||||||||||||||||||||||  |||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  561   TTTTCCATACAACTGGAGCTGGAAAACATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  620\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  432   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTAC  491\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  621   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAATAAGCTCAGTAC  680\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  492   AATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATT  551\n",
+      "\n",
+      "             |||||||||||||||||| |||||||||||||||||||||||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  681   AATAATTGAGGGTGAATCCCTAATGAACGATGGGACTGCTATTGTTGTCTATCAGTTATT  740\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  552   TTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGA  611\n",
+      "\n",
+      "              |   ||||||||||||||||||||||||||||||||||||| ||||||||||| |   |\n",
+      "\n",
+      "Sbjct  741   CTATAGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTTCTTGTCACA  800\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  612   AGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCT  671\n",
+      "\n",
+      "             |||| | ||||| ||||| ||| |||||||||| || |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  801   AGTTTCACTTGGAGCTGTCGCTCTGGGCCTTGCGTTTGGAATTGTTTCAGTACTGTGGCT  860\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  672   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATAT  731\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||| ||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  861   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCGCTTACTCTTGCCGTCAGCTATAT  920\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  732   AGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTT  791\n",
+      "\n",
+      "             |||||||||||||||||||||||| ||||| || ||||||||| || | || |||||| |\n",
+      "\n",
+      "Sbjct  921   AGCTTTCTTCACTGCCCAAGATTCACTGGAAGTCTCTGGTGTTCTGACCGTTATGACGCT  980\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  792   GGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTT  851\n",
+      "\n",
+      "             ||||||||| |||||||||||||||||||| ||||| |||||||| || ||| |||||||\n",
+      "\n",
+      "Sbjct  981   GGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAAAGTTT  1040\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  852   ACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGG  911\n",
+      "\n",
+      "             ||| ||||| |||||||||||||||||||| ||||| || ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1041  ACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTATATTGAGTGG  1100\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  912   GGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTC  971\n",
+      "\n",
+      "             ||| ||||||||||| ||||||||||| || ||||| |||||||| || |||||||||||\n",
+      "\n",
+      "Sbjct  1101  GGTTGTTATTGCAGACGGTGTTCTACAGAACAATGTCCATTTTGAGAGGCATGGCACTTC  1160\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  972   TTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGG  1031\n",
+      "\n",
+      "              ||||| |||||| ||||||| ||| ||||||| | |||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1161  GTGGGGCTTCCTTGTTCTGCTCTATGTCTTTGTGCAAATATCTCGAGTTGTAGTTGTTGG  1220\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1032  TGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAAT  1091\n",
+      "\n",
+      "             |||||||||||| |||||| ||| |||||||||||||||||||||||||||||||  |||\n",
+      "\n",
+      "Sbjct  1221  TGTTTTGTATCCGTTGTTGCGTCACTTTGGGTATGGTTTGGACTTGAAAGAGGCCGCAAT  1280\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1092  TCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACG  1151\n",
+      "\n",
+      "             |||||| |||||||||||| |||||||||||||||| |||||| | ||||||||||| ||\n",
+      "\n",
+      "Sbjct  1281  TCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTAGCGTTATCTGTTAAGCG  1340\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1152  TACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTT  1211\n",
+      "\n",
+      "             ||| || |||||||| ||| |||||||| |||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1341  TACCAGCGATGCAGTTCAACCTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTT  1400\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1212  CACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTT  1271\n",
+      "\n",
+      "             |||||||||||| |||||||||||| ||||| | |||||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1401  CACTGGTGGCATCGTGTTTCTGACACTGATTTTGAATGGTTCGACCACACAATTTTTGTT  1460\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1272  ACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAG  1331\n",
+      "\n",
+      "             |||||| |||||| |||||||||||||||| |||||| |||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1461  ACATATTCTTGGCCTGGACAAACTGTCAGCGACAAAGCTTCGCATATTGAAATATACAAG  1520\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1332  ACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCT  1391\n",
+      "\n",
+      "             | ||||||||||||||||||| |||||||||||||||||||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  1521  ATATGAAATGCTGAACAAAGCTTTAGAGGCTTTTGGTGAGCTTAGGGATGATGAGGAACT  1580\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1392  TGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGA  1451\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||| || || |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1581  TGGACCTGCTGATTGGGTTACTGTAAAGAAATACATCACTTGTTTGCATGACTTGGGTGA  1640\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1452  TGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCT  1508\n",
+      "\n",
+      "             ||| |||||||||||||||||  |   |||||| |||   |||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  1641  TGAGCCAGAGCATCCCCATGATGTTTCTGACAAAGATGATCGCATGCATACCATGAACTT  1700\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1509  AAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGA  1568\n",
+      "\n",
+      "             ||||||||||||||| |||||| |||||||||| |||||||| || ||||||||||||||\n",
+      "\n",
+      "Sbjct  1701  AAGGGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGA  1760\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1569  AGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTAT  1628\n",
+      "\n",
+      "             |||||||||||||| |||||| |||||||||||||| |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  1761  AGAGGGACGAATAAATCAAGCGACAGCAAATATTCTAATGAGATCAGTTGATGAAGCTAT  1820\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1629  GGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTT  1688\n",
+      "\n",
+      "             ||| ||| | ||||||||||| |||||||||||| |||||||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1821  GGATCTTGTTTCCAGACAACCATTATGTGATTGGAAGGGTTTACAGTCCAGTGTCCAGTT  1880\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1689  CCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTT  1748\n",
+      "\n",
+      "             ||||||||||||||| ||||| |||||||||| ||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1881  CCCGAATTACTATAGGTTCCTTCAGATGAGCAAGTTGCCACGAAAGCTTATCACATACTT  1940\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1749  CACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAG  1808\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||| | ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1941  CACAGTAGAAAGATTGGAGTCAGGATGTTACATGTGTGCTGCATTTCTTCGTGCTCACAG  2000\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1809  AACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTAT  1868\n",
+      "\n",
+      "             || ||||||||| || || |||||||||||||||||||||||||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2001  AATTGCAAGGCGTCAACTACATGATTTTCTTGGTGATAGTGAGGTTGCAAGAATTGTTAT  2060\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1869  TGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTAC  1928\n",
+      "\n",
+      "             |||||||||||| ||||||||||||||||||| |||||| ||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  2061  TGATGAAAGTAACGCTGAGGGGGAGGAAGCTAGAAAATTCCTGGAAGATGTTCGCATTAC  2120\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1929  GTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACA  1988\n",
+      "\n",
+      "              ||||||||||| ||||||||||||||| | ||||| |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2121  ATTCCCGCAGGTACTACGTGTGCTAAAGACGCGACAAGTCACATATTCAGTATTGACACA  2180\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1989  CCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGAT  2048\n",
+      "\n",
+      "             | |||||| |||||| ||||||||||||||||| || |||||||| |||||||||||| |\n",
+      "\n",
+      "Sbjct  2181  CTTGAGTGGGTATATCCAAAACCTCCAGAAGACTGGATTGCTGGAAGAAAAGGAAATGGT  2240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2049  GCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGT  2108\n",
+      "\n",
+      "              ||||||||||||||||||||||||||||| ||||| ||||| |||||||||||  ||||\n",
+      "\n",
+      "Sbjct  2241  CCATTTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTGAAGAGGAATCCACCACTGGT  2300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2109  GAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGC  2168\n",
+      "\n",
+      "             |||||||||||||||| |||| ||||||||||  ||||||||||| ||||| ||||||||\n",
+      "\n",
+      "Sbjct  2301  GAAAATGCCAAGAGTTAGTGAGCTTTTAAACAATCATCCTTTAGTTGGTGCGCTGCCTGC  2360\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2169  TGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGAT  2228\n",
+      "\n",
+      "             |||  | ||||||| ||||||||||||||||||||||||||||||||| || || |||| \n",
+      "\n",
+      "Sbjct  2361  TGTTTCGCGTGATCTTTTATTAAGTAATACAAAAGAAACTGTACGAGGACACGGCACGAA  2420\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2229  TCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAA  2288\n",
+      "\n",
+      "             |||||||| ||| ||||||||||| |||||| ||||||||||||| || |||||||| ||\n",
+      "\n",
+      "Sbjct  2421  TCTTTATAGGGAGGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGTGTAGTAAA  2480\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2289  GTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAA  2348\n",
+      "\n",
+      "             |||| ||||||||||| |||||||||||||||| |||||||| || |||||||| |||||\n",
+      "\n",
+      "Sbjct  2481  GTGGACAAGTCAGAGATTAAGCAGCAGGCATTCTTTGGATCCGATCTTATCACATGGAAA  2540\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2349  CACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGA  2408\n",
+      "\n",
+      "             |||||||||| |||| |||||||||||||||||||||||||||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  2541  CACTTTGGGTCTATATGAGGTGCTGATTGGAAAGCCATATATTTGTGACATGATTACAGA  2600\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2409  TTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGA  2468\n",
+      "\n",
+      "             ||||||||| || ||||||||  | |||||||||||||| |||||| | ||||| || ||\n",
+      "\n",
+      "Sbjct  2601  TTCTGTGGTACACTGTTTCTTCATCGAAGCTGAAAAGATAGAGCAATTGCGTCAGTCAGA  2660\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2469  TCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACT  2528\n",
+      "\n",
+      "             ||| || ||||||||||||||||||||||||||| | || || |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  2661  TCCATCGATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTCATTGCCAGGCTTTTGCT  2720\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2529  TCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTC  2588\n",
+      "\n",
+      "              || |||||||||||||||||||||||||||||||||||||| || ||||||||||| ||\n",
+      "\n",
+      "Sbjct  2721  CCCACAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTTCTGATTGCTGAAAGATC  2780\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2589  GACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCAT  2648\n",
+      "\n",
+      "              ||||||||| ||||||| ||||| |||||||||||||| ||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  2781  TACTATGAACATATACATCAAGGGGGAAGACATTGAACTCGAGCAGAATTACATTGGCAT  2840\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2649  TCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCT  2708\n",
+      "\n",
+      "             | |||||||||||||||||||||||||||  |||||||| ||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2841  TTTGCTGGAAGGATTTTTGAAGACCAAGAACCAAAATCTGATCACACCTCCAGGGGTGCT  2900\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2709  GCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGT  2768\n",
+      "\n",
+      "             ||| ||||| |||| | ||||   | |||||||||| || |||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  2901  GCTGCCATCAAATACCGACTTGAACTTATTTGGTCTCGAGTCTTCAGCTATGAACCATAT  2960\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2769  GGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTT  2828\n",
+      "\n",
+      "              |||||||| || ||||| ||||| |||||||| ||||| |||||  |||||||||||||\n",
+      "\n",
+      "Sbjct  2961  AGACTACTGTTACACTGCACCCAGCTATCAAGTAGAGGCTAGAGCGCGGATTATCTTCTT  3020\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2829  TGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC  2888\n",
+      "\n",
+      "             ||||||||| ||||| |  |||  | || | ||  | ||||||| ||  || ||| || |\n",
+      "\n",
+      "Sbjct  3021  TGAAATAGGCAGGGTCTGGGAGACACAGCCCGATCTTCAGAGAACCGTGTCATTGCTGGC  3080\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2889  CCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCC  2948\n",
+      "\n",
+      "              || ||||||||||| || ||||| |||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  3081  TCAAACCCATGAACCACCACGGACCCTGAGCAAAGAGCATAGTGGCCTGCTCAGTTGGCC  3140\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2949  AGAAAGCTTCCGAAGATCCCGA---------------------GCTGAAATCAGAAGCCA  2987\n",
+      "\n",
+      "             |||||||||||| |  ||||||                     ||||| || |||| |||\n",
+      "\n",
+      "Sbjct  3141  AGAAAGCTTCCGGAAGTCCCGAGGGCCTCACAATGTCAGCTTTGCTGAGATGAGAAACCA  3200\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2988  CCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGA  3047\n",
+      "\n",
+      "              ||||||||||||||| | |||||||||||| ||||||||||||| ||||||||   |||\n",
+      "\n",
+      "Sbjct  3201  ACCGGGCAGCCTCTCTGCTAGAGCCCTGCAGTTGAGCATGTACGGCAGCATGATCAATGA  3260\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3048  CATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGC  3107\n",
+      "\n",
+      "             ||||||||| |||||||| |||||||||||| ||||    |||||||||||||| |||  \n",
+      "\n",
+      "Sbjct  3261  CATGCACTCGGGTCAGGGTCAGAGGCGGCAGAGGCA---CCGCATGCAGGCAACGAACCA  3317\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3108  GAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCT  3167\n",
+      "\n",
+      "             || ||| ||||| ||||| ||||||||||| ||||| |   ||||| |||||||||||||\n",
+      "\n",
+      "Sbjct  3318  GAAGCATAGCTCCTCCTACCCCAGAGTGCCGTCAAGGCCGTCCAACGCGCGGCCTCTGCT  3377\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3168  CTCCGTTCAGTCGGAGGGTTTCAACATGAACAGGTTGCCTGCTTCTCCTACA----CCGC  3223\n",
+      "\n",
+      "             |||||| ||||||||||||| ||||||||| ||  ||   ||  |||| | |    | | \n",
+      "\n",
+      "Sbjct  3378  CTCCGTGCAGTCGGAGGGTTCCAACATGAAGAGAATG---GCAGCTCCAAAAGAAGCTGG  3434\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3224  C--TGCTCCAGCTCCGGTAAGATCTG------------------AGGGGATGGAAGACAA  3263\n",
+      "\n",
+      "             |   ||||| |||||||  |  || |                  ||| |||||||| |||\n",
+      "\n",
+      "Sbjct  3435  CGAGGCTCCTGCTCCGGCGACCTCCGCAGGCCAGCGGCGACGGAAGGCGATGGAAGCCAA  3494\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3264  CAACTCAAG---CGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAG  3320\n",
+      "\n",
+      "             |||||  ||   ||||||||| || ||||| |||||||| ||| ||||||||||||| ||\n",
+      "\n",
+      "Sbjct  3495  CAACTTCAGCGACGACGAGTCCGCGGGGGAAGAAGTCATTGTCAGAGTCGACTCCCCCAG  3554\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3321  CATGCTGTCTTTTCGTCAGTCCTCC  3345\n",
+      "\n",
+      "             |||||||||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  3555  CATGCTGTCTTTCCGCCAGCCCTCC  3579\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_025952265.1 PREDICTED: Panicum hallii sodium/hydrogen exchanger 8 (LOC112886373), \n",
+      "\n",
+      "mRNA\n",
+      "\n",
+      "Length=3727\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3852 bits (4271),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2901/3416 (85%), Gaps = 64/3416 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1     ATGGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGA  60\n",
+      "\n",
+      "             |||||||||||||| |||||||| |||||||||||||| | ||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  110   ATGGGTGAGCCTGAGCCTGACGACGCGGTGCTCTTCGTCGGGGTGTCGCTGGTGCTGGGC  169\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  61    ATCGCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATC  120\n",
+      "\n",
+      "             |||||||| |||||||| ||||| ||||||||||||||||||||||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  170   ATCGCCTCCCGCCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTTCTCGTC  229\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  121   CTCGGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGA  180\n",
+      "\n",
+      "             |||||||| || ||||||||||| |||| |||||| | |||||| || ||||||||||||\n",
+      "\n",
+      "Sbjct  230   CTCGGCGTCGCGCTCGGCTCCCTTGAATACGGAACACAACATGGCCTAGGCAAACTTGGA  289\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  181   GCTGGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCT  240\n",
+      "\n",
+      "             ||||| ||||| || ||||| ||||||||||||||||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  290   GCTGGAATTCGCATCTGGGCCAACATAAACCCTGATCTTCTGCTGGCTGTTTTTCTACCT  349\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  241   GCCCTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCA  300\n",
+      "\n",
+      "             |||||| |||| |||||||| || || ||||| || |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  350   GCCCTCCTGTTTGAAAGCTCCTTCTCCATGGAAATACACCAAATAAAGAGATGTATGGCA  409\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  301   CAGATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTT  360\n",
+      "\n",
+      "             || |||||| | ||||||||||| ||||| ||  |||||||  ||||||||||| ||  |\n",
+      "\n",
+      "Sbjct  410   CAAATGGTGTTACTTGCTGGACCGGGTGTTGTACTATCAACTTTTTTACTTGGCTCTGCT  469\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  361   GTAAAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTT  420\n",
+      "\n",
+      "             |||||| | |||||||| ||| ||||||||||||||  ||||||||| ||||||||||| \n",
+      "\n",
+      "Sbjct  470   GTAAAGCTCACTTTTCCTTACGACTGGAGCTGGAAAACATCATTGTTACTTGGTGGACTG  529\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  421   CTTAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAA  480\n",
+      "\n",
+      "             |||||||||||||| |||||||||||||||||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  530   CTTAGTGCAACTGACCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCGAGTAAA  589\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  481   AAGCTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTC  540\n",
+      "\n",
+      "             ||||| |||||||| ||||||||||||||  ||||||| || ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  590   AAGCTTAGTACAATCATTGAGGGTGAATCCTTAATGAATGACGGGACCGCTATTGTTGTC  649\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  541   TATCAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAG  600\n",
+      "\n",
+      "             ||||| ||||| |  ||||||||||| |||||||| ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  650   TATCAGCTATTCTATCGAATGGTGCTTGGAAGAACGTTTGATGCTGGCTCAATAATAAAG  709\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  601   TTCTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCA  660\n",
+      "\n",
+      "             ||||| |  |||||| ||||||| ||||||||| ||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  710   TTCTTGTCAGAAGTTTCGCTTGGAGCTGTTGCTCTGGGCCTTGCATTCGGAATCGTATCA  769\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  661   GTACTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCT  720\n",
+      "\n",
+      "             |||||||||||||| ||||| |||||||||||||||||||||||| | || |||||||||\n",
+      "\n",
+      "Sbjct  770   GTACTGTGGCTGGGATTTATATTTAATGATACAATCATAGAGATTTCGCTCACTCTTGCT  829\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  721   GTCAGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCT  780\n",
+      "\n",
+      "             |||||||||||||||||||||||||| |||||||| |||||||| |||||||||||| | \n",
+      "\n",
+      "Sbjct  830   GTCAGCTATATAGCTTTCTTCACTGCACAAGATTCACTGGAGGTCTCTGGTGTTTTGACA  889\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  781   GTCATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGC  840\n",
+      "\n",
+      "             ||||||||  |||||||||| |||||||||||||||||||| ||||| |||||||| || \n",
+      "\n",
+      "Sbjct  890   GTCATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGAAAGT  949\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  841   CAGGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTT  900\n",
+      "\n",
+      "             ||| |||||||||| ||||| |||||||||||||||||||| ||||| || |||||||||\n",
+      "\n",
+      "Sbjct  950   CAGCAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTT  1009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  901   ATATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGA  960\n",
+      "\n",
+      "             ||| |||||||||| |||||||||||||||||||||||||||||||| |||||||| || \n",
+      "\n",
+      "Sbjct  1010  ATACTGAGTGGGGTTGTTATTGCAGATGGTGTTCTACAAAATAATGTCCATTTTGAGAGG  1069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  961   CATGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTT  1020\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||||||| | |||||| ||| ||\n",
+      "\n",
+      "Sbjct  1070  CATGGCACTTCGTGGGGCTTCCTTCTTCTGCTTTATGTCTTTGTGCAAATATCTCGACTT  1129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1021  GTAGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAA  1080\n",
+      "\n",
+      "              |||||||| |||||||||| |||||||||||||  ||||||||||| |||||||| |||\n",
+      "\n",
+      "Sbjct  1130  ATAGTTGTTAGTGTTTTGTACCCATTGTTGTGTCAATTTGGGTATGGGTTGGACTTCAAA  1189\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1081  GAGGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTA  1140\n",
+      "\n",
+      "             |||||||| |||||||| |||||||||||| |||||||||||||||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  1190  GAGGCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCACTA  1249\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1141  TCTGTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATG  1200\n",
+      "\n",
+      "             |||||||| || || || |||||||| |||  ||||||  |||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1250  TCTGTTAAGCGCACCAGCGATGCAGTTCAACATTATCTTAAACCGGAAGTTGGAACAATG  1309\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1201  TTTGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACA  1260\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||| ||||||||||| | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1310  TTTGTGTTCTTCACTGGTGGCATTGTGTTTTTGACATTGATTTTTAATGGTTCAACCACA  1369\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1261  CAATTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTG  1320\n",
+      "\n",
+      "             |||||||| |||||||| || ||||||||||||||||||||||||||| ||||  |||||\n",
+      "\n",
+      "Sbjct  1370  CAATTTTTGTTACATATCCTCGGCATGGACAAACTGTCAGCAACAAAGCTTCGCGTATTG  1429\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1321  AAATATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGAT  1380\n",
+      "\n",
+      "             |||||||||||| |||||||||| ||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1430  AAATATACAAGATATGAAATGCTAAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGAT  1489\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1381  GATGAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCAT  1440\n",
+      "\n",
+      "             || || || |||||||||||||| |||| ||||||||||||| |||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  1490  GACGAGGAACTTGGACCTGCTGACTGGGCTACTGTAAAGAAACATATCACATGTTTGAAT  1549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1441  GACTTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCAT  1497\n",
+      "\n",
+      "             |||||||| ||||| |||||||||||||||||  |   |||||| |||  ||   |||||\n",
+      "\n",
+      "Sbjct  1550  GACTTGGACGATGATCCAGAGCATCCCCATGATGTTGATGACAAAGATGACCATGTGCAT  1609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1498  ACCATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGG  1557\n",
+      "\n",
+      "             ||||||||| |||| ||||| ||||| |||||| | |||||||| ||||| || || |||\n",
+      "\n",
+      "Sbjct  1610  ACCATGAACATAAGAGATATTCGAGTGCGGCTTTTAAATGGTGTGCAAGCCGCTTACTGG  1669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1558  GGAATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTT  1617\n",
+      "\n",
+      "             |  |||||||||||||||||||||| |||||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1670  GCTATGCTTGAAGAGGGACGAATAAATCAAGCTACAGCAAATATTCTGATGAGATCAGTT  1729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1618  GATGAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCC  1677\n",
+      "\n",
+      "             |||||||||||||| ||| | || |||||||| |||||||||||| | |||||| |||||\n",
+      "\n",
+      "Sbjct  1730  GATGAAGCTATGGATCTTGTTTCTAGACAACCATTATGTGATTGGAAAGGTTTAAAATCC  1789\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1678  AATGTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTC  1737\n",
+      "\n",
+      "             |||||||||||||||| ||||||||| ||||| |||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1790  AATGTCCAGTTCCCGAGTTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAAGCTT  1849\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1738  ATCACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTT  1797\n",
+      "\n",
+      "              |||||||||||||||| |||||||||||||||||||||||||| | |||||||||||||\n",
+      "\n",
+      "Sbjct  1850  GTCACATACTTCACAGTCGAAAGATTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTT  1909\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1798  CGTGCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTA  1857\n",
+      "\n",
+      "             ||||||||||||| ||||||||| ||||| ||||||||||| |||||||||||||||| |\n",
+      "\n",
+      "Sbjct  1910  CGTGCTCACAGAATTGCAAGGCGGCAGCTTCATGATTTTCTCGGTGATAGTGAGGTTGCA  1969\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1858  AGAACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGAT  1917\n",
+      "\n",
+      "             |||| ||||||||| ||||||||||||||||| |||||||||| ||||||  ||||||||\n",
+      "\n",
+      "Sbjct  1970  AGAATTGTTATTGACGAAAGTAATGCTGAGGGAGAGGAAGCTAGAAAATTCTTGGAAGAT  2029\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1918  GTTCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCA  1977\n",
+      "\n",
+      "             ||||| || || ||||||||||||||||||||||||||| | ||||| ||||||||||| \n",
+      "\n",
+      "Sbjct  2030  GTTCGAGTCACATTCCCGCAGGTGCTACGTGTGCTAAAGACGCGACAAGTCACATATTCT  2089\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1978  GTATTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAA  2037\n",
+      "\n",
+      "             |||||||||||| |||| |||||||||||||||||||||||||| ||||| ||||| || \n",
+      "\n",
+      "Sbjct  2090  GTATTGACACACTTGAGCGAGTATATTCAAAACCTCCAGAAGACTGGGTTACTGGAAGAG  2149\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2038  AAGGAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAAT  2097\n",
+      "\n",
+      "             ||||||||| | |||||||| |||||||| ||||||||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2150  AAGGAAATGGTCCATTTAGACGATGCTTTACAGACAGACTTGAAGAAGTTGAAGAGGAAT  2209\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2098  CCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGT  2157\n",
+      "\n",
+      "             |||||  | |||||||||||||||||| |||||||| ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  2210  CCACCACTAGTGAAAATGCCAAGAGTTAGTGATCTTCTAAACACTCATCCTTTAGTTGGC  2269\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2158  GCACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGG  2217\n",
+      "\n",
+      "             || ||||||||||   |||||||||||||  |||| |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  2270  GCGCTGCCTGCTGCTGCACGTGATCCTTTGCTAAGCAATACAAAGGAAACTGTACGAGGG  2329\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2218  CATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATA  2277\n",
+      "\n",
+      "             ||||| || || || |||  ||||||||||||||| |||||| |||||||| | || || \n",
+      "\n",
+      "Sbjct  2330  CATGGCACCATCCTATATCGGGAAGGCTCAAGGCCAACTGGTATATGGCTTATATCTATT  2389\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2278  GGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTA  2337\n",
+      "\n",
+      "             |||||||| |||||| ||||||| ||| ||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2390  GGTGTAGTAAAGTGGACAAGTCAAAGATTAAGCAGAAGGCATTCCTTGGATCCAATTTTA  2449\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2338  TCACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGAT  2397\n",
+      "\n",
+      "             ||||| |||| |||||||||| | || ||||||||||| |||||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  2450  TCACATGGAAGCACTTTGGGTCTGTATGAGGTGCTGATCGGAAAGCCCTATATCTGTGAC  2509\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2398  ATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTT  2457\n",
+      "\n",
+      "             ||||| |||||||| || || || ||||||||  | |||||||||||||| ||  | || \n",
+      "\n",
+      "Sbjct  2510  ATGATCACAGATTCCGTTGTACACTGTTTCTTCATCGAAGCTGAAAAGATAGATGAGCTG  2569\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "             ||||| || |||||||| ||||||||||||||||||||||||||| | || || ||||| \n",
+      "\n",
+      "Sbjct  2570  CGTCATTCAGATCCTTCCATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTCATTGCT  2629\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATT  2577\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||||||||||||||||||||||||||| ||| ||\n",
+      "\n",
+      "Sbjct  2630  AGGCTTTTGCTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTTCTCGTT  2689\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2578  GCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGT  2637\n",
+      "\n",
+      "             |||||||||||||| |||||| ||||||| ||||| |||||||| ||||| ||| | | |\n",
+      "\n",
+      "Sbjct  2690  GCTGAAAGGTCGACGATGAACATATACATCAAGGGGGAAGACATCGAACTTGAGCAGAAT  2749\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2638  TACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCT  2697\n",
+      "\n",
+      "             |||||||||||| |||| |||||||| |||||||||| ||  || ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2750  TACATTGGCATTTTGCTTGAAGGATTCTTGAAGACCAGGAACCAGAATCTGATCACGCCT  2809\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2698  CCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCT  2757\n",
+      "\n",
+      "             |||||||| || || ||||| |||    ||||   | |||| || ||||| || ||||| \n",
+      "\n",
+      "Sbjct  2810  CCAGCGGTACTTCTGCCATCAAATGCTGACTTGAGCTTATTCGGACTTGAGTCCTCAGCC  2869\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2758  ATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGG  2817\n",
+      "\n",
+      "              |||||| ||| ||||||||  ||||||| ||||| || ||||||||||| |||||  ||\n",
+      "\n",
+      "Sbjct  2870  GTGAACCTTGTAGACTACTGTCATACTGCACCCAGCTACCAAGTGGAGGCTAGAGCGCGG  2929\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2818  ATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCA  2877\n",
+      "\n",
+      "             || ||||||||||| || || ||||  ||||||| |||||||||  | ||| ||| ||| \n",
+      "\n",
+      "Sbjct  2930  ATCATCTTCTTTGATATGGGCAGGGCCTCCGAGGCAGAGGCTGATCTTCAGCGAACCGCG  2989\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2878  TCTTTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTG  2937\n",
+      "\n",
+      "             ||  || |||| ||   |||||| |  || |||||| ||||||| ||||| || ||  ||\n",
+      "\n",
+      "Sbjct  2990  TCGCTGCTGTCTCACGGCCATGAGCTGCCACGGACAATGAGCAAGGAGCACAGCGGCTTG  3049\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2938  CTCAGTTGGCCAGAAAGCTTCCGAAGATCCCG----------------AGC-----TGAA  2976\n",
+      "\n",
+      "             ||| ||||||| || |||||||| || |||||                |||     ||| \n",
+      "\n",
+      "Sbjct  3050  CTCCGTTGGCCGGAGAGCTTCCGGAGGTCCCGGGGGGGCCACAGTGCCAGCCTAAGTGAG  3109\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2977  ATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGC  3036\n",
+      "\n",
+      "             ||||||| ||| |||| |||| ||||| | || ||| |||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3110  ATCAGAAACCAGCCGGACAGCTTCTCTGCCAGGGCCTTGCAACTGAGCATGTACGGCAGC  3169\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3037  ATGATGGTTGACATGCACTCAGG----TCAGGGCCAGAGGCGGCAGCGGCATCGTCGCAT  3092\n",
+      "\n",
+      "             ||| | |    | | |   ||||     ||||| ||  |||| ||  |||  ||| ||||\n",
+      "\n",
+      "Sbjct  3170  ATGGT-GAGCCCCTCCGGCCAGGGTGCCCAGGGTCACCGGCGTCATAGGCCCCGTGGCAT  3228\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3093  GCAGGCAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAA  3152\n",
+      "\n",
+      "             || ||   | |||  |||||||||||| ||||| ||  | ||||| || || | ||||||\n",
+      "\n",
+      "Sbjct  3229  GCCGGTTGCGAACAAGAGGCACAGCTCTTCCTACCCTCGGGTGCCATCGAGGCCAGCCAA  3288\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3153  CACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAACAGGTTGCCTGCTTC  3212\n",
+      "\n",
+      "             ||| ||||||||||||||||| |||||||||||||  ||||||||  |  || | ||| |\n",
+      "\n",
+      "Sbjct  3289  CACCCGGCCTCTGCTCTCCGTGCAGTCGGAGGGTTCAAACATGAAACGAATGGCGGCTCC  3348\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3213  ---------------TCCTA-CACCGCCTGCTCCAGCTCCGGTA--------AGATCTG-  3247\n",
+      "\n",
+      "                              ||| |||| || ||||| ||||||| |        ||| | | \n",
+      "\n",
+      "Sbjct  3349  GAAAGACGCTGGCGAGGCTACCACCACC-GCTCCTGCTCCGGCAACCTCCACAGACCAGC  3407\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3248  ---------AGGGGATGGAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCA  3298\n",
+      "\n",
+      "                      ||| |||| ||||  ||||||||||||| || ||||| ||||| |||||||\n",
+      "\n",
+      "Sbjct  3408  AGCAACAGAAGGTGATGCAAGATGACAACTCAAGCGATGACTCTGCCGGGGAAGAAGTCA  3467\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3299  TCGTCCGAGTCGACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGCGCGGTT  3354\n",
+      "\n",
+      "             ||||| |||||||||| || |||||||| ||||||||||| ||| |||  | ||||\n",
+      "\n",
+      "Sbjct  3468  TCGTCAGAGTCGACTCTCCCAGCATGCTATCTTTTCGTCAATCCACCGCTGGGGTT  3523\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_004963297.4 PREDICTED: Setaria italica sodium/hydrogen exchanger 8 (LOC101764447), \n",
+      "\n",
+      "mRNA\n",
+      "\n",
+      "Length=3828\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3734 bits (4140),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2892/3456 (84%), Gaps = 108/3456 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1     ATGGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGA  60\n",
+      "\n",
+      "             |||||||||||||| || ||||| || ||||||||||| | ||| ||||| |||||||| \n",
+      "\n",
+      "Sbjct  129   ATGGGTGAGCCTGAGCCCGACGACGCCGTGCTCTTCGTCGGGGTGTCGCTCGTGCTGGGC  188\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  61    ATCGCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATC  120\n",
+      "\n",
+      "             |||||||| |||||||| ||||| ||||||||||||||||||||||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  189   ATCGCCTCCCGCCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTTCTCGTC  248\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  121   CTCGGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGA  180\n",
+      "\n",
+      "             |||||||| || |||||||||||||| | |||||| |  |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  249   CTCGGCGTCGCGCTCGGCTCCCTCGAGTACGGAACACACCATGGTCTAGGCAAACTTGGA  308\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  181   GCTGGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCT  240\n",
+      "\n",
+      "             ||||| |||||||| ||||| |||||||||||||| |||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  309   GCTGGAATTCGTATCTGGGCCAACATAAACCCTGACCTTCTGCTGGCTGTTTTTCTACCT  368\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  241   GCCCTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCA  300\n",
+      "\n",
+      "             || ||| | || |||||||| || || ||||| || |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  369   GCACTCCTCTTTGAAAGCTCCTTCTCCATGGAAATACACCAAATAAAGAGATGTATGGCA  428\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  301   CAGATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTT  360\n",
+      "\n",
+      "             || |||||| | ||||||||||| || ||  | ||||||||| ||||||||||| ||  |\n",
+      "\n",
+      "Sbjct  429   CAAATGGTGTTACTTGCTGGACCCGGCGTTCTAATATCAACATTTTTACTTGGCGCTGCT  488\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  361   GTAAAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTT  420\n",
+      "\n",
+      "             |||||| | |||||||| |||||||||||||||||| |||||||||| ||||||||||| \n",
+      "\n",
+      "Sbjct  489   GTAAAGCTCACTTTTCCTTACAACTGGAGCTGGAAAATATCATTGTTACTTGGTGGACTG  548\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  421   CTTAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAA  480\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  549   CTTAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAA  608\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  481   AAGCTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTC  540\n",
+      "\n",
+      "             |||||||||||||| ||||||||||||||  ||||||| |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  609   AAGCTCAGTACAATCATTGAGGGTGAATCCTTAATGAATGATGGGACTGCTATTGTTGTC  668\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  541   TATCAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAG  600\n",
+      "\n",
+      "             ||||| || || |  ||||||||||| ||||||||||||||||||||| |||| ||||||\n",
+      "\n",
+      "Sbjct  669   TATCAGCTGTTCTATCGAATGGTGCTTGGAAGAACCTTTGATGCTGGCGCAATAATAAAG  728\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  601   TTCTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCA  660\n",
+      "\n",
+      "             ||| | |  |||||| | ||||| ||||||||| ||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  729   TTCCTGTCAGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTCGGAATCGTATCA  788\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  661   GTACTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCT  720\n",
+      "\n",
+      "             ||||||||| |||| |||||||||||||||||||||||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  789   GTACTGTGGTTGGGATTTATTTTTAATGATACAATCATAGAGATTGCGCTTACTCTTGCT  848\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  721   GTCAGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCT  780\n",
+      "\n",
+      "             |||||||||||||||||||||||||| |||||||| |||||||| |||||||||||| ||\n",
+      "\n",
+      "Sbjct  849   GTCAGCTATATAGCTTTCTTCACTGCACAAGATTCACTGGAGGTCTCTGGTGTTTTGACT  908\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  781   GTCATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGC  840\n",
+      "\n",
+      "             ||||||||  |||||||||| |||||||||||||||||||| ||||| ||||| || || \n",
+      "\n",
+      "Sbjct  909   GTCATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGCGAAAGT  968\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  841   CAGGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTT  900\n",
+      "\n",
+      "             ||| |||||||||| ||||| |||||||||||||||||||| ||||| || |||||||||\n",
+      "\n",
+      "Sbjct  969   CAGCAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTT  1028\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  901   ATATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGA  960\n",
+      "\n",
+      "             ||| |||||||||| |||||||||||||||||||||||||||||||| |||||||| |  \n",
+      "\n",
+      "Sbjct  1029  ATACTGAGTGGGGTTGTTATTGCAGATGGTGTTCTACAAAATAATGTCCATTTTGAGACG  1088\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  961   CATGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTT  1020\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||| ||| ||||||| | |||||||||| ||\n",
+      "\n",
+      "Sbjct  1089  CATGGCACTTCGTGGGGCTTCCTTCTTCTGCTCTATGTCTTTGTGCAAATATCCCGACTT  1148\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1021  GTAGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAA  1080\n",
+      "\n",
+      "              |||||||| ||| |||||| ||||||||| ||| |||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1149  ATAGTTGTTAGTGCTTTGTACCCATTGTTGCGTCACTTTGGGTATGGGTTGGACTTGAAA  1208\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1081  GAGGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTA  1140\n",
+      "\n",
+      "             |||||||| |||||||| |||||||||||| |||| ||||||||||| |||||||| |||\n",
+      "\n",
+      "Sbjct  1209  GAGGCCATGATTCTTGTTTGGTCAGGGCTGCGAGGAGCTGTTGCTCTGTCACTATCGTTA  1268\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1141  TCTGTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATG  1200\n",
+      "\n",
+      "             |||||||| ||||| ||||||||||| ||| ||||| |  |||| ||||||||||  |||\n",
+      "\n",
+      "Sbjct  1269  TCTGTTAAGCGTACCAGTGATGCAGTTCAACCTTATATTAAACCGGAAGTTGGAATGATG  1328\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1201  TTTGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACA  1260\n",
+      "\n",
+      "             ||||||||||||||||||||||| |||||||| ||||||||| | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1329  TTTGTGTTCTTCACTGGTGGCATCGTGTTTCTAACATTGATTTTTAATGGTTCAACCACA  1388\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1261  CAATTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTG  1320\n",
+      "\n",
+      "             |||||||| |||| ||||||||||||||||||||||||||| |||||| ||||  |||||\n",
+      "\n",
+      "Sbjct  1389  CAATTTTTGTTACGTATGCTTGGCATGGACAAACTGTCAGCCACAAAGCTTCGCGTATTG  1448\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1321  AAATATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGAT  1380\n",
+      "\n",
+      "             || ||||||||| |||||||||| ||||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1449  AAGTATACAAGATATGAAATGCTAAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGAA  1508\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1381  GATGAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCAT  1440\n",
+      "\n",
+      "             ||||| || || ||||||||||| |||| ||||||||||||| |||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  1509  GATGAGGAACTAGGACCTGCTGACTGGGCTACTGTAAAGAAACATATCACATGTTTGAAT  1568\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1441  GACTTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCAT  1497\n",
+      "\n",
+      "             |||||||| ||||| |||||||||||||||||  |   |||||| |||  || |||||||\n",
+      "\n",
+      "Sbjct  1569  GACTTGGACGATGATCCAGAGCATCCCCATGATGTTGGTGACAAAGATGACCACATGCAT  1628\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1498  ACCATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGG  1557\n",
+      "\n",
+      "             ||||||||  |||| ||||| ||||   ||||| |||||||||| ||||| || || |||\n",
+      "\n",
+      "Sbjct  1629  ACCATGAATTTAAGAGATATTCGAGAGAGGCTTTTGAATGGTGTGCAAGCCGCTTACTGG  1688\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1558  GGAATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTT  1617\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||| |||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1689  GGAATGCTTGAAGAGGGACGAATAACTCAAGCTACGGCAAATATTCTGATGAGATCGGTT  1748\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1618  GATGAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCC  1677\n",
+      "\n",
+      "             |||||||||||||| ||| | ||||||||||| |||||||||||| | |||||| | |||\n",
+      "\n",
+      "Sbjct  1749  GATGAAGCTATGGATCTTGTTTCCAGACAACCATTATGTGATTGGAAAGGTTTAAAGTCC  1808\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1678  AATGTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTC  1737\n",
+      "\n",
+      "             |||||||||||||||||||||||||| ||||| |||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1809  AATGTCCAGTTCCCGAATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAAGCTT  1868\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1738  ATCACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTT  1797\n",
+      "\n",
+      "              |||||||||||||||| |||||||||||||||||||||||||| | |||||||||||||\n",
+      "\n",
+      "Sbjct  1869  GTCACATACTTCACAGTTGAAAGATTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTT  1928\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1798  CGTGCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTA  1857\n",
+      "\n",
+      "             ||||||||||||| ||||||||| ||| | |||||||||||||||||||||||||||| |\n",
+      "\n",
+      "Sbjct  1929  CGTGCTCACAGAATTGCAAGGCGGCAGTTACATGATTTTCTTGGTGATAGTGAGGTTGCA  1988\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1858  AGAACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGAT  1917\n",
+      "\n",
+      "             |||| ||||||||||||||||||||||||||| |||||||||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  1989  AGAATTGTTATTGATGAAAGTAATGCTGAGGGAGAGGAAGCTAAAAAATTCTTGGAAGAT  2048\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1918  GTTCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCA  1977\n",
+      "\n",
+      "             ||||| ||||| || || |||||||| |||||||||||| | || || ||||||||||| \n",
+      "\n",
+      "Sbjct  2049  GTTCGAGTTACATTTCCACAGGTGCTGCGTGTGCTAAAGACACGGCAAGTCACATATTCC  2108\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1978  GTATTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAA  2037\n",
+      "\n",
+      "             |||||||||||| ||||||||||||||||||||||||||||||  ||||||||||| || \n",
+      "\n",
+      "Sbjct  2109  GTATTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGATTGGGTTGCTGGAAGAG  2168\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2038  AAGGAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAAT  2097\n",
+      "\n",
+      "             ||||||||| | ||||||||||||||||||||||| ||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2169  AAGGAAATGGTCCATTTAGATGATGCTTTGCAGACGGACTTGAAGAAGTTGAAGAGGAAT  2228\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2098  CCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGT  2157\n",
+      "\n",
+      "             |||||| | |||||||||||||||||| |||| ||| ||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  2229  CCACCGCTAGTGAAAATGCCAAGAGTTAGTGAGCTTCTAAACACTCATCCTTTGGTAGGC  2288\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2158  GCACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGG  2217\n",
+      "\n",
+      "             |||||||| ||||   |||||||||||||  |||| |||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  2289  GCACTGCCGGCTGCTGCACGTGATCCTTTGCTAAGCAATACAAAGGAAACTGTACGAGGA  2348\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2218  CATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATA  2277\n",
+      "\n",
+      "             ||||| ||  | || ||   ||||||||||||||| |||||| ||||||||||||| || \n",
+      "\n",
+      "Sbjct  2349  CATGGCACAGTCCTATACCGGGAAGGCTCAAGGCCAACTGGTATATGGCTTGTTTCTATT  2408\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2278  GGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTA  2337\n",
+      "\n",
+      "             |||||||| |||||| ||||||| ||| ||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2409  GGTGTAGTAAAGTGGACAAGTCAAAGATTAAGCAGAAGGCATTCCTTGGATCCAATTTTA  2468\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2338  TCACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGAT  2397\n",
+      "\n",
+      "             ||||| |||| |||||||||| | || ||||||||||| ||||||||  |||| ||||| \n",
+      "\n",
+      "Sbjct  2469  TCACATGGAAGCACTTTGGGTCTGTATGAGGTGCTGATCGGAAAGCCCCATATATGTGAC  2528\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2398  ATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTT  2457\n",
+      "\n",
+      "             ||||| |||||||| ||||| |||||||||||  | |||||||||||||| ||| | || \n",
+      "\n",
+      "Sbjct  2529  ATGATCACAGATTCCGTGGTACATTGTTTCTTCATCGAAGCTGAAAAGATAGAGGAGCTG  2588\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "             ||||| || |||| ||| |||||  |||||||||||||||||||| | || || ||||| \n",
+      "\n",
+      "Sbjct  2589  CGTCAGTCAGATCATTCAATTGAACTTTTCCTGTGGCAGGAAAGCGCTCTGGTCATTGCT  2648\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATT  2577\n",
+      "\n",
+      "             ||||| || |||||||||||||||||||||||||||||||||||||||||||| ||  ||\n",
+      "\n",
+      "Sbjct  2649  AGGCTCTTGCTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTTCTTGTT  2708\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2578  GCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGT  2637\n",
+      "\n",
+      "             |||||||||||||| |||||| ||||||| ||||| |||||||| ||||| ||| | | |\n",
+      "\n",
+      "Sbjct  2709  GCTGAAAGGTCGACGATGAACATATACATCAAGGGGGAAGACATCGAACTTGAGCAGAAT  2768\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2638  TACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCT  2697\n",
+      "\n",
+      "             ||| |||||||| ||||||||||||| |||||||||| ||| |   | || ||||| |||\n",
+      "\n",
+      "Sbjct  2769  TACGTTGGCATTTTGCTGGAAGGATTCTTGAAGACCAGGAGCC---AGCTGATCACGCCT  2825\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2698  CCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCT  2757\n",
+      "\n",
+      "             || | |||||| || ||||| |||    ||||   | ||||||| || || || ||||| \n",
+      "\n",
+      "Sbjct  2826  CCTGGGGTGCTTCTGCCATCAAATGCTGACTTGAGCTTATTTGGACTCGAGTCCTCAGCC  2885\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2758  ATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGG  2817\n",
+      "\n",
+      "              |||| ||| | ||||||||  ||| ||| ||||| || ||||||||||| |||||  ||\n",
+      "\n",
+      "Sbjct  2886  GTGAATCATATAGACTACTGTCATAATGCACCCAGCTACCAAGTGGAGGCTAGAGCGCGG  2945\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2818  ATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCA  2877\n",
+      "\n",
+      "             || |||||||| || || |  |||   ||||||| |||||| ||  | ||| ||||||  \n",
+      "\n",
+      "Sbjct  2946  ATCATCTTCTTCGATATGGTCAGGACCTCCGAGGCAGAGGCCGATCTTCAGCGAAGCGTG  3005\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2878  TCTTTGTTGTCCCAGACCCATGA-------------------------------------  2900\n",
+      "\n",
+      "             ||  || |||| ||   ||||||                                     \n",
+      "\n",
+      "Sbjct  3006  TCGCTGCTGTCTCACGGCCATGAGCCACCACGAAGCGTGTCGCTGCTGTCTCACGGCCAT  3065\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2901  -----ACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGC  2955\n",
+      "\n",
+      "                  ||| || |||||| ||||||| ||||| || ||  ||||  |||||||||| |||\n",
+      "\n",
+      "Sbjct  3066  GAGCCACCACCACGGACAATGAGCAAGGAGCACAGCGGCTTGCTGTGTTGGCCAGAGAGC  3125\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2956  TTCCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCACCCGGGC  2994\n",
+      "\n",
+      "             ||| | || |||||                     |||||| ||||||| ||| ||||| \n",
+      "\n",
+      "Sbjct  3126  TTCAGGAGGTCCCGGGGAGGCCACAGTGCCAGCCTAGCTGAGATCAGAAACCAGCCGGGT  3185\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2995  AGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACATGCAC  3054\n",
+      "\n",
+      "             ||| ||||| | || || |||||||||||||||||||| |||   |||||  || |   |\n",
+      "\n",
+      "Sbjct  3186  AGCTTCTCTGCCAGGGCGCTGCAGCTGAGCATGTACGGCAGC---ATGGTGAACCTCACC  3242\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3055  TCAGG---TCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAGG  3111\n",
+      "\n",
+      "             || ||    ||||| ||  ||||||||  ||  | |||||||| |||  | |||   |||\n",
+      "\n",
+      "Sbjct  3243  TCTGGCCAGCAGGGTCACCGGCGGCAGAAGCCCCATCGCATGCCGGCGGCGAACCATAGG  3302\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3112  CACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTCC  3171\n",
+      "\n",
+      "             |||||||| ||||| ||| | ||||| || || | | |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3303  CACAGCTCTTCCTACCCCCGGGTGCCGTCGAGGCCATCCAACACGCGGCCTCTGCTCTCC  3362\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3172  GTTCAGTCGGAGGGTTTCAACATGAA-CAGGTTGC-----------------CTGCT---  3210\n",
+      "\n",
+      "             || ||||||||||||| ||||||||| |  || ||                 |||||   \n",
+      "\n",
+      "Sbjct  3363  GTGCAGTCGGAGGGTTCCAACATGAAGCGAGTGGCGGCGCCGAAAGACGCCACTGCTGGC  3422\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3211  TCTCCTACACCGCCTGCTCCAG----CTCCG-------GTAAGATCTGA-GGGGATGGAA  3258\n",
+      "\n",
+      "                 | ||| |  |||||||||    |||||       | |  | | || || | || ||\n",
+      "\n",
+      "Sbjct  3423  GAGGCCACAACTGCTGCTCCAGCGACCTCCGCAGGCCAGCAGCAACGGACGGCGGTGCAA  3482\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3259  GACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCT  3318\n",
+      "\n",
+      "             ||| ||||||| |||||||| || |  ||||| || ||||||||| |||||||||| || \n",
+      "\n",
+      "Sbjct  3483  GACGACAACTCGAGCGACGACTCCGGCGGGGAAGAGGTCATCGTCAGAGTCGACTCTCCC  3542\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3319  AGCATGCTGTCTTTTCGTCAGTCCTCCGGCGCGGTT  3354\n",
+      "\n",
+      "             |||||||| ||||| ||||||||| ||| |||||||\n",
+      "\n",
+      "Sbjct  3543  AGCATGCTCTCTTTCCGTCAGTCCGCCGCCGCGGTT  3578\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">MH992129.1 Saccharum spontaneum isolate WT salt overly sensitive mRNA, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3390\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3445 bits (3820),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2808/3403 (83%), Gaps = 99/3403 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3     GGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAAT  62\n",
+      "\n",
+      "             |||||||||||| |||||||| |||||||||||||||| ||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  12    GGGTGAGCCTGAGCCTGACGACGCGGTGCTCTTCGTTGGGGTGTCGCTGGTGCTGGGCAT  71\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  63    CGCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCT  122\n",
+      "\n",
+      "             || ||| |||||||| ||||| |||||||||||||||||||| || ||||||||| ||||\n",
+      "\n",
+      "Sbjct  72    CGGCTCCCGCCACCTCCTCCGCGGCACCCGCGTCCCCTACACAGTCGCCCTTCTCGTCCT  131\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  123   CGGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGC  182\n",
+      "\n",
+      "             ||| || || || || |||||||||| |||||| | ||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  132   CGGAGTCGCGCTAGGATCCCTCGAATACGGAACACAACATGGTCTAGGCAAACTTGGAGC  191\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  183   TGGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGC  242\n",
+      "\n",
+      "             ||| |||||||| ||||||||||||||||||||||||||| ||||||||||| |||||||\n",
+      "\n",
+      "Sbjct  192   TGGAATTCGTATCTGGGCTAACATAAACCCTGATCTTCTGCTGGCTGTTTTTTTACCTGC  251\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  243   CCTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACA  302\n",
+      "\n",
+      "             |||| | || |||||||| || || |||||  | |||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  252   CCTCCTCTTTGAAAGCTCCTTCTCCATGGAAGTACACCAAATAAAGAGATGTATGGCACA  311\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  303   GATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGT  362\n",
+      "\n",
+      "             ||||||| | ||||||||||||||||| || ||||||||| ||||||||||| ||  |||\n",
+      "\n",
+      "Sbjct  312   GATGGTGTTACTTGCTGGACCAGGTGTGGTAATATCAACAGTTTTACTTGGCGCTGCTGT  371\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  363   AAAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCT  422\n",
+      "\n",
+      "             |||| | |||||||| ||||||||||||||||||  ||||||||||||| | ||||| ||\n",
+      "\n",
+      "Sbjct  372   AAAGCTCACTTTTCCTTACAACTGGAGCTGGAAAACATCATTGTTGCTTAGCGGACTGCT  431\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  423   TAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAA  482\n",
+      "\n",
+      "             ||||||||||||||| ||||||||||||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  432   TAGTGCAACTGATCCAGTTGCTGTGGTTGCACTGCTAAAAGAACTCGGAGCAAGTAAAAA  491\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  483   GCTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTA  542\n",
+      "\n",
+      "             ||| |||||||| ||||||||||||||  ||||||| |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  492   GCTTAGTACAATCATTGAGGGTGAATCCTTAATGAATGATGGGACCGCTATTGTTGTCTA  551\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  543   TCAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTT  602\n",
+      "\n",
+      "             |||  |||| |  ||||||||||| |||||||||||||||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  552   TCAGTTATTCTATCGAATGGTGCTTGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTT  611\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  603   CTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGT  662\n",
+      "\n",
+      "             ||| |  |||||| | ||||| || |||||| ||||||||||||| ||||| || ||| |\n",
+      "\n",
+      "Sbjct  612   CTTGTCTGAAGTTTCACTTGGAGCCGTTGCTCTGGGCCTTGCATTTGGAATCGTGTCAAT  671\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  663   ACTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGT  722\n",
+      "\n",
+      "             |||||||||||||||||||||||| |||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  672   ACTGTGGCTGGGCTTTATTTTTAACGATACAATCATAGAGATTGCACTTACTCTTGCTGT  731\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  723   CAGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGT  782\n",
+      "\n",
+      "             |||||||||||||||||||||||| ||||| || |||||||| |||||||||||| | ||\n",
+      "\n",
+      "Sbjct  732   CAGCTATATAGCTTTCTTCACTGCGCAAGACTCACTGGAGGTCTCTGGTGTTTTGACCGT  791\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  783   CATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCA  842\n",
+      "\n",
+      "             ||||||  |||||||||| |||||||||||||||||||| |||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  792   CATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTCAAGGGTGAAAGTCA  851\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  843   GGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTAT  902\n",
+      "\n",
+      "               |||||||||| ||||| |||||||||||||||||||| ||||| || |||||||||||\n",
+      "\n",
+      "Sbjct  852   ACAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTAT  911\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  903   ATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACA  962\n",
+      "\n",
+      "             | |||||||||| |||||||||| ||| ||||||||||||||||  || ||||| |  ||\n",
+      "\n",
+      "Sbjct  912   ACTGAGTGGGGTTGTTATTGCAGGTGGCGTTCTACAAAATAATGCACACTTTGAGAAGCA  971\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  963   TGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGT  1022\n",
+      "\n",
+      "              |||| ||| ||||| |||||||| ||||| ||| ||||||| | |||||| ||| || |\n",
+      "\n",
+      "Sbjct  972   CGGCAGTTCATGGGGCTTCCTTCTGCTGCTCTATGTCTTTGTACAAATATCTCGACTTAT  1031\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1023  AGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGA  1082\n",
+      "\n",
+      "             |||||||||||||||||| ||||||||| ||| |||||||||||| ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1032  AGTTGTTGGTGTTTTGTACCCATTGTTGCGTCACTTTGGGTATGGGTTGGACTGGAAAGA  1091\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1083  GGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATC  1142\n",
+      "\n",
+      "             |||||| |||||||| |||||||||||| |||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  1092  GGCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTATC  1151\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1143  TGTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTT  1202\n",
+      "\n",
+      "             |||||| ||||| || |||||||| ||| |||| ||  ||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1152  TGTTAAGCGTACCAGCGATGCAGTTCAACCTTACCTTAAACCAGAAGTTGGAACAATGTT  1211\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1203  TGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACA  1262\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||| |||||||| | ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1212  TGTGTTCTTCACTGGTGGCATTGTGTTTCTGGCATTGATTTTTAATGGCTCAACCACACA  1271\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1263  ATTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAA  1322\n",
+      "\n",
+      "             ||||||  |||||||||| |||||||||||| |||| || |||||| |||| ||||||||\n",
+      "\n",
+      "Sbjct  1272  ATTTTTGCTACATATGCTCGGCATGGACAAATTGTCGGCCACAAAGCTTCGTATATTGAA  1331\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1323  ATATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGA  1382\n",
+      "\n",
+      "             |||||||||| |||||||||| ||||||||||||||||||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  1332  ATATACAAGATATGAAATGCTAAACAAAGCATTAGAGGCTTTTGGTGAGCTAAGGGATGA  1391\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1383  TGAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGA  1442\n",
+      "\n",
+      "             ||| || |||||||||||||| ||| ||||||||||||||||||| ||||||| | ||||\n",
+      "\n",
+      "Sbjct  1392  TGAGGAACTTGGACCTGCTGACTGGATTACTGTAAAGAAATATATCACATGTTCGAATGA  1451\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1443  CTTGGATGATGAACCAGAGCATCCCCATGA---CATTGACAAGGATAGCCGCATGCATAC  1499\n",
+      "\n",
+      "             | | ||  |||| |||||||||||||||||   |  || ||| |||  ||||||||||| \n",
+      "\n",
+      "Sbjct  1452  CCTAGACAATGAGCCAGAGCATCCCCATGATGTCGGTGGCAAAGATGACCGCATGCATAT  1511\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1500  CATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGG  1559\n",
+      "\n",
+      "             ||||||| |||  ||||||||||| |||||| |||||||||| |||||||| || |||||\n",
+      "\n",
+      "Sbjct  1512  CATGAACTTAACAGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGG  1571\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1560  AATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGA  1619\n",
+      "\n",
+      "             |||||||||||| ||||||||||||||||||||||||||||||||||||||||| |||||\n",
+      "\n",
+      "Sbjct  1572  AATGCTTGAAGAAGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCGGTTGA  1631\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1620  TGAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAA  1679\n",
+      "\n",
+      "             |||||||||||| ||| ||||| ||||| | |||||||||||| | |||||| | || ||\n",
+      "\n",
+      "Sbjct  1632  TGAAGCTATGGATCTTGTCTCCGGACAAACATTATGTGATTGGAAAGGTTTAAAGTCTAA  1691\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1680  TGTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCAT  1739\n",
+      "\n",
+      "             |||||||||||| ||||| ||||| ||||| |||||||| ||||| |||||||||||  |\n",
+      "\n",
+      "Sbjct  1692  TGTCCAGTTCCCAAATTATTATAGGTTCCTTCAGATGAGTAGGTTACCACGAAAGCTTGT  1751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1740  CACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCG  1799\n",
+      "\n",
+      "             ||||||||||||||| |||||||| ||||| ||||||||||| | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1752  CACATACTTCACAGTCGAAAGATTAGAGTCTGGATGTTACATTTGTGCTGCATTTCTTCG  1811\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1800  TGCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAG  1859\n",
+      "\n",
+      "             |||||||||||  |||||||| ||||| |||||||||||||| ||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1812  TGCTCACAGAATCGCAAGGCGGCAGCTTCATGATTTTCTTGGCGATAGTGAGGTTGCAAG  1871\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1860  AACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGT  1919\n",
+      "\n",
+      "             |||||||||| |||||||||| |||||||| |||||||||| ||||||  ||||||||||\n",
+      "\n",
+      "Sbjct  1872  AACTGTTATTAATGAAAGTAACGCTGAGGGAGAGGAAGCTAGAAAATTCTTGGAAGATGT  1931\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1920  TCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGT  1979\n",
+      "\n",
+      "             ||| ||||| ||||||||||||||||| ||||||||| | ||||| ||||||||||| ||\n",
+      "\n",
+      "Sbjct  1932  TCGAGTTACATTCCCGCAGGTGCTACGAGTGCTAAAGACACGACAAGTCACATATTCTGT  1991\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1980  ATTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAA  2039\n",
+      "\n",
+      "               |||||||| ||||||||||||||||||||||||||||||| ||| ||||||| || ||\n",
+      "\n",
+      "Sbjct  1992  GCTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGCTGCTGGAAGAGAA  2051\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2040  GGAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCC  2099\n",
+      "\n",
+      "             ||||||| | || |||||||||||| ||||||||||||| ||||| ||  | ||||||||\n",
+      "\n",
+      "Sbjct  2052  GGAAATGGTCCAGTTAGATGATGCTCTGCAGACAGACTTGAAGAAGTTTCAGAGGAATCC  2111\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2100  ACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGC  2159\n",
+      "\n",
+      "             ||| || ||||||||||||||| |  |||| ||| | ||||| ||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2112  ACCAATAGTGAAAATGCCAAGAATCAGTGACCTTCTGAACACTCATCCTTTAGTTGGAGC  2171\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2160  ACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "              ||||||||||     |||||||||||  |||| |||||||| ||||| || ||||||||\n",
+      "\n",
+      "Sbjct  2172  GCTGCCTGCTGCTGTGCGTGATCCTTTGCTAAGAAATACAAAGGAAACCGTGCGAGGGCA  2231\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "              || ||    || || | |||||| || ||||| || ||| ||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2232  GGGCACAGCGCTGTACAGGGAAGGATCCAGGCCAACCGGTATATGGCTTGTTTCTATTGG  2291\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "             |||||| |||||| ||||||||||| ||||||| ||||||| ||| ||||||||| ||||\n",
+      "\n",
+      "Sbjct  2292  TGTAGTAAAGTGGACAAGTCAGAGATTAAGCAGAAGGCATTGCTTAGATCCAATTCTATC  2351\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| |||||||||||| || |||||||||||||||||||||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2352  ACATGGAAGCACTTTGGGTTTGTATGAGGTGCTGATTGGAAAGCCATATATCTGTGACAT  2411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCG  2459\n",
+      "\n",
+      "             ||  || ||||| ||||  || ||||||||  | ||| |||||||||| ||  | || ||\n",
+      "\n",
+      "Sbjct  2412  GACCACGGATTCAGTGGCACACTGTTTCTTCATTGAAACTGAAAAGATAGAAGAGCTGCG  2471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2460  TCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAG  2519\n",
+      "\n",
+      "              || || |||||||| ||||||||||||||||||||||||||| | || ||  |||| ||\n",
+      "\n",
+      "Sbjct  2472  CCATTCAGATCCTTCGATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTGCTTGCTAG  2531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2520  GCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGC  2579\n",
+      "\n",
+      "             |||||| || ||||  ||||| |||||||||| ||||| |||||| ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2532  GCTTTTGCTCCCTCGCATATTCGAGAAAATGGGAATGCGTGAGATGAGGGTTCTCATAGC  2591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2580  TGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTA  2639\n",
+      "\n",
+      "             |||||||||||| |||||| ||||||| ||||| |||||||  ||| ||||| | | || \n",
+      "\n",
+      "Sbjct  2592  TGAAAGGTCGACGATGAACATATACATCAAGGGAGAAGACACGGAAGTGGAGCAGAATTG  2651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2640  CATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCC  2699\n",
+      "\n",
+      "             ||| |||||| ||||||||||||| ||||||||| |||  |  | ||| ||||| |||||\n",
+      "\n",
+      "Sbjct  2652  CATCGGCATTTTGCTGGAAGGATTCTTGAAGACCGAGAACCTGACTCTAATCACGCCTCC  2711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2700  AGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTAT  2759\n",
+      "\n",
+      "              |||||||| || |||| ||||    ||||   | |||| ||||| || || |||     \n",
+      "\n",
+      "Sbjct  2712  GGCGGTGCTTCTGCCATGGAATGCTGACTTGAGCTTATTCGGTCTCGAGTCCTCA-----  2766\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2760  GAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGAT  2819\n",
+      "\n",
+      "                       ||||||||| |||| || | ||| ||||| ||||| || |||||  ||||\n",
+      "\n",
+      "Sbjct  2767  ----------GACTACTGCCATACCGCACGCAGGTATCAGGTGGAAGCTAGAGCGCGGAT  2816\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2820  TATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATC  2879\n",
+      "\n",
+      "              |||||||| ||         ||   | |||||  | |  ||     || |   |||  |\n",
+      "\n",
+      "Sbjct  2817  CATCTTCTTCGA---------GGAGACAGAGGTTCATG--GA-----AGTGCGTCGCGGC  2860\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2880  T-TTGTTGTCCCA--GAC----------CCATGAACCTCCTCGGACACTGAGCAAAGAGC  2926\n",
+      "\n",
+      "             |  || || ||||  |||          |||||| ||  | ||||   ||||||| ||||\n",
+      "\n",
+      "Sbjct  2861  TGCTGCTGCCCCAAGGACAAGGAGGAGGCCATGAGCCAGCACGGAGCATGAGCAAGGAGC  2920\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2927  ATAGTGGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCCGAGCTGAAATC-AG---A  2982\n",
+      "\n",
+      "             | || ||  ||||||| ||||| || |||||||| || ||||  |  | || | ||    \n",
+      "\n",
+      "Sbjct  2921  ACAGCGGCTTGCTCAGCTGGCCCGAGAGCTTCCGGAGGTCCCATG--GCAACCTAGGCCT  2978\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2983  AGCCAC-------CCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAG  3035\n",
+      "\n",
+      "             |||  |       |||||| || | ||| | || |||||||||||||| |||||||| ||\n",
+      "\n",
+      "Sbjct  2979  AGCTGCTGAGATGCCGGGCGGCTTGTCTTCCAGGGCCCTGCAGCTGAGTATGTACGGCAG  3038\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3036  CATGAT--GGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATG  3093\n",
+      "\n",
+      "             |||| |  |  |  | | |   |||  ||||| ||  |||||||| ||| || |||| ||\n",
+      "\n",
+      "Sbjct  3039  CATGGTGAGCCTCTCCTCCGGCCAG--CAGGGTCACCGGCGGCAGAGGCGTCATCGCGTG  3096\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3094  CAGG------CAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAA  3147\n",
+      "\n",
+      "             ||||      | || |||  || ||||||||| ||||| || ||| |||| |        \n",
+      "\n",
+      "Sbjct  3097  CAGGCGGCGACGACAAACCAGAAGCACAGCTCCTCCTACCCAAGAATGCCGT--------  3148\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3148  GCCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA-ACAGGTTGC-  3205\n",
+      "\n",
+      "              ||||   |||||||||||||||||| ||||||||||| | ||||||||  |  || || \n",
+      "\n",
+      "Sbjct  3149  -CCAAGGAGCGGCCTCTGCTCTCCGTGCAGTCGGAGGGCTCCAACATGAGGCGAGTGGCA  3207\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3206  -------CTGCTTCTCCTACACCGCCTGCTCCAGCTCCGGTA----AG----ATCTGAGG  3250\n",
+      "\n",
+      "                    |||||     | |  |  | ||||| |||||||||    ||    | | || |\n",
+      "\n",
+      "Sbjct  3208  GCTGACGCTGCTGAGGTTGCTGCCACCGCTCCTGCTCCGGTAGCCCAGCGGCAGC-GACG  3266\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3251  G--GATGGAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGT  3308\n",
+      "\n",
+      "             |  |  ||| ||  ||||||| |||||||| ||  | || || |||||||||||| ||||\n",
+      "\n",
+      "Sbjct  3267  GTTGCAGGAGGAAGACAACTCGAGCGACGACTCCACCGGCGAAGAAGTCATCGTCAGAGT  3326\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3309  CGACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGCGCG  3351\n",
+      "\n",
+      "              ||||| || |||||||| ||||| ||||||||| ||| ||||\n",
+      "\n",
+      "Sbjct  3327  TGACTCGCCCAGCATGCTCTCTTTCCGTCAGTCCGCCGCCGCG  3369\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">MH992128.1 Saccharum officinarum isolate KPS salt overly sensitive mRNA, \n",
+      "\n",
+      "complete cds\n",
+      "\n",
+      "Length=3390\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3438 bits (3812),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2806/3401 (83%), Gaps = 95/3401 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3     GGGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAAT  62\n",
+      "\n",
+      "             |||||||||||| |||||||||||||||||||||| || ||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  12    GGGTGAGCCTGAGCCTGACGATGCGGTGCTCTTCGCTGGGGTGTCGCTGGTGCTGGGCAT  71\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  63    CGCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCT  122\n",
+      "\n",
+      "             || ||| |||||||| ||||| ||||||||||||||||||||||| ||||||||| ||||\n",
+      "\n",
+      "Sbjct  72    CGGCTCCCGCCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTTCTCGTCCT  131\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  123   CGGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGC  182\n",
+      "\n",
+      "             ||| || || || || |||||||||| |||||| | ||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  132   CGGAGTCGCGCTAGGATCCCTCGAATACGGAACACAACATGGTCTAGGCAAACTTGGAGC  191\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  183   TGGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGC  242\n",
+      "\n",
+      "             ||| |||||||| ||||||||||||||||||||||||||| ||||||||||| |||||||\n",
+      "\n",
+      "Sbjct  192   TGGAATTCGTATCTGGGCTAACATAAACCCTGATCTTCTGCTGGCTGTTTTTTTACCTGC  251\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  243   CCTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACA  302\n",
+      "\n",
+      "             |||| | || |||||||| || || |||||  | |||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  252   CCTCCTCTTTGAAAGCTCCTTCTCCATGGAAGTACACCAAATAAAGAGATGTATGGCACA  311\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  303   GATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGT  362\n",
+      "\n",
+      "             ||||||| | ||||||||||||||||| || ||||||||| ||||||||||| ||  |||\n",
+      "\n",
+      "Sbjct  312   GATGGTGTTACTTGCTGGACCAGGTGTGGTAATATCAACAGTTTTACTTGGCGCTGCTGT  371\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  363   AAAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCT  422\n",
+      "\n",
+      "             |||| | |||||||| ||||||||||||||||||  ||||||||||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  372   AAAGCTCACTTTTCCTTACAACTGGAGCTGGAAAACATCATTGTTGCTTGGCGGACTGCT  431\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  423   TAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAA  482\n",
+      "\n",
+      "             ||||||||||||||| ||||||||||||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  432   TAGTGCAACTGATCCAGTTGCTGTGGTTGCACTGCTAAAAGAACTCGGAGCAAGTAAAAA  491\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  483   GCTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTA  542\n",
+      "\n",
+      "             ||| |||||||| ||||||||||||||  ||||||| |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  492   GCTTAGTACAATCATTGAGGGTGAATCCTTAATGAATGATGGGACCGCTATTGTTGTCTA  551\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  543   TCAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTT  602\n",
+      "\n",
+      "             |||  |||| |  ||||||||||| |||||||||||||||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  552   TCAGTTATTCTATCGAATGGTGCTTGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTT  611\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  603   CTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGT  662\n",
+      "\n",
+      "             ||| |  |||||| | ||||| || |||||| ||||||||||||| ||||| || ||| |\n",
+      "\n",
+      "Sbjct  612   CTTGTCTGAAGTTTCACTTGGAGCCGTTGCTCTGGGCCTTGCATTTGGAATCGTGTCAAT  671\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  663   ACTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGT  722\n",
+      "\n",
+      "             |||||||||||||||||||||||| |||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  672   ACTGTGGCTGGGCTTTATTTTTAACGATACAATCATAGAGATTGCACTTACTCTTGCTGT  731\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  723   CAGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGT  782\n",
+      "\n",
+      "             |||||||||||||||||||||||| ||||| || |||||||| |||||||||||| | ||\n",
+      "\n",
+      "Sbjct  732   CAGCTATATAGCTTTCTTCACTGCGCAAGACTCACTGGAGGTCTCTGGTGTTTTGACCGT  791\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  783   CATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCA  842\n",
+      "\n",
+      "             ||||||  |||||||||| |||||||||||||||||||| |||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  792   CATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTCAAGGGTGAAAGTCA  851\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  843   GGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTAT  902\n",
+      "\n",
+      "               |||||||||| ||||| |||||||||||||||||||| ||||| || |||||||||||\n",
+      "\n",
+      "Sbjct  852   ACAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTAT  911\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  903   ATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACA  962\n",
+      "\n",
+      "             | |||||||||| |||||||||| ||| ||||||||||||||||  || ||||| |  ||\n",
+      "\n",
+      "Sbjct  912   ACTGAGTGGGGTTGTTATTGCAGGTGGCGTTCTACAAAATAATGCACACTTTGAGAAGCA  971\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  963   TGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGT  1022\n",
+      "\n",
+      "              |||| ||| ||||| |||||||| ||||| ||| ||||||| | |||||| ||| || |\n",
+      "\n",
+      "Sbjct  972   CGGCAGTTCATGGGGCTTCCTTCTGCTGCTCTATGTCTTTGTACAAATATCTCGACTTAT  1031\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1023  AGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGA  1082\n",
+      "\n",
+      "             |||||||||||||||||| ||||||||| ||| |||||||||||| ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1032  AGTTGTTGGTGTTTTGTACCCATTGTTGCGTCACTTTGGGTATGGGTTGGACTGGAAAGA  1091\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1083  GGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATC  1142\n",
+      "\n",
+      "             |||||| |||||||| |||||||||||| |||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  1092  GGCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTATC  1151\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1143  TGTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTT  1202\n",
+      "\n",
+      "             |||||| ||||| || |||||||| ||| |||| ||  ||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1152  TGTTAAGCGTACCAGCGATGCAGTTCAACCTTACCTTAAACCAGAAGTTGGAACAATGTT  1211\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1203  TGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACA  1262\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||||| | ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1212  TGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTTTTAATGGCTCAACCACACA  1271\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1263  ATTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAA  1322\n",
+      "\n",
+      "             ||||||  |||||||||| |||||||||||| |||| || |||||| |||| ||||||||\n",
+      "\n",
+      "Sbjct  1272  ATTTTTGCTACATATGCTCGGCATGGACAAATTGTCGGCCACAAAGCTTCGTATATTGAA  1331\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1323  ATATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGA  1382\n",
+      "\n",
+      "             |||||||||| |||||||||| ||||||||||||||||||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  1332  ATATACAAGATATGAAATGCTAAACAAAGCATTAGAGGCTTTTGGTGAGCTAAGGGATGA  1391\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1383  TGAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGA  1442\n",
+      "\n",
+      "              || || |||||||||||||| ||| ||||||||||||||||||| ||||||||| ||||\n",
+      "\n",
+      "Sbjct  1392  CGAGGAACTTGGACCTGCTGACTGGATTACTGTAAAGAAATATATCACATGTTTGAATGA  1451\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1443  CTTGGATGATGAACCAGAGCATCCCCATGA---CATTGACAAGGATAGCCGCATGCATAC  1499\n",
+      "\n",
+      "             | | ||  |||| |||||||||||||||||   |  || ||| |||  ||||||||||| \n",
+      "\n",
+      "Sbjct  1452  CCTAGACAATGAGCCAGAGCATCCCCATGATGTCGGTGGCAAAGATGACCGCATGCATAT  1511\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1500  CATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGG  1559\n",
+      "\n",
+      "             ||||||| |||  ||||||||||| |||||| |||||||||| |||||||| || |||||\n",
+      "\n",
+      "Sbjct  1512  CATGAACTTAACAGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGG  1571\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1560  AATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGA  1619\n",
+      "\n",
+      "             |||||||||||| ||||||||||||||||||||||||||||||||||||||||| |||||\n",
+      "\n",
+      "Sbjct  1572  AATGCTTGAAGAAGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCGGTTGA  1631\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1620  TGAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAA  1679\n",
+      "\n",
+      "             |||||||||||| ||| | ||| ||||| | |||||||||||| | |||||| | || ||\n",
+      "\n",
+      "Sbjct  1632  TGAAGCTATGGATCTTGTTTCCGGACAAACATTATGTGATTGGAAAGGTTTAAAGTCTAA  1691\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1680  TGTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCAT  1739\n",
+      "\n",
+      "             |||||||||||| ||||| ||||| ||||| |||||||| ||||| |||||||||||  |\n",
+      "\n",
+      "Sbjct  1692  TGTCCAGTTCCCAAATTATTATAGGTTCCTTCAGATGAGTAGGTTACCACGAAAGCTTGT  1751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1740  CACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCG  1799\n",
+      "\n",
+      "             ||||||||||||||| |||||||| ||||| ||||||||||| | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1752  CACATACTTCACAGTCGAAAGATTAGAGTCTGGATGTTACATCTGTGCTGCATTTCTTCG  1811\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1800  TGCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAG  1859\n",
+      "\n",
+      "             |||||||||||  |||||||| ||||| |||||||||||||| ||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1812  TGCTCACAGAATCGCAAGGCGGCAGCTTCATGATTTTCTTGGCGATAGTGAGGTTGCAAG  1871\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1860  AACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGT  1919\n",
+      "\n",
+      "             |||||||||| |||||||||| |||||||| |||||||||| ||||||  ||||||||||\n",
+      "\n",
+      "Sbjct  1872  AACTGTTATTAATGAAAGTAACGCTGAGGGAGAGGAAGCTAGAAAATTCTTGGAAGATGT  1931\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1920  TCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGT  1979\n",
+      "\n",
+      "             ||| ||||| ||||||||||||||||| ||||||||| | ||||| ||||||||||| ||\n",
+      "\n",
+      "Sbjct  1932  TCGAGTTACATTCCCGCAGGTGCTACGAGTGCTAAAGACACGACAAGTCACATATTCTGT  1991\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1980  ATTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAA  2039\n",
+      "\n",
+      "               |||||||| ||||||||||||||||||||||||||||||| ||| ||||||| || ||\n",
+      "\n",
+      "Sbjct  1992  GCTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGCTGCTGGAAGAGAA  2051\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2040  GGAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCC  2099\n",
+      "\n",
+      "             ||||||| | || |||||||||||| | ||||||||||| ||||| ||  | ||||||||\n",
+      "\n",
+      "Sbjct  2052  GGAAATGGTCCAGTTAGATGATGCTCTCCAGACAGACTTGAAGAAGTTTCAGAGGAATCC  2111\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2100  ACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGC  2159\n",
+      "\n",
+      "             ||| || ||||||||||||||| |  |||| ||| | ||||| ||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2112  ACCAATAGTGAAAATGCCAAGAATCAGTGACCTTCTGAACACTCATCCTTTAGTTGGAGC  2171\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2160  ACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "              ||||||||||     |||||||||||  |||| |||||||| ||||| || ||||||||\n",
+      "\n",
+      "Sbjct  2172  GCTGCCTGCTGCTGTGCGTGATCCTTTGCTAAGAAATACAAAGGAAACCGTGCGAGGGCA  2231\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "              || ||    || || | |||||| || ||||| || ||| ||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2232  GGGCACAGCGCTGTACAGGGAAGGATCCAGGCCAACCGGTATATGGCTTGTTTCTATTGG  2291\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "             |||||| |||||| ||||||||||| ||||||| ||||||| ||| ||||||||| ||||\n",
+      "\n",
+      "Sbjct  2292  TGTAGTAAAGTGGACAAGTCAGAGATTAAGCAGAAGGCATTGCTTAGATCCAATTCTATC  2351\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| |||||||||||| || |||||||||||||||| ||||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2352  ACATGGAAGCACTTTGGGTTTGTATGAGGTGCTGATTGGAAGGCCATATATCTGTGACAT  2411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCG  2459\n",
+      "\n",
+      "             ||  || ||||| ||||  || ||||||||  | ||| |||||||||| ||  | || ||\n",
+      "\n",
+      "Sbjct  2412  GACCACGGATTCAGTGGCACACTGTTTCTTCATTGAAACTGAAAAGATAGAAGAGCTGCG  2471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2460  TCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAG  2519\n",
+      "\n",
+      "              || || |||||||| ||||||||||||||||||||||||||| | || ||  |||| ||\n",
+      "\n",
+      "Sbjct  2472  CCATTCAGATCCTTCGATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTGCTTGCTAG  2531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2520  GCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGC  2579\n",
+      "\n",
+      "             |||||| || ||||  ||||| |||||||||| ||||| |||||| ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2532  GCTTTTGCTCCCTCGCATATTCGAGAAAATGGGAATGCGTGAGATGAGGGTTCTCATAGC  2591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2580  TGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTA  2639\n",
+      "\n",
+      "             |||||||||||| |||||| ||||||| ||||| |||||||  ||| ||||| | | || \n",
+      "\n",
+      "Sbjct  2592  TGAAAGGTCGACGATGAACATATACATCAAGGGAGAAGACACGGAAGTGGAGCAGAATTG  2651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2640  CATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCC  2699\n",
+      "\n",
+      "             |||||||||| ||||||||||||| | ||||||| |||  |  | ||| ||||| |||||\n",
+      "\n",
+      "Sbjct  2652  CATTGGCATTTTGCTGGAAGGATTCTCGAAGACCGAGAACCTGACTCTAATCACGCCTCC  2711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2700  AGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTAT  2759\n",
+      "\n",
+      "              |||||||| || |||| ||||    ||||   | |||||||||| || || |||     \n",
+      "\n",
+      "Sbjct  2712  GGCGGTGCTTCTGCCATGGAATGCTGACTTGAGCTTATTTGGTCTCGAGTCCTCA-----  2766\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2760  GAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGAT  2819\n",
+      "\n",
+      "                       ||||| ||| ||||||| | ||| ||||| ||||| || |||||  ||||\n",
+      "\n",
+      "Sbjct  2767  ----------GACTATTGCCATACTGCACGCAGGTATCAGGTGGAAGCTAGAGCGCGGAT  2816\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2820  TATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATC  2879\n",
+      "\n",
+      "              |||||||| |    |||| |     | |||||  | |  ||     || |   |||  |\n",
+      "\n",
+      "Sbjct  2817  CATCTTCTTCG----AGGAGG-----CAGAGGTTCATG--GA-----AGTGCGTCGCGGC  2860\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2880  T-TTGTTGTCCCA--GAC----------CCATGAACCTCCTCGGACACTGAGCAAAGAGC  2926\n",
+      "\n",
+      "             |  || ||  |||  |||          |||||| ||  | ||||   ||||||| ||||\n",
+      "\n",
+      "Sbjct  2861  TGCTGCTGCTCCAGGGACAAGGAGGAGGCCATGAGCCAGCACGGAGCATGAGCAAGGAGC  2920\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2927  ATAGTGGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCC----GAGCTGAAATC-AG  2981\n",
+      "\n",
+      "             | || ||  ||||||| ||||| || |||||||| || ||||     |||  |   | ||\n",
+      "\n",
+      "Sbjct  2921  ACAGCGGCTTGCTCAGCTGGCCCGAGAGCTTCCGGAGGTCCCATGGCAGCCTAGGCCTAG  2980\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2982  AAGC----CACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCA  3037\n",
+      "\n",
+      "               ||       |||||| || | ||| | || |||||||||||||| |||||||| ||||\n",
+      "\n",
+      "Sbjct  2981  CTGCTGAGATGCCGGGCGGCTTGTCTTCCAGGGCCCTGCAGCTGAGTATGTACGGCAGCA  3040\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3038  TGAT--GGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCA  3095\n",
+      "\n",
+      "             || |  |  |  | | |   |||  ||||| ||  |||||||| ||| || |||| ||||\n",
+      "\n",
+      "Sbjct  3041  TGGTGAGCCTCTCCTCCGGCCAG--CAGGGTCACCGGCGGCAGAGGCGTCATCGCGTGCA  3098\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3096  GG------CAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGC  3149\n",
+      "\n",
+      "             ||      | || |||  || |||||||   ||||| || ||| |||| |         |\n",
+      "\n",
+      "Sbjct  3099  GGCGACGACGACAAACCAGAAGCACAGCCTCTCCTACCCAAGAATGCCGT---------C  3149\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3150  CAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA-ACAGGTTGC---  3205\n",
+      "\n",
+      "             |||   |||||||||||||||||| ||||||||||| | ||||||||  |  || ||   \n",
+      "\n",
+      "Sbjct  3150  CAAGGAGCGGCCTCTGCTCTCCGTGCAGTCGGAGGGCTCCAACATGAGGCGAGTGGCAGC  3209\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3206  -----CTGCTTCTCCTACACCGCCTGCTCCAGCTCCGGTA----AG----ATCTGAGGG-  3251\n",
+      "\n",
+      "                  |||||     | |  |  | ||||| |||||||||    ||    | | || || \n",
+      "\n",
+      "Sbjct  3210  TGACGCTGCTGAGGTTGCTGCCACCGCTCCTGCTCCGGTAGCCCAGCGGCAGC-GACGGT  3268\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3252  -GATGGAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCG  3310\n",
+      "\n",
+      "              |  ||| ||  ||||||| |||||||| ||  | || || |||||||||||| |||| |\n",
+      "\n",
+      "Sbjct  3269  TGCAGGAGGAAGACAACTCGAGCGACGACTCCACCGGCGAAGAAGTCATCGTCAGAGTTG  3328\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3311  ACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGCGCG  3351\n",
+      "\n",
+      "             |||| || |||||||| ||||| ||||||||| ||| ||||\n",
+      "\n",
+      "Sbjct  3329  ACTCGCCCAGCATGCTCTCTTTCCGTCAGTCCGCCGCCGCG  3369\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_002443629.2 PREDICTED: Sorghum bicolor sodium/hydrogen exchanger 8 (LOC8065267), \n",
+      "\n",
+      "mRNA\n",
+      "\n",
+      "Length=3596\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3388 bits (3756),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2805/3427 (82%), Gaps = 127/3427 (4%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4     GGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATC  63\n",
+      "\n",
+      "             ||||  ||||| |||||||| |||||||||||||||| ||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  96    GGTGTTCCTGAGCCTGACGACGCGGTGCTCTTCGTTGGGGTGTCGCTGGTGCTGGGCATC  155\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  64    GCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTC  123\n",
+      "\n",
+      "             ||||| |||||||| ||||| || |||||||||||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  156   GCCTCCCGCCACCTCCTCCGCGGGACCCGCGTCCCCTACACCGTCGCCCTTCTCGTCCTC  215\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  124   GGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCT  183\n",
+      "\n",
+      "             || || || || || |||||||||| |||||| | ||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  216   GGAGTCGCGCTTGGGTCCCTCGAATACGGAACACAACATGGTCTAGGCAAACTTGGAGCT  275\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  184   GGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCC  243\n",
+      "\n",
+      "             || |||||||| ||||||||||||||||||||||||||| ||||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  276   GGAATTCGTATCTGGGCTAACATAAACCCTGATCTTCTGCTGGCTGTCTTTTTACCTGCC  335\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  244   CTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAG  303\n",
+      "\n",
+      "             ||| | || |||||||| || || |||||  | |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  336   CTCCTCTTTGAAAGCTCCTTCTCCATGGAAGTACACCAAATAAAGAGATGTATGGCACAG  395\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  304   ATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTA  363\n",
+      "\n",
+      "             |||||| | ||||||||||||||||| ||  |||||||| ||||||||||  ||   |||\n",
+      "\n",
+      "Sbjct  396   ATGGTGTTACTTGCTGGACCAGGTGTGGTAGTATCAACAGTTTTACTTGGTGCTGCCGTA  455\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  364   AAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTT  423\n",
+      "\n",
+      "             ||| | |||||||| ||||||||||||||||||  ||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  456   AAGCTCACTTTTCCTTACAACTGGAGCTGGAAAACATCATTGTTGCTTGGCGGACTGCTT  515\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  424   AGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAG  483\n",
+      "\n",
+      "             |||||||||||||| ||||||||||||||||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  516   AGTGCAACTGATCCAGTTGCTGTGGTTGCACTGCTAAAAGAACTCGGAGCAAGTAAAAAG  575\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  484   CTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTAT  543\n",
+      "\n",
+      "             || |||||||| ||||||||||||||  ||||||| |||||||| ||||| |||||||||\n",
+      "\n",
+      "Sbjct  576   CTTAGTACAATCATTGAGGGTGAATCCTTAATGAATGATGGGACCGCTATCGTTGTCTAT  635\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  544   CAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTC  603\n",
+      "\n",
+      "             ||  |||| |  ||||||||||| |||||||||||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  636   CAGTTATTCTATCGAATGGTGCTTGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTTC  695\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  604   TTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTA  663\n",
+      "\n",
+      "             || |  |||||| | ||||| ||||||||| ||||||||||||| |||||  | ||| ||\n",
+      "\n",
+      "Sbjct  696   TTGTCTGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGGAATCATGTCAATA  755\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  664   CTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  723\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756   CTGTGGCTAGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  815\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  724   AGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTC  783\n",
+      "\n",
+      "             ||||||||||||||||||||||| ||||| || || ||||| |||||||||||| | |||\n",
+      "\n",
+      "Sbjct  816   AGCTATATAGCTTTCTTCACTGCGCAAGACTCACTCGAGGTCTCTGGTGTTTTGACCGTC  875\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  784   ATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAG  843\n",
+      "\n",
+      "             |||||  |||||||||| |||||||||||||||||||| ||||| |||||||| || |||\n",
+      "\n",
+      "Sbjct  876   ATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGAAAGTCAG  935\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  844   GAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATA  903\n",
+      "\n",
+      "              |||||||||| ||||| |||||||||||||||||||| ||||| || ||||||||||||\n",
+      "\n",
+      "Sbjct  936   CAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTATA  995\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  904   TTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACAT  963\n",
+      "\n",
+      "              |||||||||| |||||||||||||| ||||||||||||||||  || ||||| || || \n",
+      "\n",
+      "Sbjct  996   CTGAGTGGGGTTGTTATTGCAGATGGCGTTCTACAAAATAATGCCCACTTTGAGAGGCAC  1055\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  964   GGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTA  1023\n",
+      "\n",
+      "             |||| ||| ||||| |||||||| ||||| ||| ||||||| |  ||||| ||| || ||\n",
+      "\n",
+      "Sbjct  1056  GGCAGTTCATGGGGCTTCCTTCTGCTGCTCTATGTCTTTGTACAGATATCTCGACTTATA  1115\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1024  GTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAG  1083\n",
+      "\n",
+      "             ||||||||||||||||| || |||||| |||  ||||||||||| ||||||| |||||||\n",
+      "\n",
+      "Sbjct  1116  GTTGTTGGTGTTTTGTACCCTTTGTTGCGTCAGTTTGGGTATGGGTTGGACTGGAAAGAG  1175\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1084  GCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCT  1143\n",
+      "\n",
+      "             ||||| |||||||| |||||||||||| |||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1176  GCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTATCT  1235\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1144  GTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTT  1203\n",
+      "\n",
+      "             ||||| ||||| || |||||||| ||| |||| ||  |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1236  GTTAAGCGTACCAGCGATGCAGTTCAACCTTACCTTAAACCAGAAGTTGGAACAATGTTT  1295\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1204  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAA  1263\n",
+      "\n",
+      "             |||||||||||||||||||| |||||||||||||||||| | ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1296  GTGTTCTTCACTGGTGGCATCGTGTTTCTGACATTGATTTTTAATGGCTCAACCACACAA  1355\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1264  TTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAA  1323\n",
+      "\n",
+      "             |||||  ||||||||||  ||||||||||| |||| || |||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1356  TTTTTGCTACATATGCTCAGCATGGACAAATTGTCGGCCACAAAGCTTCGTATATTGAAA  1415\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1324  TATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGAT  1383\n",
+      "\n",
+      "             ||||||||| |||||||||| ||||||||||||||| ||||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  1416  TATACAAGATATGAAATGCTAAACAAAGCATTAGAGTCTTTTGGTGAGCTAAGGGATGAC  1475\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1384  GAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || || |||||||||||||| ||| ||||||||||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  1476  GAGGAACTTGGACCTGCTGACTGGATTACTGTAAAGAAATATATCACATGTTTGAATGAC  1535\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGA---CATTGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "              | ||  |||| |||||||||||||||||   || || ||| |||   | |||||||| |\n",
+      "\n",
+      "Sbjct  1536  CTAGACAATGAGCCAGAGCATCCCCATGATGTCAGTGGCAAAGATGATCACATGCATATC  1595\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| |||  ||||||||||| |||||| |||||||||| |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  1596  ATGAACTTAACAGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGA  1655\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||||||||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1656  ATGCTTGAAGAAGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCCGTTGAT  1715\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||| ||| | |||  ||||   |||||||||||| | |||||| | || |||\n",
+      "\n",
+      "Sbjct  1716  GAAGCTATGGATCTTGTTTCCGAACAAAAATTATGTGATTGGAAAGGTTTAAAGTCTAAT  1775\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             ||||||||||| ||||||||||| ||||| |||||||| ||||| |||||||||||  ||\n",
+      "\n",
+      "Sbjct  1776  GTCCAGTTCCCAAATTACTATAGGTTCCTTCAGATGAGTAGGTTACCACGAAAGCTTGTC  1835\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             |||||||||||||| |||||||| ||||| ||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  1836  ACATACTTCACAGTCGAAAGATTAGAGTCTGGATGTTACATCTGTGCTGCATTTCTTCGT  1895\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             |||||||||| ||||||||||||||| |||||||||||||| ||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  1896  GCTCACAGAATTGCAAGGCGACAGCTACATGATTTTCTTGGCGATAGTGAGGTTGCAAGA  1955\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             |||||||||||||||||||| |||||||| |||||||||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  1956  ACTGTTATTGATGAAAGTAACGCTGAGGGAGAGGAAGCTAGAAAATTCTTGGAAGATGTT  2015\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             || ||||| ||||||||||||||||| ||||||||| | ||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  2016  CGAGTTACATTCCCGCAGGTGCTACGAGTGCTAAAGACACGACAAGTCACATATTCTGTG  2075\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "              |||||||| ||||||||||||||||||||||||||||||| ||| ||||||| || |||\n",
+      "\n",
+      "Sbjct  2076  CTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGCTGCTGGAAGAGAAG  2135\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             |||||| | || |||||||||||| ||||||||||||| ||||| ||| | |||||||||\n",
+      "\n",
+      "Sbjct  2136  GAAATGGTCCAGTTAGATGATGCTCTGCAGACAGACTTGAAGAAGTTGCAGAGGAATCCA  2195\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             || || |||||||||||||||||  |||| ||| | ||||| ||||||||||| || || \n",
+      "\n",
+      "Sbjct  2196  CCAATAGTGAAAATGCCAAGAGTCAGTGACCTTCTGAACACTCATCCTTTAGTTGGCGCG  2255\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||     |||||||||||  ||||||||||||| ||||| || ||||| || \n",
+      "\n",
+      "Sbjct  2256  CTGCCTGCTGCTGTGCGTGATCCTTTGCTAAGTAATACAAAGGAAACCGTGCGAGGACAG  2315\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || |  || |||| ||||||||| ||||| || ||| ||||||||||||| || |||\n",
+      "\n",
+      "Sbjct  2316  GGCACAACCCTGTATAGGGAAGGCTCCAGGCCAACCGGTATATGGCTTGTTTCTATTGGT  2375\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| | ||||||||| ||||||| ||||||| ||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  2376  GTAGTAAAGTGGACGAGTCAGAGATTAAGCAGAAGGCATTGCTTAGATCCAATTCTATCA  2435\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || |||| |||||||||  | || |||||||||||||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2436  CATGGAAGCACTTTGGGACTGTATGAGGTGCTGATTGGAAAGCCATATATCTGTGACATG  2495\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |  || ||||| ||||  || ||||||||  | ||| |||||||||| ||  | || || \n",
+      "\n",
+      "Sbjct  2496  ACCACGGATTCAGTGGCACACTGTTTCTTCATCGAAACTGAAAAGATAGAAGAGCTGCGC  2555\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             || || |||||||| ||||||||||||||||||||||||||| | || ||| ||||||||\n",
+      "\n",
+      "Sbjct  2556  CATTCAGATCCTTCGATTGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTTCTTGCCAGG  2615\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||||| || ||||  ||||| |||||||||| |||||||||||| ||||| |||||||||\n",
+      "\n",
+      "Sbjct  2616  CTTTTGCTCCCTCGCATATTCGAGAAAATGGGAATGCATGAGATGAGGGTTCTCATTGCT  2675\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||||||||| |||||| ||||||| ||||| |||||| | ||| ||||| | | || |\n",
+      "\n",
+      "Sbjct  2676  GAAAGGTCGACCATGAACATATACATCAAGGGAGAAGACTTGGAAGTGGAGGAGAATTGC  2735\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||| ||||||||||||| ||||||||| | |  |  | ||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2736  ATTGGCATTTTGCTGGAAGGATTCTTGAAGACCGACAACCTGACTCTAATCACGCCTCCA  2795\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             |||||||| || |||||  ||         ||    || ||||| || || |||      \n",
+      "\n",
+      "Sbjct  2796  GCGGTGCTTCTGCCATCCGAT---------GCTGACTTGGGTCTCGAGTCCTCA------  2840\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "                      ||||||||  ||||||| || || ||||| ||||| || |||||| |||| \n",
+      "\n",
+      "Sbjct  2841  ---------GACTACTGTCATACTGCACCTAGGTATCAGGTGGAAGCTAGAGCACGGATC  2891\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATC-  2879\n",
+      "\n",
+      "             |||||||| ||                |||| ||||||  |  | ||  |||| || || \n",
+      "\n",
+      "Sbjct  2892  ATCTTCTTGGA---------------GGAGGCAGAGGCCCATCTTCATCGAAGTGCGTCG  2936\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2880  -----TTTGTTGTCCCA--------GA----CCCATGAACCTCCTCGGACACTGAGCAAA  2922\n",
+      "\n",
+      "                    || || ||||        ||      ||||| ||  | ||||   ||||||| \n",
+      "\n",
+      "Sbjct  2937  CGGCTGCTGCTGCCCCAAGGGCAAGGAGGAGGTCATGAGCCAACACGGAGCATGAGCAAG  2996\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2923  GAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCCGAGCTGAAATC---  2979\n",
+      "\n",
+      "             ||||| || ||  ||||||| ||||| || |||||||| || ||||| |  | || |   \n",
+      "\n",
+      "Sbjct  2997  GAGCACAGCGGCTTGCTCAGCTGGCCCGAGAGCTTCCGGAGGTCCCGTG--GCAACCTAG  3054\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2980  ----AGAAGC-------CACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGT  3028\n",
+      "\n",
+      "                 || |||       |  |||||| || | ||| | || |||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  3055  GCCTAGCAGCTGAGATGCTGCCGGGCGGCTTGTCTTCCAGGGCCCTGCAACTGAGCATGT  3114\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3029  ACGGAAGCATGATGGTTGACATGCACTCAGGTCAGGGC------CAGAGGCGGCAGCGGC  3082\n",
+      "\n",
+      "             |||| |||||| || |   | |   ||| || ||||||      ||  |||||||| |||\n",
+      "\n",
+      "Sbjct  3115  ACGGCAGCATGGTGAT---CCTCTCCTCCGGCCAGGGCCACTCTCACCGGCGGCAGGGGC  3171\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3083  ATCGTCGCATGCAGG------CAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGC  3136\n",
+      "\n",
+      "              || |||| ||||||      ||||  ||  || ||| ||||||||||| || ||  |||\n",
+      "\n",
+      "Sbjct  3172  GTCATCGCGTGCAGGCGACGACAACAGACCAGAAGCAAAGCTCGTCCTACCCAAGGATGC  3231\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3137  CTTCAAGACAAGCCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "             | || |    | ||||    ||||||||||||||||| || || ||||| | ||||||||\n",
+      "\n",
+      "Sbjct  3232  CATCCA---TATCCAAAGAACGGCCTCTGCTCTCCGTGCAATCAGAGGGCTCCAACATGA  3288\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3197  A-CAGGTTGC----CTGCTTCTCCTACAC--CGC--CT---GCTCCAGCTCCGGTA----  3240\n",
+      "\n",
+      "             | |  || ||    || | ||||  | ||  |||  ||   | |   ||||||| |    \n",
+      "\n",
+      "Sbjct  3289  AGCGAGTGGCAGCTCTACCTCTCAGAGACGACGCTGCTGAGGTTGAGGCTCCGGCAGCCC  3348\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3241  AG-ATCTGAGG----GGA------------TGGAAGACAACAACTCAAGCGACGAGTCTG  3283\n",
+      "\n",
+      "             || | | | ||    |||            || | ||  |||||||||||||||| || |\n",
+      "\n",
+      "Sbjct  3349  AGCAGCGGCGGCGGCGGAAGGCTATGCACTTGCAGGAGGACAACTCAAGCGACGACTCCG  3408\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3284  CAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCT  3343\n",
+      "\n",
+      "             | || || |||||||| ||| |||| ||||| || |||||||| ||||| ||||||||  \n",
+      "\n",
+      "Sbjct  3409  CCGGCGAAGAAGTCATTGTCAGAGTTGACTCGCCCAGCATGCTCTCTTTCCGTCAGTCAG  3468\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3344  CCGGCGC  3350\n",
+      "\n",
+      "             ||| |||\n",
+      "\n",
+      "Sbjct  3469  CCGCCGC  3475\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">NM_001362235.1 Zea mays uncharacterized LOC100383969 (LOC100383969), mRNA\n",
+      "\n",
+      "Length=3635\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3374 bits (3741),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2797/3421 (82%), Gaps = 114/3421 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4     GGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATC  63\n",
+      "\n",
+      "             || ||| |||| |||||| | |||||||||||||||| ||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  95    GGCGAGGCTGAGCCTGACAACGCGGTGCTCTTCGTTGGGGTGTCGCTGGTGCTGGGCATC  154\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  64    GCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTC  123\n",
+      "\n",
+      "             ||||| || ||||| ||||| ||||||||||| ||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  155   GCCTCCCGGCACCTCCTCCGCGGCACCCGCGTGCCCTACACCGTCGCCCTTCTCGTCCTC  214\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  124   GGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCT  183\n",
+      "\n",
+      "             ||||| || || || |||||||| | |||||| | ||||||||| ||||| |||||||||\n",
+      "\n",
+      "Sbjct  215   GGCGTCGCGCTTGGATCCCTCGAGTACGGAACACAACATGGTCTAGGCAAGCTTGGAGCT  274\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  184   GGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCC  243\n",
+      "\n",
+      "             || |||||||| ||||||||||||||||||||||||||| ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  275   GGAATTCGTATCTGGGCTAACATAAACCCTGATCTTCTGCTGGCTGTTTTTCTACCTGCC  334\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  244   CTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAG  303\n",
+      "\n",
+      "             ||| | || |||||||| || || |||||  | |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  335   CTCCTCTTTGAAAGCTCCTTCTCCATGGAAGTACACCAAATAAAGAGATGTATGGCACAG  394\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  304   ATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTA  363\n",
+      "\n",
+      "             |||||| | ||||||||||| |||||  | ||||||||| |||||||||||  |   |||\n",
+      "\n",
+      "Sbjct  395   ATGGTGTTACTTGCTGGACCTGGTGTGCTAATATCAACAGTTTTACTTGGCGTTGCCGTA  454\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  364   AAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTT  423\n",
+      "\n",
+      "             ||| | |||||||| ||||||||||||||||||  ||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  455   AAGCTCACTTTTCCTTACAACTGGAGCTGGAAAACATCATTGTTGCTTGGCGGACTGCTT  514\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  424   AGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAG  483\n",
+      "\n",
+      "             |||||||||||||| ||||||||||||||||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  515   AGTGCAACTGATCCAGTTGCTGTGGTTGCACTGCTAAAAGAACTCGGAGCAAGTAAAAAG  574\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  484   CTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTAT  543\n",
+      "\n",
+      "             || || ||||| ||||| ||||||||  ||||||| |||||||| |||||||||| ||||\n",
+      "\n",
+      "Sbjct  575   CTTAGCACAATCATTGAAGGTGAATCCTTAATGAATGATGGGACCGCTATTGTTGCCTAT  634\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  544   CAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTC  603\n",
+      "\n",
+      "             || ||||| |  ||||||||||| |||||||||||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  635   CAGCTATTCTATCGAATGGTGCTTGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTTC  694\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  604   TTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTA  663\n",
+      "\n",
+      "             || |  |||||| | ||||| ||||||||| ||||||||||||| |||||  | ||| ||\n",
+      "\n",
+      "Sbjct  695   TTGTCTGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGGAATCATGTCAATA  754\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  664   CTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  723\n",
+      "\n",
+      "             ||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755   CTGTGGCTGGGCTTTATTTTTAACGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  814\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  724   AGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTC  783\n",
+      "\n",
+      "             || |||||||||||||||||||| ||||| || |||||||| |||||||||||| |||||\n",
+      "\n",
+      "Sbjct  815   AGTTATATAGCTTTCTTCACTGCACAAGACTCACTGGAGGTCTCTGGTGTTTTGACTGTC  874\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  784   ATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAG  843\n",
+      "\n",
+      "             |||||  |||||||||| |||||||||||||||||||| ||||| |||||||| || |||\n",
+      "\n",
+      "Sbjct  875   ATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGAAAGTCAG  934\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  844   GAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATA  903\n",
+      "\n",
+      "              |||| ||||| ||||| |||||||||||||||||||| |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  935   CAAAGCTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAATACACTTATTTTTATA  994\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  904   TTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACAT  963\n",
+      "\n",
+      "              |||||||||| |||||||||||||||||||||||||||||||  || ||||| || || \n",
+      "\n",
+      "Sbjct  995   CTGAGTGGGGTTGTTATTGCAGATGGTGTTCTACAAAATAATGGCCACTTTGAGAGGCAC  1054\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  964   GGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTA  1023\n",
+      "\n",
+      "             |||| ||| ||||| |||||||||||||| ||| ||||||| | |||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1055  GGCAGTTCATGGGGCTTCCTTCTTCTGCTCTATGTCTTTGTACAAATATCTCGAGTTATA  1114\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1024  GTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAG  1083\n",
+      "\n",
+      "             ||||||||||||||||| ||  ||||| ||| |||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1115  GTTGTTGGTGTTTTGTACCCGATGTTGCGTCACTTTGGGTATGGGTTGGACTTGAAAGAG  1174\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1084  GCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCT  1143\n",
+      "\n",
+      "             ||||| |||||||| |||||||||||| |||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1175  GCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTATCT  1234\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1144  GTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTT  1203\n",
+      "\n",
+      "             ||||| ||||| || ||| |||| ||| |||| ||  |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1235  GTTAAGCGTACCAGCGATTCAGTTCAACCTTACCTTAAACCAGAAGTTGGAACAATGTTT  1294\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1204  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAA  1263\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||| | ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1295  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTTTTAATGGCTCAACCACACAA  1354\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1264  TTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAA  1323\n",
+      "\n",
+      "             |||||  ||||||| || |||||||||||| |||   | |||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1355  TTTTTGCTACATATACTCGGCATGGACAAATTGTTGCCCACAAAGCTTCGTATATTGAAA  1414\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1324  TATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGAT  1383\n",
+      "\n",
+      "             ||||||||  | |||||||| || ||||||||||||||||||||||| || |||||||| \n",
+      "\n",
+      "Sbjct  1415  TATACAAGGTACGAAATGCTAAAGAAAGCATTAGAGGCTTTTGGTGAACTAAGGGATGAC  1474\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1384  GAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || || |||||||||||||| ||||||||||||||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  1475  GAGGAACTTGGACCTGCTGACTGGGTTACTGTAAAGAAATATATCACATGTTTGAATGAC  1534\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "              | ||  |||| |||||||||||||||||  |   |||| | |||  | ||||||||| |\n",
+      "\n",
+      "Sbjct  1535  CTAGACTATGAGCCAGAGCATCCCCATGATGTTGGTGACGAAGATGACTGCATGCATATC  1594\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| |||  ||||||||||| |||||| |||||||||| ||||| || || ||||||\n",
+      "\n",
+      "Sbjct  1595  ATGAACTTAACAGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCCGCGTACTGGGGA  1654\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| |||||||||||||||| |||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1655  ATGCTTGAAGAAGGACGAATAACTCAAGTTACAGCAAATATTCTGATGAGATCGGTTGAT  1714\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||||||| | ||  ||||| | |||||||||||| | |||||| | ||||||\n",
+      "\n",
+      "Sbjct  1715  GAAGCTATGGACCTTGTTTCTGGACAAACATTATGTGATTGGAAAGGTTTAAAGTCCAAT  1774\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || |||||||| ||||||||||| ||||| |||| ||| ||||| |||||||||||  ||\n",
+      "\n",
+      "Sbjct  1775  GTGCAGTTCCCAAATTACTATAGGTTCCTTCAGAGGAGTAGGTTACCACGAAAGCTTGTC  1834\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             |||||||||||||| |||||||| ||||| ||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  1835  ACATACTTCACAGTCGAAAGATTAGAGTCTGGATGTTACATCTGTGCTGCATTTCTTCGT  1894\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  |||||||| ||||| |||||||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  1895  GCTCACAGAATCGCAAGGCGGCAGCTACATGATTTTCTTGGTGATAGTGAGGTTGCAAGA  1954\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             |||||||||||||||||||| ||||||||||||||||||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  1955  ACTGTTATTGATGAAAGTAACGCTGAGGGGGAGGAAGCTAGAAAATTCTTGGAAGATGTT  2014\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             || ||||| ||||||||||||||||| ||||||||| | ||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  2015  CGAGTTACATTCCCGCAGGTGCTACGAGTGCTAAAGACACGACAAGTCACATATTCTGTG  2074\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "              |||||||| ||||||||||||||||||||||||||||||| ||| ||||||| || |||\n",
+      "\n",
+      "Sbjct  2075  CTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGCTGCTGGAAGAGAAG  2134\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             |||||| | ||||||||||||||| ||||||||||||| ||||| ||| | |||||||||\n",
+      "\n",
+      "Sbjct  2135  GAAATGGTCCATTTAGATGATGCTCTGCAGACAGACTTGAAGAAGTTGCAGAGGAATCCA  2194\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             || || |||||||||||||||||  |||||||| | ||||| ||||||||||| || || \n",
+      "\n",
+      "Sbjct  2195  CCAATAGTGAAAATGCCAAGAGTCAGTGATCTTCTGAACACTCATCCTTTAGTTGGCGCG  2254\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||    ||||||| ||||  |||| ||||| || |||||  | |||||||| \n",
+      "\n",
+      "Sbjct  2255  CTGCCTGCTGCTGTACGTGATACTTTGCTAAGCAATACGAAGGAAACCCTGCGAGGGCAG  2314\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || |  || ||||  ||||| || ||||| || ||| | ||||||||||| || |||\n",
+      "\n",
+      "Sbjct  2315  GGCACAACGCTGTATAGAGAAGGATCCAGGCCAACCGGTATCTGGCTTGTTTCTATTGGT  2374\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             |||||||||||| ||||||||||| ||||||| |||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  2375  GTAGTGAAGTGGACAAGTCAGAGATTAAGCAGAAGGCATTCCTTGGATCCAATTTTATCG  2434\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||| ||||| | || |||||||||||||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2435  CATGGGAGCACTCTGGGTCTGTATGAGGTGCTGATTGGAAAGCCATATATCTGTGACATG  2494\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |  ||||||||  |||| || ||||||||  | ||| |||||||||| ||  | || |  \n",
+      "\n",
+      "Sbjct  2495  ACCACAGATTCGATGGTACAGTGTTTCTTCATCGAAACTGAAAAGATAGAAGAGCTGCTC  2554\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             || || |||||||| |||||| |||||||||||||||||||  | || ||  ||||||||\n",
+      "\n",
+      "Sbjct  2555  CATTCAGATCCTTCGATTGAGATTTTCCTGTGGCAGGAAAGTGCTCTGGTGCTTGCCAGG  2614\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             |||||  | ||||| | ||| |||||||||| |||||||||||| ||||| ||  |||||\n",
+      "\n",
+      "Sbjct  2615  CTTTTGGTCCCTCATAGATTCGAGAAAATGGGAATGCATGAGATGAGGGTTCTGGTTGCT  2674\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||||||||| |||||| ||||||| ||||| |||||| | ||| ||||| | | || |\n",
+      "\n",
+      "Sbjct  2675  GAAAGGTCGACGATGAACATATACATCAAGGGAGAAGACTTGGAAGTGGAGCAGAATTGC  2734\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||| |||||||||| || ||||||| | |||  |  | ||||||||| || |||\n",
+      "\n",
+      "Sbjct  2735  ATTGGCATTTTGCTGGAAGGGTTCTTGAAGATCGAGAACCTGACTCTCATCACGCCCCCA  2794\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             ||| |||| || |||| ||||    ||||   | |||| ||||| || || |||      \n",
+      "\n",
+      "Sbjct  2795  GCGTTGCTTCTGCCATGGAATGCTGACTTGAGCTTATTCGGTCTCGAGTCCTCA------  2848\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "                      ||||||||| ||||||| | ||| ||||| ||||| || |||||  |||| \n",
+      "\n",
+      "Sbjct  2849  ---------GACTACTGCCATACTGCACGCAGGTATCAGGTGGAAGCCAGAGCGCGGATC  2899\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTG-ACATC--------CAGAGA  2871\n",
+      "\n",
+      "             |||||||| ||               ||||| |||||| |  ||||        |||| |\n",
+      "\n",
+      "Sbjct  2900  ATCTTCTTCGA---------------CGAGGCAGAGGCCGCCCATCTTCATGTTCAGACA  2944\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2872  AGCGCATCTTTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGT  2931\n",
+      "\n",
+      "             || || ||   | || ||||      ||| ||  | ||||   ||||||| ||||| || \n",
+      "\n",
+      "Sbjct  2945  AGTGCGTC---GCTGCCCCA---AGGTGAGCCAGCACGGAGCATGAGCAAGGAGCACAGC  2998\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2932  GGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCCGAG-----CTGAAATCAGAAGC-  2985\n",
+      "\n",
+      "             ||  ||||||| ||||| || |||||||| || || || |     ||    | || ||| \n",
+      "\n",
+      "Sbjct  2999  GGCTTGCTCAGCTGGCCCGAGAGCTTCCGGAGGTCTCGTGGCAGCCTAGGCTTAGCAGCT  3058\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2986  ------CACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATG  3039\n",
+      "\n",
+      "                   |  |||||| || | ||| | || |||||||| ||||||||||||||  |||  \n",
+      "\n",
+      "Sbjct  3059  GAGATGCTGCCGGGCGGCTTGTCTTCCAGGGCCCTGCAACTGAGCATGTACGGGGGCAGC  3118\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3040  ATGGTTGACATGCACTCAGG---TCAGGGCCAGAGGCGGCAGCGG---CATCGTCGCATG  3093\n",
+      "\n",
+      "              ||||   | |   ||| ||    ||||| ||  |||||||| ||   | || |||| ||\n",
+      "\n",
+      "Sbjct  3119  GTGGTGAGCCTCTCCTCCGGCCAGCAGGGTCACCGGCGGCAGAGGCCACGTCATCGCGTG  3178\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3094  CAGGCAACCA--ACG-------------CGAGGCACAGCTCGTCCTATCCCAGAGTGCCT  3138\n",
+      "\n",
+      "             |||||  |||  |||              || ||||||||| ||||| |||||  |||| \n",
+      "\n",
+      "Sbjct  3179  CAGGCGGCCACGACGATGACAAACCAGAAGAAGCACAGCTCTTCCTACCCCAGGATGCCA  3238\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3139  TCAAGACAAGCCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAAC  3198\n",
+      "\n",
+      "             || |    | ||||   ||||| |||||||||||| ||||||||||| | ||||||||| \n",
+      "\n",
+      "Sbjct  3239  TCCA---TATCCAAGGAGCGGCATCTGCTCTCCGTGCAGTCGGAGGGCTCCAACATGAAG  3295\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3199  AGGTTGCCTGCTTCTCCT----------ACACCG--CCTGCTCCAGCTCCGGTA----AG  3242\n",
+      "\n",
+      "             ||  || | |||   |||           |||||  |||||||| ||   || |    ||\n",
+      "\n",
+      "Sbjct  3296  AGAGTGGCAGCTCTACCTGAGGTTGCTGCCACCGCTCCTGCTCCGGCAGGGGCAGCACAG  3355\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3243  ----ATCTGAGGG----------GATGGAAGACAACAACTCAAGCGACGAGTCTGCAGGG  3288\n",
+      "\n",
+      "                 | | |||||          |  ||| ||  ||||||| ||||| || || || || \n",
+      "\n",
+      "Sbjct  3356  GGGCAGCGGAGGGCTATGAACTTGCAGGAGGAATACAACTCGAGCGAAGACTCCGCCGGC  3415\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3289  GAGGAAGTCATCGTCCGAGTCGACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             || |||||||||||| |||| ||||| || |||||||| ||||| ||| ||||| ||| |\n",
+      "\n",
+      "Sbjct  3416  GAAGAAGTCATCGTCAGAGTTGACTCGCCCAGCATGCTCTCTTTCCGTGAGTCCACCGCC  3475\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3349  G  3349\n",
+      "\n",
+      "             |\n",
+      "\n",
+      "Sbjct  3476  G  3476\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">MH992127.1 Saccharum officinarum x Saccharum spontaneum isolate Bio salt \n",
+      "\n",
+      "overly sensitive mRNA, complete cds\n",
+      "\n",
+      "Length=3408\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3371 bits (3738),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2798/3423 (82%), Gaps = 117/3423 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4     GGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATC  63\n",
+      "\n",
+      "             || |||  ||| ||||| || ||||||||||| |||| ||| || ||||||||||| |||\n",
+      "\n",
+      "Sbjct  7     GGCGAGGGTGAGCCTGAGGACGCGGTGCTCTTTGTTGGGGTGTCACTGGTGCTGGGCATC  66\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  64    GCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTC  123\n",
+      "\n",
+      "             | ||| |||||||| ||||| |||||||||||||||||||||||  |||||||| |||||\n",
+      "\n",
+      "Sbjct  67    GGCTCCCGCCACCTCCTCCGCGGCACCCGCGTCCCCTACACCGTCTCCCTTCTCGTCCTC  126\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  124   GGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCT  183\n",
+      "\n",
+      "             || || || || || |||||||||| |||||| | ||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  127   GGAGTCGCGCTTGGATCCCTCGAATACGGAACACAACATGGTCTAGGCAAACTTGGAGCT  186\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  184   GGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCC  243\n",
+      "\n",
+      "             || |||||||| ||||||||||||||||||||||||||| ||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  187   GGAATTCGTATCTGGGCTAACATAAACCCTGATCTTCTGCTGGCTGTTTTTTTACCTGCC  246\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  244   CTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAG  303\n",
+      "\n",
+      "             ||| | || |||||||| || || |||||  | |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  247   CTCCTCTTTGAAAGCTCCTTCTCCATGGAAGTACACCAAATAAAGAGATGTATGGCACAG  306\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  304   ATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTA  363\n",
+      "\n",
+      "             |||||| | ||||||||||||||||| || ||||||||| ||||||||||| ||  ||||\n",
+      "\n",
+      "Sbjct  307   ATGGTGTTACTTGCTGGACCAGGTGTGGTAATATCAACAGTTTTACTTGGCGCTGCTGTA  366\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  364   AAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTT  423\n",
+      "\n",
+      "             ||| | |||||||| ||||||||||||||||||  ||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  367   AAGCTCACTTTTCCTTACAACTGGAGCTGGAAAACATCATTGTTGCTTGGCGGACTGCTT  426\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  424   AGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAG  483\n",
+      "\n",
+      "             |||||||||||||| ||||||||||||||||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  427   AGTGCAACTGATCCAGTTGCTGTGGTTGCACTGCTAAAAGAACTCGGAGCAAGTAAAAAG  486\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  484   CTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTAT  543\n",
+      "\n",
+      "             || |||||||| ||||||||||||||  ||||||| |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  487   CTTAGTACAATCATTGAGGGTGAATCCTTAATGAATGATGGGACCGCTATTGTTGTCTAT  546\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  544   CAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTC  603\n",
+      "\n",
+      "             ||  |||| |  ||||||||||| || | ||||||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  547   CAGTTATTCTATCGAATGGTGCTTGGGAAAACCTTTGATGCTGGCTCAATAATAAAGTTC  606\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  604   TTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTA  663\n",
+      "\n",
+      "             || |  |||||| | ||||| ||||||||| ||||||||||||| ||||| || ||| ||\n",
+      "\n",
+      "Sbjct  607   TTGTCTGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGGAATCGTGTCAATA  666\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  664   CTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  723\n",
+      "\n",
+      "              |||||||||||||||||||||| ||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  667   TTGTGGCTGGGCTTTATTTTTAACGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  726\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  724   AGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTC  783\n",
+      "\n",
+      "             ||||||||||||||||||||||| ||||| || |||||||| |||||||||||| | |||\n",
+      "\n",
+      "Sbjct  727   AGCTATATAGCTTTCTTCACTGCGCAAGACTCACTGGAGGTCTCTGGTGTTTTGACCGTC  786\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  784   ATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAG  843\n",
+      "\n",
+      "             |||||  |||||||||| |||||||||||||||||||| |||||||||||||| || |||\n",
+      "\n",
+      "Sbjct  787   ATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTCAAGGGTGAAAGTCAG  846\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  844   GAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATA  903\n",
+      "\n",
+      "              |||||||||| ||||| |||||||||||||||||||| ||||| || ||||||||||||\n",
+      "\n",
+      "Sbjct  847   CAAAGTTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTTATA  906\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  904   TTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACAT  963\n",
+      "\n",
+      "              |||||||||| |||||||||||||| ||||||||||||||||  || ||||| |  || \n",
+      "\n",
+      "Sbjct  907   CTGAGTGGGGTTGTTATTGCAGATGGCGTTCTACAAAATAATGCCCACTTTGAGAAGCAC  966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  964   GGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTA  1023\n",
+      "\n",
+      "             |||| ||| ||||| |||||||| ||||| ||| ||||||| | |||||| ||| || ||\n",
+      "\n",
+      "Sbjct  967   GGCAGTTCATGGGGCTTCCTTCTGCTGCTCTATGTCTTTGTACAAATATCTCGACTTATA  1026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1024  GTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAG  1083\n",
+      "\n",
+      "             ||||||||||||||||| ||||||||| ||| |||||||||||| ||||||| |||||||\n",
+      "\n",
+      "Sbjct  1027  GTTGTTGGTGTTTTGTACCCATTGTTGCGTCACTTTGGGTATGGGTTGGACTGGAAAGAG  1086\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1084  GCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCT  1143\n",
+      "\n",
+      "             ||||| |||||||| |||||||||||| |||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1087  GCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTATCT  1146\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1144  GTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTT  1203\n",
+      "\n",
+      "             ||||| ||||| || |||||||| ||| |||| ||  |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1147  GTTAAGCGTACCAGCGATGCAGTTCAACCTTACCTTAAACCAGAAGTTGGAACAATGTTT  1206\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1204  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAA  1263\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||| | ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1207  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTTTTAATGGCTCAACCACACAA  1266\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1264  TTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAA  1323\n",
+      "\n",
+      "             |||||  |||||||||| |||||||||||| |||| || |||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1267  TTTTTGCTACATATGCTCGGCATGGACAAATTGTCGGCCACAAAGCTTCGTATATTGAAA  1326\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1324  TATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGAT  1383\n",
+      "\n",
+      "             ||||||||| |||||||||| ||||||||||||||||||||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  1327  TATACAAGATATGAAATGCTAAACAAAGCATTAGAGGCTTTTGGTGAGCTAAGGGATGAC  1386\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1384  GAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || || |||||||||||||| ||| ||||||||||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  1387  GAGGAACTTGGACCTGCTGACTGGATTACTGTAAAGAAATATATCACATGTTTGAATGAC  1446\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGA---CATTGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "              | ||  |||| |||||||||||||||||   |  || ||| |||  ||||||||||| |\n",
+      "\n",
+      "Sbjct  1447  CTAGACAATGAGCCAGAGCATCCCCATGATGTCGGTGGCAAAGATGACCGCATGCATATC  1506\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| |||  ||||||||||| |||||| |||||||||| |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  1507  ATGAACTTAACAGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGA  1566\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||||||||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1567  ATGCTTGAAGAAGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCGGTTGAT  1626\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||| ||| | ||| | ||| | |||||||||||| | |||||| | || |||\n",
+      "\n",
+      "Sbjct  1627  GAAGCTATGGATCTTGTTTCCGGGCAAACATTATGTGATTGGAAAGGTTTAAAGTCTAAT  1686\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             ||||||||||| ||||| ||||| ||||| |||||||| ||||| |||||||||||  ||\n",
+      "\n",
+      "Sbjct  1687  GTCCAGTTCCCAAATTATTATAGGTTCCTTCAGATGAGTAGGTTACCACGAAAGCTTCTC  1746\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             |||||||||||||| |||||||| ||||| ||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  1747  ACATACTTCACAGTCGAAAGATTAGAGTCTGGATGTTACATCTGTGCTGCATTTCTTCGT  1806\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  |||||||| ||||| |||||||||||||| ||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  1807  GCTCACAGAATCGCAAGGCGGCAGCTTCATGATTTTCTTGGCGATAGTGAGGTTGCAAGA  1866\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             ||||||||| |||||||||| |||||||| |||||||||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  1867  ACTGTTATTAATGAAAGTAACGCTGAGGGAGAGGAAGCTAGAAAATTCTTGGAAGATGTT  1926\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             || ||||| ||||||||||||||||| ||||||||| | ||||| ||||||||| | || \n",
+      "\n",
+      "Sbjct  1927  CGAGTTACATTCCCGCAGGTGCTACGAGTGCTAAAGACACGACAAGTCACATATCCTGTG  1986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "              |||||||| ||||||||||||||||||||||||||||||| ||| ||||||| || |||\n",
+      "\n",
+      "Sbjct  1987  CTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGCTGCTGGAAGAGAAG  2046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             |||||| | || |||||||||||| ||||||||||||| ||||| ||  | |||||||||\n",
+      "\n",
+      "Sbjct  2047  GAAATGGTCCAGTTAGATGATGCTCTGCAGACAGACTTGAAGAAGTTTCAGAGGAATCCA  2106\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             || || ||||||||||||||| |  |||| ||| | ||||| ||||||||||| || || \n",
+      "\n",
+      "Sbjct  2107  CCAATAGTGAAAATGCCAAGAATCAGTGACCTTCTGAACACTCATCCTTTAGTTGGAGCG  2166\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||     |||||||||||  |||| |||||||| ||||| || |||||||| \n",
+      "\n",
+      "Sbjct  2167  CTGCCTGCTGCTGTGCGTGATCCTTTGCTAAGAAATACAAAGGAAACCGTGCGAGGGCAG  2226\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || ||    || || | |||||| || ||||| || ||| ||||||||||||| || |||\n",
+      "\n",
+      "Sbjct  2227  GGCACAGCGCTGTACAGGGAAGGATCCAGGCCAACCGGTATATGGCTTGTTTCTATTGGT  2286\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| ||||||||||| ||||||| ||||||| ||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  2287  GTAGTAAAGTGGACAAGTCAGAGATTAAGCAGAAGGCATTGCTTAGATCCAATTCTATCA  2346\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || |||| |||||||||||| || |||||||||||||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2347  CATGGAAGCACTTTGGGTTTGTATGAGGTGCTGATTGGAAAGCCATATATCTGTGACATG  2406\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |  || ||||| ||||  || ||||||||  | | | |||||||||| |   | || || \n",
+      "\n",
+      "Sbjct  2407  ACCACGGATTCAGTGGCACACTGTTTCTTCATTGGAACTGAAAAGATAGGAGAGCTGCGC  2466\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             || || |||||||| || |||||||||||||||||||||||| | || ||  |||  |||\n",
+      "\n",
+      "Sbjct  2467  CATTCAGATCCTTCGATGGAGGTTTTCCTGTGGCAGGAAAGCGCTCTGGTGCTTGTTAGG  2526\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||||| || ||||  ||||| |||||||||| ||||| |||||| ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2527  CTTTTGCTCCCTCGCATATTCGAGAAAATGGGAATGCGTGAGATGAGGGTTCTCATAGCT  2586\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||||||||| |||||| ||||||  ||||| |||||||  ||| ||||| | | || |\n",
+      "\n",
+      "Sbjct  2587  GAAAGGTCGACGATGAACATATACACCAAGGGAGAAGACACGGAAGTGGAGCAGAATTGC  2646\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||| ||||||||||||| ||||||||| |||  |  | ||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2647  ATTGGCATTTTGCTGGAAGGATTCTTGAAGACCGAGAACCTGACTCTAATCACGCCTCCA  2706\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             |||||||| || |||||||||    ||||   | | || ||||| || || |||      \n",
+      "\n",
+      "Sbjct  2707  GCGGTGCTTCTGCCATCGAATGCTGACTTGAGCTTTTTCGGTCTCGAGTCCTCA------  2760\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "                      ||||||||| |||| || | ||| ||||| ||||| || |||||  |||| \n",
+      "\n",
+      "Sbjct  2761  ---------GACTACTGCCATACCGCACGCAGGTATCAGGTGGAAGCTAGAGCGCGGATC  2811\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATC-  2879\n",
+      "\n",
+      "             |||||||| |    |||| |     | ||||   |   | |  | ||  |||| || || \n",
+      "\n",
+      "Sbjct  2812  ATCTTCTTCG----AGGAGG-----CAGAGGCCCATCTTCATCTTCATGGAAGTGCGTCG  2862\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2880  -----TTTGTTGTCCCA--GAC----------CCATGAACCTCCTCGGACACTGAGCAAA  2922\n",
+      "\n",
+      "                    || || ||||  |||          |||||| ||  | ||||   ||||||| \n",
+      "\n",
+      "Sbjct  2863  CGGCTGCTGCTGCCCCAAGGACAAGGAGGAGGCCATGAGCCAGCACGGAGCATGAGCAAG  2922\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2923  GAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCC--------------  2968\n",
+      "\n",
+      "             ||||| || ||  ||||||| ||||| || |||||||| || ||||              \n",
+      "\n",
+      "Sbjct  2923  GAGCACAGCGGCTTGCTCAGCTGGCCCGAGAGCTTCCGGAGGTCCCATGGCAGCCTAGGC  2982\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2969  -GAGCTGAAATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATG  3027\n",
+      "\n",
+      "               |||||   | ||| ||||    ||| || | ||| | || |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  2983  GTAGCTG--CTGAGATGCCA----GGCGGCTTGTCTTCCAGGGCCCTGCAGCTGAGTATG  3036\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3028  TACGGAAGCATGAT--GGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATC  3085\n",
+      "\n",
+      "             ||||| |||||| |  |  |  | | |   |||  ||||| ||  |||||||| ||| ||\n",
+      "\n",
+      "Sbjct  3037  TACGGCAGCATGGTGAGCCTCTCCTCCGGCCAG--CAGGGTCACCGGCGGCAGAGGCGTC  3094\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3086  GTCGCATGCAGG------CAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTT  3139\n",
+      "\n",
+      "              |||| ||||||      | || |||  || ||||||||| ||||| || ||| |||| |\n",
+      "\n",
+      "Sbjct  3095  ATCGCGTGCAGGCGACGACGACAAACCAGAAGCACAGCTCCTCCTACCCAAGAATGCCGT  3154\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3140  CAAGACAAGCCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAACA  3199\n",
+      "\n",
+      "                      ||||   |||||||||||||||||| ||||||||||| | ||||||||   \n",
+      "\n",
+      "Sbjct  3155  ---------CCAAGGAGCGGCCTCTGCTCTCCGTGCAGTCGGAGGGCTCCAACATGAGGC  3205\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3200  GGTTGCCTGCTTCTCCT-------ACACCGC--------------CTGCTCCAGCTCCGG  3238\n",
+      "\n",
+      "             |  || | |||   |||       || | ||              | ||||| |||||||\n",
+      "\n",
+      "Sbjct  3206  GAGTGGCAGCTCTACCTCTAAGAGACGCTGCTGAGGTTGCTGCCACCGCTCCTGCTCCGG  3265\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3239  TA----AG----ATCTGAGGG--GATGGAAGACAACAACTCAAGCGACGAGTCTGCAGGG  3288\n",
+      "\n",
+      "             ||    ||    | | || ||  |  ||| ||  || |||| |||||||| ||  | || \n",
+      "\n",
+      "Sbjct  3266  TAGCCCAGCGGCAGC-GACGGTTGCAGGAGGAAGACGACTCGAGCGACGACTCCACCGGC  3324\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3289  GAGGAAGTCATCGTCCGAGTCGACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             || |||||||||||| |||| || || || |||||||| ||||| |||||| || ||| |\n",
+      "\n",
+      "Sbjct  3325  GAAGAAGTCATCGTCAGAGTTGATTCGCCCAGCATGCTCTCTTTCCGTCAGCCCGCCGCC  3384\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3349  GCG  3351\n",
+      "\n",
+      "             |||\n",
+      "\n",
+      "Sbjct  3385  GCG  3387\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">MG602252.1 Oryza sativa Indica Group cultivar Pokkali salt overly sensitive \n",
+      "\n",
+      "1 (SOS1) mRNA, complete cds\n",
+      "\n",
+      "Length=3447\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3356 bits (3721),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2683/3235 (83%), Gaps = 51/3235 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7     GAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCC  66\n",
+      "\n",
+      "             ||| | || ||||| || |||||||||||||| | |||||| || || || || ||||||\n",
+      "\n",
+      "Sbjct  13    GAGGCGGAGCCTGATGACGCGGTGCTCTTCGTCGGGGTCTCCCTCGTCCTCGGCATCGCC  72\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  67    TCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGC  126\n",
+      "\n",
+      "             || |||||||| ||||| ||||||||||||||||||||||| ||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  73    TCCCGCCACCTCCTCCGGGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGC  132\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  127   GTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGC  186\n",
+      "\n",
+      "             || |||||||| || |||||||| || ||   |||||| ||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  133   GTCGCCCTCGGATCGCTCGAATTTGGCACAAAACATGGCCTGGGCAAACTCGGAGCCGGC  192\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  187   ATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTC  246\n",
+      "\n",
+      "             |||||||| ||||||||||| || |||||||||||  |||||||||||||||| || || \n",
+      "\n",
+      "Sbjct  193   ATTCGTATCTGGGCTAACATTAATCCTGATCTTCTTCTGGCTGTTTTTCTACCCGCTCTT  252\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  247   TTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATG  306\n",
+      "\n",
+      "              | || ||||| || ||||| ||||| || ||||||||||||| |||||||||||| |||\n",
+      "\n",
+      "Sbjct  253   CTTTTTGAAAGTTCCTTTTCCATGGAAATACACCAAATCAAGAAATGTATGGCACAAATG  312\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  307   GTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAG  366\n",
+      "\n",
+      "             ||| | ||||||||||| |||||  | ||||||||  |||| || ||| ||  | |||||\n",
+      "\n",
+      "Sbjct  313   GTGTTACTTGCTGGACCTGGTGTGCTAATATCAACCTTTTTCCTAGGCTCTGCTCTAAAG  372\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  367   GTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGT  426\n",
+      "\n",
+      "              | ||||||||||||||||||| |||||||  ||||||||||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  373   CTCACTTTTCCATACAACTGGAACTGGAAAACATCATTGTTGCTTGGTGGATTGCTTAGT  432\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  427   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTC  486\n",
+      "\n",
+      "             |||||||| || |||||||| ||||||||||||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  433   GCAACTGACCCCGTTGCTGTTGTTGCACTGCTAAAAGAACTTGGCGCAAGTAAAAAGCTT  492\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  487   AGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAA  546\n",
+      "\n",
+      "             ||||| ||||||||||| |||||  ||||||| |||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  493   AGTACCATAATTGAGGGAGAATCCTTAATGAATGATGGGACTGCTATTGTTGTGTATCAG  552\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  547   CTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTA  606\n",
+      "\n",
+      "              |||| |   | |||||||| |||||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  553   TTATTCTATAGGATGGTGCTTGGAAGAACTTTCGATGCAGGATCAATAATAAAATTCTTG  612\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  607   TTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTG  666\n",
+      "\n",
+      "             |  |||||| | ||||| ||||||||| |||||||||| || ||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  613   TCAGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCTTTTGGAATTGCATCAGTACTG  672\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  667   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGC  726\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  673   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATCGCGCTTACTCTTGCTGTCAGC  732\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  727   TATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATG  786\n",
+      "\n",
+      "             || || |||||||||||||| |||||| | |||||||| |||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  733   TACATTGCTTTCTTCACTGCACAAGATGCACTGGAGGTCTCTGGTGTTTTGACCGTCATG  792\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  787   ACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAA  846\n",
+      "\n",
+      "             ||  |||||||||| ||||| |||||||||||||| ||||| |||||||| || ||| ||\n",
+      "\n",
+      "Sbjct  793   ACACTGGGAATGTTCTATGCCGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAA  852\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  847   AGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTG  906\n",
+      "\n",
+      "             || || |||||||| ||||||||||||||||| || ||||| || ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  853   AGCTTGCATCATTTCTGGGAAATGGTTGCTTATATAGCAAACACACTTATATTTATACTG  912\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  907   AGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGC  966\n",
+      "\n",
+      "             |||||||| |||||||||||||| || ||| |||||||||| ||||| || || || || \n",
+      "\n",
+      "Sbjct  913   AGTGGGGTTGTTATTGCAGATGGAGTACTAGAAAATAATGTCCATTTCGAGAGGCACGGT  972\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  967   ACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTT  1026\n",
+      "\n",
+      "              |||| ||||| |||||||||||||| ||| | ||||| | ||| || ||  |  |||||\n",
+      "\n",
+      "Sbjct  973   GCTTCATGGGGCTTCCTTCTTCTGCTCTATGTATTTGTGCAAATTTCTCGGATATTAGTT  1032\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1027  GTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCC  1086\n",
+      "\n",
+      "             |||| | ||||||||||||||||| | | ||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1033  GTTGTTATTTTGTATCCATTGTTGCGCCACTTTGGGTATGGTTTGGACTTGAAAGAAGCC  1092\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1087  ATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTT  1146\n",
+      "\n",
+      "             | ||||||||| ||| | || ||| |||||||||||||||| || |||||||||||||||\n",
+      "\n",
+      "Sbjct  1093  ACAATTCTTGTTTGGGCGGGACTGCGAGGGGCTGTTGCTCTGTCTCTATCATTATCTGTT  1152\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1147  AAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTG  1206\n",
+      "\n",
+      "             || ||| | ||||||||||| || ||  ||||| ||||||  |  |||||||||||||||\n",
+      "\n",
+      "Sbjct  1153  AAGCGTGCTAGTGATGCAGTTCAGACCCATCTGAAACCAGTTGACGGAACAATGTTTGTG  1212\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1207  TTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTT  1266\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||||||||| | |||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  1213  TTCTTCACTGGTGGCATCGTGTTTTTGACATTGATTTTTAATGGTTCTACTACACAATTT  1272\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1267  TTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATAT  1326\n",
+      "\n",
+      "             || || ||| | ||||| ||||||| | |  ||||||||||| |||| |||||||| |||\n",
+      "\n",
+      "Sbjct  1273  TTGTTGCATCTACTTGGAATGGACAGATTAGCAGCAACAAAGCTTCGCATATTGAATTAT  1332\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1327  ACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAA  1386\n",
+      "\n",
+      "             |||| | |||||||||| ||||| ||||| |||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  1333  ACAAAATATGAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGATGATGAG  1392\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1387  GAGCTTGG---ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || |||||    |||||||||||||||||||||||||||||||| ||||| ||| |||||\n",
+      "\n",
+      "Sbjct  1393  GAACTTGGTCCTCCTGCTGATTGGGTTACTGTAAAGAAATATATCACATGCTTGAATGAC  1452\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||| ||||| || | |||||| ||||   |   |||||   ||   ||||||||||||\n",
+      "\n",
+      "Sbjct  1453  TTGGACGATGAGCCTGTGCATCCTCATGCTGTTTCTGACAGAAATGATCGCATGCATACC  1512\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| ||||||| ||||| || |||||||| |||||||| |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  1513  ATGAACTTAAGGGACATCCGTGTGCGGCTTCTAAATGGTGTCCAAGCTGCTTACTGGGGA  1572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||||| || ||||||||| | |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1573  ATGCTTGAAGAAGGACGAATAACTCAAGCCACTGCAAATATTTTAATGAGATCGGTTGAT  1632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||| ||| |  | |  |||   |||||||| ||| ||||||| |  ||||||\n",
+      "\n",
+      "Sbjct  1633  GAAGCTATGGATCTTGTTCCTACCCAAGAATTATGTGACTGGAAGGGTTTGCGGTCCAAT  1692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             ||||| || || ||||||||||| ||||| || ||||||||||||||||||| ||| |||\n",
+      "\n",
+      "Sbjct  1693  GTCCATTTTCCAAATTACTATAGGTTCCTTCAAATGAGCAGGTTGCCACGAAGGCTTATC  1752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             || |||||||||||||||||| ||||||||||||||||||| | |||||||||||| |||\n",
+      "\n",
+      "Sbjct  1753  ACTTACTTCACAGTAGAAAGACTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTCCGT  1812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||| ||||  ||||| || ||||| ||||| |||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  1813  GCTCATAGAATCGCAAGACGGCAGCTACATGACTTTCTTGGTGATAGTGAGGTTGCAAGA  1872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             | ||||||||||||||||||||||||||| ||||| |||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  1873  ATTGTTATTGATGAAAGTAATGCTGAGGGAGAGGAGGCTAGAAAATTCTTGGAAGATGTT  1932\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             |||||||| ||||| |||||||| |||||||| ||| | ||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  1933  CGTGTTACATTCCCTCAGGTGCTTCGTGTGCTGAAGACTCGACAAGTAACATATTCGGTA  1992\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             ||||| ||| ||||||||||||||||||| ||||||||||| ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1993  TTGACCCACTTGAGTGAGTATATTCAAAATCTCCAGAAGACTGGGTTGCTGGAAGAAAAG  2052\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             ||||||   ||| ||||||||||||||||||||||||| ||||| || || |||||||||\n",
+      "\n",
+      "Sbjct  2053  GAAATGGCCCATCTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTCAAGAGGAATCCA  2112\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  |||| ||||||||||||||  |||||||||| ||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2113  CCATTGGTAAAAATGCCAAGAGTCAGTGATCTTTTGAACACTCATCCGTTAGTTGGTGCA  2172\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||  |  |||||||||||||||| ||  ||||| ||||| |||  ||| |||\n",
+      "\n",
+      "Sbjct  2173  CTGCCTGCTGCGATGCGTGATCCTTTATTAAATAGCACAAAGGAAACAGTAAAAGGACAT  2232\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || || |||||||  || ||||||||||| |||||| ||||||||||||| || || \n",
+      "\n",
+      "Sbjct  2233  GGCACAATCCTTTATAGAGAGGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGA  2292\n",
+      "\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| ||||||||||| |||||||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2293  GTAGTAAAGTGGACAAGTCAGAGATTAAGCAGCAGGCATTCATTGGATCCAATTTTATCA  2352\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||||||||  | || ||||||||||||||||| || ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2353  CATGGCAGCACTTTGGGCCTGTATGAGGTGCTGATTGGAAAACCTTATATCTGTGACATG  2412\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |||||||||||||||||||| || |||||  | |||||||||||||| |||||| | |||\n",
+      "\n",
+      "Sbjct  2413  ATTACAGATTCTGTGGTGCACTGCTTCTTCATTGAAGCTGAAAAGATAGAGCAATTGCGT  2472\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             ||||| ||||||||||||||| |||| ||||||||||||||  | |||||  ||||||||\n",
+      "\n",
+      "Sbjct  2473  CAATCAGATCCTTCTATTGAGATTTTTCTGTGGCAGGAAAGTGCTCTAGTCGTTGCCAGG  2532\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||||| || |||  ||| ||||||||||||||||  |||||| ||||||| |||||  ||\n",
+      "\n",
+      "Sbjct  2533  CTTTTGCTCCCTATGATGTTTGAGAAAATGGCAACACATGAGCTCAGGGTTCTCATCACT  2592\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||| || ||||||||| | ||||||||||| ||||| |||||||| ||| | | || |\n",
+      "\n",
+      "Sbjct  2593  GAAAGATCTACTATGAACATCTACATTAAGGGCGAAGAAATTGAACTTGAGCAGAATTTC  2652\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||  | |||||||||||||||||||||||||  |||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  2653  ATTGGCATCTTACTGGAAGGATTTTTGAAGACCAAGAACCAAACTTTGATCACACCTCCA  2712\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             | | | ||||| ||| | |||  | ||||   | |||||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  2713  GGGTTACTGCTACCACCAAATGCCGACTTGAACTTATTTGGTCTCGAGTCATCAGCTATA  2772\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "             ||||   | |||||||| ||||| || ||||| ||||| |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  2773  AACCGCATTGACTACTGTTATACAGCACCCAGCTATCAGGTGGAGGCTAGAGCAAGGATT  2832\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCT  2880\n",
+      "\n",
+      "              | ||| |||| ||||| |||    ||||  ||||||| ||  | || || || || || \n",
+      "\n",
+      "Sbjct  2833  TTGTTCGTTGAGATAGGGAGG---CCCGAAATAGAGGCGGATCTGCAAAGGAGTGCGTCA  2889\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2881  TTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTC  2940\n",
+      "\n",
+      "             ||| | || || |||| |||||  ||||||||||  ||||| ||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  2890  TTGATATCTCAAACCCTTGAACTGCCTCGGACACAAAGCAAGGAGCACAGCGGTTTGCTC  2949\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2941  AGTTGGCCAGAAAGCTTCCGAAGATCCCG------------------------AGCTGAA  2976\n",
+      "\n",
+      "             || ||||| ||||||||| ||| |||| |                        | |||||\n",
+      "\n",
+      "Sbjct  2950  AGCTGGCCGGAAAGCTTCAGAAAATCCAGGGGAGCTCAGAATGGTGCCAGCTTAACTGAA  3009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2977  ATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGC  3036\n",
+      "\n",
+      "             ||||||  ||| || |  ||| ||||| |||||||  ||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3010  ATCAGAGACCATCCAGCAAGCTTCTCTGCAAGAGCATTGCAGCTGAGCATGTACGGGAGC  3069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3037  ATGATGGTTGACATGCACTC------AGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGC  3090\n",
+      "\n",
+      "             |||||   ||||||| | ||       |||||||| |||||| ||||| ||||||||| |\n",
+      "\n",
+      "Sbjct  3070  ATGATCAATGACATGAAGTCCGGTCAGGGTCAGGGTCAGAGGAGGCAGAGGCATCGTCAC  3129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3091  ATGCAGGCAACC------AACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGA  3144\n",
+      "\n",
+      "             | | | |||| |      || ||   |||||||||||| || || ||||||||||| || \n",
+      "\n",
+      "Sbjct  3130  ACGAAAGCAAGCTCTAATAAAGC---GCACAGCTCGTCGTACCCAAGAGTGCCTTCGAGG  3186\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3145  CAAGCCAACACGC---GGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "                 |||||||||   |||| ||||| || || ||||| ||||||  ||||||||\n",
+      "\n",
+      "Sbjct  3187  TCGTCCAACACGCAGAGGCCCCTGCTGTCTGTGCAGTCCGAGGGTGCCAACATGA  3241\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_015763865.2 PREDICTED: Oryza sativa Japonica Group sodium/hydrogen exchanger \n",
+      "\n",
+      "8 (LOC4352928), mRNA\n",
+      "\n",
+      "Length=4209\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3347 bits (3711),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2681/3235 (83%), Gaps = 51/3235 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7     GAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCC  66\n",
+      "\n",
+      "             ||| | || ||||| || |||||||||||||| | |||||| || || || || ||||||\n",
+      "\n",
+      "Sbjct  538   GAGGCGGAGCCTGATGACGCGGTGCTCTTCGTCGGGGTCTCCCTCGTCCTCGGCATCGCC  597\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  67    TCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGC  126\n",
+      "\n",
+      "             || |||||||| ||||| ||||||||||||||||||||||| ||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  598   TCCCGCCACCTCCTCCGGGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGC  657\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  127   GTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGC  186\n",
+      "\n",
+      "             || |||||||| || |||||||| || ||   ||||||  |||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  658   GTCGCCCTCGGATCGCTCGAATTTGGCACAAAACATGGCATGGGCAAACTCGGAGCCGGC  717\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  187   ATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTC  246\n",
+      "\n",
+      "             |||||||| ||||||||||| || |||||||||||  |||||||||||||||| || || \n",
+      "\n",
+      "Sbjct  718   ATTCGTATCTGGGCTAACATTAATCCTGATCTTCTTCTGGCTGTTTTTCTACCCGCTCTT  777\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  247   TTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATG  306\n",
+      "\n",
+      "              | || ||||| || ||||| ||||| || ||||||||||||| |||||||||||| |||\n",
+      "\n",
+      "Sbjct  778   CTTTTTGAAAGTTCCTTTTCCATGGAAATACACCAAATCAAGAAATGTATGGCACAAATG  837\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  307   GTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAG  366\n",
+      "\n",
+      "             ||| | ||||||||||| |||||  | ||||||||  |||| || ||| ||  | |||||\n",
+      "\n",
+      "Sbjct  838   GTGTTACTTGCTGGACCTGGTGTGCTAATATCAACCTTTTTCCTAGGCTCTGCTCTAAAG  897\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  367   GTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGT  426\n",
+      "\n",
+      "              | ||||||||||||||||||| |||||||  ||||||||||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  898   CTCACTTTTCCATACAACTGGAACTGGAAAACATCATTGTTGCTTGGTGGATTGCTTAGT  957\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  427   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTC  486\n",
+      "\n",
+      "             |||||||| || |||||||| ||||||||||||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  958   GCAACTGACCCCGTTGCTGTTGTTGCACTGCTAAAAGAACTTGGCGCAAGTAAAAAGCTT  1017\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  487   AGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAA  546\n",
+      "\n",
+      "             ||||| ||||||||||| |||||  ||||||| |||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1018  AGTACCATAATTGAGGGAGAATCCTTAATGAATGATGGGACTGCTATTGTTGTGTATCAG  1077\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  547   CTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTA  606\n",
+      "\n",
+      "              |||| |   | |||||||| |||||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  1078  TTATTCTATAGGATGGTGCTTGGAAGAACTTTCGATGCAGGATCAATAATAAAATTCTTG  1137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  607   TTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTG  666\n",
+      "\n",
+      "             |  |||||| | ||||| ||||||||| |||||||||| || ||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  1138  TCAGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCTTTTGGAATTGCATCAGTACTG  1197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  667   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGC  726\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1198  TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATCGCGCTTACTCTTGCTGTCAGC  1257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  727   TATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATG  786\n",
+      "\n",
+      "             || || |||||||||||||| |||||| | |||||||| |||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  1258  TACATTGCTTTCTTCACTGCACAAGATGCACTGGAGGTCTCTGGTGTTTTGACCGTCATG  1317\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  787   ACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAA  846\n",
+      "\n",
+      "             ||  |||||||||| ||||| |||||||||||||| ||||| |||||||| || ||| ||\n",
+      "\n",
+      "Sbjct  1318  ACACTGGGAATGTTCTATGCCGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAA  1377\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  847   AGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTG  906\n",
+      "\n",
+      "             || || |||||||| ||||||||||||||||| || ||||| || ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1378  AGCTTGCATCATTTCTGGGAAATGGTTGCTTATATAGCAAACACACTTATATTTATACTG  1437\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  907   AGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGC  966\n",
+      "\n",
+      "             |||||||| |||||||||||||| || ||| |||||||||| ||||| || || || || \n",
+      "\n",
+      "Sbjct  1438  AGTGGGGTTGTTATTGCAGATGGAGTACTAGAAAATAATGTCCATTTCGAGAGGCACGGT  1497\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  967   ACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTT  1026\n",
+      "\n",
+      "              |||| ||||| |||||||||||||| ||| | ||||| | ||| || ||  |  |||||\n",
+      "\n",
+      "Sbjct  1498  GCTTCATGGGGCTTCCTTCTTCTGCTCTATGTATTTGTGCAAATTTCTCGGATATTAGTT  1557\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1027  GTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCC  1086\n",
+      "\n",
+      "             |||| | ||||||||||||||||| | | ||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1558  GTTGTTATTTTGTATCCATTGTTGCGCCACTTTGGGTATGGTTTGGACTTGAAAGAAGCC  1617\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1087  ATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTT  1146\n",
+      "\n",
+      "             | ||||||||| ||| | || ||| |||||||||||||||| || |||||||||||||||\n",
+      "\n",
+      "Sbjct  1618  ACAATTCTTGTTTGGGCGGGACTGCGAGGGGCTGTTGCTCTGTCTCTATCATTATCTGTT  1677\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1147  AAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTG  1206\n",
+      "\n",
+      "             || ||| | ||||||||||| || ||  ||||| ||||||  |  |||||||||||||||\n",
+      "\n",
+      "Sbjct  1678  AAGCGTGCTAGTGATGCAGTTCAGACCCATCTGAAACCAGTTGACGGAACAATGTTTGTG  1737\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1207  TTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTT  1266\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||||||||| | |||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  1738  TTCTTCACTGGTGGCATCGTGTTTTTGACATTGATTTTTAATGGTTCTACTACACAATTT  1797\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1267  TTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATAT  1326\n",
+      "\n",
+      "             || || ||| | ||||| ||||||| | |  ||||||||||| |||| |||||||| |||\n",
+      "\n",
+      "Sbjct  1798  TTGTTGCATCTACTTGGAATGGACAGATTAGCAGCAACAAAGCTTCGCATATTGAATTAT  1857\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1327  ACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAA  1386\n",
+      "\n",
+      "             |||| | |||||||||| ||||| ||||| |||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  1858  ACAAAATATGAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGATGATGAG  1917\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1387  GAGCTTGG---ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || |||||    |||||||||||||||||||||||||||||||| ||||| ||| | |||\n",
+      "\n",
+      "Sbjct  1918  GAACTTGGTCCTCCTGCTGATTGGGTTACTGTAAAGAAATATATCACATGCTTGAACGAC  1977\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||| ||||| || | |||||| ||||   |   |||||   ||   ||||||||||||\n",
+      "\n",
+      "Sbjct  1978  TTGGACGATGAGCCTGTGCATCCTCATGCTGTTTCTGACAGAAATGATCGCATGCATACC  2037\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| ||||||| ||||| || |||||||| |||||||| |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  2038  ATGAACTTAAGGGACATCCGTGTGCGGCTTCTAAATGGTGTCCAAGCTGCTTACTGGGGA  2097\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||| | || ||||||||| | |||||||| ||||||\n",
+      "\n",
+      "Sbjct  2098  ATGCTTGAAGAAGGACGAATAACTCAAACCACTGCAAATATTTTAATGAGATCGGTTGAT  2157\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||| ||| |  | |  |||   |||||||| ||| ||||||| |  ||||||\n",
+      "\n",
+      "Sbjct  2158  GAAGCTATGGATCTTGTTCCTACCCAAGAATTATGTGACTGGAAGGGTTTGCGGTCCAAT  2217\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             ||||| || || ||||||||||| ||||| || ||||||||||||||||||| ||| |||\n",
+      "\n",
+      "Sbjct  2218  GTCCATTTTCCAAATTACTATAGGTTCCTTCAAATGAGCAGGTTGCCACGAAGGCTTATC  2277\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             || |||||||||||||||||| ||||||||||||||||||| | |||||||||||| |||\n",
+      "\n",
+      "Sbjct  2278  ACTTACTTCACAGTAGAAAGACTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTCCGT  2337\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||| ||||  ||||| || ||||| ||||| ||||||||||||||||||||||  |||\n",
+      "\n",
+      "Sbjct  2338  GCTCATAGAATCGCAAGACGGCAGCTACATGACTTTCTTGGTGATAGTGAGGTTGCCAGA  2397\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             | ||||||||||||||||||||||||||| ||||| |||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  2398  ATTGTTATTGATGAAAGTAATGCTGAGGGAGAGGAGGCTAGAAAATTCTTGGAAGATGTT  2457\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             |||||||| ||||| |||||||| |||||||| ||| | ||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  2458  CGTGTTACATTCCCTCAGGTGCTTCGTGTGCTGAAGACTCGACAAGTAACATATTCGGTA  2517\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             ||||| ||| ||||||||||||||||||| ||||||||||| ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2518  TTGACCCACTTGAGTGAGTATATTCAAAATCTCCAGAAGACTGGGTTGCTGGAAGAAAAG  2577\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             ||||||   ||| ||||||||||||||||||||||||| ||||| || || |||||||||\n",
+      "\n",
+      "Sbjct  2578  GAAATGGCCCATCTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTCAAGAGGAATCCA  2637\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  |||| ||||||||||||||  |||||||||| ||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2638  CCATTGGTAAAAATGCCAAGAGTCAGTGATCTTTTGAACACTCATCCGTTAGTTGGTGCA  2697\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||  |  |||||||||||||||||||  ||||||||||| |||  ||| |||\n",
+      "\n",
+      "Sbjct  2698  CTGCCTGCTGCGATGCGTGATCCTTTATTAAGTAGCACAAAAGAAACAGTAAAAGGACAT  2757\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || || |||||||  || ||||||||||| |||||| ||||||||||||| || || \n",
+      "\n",
+      "Sbjct  2758  GGCACAATCCTTTATAGAGAGGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGA  2817\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| ||||||||||| |||||||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2818  GTAGTAAAGTGGACAAGTCAGAGATTAAGCAGCAGGCATTCATTGGATCCAATTTTATCA  2877\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||||||||  | || ||||||||||||||||| || ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2878  CATGGCAGCACTTTGGGCCTGTATGAGGTGCTGATTGGAAAACCTTATATCTGTGACATG  2937\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |||||||||||||||||||| || |||||  | |||||||||||||| |||||| | |||\n",
+      "\n",
+      "Sbjct  2938  ATTACAGATTCTGTGGTGCACTGCTTCTTCATTGAAGCTGAAAAGATAGAGCAATTGCGT  2997\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             ||||| ||||||||||||||| |||| ||||||||||||||  | |||||  ||||||||\n",
+      "\n",
+      "Sbjct  2998  CAATCAGATCCTTCTATTGAGATTTTTCTGTGGCAGGAAAGTGCTCTAGTCGTTGCCAGG  3057\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||||| || |||  ||| ||||||||||||||||  |||||| ||||||| |||||  ||\n",
+      "\n",
+      "Sbjct  3058  CTTTTGCTCCCTATGATGTTTGAGAAAATGGCAACACATGAGCTCAGGGTTCTCATCACT  3117\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||| || ||||||||| | ||||||||||| ||||| |||||||| ||| | | || |\n",
+      "\n",
+      "Sbjct  3118  GAAAGATCTACTATGAACATCTACATTAAGGGCGAAGAAATTGAACTTGAGCAGAATTTC  3177\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||  | |||||||||||||||||||||||||  |||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  3178  ATTGGCATCTTACTGGAAGGATTTTTGAAGACCAAGAACCAAACTTTGATCACACCTCCA  3237\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             | | | ||||| ||| | |||  | ||||   | |||||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  3238  GGGTTACTGCTACCACCAAATGCCGACTTGAACTTATTTGGTCTCGAGTCATCAGCTATA  3297\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "             ||||   | |||||||| ||||| || ||||| ||||| |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  3298  AACCGCATTGACTACTGTTATACAGCACCCAGCTATCAGGTGGAGGCTAGAGCAAGGATT  3357\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCT  2880\n",
+      "\n",
+      "              | ||| |||| ||||| |||    ||||  ||||||| ||  | || || || || || \n",
+      "\n",
+      "Sbjct  3358  TTGTTCGTTGAGATAGGGAGG---CCCGAAATAGAGGCGGATCTGCAAAGGAGTGCGTCA  3414\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2881  TTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTC  2940\n",
+      "\n",
+      "             ||| | || || |||| |||||  ||||||||||  ||||| ||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  3415  TTGATATCTCAAACCCTTGAACTGCCTCGGACACAAAGCAAGGAGCACAGCGGTTTGCTC  3474\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2941  AGTTGGCCAGAAAGCTTCCGAAGATCCCG------------------------AGCTGAA  2976\n",
+      "\n",
+      "             || ||||| ||||||||| ||| |||| |                        | |||||\n",
+      "\n",
+      "Sbjct  3475  AGCTGGCCGGAAAGCTTCAGAAAATCCAGGGGAGCTCAGAATGGTGCCAGCTTAACTGAA  3534\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2977  ATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGC  3036\n",
+      "\n",
+      "             ||||||  ||| || |  ||| ||||| |||||||  ||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3535  ATCAGAGACCATCCAGCAAGCTTCTCTGCAAGAGCATTGCAGCTGAGCATGTACGGGAGC  3594\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3037  ATGATGGTTGACATGCACTC------AGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGC  3090\n",
+      "\n",
+      "             |||||   ||||||| | ||       |||||||| |||||| ||||| ||||||||| |\n",
+      "\n",
+      "Sbjct  3595  ATGATCAATGACATGAAGTCCGGTCAGGGTCAGGGTCAGAGGAGGCAGAGGCATCGTCAC  3654\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3091  ATGCAGGCAACC------AACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGA  3144\n",
+      "\n",
+      "             | | | |||| |      || ||   |||||||||||| || || ||||||||||| || \n",
+      "\n",
+      "Sbjct  3655  ACGAAAGCAAGCTCTAATAAAGC---GCACAGCTCGTCGTACCCAAGAGTGCCTTCGAGG  3711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3145  CAAGCCAACACGC---GGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "                 |||||||||   |||| ||||| || || ||||| ||||||  ||||||||\n",
+      "\n",
+      "Sbjct  3712  TCGTCCAACACGCAGAGGCCCCTGCTGTCTGTGCAGTCCGAGGGTGCCAACATGA  3766\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AY785147.1 Oryza sativa (japonica cultivar-group) Na+/H+ antiporter (SOS1) \n",
+      "\n",
+      "mRNA, complete cds\n",
+      "\n",
+      "Length=3660\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3347 bits (3711),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2681/3235 (83%), Gaps = 51/3235 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7     GAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCC  66\n",
+      "\n",
+      "             ||| | || ||||| || |||||||||||||| | |||||| || || || || ||||||\n",
+      "\n",
+      "Sbjct  18    GAGGCGGAGCCTGATGACGCGGTGCTCTTCGTCGGGGTCTCCCTCGTCCTCGGCATCGCC  77\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  67    TCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGC  126\n",
+      "\n",
+      "             || |||||||| ||||| ||||||||||||||||||||||| ||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  78    TCCCGCCACCTCCTCCGGGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGC  137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  127   GTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGC  186\n",
+      "\n",
+      "             || |||||||| || |||||||| || ||   ||||||  |||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  138   GTCGCCCTCGGATCGCTCGAATTTGGCACAAAACATGGCATGGGCAAACTCGGAGCCGGC  197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  187   ATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTC  246\n",
+      "\n",
+      "             |||||||| ||||||||||| || |||||||||||  |||||||||||||||| || || \n",
+      "\n",
+      "Sbjct  198   ATTCGTATCTGGGCTAACATTAATCCTGATCTTCTTCTGGCTGTTTTTCTACCCGCTCTT  257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  247   TTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATG  306\n",
+      "\n",
+      "              | || ||||| || ||||| ||||| || ||||||||||||| |||||||||||| |||\n",
+      "\n",
+      "Sbjct  258   CTTTTTGAAAGTTCCTTTTCCATGGAAATACACCAAATCAAGAAATGTATGGCACAAATG  317\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  307   GTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAG  366\n",
+      "\n",
+      "             ||| | ||||||||||| |||||  | ||||||||  |||| || ||| ||  | |||||\n",
+      "\n",
+      "Sbjct  318   GTGTTACTTGCTGGACCTGGTGTGCTAATATCAACCTTTTTCCTAGGCTCTGCTCTAAAG  377\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  367   GTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGT  426\n",
+      "\n",
+      "              | ||||||||||||||||||| |||||||  ||||||||||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  378   CTCACTTTTCCATACAACTGGAACTGGAAAACATCATTGTTGCTTGGTGGATTGCTTAGT  437\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  427   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTC  486\n",
+      "\n",
+      "             |||||||| || |||||||| ||||||||||||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  438   GCAACTGACCCCGTTGCTGTTGTTGCACTGCTAAAAGAACTTGGCGCAAGTAAAAAGCTT  497\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  487   AGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAA  546\n",
+      "\n",
+      "             ||||| ||||||||||| |||||  ||||||| |||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  498   AGTACCATAATTGAGGGAGAATCCTTAATGAATGATGGGACTGCTATTGTTGTGTATCAG  557\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  547   CTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTA  606\n",
+      "\n",
+      "              |||| |   | |||||||| |||||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  558   TTATTCTATAGGATGGTGCTTGGAAGAACTTTCGATGCAGGATCAATAATAAAATTCTTG  617\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  607   TTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTG  666\n",
+      "\n",
+      "             |  |||||| | ||||| ||||||||| |||||||||| || ||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  618   TCAGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCTTTTGGAATTGCATCAGTACTG  677\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  667   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGC  726\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  678   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATCGCGCTTACTCTTGCTGTCAGC  737\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  727   TATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATG  786\n",
+      "\n",
+      "             || || |||||||||||||| |||||| | |||||||| |||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  738   TACATTGCTTTCTTCACTGCACAAGATGCACTGGAGGTCTCTGGTGTTTTGACCGTCATG  797\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  787   ACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAA  846\n",
+      "\n",
+      "             ||  |||||||||| ||||| |||||||||||||| ||||| |||||||| || ||| ||\n",
+      "\n",
+      "Sbjct  798   ACACTGGGAATGTTCTATGCCGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAA  857\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  847   AGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTG  906\n",
+      "\n",
+      "             || || |||||||| ||||||||||||||||| || ||||| || ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  858   AGCTTGCATCATTTCTGGGAAATGGTTGCTTATATAGCAAACACACTTATATTTATACTG  917\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  907   AGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGC  966\n",
+      "\n",
+      "             |||||||| |||||||||||||| || ||| |||||||||| ||||| || || || || \n",
+      "\n",
+      "Sbjct  918   AGTGGGGTTGTTATTGCAGATGGAGTACTAGAAAATAATGTCCATTTCGAGAGGCACGGT  977\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  967   ACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTT  1026\n",
+      "\n",
+      "              |||| ||||| |||||||||||||| ||| | ||||| | ||| || ||  |  |||||\n",
+      "\n",
+      "Sbjct  978   GCTTCATGGGGCTTCCTTCTTCTGCTCTATGTATTTGTGCAAATTTCTCGGATATTAGTT  1037\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1027  GTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCC  1086\n",
+      "\n",
+      "             |||| | ||||||||||||||||| | | ||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1038  GTTGTTATTTTGTATCCATTGTTGCGCCACTTTGGGTATGGTTTGGACTTGAAAGAAGCC  1097\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1087  ATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTT  1146\n",
+      "\n",
+      "             | ||||||||| ||| | || ||| |||||||||||||||| || |||||||||||||||\n",
+      "\n",
+      "Sbjct  1098  ACAATTCTTGTTTGGGCGGGACTGCGAGGGGCTGTTGCTCTGTCTCTATCATTATCTGTT  1157\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1147  AAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTG  1206\n",
+      "\n",
+      "             || ||| | ||||||||||| || ||  ||||| ||||||  |  |||||||||||||||\n",
+      "\n",
+      "Sbjct  1158  AAGCGTGCTAGTGATGCAGTTCAGACCCATCTGAAACCAGTTGACGGAACAATGTTTGTG  1217\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1207  TTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTT  1266\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||||||||| | |||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  1218  TTCTTCACTGGTGGCATCGTGTTTTTGACATTGATTTTTAATGGTTCTACTACACAATTT  1277\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1267  TTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATAT  1326\n",
+      "\n",
+      "             || || ||| | ||||| ||||||| | |  ||||||||||| |||| |||||||| |||\n",
+      "\n",
+      "Sbjct  1278  TTGTTGCATCTACTTGGAATGGACAGATTAGCAGCAACAAAGCTTCGCATATTGAATTAT  1337\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1327  ACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAA  1386\n",
+      "\n",
+      "             |||| | |||||||||| ||||| ||||| |||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  1338  ACAAAATATGAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGATGATGAG  1397\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1387  GAGCTTGG---ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || |||||    |||||||||||||||||||||||||||||||| ||||| ||| | |||\n",
+      "\n",
+      "Sbjct  1398  GAACTTGGTCCTCCTGCTGATTGGGTTACTGTAAAGAAATATATCACATGCTTGAACGAC  1457\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||| ||||| || | |||||| ||||   |   |||||   ||   ||||||||||||\n",
+      "\n",
+      "Sbjct  1458  TTGGACGATGAGCCTGTGCATCCTCATGCTGTTTCTGACAGAAATGATCGCATGCATACC  1517\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| ||||||| ||||| || |||||||| |||||||| |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  1518  ATGAACTTAAGGGACATCCGTGTGCGGCTTCTAAATGGTGTCCAAGCTGCTTACTGGGGA  1577\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||| | || ||||||||| | |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1578  ATGCTTGAAGAAGGACGAATAACTCAAACCACTGCAAATATTTTAATGAGATCGGTTGAT  1637\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||| ||| |  | |  |||   |||||||| ||| ||||||| |  ||||||\n",
+      "\n",
+      "Sbjct  1638  GAAGCTATGGATCTTGTTCCTACCCAAGAATTATGTGACTGGAAGGGTTTGCGGTCCAAT  1697\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             ||||| || || ||||||||||| ||||| || ||||||||||||||||||| ||| |||\n",
+      "\n",
+      "Sbjct  1698  GTCCATTTTCCAAATTACTATAGGTTCCTTCAAATGAGCAGGTTGCCACGAAGGCTTATC  1757\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             || |||||||||||||||||| ||||||||||||||||||| | |||||||||||| |||\n",
+      "\n",
+      "Sbjct  1758  ACTTACTTCACAGTAGAAAGACTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTCCGT  1817\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||| ||||  ||||| || ||||| ||||| ||||||||||||||||||||||  |||\n",
+      "\n",
+      "Sbjct  1818  GCTCATAGAATCGCAAGACGGCAGCTACATGACTTTCTTGGTGATAGTGAGGTTGCCAGA  1877\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             | ||||||||||||||||||||||||||| ||||| |||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  1878  ATTGTTATTGATGAAAGTAATGCTGAGGGAGAGGAGGCTAGAAAATTCTTGGAAGATGTT  1937\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             |||||||| ||||| |||||||| |||||||| ||| | ||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  1938  CGTGTTACATTCCCTCAGGTGCTTCGTGTGCTGAAGACTCGACAAGTAACATATTCGGTA  1997\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             ||||| ||| ||||||||||||||||||| ||||||||||| ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1998  TTGACCCACTTGAGTGAGTATATTCAAAATCTCCAGAAGACTGGGTTGCTGGAAGAAAAG  2057\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             ||||||   ||| ||||||||||||||||||||||||| ||||| || || |||||||||\n",
+      "\n",
+      "Sbjct  2058  GAAATGGCCCATCTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTCAAGAGGAATCCA  2117\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  |||| ||||||||||||||  |||||||||| ||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2118  CCATTGGTAAAAATGCCAAGAGTCAGTGATCTTTTGAACACTCATCCGTTAGTTGGTGCA  2177\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||  |  |||||||||||||||||||  ||||||||||| |||  ||| |||\n",
+      "\n",
+      "Sbjct  2178  CTGCCTGCTGCGATGCGTGATCCTTTATTAAGTAGCACAAAAGAAACAGTAAAAGGACAT  2237\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || || |||||||  || ||||||||||| |||||| ||||||||||||| || || \n",
+      "\n",
+      "Sbjct  2238  GGCACAATCCTTTATAGAGAGGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGA  2297\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| ||||||||||| |||||||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2298  GTAGTAAAGTGGACAAGTCAGAGATTAAGCAGCAGGCATTCATTGGATCCAATTTTATCA  2357\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||||||||  | || ||||||||||||||||| || ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2358  CATGGCAGCACTTTGGGCCTGTATGAGGTGCTGATTGGAAAACCTTATATCTGTGACATG  2417\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |||||||||||||||||||| || |||||  | |||||||||||||| |||||| | |||\n",
+      "\n",
+      "Sbjct  2418  ATTACAGATTCTGTGGTGCACTGCTTCTTCATTGAAGCTGAAAAGATAGAGCAATTGCGT  2477\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             ||||| ||||||||||||||| |||| ||||||||||||||  | |||||  ||||||||\n",
+      "\n",
+      "Sbjct  2478  CAATCAGATCCTTCTATTGAGATTTTTCTGTGGCAGGAAAGTGCTCTAGTCGTTGCCAGG  2537\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||||| || |||  ||| ||||||||||||||||  |||||| ||||||| |||||  ||\n",
+      "\n",
+      "Sbjct  2538  CTTTTGCTCCCTATGATGTTTGAGAAAATGGCAACACATGAGCTCAGGGTTCTCATCACT  2597\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||| || ||||||||| | ||||||||||| ||||| |||||||| ||| | | || |\n",
+      "\n",
+      "Sbjct  2598  GAAAGATCTACTATGAACATCTACATTAAGGGCGAAGAAATTGAACTTGAGCAGAATTTC  2657\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||  | |||||||||||||||||||||||||  |||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  2658  ATTGGCATCTTACTGGAAGGATTTTTGAAGACCAAGAACCAAACTTTGATCACACCTCCA  2717\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             | | | ||||| ||| | |||  | ||||   | |||||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  2718  GGGTTACTGCTACCACCAAATGCCGACTTGAACTTATTTGGTCTCGAGTCATCAGCTATA  2777\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "             ||||   | |||||||| ||||| || ||||| ||||| |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  2778  AACCGCATTGACTACTGTTATACAGCACCCAGCTATCAGGTGGAGGCTAGAGCAAGGATT  2837\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCT  2880\n",
+      "\n",
+      "              | ||| |||| ||||| |||    ||||  ||||||| ||  | || || || || || \n",
+      "\n",
+      "Sbjct  2838  TTGTTCGTTGAGATAGGGAGG---CCCGAAATAGAGGCGGATCTGCAAAGGAGTGCGTCA  2894\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2881  TTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTC  2940\n",
+      "\n",
+      "             ||| | || || |||| |||||  ||||||||||  ||||| ||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  2895  TTGATATCTCAAACCCTTGAACTGCCTCGGACACAAAGCAAGGAGCACAGCGGTTTGCTC  2954\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2941  AGTTGGCCAGAAAGCTTCCGAAGATCCCG------------------------AGCTGAA  2976\n",
+      "\n",
+      "             || ||||| ||||||||| ||| |||| |                        | |||||\n",
+      "\n",
+      "Sbjct  2955  AGCTGGCCGGAAAGCTTCAGAAAATCCAGGGGAGCTCAGAATGGTGCCAGCTTAACTGAA  3014\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2977  ATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGC  3036\n",
+      "\n",
+      "             ||||||  ||| || |  ||| ||||| |||||||  ||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  3015  ATCAGAGACCATCCAGCAAGCTTCTCTGCAAGAGCATTGCAGCTGAGCATGTACGGGAGC  3074\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3037  ATGATGGTTGACATGCACTC------AGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGC  3090\n",
+      "\n",
+      "             |||||   ||||||| | ||       |||||||| |||||| ||||| ||||||||| |\n",
+      "\n",
+      "Sbjct  3075  ATGATCAATGACATGAAGTCCGGTCAGGGTCAGGGTCAGAGGAGGCAGAGGCATCGTCAC  3134\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3091  ATGCAGGCAACC------AACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGA  3144\n",
+      "\n",
+      "             | | | |||| |      || ||   |||||||||||| || || ||||||||||| || \n",
+      "\n",
+      "Sbjct  3135  ACGAAAGCAAGCTCTAATAAAGC---GCACAGCTCGTCGTACCCAAGAGTGCCTTCGAGG  3191\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3145  CAAGCCAACACGC---GGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "                 |||||||||   |||| ||||| || || ||||| ||||||  ||||||||\n",
+      "\n",
+      "Sbjct  3192  TCGTCCAACACGCAGAGGCCCCTGCTGTCTGTGCAGTCCGAGGGTGCCAACATGA  3246\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_006664193.2 PREDICTED: Oryza brachyantha sodium/hydrogen exchanger 8 (LOC102717305), \n",
+      "\n",
+      "mRNA\n",
+      "\n",
+      "Length=3894\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3323 bits (3684),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2681/3240 (83%), Gaps = 44/3240 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  13    GATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGC  72\n",
+      "\n",
+      "             || ||||| || || ||||||||||| | |||||| || || || || |||||||| |||\n",
+      "\n",
+      "Sbjct  161   GAGCCTGATGACGCCGTGCTCTTCGTCGGGGTCTCCCTCGTTCTCGGCATCGCCTCCCGC  220\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  73    CACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCC  132\n",
+      "\n",
+      "             ||||| ||||| ||||||||||||||||||||| | || || ||| |||||||||| |||\n",
+      "\n",
+      "Sbjct  221   CACCTCCTCCGCGGCACCCGCGTCCCCTACACCATCGCTCTCCTCGTCCTCGGCGTCGCC  280\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  133   CTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGT  192\n",
+      "\n",
+      "             ||||| || |||||||| || ||   |||| | || |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  281   CTCGGATCGCTCGAATTTGGCACAAAACATAGCCTAGGCAAACTCGGAGCTGGCATTCGT  340\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  193   ATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTC  252\n",
+      "\n",
+      "             || |||||||||||||| ||||||||||| |||||||||||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  341   ATCTGGGCTAACATAAATCCTGATCTTCTCTTGGCTGTTTTTCTACCTGCTCTTTTGTTT  400\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  253   GAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTG  312\n",
+      "\n",
+      "             ||||| || ||||| |||||  | |||||||| |||| |||||||||||| |||||| | \n",
+      "\n",
+      "Sbjct  401   GAAAGTTCCTTTTCGATGGAAGTACACCAAATAAAGAAATGTATGGCACAAATGGTGTTA  460\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  313   CTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACT  372\n",
+      "\n",
+      "             |||||||| || |||||| |  |||| ||  |||| || ||| ||  | ||||| | |||\n",
+      "\n",
+      "Sbjct  461   CTTGCTGGGCCTGGTGTCATATTATCGACCTTTTTCCTAGGCTCTGCTCTAAAGCTCACT  520\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  373   TTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACT  432\n",
+      "\n",
+      "             |||||||||||||||| |||||||  ||||||||||||||||||| | ||||||||||||\n",
+      "\n",
+      "Sbjct  521   TTTCCATACAACTGGAACTGGAAAACATCATTGTTGCTTGGTGGATTGCTTAGTGCAACT  580\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  433   GATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACA  492\n",
+      "\n",
+      "             || ||||||||||| |||||||| ||||||||||||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  581   GACCCTGTTGCTGTAGTTGCACTTCTAAAAGAACTTGGAGCAAGTAAAAAGCTTAGTACG  640\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  493   ATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTT  552\n",
+      "\n",
+      "              |||||||||| |||||  ||||||| |||||||| ||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  641   GTAATTGAGGGAGAATCCTTAATGAATGATGGGACGGCTATTGTTGTCTATCAGCTATTC  700\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  553   TTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAA  612\n",
+      "\n",
+      "             |   | |||||||| |||||||||||||||||||| ||||| ||||||||||| |  |||\n",
+      "\n",
+      "Sbjct  701   TATAGGATGGTGCTTGGAAGAACCTTTGATGCTGGATCAATAATAAAGTTCTTGTCAGAA  760\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  613   GTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTG  672\n",
+      "\n",
+      "             ||| | ||||| ||||||||| |||||||||| || ||||||| ||||||||||||||||\n",
+      "\n",
+      "Sbjct  761   GTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCCTTTGGAATTGCATCAGTACTGTGGCTG  820\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  673   GGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATA  732\n",
+      "\n",
+      "             |||||||||||||||||| |||||||||||||||| |||||||||||||||||||| || \n",
+      "\n",
+      "Sbjct  821   GGCTTTATTTTTAATGATGCAATCATAGAGATTGCTCTTACTCTTGCTGTCAGCTACATT  880\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  733   GCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTG  792\n",
+      "\n",
+      "             |||||||||||||| |||||| | |||||| | |||||||||||| | |||||||| |||\n",
+      "\n",
+      "Sbjct  881   GCTTTCTTCACTGCACAAGATGCACTGGAGATCTCTGGTGTTTTGACGGTCATGACATTG  940\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  793   GGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTA  852\n",
+      "\n",
+      "             |||||||| |||||||||||||| ||||| ||||| |||||||| || ||| ||||  | \n",
+      "\n",
+      "Sbjct  941   GGAATGTTCTATGCAGCTTTTGCGAAAACTGCTTTTAAGGGTGACAGTCAGCAAAGCCTG  1000\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  853   CATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGG  912\n",
+      "\n",
+      "             |||||||| ||||||||||||||||| || ||||| || || || |||||| ||||||||\n",
+      "\n",
+      "Sbjct  1001  CATCATTTCTGGGAAATGGTTGCTTATATAGCAAACACACTCATATTTATACTGAGTGGG  1060\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  913   GTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCT  972\n",
+      "\n",
+      "             || |||||||||||||| || ||| |||||||| | ||||| || || |||||  |||| \n",
+      "\n",
+      "Sbjct  1061  GTTGTTATTGCAGATGGAGTACTAGAAAATAATTTCCATTTCGAGAGGCATGGTGCTTCA  1120\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  973   TGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGT  1032\n",
+      "\n",
+      "             ||||| |||||||||||||| ||| | ||||| | ||| || ||  |  ||||||||| |\n",
+      "\n",
+      "Sbjct  1121  TGGGGCTTCCTTCTTCTGCTCTATGTATTTGTGCAAATTTCTCGGATATTAGTTGTTGCT  1180\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1033  GTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATT  1092\n",
+      "\n",
+      "              || ||||||||||  |  ||| ||||||||| ||||||||||||||||| |||| ||||\n",
+      "\n",
+      "Sbjct  1181  ATTCTGTATCCATTACTACGTCACTTTGGGTACGGTTTGGACTTGAAAGAAGCCACAATT  1240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1093  CTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGT  1152\n",
+      "\n",
+      "             |||||||||||||||||| |||||||||||||||| || |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1241  CTTGTCTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCTCTATCATTATCTGTTAAACGT  1300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1153  ACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTC  1212\n",
+      "\n",
+      "              | ||||||||||| ||  | |||||| |||| | || ||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1301  GCTAGTGATGCAGTTCAGTCCTATCTGAAACCGGTAGATGGAACAATGTTTGTGTTCTTC  1360\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1213  ACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTA  1272\n",
+      "\n",
+      "             |||||||||||||||||||| ||||||||| | ||||| || |||||||| || || || \n",
+      "\n",
+      "Sbjct  1361  ACTGGTGGCATTGTGTTTCTCACATTGATTTTGAATGGGTCTACCACACAGTTCTTGTTG  1420\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1273  CATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGA  1332\n",
+      "\n",
+      "             ||| | ||||| ||||||| | | |||||||||||| |||| |||||||| ||||||| |\n",
+      "\n",
+      "Sbjct  1421  CATCTACTTGGAATGGACAGATTATCAGCAACAAAGCTTCGCATATTGAATTATACAAAA  1480\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1333  CATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTT  1392\n",
+      "\n",
+      "              |||||||||| ||||| ||||| |||||||||||||| |||||||||||||| || |||\n",
+      "\n",
+      "Sbjct  1481  TATGAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGATGATGAGGAACTT  1540\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1393  GG---ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGAT  1449\n",
+      "\n",
+      "             ||    |||||||||||||||||||| ||||||||||| | ||| ||| ||||  |||| \n",
+      "\n",
+      "Sbjct  1541  GGTCCCCCTGCTGATTGGGTTACTGTGAAGAAATATATCAAATGCTTGAATGATCTGGAC  1600\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1450  GATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAAC  1506\n",
+      "\n",
+      "             ||||| || | |||||||||||   |   |||||   || | |||||||||| |||||||\n",
+      "\n",
+      "Sbjct  1601  GATGAGCCTGTGCATCCCCATGCTCTTTCTGACAGAAATGGTCGCATGCATAGCATGAAC  1660\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1507  CTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTT  1566\n",
+      "\n",
+      "              ||||||| ||||| || |||||||| |||||||| |||||||| || ||||||||||||\n",
+      "\n",
+      "Sbjct  1661  TTAAGGGACATCCGTGTGCGGCTTCTAAATGGTGTTCAAGCTGCTTACTGGGGAATGCTT  1720\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1567  GAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCT  1626\n",
+      "\n",
+      "             |||||||||||||||||||||||||| ||||||||| |||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1721  GAAGAGGGACGAATAACTCAAGCTACCGCAAATATTTTGATGAGATCAGTTGATGAAGCT  1780\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1627  ATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAG  1686\n",
+      "\n",
+      "             ||||| ||  |  | || ||| | |||||||||||| ||||||| |  || |||||||| \n",
+      "\n",
+      "Sbjct  1781  ATGGATCTCGTTCCTAGCCAAGCATTATGTGATTGGAAGGGTTTGCGGTCTAATGTCCAT  1840\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1687  TTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATAC  1746\n",
+      "\n",
+      "             || || ||||| ||||||||||| || ||||||||||||||||||| ||| ||||| |||\n",
+      "\n",
+      "Sbjct  1841  TTTCCAAATTATTATAGATTCCTTCAAATGAGCAGGTTGCCACGAAGGCTTATCACTTAC  1900\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1747  TTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCAC  1806\n",
+      "\n",
+      "             ||||||||||||||| ||||||||||||| ||||| | |||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  1901  TTCACAGTAGAAAGACTGGAGTCAGGATGCTACATTTGTGCTGCATTTCTCCGTGCTCAT  1960\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1807  AGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTT  1866\n",
+      "\n",
+      "             ||||  ||||| || ||||| |||||||||||||||||||||||||| | ||||| ||||\n",
+      "\n",
+      "Sbjct  1961  AGAATCGCAAGACGGCAGCTACATGATTTTCTTGGTGATAGTGAGGTAGCAAGAATTGTT  2020\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1867  ATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTT  1926\n",
+      "\n",
+      "             ||||||||||||||||||||||| |||||||||| ||||||  |||||||||| || |||\n",
+      "\n",
+      "Sbjct  2021  ATTGATGAAAGTAATGCTGAGGGAGAGGAAGCTAGAAAATTCTTGGAAGATGTCCGCGTT  2080\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1927  ACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACA  1986\n",
+      "\n",
+      "             || ||||| |||||||| |||||||| ||| | ||||| || ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  2081  ACATTCCCTCAGGTGCTTCGTGTGCTCAAGACTCGACAAGTGACATATTCAGTTTTGACC  2140\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1987  CACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATG  2046\n",
+      "\n",
+      "             ||| ||||||||||||||||||||||||||||||| ||||||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  2141  CACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGTTGCTGGAAGAGAAGGAAATG  2200\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2047  ATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATG  2106\n",
+      "\n",
+      "                ||| ||||||||||||||||||||||||| ||||| || || |||||||||||  ||\n",
+      "\n",
+      "Sbjct  2201  GCCCATCTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTCAAGAGGAATCCACCATTG  2260\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2107  GTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCT  2166\n",
+      "\n",
+      "             |||||||||||||||||  |||||||||| ||||| ||||| ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  2261  GTGAAAATGCCAAGAGTGAGTGATCTTTTGAACACTCATCCATTAGTTGGTGCACTGCCT  2320\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2167  GCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACG  2226\n",
+      "\n",
+      "             ||| | |  |||||||||||||| | || |||||||||||| |||  ||  ||||| || \n",
+      "\n",
+      "Sbjct  2321  GCTTTGATGCGTGATCCTTTATTGAATAGTACAAAAGAAACAGTAAAAGTTCATGGCACA  2380\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2227  ATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTG  2286\n",
+      "\n",
+      "             || ||||| |  || || |||||||| |||||| |||||||||||||  | || ||||| \n",
+      "\n",
+      "Sbjct  2381  ATCCTTTACAGAGAGGGATCAAGGCCAACTGGTATATGGCTTGTTTCTGTTGGAGTAGTA  2440\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2287  AAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGA  2346\n",
+      "\n",
+      "             |||||| ||||||||||| |||| ||||||||||| |||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2441  AAGTGGACAAGTCAGAGATTAAGTAGCAGGCATTCATTGGATCCAATTTTTTCACATGGA  2500\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2347  AACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACA  2406\n",
+      "\n",
+      "             | |||||||||  |||| ||||||||||| ||||| || ||||| ||||| ||| |||||\n",
+      "\n",
+      "Sbjct  2501  AGCACTTTGGGCCTATATGAGGTGCTGATCGGAAAACCTTATATCTGTGAAATGGTTACA  2560\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2407  GATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCG  2466\n",
+      "\n",
+      "             ||||||||||| || ||||||||  | |||||||||||||| || ||| | | ||| || \n",
+      "\n",
+      "Sbjct  2561  GATTCTGTGGTTCACTGTTTCTTCATTGAAGCTGAAAAGATGGAACAATTGCTTCAGTCA  2620\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2467  GATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTA  2526\n",
+      "\n",
+      "             ||||||||||| |||||||| ||||||||||||||  | |||||  ||||||||||| | \n",
+      "\n",
+      "Sbjct  2621  GATCCTTCTATCGAGGTTTTTCTGTGGCAGGAAAGTGCTCTAGTCGTTGCCAGGCTTATG  2680\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2527  CTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGG  2586\n",
+      "\n",
+      "             || |||  ||| ||||||||||||||||  |||||| ||||||| |||||  ||||||| \n",
+      "\n",
+      "Sbjct  2681  CTCCCTATGATGTTTGAGAAAATGGCAACACATGAGCTCAGGGTTCTCATCACTGAAAGA  2740\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2587  TCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGC  2646\n",
+      "\n",
+      "             || ||||||| | | ||||||||||| || || |||||| | ||| | | ||||||||||\n",
+      "\n",
+      "Sbjct  2741  TCTACTATGAGCATCTACATTAAGGGCGAGGAAATTGAAATTGAGCAGAATTACATTGGC  2800\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2647  ATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTG  2706\n",
+      "\n",
+      "             ||  | |||||||||||||||||||||||||  |||| | | ||||| ||||||| | | \n",
+      "\n",
+      "Sbjct  2801  ATCTTACTGGAAGGATTTTTGAAGACCAAGAACCAAACTTTGATCACTCCTCCAGGGTTA  2860\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2707  CTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCAT  2766\n",
+      "\n",
+      "              |||| ||||| |||    ||||   | |||||||||| || || |||||||| || |  \n",
+      "\n",
+      "Sbjct  2861  TTGCTGCCATCAAATGCTGACTTGAACTTATTTGGTCTCGAGTCCTCAGCTATAAATCGC  2920\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2767  GTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTC  2826\n",
+      "\n",
+      "              | |||||||||||||| || ||| | ||||| |||||||| |||||||| ||| | |||\n",
+      "\n",
+      "Sbjct  2921  ATTGACTACTGCTATACAGCACCCTGCTATCAGGTGGAGGCTAGAGCAAGAATTTTGTTC  2980\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2827  TTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTG  2886\n",
+      "\n",
+      "              ||||  |||| ||||   | ||||||||||| ||  | ||||| || || || ||| | \n",
+      "\n",
+      "Sbjct  2981  GTTGAGTTAGGGAGGG---CAGAGGTAGAGGCAGATCTTCAGAGGAGTGCGTCATTGATA  3037\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2887  TCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGG  2946\n",
+      "\n",
+      "             || || |||| ||||   ||||||||||  ||||| ||||| || ||| ||||||| |||\n",
+      "\n",
+      "Sbjct  3038  TCTCAAACCCTTGAATTGCCTCGGACACACAGCAAGGAGCACAGCGGTTTGCTCAGCTGG  3097\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2947  CCAGAAAGCTTCCGAAGATCCCG------------------------AGCTGAAATCAGA  2982\n",
+      "\n",
+      "             || ||||||||||||| |||| |                        |||||||||||||\n",
+      "\n",
+      "Sbjct  3098  CCGGAAAGCTTCCGAAAATCCAGGGGTGCTCATAATACTGCCAGCTTAGCTGAAATCAGA  3157\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2983  AGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATG  3042\n",
+      "\n",
+      "               ||| || |  ||| ||||| |||||||  ||||||||||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  3158  GACCATCCAGCAAGCTTCTCTGCAAGAGCATTGCAGCTGAGCATGTACGGCAGCATGATC  3217\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3043  GTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACC  3102\n",
+      "\n",
+      "               |||||||||  | ||||||||  ||||| ||||| ||||||||| ||   |  |  ||\n",
+      "\n",
+      "Sbjct  3218  AATGACATGCAGGCCGGTCAGGGTGAGAGGAGGCAGTGGCATCGTCACACAAAATCGTCC  3277\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3103  AACGCGA---GGCACAGCTCGTCCTATCCCAGAGTGCCTTC-AAGACAAGCCAACACGC-  3157\n",
+      "\n",
+      "             |||   |   ||||||||||||| || || ||||||||||| ||| |   ||||||||| \n",
+      "\n",
+      "Sbjct  3278  AACAGTAAAGGGCACAGCTCGTCATACCCAAGAGTGCCTTCGAAGTC-GTCCAACACGCA  3336\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3158  --GGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAACAGGTTGCCTGCTTCTCC  3215\n",
+      "\n",
+      "               |||| ||||| ||||| ||||| ||||||  |||||||   |||  | ||||| ||||\n",
+      "\n",
+      "Sbjct  3337  GAGGCCCCTGCTGTCCGTGCAGTCCGAGGGTGCCAACATG---AGGACGGCTGCTCCTCC  3393\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AY328087.1 Oryza sativa (japonica cultivar-group) putative Na+/H+ antiporter \n",
+      "\n",
+      "(NHA1) mRNA, complete cds\n",
+      "\n",
+      "Length=3736\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3307 bits (3667),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2670/3222 (83%), Gaps = 43/3222 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7     GAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCC  66\n",
+      "\n",
+      "             ||| | || ||||| || |||||||||||||| | |||||| || || || || ||||||\n",
+      "\n",
+      "Sbjct  160   GAGGCGGAGCCTGATGACGCGGTGCTCTTCGTCGGGGTCTCCCTCGTCCTCGGCATCGCC  219\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  67    TCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGC  126\n",
+      "\n",
+      "             || |||||||| ||||| ||||||||||||||||||||||| ||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  220   TCCCGCCACCTCCTCCGGGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGC  279\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  127   GTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGC  186\n",
+      "\n",
+      "             || |||||||| || |||||||| || ||   ||||||  |||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  280   GTCGCCCTCGGATCGCTCGAATTTGGCACAAAACATGGCATGGGCAAACTCGGAGCCGGC  339\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  187   ATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTC  246\n",
+      "\n",
+      "             |||||||| ||||||||||| || |||||||||||  |||||||||||||||| || || \n",
+      "\n",
+      "Sbjct  340   ATTCGTATCTGGGCTAACATTAATCCTGATCTTCTTCTGGCTGTTTTTCTACCCGCTCTT  399\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  247   TTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATG  306\n",
+      "\n",
+      "              | || ||||| || ||||| ||||| || ||||||||||||| |||||||||||| |||\n",
+      "\n",
+      "Sbjct  400   CTTTTTGAAAGTTCCTTTTCCATGGAAATACACCAAATCAAGAAATGTATGGCACAAATG  459\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  307   GTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAG  366\n",
+      "\n",
+      "             ||| | ||||||||||| |||||  | ||||||||  |||| || ||| ||  | |||||\n",
+      "\n",
+      "Sbjct  460   GTGTTACTTGCTGGACCTGGTGTGCTAATATCAACCTTTTTCCTAGGCTCTGCTCTAAAG  519\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  367   GTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGT  426\n",
+      "\n",
+      "              | ||||||||||||||||||| |||||||  ||||||||||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  520   CTCACTTTTCCATACAACTGGAACTGGAAAACATCATTGTTGCTTGGTGGATTGCTTAGT  579\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  427   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTC  486\n",
+      "\n",
+      "             |||||||| || |||||||| ||||||||||||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  580   GCAACTGACCCCGTTGCTGTTGTTGCACTGCTAAAAGAACTTGGCGCAAGTAAAAAGCTT  639\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  487   AGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAA  546\n",
+      "\n",
+      "             ||||| ||||||||||| |||||  ||||||| |||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  640   AGTACCATAATTGAGGGAGAATCCTTAATGAATGATGGGACTGCTATTGTTGTGTATCAG  699\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  547   CTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTA  606\n",
+      "\n",
+      "              |||| |   | |||||||| |||||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  700   TTATTCTATAGGATGGTGCTTGGAAGAACTTTCGATGCAGGATCAATAATAAAATTCTTG  759\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  607   TTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTG  666\n",
+      "\n",
+      "             |  |||||| | ||||| ||||||||| |||||||||| || ||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  760   TCAGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCTTTTGGAATTGCATCAGTACTG  819\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  667   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGC  726\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  820   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATCGCGCTTACTCTTGCTGTCAGC  879\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  727   TATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATG  786\n",
+      "\n",
+      "             || || |||||||||||||| |||||| | |||||||| |||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  880   TACATTGCTTTCTTCACTGCACAAGATGCACTGGAGGTCTCTGGTGTTTTGACCGTCATG  939\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  787   ACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAA  846\n",
+      "\n",
+      "             ||  |||||||||| ||||| |||||||||||||| ||||| |||||||| || ||| ||\n",
+      "\n",
+      "Sbjct  940   ACACTGGGAATGTTCTATGCCGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAA  999\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  847   AGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTG  906\n",
+      "\n",
+      "             || || |||||||| ||||||||||||||||| || ||||| || ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1000  AGCTTGCATCATTTCTGGGAAATGGTTGCTTATATAGCAAACACACTTATATTTATACTG  1059\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  907   AGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGC  966\n",
+      "\n",
+      "             |||||||| |||||||||||||| || ||| |||||||||| ||||| || || || || \n",
+      "\n",
+      "Sbjct  1060  AGTGGGGTTGTTATTGCAGATGGAGTACTAGAAAATAATGTCCATTTCGAGAGGCACGGT  1119\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  967   ACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTT  1026\n",
+      "\n",
+      "              |||| ||||| |||||||||||||| ||| | ||||| | ||| || ||  |  |||||\n",
+      "\n",
+      "Sbjct  1120  GCTTCATGGGGCTTCCTTCTTCTGCTCTATGTATTTGTGCAAATTTCTCGGATATTAGTT  1179\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1027  GTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCC  1086\n",
+      "\n",
+      "             |||| | ||||||||||||||||| | | ||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1180  GTTGTTATTTTGTATCCATTGTTGCGCCACTTTGGGTATGGTTTGGACTTGAAAGAAGCC  1239\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1087  ATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTT  1146\n",
+      "\n",
+      "             | ||||||||| ||| | || ||| |||||||||||||||| || |||||||||||||||\n",
+      "\n",
+      "Sbjct  1240  ACAATTCTTGTTTGGGCGGGACTGCGAGGGGCTGTTGCTCTGTCTCTATCATTATCTGTT  1299\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1147  AAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTG  1206\n",
+      "\n",
+      "             || ||| | ||||||||||| || ||  ||||| ||||||  |  |||||||||||||||\n",
+      "\n",
+      "Sbjct  1300  AAGCGTGCTAGTGATGCAGTTCAGACCCATCTGAAACCAGTTGACGGAACAATGTTTGTG  1359\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1207  TTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTT  1266\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||||||||| | |||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  1360  TTCTTCACTGGTGGCATCGTGTTTTTGACATTGATTTTTAATGGTTCTACTACACAATTT  1419\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1267  TTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATAT  1326\n",
+      "\n",
+      "             || || ||| | ||||| ||||||| | |  ||||||||||| |||| |||||||| |||\n",
+      "\n",
+      "Sbjct  1420  TTGTTGCATCTACTTGGAATGGACAGATTAGCAGCAACAAAGCTTCGCATATTGAATTAT  1479\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1327  ACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAA  1386\n",
+      "\n",
+      "             |||| | |||||||||| ||||| ||||| |||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  1480  ACAAAATATGAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGATGATGAG  1539\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1387  GAGCTTGG---ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || |||||    |||||||||||||||||||||||||||||||| ||||| ||| | | |\n",
+      "\n",
+      "Sbjct  1540  GAACTTGGTCCTCCTGCTGATTGGGTTACTGTAAAGAAATATATCACATGCTTGAACGGC  1599\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||| ||||| || | |||||| ||||   |   |||||   ||   ||||||||||||\n",
+      "\n",
+      "Sbjct  1600  TTGGACGATGAGCCTGTGCATCCTCATGCTGTTTCTGACAGAAATGATCGCATGCATACC  1659\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| ||||||| ||||| || |||||||| |||||||| |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  1660  ATGAACTTAAGGGACATCCGTGTGCGGCTTCTAAATGGTGTCCAAGCTGCTTACTGGGGA  1719\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| ||||||||||||||| | || ||||||||| | |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1720  ATGCTTGAAGAAGGACGAATAACTCAAACCACTGCAAATATTTTAATGAGATCGGTTGAT  1779\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||| ||| |  | |  |||   |||||||| ||| ||||||| |  ||||||\n",
+      "\n",
+      "Sbjct  1780  GAAGCTATGGATCTTGTTCCTACCCAAGAATTATGTGACTGGAAGGGTTTGCGGTCCAAT  1839\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             ||||| || || ||||||||||| ||||| || ||||||||||||||||||| ||| |||\n",
+      "\n",
+      "Sbjct  1840  GTCCATTTTCCAAATTACTATAGGTTCCTTCAAATGAGCAGGTTGCCACGAAGGCTTATC  1899\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             || |||||||||||||||||| ||||||||||||||||||| | |||||||||||| |||\n",
+      "\n",
+      "Sbjct  1900  ACTTACTTCACAGTAGAAAGACTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTCCGT  1959\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||| ||||  ||||| || ||||| ||||| ||||||||||||||||||||||  |||\n",
+      "\n",
+      "Sbjct  1960  GCTCATAGAATCGCAAGACGGCAGCTACATGACTTTCTTGGTGATAGTGAGGTTGCCAGA  2019\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             | ||||||||||||||||||||||||||| ||||| |||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  2020  ATTGTTATTGATGAAAGTAATGCTGAGGGAGAGGAGGCTAGAAAATTCTTGGAAGATGTT  2079\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             |||||||| ||||| |||||||| |||||||| ||| | ||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  2080  CGTGTTACATTCCCTCAGGTGCTTCGTGTGCTGAAGACTCGACAAGTAACATATTCGGTA  2139\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             ||||| ||| ||||||||||||||||||| ||||||||||| ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2140  TTGACCCACTTGAGTGAGTATATTCAAAATCTCCAGAAGACTGGGTTGCTGGAAGAAAAG  2199\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             ||||||   ||| ||||||||||||||||||||||||| ||||| || || |||||||||\n",
+      "\n",
+      "Sbjct  2200  GAAATGGCCCATCTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTCAAGAGGAATCCA  2259\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  |||| ||||||||||||||  |||||||||| ||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  2260  CCATTGGTAAAAATGCCAAGAGTCAGTGATCTTTTGAACACTCATCCGTTAGTTGGTGCA  2319\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||  |  |||||||||||||||||||  ||||||||||| |||  ||| |||\n",
+      "\n",
+      "Sbjct  2320  CTGCCTGCTGCGATGCGTGATCCTTTATTAAGTAGCACAAAAGAAACAGTAAAAGGACAT  2379\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || || |||||||  || ||||||||||| |||||| ||||||||||||| || || \n",
+      "\n",
+      "Sbjct  2380  GGCACAATCCTTTATAGAGAGGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGA  2439\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| ||||||||||  |||||||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2440  GTAGTAAAGTGGACAAGTCAGAGGTTAAGCAGCAGGCATTCATTGGATCCAATTTTATCA  2499\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||||||||  | || ||||||||||||||||| || ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2500  CATGGCAGCACTTTGGGCCTGTATGAGGTGCTGATTGGAAAACCTTATATCTGTGACATG  2559\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |||||||||||||||||||| || |||||  | |||||||||||||| |||||| | |||\n",
+      "\n",
+      "Sbjct  2560  ATTACAGATTCTGTGGTGCACTGCTTCTTCATTGAAGCTGAAAAGATAGAGCAATTGCGT  2619\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             ||||| ||||||||||||||| |||| ||||||||||||||  | |||||  ||||||||\n",
+      "\n",
+      "Sbjct  2620  CAATCAGATCCTTCTATTGAGATTTTTCTGTGGCAGGAAAGTGCTCTAGTCGTTGCCAGG  2679\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||||| || |||  ||| ||||||||||||||||  |||||| ||||||| |||||  ||\n",
+      "\n",
+      "Sbjct  2680  CTTTTGCTCCCTATGATGTTTGAGAAAATGGCAACACATGAGCTCAGGGTTCTCATCACT  2739\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||| || ||||||||| | ||||||||||||||||| |||||||| ||| | | || |\n",
+      "\n",
+      "Sbjct  2740  GAAAGATCTACTATGAACATCTACATTAAGGGTGAAGAAATTGAACTTGAGCAGAATTTC  2799\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||  | |||||||||||||||||||||||||  |||| | | ||||||||||||\n",
+      "\n",
+      "Sbjct  2800  ATTGGCATCTTACTGGAAGGATTTTTGAAGACCAAGAACCAAACTTTGATCACACCTCCA  2859\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             | | | ||||| ||| | |||  | ||||   | |||||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  2860  GGGTTACTGCTACCACCAAATGCCGACTTGAACTTATTTGGTCTCGAGTCATCAGCTATA  2919\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "             ||||   | |||||||| ||||| || ||||| ||||| |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  2920  AACCGCATTGACTACTGTTATACAGCACCCAGCTATCAGGTGGAGGCTAGAGCAAGGATT  2979\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCT  2880\n",
+      "\n",
+      "              | ||| |||| ||||| |||    ||||  ||||||| ||  | || || || || || \n",
+      "\n",
+      "Sbjct  2980  TTGTTCGTTGAGATAGGGAGG---CCCGAAATAGAGGCGGATCTGCAAAGGAGTGCGTCA  3036\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2881  TTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTG--------  2932\n",
+      "\n",
+      "             ||| | || || |||| |||||  ||||||||||  ||||| ||||| || |        \n",
+      "\n",
+      "Sbjct  3037  TTGATATCTCAAACCCTTGAACTGCCTCGGACACAAAGCAAGGAGCACAGCGAGACCATC  3096\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2933  -GTCTGCTCAGTTG-GC-CAGAAAGCTTCCGAAGATCCCGAGCTGAAATCAGAAGCCACC  2989\n",
+      "\n",
+      "                | ||||  | | || ||||| | | ||  ||   |  | |||||||||||  ||| |\n",
+      "\n",
+      "Sbjct  3097  CAGCAGCTCTCTGGAGCTCAGAATGGTGCC--AG---CTTAACTGAAATCAGAGACCATC  3151\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2990  CGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACA  3049\n",
+      "\n",
+      "             | |  ||| ||||| |||||||  ||||||||||||||||||| ||||||||   |||||\n",
+      "\n",
+      "Sbjct  3152  CAGCAAGCTTCTCTGCAAGAGCATTGCAGCTGAGCATGTACGGGAGCATGATCAATGACA  3211\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3050  TGCACTC------AGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACC-  3102\n",
+      "\n",
+      "             || | ||       |||||||| |||||| ||||| ||||||||| || | | |||| | \n",
+      "\n",
+      "Sbjct  3212  TGAAGTCCGGTCAGGGTCAGGGTCAGAGGAGGCAGAGGCATCGTCACACGAAAGCAAGCT  3271\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3103  -----AACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGC  3157\n",
+      "\n",
+      "                  || ||   |||||||||||| || || ||||||||||| ||     |||||||||\n",
+      "\n",
+      "Sbjct  3272  CTAATAAAGC---GCACAGCTCGTCGTACCCAAGAGTGCCTTCGAGTTCGTCCAACACGC  3328\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3158  ---GGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "                |||| ||||| || || ||||| ||||||  ||||||||\n",
+      "\n",
+      "Sbjct  3329  AGAGGCCCCTGCTGTCTGTGCAGTCCGAGGGTGCCAACATGA  3370\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_008647521.3 PREDICTED: Zea mays Sodium/hydrogen exchanger 7 (LOC100383969), \n",
+      "\n",
+      "transcript variant X2, mRNA\n",
+      "\n",
+      "Length=3637\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3304 bits (3663),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2778/3421 (81%), Gaps = 136/3421 (4%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4     GGTGAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATC  63\n",
+      "\n",
+      "             || ||| |||| |||||| | |||||||||||||||| ||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  116   GGCGAGGCTGAGCCTGACAACGCGGTGCTCTTCGTTGGGGTGTCGCTGGTGCTGGGCATC  175\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  64    GCCTCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTC  123\n",
+      "\n",
+      "             ||||| || ||||| ||||| ||||||||||| ||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  176   GCCTCCCGGCACCTCCTCCGCGGCACCCGCGTGCCCTACACCGTCGCCCTTCTCGTCCTC  235\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  124   GGCGTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCT  183\n",
+      "\n",
+      "             ||||| || || || |||||||| | |||||| | ||||||||| ||||| |||||||||\n",
+      "\n",
+      "Sbjct  236   GGCGTCGCGCTTGGATCCCTCGAGTACGGAACACAACATGGTCTAGGCAAGCTTGGAGCT  295\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  184   GGCATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCC  243\n",
+      "\n",
+      "             || |||||||| ||||||||||||||||||||||||||| ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  296   GGAATTCGTATCTGGGCTAACATAAACCCTGATCTTCTGCTGGCTGTTTTTCTACCTGCC  355\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  244   CTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAG  303\n",
+      "\n",
+      "             ||| | || |||||||| || || |||||  | |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  356   CTCCTCTTTGAAAGCTCCTTCTCCATGGAAGTACACCAAATAAAGAGATGTATGGCACAG  415\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  304   ATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTA  363\n",
+      "\n",
+      "             |||||| | ||||||||||| |||||  | ||||||||| |||||||||||  |   |||\n",
+      "\n",
+      "Sbjct  416   ATGGTGTTACTTGCTGGACCTGGTGTGCTAATATCAACAGTTTTACTTGGCGTTGCCGTA  475\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  364   AAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTT  423\n",
+      "\n",
+      "             ||| | |||||||| ||||||||||||||||||  ||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  476   AAGCTCACTTTTCCTTACAACTGGAGCTGGAAAACATCATTGTTGCTTGGCGGACTGCTT  535\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  424   AGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAG  483\n",
+      "\n",
+      "             |||||||||||||| ||||||||||||||||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  536   AGTGCAACTGATCCAGTTGCTGTGGTTGCACTGCTAAAAGAACTCGGAGCAAGTAAAAAG  595\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  484   CTCAGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTAT  543\n",
+      "\n",
+      "             || || ||||| ||||| ||                      || |||||||||| ||||\n",
+      "\n",
+      "Sbjct  596   CTTAGCACAATCATTGAAGG----------------------ACCGCTATTGTTGCCTAT  633\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  544   CAACTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTC  603\n",
+      "\n",
+      "             || ||||| |  ||||||||||| |||||||||||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  634   CAGCTATTCTATCGAATGGTGCTTGGAAGAACCTTTGATGCTGGCTCAATAATAAAGTTC  693\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  604   TTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTA  663\n",
+      "\n",
+      "             || |  |||||| | ||||| ||||||||| ||||||||||||| |||||  | ||| ||\n",
+      "\n",
+      "Sbjct  694   TTGTCTGAAGTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGGAATCATGTCAATA  753\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  664   CTGTGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  723\n",
+      "\n",
+      "             ||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754   CTGTGGCTGGGCTTTATTTTTAACGATACAATCATAGAGATTGCACTTACTCTTGCTGTC  813\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  724   AGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTC  783\n",
+      "\n",
+      "             || |||||||||||||||||||| ||||| || |||||||| |||||||||||| |||||\n",
+      "\n",
+      "Sbjct  814   AGTTATATAGCTTTCTTCACTGCACAAGACTCACTGGAGGTCTCTGGTGTTTTGACTGTC  873\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  784   ATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAG  843\n",
+      "\n",
+      "             |||||  |||||||||| |||||||||||||||||||| ||||| |||||||| || |||\n",
+      "\n",
+      "Sbjct  874   ATGACACTGGGAATGTTCTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGAAAGTCAG  933\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  844   GAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATA  903\n",
+      "\n",
+      "              |||| ||||| ||||| |||||||||||||||||||| |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  934   CAAAGCTTACACCATTTCTGGGAAATGGTTGCTTACATTGCAAATACACTTATTTTTATA  993\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  904   TTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACAT  963\n",
+      "\n",
+      "              |||||||||| |||||||||||||||||||||||||||||||  || ||||| || || \n",
+      "\n",
+      "Sbjct  994   CTGAGTGGGGTTGTTATTGCAGATGGTGTTCTACAAAATAATGGCCACTTTGAGAGGCAC  1053\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  964   GGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTA  1023\n",
+      "\n",
+      "             |||| ||| ||||| |||||||||||||| ||| ||||||| | |||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1054  GGCAGTTCATGGGGCTTCCTTCTTCTGCTCTATGTCTTTGTACAAATATCTCGAGTTATA  1113\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1024  GTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAG  1083\n",
+      "\n",
+      "             ||||||||||||||||| ||  ||||| ||| |||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1114  GTTGTTGGTGTTTTGTACCCGATGTTGCGTCACTTTGGGTATGGGTTGGACTTGAAAGAG  1173\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1084  GCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCT  1143\n",
+      "\n",
+      "             ||||| |||||||| |||||||||||| |||||||||||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  1174  GCCATGATTCTTGTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTGTCACTATCATTATCT  1233\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1144  GTTAAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTT  1203\n",
+      "\n",
+      "             ||||| ||||| || ||| |||| ||| |||| ||  |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1234  GTTAAGCGTACCAGCGATTCAGTTCAACCTTACCTTAAACCAGAAGTTGGAACAATGTTT  1293\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1204  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAA  1263\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||| | ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1294  GTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTTTTAATGGCTCAACCACACAA  1353\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1264  TTTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAA  1323\n",
+      "\n",
+      "             |||||  ||||||| || |||||||||||| |||   | |||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  1354  TTTTTGCTACATATACTCGGCATGGACAAATTGTTGCCCACAAAGCTTCGTATATTGAAA  1413\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1324  TATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGAT  1383\n",
+      "\n",
+      "             ||||||||  | |||||||| || ||||||||||||||||||||||| || |||||||| \n",
+      "\n",
+      "Sbjct  1414  TATACAAGGTACGAAATGCTAAAGAAAGCATTAGAGGCTTTTGGTGAACTAAGGGATGAC  1473\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1384  GAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGAC  1443\n",
+      "\n",
+      "             || || |||||||||||||| ||||||||||||||||||||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  1474  GAGGAACTTGGACCTGCTGACTGGGTTACTGTAAAGAAATATATCACATGTTTGAATGAC  1533\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1444  TTGGATGATGAACCAGAGCATCCCCATGACATTG---ACAAGGATAGCCGCATGCATACC  1500\n",
+      "\n",
+      "              | ||  |||| |||||||||||||||||  |||   || | |||  | ||||||||| |\n",
+      "\n",
+      "Sbjct  1534  CTAGACTATGAGCCAGAGCATCCCCATGATGTTGGTGACGAAGATGACTGCATGCATATC  1593\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||| |||  ||||||||||| |||||| |||||||||| ||||| || || ||||||\n",
+      "\n",
+      "Sbjct  1594  ATGAACTTAACAGATATCCGAGTGCGGCTTTTGAATGGTGTGCAAGCCGCGTACTGGGGA  1653\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||| |||||||||||||||| |||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1654  ATGCTTGAAGAAGGACGAATAACTCAAGTTACAGCAAATATTCTGATGAGATCGGTTGAT  1713\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             ||||||||||||||| | ||  ||||| | |||||||||||| | |||||| | ||||||\n",
+      "\n",
+      "Sbjct  1714  GAAGCTATGGACCTTGTTTCTGGACAAACATTATGTGATTGGAAAGGTTTAAAGTCCAAT  1773\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || |||||||| ||||||||||| ||||| |||| ||| ||||| |||||||||||  ||\n",
+      "\n",
+      "Sbjct  1774  GTGCAGTTCCCAAATTACTATAGGTTCCTTCAGAGGAGTAGGTTACCACGAAAGCTTGTC  1833\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             |||||||||||||| |||||||| ||||| ||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  1834  ACATACTTCACAGTCGAAAGATTAGAGTCTGGATGTTACATCTGTGCTGCATTTCTTCGT  1893\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  |||||||| ||||| |||||||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  1894  GCTCACAGAATCGCAAGGCGGCAGCTACATGATTTTCTTGGTGATAGTGAGGTTGCAAGA  1953\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             |||||||||||||||||||| ||||||||||||||||||| ||||||  |||||||||||\n",
+      "\n",
+      "Sbjct  1954  ACTGTTATTGATGAAAGTAACGCTGAGGGGGAGGAAGCTAGAAAATTCTTGGAAGATGTT  2013\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             || ||||| ||||||||||||||||| ||||||||| | ||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  2014  CGAGTTACATTCCCGCAGGTGCTACGAGTGCTAAAGACACGACAAGTCACATATTCTGTG  2073\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "              |||||||| ||||||||||||||||||||||||||||||| ||| ||||||| || |||\n",
+      "\n",
+      "Sbjct  2074  CTGACACACTTGAGTGAGTATATTCAAAACCTCCAGAAGACTGGGCTGCTGGAAGAGAAG  2133\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             |||||| | ||||||||||||||| ||||||||||||| ||||| ||| | |||||||||\n",
+      "\n",
+      "Sbjct  2134  GAAATGGTCCATTTAGATGATGCTCTGCAGACAGACTTGAAGAAGTTGCAGAGGAATCCA  2193\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             || || |||||||||||||||||  |||||||| | ||||| ||||||||||| || || \n",
+      "\n",
+      "Sbjct  2194  CCAATAGTGAAAATGCCAAGAGTCAGTGATCTTCTGAACACTCATCCTTTAGTTGGCGCG  2253\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||||||||    ||||||| ||||  |||| ||||| || |||||  | |||||||| \n",
+      "\n",
+      "Sbjct  2254  CTGCCTGCTGCTGTACGTGATACTTTGCTAAGCAATACGAAGGAAACCCTGCGAGGGCAG  2313\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || |  || ||||  ||||| || ||||| || ||| | ||||||||||| || |||\n",
+      "\n",
+      "Sbjct  2314  GGCACAACGCTGTATAGAGAAGGATCCAGGCCAACCGGTATCTGGCTTGTTTCTATTGGT  2373\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             |||||||||||| ||||||||||| ||||||| |||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  2374  GTAGTGAAGTGGACAAGTCAGAGATTAAGCAGAAGGCATTCCTTGGATCCAATTTTATCG  2433\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||| ||||| | || |||||||||||||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2434  CATGGGAGCACTCTGGGTCTGTATGAGGTGCTGATTGGAAAGCCATATATCTGTGACATG  2493\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "             |  ||||||||  |||| || ||||||||  | ||| |||||||||| ||  | || |  \n",
+      "\n",
+      "Sbjct  2494  ACCACAGATTCGATGGTACAGTGTTTCTTCATCGAAACTGAAAAGATAGAAGAGCTGCTC  2553\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             || || |||||||| |||||| |||||||||||||||||||  | || ||  ||||||||\n",
+      "\n",
+      "Sbjct  2554  CATTCAGATCCTTCGATTGAGATTTTCCTGTGGCAGGAAAGTGCTCTGGTGCTTGCCAGG  2613\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             |||||  | ||||| | ||| |||||||||| |||||||||||| ||||| ||  |||||\n",
+      "\n",
+      "Sbjct  2614  CTTTTGGTCCCTCATAGATTCGAGAAAATGGGAATGCATGAGATGAGGGTTCTGGTTGCT  2673\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             ||||||||||| |||||| ||||||| ||||| |||||| | ||| ||||| | | || |\n",
+      "\n",
+      "Sbjct  2674  GAAAGGTCGACGATGAACATATACATCAAGGGAGAAGACTTGGAAGTGGAGCAGAATTGC  2733\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "             ||||||||| |||||||||| || ||||||| | |||  |  | ||||||||| || |||\n",
+      "\n",
+      "Sbjct  2734  ATTGGCATTTTGCTGGAAGGGTTCTTGAAGATCGAGAACCTGACTCTCATCACGCCCCCA  2793\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATG  2760\n",
+      "\n",
+      "             ||| |||| || |||| ||||    ||||   | |||| ||||| || || |||      \n",
+      "\n",
+      "Sbjct  2794  GCGTTGCTTCTGCCATGGAATGCTGACTTGAGCTTATTCGGTCTCGAGTCCTCA------  2847\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2761  AACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATT  2820\n",
+      "\n",
+      "                      ||||||||| ||||||| | ||| ||||| ||||| || |||||  |||| \n",
+      "\n",
+      "Sbjct  2848  ---------GACTACTGCCATACTGCACGCAGGTATCAGGTGGAAGCCAGAGCGCGGATC  2898\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2821  ATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTG-ACATC--------CAGAGA  2871\n",
+      "\n",
+      "             |||||||| ||               ||||| |||||| |  ||||        |||| |\n",
+      "\n",
+      "Sbjct  2899  ATCTTCTTCGA---------------CGAGGCAGAGGCCGCCCATCTTCATGTTCAGACA  2943\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2872  AGCGCATCTTTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGT  2931\n",
+      "\n",
+      "             || || ||   | || ||||      ||| ||  | ||||   ||||||| ||||| || \n",
+      "\n",
+      "Sbjct  2944  AGTGCGTC---GCTGCCCCA---AGGTGAGCCAGCACGGAGCATGAGCAAGGAGCACAGC  2997\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2932  GGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCCGAG-----CTGAAATCAGAAGC-  2985\n",
+      "\n",
+      "             ||  ||||||| ||||| || |||||||| || || || |     ||    | || ||| \n",
+      "\n",
+      "Sbjct  2998  GGCTTGCTCAGCTGGCCCGAGAGCTTCCGGAGGTCTCGTGGCAGCCTAGGCTTAGCAGCT  3057\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2986  ------CACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATG  3039\n",
+      "\n",
+      "                   |  |||||| || | ||| | || |||||||| ||||||||||||||  |||  \n",
+      "\n",
+      "Sbjct  3058  GAGATGCTGCCGGGCGGCTTGTCTTCCAGGGCCCTGCAACTGAGCATGTACGGGGGCAGC  3117\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3040  ATGGTTGACATGCACTCAGG---TCAGGGCCAGAGGCGGCAGCGG---CATCGTCGCATG  3093\n",
+      "\n",
+      "              ||||   | |   ||| ||    ||||| ||  |||||||| ||   | || |||| ||\n",
+      "\n",
+      "Sbjct  3118  GTGGTGAGCCTCTCCTCCGGCCAGCAGGGTCACCGGCGGCAGAGGCCACGTCATCGCGTG  3177\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3094  CAGGCAACCA--ACG-------------CGAGGCACAGCTCGTCCTATCCCAGAGTGCCT  3138\n",
+      "\n",
+      "             |||||  |||  |||              || ||||||||| ||||| |||||  |||| \n",
+      "\n",
+      "Sbjct  3178  CAGGCGGCCACGACGATGACAAACCAGAAGAAGCACAGCTCTTCCTACCCCAGGATGCCA  3237\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3139  TCAAGACAAGCCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAAC  3198\n",
+      "\n",
+      "             || |    | ||||   ||||| |||||||||||| ||||||||||| | ||||||||| \n",
+      "\n",
+      "Sbjct  3238  TCCA---TATCCAAGGAGCGGCATCTGCTCTCCGTGCAGTCGGAGGGCTCCAACATGAAG  3294\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3199  AGGTTGCCTGCTTCTCCT----------ACACCG--CCTGCTCCAGCTCCGGTA----AG  3242\n",
+      "\n",
+      "             ||  || | |||   |||           |||||  |||||||| ||   || |    ||\n",
+      "\n",
+      "Sbjct  3295  AGAGTGGCAGCTCTACCTGAGGTTGCTGCCACCGCTCCTGCTCCGGCAGGGGCAGCACAG  3354\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3243  ----ATCTGAGGG----------GATGGAAGACAACAACTCAAGCGACGAGTCTGCAGGG  3288\n",
+      "\n",
+      "                 | | |||||          |  ||| ||  ||||||| ||||| || || || || \n",
+      "\n",
+      "Sbjct  3355  GGGCAGCGGAGGGCTATGAACTTGCAGGAGGAATACAACTCGAGCGAAGACTCCGCCGGC  3414\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3289  GAGGAAGTCATCGTCCGAGTCGACTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             || |||||||||||| |||| ||||| || |||||||| ||||| ||| ||||| ||| |\n",
+      "\n",
+      "Sbjct  3415  GAAGAAGTCATCGTCAGAGTTGACTCGCCCAGCATGCTCTCTTTCCGTGAGTCCACCGCC  3474\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3349  G  3349\n",
+      "\n",
+      "             |\n",
+      "\n",
+      "Sbjct  3475  G  3475\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_003576457.4 PREDICTED: Brachypodium distachyon sodium/hydrogen exchanger \n",
+      "\n",
+      "8 (LOC100844706), mRNA\n",
+      "\n",
+      "Length=3824\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3241 bits (3593),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2743/3374 (81%), Gaps = 70/3374 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | ||| ||||| ||||| || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  306   CCCGACGACGCGGTGCTCTTCTTCGGGGTGTCGCTCGTGCTCGGGATCGCATCCCGCCAC  365\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||| ||||||||||||||||||| || || ||| |||||||| | ||||| \n",
+      "\n",
+      "Sbjct  366   CTCCTCCGCGGCTCCCGCGTCCCCTACACCGTCGCGCTGCTCGTCCTCGGCATCGCCCTA  425\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             || || || |||| ||| ||   | ||||||| || |||||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  426   GGATCGCTAGAATACGGGACGAAAGATGGTCTAGGGAAACTTGGAGCTGGGATTCGTATC  485\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             |||||||||||||| ||||| |||||  | || ||||| || ||||| ||| | || |||\n",
+      "\n",
+      "Sbjct  486   TGGGCTAACATAAATCCTGACCTTCTTCTCGCCGTTTTCCTTCCTGCGCTCCTCTTTGAA  545\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || ||||| || ||||| ||||||| ||| |||||||| ||| |  | |||\n",
+      "\n",
+      "Sbjct  546   AGCTCCTTCTCCATGGAAATACACCAGATCAAGAAATGCATGGCACAAATGCTATTACTT  605\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||| ||||| ||  | ||||| ||| |||| |||||||||  | | ||| ||||||||\n",
+      "\n",
+      "Sbjct  606   GCTGGCCCAGGCGTGCTAATATCGACATTTTTTCTTGGCACTGCTTTGAAGCTTACTTTT  665\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             |||||||| |||  |||||||   ||||||||||||||||| || || ||||| || |||\n",
+      "\n",
+      "Sbjct  666   CCATACAATTGGGACTGGAAAACTTCATTGTTGCTTGGTGGGCTGCTCAGTGCCACCGAT  725\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || ||||||||||||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  726   CCTGTTGCTGTGGTTGCGCTTCTAAAAGATCTCGGAGCAAGTAAAAAGATCAGCACAATC  785\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             || ||||| |||||  ||||||| ||||||||||||||||| ||||||||  |||| |  \n",
+      "\n",
+      "Sbjct  786   ATCGAGGGAGAATCCTTAATGAATGATGGGACTGCTATTGTGGTCTATCAGTTATTCTAC  845\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             | |||||||||||||||||||||  |||| || ||||| ||||||||||| |  ||||||\n",
+      "\n",
+      "Sbjct  846   CAAATGGTGCTCGGAAGAACCTTCAATGCAGGGTCAATAATAAAGTTCTTGTCAGAAGTT  905\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  906   GCACTTGGAGCTGTTGCTTTGGGCCTTGCATTTGGAATTGTATCAGTACTATGGCTGGGC  965\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| | ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  966   TTTATTTTCAATGATACAATCATAGAGATTTCTCTTACTCTTGCCGTCAGCTATATTGCT  1025\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||| ||||| |||||| |||||||||| |||||||||||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1026  TTCTTTACTGCACAAGATGCGCTGGAGGTCTCTGGTGTTTTGACTGTCATGACCTTGGGA  1085\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             |||||||||||||||||||||||||| ||||| |||||||| || ||| ||||||| |||\n",
+      "\n",
+      "Sbjct  1086  ATGTTTTATGCAGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGTCAGCAAAGTTTGCAT  1145\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| || || || ||||| || ||  |||||||||| \n",
+      "\n",
+      "Sbjct  1146  CATTTCTGGGAAATGGTTGCTTACATTGCGAACACGCTTATATTCATTCTGAGTGGGGTT  1205\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||||||||| | |||||||| || ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1206  GTTATTGCAGATGGTGTGCTACAAAATAATATCCATTTTGAGAGGCATGGCACTTCATGG  1265\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| |||| || ||| |||| || | | ||||||||||||||\n",
+      "\n",
+      "Sbjct  1266  GGGTTCCTTCTTCTGCTCTATGTCTTAGTGCTAGTATCACGGGCTTTAGTTGTTGGTGTT  1325\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "              | |||||  ||||| ||| ||| ||||||||||||||| ||||||| |||| |||||| \n",
+      "\n",
+      "Sbjct  1326  CTATATCCGCTGTTGCGTCACTTCGGGTATGGTTTGGACCTGAAAGAAGCCACAATTCTC  1385\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||||||| |||||||||||||||||||||||||| | |||||||||||||| \n",
+      "\n",
+      "Sbjct  1386  GTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTATCACTATCACTGTCTGTTAAACGTACT  1445\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             || |||||||| ||| | |||||| |||| ||||| ||| ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1446  AGCGATGCAGTTCAACCGTATCTGAAACCGGAAGTCGGAGCAATGTTTGTGTTCTTCACT  1505\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| || |||||||| |||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1506  GGTGGCATCGTTTTTCTGACTTTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1565\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | ||||| ||||||||||| || ||||||||| |||| ||||| || ||||||||| ||\n",
+      "\n",
+      "Sbjct  1566  CTACTTGGTATGGACAAACTTTCTGCAACAAAGCTTCGCATATTAAACTATACAAGATAT  1625\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1626  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGAGGATGAAGAACTTGGA  1685\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||||||||||||||||||| ||||||||||| ||||| ||| || ||||||| ||||| \n",
+      "\n",
+      "Sbjct  1686  CCTGCTGATTGGGTTACTGTTAAGAAATATATCACATGCTTGAATAACTTGGAAGATGAG  1745\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             |    |||||| |||||  |   |||||  ||   || | |||||||||||||| |||||\n",
+      "\n",
+      "Sbjct  1746  CGTACGCATCCTCATGATGTTTCTGACAGAGACGACCACGTGCATACCATGAACTTAAGG  1805\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||| ||||| |||||| |||||||||| ||||| || |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1806  GATATTCGAGTGCGGCTTTTGAATGGTGTGCAAGCCGCTTATTGGGGAATGCTTGAAGAG  1865\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||| |||||||||||||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1866  GGACGGATAACTCAAGCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGA-  1924\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "               | |||| || ||| | |||||||| ||| |||| || |  |||| |||||| ||||| \n",
+      "\n",
+      "Sbjct  1925  --TCTCTCTAGCCAATCATTATGTGACTGGAAGGGGTTGCGGTCCAGTGTCCATTTCCCA  1982\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||| |||||||| |||| ||| |||||| | || |||\n",
+      "\n",
+      "Sbjct  1983  AATTACTATAGGTTCCTTCAGATGAGTAGGTTGCCGCGAAGGCTTATCACACAATTTACA  2042\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||| ||||||||||||||||||||| |||| |\n",
+      "\n",
+      "Sbjct  2043  GTAGAAAGATTGGAGTCAGGATGTTACATATGTGCTGCATTTCTTCGTGCTCATAGAATT  2102\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             |||||| |||| ||||||||||||||||||||||||||| ||| ||||| ||||||||||\n",
+      "\n",
+      "Sbjct  2103  GCAAGGAGACAACTGCATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTTATTGAT  2162\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             |||||||||||||  |||||||| |||| ||| ||| |||||||||| ||||| || |||\n",
+      "\n",
+      "Sbjct  2163  GAAAGTAATGCTGTTGGGGAGGAGGCTAGAAAGTTTTTGGAAGATGTCCGTGTAACATTC  2222\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| | |||||||||| |  ||||||| ||||||||||||||||||||| | \n",
+      "\n",
+      "Sbjct  2223  CCTCAGGTGCTTCATGTGCTAAAGACTAGACAGGTGACATATTCAGTATTGACACACTTA  2282\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             |||||||||||||||||||||||||| || || || || || |||||||| ||| | |||\n",
+      "\n",
+      "Sbjct  2283  AGTGAGTATATTCAAAACCTCCAGAAAACTGGATTACTCGAAGAAAAGGAGATGGTCCAT  2342\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              ||||||||||||||||||||||||| |||||  | || |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2343  CTAGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCACCATTGGTGAAA  2402\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             ||||||||||| || |||||||||||||| |||||||| || || |||||||||||||  \n",
+      "\n",
+      "Sbjct  2403  ATGCCAAGAGTCGGCGATCTTTTAAACACTCATCCTTTGGTCGGCGCACTGCCTGCTGCT  2462\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "             |  |||||||| || |||||||||||||||||| | |||  ||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2463  ATGCGTGATCCGTTGTTAAGTAATACAAAAGAAGCAGTAAAAGGACATGGAACAGTCCTT  2522\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             |||| ||||||||||||||| |||||| ||||||| |||||| | ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2523  TATAGGGAAGGCTCAAGGCCAACTGGTATATGGCTCGTTTCAGTTGGAATAGTAAAGTGG  2582\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||| ||||  ||||||||||||| |||||||||||||||||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2583  ACAAGTCAGCGACTGGGCAGCAGGCATTCATTGGATCCAATTTTATCACATGGAAGCACT  2642\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||| || |   | || || ||| | ||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  2643  TTGGGTCTATATGAAGCATTAATAGGGAAGTCTTATATTTGTGACATGATTACAGATTCC  2702\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | |||||||||||||| |||||| | |||||  | ||||||\n",
+      "\n",
+      "Sbjct  2703  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAGATAGAGCAATTGCGTCAGGCAGATCCT  2762\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| ||| ||||||||||||||  | ||||| ||||||||  |||| || |||\n",
+      "\n",
+      "Sbjct  2763  TCTATTGAGGCTTTTCTGTGGCAGGAAAGTGCTCTAGTCATTGCCAGAGTTTTGCTCCCT  2822\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             | |||||||||||||||||||||||||||||| ||||| ||||||||||||||  | | |\n",
+      "\n",
+      "Sbjct  2823  CGGATATTTGAGAAAATGGCAATGCATGAGATGAGGGTTCTCATTGCTGAAAGAGCTAAT  2882\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||| | ||||||||||| ||||| |||||||| ||| | | |  ||| ||  |  | \n",
+      "\n",
+      "Sbjct  2883  ATGAACATCTACATTAAGGGGGAAGATATTGAACTTGAGCATAATACCATCGGGGTCTTA  2942\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "             |||||||||||||||||||| | ||  |||| | | ||||| |||||||  || || || \n",
+      "\n",
+      "Sbjct  2943  CTGGAAGGATTTTTGAAGACAAGGAACCAAAGTTTGATCACGCCTCCAGGAGTACTTCTA  3002\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             ||||| || | | |  |   | | ||||||||  | ||||||||    |||| | |||||\n",
+      "\n",
+      "Sbjct  3003  CCATCAAACACCGATCTGAACTTGTTTGGTCTGCAGTCTTCAGCCTCCAACCGTATGGAC  3062\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             | |||||| ||||| ||||| ||||| ||||| || ||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3063  TTCTGCTACACTGCACCCAGCTATCAGGTGGAAGCTAGAGCTAGGATTATCTTCTTTGAA  3122\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAG  2892\n",
+      "\n",
+      "             ||||||||||   | ||   ||||||  |  | || ||||||          |||| || \n",
+      "\n",
+      "Sbjct  3123  ATAGGAAGGG---CAGACACAGAGGCCAATCTGCAAAGAAGC---------ATGTCTCAA  3170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2893  ACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAA  2952\n",
+      "\n",
+      "             ||    |||   || ||||  ||||||||||||||||| ||  |||| |||||||| || \n",
+      "\n",
+      "Sbjct  3171  ACTGTCGAAGTGCCACGGATGCTGAGCAAAGAGCATAGCGGGTTGCTGAGTTGGCCGGAG  3230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2953  AGCTTCCGAAGATCCCGAG---------------------CTGAAATCAGAAGCCACCCG  2991\n",
+      "\n",
+      "             |||||||| | ||||  ||                     |||| ||||||| ||| || \n",
+      "\n",
+      "Sbjct  3231  AGCTTCCGGAAATCCATAGGGCCTCAACATGCCAGCTTAACTGATATCAGAAACCATCCT  3290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2992  GGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACATG  3051\n",
+      "\n",
+      "             || ||||| ||| | |||||  ||||||||||||||||||| ||||||||   || ||||\n",
+      "\n",
+      "Sbjct  3291  GGTAGCCTGTCTGCTAGAGCTTTGCAGCTGAGCATGTACGGCAGCATGATTAATGTCATG  3350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3052  CACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGC--AACCAACGCGA  3109\n",
+      "\n",
+      "              || | ||||||    ||   || | | |||   || ||| ||| ||   |  |||  ||\n",
+      "\n",
+      "Sbjct  3351  GACGCTGGTCAG---AAGTTTCGTC-GTGGC-GGGTTGCAAGCAAGCCAGAAGAACCAGA  3405\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3110  GGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCT  3169\n",
+      "\n",
+      "              ||| || || ||||| || ||||| ||||||||   | ||||| | ||||||||||| |\n",
+      "\n",
+      "Sbjct  3406  AGCAGAGTTCATCCTACCCAAGAGTCCCTTCAAGGTCATCCAACGCACGGCCTCTGCTAT  3465\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3170  CCGTTCAGTCGGAGGGTTTCAA---CATGAACAGGTTGCCTGCTTCTC---CTACACCGC  3223\n",
+      "\n",
+      "             | || ||||| ||||||| |||    |||| |||     || |  |||   || |  | |\n",
+      "\n",
+      "Sbjct  3466  CTGTGCAGTCCGAGGGTTCCAATCTGATGAGCAGAAAAGCTCCAGCTCTGGCTCCGGCTC  3525\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3224  CTGCTCCAGC-----------TCCGGTAAGATCTG----AGGGGATGGAAGACAACAACT  3268\n",
+      "\n",
+      "             | ||||||||            |||| ||   | |    ||| ||| |||||  |||| |\n",
+      "\n",
+      "Sbjct  3526  CAGCTCCAGCAGCGGGGGCAAGCCGGCAAAGGCAGCGCAAGGCGATAGAAGATGACAAGT  3585\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3269  CAAGCGACGAGTCTGCAGGGGAGGAA---GTCATCGTCCGAGTCGACTCCCCTAGCATGC  3325\n",
+      "\n",
+      "             | || || ||||| ||||| || |||   ||||| ||| | |||||||| || |||||||\n",
+      "\n",
+      "Sbjct  3586  CGAGTGATGAGTCAGCAGGAGAAGAAGAGGTCATTGTCAGGGTCGACTCTCCCAGCATGC  3645\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3326  TGTCTTTTCGTCAG  3339\n",
+      "\n",
+      "             ||||||||  ||||\n",
+      "\n",
+      "Sbjct  3646  TGTCTTTTACTCAG  3659\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">KC113048.1 Indosasa sinica plasmalemma Na+/H+ antiporter (sos1) mRNA, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3126\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3232 bits (3583),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2593/3129 (83%), Gaps = 80/3129 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  291   ATGTATGGCACAGATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACT  350\n",
+      "\n",
+      "             ||| |||||||| |||||| | ||||||||||||||||| ||  |||||||| |||| ||\n",
+      "\n",
+      "Sbjct  1     ATGCATGGCACAAATGGTGTTACTTGCTGGACCAGGTGTGGTCGTATCAACATTTTTCCT  60\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  351   TGGCACTCTTGTAAAGGT--------------TACTTTTCCATACAACTGGAGCTGGAAA  396\n",
+      "\n",
+      "             |||||||  ||||||| |              ||||||||||||| | |||| |||||| \n",
+      "\n",
+      "Sbjct  61    TGGCACTGCTGTAAAGTTGATGTGCCACAGCTTACTTTTCCATACGATTGGAACTGGAAG  120\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  397   GTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGATCCTGTTGCTGTGGTTGCACTG  456\n",
+      "\n",
+      "               |||||||||||| |||||||| ||||||||||| |||||||| ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  121   ACATCATTGTTGCTCGGTGGACTGCTTAGTGCAACCGATCCTGTCGCTGTTGTTGCAATG  180\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  457   CTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATAATTGAGGGTGAATCGCTAATG  516\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||||||||||||||||||||| |||||  |||||\n",
+      "\n",
+      "Sbjct  181   CTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATAATTGAGGGAGAATCCTTAATG  240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  517   AACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTACGAATGGTGCTCGGAAGAACC  576\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||  |||| |   | |||||||||||||||| |\n",
+      "\n",
+      "Sbjct  241   AACGATGGGACTGCTATTGTTGTCTATCAGTTATTCTATAGGATGGTGCTCGGAAGAAGC  300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  577   TTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTG  636\n",
+      "\n",
+      "             |  ||||| || ||||| ||||||||||| |  |||||||| ||||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  301   TCCGATGCAGGATCAATAATAAAGTTCTTGTCAGAAGTTGCACTTGGAGCTGTTGCTCTG  360\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  637   GGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGCTTTATTTTTAATGATACAATC  696\n",
+      "\n",
+      "             |||||||| || ||||||| ||||||| ||||||||||||||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  361   GGCCTTGCGTTTGGAATTGCATCAGTATTGTGGCTGGGCTTTATTTTCAACGATACAATC  420\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  697   ATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCTTTCTTCACTGCCCAAGATTCG  756\n",
+      "\n",
+      "             ||||||||  | ||||||||||||||||||||||| |||||||||||||| |||||| | \n",
+      "\n",
+      "Sbjct  421   ATAGAGATCACGCTTACTCTTGCTGTCAGCTATATTGCTTTCTTCACTGCGCAAGATGCA  480\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  757   CTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGAATGTTTTATGCAGCTTTTGCA  816\n",
+      "\n",
+      "             |||||| | |||||||||||| |||| ||||| |||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  481   CTGGAGATCTCTGGTGTTTTGACTGTTATGACCTTGGGAATGTTTTATGCAGCTTTTGCA  540\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  817   AAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACATCATTTTTGGGAAATGGTTGCT  876\n",
+      "\n",
+      "             ||||| ||||| |||||||| || ||| ||||||| |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  541   AAAACTGCTTTTAAGGGTGACAGTCAGCAAAGTTTGCATCATTTCTGGGAAATGGTTGCT  600\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  877   TACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTA  936\n",
+      "\n",
+      "             ||||| || || || || ||||| ||| |||||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  601   TACATTGCGAACACGCTAATTTTCATACTGAGTGGGGTTGTTATTGCAGATGGTGTACTA  660\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  937   CAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTAT  996\n",
+      "\n",
+      "             ||||||||||  |||||||| || ||||||||||| ||||| ||||||||||| || |||\n",
+      "\n",
+      "Sbjct  661   CAAAATAATGACCATTTTGAGAGGCATGGCACTTCATGGGGCTTCCTTCTTCTACTCTAT  720\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  997   ATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGC  1056\n",
+      "\n",
+      "              ||||||| | |||||| || ||||||||||| |||||||||||||| |||||| ||  |\n",
+      "\n",
+      "Sbjct  721   GTCTTTGTGCAAATATCGCGGGTTGTAGTTGTCGGTGTTTTGTATCCGTTGTTGCGTTAC  780\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1057  TTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGG  1116\n",
+      "\n",
+      "             ||||||||||| |||||||| ||||| |||| ||||||||| |||||||||||| |||||\n",
+      "\n",
+      "Sbjct  781   TTTGGGTATGGCTTGGACTTCAAAGAAGCCACAATTCTTGTTTGGTCAGGGCTGCGAGGG  840\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1117  GCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACAAGTGATGCAGTCCAAACTTAT  1176\n",
+      "\n",
+      "             |||||||||||||||||||| || |||||||||||| | ||||||||||| ||| |||||\n",
+      "\n",
+      "Sbjct  841   GCTGTTGCTCTATCACTATCGTTGTCTGTTAAACGTGCTAGTGATGCAGTTCAACCTTAT  900\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1177  CTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACTGGTGGCATTGTGTTTCTGACA  1236\n",
+      "\n",
+      "             ||  |||| ||||| |||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  901   CTTAAACCGGAAGTCGGAACAATGTTTGTGTTCTTCACTGGTGGCATTGTGTTTCTGACA  960\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1237  TTGATTGTAAATGGTTCAACCACACAATTTTTCTTACATATGCTTGGCATGGACAAACTG  1296\n",
+      "\n",
+      "             |||||| | |||||||| |||||||||||||| || |   ||||||| |||||||| |||\n",
+      "\n",
+      "Sbjct  961   TTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCGCCTGCTTGGAATGGACAAGCTG  1020\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1297  TCAGCAACAAAGGTTCGGATATTGAAATATACAAGACATGAAATGCTGAACAAAGCATTA  1356\n",
+      "\n",
+      "             |||||||| ||| |||| |||||||| ||||||||| | |||||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  1021  TCAGCAACGAAGCTTCGCATATTGAATTATACAAGATACGAAATGCTAAACAAGGCATTA  1080\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1357  GAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGACCTGCTGATTGGGTTACTGTA  1416\n",
+      "\n",
+      "             |||||||||||||| |||||||| ||||| || |||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1081  GAGGCTTTTGGTGATCTTAGGGAAGATGAGGAACTTGGACCTGCTGATTGGGTTACTGTA  1140\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1417  AAGAAATATATTACATGTTTGCATGACTTGGATGATGAACCAGAGCATCCCCATGACATT  1476\n",
+      "\n",
+      "             |||| |||||||||||| ||| || ||||||| |||||||| | |||||| |||||  ||\n",
+      "\n",
+      "Sbjct  1141  AAGACATATATTACATGCTTGAATAACTTGGAAGATGAACCTGCGCATCCTCATGATGTT  1200\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1477  ---GACAAGGATAGCCGCATGCATACCATGAACCTAAGGGATATCCGAGTTCGGCTTCTG  1533\n",
+      "\n",
+      "                ||||  |||   | ||| ||| |||||||| |||||||||||||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1201  TCTGACAGAGATGATCACATACATTCCATGAACTTAAGGGATATCCGAGTGCGGCTTTTG  1260\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1534  AATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAGGGACGAATAACTCAAGCTACA  1593\n",
+      "\n",
+      "             |||||||| ||||| || || ||||||||||||||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  1261  AATGGTGTGCAAGCCGCTTACTGGGGAATGCTTGAAGAGGGACGGATAACTCAAGCTACG  1320\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1594  GCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGACCTTATCTCCAGACAACCCTTA  1653\n",
+      "\n",
+      "             ||||||||| | |||||||| ||||||||||||||||| ||| | ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  1321  GCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGATCTTGTTTCCAGCCAACCATTA  1380\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1654  TGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCGAATTACTATAGATTCCTCCAG  1713\n",
+      "\n",
+      "             || |||||| ||||||| | ||||||||| || ||||| |||||||| || ||||| |||\n",
+      "\n",
+      "Sbjct  1381  TGCGATTGGAAGGGTTTGCGATCCAATGTTCATTTCCCAAATTACTACAGGTTCCTTCAG  1440\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1714  ATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACAGTAGAAAGATTGGAGTCAGGA  1773\n",
+      "\n",
+      "             ||||||||||||||||||  ||| ||||||||||| |||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1441  ATGAGCAGGTTGCCACGAGGGCTTATCACATACTTTACAGTAGAAAGATTGGAGTCCGGA  1500\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1774  TGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACTGCAAGGCGACAGCTGCATGAT  1833\n",
+      "\n",
+      "             || ||||| | ||||||||||||||||||||| |||| ||| ||| | || || ||| ||\n",
+      "\n",
+      "Sbjct  1501  TGCTACATCTGTGCTGCATTTCTTCGTGCTCATAGAATTGCGAGGAGGCAACTACATAAT  1560\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1834  TTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGATGAAAGTAATGCTGAGGGGGAG  1893\n",
+      "\n",
+      "             |||||||||||||||||| ||| ||||| ||||||||||||||| ||||| ||| |||||\n",
+      "\n",
+      "Sbjct  1561  TTTCTTGGTGATAGTGAGATTGCAAGAATTGTTATTGATGAAAGCAATGCCGAGCGGGAG  1620\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1894  GAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTA  1953\n",
+      "\n",
+      "             ||||||| ||| ||| ||||| | ||||||||| | ||||| ||||| || |  ||||||\n",
+      "\n",
+      "Sbjct  1621  GAAGCTAGAAATTTTTTGGAAAAAGTTCGTGTTGCATTCCCTCAGGTACTTCACGTGCTA  1680\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1954  AAGGCCCGACAGGTCACATATTCAGTATTGACACACCTGAGTGAGTATATTCAAAACCTC  2013\n",
+      "\n",
+      "             ||| | ||||| || |||||||| |||||||||||| |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1681  AAGACTCGACAAGTAACATATTCGGTATTGACACACTTGAGTGAGTATATTCAAAACCTC  1740\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2014  CAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCATTTAGATGATGCTTTGCAGACA  2073\n",
+      "\n",
+      "             | |||||| ||| ||||||| |||||||||||| | ||| ||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1741  CGGAAGACCGGGCTGCTGGAAGAAAAGGAAATGGTCCATCTAGATGATGCTTTGCAGACA  1800\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2074  GACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTT  2133\n",
+      "\n",
+      "             ||||| |||||  | || |||||||||||  |||||||||||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  1801  GACTTGAAGAAGCTTAAGAGGAATCCACCACTGGTGAAAATGCCAAGAGTCAGTGATCTT  1860\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2134  TTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTCACACGTGATCCTTTATTAAGT  2193\n",
+      "\n",
+      "             |||||||| ||||||||||| ||||| ||||||||||     ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1861  TTAAACACTCATCCTTTAGTTGGTGCGCTGCCTGCTGCTGTGCGTGATCCTTTATTAAGT  1920\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2194  AATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCC  2253\n",
+      "\n",
+      "             |||||||||||||| |||  ||| ||||| || || ||||||| ||||||||||||||||\n",
+      "\n",
+      "Sbjct  1921  AATACAAAAGAAACAGTAAAAGGACATGGCACAATCCTTTATAGGGAAGGCTCAAGGCCC  1980\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2254  ACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGC  2313\n",
+      "\n",
+      "             |||||| ||||||||||||| || || ||||| |||||| |||| |||||| ||||||||\n",
+      "\n",
+      "Sbjct  1981  ACTGGTATATGGCTTGTTTCGATTGGAGTAGTAAAGTGGACAAGCCAGAGATTAAGCAGC  2040\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2314  AGGCATTCCTTGGATCCAATTTTATCACACGGAAACACTTTGGGTTTATACGAGGTGCTG  2373\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||| |||| ||| |||||| |||| |||||||| \n",
+      "\n",
+      "Sbjct  2041  AGGCATTCATTGGATCCAATTTTATCACATGGAAGCACCTTGGGTCTATATGAGGTGCTA  2100\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2374  ATTGGAAAGCCATATATTTGTGATATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTA  2433\n",
+      "\n",
+      "             ||||||||||| ||||||||||| |||||||||||||||||||| || ||||||||  | \n",
+      "\n",
+      "Sbjct  2101  ATTGGAAAGCCTTATATTTGTGACATGATTACAGATTCTGTGGTACAATGTTTCTTCATC  2160\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2434  GAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGG  2493\n",
+      "\n",
+      "             ||| |||||||||| ||||| ||  |||| || ||||||||| |||||| ||| ||||||\n",
+      "\n",
+      "Sbjct  2161  GAAACTGAAAAGATAGAGCAGCTGTGTCAGTCAGATCCTTCTGTTGAGGCTTTTCTGTGG  2220\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2494  CAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCA  2553\n",
+      "\n",
+      "             ||||||||| | |||||   |||||| ||||| ||||| |||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2221  CAGGAAAGCGCTCTAGTGGCTGCCAGTCTTTTGCTTCCCCAGATATTTGAGAACATGGCA  2280\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2554  ATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACTATGAACGTATACATTAAGGGT  2613\n",
+      "\n",
+      "             ||||||||||||||| | |||||||||||||| || ||||||||  | ||||||||||| \n",
+      "\n",
+      "Sbjct  2281  ATGCATGAGATCAGGATTCTCATTGCTGAAAGATCTACTATGAAGATCTACATTAAGGGA  2340\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2614  GAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTGCTGGAAGGATTTTTGAAGACC  2673\n",
+      "\n",
+      "             |||||||| | ||| ||| | | || |||||||||  | |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2341  GAAGACATAGCACTCGAGCAGAATTGCATTGGCATCTTACTGGAAGGATTTTTGAAGACC  2400\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2674  AAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCC  2733\n",
+      "\n",
+      "              | |  |||||| | ||| |||||||||  ||||| || || || || | | | ||   |\n",
+      "\n",
+      "Sbjct  2401  GATAACCAAAATTTGATCGCACCTCCAGGAGTGCTACTGCCGTCAAACACCGATTTGAAC  2460\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2734  CTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGT  2793\n",
+      "\n",
+      "              ||||||||||  | || ||||||||||||||| | |||||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  2461  TTATTTGGTCTGCAGTCGTCAGCTATGAACCATATCGACTACTGCTATACGGCACCCAGC  2520\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2794  TATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTA  2853\n",
+      "\n",
+      "             ||||| |||||||| ||||| ||| |||||||||| |||||||| |||    | |||  |\n",
+      "\n",
+      "Sbjct  2521  TATCAGGTGGAGGCTAGAGCTAGGGTTATCTTCTTCGAAATAGGGAGG---CCAGAGACA  2577\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2854  GAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAGACCCATGAACCTCCTCGGACA  2913\n",
+      "\n",
+      "             ||||| ||  | || ||||| ||||| ||| || | ||  ||| |||| | || || |||\n",
+      "\n",
+      "Sbjct  2578  GAGGCCGATCTGCAAAGAAGTGCATCATTGCTGCCTCAACCCCTTGAAGCGCCACGAACA  2637\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2914  CTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCCGAG--  2971\n",
+      "\n",
+      "             ||||||||||||||||| ||| ||||||| ||||||||||||||||| | |||| |||  \n",
+      "\n",
+      "Sbjct  2638  CTGAGCAAAGAGCATAGCGGTTTGCTCAGCTGGCCAGAAAGCTTCCGGAAATCCAGAGGG  2697\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2972  -------------------CTGAAATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCC  3012\n",
+      "\n",
+      "                                ||||||||| || ||| ||||  ||| ||||  | ||||| \n",
+      "\n",
+      "Sbjct  2698  CCTCAGAACGCCAGCTTAACTGAAATCATAAACCAACCGGCTAGCTTCTCCGCTAGAGCA  2757\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3013  CTGCAGCTGAGCATGTACGGAAGCAT------GATGGTTGACATGCACT---CAGGTCAG  3063\n",
+      "\n",
+      "              ||||||||||||||||||| |||||      |||    |||||| |||   |   ||||\n",
+      "\n",
+      "Sbjct  2758  TTGCAGCTGAGCATGTACGGCAGCATGCCGCAGATCAACGACATGTACTCTACTACTCAG  2817\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3064  GGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAGGCACAGCTCGTCC  3123\n",
+      "\n",
+      "              | |||||||||||| |||  | ||||||||| |||   |||  || |||||||||||||\n",
+      "\n",
+      "Sbjct  2818  AGTCAGAGGCGGCAGAGGCTCCATCGCATGCAAGCA---AACCAGAAGCACAGCTCGTCC  2874\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3124  TATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAG  3183\n",
+      "\n",
+      "             |||||  |||||||||| ||     ||||| | ||| ||||||  | |||  |||| |||\n",
+      "\n",
+      "Sbjct  2875  TATCCAGGAGTGCCTTCGAGGTCGTCCAACGCACGGACTCTGCCGTGCGTGAAGTCCGAG  2934\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3184  GGTTTCAACA---TGAACAG----GTTG--CCTGCTTCTCC---------TACACCGCCT  3225\n",
+      "\n",
+      "             |||| |||||   || ||||    ||||  |||||| | ||         |||  || | \n",
+      "\n",
+      "Sbjct  2935  GGTTCCAACATGGTGGACAGAAGAGTTGCTCCTGCTCCGCCGGTGCCTGTTACCGCGGCA  2994\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3226  GCTCCAG--CTCCGG-TAAGATCTGAGGGGAT---GGAAGACAACAACTCAAGCGACGAG  3279\n",
+      "\n",
+      "             ||  |||  |  |||    ||    ||| |||    |||||  ||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2995  GCAGCAGGCCGGCGGCGGCGACGGAAGGCGATAGAAGAAGATGACAACTCGAGCGATGAG  3054\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3280  TCTGCAGGGGAGGAA---GTCATCGTCCGAGTCGACTCCCCTAGCATGCTGTCTTTTCGT  3336\n",
+      "\n",
+      "             || |||||||| |||   ||||| ||| |||||||||| || ||||||||||||||  ||\n",
+      "\n",
+      "Sbjct  3055  TCCGCAGGGGAAGAAGAGGTCATTGTCAGAGTCGACTCTCCCAGCATGCTGTCTTTCTGT  3114\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3337  CAGTCCTCC  3345\n",
+      "\n",
+      "             ||||| |||\n",
+      "\n",
+      "Sbjct  3115  CAGTCGTCC  3123\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">FN356230.1 Aegilops speltoides mRNA for salt overly sensitive 1 (sos1 gene)\n",
+      "\n",
+      "Length=3483\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3115 bits (3454),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2718/3379 (80%), Gaps = 76/3379 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  74    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCACGCCAC  133\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  134   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  193\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             ||   |||||| | ||| ||    ||||| || ||||| || ||||| ||||| || || \n",
+      "\n",
+      "Sbjct  194   GGGGGCCTCGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGCATC  253\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  | ||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  254   TGGGCTGCCATAAATCCTGATCTCCTTCTCGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  313\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  314   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  373\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             || |  ||||| || ||||| |||||| |||| |||||| ||  ||||||| | ||||||\n",
+      "\n",
+      "Sbjct  374   GCCGTCCCAGGCGTGGTGATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTCACTTTT  433\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||  |||||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  434   CCGTATGACTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  493\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             |||||||| |||||||| || |||||||| || |||||||| |||||||| |||||||||\n",
+      "\n",
+      "Sbjct  494   CCTGTTGCCGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTTAGTACAATA  553\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || |||||||| |||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  554   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCCATTGTTGTCTATCAGCTATTCTAT  613\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||| ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  614   CGAATGGTGCTTGGAAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  673\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  674   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  733\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  734   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  793\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  794   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  853\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  854   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  913\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  914   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  973\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  974   GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  1033\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1034  GGGTTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1093\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1094  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1153\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||| ||| |||| ||||||||||||||||| ||  | || ||||||||| | \n",
+      "\n",
+      "Sbjct  1154  GTTTGGTCAGGACTGCGAGGAGCTGTTGCTCTATCACTCTCTCTGTCCGTTAAACGTGCT  1213\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||  |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1214  AGTGACTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1273\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| ||||||||||||||  | || \n",
+      "\n",
+      "Sbjct  1274  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGCTGCAC  1333\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1334  CTACTTGGTCTGGGAAAATTGTCAGCAACGAAGCTTCGTGTATTGAAGTATACACAATAT  1393\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1394  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1453\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1454  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1513\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1514  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1573\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1574  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1633\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1634  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1693\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | |||||||||||| ||||||| |  |||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1694  CTTGTCTCTAGCCAATCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTTCATTTCCCA  1753\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||||||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1754  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAGGCTTGTCACATACTTCACA  1813\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| |  || |||||||| ||||||||||||| |\n",
+      "\n",
+      "Sbjct  1814  GTAGAAAGATTGGAGTTAGGATGTTACATCTGCGCGGCATTTCTCCGTGCTCACAGAATT  1873\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||| |||||||| |||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1874  GCGAGGAGACAACTACATGATTTCCTTGGTGACAGTGAGATTGCAAGAATTGTCATCGAT  1933\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| |||||  ||||||||||||||||| |||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1934  GAAAGTACTGCTGCTGGGGAGGAAGCTAAAAAGTTTCTGGAAGATGTTCGTGTTACGTTC  1993\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| |||||  | ||| | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  1994  CCTCAGGTGCTTCGTGTATTGAAGACTCGACAAGTAACATATGCGGTATTGACACACTTG  2053\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| ||||   |||||| |||||||| ||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  2054  AGTGAGTATATTCAAGACCTTGGGAAGACTGGGTTGCTCGAGGAAAAGGAAATAGTCCAT  2113\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  | ||||||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2114  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAAAGGAATCCACCACTGGTGAAA  2173\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| |||| || ||||||||||| ||||||||||||||||  \n",
+      "\n",
+      "Sbjct  2174  ATGCCAAGAGTTCGTGAACTTCTAAATACCCATCCTTTAGTTGGTGCACTGCCTGCTGCT  2233\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||||||||| |||||  ||  ||||||||| ||  |||||\n",
+      "\n",
+      "Sbjct  2234  CTTCGTGATCCATTGTTAAGTAATACAAAGGAAACAATAAAAGGGCATGGAACAGTTCTT  2293\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||||||||| || |||||||||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2294  TACACAGAAGGCTCAAGACCGACTGGTGTATGGCTTGTTTCGAGTGGAATAGTAAAGTGG  2353\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| |||  |||||||| |||||||||||||| || || |||| ||||\n",
+      "\n",
+      "Sbjct  2354  ACAAGTCAGAGACTATGCACAAGGCATTCATTGGATCCAATTTTGTCGCATGGAAGCACT  2413\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||| ||||  || | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2414  TTGGGTCTATATGAGGCACTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCG  2473\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2474  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2533\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||  | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2534  TCTATTGAGGATTTTATGTGGCAGGAAAGTGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2593\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2594  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2653\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | |||  | |||||  | \n",
+      "\n",
+      "Sbjct  2654  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATTATGTAGGCATCTTA  2713\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2714  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2773\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2774  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2833\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             |||||||||||||| ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2834  TACTGCTATACTGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2893\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  ||||  | || ||||| ||||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2894  ATGAGGAGG---CCAGATATAGAATCTGATCTGCAAAGAAGTGCATCGTTGCTTTCTCCA  2950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||  | || |||| |||||||||||||   | | ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2951  G-CACTCGGACCATCACGAACACAGAGCAAAGAGCATGTCGATTTGCTCAGGTGGCCGGA  3009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||| |                     |||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  3010  GAGTTTCCGGAGATCCAGAGGGCCTGGAAATGCAAGCTTAGCTGAAATCAGAAGCCAGCC  3069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || |||||||||| || |||\n",
+      "\n",
+      "Sbjct  3070  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGCATGATGGATGGCAT  3129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCAT-GCAGGCAACCAACGCGA  3109\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| |  ||   | | ||| |||||    ||\n",
+      "\n",
+      "Sbjct  3130  GCACCGTGCTC--GGC----GGCAACTGAGGCTTGCTCATGTGGAAGGAAACCA----GA  3179\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3110  GGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCT  3169\n",
+      "\n",
+      "              |||||||  ||| ||||| |  |||||||||||   |||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3180  AGCACAGCGTGTCGTATCCAAAGGTGCCTTCAAGGGCAGCCGACACGCGGCCTCTGCTCT  3239\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3170  CCGTTCAGTCGGAGGGTTTCAA---CATGAACAG----GTTG--CCTGCTTCTCCTACAC  3220\n",
+      "\n",
+      "             | ||   ||| ||||| | |||    ||||||||      ||  |||||  |  ||| | \n",
+      "\n",
+      "Sbjct  3240  CGGTGAGGTCAGAGGGCTCCAATGCGATGAACAGAAAATCTGCTCCTGCCCCAGCTATAG  3299\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3221  CGCCTGCTCCAGCTC------------------CGGTAAGA-------TCTGAGGGGATG  3255\n",
+      "\n",
+      "             | ||||| |  ||||                  | | | ||        | ||| ||  |\n",
+      "\n",
+      "Sbjct  3300  CTCCTGCACTCGCTCCCTTTCCGCCACCCCTAGCAGCAGGACGGCAACGCCGAGCGGTAG  3359\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  --GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACT  3313\n",
+      "\n",
+      "               |||||  || |||||||||| ||||| |  ||||| |||||||||||| |||| ||||\n",
+      "\n",
+      "Sbjct  3360  GAGAAGATGACGACTCAAGCGATGAGTCCGTGGGGGAAGAAGTCATCGTCAGAGTGGACT  3419\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3314  CCCCTAGCATGCTGTCTTT  3332\n",
+      "\n",
+      "             | || ||||||||||||||\n",
+      "\n",
+      "Sbjct  3420  CTCCCAGCATGCTGTCTTT  3438\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_020335052.1 PREDICTED: Aegilops tauschii subsp. tauschii sodium/hydrogen \n",
+      "\n",
+      "exchanger 8-like (LOC109776409), mRNA\n",
+      "\n",
+      "Length=3689\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3109 bits (3447),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2727/3394 (80%), Gaps = 74/3394 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  169   CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCCCGCCAC  228\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  229   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  288\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||   || || | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  289   GGCGGACTAGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  348\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  349   TGGGCTGCCATAAATCCTGATCTCCTTCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  408\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  409   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  468\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || || || |||||| |||| |||||| ||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  469   GCTGTCCCAGGCGTGGTCATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTTACTTTT  528\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||| | |||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  529   CCGTACGATTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  588\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  589   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  648\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  649   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  708\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| || | ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  709   CGAATGGTGCTTGGGAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  768\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  769   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  828\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  829   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  888\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  889   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  948\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  949   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  1008\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  1009  CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  1068\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  1069  GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  1128\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1129  GGATTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1188\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1189  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1248\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||  || |||| ||||||||||||||||| || || || ||||||||| | \n",
+      "\n",
+      "Sbjct  1249  GTTTGGTCAGGATTGCGAGGAGCTGTTGCTCTATCACTCTCTTTGTCCGTTAAACGTGCT  1308\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1309  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1368\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1369  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1428\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1429  CTACTTGGTCTGGGAAAATTGTCAGCAACGAAGCTTCGTGTATTGAAGTATACACAATAT  1488\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1489  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1548\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||| | ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1549  CCTGTTGATTGGGTCAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1608\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   |   | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1609  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCATGTACATACCATGAATTTGAAG  1668\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1669  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1728\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1729  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1788\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | |||||||||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1789  CTTGTCTCTAGTCAATCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1848\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1849  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1908\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| | ||| |||||||| ||||| || |||| |\n",
+      "\n",
+      "Sbjct  1909  GTAGAAAGATTGGAGTTAGGATGTTACATCTGTGCGGCATTTCTCCGTGCGCATAGAATT  1968\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| ||||||\n",
+      "\n",
+      "Sbjct  1969  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATTGAT  2028\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  2029  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  2088\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  2089  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2148\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| |||||  |||||| |||||||| |||||||| |||||  | |||\n",
+      "\n",
+      "Sbjct  2149  AGTGAGTATATTCAAGACCTCGGGAAGACTGGGTTGCTCGAGGAAAAAGAAATAGTCCAT  2208\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2209  CTTGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCTCTGGTGAAA  2268\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| | || ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2269  ATGCCAAGAGTTCGCGAACTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2328\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2329  GTTCGTGATCCATTGTTAAGTAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2388\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||| |||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2389  TACAGAGAAGGGTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2448\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| |||||||||||||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2449  ACAAGTCAGAGACTATGCACCAGGCATTCCTTGGATCCAATTTTGTCACATGGAAGCACT  2508\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2509  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATCATTACAGAATCA  2568\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2569  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2628\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||| | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2629  TCTATTGAGGATTTTATGTGGCAGGAAAGCGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2688\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2689  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2748\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2749  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2808\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2809  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2868\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2869  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2928\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2929  TACTGCTATACCGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2988\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| | ||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2989  ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGGATCGTTGCTTTCTCCA  3045\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||| | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  3046  G-CACTCGGACCTTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  3104\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||  |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  3105  GAGTTTCCCGAGATCCAGCGGGCTTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3164\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| || || |||\n",
+      "\n",
+      "Sbjct  3165  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGCATGACGGATGGCAT  3224\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  3225  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATG-TGGAAGCGAACCAGAA  3275\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| |||||||  |||||||||||   |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3276  GCACAGCGCGTCGTATCCCAAGGTGCCTTCAAGGGCAGCTGACACGCGGCCTCTGCTCTC  3335\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA---CATGAACAG----GTTG--CCTGCTTCTCCTACACC  3221\n",
+      "\n",
+      "              ||   ||||||||| | |||    ||||| ||      ||  |||||| |  ||| | |\n",
+      "\n",
+      "Sbjct  3336  GGTGAGGTCGGAGGGCTCCAATGCGATGAAAAGAAAATCTGCTCCTGCTCCAGCTATAGC  3395\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3222  GCCTGCTCCAGCTC------------------CGGTAAGA-------TCTGAGGGGATG-  3255\n",
+      "\n",
+      "              ||||| |  ||||                  | | | ||        | ||| ||  | \n",
+      "\n",
+      "Sbjct  3396  TCCTGCGCTCGCTCCCTTTCCGCCGCCCCTAGCAGCAGGACGGCAACGCCGAGCGGTAGG  3455\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  -GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTC  3314\n",
+      "\n",
+      "              |||||| || |||| ||||| ||||| |  ||||| ||||| |||||| |||| |||||\n",
+      "\n",
+      "Sbjct  3456  AGAAGACGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTGATCGTCAGAGTGGACTC  3515\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3315  CCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "              || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3516  TCCCAGCATGCTCTCGTTCAATCCACCCTCCGGC  3549\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AY326952.3 Triticum aestivum putative plasma membrane Na+/H+ antiporter \n",
+      "\n",
+      "mRNA, complete cds\n",
+      "\n",
+      "Length=3728\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3107 bits (3445),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2609/3201 (82%), Gaps = 38/3201 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  170   CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGCCTCCCGCCAC  229\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  230   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  289\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  ||| || | ||| ||    ||||| |||||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  290   GGCGGCCTAGAGTACGGGACCAAGCATGGCCTGGGCAAGCTCGGAGCCGGCATCCGTATC  349\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||| ||  |||||| |||||||| ||  |||| || || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  350   TGGTCTGCCATAAATCCTGATCTCCTTCTGGCCGTCTTCCTCCCCGCCCTCCTCTTCGAG  409\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  410   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTGCTT  469\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || ||||| |||||| |||| |||||| |   ||||||| | ||||||\n",
+      "\n",
+      "Sbjct  470   GCTGTCCCAGGCGTGGTGATCTCAACAGTTTTGCTTGGCGCCGCTGTAAAGCTCACTTTT  529\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||  |||||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  530   CCCTATGACTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  589\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || || ||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  590   CCTGTTGCTGTGGTTGCTCTTCTCAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  649\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  650   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  709\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||| ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  710   CGAATGGTGCTTGGAAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  769\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  770   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGA  829\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  830   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  889\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| ||||||||||| || |||||||| ||||| \n",
+      "\n",
+      "Sbjct  890   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTAGCCGTCATGACCTTGGGG  949\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  950   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  1009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || || ||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  1010  CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTCATTTTCATACTGAGTGGGGTT  1069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  1070  GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  1129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||| ||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1130  GGGTTCCTTGTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1189\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1190  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1249\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||| ||| |||| ||||||||||||||||| ||  | || ||||||||| | \n",
+      "\n",
+      "Sbjct  1250  GTTTGGTCAGGACTGCGAGGAGCTGTTGCTCTATCACTCTCTCTGTCCGTTAAACGTGCT  1309\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| |||||||||||| |||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1310  AGTGATTCAGTTCAAACTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACA  1369\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             ||||||||||||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1370  GGTGGCATTGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1429\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1430  CTACTTGGTCTGGGAAAATTGTCAGCAACGAAGCTTCGTGTATTGAAGTATACACAATAT  1489\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1490  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1550  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | ||| |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1610  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACATACATACCATGAATTTGAAG  1669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1670  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1730  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1789\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | |||||||||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1790  CTTGTCTCTAGTCAATCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1849\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1850  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1909\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| | ||| ||||||||||| ||||| |||| |\n",
+      "\n",
+      "Sbjct  1910  GTAGAAAGATTGGAGTTAGGATGTTACATCTGTGCGGCATTTCTTCGCGCTCATAGAATT  1969\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1970  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  2029\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||| | ||||| |||||||| ||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  2030  GAAAGCACTGCTGTGGGGGAGGGAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  2089\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  2090  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCGGTATTGACACACTTG  2149\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| ||||   |||||| |||||||| ||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  2150  AGTGAGTATATTCAAGACCTTGGGAAGACTGGGTTGCTCGAGGAAAAGGAAATAGTCCAT  2209\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  | || |||||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  2210  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCGCCGCTGGTGAAA  2269\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2270  ATGCCAAGAGTTCGTGAACTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2329\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||||||||| |||||  ||  ||  ||||| || ||||| \n",
+      "\n",
+      "Sbjct  2330  GTTCGTGATCCATTGTTAAGTAATACAAAGGAAACAATAAAAGTTCATGGAACAATTCTA  2389\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  |||||||||||||  |||||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2390  TACAGAGAAGGCTCAAGGCGGACTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2449\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||| ||||||| ||| ||||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2450  ACAAGTCGGAGACTATGCACCAGGCATTCGTTGGATCCAATTTTGTCACATGGAAGCACT  2509\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||| ||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2510  TTGGGTCTATATGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCG  2569\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2570  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2629\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||  | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2630  TCTATTGAGGATTTTATGTGGCAGGAAAGTGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2689\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2690  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2749\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             ||||| || ||||||||||| |||| |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2750  ATGAATGTCTACATTAAGGGGGAAGCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2809\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2810  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2869\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2870  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2929\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             |||||||||||||| ||||||||||| |||||||| |||||||||   ||| | ||||||\n",
+      "\n",
+      "Sbjct  2930  TACTGCTATACTGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCATATTTGAA  2989\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAG  2892\n",
+      "\n",
+      "             ||||| ||| |    ||  |||| || ||  | || ||||| ||||| ||| ||||    \n",
+      "\n",
+      "Sbjct  2990  ATAGGTAGGCT---AGATATAGAAGCCGATCTGCAAAGAAGTGCATCATTGCTGTCTTCA  3046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2893  ACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAA  2952\n",
+      "\n",
+      "             ||||  | |||  | || |||| |||||||||||||   ||| ||||||| ||||| || \n",
+      "\n",
+      "Sbjct  3047  ACCCTCGGACCATCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGAG  3106\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2953  AGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCCG  2991\n",
+      "\n",
+      "             || ||||| |||||                     || ||||||||||||| | || || \n",
+      "\n",
+      "Sbjct  3107  AGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAGGTCAGCCT  3166\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2992  GGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACATG  3051\n",
+      "\n",
+      "             || ||| ||||| | |||||| ||||  | |||||||| || ||||||| || || ||||\n",
+      "\n",
+      "Sbjct  3167  GGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGCATGACGGATGGCATG  3226\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3052  CACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCAT-GCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             |||   | ||  |||    |||  | | ||| |  ||   | | ||| |||||    || \n",
+      "\n",
+      "Sbjct  3227  CACCGTGCTC--GGC----GGCAACCGAGGCTTGCTCATGTGGAAGGAAACCA----GAA  3276\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             |||||||  ||| ||||| |  |||||||||||   |||| |||||||||||||| | ||\n",
+      "\n",
+      "Sbjct  3277  GCACAGCGTGTCGTATCCAAAGGTGCCTTCAAGGGCAGCCGACACGCGGCCTCTGTTGTC  3336\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA  3191\n",
+      "\n",
+      "              ||   ||||||||| | |||\n",
+      "\n",
+      "Sbjct  3337  GGTGAGGTCGGAGGGCTCCAA  3357\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 74.3 bits (81),  Expect = 7e-08\n",
+      "\n",
+      " Identities = 72/93 (77%), Gaps = 0/93 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCC  3315\n",
+      "\n",
+      "             |||||  || |||| ||||| ||||| |  ||||| |||||||||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  3458  GAAGATGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTCATCGTCAGAGTGGACTCT  3517\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3316  CCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3518  CCCAGCATGCTTTCGTTCAATCCACCCTCCGGC  3550\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">HM802331.1 Triticum aestivum plasma membrane Na+/H+ antiporter (NaH2) mRNA, \n",
+      "\n",
+      "complete cds\n",
+      "\n",
+      "Length=3429\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3100 bits (3437),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2725/3394 (80%), Gaps = 74/3394 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  31    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCCCGCCAC  90\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  91    CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||   || || | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  151   GGCGGACTAGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  211   TGGGCTGCCATAAATCCTGATCTCCTCCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  271   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || || || |||||| |||| |||||| ||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  331   GCTGTCCCAGGCGTGGTCATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTTACTTTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||| | |||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  391   CCGTACGATTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  451   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  511   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| || | ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  571   CGAATGGTGCTTGGGAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  631   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  691   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  751   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  811   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  871   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  931   GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  991   GGATTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTTGGTGTT  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1051  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||  || |||| ||||||||||||||||| || || || ||||||||| | \n",
+      "\n",
+      "Sbjct  1111  GTTTGGTCAGGATTGCGAGGAGCTGTTGCTCTATCACTCTCTTTGTCCGTTAAACGTGCT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1171  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1231  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1291  CTACTTGGTCTGGGAAAATTGTCAGCAACTAAGCTTCGTGTATTGAAGTATACACAATAT  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1351  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1411  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1471  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| ||| || |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1531  GATACTCGAGTGCGGATTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1591  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | ||||| |||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1651  CTTGTCTCTAGTCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1711  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||||| |||||||||| |||||| ||||| | ||| |||||||| |||||||| |||| |\n",
+      "\n",
+      "Sbjct  1771  GTAGATAGATTGGAGTTAGGATGCTACATCTGTGCGGCATTTCTCCGTGCTCATAGAATT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1831  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1891  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1951  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| |||||  |||||| |||||||| |||||||| |||||  | |||\n",
+      "\n",
+      "Sbjct  2011  AGTGAGTATATTCAAGACCTCGGGAAGACTGGGTTGCTCGAGGAAAAAGAAATAGTCCAT  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2071  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCTCTGGTGAAA  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2131  ATGCCAAGAGTTCGTGAGCTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||| ||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2191  GTTCGTGATCCATTGTTAAATAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||| |||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2251  TACAGAGAAGGGTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| ||||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2311  ACAAGTCAGAGACTATGCACCAGGCATTCGTTGGATCCAATTTTGTCACATGGAAGCACT  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2371  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCA  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2431  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||| | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2491  TCTATTGAGGATTTTATGTGGCAGGAAAGCGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2551  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2611  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2671  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2731  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2790\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2791  TACTGCTATACCGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| | ||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2851  ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGGATCGTTGCTTTCTCCA  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||| | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2908  G-CACTCGGACCTTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  2966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2967  GAGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| ||  | |||\n",
+      "\n",
+      "Sbjct  3027  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTTAGCATGTATGGCAGCATGACGGACGGCAT  3086\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  3087  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATG-TGGAAGCGAACCAGAA  3137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| |||||||  |||||||||||   |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3138  GCACAGCGCGTCGTATCCCAAGGTGCCTTCAAGGGCAGCTGACACGCGGCCTCTGCTCTC  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA---CATGAACAG----GTTG--CCTGCTTCTCCTACACC  3221\n",
+      "\n",
+      "              ||   ||||||||| | |||    ||||| ||      ||  |||||| |  ||| | |\n",
+      "\n",
+      "Sbjct  3198  GGTGAGGTCGGAGGGCTCCAATGCGATGAAAAGAAAATCTGCTCCTGCTCCAGCTATAGC  3257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3222  GCCTGCTCCAGCTC------------------CGGTAAGA-------TCTGAGGGGATG-  3255\n",
+      "\n",
+      "              ||||| |  ||||                  | | | ||        | ||| ||  | \n",
+      "\n",
+      "Sbjct  3258  TCCTGCGCTCGCTCCCTTTCCGCCGCCCCTAGCAGCAGGACGGCAACGCCGAGCGGTAGG  3317\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  -GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTC  3314\n",
+      "\n",
+      "              |||||| || |||| ||||| ||||| |  ||||| ||||| |||||| |||| |||||\n",
+      "\n",
+      "Sbjct  3318  AGAAGACGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTGATCGTCAGAGTGGACTC  3377\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3315  CCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "              || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3378  TCCCAGCATGCTCTCGTTCAATCTACCCTCCGGC  3411\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">KJ563229.1 Triticum aestivum cultivar Kharchiya 65 salt overly sensitive \n",
+      "\n",
+      "1 (SOS1) mRNA, complete cds\n",
+      "\n",
+      "Length=3429\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3095 bits (3432),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2724/3394 (80%), Gaps = 74/3394 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  31    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCCCGCCAC  90\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  91    CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||   || || | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  151   GGCGGACTAGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  211   TGGGCTGCCATAAATCCTGATCTCCTCCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  271   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || || || |||||| |||| |||||| ||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  331   GCTGTCCCAGGCGTGGTCATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTTACTTTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||| | |||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  391   CCGTACGATTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  451   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  511   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| || | ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  571   CGAATGGTGCTTGGGAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  631   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  691   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  751   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  811   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  871   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  931   GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  991   GGATTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1051  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||  || |||| ||||||||||||||||| || || || ||||||||| | \n",
+      "\n",
+      "Sbjct  1111  GTTTGGTCAGGATTGCGAGGAGCTGTTGCTCTATCACTCTCTTTGTCCGTTAAACGTGCT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1171  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1231  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1291  CTACTTGGTCTGGGAAAATTGTCAGCAACTAAGCTTCGTGTATTGAAGTATACACAATAT  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1351  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1411  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1471  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| ||| || |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1531  GATACTCGAGTGCGGATTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1591  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | ||||| |||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1651  CTTGTCTCTAGTCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1711  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||||| |||||||||| |||||| ||||| | ||| |||||||| |||||||| |||| |\n",
+      "\n",
+      "Sbjct  1771  GTAGATAGATTGGAGTTAGGATGCTACATCTGTGCGGCATTTCTCCGTGCTCATAGAATT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1831  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1891  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1951  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| |||||  |||||| |||||||| |||||||| |||||  | |||\n",
+      "\n",
+      "Sbjct  2011  AGTGAGTATATTCAAGACCTCGGGAAGACTGGGTTGCTCGAGGAAAAAGAAATAGTCCAT  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2071  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCTCTGGTGAAA  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2131  ATGCCAAGAGTTCGTGAGCTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||| ||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2191  GTTCGTGATCCATTGTTAAATAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||| |||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2251  TACAGAGAAGGGTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| ||||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2311  ACAAGTCAGAGACTATGCACCAGGCATTCGTTGGATCCAATTTTGTCACATGGAAGCACT  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2371  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCA  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2431  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||| | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2491  TCTATTGAGGATTTTATGTGGCAGGAAAGCGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2551  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2611  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2671  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2731  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2790\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2791  TACTGCTATACCGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| | ||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2851  ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGGATCGTTGCTTTCTCCA  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||| | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2908  G-CACTCGGACCTTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  2966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2967  GAGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| ||  | |||\n",
+      "\n",
+      "Sbjct  3027  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTTAGCATGTATGGCAGCATGACGGACGGCAT  3086\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  3087  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATG-TGGAAGCGAACCAGAA  3137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| |||||||  |||||||||||   |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3138  GCACAGCGCGTCGTATCCCAAGGTGCCTTCAAGGGCAGCTGACACGCGGCCTCTGCTCTC  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA---CATGAACAG----GTTG--CCTGCTTCTCCTACACC  3221\n",
+      "\n",
+      "              ||   ||||||||| | |||    ||||| ||      ||  |||||| |  ||| | |\n",
+      "\n",
+      "Sbjct  3198  GGTGAGGTCGGAGGGCTCCAATGCGATGAAAAGAAAATCTGCTCCTGCTCCAGCTATAGC  3257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3222  GCCTGCTCCAGCTC------------------CGGTAAGA-------TCTGAGGGGATG-  3255\n",
+      "\n",
+      "              ||||| |  ||||                  | | | ||        | ||| ||  | \n",
+      "\n",
+      "Sbjct  3258  TCCTGCGCTCGCTCCCTTTCCGCCGCCCCTAGCAGCAGGACGGCAACGCCGAGCGGTAGG  3317\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  -GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTC  3314\n",
+      "\n",
+      "              |||||| || |||| ||||| ||||| |  ||||| ||||| |||||| |||| |||||\n",
+      "\n",
+      "Sbjct  3318  AGAAGACGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTGATCGTCAGAGTGGACTC  3377\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3315  CCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "              || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3378  TCCCAGCATGCTCTCGTTCAATCTACCCTCCGGC  3411\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">MF101260.1 Hordeum brevisubulatum SOS-like protein (SOS1L) mRNA, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3627\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3094 bits (3430),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2607/3198 (82%), Gaps = 39/3198 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| || ||||||||| | | ||| || || |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  73    CCCGACGACGCCGTGCTCTTCTTCGGGGTGTCCCTCGTGCTGGGCATCGCCTCCCGCCAC  132\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  133   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  192\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  |||||| | ||| ||    || || |||||||| || |||  ||||||||| || \n",
+      "\n",
+      "Sbjct  193   GGCGGCCTCGAGTACGGGACCAAGCACGGCCTGGGCAAGCTCGGAAATGGCATTCGCATC  252\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             |||||   |||||| || ||||| ||  |||| ||||| || || |||||| | ||||||\n",
+      "\n",
+      "Sbjct  253   TGGGCGGCCATAAATCCCGATCTACTTCTGGCCGTTTTCCTCCCCGCCCTCCTCTTCGAA  312\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || ||||||||  | ||||||||||||| ||| ||||||||||||||| | |||\n",
+      "\n",
+      "Sbjct  313   AGCTCCTTCTCAATGGAAGTCCACCAAATCAAGAAATGCATGGCACAGATGGTGTTACTT  372\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  |||||||| ||||| |||||| |||| |||||||||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  373   GCTGTTCCAGGTGTGGTGATCTCAACAGTTTTGCTTGGCACTGCTGTAAAGCTTACTTTT  432\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             |||||| |||||| |||||||  ||| || ||| || ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  433   CCATACGACTGGAACTGGAAAACATCGTTCTTGTTTAGTGGACTGCTTAGTGCAACAGAC  492\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             |||||||||||||| || || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  493   CCTGTTGCTGTGGTCGCTCTTCTAAAAGATCTAGGAGCAAGCAAAAAGCTCAGTACAATA  552\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || |||||  ||||||| ||||||||||||||||||||||||||  |||| |  \n",
+      "\n",
+      "Sbjct  553   ATTGAAGGAGAATCCTTAATGAATGATGGGACTGCTATTGTTGTCTATCAGTTATTCTAT  612\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||||||| |||||||| || || || || |||||||| |  ||||||\n",
+      "\n",
+      "Sbjct  613   CGAATGGTGCTTGGAAGAACTTTTGATGCAGGGTCCATAATTAAGTTCTTGTCAGAAGTT  672\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| | ||||||||||| ||| ||| ||||||| | |||||||| \n",
+      "\n",
+      "Sbjct  673   TCACTTGGAGCTGTTGCTCTAGGCCTTGCATTTGGAGTTGCATCAGTATTATGGCTGGGA  732\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  733   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  792\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||| | |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  793   TTCTTCACTGCGCAAGATGCATTGGAGATCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  852\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| ||||| |||||||| ||||| |||||||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  853   ATGTTCTATGCTGCTTTCGCAAAAACTGCTTTTAAGGGTGACAGCCAGGAAAGTTTGCAT  912\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| ||||||||||| |||||||| || || || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  913   CATTTCTGGGAAATGGTGGCTTACATTGCGAACACACTTATTTTCATACTGAGTGGGGTT  972\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  973   GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  1032\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1033  GGGTTCCTTCTTCTGCTCTATGTGTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1092\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||||| ||| ||| |||||| |||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1093  TTGTATCCATTATTGAGTCACTTTGGATATGGTATGGACGTCAAAGAAGCCACAGTTCTT  1152\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||||||| |||||||||||||||||||||| ||  | |||||||||||| | \n",
+      "\n",
+      "Sbjct  1153  GTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTATCACTCTCTCTGTCTGTTAAACGTGCT  1212\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1213  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACA  1272\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             ||||| || |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1273  GGTGGTATCGTGTTTCTGACATTGATTTTGAATGGTTCCACCACACAATTTTTGTTGCAC  1332\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              |||||||| |||  ||| |||||||||||||| ||||  ||||||| |||||| |  ||\n",
+      "\n",
+      "Sbjct  1333  CTGCTTGGCTTGGGAAAATTGTCAGCAACAAAGCTTCGTGTATTGAAGTATACACGGTAT  1392\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1393  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1452\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||||||||||| ||||||| |||||| |||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1453  CCTGCTGATTGGATTACTGTGAAGAAACATATCACATGTTTGAATAACTTGGAAGATGAA  1512\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||||||  |   ||||||||||   | | | |||||||||||  |   |\n",
+      "\n",
+      "Sbjct  1513  CAAGCACATCCCCATGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGGAG  1572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1573  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             || |||||||||||| |||||||||||||  | |||||||| |||||||| |||||||| \n",
+      "\n",
+      "Sbjct  1633  GGGCGAATAACTCAATCTACAGCAAATATGTTAATGAGATCGGTTGATGAGGCTATGGAT  1692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| | || || ||| | ||||| || ||| | ||||| |  |||| ||| || ||||| \n",
+      "\n",
+      "Sbjct  1693  CTTGTTTCTAGCCAATCATTATGCGACTGGAATGGTTTGCGGTCCAGTGTTCATTTCCCA  1752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             || || ||||| ||||| ||||||||||| ||||||||||||||  ||||||||||||| \n",
+      "\n",
+      "Sbjct  1753  AAGTATTATAGGTTCCTTCAGATGAGCAGATTGCCACGAAAGCTTGTCACATACTTCACG  1812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| | ||| |||||||| |||||||| ||||  \n",
+      "\n",
+      "Sbjct  1813  GTAGAAAGATTGGAGTTAGGATGTTACATCTGTGCGGCATTTCTCCGTGCTCATAGAATC  1872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||  ||| |||||  || ||  ||\n",
+      "\n",
+      "Sbjct  1873  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGATATTGCAAGAATCGTCATCAAT  1932\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             |||||||  |||| |||||||||||||||||| ||||||||||||||||||||||| || \n",
+      "\n",
+      "Sbjct  1933  GAAAGTACCGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGATGTTCGTGTTACATTT  1992\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| |||||  ||||| | ||||| || || ||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  1993  CCTCAGGTGCTTCGTGTATTAAAGACTCGACAAGTAACTTATGCGGTATTGACACACTTG  2052\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             || |||||||||||| |||||  ||||||||||||||| ||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  2053  AGCGAGTATATTCAAGACCTCGGGAAGACAGGGTTGCTCGAGGAAAAGGAAATAGTTCAT  2112\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||| | || ||||| |||||  ||||||||\n",
+      "\n",
+      "Sbjct  2113  CTCGATGATGCTTTGCAGACAGACTTGAAGAAACTTAAGAGGAACCCACCACTGGTGAAA  2172\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             ||||||||| || | || ||| ||||||| ||||||||||| ||||||||||||||||  \n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sbjct  2173  ATGCCAAGAATTAGCGAACTTCTAAACACCCATCCTTTAGTTGGTGCACTGCCTGCTGCT  2232\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "              | |||||||| ||||||||||||||||||||| |  ||  ||  ||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2233  GCTCGTGATCCGTTATTAAGTAATACAAAAGAATCAATAAAAGTACATGGAACGATCCTT  2292\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  |||||||||||||| |||||| ||||||||||||| |  ||  | || ||||||\n",
+      "\n",
+      "Sbjct  2293  TACAGAGAAGGCTCAAGGCCGACTGGTATATGGCTTGTTTCGACTGGAATTGTAAAGTGG  2352\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              ||||||||||||| |||| |||||||||  |||||||||| || ||||| ||||  |||\n",
+      "\n",
+      "Sbjct  2353  ACAAGTCAGAGACTCAGCACCAGGCATTCACTGGATCCAATATTGTCACATGGAAGTACT  2412\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | ||||||||||||||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2413  TTGGGTCTATACGAGGCATTAATTGGAAAGCCATATATTTGTGACATTATTACAGAATCG  2472\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||| || || || |||||||| || || || ||||||\n",
+      "\n",
+      "Sbjct  2473  GTGGTGCATTGTTTCTTCATTGAAGCGGAGAAAATAGAGCAACTGCGCCAGTCTGATCCT  2532\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||| |||||||||||||  | ||||||||||| ||| | || || || \n",
+      "\n",
+      "Sbjct  2533  TCTATTGAGGATTTCATGTGGCAGGAAAGTGCTCTAGTTATTGCAAGGATGTTTCTCCCC  2592\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| ||||||| || | |\n",
+      "\n",
+      "Sbjct  2593  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCTGAAAGATCCAGT  2652\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||  | |||||||||||||||||||||||||| | |   | |||||| |||||  | \n",
+      "\n",
+      "Sbjct  2653  ATGAAAATCTACATTAAGGGTGAAGACATTGAACTCGGGCCTAATTACATCGGCATCTTA  2712\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||  |||||||  |||  | ||||   |||| || |||||| |||||||| \n",
+      "\n",
+      "Sbjct  2713  TTGGAAGGATTCCTGAAGACAGAGAACCGAAATTCGATCAAACATCCAGCTGTGCTGCTG  2772\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTG-AATCTTCAGCTATGAACCATGTGGA  2771\n",
+      "\n",
+      "             || ||||| |   | ||      |||||| |||| | ||||||||  |||||  | | ||\n",
+      "\n",
+      "Sbjct  2773  CCGTCGAACACTGATTTGAATTCATTTGG-CTTGCAGTCTTCAGCCTTGAACATTATAGA  2831\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2772  CTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGA  2831\n",
+      "\n",
+      "             |||||||||||||||  | |||||||| ||||| || ||| |||||  |||||| |||||\n",
+      "\n",
+      "Sbjct  2832  CTACTGCTATACTGCATCGAGTTATCAGGTGGAAGCTAGATCAAGGGCTATCTTGTTTGA  2891\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2832  AATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCA  2891\n",
+      "\n",
+      "             |||||| ||||   ||||  | || || ||  | || ||||| |||||  || |||| | \n",
+      "\n",
+      "Sbjct  2892  AATAGGGAGGG---CCGATATGGAAGCCGATGTACAAAGAAGTGCATCAATGCTGTCTCC  2948\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "              |||| || ||| || || || | |||||| ||||||  |||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2949  CACCCTTGGACCACCACGAACGCAGAGCAAGGAGCATGTTGGTTTGCTCAGGTGGCCGGA  3008\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "             ||  |   | |||||| |                     |||||||||||||| ||| ||\n",
+      "\n",
+      "Sbjct  3009  AAATTCTGGGAGATCCAGAGGGCCTGGAAATCCAAGCTTAGCTGAAATCAGAAACCAGCC  3068\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || | | ||||| | | |||| ||||  | |||||||||||  ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  3069  TGGTAACTTCTCTGCTAAAGCCTTGCAAGTCAGCATGTACGGGGGCATGATGGATGACAT  3128\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCAT-GCAGGCAACCAACGCGA  3109\n",
+      "\n",
+      "             || | | | ||||   | | |||  | | ||  |  ||   | | ||| |||||    ||\n",
+      "\n",
+      "Sbjct  3129  GCTCCCTGCTCAG---CGGCGGCAACCGAGGTTTGATCATGTAGAAGGAAACCA----GA  3181\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3110  GGCACAGCTCGTCCTATCCCAGA-GTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTC  3168\n",
+      "\n",
+      "              ||||||||  |||||| ||||| |||||||||||   | ||||||||||| ||||||| \n",
+      "\n",
+      "Sbjct  3182  AGCACAGCTTATCCTAT-CCAGAGGTGCCTTCAAGGGCATCCAACACGCGGTCTCTGCTT  3240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3169  TCCGTTCAGTCGGAGGGT  3186\n",
+      "\n",
+      "             || ||  |||||| ||||\n",
+      "\n",
+      "Sbjct  3241  TCTGTGAAGTCGGCGGGT  3258\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">KJ563230.1 Triticum aestivum cultivar WR704 salt overly sensitive 1 (SOS1) \n",
+      "\n",
+      "mRNA, complete cds\n",
+      "\n",
+      "Length=3429\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3094 bits (3430),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2609/3201 (82%), Gaps = 38/3201 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  31    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCCCGCCAC  90\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  91    CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||   || || | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  151   GGCGGACTAGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  211   TGGGCTGCCATAAATCCTGATCTCCTCCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  271   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || || || |||||| |||| |||||| ||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  331   GCTGTCCCAGGCGTGGTCATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTTACTTTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||| | |||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  391   CCGTACGATTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  451   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  511   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| || | ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  571   CGAATGGTGCTTGGGAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  631   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  691   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  751   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  811   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  871   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  931   GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  991   GGATTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1051  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||  || |||| ||||||||||||||||| || || || ||||||||| | \n",
+      "\n",
+      "Sbjct  1111  GTTTGGTCAGGATTGCGAGGAGCTGTTGCTCTATCACTCTCTTTGTCCGTTAAACGTGCT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1171  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1231  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1291  CTACTTGGTCTGGGAAAATTGTCAGCAACTAAGCTTCGTGTATTGAAGTATACACAATAT  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1351  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1411  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1471  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| ||| || |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1531  GATACTCGAGTGCGGATTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1591  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | ||||| |||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1651  CTTGTCTCTAGTCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1711  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||||| |||||||||| |||||| ||||| | ||| |||||||| |||||||| |||| |\n",
+      "\n",
+      "Sbjct  1771  GTAGATAGATTGGAGTTAGGATGCTACATCTGTGCGGCATTTCTCCGTGCTCATAGAATT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1831  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1891  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1951  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| |||||  |||||| |||||||| |||||||| |||||  | |||\n",
+      "\n",
+      "Sbjct  2011  AGTGAGTATATTCAAGACCTCGGGAAGACTGGGTTGCTCGAGGAAAAAGAAATAGTCCAT  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2071  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCTCTGGTGAAA  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2131  ATGCCAAGAGTTCGTGAGCTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||| ||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2191  GTTCGTGATCCATTGTTAAATAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||| |||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2251  TACAGAGAAGGGTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| ||||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2311  ACAAGTCAGAGACTATGCACCAGGCATTCGTTGGATCCAATTTTGTCACATGGAAGCACT  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2371  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCA  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2431  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||| | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2491  TCTATTGAGGATTTTATGTGGCAGGAAAGCGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2551  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2611  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2671  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2731  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2790\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2791  TACTGCTATACCGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| | ||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2851  ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGGATCGTTGCTTTCTCCA  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||| | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2908  G-CACTCGGACCTTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  2966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2967  GAGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| ||  | |||\n",
+      "\n",
+      "Sbjct  3027  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTTAGCATGTATGGCAGCATGACGGACGGCAT  3086\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  3087  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATG-TGGAAGCGAACCAGAA  3137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| |||||||  |||||||||||   |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3138  GCACAGCGCGTCGTATCCCAAGGTGCCTTCAAGGGCAGCTGACACGCGGCCTCTGCTCTC  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA  3191\n",
+      "\n",
+      "              ||   ||||||||| | |||\n",
+      "\n",
+      "Sbjct  3198  GGTGAGGTCGGAGGGCTCCAA  3218\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AK447260.1 Triticum aestivum mRNA, clone: tplb0028k06, cultivar Chinese \n",
+      "\n",
+      "Spring\n",
+      "\n",
+      "Length=3659\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3089 bits (3425),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2607/3201 (81%), Gaps = 38/3201 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  3554  CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGCCTCCCGCCAC  3495\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  3494  CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  3435\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  |||||| | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  3434  GGCGGCCTCGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  3375\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  | || || || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  3374  TGGGCTGCCATAAATCCTGATCTCCTTCTTGCCGTCTTCCTCCCCGCCCTCCTCTTCGAG  3315\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  3314  AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  3255\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             || |  ||||| || ||||| |||||| |||| |||||| ||  ||||||| | ||||||\n",
+      "\n",
+      "Sbjct  3254  GCCGTCCCAGGCGTGGTGATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTCACTTTT  3195\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             |||||  |||||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  3194  CCATATGACTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  3135\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             |||||||| |||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3134  CCTGTTGCCGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  3075\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  3074  ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  3015\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||| ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  3014  CGAATGGTGCTTGGAAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  2955\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  2954  TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  2895\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| |||||||  |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  2894  TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCGTTGCTGTCAGCTATATTGCT  2835\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| ||||||||||| || |||||||| ||||| \n",
+      "\n",
+      "Sbjct  2834  TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTAGCCGTCATGACCTTGGGG  2775\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  2774  ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  2715\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  2714  CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  2655\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             |||||||||||||| || |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  2654  GTTATTGCAGATGGCGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  2595\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2594  GGGTTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  2535\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  2534  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  2475\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||  || | || ||||||||||||||||| ||  | || ||||||||| | \n",
+      "\n",
+      "Sbjct  2474  GTTTGGTCAGGATTGCGTGGAGCTGTTGCTCTATCACTTTCTCTGTCCGTTAAACGTGCT  2415\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| |||||||||||| |||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  2414  AGTGATTCAGTTCAAACTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACA  2355\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| ||||||||||| |||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  2354  GGTGGCATCGTGTTTCTGACTTTGATTTTGAATGGTTCCACCACACAATTTTTGTTGCAC  2295\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  2294  CTACTTGGTCTGGGAAAATTGTCAGCAACGAAGCTTCGTGTATTGAAGTATACACAATAT  2235\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  2234  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  2175\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  2174  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  2115\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  2114  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  2055\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  2054  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1995\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1994  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1935\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||  | |||||||||||| ||||||| |  |||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1934  CTTGTCTCTAGCCAGTCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTTCATTTCCCA  1875\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||||||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1874  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAGGCTTGTCACATACTTCACA  1815\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| |  || |||||||| ||||||||||||| |\n",
+      "\n",
+      "Sbjct  1814  GTAGAAAGATTGGAGTTAGGATGTTACATCTGCGCGGCATTTCTCCGTGCTCACAGAATT  1755\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||| ||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1754  GCGAGGAGACAACTACATGATTTCCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1695\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| |||||  ||||||||||||||||| ||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1694  GAAAGTATTGCTGCTGGGGAGGAAGCTAAAAAGTTTCTGGAAGATGTTCGTGTTACATTC  1635\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| |||||  | ||| | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  1634  CCTCAGGTGCTTCGTGTATTGAAGACTCGACAAGTAACATATGCGGTATTGACACACTTG  1575\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| ||||   |||||| |||||||| ||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  1574  AGTGAGTATATTCAAGACCTTGGGAAGACTGGGTTGCTCGAGGAAAAGGAAATAGTCCAT  1515\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  | || |||||||| ||  ||||||||\n",
+      "\n",
+      "Sbjct  1514  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCGCCACTGGTGAAA  1455\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| | || ||| |||| || ||||||||||| ||||||||||||||||  \n",
+      "\n",
+      "Sbjct  1454  ATGCCAAGAGTTCGCGAACTTCTAAATACCCATCCTTTAGTTGGTGCACTGCCTGCTGCT  1395\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||| ||||| |||||  ||  ||||||||| ||  |||||\n",
+      "\n",
+      "Sbjct  1394  CTTCGTGATCCATTGTTAAGTAACACAAAGGAAACAATAAAAGGGCATGGAACAGTTCTT  1335\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||||||||| || ||||| |||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  1334  TACACAGAAGGCTCAAGACCGACTGGCGTATGGCTTGTTTCGAGTGGAATAGTAAAGTGG  1275\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| |||  |||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  1274  ACAAGTCAGAGACTATGCACGAGGCATTCATTGGATCCAATTTTGTCACATGGAAGCACT  1215\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||| ||||  || |||||||||||  |||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  1214  TTGGGTCTATATGAGGCACTAATTGGAAAGCCTCATATTTGTGACATTATTACAGAATCG  1155\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | || |||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  1154  GTGGTGCATTGTTTCTTCATTGAGGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  1095\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||| ||  | ||||||||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  1094  TCTATTGAGGATTTTATGTGGCAGGAGAGTGCTCTAGTTATTGCAAGGATTTTGCTCCCT  1035\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | ||||| || |||\n",
+      "\n",
+      "Sbjct  1034  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGATCTACT  975\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             | ||| || ||||||||||| ||||| ||||||||   | | | |||||| |||||  | \n",
+      "\n",
+      "Sbjct  974   ACGAATGTCTACATTAAGGGGGAAGAAATTGAACTCAGGCATAATTACATAGGCATCTTA  915\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              |||| |||||| |||||||  |||  | || | | |||||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  914   TTGGAGGGATTTCTGAAGACAGAGAACCGAACTTTGATCACACCTCCAGCTGTGCTGCTG  855\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  854   CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  795\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||| |||||||| ||||||||||| |||||||| ||||||||| | ||||| ||||||\n",
+      "\n",
+      "Sbjct  794   TACTGTTATACTGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGTCATCTTATTTGAA  735\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| ||||| ||| | || |||\n",
+      "\n",
+      "Sbjct  734   ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGCATCGTTGCTTTCTCCA  678\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||  | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  677   G-CACTCGGACCGTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  619\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| | |||| |                     ||||||||||||||||||  |\n",
+      "\n",
+      "Sbjct  618   GAGTTTCCGGAAATCCAGAGGGCCTGGAAATGCAAGCTTAGCTGAAATCAGAAGCCAGTC  559\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || |||||||||| || |||\n",
+      "\n",
+      "Sbjct  558   TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGCATGATGGATGGCAT  499\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             || | | | ||  |||    |||  | | ||| |  |  ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  498   GCGCCCTGCTC--GGC----GGCAACCGAGGCTTGAT--CATG-TGGAAGCGAACCAGAA  448\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| ||||| |  |||||||||||   |||| |||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  447   GCACAGCGCGTCGTATCCAAAGGTGCCTTCAAGGGCAGCCGACACGCGGCCTCTGCTGTC  388\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA  3191\n",
+      "\n",
+      "              ||   ||||||||| | |||\n",
+      "\n",
+      "Sbjct  387   GGTGAGGTCGGAGGGCTCCAA  367\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">EU552490.1 Triticum turgidum subsp. durum plasma membrane Na+/H+ antiporter \n",
+      "\n",
+      "(SOS1) mRNA, complete cds\n",
+      "\n",
+      "Length=3429\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3089 bits (3425),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2605/3201 (81%), Gaps = 38/3201 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  31    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGCCTCCCGCCAC  90\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  91    CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  ||| || | ||| ||    ||||| |||||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  151   GGCGGCCTAGAGTACGGGACCAAGCATGGCCTGGGCAAGCTCGGAGCCGGCATCCGTATC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||| ||  |||||| || ||||| ||  |||| || || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  211   TGGTCTGCCATAAATCCCGATCTCCTTCTGGCCGTCTTCCTCCCCGCCCTCCTCTTCGAG  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  271   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || ||||| |||||| |||| |||||| |   ||||||| | ||||||\n",
+      "\n",
+      "Sbjct  331   GCTGTCCCAGGCGTGGTGATCTCAACAGTTTTGCTTGGCGCCGCTGTAAAGCTCACTTTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||  |||||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  391   CCGTATGACTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || || ||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  451   CCTGTTGCTGTGGTTGCTCTTCTCAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  511   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||| ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  571   CGAATGGTGCTTGGAAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  631   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| |||||||  |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  691   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCGTTGCTGTCAGCTATATTGCT  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| ||||||||||| || |||||||| ||||| \n",
+      "\n",
+      "Sbjct  751   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTAGCCGTCATGACCTTGGGG  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  811   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  871   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             |||||||||||||| || |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  931   GTTATTGCAGATGGCGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  991   GGGTTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1051  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||| ||| |||| ||||||||||||||||| ||  | || ||||||||| | \n",
+      "\n",
+      "Sbjct  1111  GTTTGGTCAGGACTGCGAGGAGCTGTTGCTCTATCACTTTCTCTGTCCGTTAAACGTGCT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| |||||||||||| |||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1171  AGTGATTCAGTTCAAACTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACA  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| ||||||||||| |||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1231  GGTGGCATCGTGTTTCTGACTTTGATTTTGAATGGTTCCACCACACAATTTTTGTTGCAC  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1291  CTACTTGGTCTGGGAAAATTGTCAGCAACGAAGCTTCGTGTATTGAAGTATACACAATAT  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1351  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1411  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1471  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1531  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1591  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||  | |||||||||||| ||||||| |  |||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1651  CTTGTCTCTAGCCAGTCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTTCATTTCCCA  1710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||||||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1711  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAGGCTTGTCACATACTTCACA  1770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| |  || |||||||| ||||||||||||| |\n",
+      "\n",
+      "Sbjct  1771  GTAGAAAGATTGGAGTTAGGATGTTACATCTGCGCGGCATTTCTCCGTGCTCACAGAATT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||| ||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1831  GCGAGGAGACAACTACATGATTTCCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| |||||  ||||||||||||||||| ||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1891  GAAAGTATTGCTGCTGGGGAGGAAGCTAAAAAGTTTCTGGAAGATGTTCGTGTTACATTC  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| |||||  | ||| | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  1951  CCTCAGGTGCTTCGTGTATTGAAGACTCGACAAGTAACATATGCGGTATTGACACACTTG  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| ||||   |||||| |||||||| ||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  2011  AGTGAGTATATTCAAGACCTTGGGAAGACTGGGTTGCTCGAGGAAAAGGAAATAGTCCAT  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  | || |||||||| ||  ||||||||\n",
+      "\n",
+      "Sbjct  2071  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCGCCACTGGTGAAA  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| | || ||| |||| || ||||||||||| ||||||||||||||||  \n",
+      "\n",
+      "Sbjct  2131  ATGCCAAGAGTTCGCGAACTTCTAAATACCCATCCTTTAGTTGGTGCACTGCCTGCTGCT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||| ||||| |||||  ||  ||||||||| ||  |||||\n",
+      "\n",
+      "Sbjct  2191  CTTCGTGATCCATTGTTAAGTAACACAAAGGAAACAATAAAAGGGCATGGAACAGTTCTT  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||||||||| || ||||| |||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2251  TACACAGAAGGCTCAAGACCGACTGGCGTATGGCTTGTTTCGAGTGGAATAGTAAAGTGG  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| |||  |||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2311  ACAAGTCAGAGACTATGCACGAGGCATTCATTGGATCCAATTTTGTCACATGGAAGCACT  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||| ||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2371  TTGGGTCTATATGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCG  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2431  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||  | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2491  TCTATTGAGGATTTTATGTGGCAGGAAAGTGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2551  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             ||||| || ||||||||||| |||| |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2611  ATGAATGTCTACATTAAGGGGGAAGCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2671  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2731  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2790\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             |||||||||||||| ||||||||||| |||||||| |||||||||   ||| | ||||||\n",
+      "\n",
+      "Sbjct  2791  TACTGCTATACTGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCATATTTGAA  2850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAG  2892\n",
+      "\n",
+      "             ||||| ||| |    ||  |||| || ||  | || ||||| ||||| ||| ||||    \n",
+      "\n",
+      "Sbjct  2851  ATAGGTAGGCT---AGATATAGAAGCCGATCTGCAAAGAAGTGCATCATTGCTGTCTTCA  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2893  ACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAA  2952\n",
+      "\n",
+      "             ||||  | |||  | || |||| |||||||||||||   ||| ||||||| ||||| || \n",
+      "\n",
+      "Sbjct  2908  ACCCTCGGACCATCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGAG  2967\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2953  AGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCCG  2991\n",
+      "\n",
+      "             || ||||| |||||                     || ||||||||||||||| || || \n",
+      "\n",
+      "Sbjct  2968  AGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCCT  3027\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2992  GGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACATG  3051\n",
+      "\n",
+      "             || ||| ||||| | |||||| ||||  | |||||||| || ||||||| || || ||||\n",
+      "\n",
+      "Sbjct  3028  GGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGCATGACGGATGGCATG  3087\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3052  CACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCAT-GCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             |||   | ||  |||    |||  | | ||| |  ||   | | ||| |||||    || \n",
+      "\n",
+      "Sbjct  3088  CACCGTGCTC--GGC----GGCAACCGAGGCTTGCTCATGTGGAAGGAAACCA----GAA  3137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             |||||||  ||| ||||| |  |||||||||||   |||| |||||||||||||| | ||\n",
+      "\n",
+      "Sbjct  3138  GCACAGCGTGTCGTATCCAAAGGTGCCTTCAAGGGCAGCCGACACGCGGCCTCTGTTGTC  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA  3191\n",
+      "\n",
+      "              ||   ||||||||| | |||\n",
+      "\n",
+      "Sbjct  3198  GGTGAGGTCGGAGGGCTCCAA  3218\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 74.3 bits (81),  Expect = 7e-08\n",
+      "\n",
+      " Identities = 72/93 (77%), Gaps = 0/93 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCC  3315\n",
+      "\n",
+      "             |||||  || |||| ||||| ||||| |  ||||| |||||||||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  3319  GAAGATGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTCATCGTCAGAGTGGACTCT  3378\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3316  CCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3379  CCCAGCATGCTCTCGTTCAATCCACCCTCCGGC  3411\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">FN356229.1 Triticum monococcum mRNA for salt overly sensitive 1 (sos1 gene)\n",
+      "\n",
+      "Length=3480\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3088 bits (3424),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2724/3397 (80%), Gaps = 80/3397 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  71    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGCCTCCCGCCAC  130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| |||||||||||||| |||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  131   CTCCTCCGCGGCACCCGCGTCCCTTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  |||||| | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  191   GGCGGCCTCGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| ||||| || ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  251   TGGGCTGCCATAAATCCTGACCTCCTCCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  311   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             || |  ||||| || ||||| |||||| |||| |||||| |   ||||||| | ||||||\n",
+      "\n",
+      "Sbjct  371   GCCGTCCCAGGCGTGGTGATCTCAACAGTTTTGCTTGGCGCCGCTGTAAAGCTCACTTTT  430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||  |||||| |||||||  |||||| ||| |  ||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  431   CCCTATGACTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAT  490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  491   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  551   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||| ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  611   CGAATGGTGCTTGGAAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  671   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGA  730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  731   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  790\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| ||||||||||| || |||||||| ||||| \n",
+      "\n",
+      "Sbjct  791   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTAGCCGTCATGACCTTGGGG  850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  851   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  910\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  911   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  970\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||| | |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  971   GTTATTGCAGATGGTATACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  1030\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1031  GGGTTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1090\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1091  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||| ||| |||| ||||||||||||||||| ||  | || ||||||||| | \n",
+      "\n",
+      "Sbjct  1151  GTTTGGTCAGGACTGCGAGGAGCTGTTGCTCTATCACTCTCTCTGTCCGTTAAACGTGCT  1210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| || | ||| |||||||| |||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1211  AGTGATTCATTTCAACCTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACA  1270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1271  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| ||||||| || ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1331  CTACTTGGTCTGGGAAAATTGTCAGCTACGAAGCTTCGTGTATTGAAGTATACACAATAT  1390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1391  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1451  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   |||||||||    | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1511  CAAGCACATCCCCACGATGTTCCTGACAAGGACGATCACGTACATACCATGAATTTGAAG  1570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             |||| |||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1571  GATACCCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1631  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | ||||| |||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1691  CTTGTCTCTAGTCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1751  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| | ||| |||||||| |||||||| || | |\n",
+      "\n",
+      "Sbjct  1811  GTAGAAAGATTGGAGTTAGGATGTTACATCTGTGCGGCATTTCTCCGTGCTCATAGGATT  1870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1871  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||| | ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1931  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAAACGTTCGTGTTACATTC  1990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| |||| | ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1991  CCTCAGGTGCTTCGTGCGTTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             |||||||| |||||| |||||  |||||| |||||||| |||||||| |||||  | |||\n",
+      "\n",
+      "Sbjct  2051  AGTGAGTACATTCAAGACCTCGGGAAGACTGGGTTGCTTGAGGAAAAAGAAATAGTCCAT  2110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  2111  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCGCTGGTGAAA  2170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| | || ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2171  ATGCCAAGAGTTCGCGAGCTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2231  GTTCGTGATCCATTGTTAAGTAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  |||||||||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2291  TACAGAGAAGGCTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| ||||||||| ||||||||| |||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2351  ACAAGTCAGAGACTATGCACCAGGCATTCGTTGGATCCATTTTTGTCACATGGAAGCACT  2410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2411  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCG  2470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2471  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||  | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2531  TCTATTGAGGATTTTATGTGGCAGGAAAGTGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||| | |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2591  CAGATATTTGAGAAAATGGCAATTCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||| |||||| || | | | | |||||| || ||  | \n",
+      "\n",
+      "Sbjct  2651  ATGAACGTCTACATTAAGGGGGAAGCCATTGAGCTTGGGCATAATTACATCGGTATCTTA  2710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2711  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2771  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             |||||||||||||| ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2831  TACTGCTATACTGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| ||||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2891  ATGAGGAGG---CCAGATATAGATTCCGATCTGCAAAGAAGTGCATCGTTGCTTTCTCCA  2947\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | | || |||  | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2948  G-CACTTGGACCATCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  3006\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  3007  GAGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3066\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| || || |||\n",
+      "\n",
+      "Sbjct  3067  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGCATGACGGATGGCAT  3126\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCAT---GCAGGCAACCAACGC  3107\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | |||   | ||| |||||    \n",
+      "\n",
+      "Sbjct  3127  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATGTGGAAGGAAACCA----  3174\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3108  GAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCT  3167\n",
+      "\n",
+      "             || ||||||   ||| ||||| |  |||||||||||   |||| |||| |||||||||||\n",
+      "\n",
+      "Sbjct  3175  GAAGCACAGTGTGTCGTATCCAAAGGTGCCTTCAAGGGCAGCCGACACACGGCCTCTGCT  3234\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3168  CTCCGTTCAGTCGGAGGGTTTCAA---CATGAACAGGTTGCCTGCTTCTCCTACACCG--  3222\n",
+      "\n",
+      "             ||| ||   ||||||||| | |||    |||| |||     ||||| || |  || ||  \n",
+      "\n",
+      "Sbjct  3235  CTCGGTCAGGTCGGAGGGCTCCAATGCGATGAGCAGAAAATCTGCTCCTGCCCCAGCGAT  3294\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3223  ----CCTGCTCCAGCTCCGGT-----------------AAG------ATCTGAGGG-GAT  3254\n",
+      "\n",
+      "                 ||||| |  |||||  |                 |||      | |  |||| | |\n",
+      "\n",
+      "Sbjct  3295  AGCTCCTGCACTCGCTCCCTTTCCGCCGCCCCTAGCAGAAGGCCGGCAACGCAGGGCGGT  3354\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3255  ---GGAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGA  3311\n",
+      "\n",
+      "                 |||||  || |||| ||||| ||||| |  ||||| ||||| |||||| |||| ||\n",
+      "\n",
+      "Sbjct  3355  AGGAGAAGATGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTTATCGTCAGAGTGGA  3414\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3312  CTCCCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             ||| || ||||||||||||||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3415  CTCTCCCAGCATGCTGTCTTTCAATCCACCCTCCGGC  3451\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">FN356232.1 Triticum aestivum mRNA for salt overly sensitive 1 (sos1 gene)\n",
+      "\n",
+      "Length=3483\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3086 bits (3422),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2722/3394 (80%), Gaps = 74/3394 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  74    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCCCGCCAC  133\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  134   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  193\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||   || || | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  194   GGCGGACTAGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  253\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  254   TGGGCTGCCATAAATCCTGATCTCCTCCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  313\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  314   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  373\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || || || |||||| |||| |||||| ||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  374   GCTGTCCCAGGCGTGGTCATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTTACTTTT  433\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||| | |||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  434   CCGTACGATTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  493\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  494   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  553\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  554   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  613\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| || | ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  614   CGAATGGTGCTTGGGAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  673\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  674   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  733\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  734   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  793\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  794   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  853\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  854   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  913\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  914   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  973\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||| | |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  974   GTTATTGCAGATGGTGTACTACAAGATAGTATTCATTTTGAGAGGCATGGCACATCATGG  1033\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1034  GGATTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1093\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1094  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1153\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||| ||  || |||| ||||||||||||||||| || || || ||||||||| | \n",
+      "\n",
+      "Sbjct  1154  GTTTGGTCGGGATTGCGAGGAGCTGTTGCTCTATCACTCTCTTTGTCCGTTAAACGTGCT  1213\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1214  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1273\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1274  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1333\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1334  CTACTTGGTCTGGGAAAATTGTCAGCAACTAAGCTTCGTGTATTGAAGTATACACAATAT  1393\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1394  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1453\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1454  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1513\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1514  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1573\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| ||| || |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1574  GATACTCGAGTGCGGATTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1633\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1634  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1693\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | ||||| |||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1694  CTTGTCTCTAGTCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1753\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1754  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1813\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||||| |||||||||| |||||| ||||| | ||| |||||||| |||||||| |||| |\n",
+      "\n",
+      "Sbjct  1814  GTAGATAGATTGGAGTTAGGATGCTACATCTGTGCGGCATTTCTCCGTGCTCATAGAATT  1873\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1874  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1933\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1934  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  1993\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1994  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2053\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| |||||  |||||| |||||||| |||||||| |||||  | |||\n",
+      "\n",
+      "Sbjct  2054  AGTGAGTATATTCAAGACCTCGGGAAGACTGGGTTGCTCGAGGAAAAAGAAATAGTCCAT  2113\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2114  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCTCTGGTGAAA  2173\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| ||||||| ||||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2174  ATGCCAAGAGTTCGTGAGCTTCTAAACACTCATCCTTTAGTCGGTGCACTGTCTGCTGAT  2233\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||| ||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2234  GTTCGTGATCCATTGTTAAATAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2293\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||| |||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2294  TACAGAGAAGGGTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2353\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| ||||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2354  ACAAGTCAGAGACTATGCACCAGGCATTCGTTGGATCCAATTTTGTCACATGGAAGCACT  2413\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2414  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCA  2473\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2474  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2533\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||| | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2534  TCTATTGAGGATTTTATGTGGCAGGAAAGCGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2593\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2594  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2653\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2654  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2713\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2714  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2773\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2774  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2833\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2834  TACTGCTATACCGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2893\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| | ||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2894  ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGGATCGTTGCTTTCTCCA  2950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||| | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2951  G-CACTCGGACCTTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  3009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  3010  GAGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| ||  | |||\n",
+      "\n",
+      "Sbjct  3070  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTTAGCATGTATGGCAGCATGACGGACGGCAT  3129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  3130  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATG-TGGAAGCGAACCAGAA  3180\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| |||||||  |||||||||||   |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3181  GCACAGCGCGTCGTATCCCAAGGTGCCTTCAAGGGCAGCTGACACGCGGCCTCTGCTCTC  3240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA---CATGAACAG----GTTG--CCTGCTTCTCCTACACC  3221\n",
+      "\n",
+      "              ||   ||||||||| | |||    ||||| ||      ||  |||||| |  ||| | |\n",
+      "\n",
+      "Sbjct  3241  GGTGAGGTCGGAGGGCTCCAATGCGATGAAAAGAAAATCTGCTCCTGCTCCAGCTATAGC  3300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3222  GCCTGCTCCAGCTC------------------CGGTAAGA-------TCTGAGGGGATG-  3255\n",
+      "\n",
+      "              ||||| |  ||||                  | | | ||        | ||| ||  | \n",
+      "\n",
+      "Sbjct  3301  TCCTGCGCTCGCTCCCTTTCCGCCGCCCCTAGCAGCAGGACGGCAACGCCGAGCGGTAGG  3360\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  -GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTC  3314\n",
+      "\n",
+      "              |||||| || |||| ||||| ||||| |  ||||| ||||| |||||| |||| |||||\n",
+      "\n",
+      "Sbjct  3361  AGAAGACGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTGATCGTCAGAGTGGACTC  3420\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3315  CCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "              || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3421  TCCCAGCATGCTCTCGTTCAATCTACCCTCCGGC  3454\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">FN356231.1 Aegilops tauschii mRNA for salt overly sensitive 1 (sos1 gene)\n",
+      "\n",
+      "Length=3483\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3082 bits (3417),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2721/3394 (80%), Gaps = 74/3394 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  74    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGGCTCCCGCCAC  133\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  134   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  193\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||   || || | ||| ||    ||||| || ||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  194   GGCGGACTAGAGTACGGGACCAAGCATGGCCTCGGCAAGCTCGGAGCCGGCATCCGTATC  253\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||||||  |||||| |||||||| ||  ||||||| || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  254   TGGGCTGCCATAAATCCTGATCTCCTCCTGGCTGTCTTCCTCCCCGCCCTCCTCTTCGAG  313\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  314   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  373\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || || || |||||| |||| |||||| ||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  374   GCTGTCCCAGGCGTGGTCATCTCAACAGTTTTGCTTGGCGCTGCTGTAAAGCTTACTTTT  433\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||| | |||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  434   CCGTACGATTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  493\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || |||||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  494   CCTGTTGCTGTGGTTGCTCTTCTAAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  553\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  554   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  613\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| || | ||| || ||||| || || || ||||||||||  |   |||||\n",
+      "\n",
+      "Sbjct  614   CGAATGGTGCTTGGGAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTCGTCACAAGTT  673\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  674   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  733\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| ||||||| ||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  734   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCCTTGCTGTCAGCTATATTGCT  793\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  794   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGG  853\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  854   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  913\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  914   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  973\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  974   GTTATTGCAGATGGTGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  1033\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1034  GGATTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1093\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1094  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1153\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||  || |||| ||||||||||||||||| || || || ||||||||| | \n",
+      "\n",
+      "Sbjct  1154  GTTTGGTCAGGATTGCGAGGAGCTGTTGCTCTATCACTCTCTTTGTCCGTTAAACGTGCT  1213\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| ||| |||||||| |||||||||| ||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1214  AGTGATTCAGTTCAATCTTATCTGAAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACA  1273\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1274  GGTGGCATCGTGTTTCTGACATTGATTTTGAATGGTTCTACCACACAATTTTTGTTGCAC  1333\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1334  CTACTTGGTCTGGGAAAATTGTCAGCAACTAAGCTTCGTGTATTGAAGTATACACAATAT  1393\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1394  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1453\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1454  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1513\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1514  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1573\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| ||| || |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1574  GATACTCGAGTGCGGATTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1633\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1634  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1693\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||| | ||||| |||||| ||||||| |  ||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1694  CTTGTCTCTAGTCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTCCATTTCCCA  1753\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||| ||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1754  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCAAGAAGGCTTGTCACATACTTCACA  1813\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||||| |||||||||| |||||| ||||| | ||| |||||||| |||||||| |||| |\n",
+      "\n",
+      "Sbjct  1814  GTAGATAGATTGGAGTTAGGATGCTACATCTGTGCGGCATTTCTCCGTGCTCATAGAATT  1873\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1874  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1933\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| ||||||||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  1934  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTTCTGGAAGACGTTCGTGTTACATTC  1993\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| ||||   ||||| | ||||| || |||||| |||||||||||||| ||\n",
+      "\n",
+      "Sbjct  1994  CCTCAGGTGCTTCGTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACTTG  2053\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| |||||  |||||| |||||||| |||||| | |||||  | |||\n",
+      "\n",
+      "Sbjct  2054  AGTGAGTATATTCAAGACCTCGGGAAGACTGGGTTGCTCGAGGAAGAAGAAATAGTCCAT  2113\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  |  | |||||||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2114  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTCAGAGGAATCCACCTCTGGTGAAA  2173\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| |||| ||| ||||||| | ||||||||| ||||||||| ||||||  \n",
+      "\n",
+      "Sbjct  2174  ATGCCAAGAGTTCGTGAGCTTCTAAACACTCGTCCTTTAGTCGGTGCACTGTCTGCTGAT  2233\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||| ||||||||| |||||  ||  ||  ||||| ||  |||| \n",
+      "\n",
+      "Sbjct  2234  GTTCGTGATCCATTGTTAAATAATACAAAGGAAACAATAAAAGTTCATGGAACAGTTCTA  2293\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||| |||||||| | |||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2294  TACAGAGAAGGGTCAAGGCCAATTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2353\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| ||| ||||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2354  ACAAGTCAGAGACTATGCACCAGGCATTCGTTGGATCCAATTTTGTCACATGGAAGCACT  2413\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||||||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2414  TTGGGTCTATACGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCA  2473\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2474  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2533\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||| | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2534  TCTATTGAGGATTTTATGTGGCAGGAAAGCGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2593\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| | |\n",
+      "\n",
+      "Sbjct  2594  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGT  2653\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||||| ||||||||||| |||  |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2654  ATGAACGTCTACATTAAGGGGGAATCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2713\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2714  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2773\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2774  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2833\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| |||||||| |||||||||   ||||| ||||||\n",
+      "\n",
+      "Sbjct  2834  TACTGCTATACCGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCTTATTTGAA  2893\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTC-CCA  2891\n",
+      "\n",
+      "             ||  | |||    | ||  ||||  | ||  | || ||||| | ||| ||| | || |||\n",
+      "\n",
+      "Sbjct  2894  ATGAGGAGG---CCAGATATAGAATCCGATCTGCAAAGAAGTGGATCGTTGCTTTCTCCA  2950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             | | |  | |||| | || |||| |||||||||||||   ||| ||||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2951  G-CACTCGGACCTTCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGA  3009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTTCCGAAGATC---------------------CCGAGCTGAAATCAGAAGCCACCC  2990\n",
+      "\n",
+      "              || ||||| |||||                     || ||||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  3010  GAGTTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGCCTAGCTGAAATCAGAAGTCAGCC  3069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2991  GGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACAT  3050\n",
+      "\n",
+      "              || ||| ||||| | |||||| ||||  | |||||||| || ||||||| ||  | |||\n",
+      "\n",
+      "Sbjct  3070  TGGTAGCTTCTCTGCTAGAGCCTTGCAAGTTAGCATGTATGGCAGCATGACGGACGGCAT  3129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3051  GCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGCGAG  3110\n",
+      "\n",
+      "             ||||   | ||  |||    |||  | | ||| ||| | ||||  || | | |||  || \n",
+      "\n",
+      "Sbjct  3130  GCACCGTGCTC--GGC----GGCAACCGAGGC-TCG-CTCATG-TGGAAGCGAACCAGAA  3180\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3111  GCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCTCTC  3170\n",
+      "\n",
+      "             ||||||| |||| |||||||  |||||||||||   |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3181  GCACAGCGCGTCGTATCCCAAGGTGCCTTCAAGGGCAGCTGACACGCGGCCTCTGCTCTC  3240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3171  CGTTCAGTCGGAGGGTTTCAA---CATGAACAG----GTTG--CCTGCTTCTCCTACACC  3221\n",
+      "\n",
+      "              ||   ||||||||| | |||    ||||| ||      ||  |||||| |  ||| | |\n",
+      "\n",
+      "Sbjct  3241  GGTGAGGTCGGAGGGCTCCAATGCGATGAAAAGAAAATCTGCTCCTGCTCCAGCTATAGC  3300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3222  GCCTGCTCCAGCTC------------------CGGTAAGA-------TCTGAGGGGATG-  3255\n",
+      "\n",
+      "              ||||| |  ||||                  | | | ||        | ||| ||  | \n",
+      "\n",
+      "Sbjct  3301  TCCTGCGCTCGCTCCCTTTCCGCCGCCCCTAGCAGCAGGACGGCAACGCCGAGCGGTAGG  3360\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  -GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTC  3314\n",
+      "\n",
+      "              |||||| || |||| ||||| ||||| |  ||||| ||||| |||||| |||| |||||\n",
+      "\n",
+      "Sbjct  3361  AGAAGACGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTGATCGTCAGAGTGGACTC  3420\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3315  CCCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "              || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3421  TCCCAGCATGCTCTCGTTCAATCTACCCTCCGGC  3454\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">KX268354.1 Triticum turgidum subsp. durum voucher CU-PBRL37 plasma membrane \n",
+      "\n",
+      "Na+/H+ antiporter (SOS1) mRNA, complete cds\n",
+      "\n",
+      "Length=3429\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3077 bits (3412),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2603/3204 (81%), Gaps = 44/3204 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| |||||||||||| | | |||  | || |||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  31    CCCGACGACGCGGTGCTCTTCTTCGGGGTGGCCCTCGTGCTGGGCATCGCCTCCCGCCAC  90\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  91    CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  ||| || | ||| ||    ||||| |||||||| || ||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  151   GGCGGCCTAGAGTACGGGACCAAGCATGGCCTGGGCAAGCTCGGAGCCGGCATCCGTATC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             ||| ||  |||||| || ||||| ||  |||| || || || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  211   TGGTCTGCCATAAATCCCGATCTCCTTCTGGCCGTCTTCCTCCCCGCCCTCCTCTTCGAG  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| ||||||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  271   AGCTCCTTCTCCATGGAAGTGCACCAGATCAAGAAATGCATGGCGCAGATGGTGTTACTT  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             ||||  ||||| || ||||| |||||| |||| |||||| |   ||||||| | ||||||\n",
+      "\n",
+      "Sbjct  331   GCTGTCCCAGGCGTGGTGATCTCAACAGTTTTGCTTGGCGCCGCTGTAAAGCTCACTTTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||  |||||| |||||||  |||||| ||| |  ||||||| ||||||||||| || \n",
+      "\n",
+      "Sbjct  391   CCGTATGACTGGAACTGGAAAACATCATTCTTGTTCAGTGGACTGCTTAGTGCAACCGAC  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             ||||||||||||||||| || || ||||| || |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  451   CCTGTTGCTGTGGTTGCTCTTCTCAAAGACCTAGGAGCAAGCAAAAAGCTCAGTACAATA  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || || ||  | ||||| || ||||||||||||||||||||||| ||||| |  \n",
+      "\n",
+      "Sbjct  511   ATTGAAGGAGAGTCCTTGATGAATGACGGGACTGCTATTGTTGTCTATCAGCTATTCTAT  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             ||||||||||| |||| ||| || ||||| || || || ||||||||||| |   |||||\n",
+      "\n",
+      "Sbjct  571   CGAATGGTGCTTGGAAAAACTTTCGATGCAGGGTCCATCATAAAGTTCTTGTCACAAGTT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| ||||||||| |||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  631   TCACTTGGAGCTGTTGCTCTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| |||||||  |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  691   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACCGTTGCTGTCAGCTATATTGCT  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  ||||||| ||||||||||| || |||||||| ||||| \n",
+      "\n",
+      "Sbjct  751   TTCTTCACTGCGCAAGATGCATTGGAGGTCTCTGGTGTTTTAGCCGTCATGACCTTGGGG  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| |||||| |||||||||||\n",
+      "\n",
+      "Sbjct  811   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGCAAAGTTTACAT  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  871   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             |||||||||||||| || |||||| ||||| |||||||||| || |||||||| || |||\n",
+      "\n",
+      "Sbjct  931   GTTATTGCAGATGGCGTACTACAAGATAATATTCATTTTGAGAGGCATGGCACATCATGG  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||| | ||||| | |||||| || | ||||||||| ||||||\n",
+      "\n",
+      "Sbjct  991   GGGTTCCTTCTTCTGCTCTATGTTTTTGTGCAAATATCGCGTGCTGTAGTTGTCGGTGTT  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             ||||||||| ||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1051  TTGTATCCACTGTTGCGTCACTTTGGGTATGGTATGGACATCAAAGAAGCCACAGTTCTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||| ||| |||| ||||||||||||||||| ||  | || ||||||||| | \n",
+      "\n",
+      "Sbjct  1111  GTTTGGTCAGGACTGCGAGGAGCTGTTGCTCTATCACTTTCTCTGTCCGTTAAACGTGCT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             |||||| |||| |||||||||||| |||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1171  AGTGATTCAGTTCAAACTTATCTGAAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACA  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| ||||||||||| |||||| | |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1231  GGTGGCATCGTGTTTCTGACTTTGATTTTGAATGGTTCCACCACACAATTTTTGTTGCAC  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  |||  ||| |||||||||| ||| ||||  ||||||| ||||||  | ||\n",
+      "\n",
+      "Sbjct  1291  CTACTTGGTCTGGGAAAATTGTCAGCAACGAAGCTTCGTGTATTGAAGTATACACAATAT  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||| ||||| ||||| |||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1351  GAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||| ||||||||||| ||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1411  CCTGTTGATTGGGTTAATGTGAAGAAATATATCACATGTTTGAATAACTTGGAAGATGAA  1470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  |||||||| ||  |   ||||||||||   | | | |||||||||||  | | |\n",
+      "\n",
+      "Sbjct  1471  CAAGCACATCCCCACGATGTTCCTGACAAGGATGATCACGTACATACCATGAATTTGAAG  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| |||||| |||||||||| |||||||| || ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1531  GATACTCGAGTGCGGCTTTTGAATGGTGTGCAAGCTGCTTACTGGGGAATGCTTGAAGAG  1590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| |||||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1591  GGACGAATAACTCAATCTACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| |||| || ||  | |||||||||||| ||||||| |  |||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1651  CTTGTCTCTAGCCAGTCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTTCATTTCCCA  1710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             ||||||||||| ||||| |||||||||||||||||||||| |||  ||||||||||||||\n",
+      "\n",
+      "Sbjct  1711  AATTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAGGCTTGTCACATACTTCACA  1770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||||||||| |  || |||||||| ||||||||||||| |\n",
+      "\n",
+      "Sbjct  1771  GTAGAAAGATTGGAGTTAGGATGTTACATCTGCGCGGCATTTCTCCGTGCTCACAGAATT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||| ||||||||||||||| ||| ||||| ||| || |||\n",
+      "\n",
+      "Sbjct  1831  GCGAGGAGACAACTACATGATTTCCTTGGTGATAGTGAGATTGCAAGAATTGTCATCGAT  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| |||||  ||||||||||||||||| ||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  1891  GAAAGTATTGCTGCTGGGGAGGAAGCTAAAAAGTTTCTGGAAGATGTTCGTGTTACATTC  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| |||||  | ||| | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  1951  CCTCAGGTGCTTCGTGTATTGAAGACTCGACAAGTAACATATGCGGTATTGACACACTTG  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             ||||||||||||||| ||||   |||||| |||||||| ||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  2011  AGTGAGTATATTCAAGACCTTGGGAAGACTGGGTTGCTCGAGGAAAAGGAAATAGTCCAT  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  | || |||||||| ||  ||||||||\n",
+      "\n",
+      "Sbjct  2071  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCGCCACTGGTGAAA  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| | || ||| |||| || ||||||||||| ||||||||||||||||  \n",
+      "\n",
+      "Sbjct  2131  ATGCCAAGAGTTCGCGAACTTCTAAATACCCATCCTTTAGTTGGTGCACTGCCTGCTGCT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || |||||||| ||||| |||||  ||  ||||||||| ||  |||||\n",
+      "\n",
+      "Sbjct  2191  CTTCGTGATCCATTGTTAAGTAACACAAAGGAAACAATAAAAGGGCATGGAACAGTTCTT  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             || |  ||||||||||| || ||||| |||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2251  TACACAGAAGGCTCAAGACCGACTGGCGTATGGCTTGTTTCGAGTGGAATAGTAAAGTGG  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||| |||  |||||||| |||||||||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2311  ACAAGTCAGAGACTATGCACGAGGCATTCATTGGATCCAATTTTGTCACATGGAAGCACT  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| |||| ||||   | | ||||||||| ||||||||||| || |||||||| || \n",
+      "\n",
+      "Sbjct  2371  TTGGGTCTATATGAGGCATTAACTGGAAAGCCTTATATTTGTGACATTATTACAGAATCG  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||||\n",
+      "\n",
+      "Sbjct  2431  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCT  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             |||||||||| |||  |||||||||||||  | ||||| ||||| ||| |||| || |||\n",
+      "\n",
+      "Sbjct  2491  TCTATTGAGGATTTTATGTGGCAGGAAAGTGCTCTAGTCATTGCAAGGATTTTGCTCCCT  2550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| | |||||||| |  \n",
+      "\n",
+      "Sbjct  2551  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCAGAAAGGTCTAGC  2610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             ||||| || ||||||||||| |||| |||||| || | | | | | || | |||||  | \n",
+      "\n",
+      "Sbjct  2611  ATGAATGTCTACATTAAGGGGGAAGCCATTGAGCTTGGGCATAATAACGTAGGCATCTTA  2670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "              ||||||||||| |||||||  |||  | || | | |||||| ||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2671  TTGGAAGGATTTCTGAAGACAGAGAACCGAACTTTGATCACAGCTCCAGCTGTGCTGCTG  2730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||   | ||||||| ||  | |||||||| ||||| ||  | |||\n",
+      "\n",
+      "Sbjct  2731  CCGTCAAACACTGATTTGAACTTATTTGGCCTGCAGTCTTCAGCCATGAATCAGATAGAC  2790\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             |||||||||||||| ||||||||||| |||||||| |||||||||   ||| | ||||||\n",
+      "\n",
+      "Sbjct  2791  TACTGCTATACTGCTCCCAGTTATCAGGTGGAGGCTAGAGCAAGGGCCATCATATTTGAA  2850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAG  2892\n",
+      "\n",
+      "             ||||| ||| |    ||  |||| || ||  | || ||||| ||||| ||| ||||    \n",
+      "\n",
+      "Sbjct  2851  ATAGGTAGGCT---AGATATAGAAGCCGATCTGCAAAGAAGTGCATCATTGCTGTCTTCA  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2893  ACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAA  2952\n",
+      "\n",
+      "             ||||  | |||  | || |||| |||||||||||||   ||| ||||||| ||||| || \n",
+      "\n",
+      "Sbjct  2908  ACCCTCGGACCATCACGAACACAGAGCAAAGAGCATGTCGGTTTGCTCAGGTGGCCGGAG  2967\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2953  AGCTTCCGAAGATCC---------------------CGAGCTGAAATCAGAAGCCACCCG  2991\n",
+      "\n",
+      "             |||||||| ||||||                     | ||||||||||||| | || || \n",
+      "\n",
+      "Sbjct  2968  AGCTTCCGGAGATCCAGCGGGCCTGGGAATGCAAGTCTAGCTGAAATCAGAGGTCAGCCC  3027\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2992  GGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGACATG  3051\n",
+      "\n",
+      "             || ||| ||||| | |||||| ||||  | |||||||| || || |||| || || ||||\n",
+      "\n",
+      "Sbjct  3028  GGTAGCTTCTCTGCTAGAGCCTTGCAAGTCAGCATGTATGGCAGTATGACGGATGGCATG  3087\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3052  CACTCAGGTCAGGGCCAGAGGCGGCAGC---GGCATCGTCGCAT-GCAGGCAACCAACGC  3107\n",
+      "\n",
+      "             |||   | ||         ||||||| |   ||| |  ||   | | ||| |||||    \n",
+      "\n",
+      "Sbjct  3088  CACCGTGCTC---------GGCGGCAACCAAGGCTTGCTCATGTGGAAGGAAACCA----  3134\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3108  GAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAAGCCAACACGCGGCCTCTGCT  3167\n",
+      "\n",
+      "             || |||||||  ||| ||||| |  |||||||||||   |||| |||||||||||||| |\n",
+      "\n",
+      "Sbjct  3135  GAAGCACAGCGTGTCGTATCCAAAGGTGCCTTCAAGGGCAGCCGACACGCGGCCTCTGTT  3194\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3168  CTCCGTTCAGTCGGAGGGTTTCAA  3191\n",
+      "\n",
+      "              || ||   ||||||||| | |||\n",
+      "\n",
+      "Sbjct  3195  GTCGGTGAGGTCGGAGGGCTCCAA  3218\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 74.3 bits (81),  Expect = 7e-08\n",
+      "\n",
+      " Identities = 72/93 (77%), Gaps = 0/93 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCC  3315\n",
+      "\n",
+      "             |||||  || |||| ||||| ||||| |  ||||| |||||||||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  3319  GAAGATGACGACTCGAGCGATGAGTCCGTGGGGGAAGAAGTCATCGTCAGAGTGGACTCT  3378\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3316  CCTAGCATGCTGTCTTTTCGTCAGTCCTCCGGC  3348\n",
+      "\n",
+      "             || |||||||| || ||   ||   ||||||||\n",
+      "\n",
+      "Sbjct  3379  CCCAGCATGCTCTCGTTCAATCCACCCTCCGGC  3411\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AB628205.1 Puccinellia tenuiflora PutNHA mRNA for Na+/H+ antiporter, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3724\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 3008 bits (3335),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2598/3215 (81%), Gaps = 50/3215 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| || ||||||||| | | |||||| || ||||| || |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  22    CCCGACGACGCCGTGCTCTTCTTCGGGGTCTCCCTCGTGCTCGGCATCGGCTCCCGCCAC  81\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||| | ||||||\n",
+      "\n",
+      "Sbjct  82    CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCTTCGCCCTC  141\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  |||||| | ||| ||    || || |||||||| || || || ||||| || || \n",
+      "\n",
+      "Sbjct  142   GGCGGCCTCGAGTACGGGACGAAGCACGGCCTGGGCAAGCTCGGTGCCGGCATCCGGATA  201\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             |||||   |||||| || ||||||||  |||| ||||| || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  202   TGGGCCGCCATAAATCCCGATCTTCTTCTGGCCGTTTTCCTCCCCGCCCTCCTCTTCGAG  261\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| || |||| ||| ||||| |||||| || | |||\n",
+      "\n",
+      "Sbjct  262   AGCTCCTTCTCCATGGAAGTGCACCAGATTAAGAAATGCATGGCGCAGATGATGTTACTT  321\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             |||   |||||||| ||| | || ||| | || |||||| ||   || ||| ||||||||\n",
+      "\n",
+      "Sbjct  322   GCTATTCCAGGTGTGGTGCTCTCGACAGTCTTGCTTGGCTCTGCCGTGAAGCTTACTTTT  381\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || |||||||||| |||||||  ||| || ||| |||||||||| |||||||| || |||\n",
+      "\n",
+      "Sbjct  382   CCGTACAACTGGAACTGGAAAACATCCTTCTTGTTTGGTGGACTGCTTAGTGCGACCGAT  441\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             || ||||||||||| || || |||||||| || |||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  442   CCCGTTGCTGTGGTCGCGCTCCTAAAAGACCTCGGAGCAAGTAAAAAGCTCAGCACAATT  501\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || |||||  |||||||||| |||||||||||||||||||| ||  |||| |  \n",
+      "\n",
+      "Sbjct  502   ATTGAAGGAGAATCTTTAATGAACGACGGGACTGCTATTGTTGTCTACCAGTTATTCTAT  561\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             |||||||||||||| | ||| || ||||| || || || |||||||||||    ||||||\n",
+      "\n",
+      "Sbjct  562   CGAATGGTGCTCGGGAAAACTTTCGATGCAGGGTCCATAATAAAGTTCTTGACAGAAGTT  621\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| |||||||||||||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  622   TCACTTGGAGCTGTTGCTTTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  681\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| || |||||||||||||||||| |||||||||| |||||||||||||| || \n",
+      "\n",
+      "Sbjct  682   TTTATTTTCAACGATACAATCATAGAGATTTCACTTACTCTCGCTGTCAGCTATATTGCC  741\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  | ||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  742   TTCTTCACTGCGCAAGATGCATTTGAGGTCTCTGGTGTTTTGGCCGTCATGACTTTGGGG  801\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  802   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGGAAAGTTTACAT  861\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| ||||| ||| |||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  862   CATTTCTGGGAGATGATTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  921\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| | |||||||| ||||||||  |||| |||\n",
+      "\n",
+      "Sbjct  922   GTTATTGCAGATGGTGTACTACAAGATAATATCCATTTTGAGAGACATGGTGCTTCATGG  981\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||||||||||||| ||    ||||| |||| | | || | |||||||||   ||||\n",
+      "\n",
+      "Sbjct  982   GGGTTCCTTCTTCTGCTATACGCGTTTGTGCTAACAGCGCGTGCTGTAGTTGTCACTGTT  1041\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             |||| ||| |||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1042  TTGTTTCCGTTGTTGCGTCACTTTGGGTATGGTATGGACGTCAAAGAAGCCACAGTTCTT  1101\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||| || |||||||||||||||||||||| ||  | |||||||||||| | \n",
+      "\n",
+      "Sbjct  1102  GTTTGGTCAGGGTTGCGAGGGGCTGTTGCTCTATCACTCTCTCTGTCTGTTAAACGTGCT  1161\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             ||||| ||||  ||| ||||||||  | ||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1162  AGTGACGCAGATCAACCTTATCTGAGATCAGAAGTCGGAACAATGTTTGTGTTCTTCACT  1221\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||| |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1222  GGTGGCATTGTGTTTCTGACATTGATTGTGAATGGTTCTACCACACAATTTTTGTTGCAC  1281\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGG-CATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACA  1334\n",
+      "\n",
+      "              | ||||| | |||| |||||||||||||||||| ||||  ||||||| ||||||||| |\n",
+      "\n",
+      "Sbjct  1282  CTACTTGGTCTTGGA-AAACTGTCAGCAACAAAGCTTCGTGTATTGAAGTATACAAGATA  1340\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1335  TGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGG  1394\n",
+      "\n",
+      "             ||||||||  ||||| |||  ||||||||||||||| || ||||||||||| || |||||\n",
+      "\n",
+      "Sbjct  1341  TGAAATGCAAAACAAGGCAAGAGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGG  1400\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1395  ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGA  1454\n",
+      "\n",
+      "              |||||||||||||||||||| ||||||||||| ||||||||| || ||||||| |||||\n",
+      "\n",
+      "Sbjct  1401  GCCTGCTGATTGGGTTACTGTGAAGAAATATATAACATGTTTGAATAACTTGGAAGATGA  1460\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1455  ACCAGAGCATCCCCATGAC---ATTGACAAGGATAGCCGCATGCATACCATGAACCTAAG  1511\n",
+      "\n",
+      "             || ||  ||||| ||||||     |||||| |||     | |||||||||||||| | ||\n",
+      "\n",
+      "Sbjct  1461  ACAAGCACATCCTCATGACGCTCCTGACAAAGATGAAAACGTGCATACCATGAACTTGAG  1520\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1512  GGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGA  1571\n",
+      "\n",
+      "             |||||  ||||| || ||| |||||||||||||||| || || |||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1521  GGATACTCGAGTGCGTCTTTTGAATGGTGTACAAGCCGCTTACTGGGAAATGCTTGAAGA  1580\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1572  GGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGA  1631\n",
+      "\n",
+      "             |||||| ||||||||| | |||||||||||| | |||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1581  GGGACGGATAACTCAATCCACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGA  1640\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1632  CCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCC  1691\n",
+      "\n",
+      "              ||| | || |  ||| | ||||| |||||| ||||||| |  |||||||| ||||||||\n",
+      "\n",
+      "Sbjct  1641  TCTTGTTTCTACCCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTTCAGTTCCC  1700\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1692  GAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCAC  1751\n",
+      "\n",
+      "              || |||||||| ||||| |||||||||||||||||||||| | |  | || ||||||||\n",
+      "\n",
+      "Sbjct  1701  AAAGTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAGGGTTGTTACTTACTTCAC  1760\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1752  AGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAAC  1811\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| | ||||||||||||||||||||| |||| \n",
+      "\n",
+      "Sbjct  1761  AGTAGAAAGATTGGAGTTAGGATGCTACATCTGTGCTGCATTTCTTCGTGCTCATAGAAT  1820\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1812  TGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGA  1871\n",
+      "\n",
+      "             ||| ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| || ||\n",
+      "\n",
+      "Sbjct  1821  TGCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATAGA  1880\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1872  TGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTT  1931\n",
+      "\n",
+      "             |||||||| ||||| |||||||||||||||||| || ||||||||||||||| |||| ||\n",
+      "\n",
+      "Sbjct  1881  TGAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTCCTGGAAGATGTTCGTCTTACATT  1940\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1932  CCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCT  1991\n",
+      "\n",
+      "             ||| |||||||| | ||   ||||| | ||||| || |||||| ||||||||||||||||\n",
+      "\n",
+      "Sbjct  1941  CCCTCAGGTGCTTCATGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACCT  2000\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1992  GAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCA  2051\n",
+      "\n",
+      "             ||| |||||||||||| ||||    ||||| || ||||| ||||||||||||||| | ||\n",
+      "\n",
+      "Sbjct  2001  GAGCGAGTATATTCAAGACCTTGGAAAGACTGGATTGCTTGAGGAAAAGGAAATGGTCCA  2060\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2052  TTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAA  2111\n",
+      "\n",
+      "             | | ||||||||||||||||||||||| |||||  | || |||||||||||  ||| |||\n",
+      "\n",
+      "Sbjct  2061  TCTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCACCACTGGCGAA  2120\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2112  AATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGT  2171\n",
+      "\n",
+      "              |||||||||||| | || |||||||| || ||||||||||| ||||| |||||||||| \n",
+      "\n",
+      "Sbjct  2121  GATGCCAAGAGTTAGCGAACTTTTAAATACTCATCCTTTAGTTGGTGCGCTGCCTGCTGC  2180\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2172  CACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCT  2231\n",
+      "\n",
+      "                 |||||||| || ||||||  ||||||||||||  ||  || |||||| || || ||\n",
+      "\n",
+      "Sbjct  2181  TGTTCGTGATCCATTGTTAAGTGGTACAAAAGAAACAATAAAAGTGCATGGAACAATCCT  2240\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2232  TTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTG  2291\n",
+      "\n",
+      "             |||||  |||||||||||||| |||||| ||||||||||||| |  ||  |||| |||||\n",
+      "\n",
+      "Sbjct  2241  TTATAGTGAAGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTG  2300\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2292  GGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACAC  2351\n",
+      "\n",
+      "             | |||||||||||||||||| ||||||||| |||||||||||||| ||||| || | |||\n",
+      "\n",
+      "Sbjct  2301  GACAAGTCAGAGACTAAGCACCAGGCATTCATTGGATCCAATTTTGTCACATGGGAGCAC  2360\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2352  TTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTC  2411\n",
+      "\n",
+      "              || ||| |||| ||||   |  |||||||||| ||||||||||| || ||||| || ||\n",
+      "\n",
+      "Sbjct  2361  GTTAGGTCTATATGAGGCTTTAGTTGGAAAGCCTTATATTTGTGACATTATTACGGAATC  2420\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2412  TGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCC  2471\n",
+      "\n",
+      "              |||||||||||||||||  | ||||||||||| || |||||| | || || || |||||\n",
+      "\n",
+      "Sbjct  2421  GGTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCC  2480\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2472  TTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCC  2531\n",
+      "\n",
+      "              || ||||||| |||  |||||||||||||  | ||||||||||| ||| |||| || ||\n",
+      "\n",
+      "Sbjct  2481  CTCCATTGAGGATTTTTTGTGGCAGGAAAGTGCTCTAGTTATTGCGAGGATTTTTCTCCC  2540\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2532  TCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGAC  2591\n",
+      "\n",
+      "              ||||||||||||||||||||||||| |||||| ||||| |||||| |||||||||| ||\n",
+      "\n",
+      "Sbjct  2541  CCAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCTGAAAGGTCTAC  2600\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2592  TATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCT  2651\n",
+      "\n",
+      "             ||||||| | ||||||||||| |||||||||||||| | | | | |||| |  ||||  |\n",
+      "\n",
+      "Sbjct  2601  TATGAACATCTACATTAAGGGGGAAGACATTGAACTCGGGCATAATTACGTATGCATCTT  2660\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2652  GCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCT  2711\n",
+      "\n",
+      "              ||||| || ||| |||||||   ||  ||||   | |||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  2661  ACTGGAGGGGTTTCTGAAGAC---GAACCAAACCTTGATCACACCTCCAGCTGTGCTGCT  2717\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2712  TCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGA  2771\n",
+      "\n",
+      "              || || || |   | ||     ||||||| ||  | |||||||| ||||||||| | ||\n",
+      "\n",
+      "Sbjct  2718  GCCGTCAAACACTGATTTGAATGTATTTGGCCTGCAGTCTTCAGCCATGAACCATATAGA  2777\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2772  CTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGA  2831\n",
+      "\n",
+      "             ||||||||||||||| || |||||||| ||||| || ||||| |||   ||||| |||||\n",
+      "\n",
+      "Sbjct  2778  CTACTGCTATACTGCACCGAGTTATCAGGTGGAAGCTAGAGCGAGGGCGATCTTATTTGA  2837\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2832  AATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCA  2891\n",
+      "\n",
+      "              ||   ||||  | | |||| ||||   || || || ||||| ||||| ||| |||| | \n",
+      "\n",
+      "Sbjct  2838  TAT---AAGGAGTCCAGAGGCAGAGAGCGATATGCAAAGAAGTGCATCGTTGCTGTCTCC  2894\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             ||  | || ||| || || |||| ||||||||||||||  ||| |||| || |||||| |\n",
+      "\n",
+      "Sbjct  2895  GAAACTTGGACCACCACGAACACAGAGCAAAGAGCATATCGGTTTGCTAAGGTGGCCACA  2954\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTT---CCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCA  2987\n",
+      "\n",
+      "              || ||   ||  |||||| |                     |||||||||| |||  ||\n",
+      "\n",
+      "Sbjct  2955  GAGTTTCCACCACAGATCCAGAGGGCCTGGAAATCCAAGCTTAGCTGAAATCGGAAAACA  3014\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2988  CCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATG---GT  3044\n",
+      "\n",
+      "              || || ||| ||||| | |||||||||||  | ||||||||||| |||||||||   | \n",
+      "\n",
+      "Sbjct  3015  ACCTGGTAGCTTCTCTGCTAGAGCCCTGCAAGTCAGCATGTACGGCAGCATGATGGATGA  3074\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3045  TGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAA  3104\n",
+      "\n",
+      "             ||| |||||| | |  ||  |||    ||| | | ||| |  |||| || | |||   ||\n",
+      "\n",
+      "Sbjct  3075  TGAAATGCACACTGCGCA--GCC----GCGACCGAGGCCTGATCGCGTGGAAGCA---AA  3125\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3105  CGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAA---GCCAACACGCGGCC  3161\n",
+      "\n",
+      "             |  || ||||||||| |||||||| |  ||||| ||||| | |    |||||||  ||||\n",
+      "\n",
+      "Sbjct  3126  CCAGAAGCACAGCTCATCCTATCCGAAGGTGCCCTCAAGGCCATTGTCCAACACAAGGCC  3185\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3162  TCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "             ||| ||||| || | ||| |||||||  || ||||\n",
+      "\n",
+      "Sbjct  3186  TCTACTCTCTGTACGGTCAGAGGGTTCAAATATGA  3220\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 72.5 bits (79),  Expect = 2e-07\n",
+      "\n",
+      " Identities = 62/77 (81%), Gaps = 0/77 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCC  3315\n",
+      "\n",
+      "             ||||||  |||||  |||||||||||  | ||||| ||||| || ||| |||||||||| \n",
+      "\n",
+      "Sbjct  3325  GAAGACGGCAACTTGAGCGACGAGTCCACGGGGGAAGAAGTTATTGTCAGAGTCGACTCT  3384\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3316  CCTAGCATGCTGTCTTT  3332\n",
+      "\n",
+      "             || ||||||||  ||||\n",
+      "\n",
+      "Sbjct  3385  CCCAGCATGCTCGCTTT  3401\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">GQ452778.1 Puccinellia tenuiflora plasma membrane Na+/H+ antiporter mRNA, \n",
+      "\n",
+      "complete cds\n",
+      "\n",
+      "Length=3811\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2961 bits (3283),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2585/3212 (80%), Gaps = 44/3212 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| || ||||||||  | | |||||| || ||||| || |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  91    CCCGACGACGCCGTGCTCTTATTCGGGGTCTCCCTCGTGCTCGGCATCGGCTCCCGCCAC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || || || ||||||||||||| ||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  151   CTCCTTCGCGGCACCCGCGTCCTCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  ||| || | ||| ||    || || |||||||| || ||||| ||||| || || \n",
+      "\n",
+      "Sbjct  211   GGCAGCCTAGAGTACGGCACGAAGCACGGCCTGGGCAAGCTCGGAGCCGGCATCCGGATA  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             |||||   | |||| || ||||||||  | || ||||| || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  271   TGGGCCGCCGTAAATCCCGATCTTCTCCTCGCCGTTTTCCTCCCCGCCCTCCTCTTCGAG  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| || |||| ||| | ||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  331   AGCTCCTTCTCCATGGAAGTACACCAGATTAAGAAATGCACGGCGCAGATGGTGTTACTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             |||   |||||||| ||| | |||||| | || |||||| ||   |||||| ||||||||\n",
+      "\n",
+      "Sbjct  391   GCTACTCCAGGTGTGGTGCTCTCAACAGTCTTGCTTGGCTCTGCCGTAAAGCTTACTTTT  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||||||||||||||||||  ||| || ||| |||||||||| |||||||| || |||\n",
+      "\n",
+      "Sbjct  451   CCGTACAACTGGAGCTGGAAAACATCCTTCTTGTTTGGTGGACTGCTTAGTGCGACCGAT  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             || ||||||||||| || || |||||||  ||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  511   CCAGTTGCTGTGGTCGCGCTCCTAAAAGTCCTTGGAGCAAGTAAAAAGCTCAGCACAATA  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "              |||| || ||||| || ||||| || ||||||||||||||||||| |||  |||| |  \n",
+      "\n",
+      "Sbjct  571   GTTGAAGGAGAATCCCTGATGAATGACGGGACTGCTATTGTTGTCTGTCAGTTATTCTAT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             |||||||||| ||| | ||| || ||||| || || || |||||||||||     |||||\n",
+      "\n",
+      "Sbjct  631   CGAATGGTGCCCGGGACAACTTTCGATGCGGGGTCCATAATAAAGTTCTTGACACAAGTT  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| |||||||||||||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  691   TCACTTGGAGCTGTTGCTTTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| || |||||||||||||||||| |||||||||| |||||||||||||| || \n",
+      "\n",
+      "Sbjct  751   TTTATTTTCAACGATACAATCATAGAGATTTCACTTACTCTCGCTGTCAGCTATATTGCC  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             ||||||||||| |||||| |  | ||||| |||||||||||||| |||||||| ||||| \n",
+      "\n",
+      "Sbjct  811   TTCTTCACTGCACAAGATGCATTTGAGGTCTCTGGTGTTTTGGCCGTCATGACTTTGGGG  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  871   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGGAAAGTTTACAT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| ||||| ||| |||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  931   CATTTCTGGGAGATGATTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| | |||||||| ||||||||  |||| |||\n",
+      "\n",
+      "Sbjct  991   GTTATTGCAGATGGTGTACTACAAGATAATATCCATTTTGAGAGACATGGTGCTTCATGG  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || ||||||||| |||| ||    ||||| |||| | | || | |||||||||   ||||\n",
+      "\n",
+      "Sbjct  1051  GGGTTCCTTCTTGTGCTATACGCGTTTGTGCTAACAGCGCGTGCTGTAGTTGTCACTGTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             |||| ||| |||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1111  TTGTTTCCGTTGTTGCGTCACTTTGGGTATGGTATGGACGTCAAAGAAGCCACAGTTCTT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || ||||||||| ||||||||||||||||||||||||| ||  | |||||||||||| | \n",
+      "\n",
+      "Sbjct  1171  GTTTGGTCAGGGTTGAGAGGGGCTGTTGCTCTATCACTCTCTCTGTCTGTTAAACGTGCT  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             ||||| ||||  ||| ||||||||  | ||||||| |||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1231  AGTGACGCAGATCAACCTTATCTGAGATCAGAAGTCGGAGTAATGTTTGTGTTCTTCACT  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             ||||||||||||||||||||||||||||| |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1291  GGTGGCATTGTGTTTCTGACATTGATTGTGAATGGTTCTACCACACAATTTTTGTTGCAC  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACAT  1335\n",
+      "\n",
+      "              | |||||  | |  |||||||||||||||||| ||||  ||||||| || |||||| ||\n",
+      "\n",
+      "Sbjct  1351  CTACTTGGTCTCGGAAAACTGTCAGCAACAAAGCTTCGTGTATTGAAGTACACAAGATAT  1410\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1336  GAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGA  1395\n",
+      "\n",
+      "             |||||||  ||||| |||  ||||||||||||||| || ||||||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1411  GAAATGCAAAACAAGGCAAGAGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGG  1470\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1396  CCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGAA  1455\n",
+      "\n",
+      "             |||||||||||||||||||| ||||||||||| ||||||||| || ||||||| ||||||\n",
+      "\n",
+      "Sbjct  1471  CCTGCTGATTGGGTTACTGTGAAGAAATATATAACATGTTTGAATAACTTGGAAGATGAA  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1456  CCAGAGCATCCCCATGAC---ATTGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             | ||  ||||| ||||||     |||||| |||     | |||||||||||||| | |||\n",
+      "\n",
+      "Sbjct  1531  CAAGCACATCCTCATGACGCTCCTGACAAAGATGAAAACGTGCATACCATGAACTTGAGG  1590\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             ||||  ||||| || ||| |||||||||||||||| || || |||| |||||||||||||\n",
+      "\n",
+      "Sbjct  1591  GATACTCGAGTGCGTCTTTTGAATGGTGTACAAGCCGCTTACTGGGAAATGCTTGAAGAG  1650\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||||||||||||| | |||||||||||| | |||||||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1651  GGACGAATAACTCAATCCACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGAT  1710\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| | || |  ||| | |||||||||||| ||||||| |  |||||||| || ||||| \n",
+      "\n",
+      "Sbjct  1711  CTTGTTTCTACCCAATCATTATGTGATTGGAAGGGTTTGCGGTCCAATGTTCATTTCCCA  1770\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             || |||||||| ||||| |||||||| ||||||||||||| | |  | || |||||||||\n",
+      "\n",
+      "Sbjct  1771  AAGTACTATAGGTTCCTTCAGATGAGTAGGTTGCCACGAAGGGTTGTTACTTACTTCACA  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             |||||||||||||||| |||||| ||||| | ||||||||||||||||||||| |||| |\n",
+      "\n",
+      "Sbjct  1831  GTAGAAAGATTGGAGTTAGGATGCTACATCTGTGCTGCATTTCTTCGTGCTCATAGAATT  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             || ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| ||||||\n",
+      "\n",
+      "Sbjct  1891  GCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATTGAT  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||| ||||| |||||||||||||||||| || ||||||||||||||  |||| |||\n",
+      "\n",
+      "Sbjct  1951  GAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTCCTGGAAGATGTTCGCCTTACATTC  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || |||||||| | ||   ||||| | ||||| || |||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  2011  CCTCAGGTGCTTCATGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACCTG  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             || |||||||||||| ||||    ||||| || ||||| ||||||||||||||| | |||\n",
+      "\n",
+      "Sbjct  2071  AGCGAGTATATTCAAGACCTTGGAAAGACTGGATTGCTTGAGGAAAAGGAAATGGTCCAT  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | ||||||||||||||||||||||| |||||  | || |||||||||||  ||| ||| \n",
+      "\n",
+      "Sbjct  2131  CTCGATGATGCTTTGCAGACAGACTTGAAGAAGCTTAAGAGGAATCCACCACTGGCGAAG  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||| ||| | || |||||||| || ||||||||||| ||||| ||||||||||  \n",
+      "\n",
+      "Sbjct  2191  ATGCCAAGGGTTAGCGAACTTTTAAATACTCATCCTTTAGTTGGTGCGCTGCCTGCTGCT  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||||||| || ||||||| ||||||||||||  ||  || |||||| || || |||\n",
+      "\n",
+      "Sbjct  2251  GTTCGTGATCCATTGTTAAGTAGTACAAAAGAAACAATAAAAGTGCATGGAACAATCCTT  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             ||||  |||||||||||||| |||||| ||||||||||||| |  ||  |||| ||||||\n",
+      "\n",
+      "Sbjct  2311  TATAGTGAAGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGG  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "              |||||||||||||||||| ||||||||| |||||||||||||| ||||| || | ||| \n",
+      "\n",
+      "Sbjct  2371  ACAAGTCAGAGACTAAGCACCAGGCATTCATTGGATCCAATTTTGTCACATGGGAGCACG  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             || ||| |||| ||||   |  |||||||||| ||||||||||| || ||||| || || \n",
+      "\n",
+      "Sbjct  2431  TTAGGTCTATATGAGGCTTTAGTTGGAAAGCCTTATATTTGTGACATTATTACGGAATCG  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "             |||||||||||||||||  | ||||||||||| || |||||| | || || || ||||| \n",
+      "\n",
+      "Sbjct  2491  GTGGTGCATTGTTTCTTCATTGAAGCTGAAAAAATAGAGCAATTGCGCCAGTCTGATCCC  2550\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             || ||||||| |||  |||||||||||||  | ||||||||||| ||| |||| || || \n",
+      "\n",
+      "Sbjct  2551  TCCATTGAGGATTTTTTGTGGCAGGAAAGTGCTCTAGTTATTGCGAGGATTTTTCTCCCC  2610\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACT  2592\n",
+      "\n",
+      "             ||||||||||||||||||||||||| |||||| ||||| |||||| |||||||||| |||\n",
+      "\n",
+      "Sbjct  2611  CAGATATTTGAGAAAATGGCAATGCGTGAGATGAGGGTTCTCATTTCTGAAAGGTCTACT  2670\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2593  ATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCTG  2652\n",
+      "\n",
+      "             |||||| | ||||||||||| |||||||||||||| | | | | |||| |  ||||  | \n",
+      "\n",
+      "Sbjct  2671  ATGAACATCTACATTAAGGGGGAAGACATTGAACTCGGGCATAATTACGTATGCATCTTA  2730\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2653  CTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTT  2712\n",
+      "\n",
+      "             |||||||| ||| |||||||   ||  ||||   | |||||||||||||| |||||||| \n",
+      "\n",
+      "Sbjct  2731  CTGGAAGGGTTTCTGAAGAC---GAACCAAACCTTGATCACACCTCCAGCTGTGCTGCTG  2787\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2713  CCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGAC  2772\n",
+      "\n",
+      "             || || || |   | ||     ||||||| ||  | |||||||  ||||||||| | |||\n",
+      "\n",
+      "Sbjct  2788  CCGTCAAACACTGATTTGAATGTATTTGGCCTGCAGTCTTCAGTCATGAACCATATAGAC  2847\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2773  TACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAA  2832\n",
+      "\n",
+      "             |||||||||||||| || |||||||| ||||| || ||||| |||   ||||| ||||| \n",
+      "\n",
+      "Sbjct  2848  TACTGCTATACTGCACCGAGTTATCAGGTGGAAGCTAGAGCGAGGGCGATCTTATTTGAT  2907\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2833  ATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAG  2892\n",
+      "\n",
+      "             ||   ||||  | | ||||  |||   || || || ||||| ||||| ||| |||| | |\n",
+      "\n",
+      "Sbjct  2908  AT---AAGGAGTCCAGAGGCGGAGAGCGATATGCAAAGAAGTGCATCGTTGCTGTCTCCG  2964\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2893  ACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAA  2952\n",
+      "\n",
+      "             |  | || ||| || || |||| ||||||||||||||  ||| |||| || ||||||   \n",
+      "\n",
+      "Sbjct  2965  AAGCTTGGACCACCACGAACACAGAGCAAAGAGCATATCGGTTTGCTAAGGTGGCCACGG  3024\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2953  AGCTT---CCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCAC  2988\n",
+      "\n",
+      "             || ||   ||  |||||| |                     |||||||||| |||  || \n",
+      "\n",
+      "Sbjct  3025  AGTTTCCACCACAGATCCGGAGGGCCTGGAAATCCAAGCTTAGCTGAAATCGGAAAACAA  3084\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2989  CCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATGGTTGAC  3048\n",
+      "\n",
+      "             || || ||| ||||| | |||||||||||  | ||||||||||| |||||||||| ||  \n",
+      "\n",
+      "Sbjct  3085  CCTGGTAGCTTCTCTGCTAGAGCCCTGCAAGTCAGCATGTACGGCAGCATGATGGATG--  3142\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3049  ATGCACTCAGGTCAGGGC-CAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAACGC  3107\n",
+      "\n",
+      "             ||| | |  |  ||  || |||  ||| | | ||| |  |||| || | |||   |||  \n",
+      "\n",
+      "Sbjct  3143  ATGAAAT--GCACATTGCGCAGCCGCGACCGAGGCCTGATCGCGTGGAAGCA---AACCA  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3108  GAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGACAA---GCCAACACGCGGCCTCT  3164\n",
+      "\n",
+      "             || ||||||||| |||||||| |  ||||| ||||| | |    |||||||  |||||||\n",
+      "\n",
+      "Sbjct  3198  GAAGCACAGCTCATCCTATCCGAAGGTGCCCTCAAGGCCATTGTCCAACACAAGGCCTCT  3257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3165  GCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "              ||||| || | ||| |||||||  || ||||\n",
+      "\n",
+      "Sbjct  3258  ACTCTCTGTACGGTCAGAGGGTTCAAATATGA  3289\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 4e-10\n",
+      "\n",
+      " Identities = 64/77 (83%), Gaps = 0/77 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3256  GAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCC  3315\n",
+      "\n",
+      "             ||||||  |||||| ||||||||||| || ||||| ||||| || ||| |||||||||| \n",
+      "\n",
+      "Sbjct  3400  GAAGACGGCAACTCGAGCGACGAGTCCGCGGGGGAAGAAGTTATTGTCAGAGTCGACTCT  3459\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3316  CCTAGCATGCTGTCTTT  3332\n",
+      "\n",
+      "             || ||||||||  ||||\n",
+      "\n",
+      "Sbjct  3460  CCCAGCATGCTCGCTTT  3476\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">EF440291.2 Puccinellia tenuiflora Na+/H+ antiporter (NHA1) mRNA, complete \n",
+      "\n",
+      "cds\n",
+      "\n",
+      "Length=3775\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2959 bits (3281),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2689/3384 (79%), Gaps = 83/3384 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  16    CCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGCCAC  75\n",
+      "\n",
+      "             || ||||| || ||||||||  | | |||||| || ||||| || |||| ||| ||||||\n",
+      "\n",
+      "Sbjct  91    CCCGACGACGCCGTGCTCTTATTCGGGGTCTCCCTCGTGCTCGGCATCGGCTCCCGCCAC  150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  76    CTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCCCTC  135\n",
+      "\n",
+      "             || ||||| ||||||||||||||||||||||| ||||| ||| |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  151   CTCCTCCGCGGCACCCGCGTCCCCTACACCGTCGCCCTCCTCGTCCTCGGCGTCGCCCTC  210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  136   GGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATT  195\n",
+      "\n",
+      "             |||  ||| || | ||| ||    || || |||||||| || ||||| ||||| || || \n",
+      "\n",
+      "Sbjct  211   GGCAGCCTAGAGTACGGCACGAAGCACGGCCTGGGCAAGCTCGGAGCCGGCATCCGGATA  270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  196   TGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAA  255\n",
+      "\n",
+      "             |||||   |||||| || ||||||||  | || ||||| || || |||||| | ||||| \n",
+      "\n",
+      "Sbjct  271   TGGGCCGCCATAAATCCCGATCTTCTCCTCGCCGTTTTCCTCCCCGCCCTCCTCTTCGAG  330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  256   AGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTGCTT  315\n",
+      "\n",
+      "             ||||| || || |||||  | ||||| || |||| ||| ||||| ||||||||| | |||\n",
+      "\n",
+      "Sbjct  331   AGCTCCTTCTCCATGGAAGTACACCAGATTAAGAAATGCATGGCGCAGATGGTGTTACTT  390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  316   GCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTT  375\n",
+      "\n",
+      "             |||   |||||||| ||| | |||||| | || |||||| ||   |||||| ||||||||\n",
+      "\n",
+      "Sbjct  391   GCTATTCCAGGTGTGGTGCTCTCAACAGTCTTGCTTGGCTCTGCCGTAAAGCTTACTTTT  450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  376   CCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGAT  435\n",
+      "\n",
+      "             || ||||||||||||||||||  ||| || ||| |||||||||| |||||||| || |||\n",
+      "\n",
+      "Sbjct  451   CCGTACAACTGGAGCTGGAAAACATCCTTCTTGTTTGGTGGACTGCTTAGTGCGACCGAT  510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  436   CCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATA  495\n",
+      "\n",
+      "             || ||||||||||| || || |||||||| ||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  511   CCAGTTGCTGTGGTCGCGCTCCTAAAAGACCTTGGAGCAAGTAAAAAGCTCAGCACAATA  570\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  496   ATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTTTTA  555\n",
+      "\n",
+      "             ||||| || ||||| || ||||| || ||||||||||||||||||| |||  |||| |  \n",
+      "\n",
+      "Sbjct  571   ATTGAAGGAGAATCCCTGATGAATGACGGGACTGCTATTGTTGTCTGTCAGTTATTCTAT  630\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  556   CGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTT  615\n",
+      "\n",
+      "             |||||||||||||| | ||| || ||||| || || || |||||||||||     |||||\n",
+      "\n",
+      "Sbjct  631   CGAATGGTGCTCGGGACAACTTTCGATGCGGGGTCCATAATAAAGTTCTTGACACAAGTT  690\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  616   GCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGC  675\n",
+      "\n",
+      "              | ||||| |||||||||||||||||||| || ||||||| ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  691   TCACTTGGAGCTGTTGCTTTGGGCCTTGCGTTTGGAATTGCATCAGTACTATGGCTGGGC  750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  676   TTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATAGCT  735\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||| |||||||||| |||||||||||||| || \n",
+      "\n",
+      "Sbjct  751   TTTATTTTCAATGATACAATCATAGAGATTTCACTTACTCTCGCTGTCAGCTATATTGCC  810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  736   TTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGA  795\n",
+      "\n",
+      "             |||||||| || |||||| |  | ||||  ||||||||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  811   TTCTTCACAGCACAAGATGCATTCGAGGCCTCTGGTGTTTTGGCTGTCATGACTTTGGGG  870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  796   ATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACAT  855\n",
+      "\n",
+      "             ||||| ||||| |||||||||||||| ||||| |||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  871   ATGTTCTATGCTGCTTTTGCAAAAACTGCTTTTAAGGGTGACAGCCAGGAAAGTTTACAT  930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  856   CATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGGGTG  915\n",
+      "\n",
+      "             ||||| |||||||||||||||||||| ||||| || |||||||| ||| |||||||||| \n",
+      "\n",
+      "Sbjct  931   CATTTCTGGGAAATGGTTGCTTACATTGCAAACACACTTATTTTCATACTGAGTGGGGTT  990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  916   GTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCTTGG  975\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| | |||||||| ||||||||| |||| |||\n",
+      "\n",
+      "Sbjct  991   GTTATTGCAGATGGTGTACTACAAGATAATATCCATTTTGAGAGACATGGCGCTTCATGG  1050\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  976   GGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTT  1035\n",
+      "\n",
+      "             || |||| ||||||||| ||  | ||||| |||| |   || | |||||||||   ||||\n",
+      "\n",
+      "Sbjct  1051  GGGTTCCCTCTTCTGCTATACGTGTTTGTGCTAACAGGGCGTGCTGTAGTTGTCACTGTT  1110\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1036  TTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTT  1095\n",
+      "\n",
+      "             |||||||| |||||| ||| ||||||||||||| ||||| | ||||| |||| | |||||\n",
+      "\n",
+      "Sbjct  1111  TTGTATCCGTTGTTGCGTCACTTTGGGTATGGTATGGACGTCAAAGAAGCCACAGTTCTT  1170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1096  GTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGTACA  1155\n",
+      "\n",
+      "             || |||||||||||| ||||||||||||||||||| || ||  | |||||||||||| | \n",
+      "\n",
+      "Sbjct  1171  GTTTGGTCAGGGCTGCGAGGGGCTGTTGCTCTATCGCTCTCTCTGTCTGTTAAACGTGCT  1230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1156  AGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACT  1215\n",
+      "\n",
+      "             ||||| ||||  ||| || ||||| || ||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1231  AGTGACGCAGATCAACCTAATCTGAAATCAGAAGTAGGAACAATGTTTGTGTTCTTCACT  1290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1216  GGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTACAT  1275\n",
+      "\n",
+      "             |||||||| |||||||||||||||||||| |||||||| |||||||||||||| || || \n",
+      "\n",
+      "Sbjct  1291  GGTGGCATCGTGTTTCTGACATTGATTGTGAATGGTTCTACCACACAATTTTTGTTGCAC  1350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1276  ATGCTTGG-CATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGACA  1334\n",
+      "\n",
+      "              | ||||| | |||| ||||| |||||||||||| ||||  ||||||| ||||||||| |\n",
+      "\n",
+      "Sbjct  1351  CTACTTGGTCTTGGA-AAACTATCAGCAACAAAGCTTCGTGTATTGAAGTATACAAGATA  1409\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1335  TGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGG  1394\n",
+      "\n",
+      "             ||||||||| ||||| |||  ||||||||||||||| || ||||||||||| || |||||\n",
+      "\n",
+      "Sbjct  1410  TGAAATGCTAAACAAGGCAAAAGAGGCTTTTGGTGATCTCAGGGATGATGAGGAACTTGG  1469\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1395  ACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGATGA  1454\n",
+      "\n",
+      "              |||||||||||| ||||||| ||||||||||| ||||||||| || ||||||| |||||\n",
+      "\n",
+      "Sbjct  1470  GCCTGCTGATTGGATTACTGTGAAGAAATATATAACATGTTTGAATAACTTGGAAGATGA  1529\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1455  ACCAGAGCATCCCCATGA---CATTGACAAGGATAGCCGCATGCATACCATGAACCTAAG  1511\n",
+      "\n",
+      "             || ||  ||||| |||||      |||||| |||    |  | |||||||||||| | ||\n",
+      "\n",
+      "Sbjct  1530  ACAAGCACATCCTCATGATGCTCCTGACAAAGATGAAAGTGTTCATACCATGAACTTGAG  1589\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1512  GGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGA  1571\n",
+      "\n",
+      "             |||||  ||||| || ||| ||||||||||||| || || || |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1590  GGATACTCGAGTGCGTCTTTTGAATGGTGTACAGGCCGCTTACTGGGGAATGCTTGAAGA  1649\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1572  GGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGA  1631\n",
+      "\n",
+      "             |||||| ||||||||||| |||||||||||| | |||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1650  GGGACGGATAACTCAAGCCACAGCAAATATTTTAATGAGATCAGTTGATGAAGCTATGGA  1709\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1632  CCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCC  1691\n",
+      "\n",
+      "              ||| | || |  ||| | ||||| |||||| ||||||| |  |||||||| ||  ||||\n",
+      "\n",
+      "Sbjct  1710  TCTTGTTTCTACCCAATCATTATGCGATTGGAAGGGTTTGCGGTCCAATGTTCATCTCCC  1769\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1692  GAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCAC  1751\n",
+      "\n",
+      "              || |||||||| ||||| |||||||||||||||||||||| | |  | || ||||||||\n",
+      "\n",
+      "Sbjct  1770  AAAGTACTATAGGTTCCTTCAGATGAGCAGGTTGCCACGAAGGGTTGTTACTTACTTCAC  1829\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1752  AGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAAC  1811\n",
+      "\n",
+      "             ||||||||||||||||| |||||| ||||| | ||||||||||||||||||||| |||| \n",
+      "\n",
+      "Sbjct  1830  AGTAGAAAGATTGGAGTTAGGATGCTACATCTGTGCTGCATTTCTTCGTGCTCATAGAAT  1889\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1812  TGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGA  1871\n",
+      "\n",
+      "             ||| ||| |||| || |||||||||||||||||||||||| ||| ||||| ||| |||||\n",
+      "\n",
+      "Sbjct  1890  TGCGAGGAGACAACTACATGATTTTCTTGGTGATAGTGAGATTGCAAGAATTGTCATTGA  1949\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1872  TGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTT  1931\n",
+      "\n",
+      "             |||||||| ||||| |||||||||||||||||| || ||||||||||| ||| |||| ||\n",
+      "\n",
+      "Sbjct  1950  TGAAAGTACTGCTGCGGGGGAGGAAGCTAAAAAGTTCCTGGAAGATGTCCGTCTTACATT  2009\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1932  CCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCT  1991\n",
+      "\n",
+      "             ||| |||||||| | ||   ||||| | ||||| || |||||| ||||||||||||||||\n",
+      "\n",
+      "Sbjct  2010  CCCTCAGGTGCTTCTTGCATTAAAGACTCGACAAGTAACATATGCAGTATTGACACACCT  2069\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1992  GAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCA  2051\n",
+      "\n",
+      "             ||| |||||||||||| ||||    ||||| |||||||| ||||||||||||||| | ||\n",
+      "\n",
+      "Sbjct  2070  GAGCGAGTATATTCAAGACCTTGGAAAGACTGGGTTGCTCGAGGAAAAGGAAATGGTCCA  2129\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2052  TTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAA  2111\n",
+      "\n",
+      "             | | ||||||||||||||||||||||| | |||  | || |||||||||||  |||||||\n",
+      "\n",
+      "Sbjct  2130  TCTTGATGATGCTTTGCAGACAGACTTGAGGAAGCTTAAGAGGAATCCACCACTGGTGAA  2189\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2112  AATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGT  2171\n",
+      "\n",
+      "             ||||||||||| | | ||  ||||||| || ||||||||||| ||||| |||||||||| \n",
+      "\n",
+      "Sbjct  2190  AATGCCAAGAGCTAGCGAAATTTTAAATACTCATCCTTTAGTTGGTGCGCTGCCTGCTGC  2249\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2172  CACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCT  2231\n",
+      "\n",
+      "                 || ||||| || |||||||||||| |||||||  ||  ||  ||||| || || ||\n",
+      "\n",
+      "Sbjct  2250  TGTTCGGGATCCATTGTTAAGTAATACAGAAGAAACAATAAAAGTACATGGAACAATCCT  2309\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2232  TTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTG  2291\n",
+      "\n",
+      "             |||||  |||||||||||||| |||||| ||||||||||||| |  ||  |||| |||||\n",
+      "\n",
+      "Sbjct  2310  TTATAGTGAAGGCTCAAGGCCGACTGGTATATGGCTTGTTTCGACTGGAATAGTAAAGTG  2369\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2292  GGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACAC  2351\n",
+      "\n",
+      "             | ||||||||||| ||||||  |||||||| |||||||||||||| ||||| || |  ||\n",
+      "\n",
+      "Sbjct  2370  GACAAGTCAGAGATTAAGCACGAGGCATTCATTGGATCCAATTTTGTCACATGGGAGTAC  2429\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2352  TTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTC  2411\n",
+      "\n",
+      "              || ||| | || ||||   |  |||||||||| ||||||||||| || ||||| || ||\n",
+      "\n",
+      "Sbjct  2430  CTTAGGTCTGTATGAGGCTTTAGTTGGAAAGCCTTATATTTGTGACATTATTACGGAATC  2489\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2412  TGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCC  2471\n",
+      "\n",
+      "              |||||||||||||||||  | ||||||||||  || |||||| | || || || |||||\n",
+      "\n",
+      "Sbjct  2490  CGTGGTGCATTGTTTCTTCATTGAAGCTGAAACAATAGAGCAATTGCGCCAGTCTGATCC  2549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2472  TTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCC  2531\n",
+      "\n",
+      "              || ||||||| |||  |||||||||||||  | ||||||||||| ||| |||| || ||\n",
+      "\n",
+      "Sbjct  2550  ATCCATTGAGGATTTTTTGTGGCAGGAAAGTGCTCTAGTTATTGCGAGGATTTTTCTCCC  2609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2532  TCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGAC  2591\n",
+      "\n",
+      "             ||||||||||||||||||||||||||  ||||| ||||| |||||| ||||||| || ||\n",
+      "\n",
+      "Sbjct  2610  TCAGATATTTGAGAAAATGGCAATGCGCGAGATGAGGGTTCTCATTTCTGAAAGATCTAC  2669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2592  TATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTCT  2651\n",
+      "\n",
+      "             ||||||| | ||||||||||| |||||||| ||||| | |   | |||| |  ||||  |\n",
+      "\n",
+      "Sbjct  2670  TATGAACATCTACATTAAGGGGGAAGACATCGAACTCGGGCCTAATTACGTATGCATCTT  2729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2652  GCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCT  2711\n",
+      "\n",
+      "              |||||||| ||| || ||   | ||  ||||   | |||||||||||||| |||||| |\n",
+      "\n",
+      "Sbjct  2730  ACTGGAAGGGTTTCTGCAG---ATGAACCAAACCTTGATCACACCTCCAGCTGTGCTGTT  2786\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2712  TCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGA  2771\n",
+      "\n",
+      "              || || || |   | ||     ||||||| ||  | |||||||| ||||||||| | ||\n",
+      "\n",
+      "Sbjct  2787  GCCGTCAAACACTGATTTGAATGTATTTGGCCTACAGTCTTCAGCCATGAACCATATAGA  2846\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2772  CTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGA  2831\n",
+      "\n",
+      "             ||||||||||||||| || |||||||| |||   || ||||| |||   ||||| |||||\n",
+      "\n",
+      "Sbjct  2847  CTACTGCTATACTGCACCGAGTTATCAGGTGACAGCTAGAGCGAGGGCGATCTTATTTGA  2906\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2832  AATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCA  2891\n",
+      "\n",
+      "              ||| | |||    | |||| ||||   ||  | || ||||| ||||||||| |||| | \n",
+      "\n",
+      "Sbjct  2907  TATAAGGAGG---CCAGAGGCAGAGAGCGATCTGCAAAGAAGTGCATCTTTGCTGTCTCC  2963\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2892  GACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGA  2951\n",
+      "\n",
+      "             || || || ||| || || |||| ||||||||||||||  ||| |||| || |||||| |\n",
+      "\n",
+      "Sbjct  2964  GAACCTTGGACCACCACGAACACAGAGCAAAGAGCATATCGGTTTGCTAAGGTGGCCACA  3023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2952  AAGCTT---CCGAAGATCCCG---------------------AGCTGAAATCAGAAGCCA  2987\n",
+      "\n",
+      "              || ||   ||  |||||| |                     |||||||||| |||  ||\n",
+      "\n",
+      "Sbjct  3024  GAGTTTCCACCACAGATCCAGAGGGCCTGGAAATCCAAGCTTAGCTGAAATCGGAAAACA  3083\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2988  CCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCATGATG---GT  3044\n",
+      "\n",
+      "              || || ||| ||||| | || ||||||||  | ||||||||||| | |||||||   | \n",
+      "\n",
+      "Sbjct  3084  ACCTGGTAGCTTCTCTGCTAGCGCCCTGCAAGTCAGCATGTACGGCACCATGATGGATGA  3143\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3045  TGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCATGCAGGCAACCAA  3104\n",
+      "\n",
+      "             ||| |||||| | |  ||  |||    ||| | | ||| |  |||| || | |||   ||\n",
+      "\n",
+      "Sbjct  3144  TGAAATGCACACTGCGCA--GCC----GCGACCGAGGCCTGATCGCGTGGAAGCA---AA  3194\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3105  CGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAG---ACAAGCCAACACGCGGCC  3161\n",
+      "\n",
+      "             |  || ||||||| |||||||||| |  ||||| |||||   |    ||||||| |||||\n",
+      "\n",
+      "Sbjct  3195  CCAGAAGCACAGCGCGTCCTATCCGAAGGTGCCCTCAAGGTCATTGTCCAACACACGGCC  3254\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3162  TCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATG----AAC--AGGTTGCCTGCTTCTCC  3215\n",
+      "\n",
+      "             ||| ||||| || |  ||||||||||  || |||    |||  | ||   || || ||||\n",
+      "\n",
+      "Sbjct  3255  TCTACTCTCTGTGCGATCGGAGGGTTCAAATATGATGAAACGAAAGTCTGCTCCTGCTCC  3314\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3216  TACAC---CGCCTGC-----------TCCAGCTCCGGTAAG---------ATCTGAGGG-  3251\n",
+      "\n",
+      "             | |||   |||||||           | | || || |  ||         | |  |||| \n",
+      "\n",
+      "Sbjct  3315  TGCACATGCGCCTGCCCTCGACCCTTTTCCGCCCCTGGCAGGAGGCCGGCACCACAGGGC  3374\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3252  GAT---GGAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGT  3308\n",
+      "\n",
+      "             |||    |||| | ||  ||| ||||| ||||| || ||||| |||||||| ||| ||||\n",
+      "\n",
+      "Sbjct  3375  GATAACAGAAGGCGACCTCTCGAGCGATGAGTCCGCGGGGGAAGAAGTCATTGTCAGAGT  3434\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3309  CGACTCCCCTAGCATGCTGTCTTT  3332\n",
+      "\n",
+      "             |||||| || ||||||||  ||||\n",
+      "\n",
+      "Sbjct  3435  CGACTCTCCCAGCATGCTCGCTTT  3458\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AY987046.1 Lolium perenne SOS1 mRNA, partial cds\n",
+      "\n",
+      "Length=3562\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2908 bits (3224),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2576/3207 (80%), Gaps = 50/3207 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  160   CATGGTCTGGGCAAACTTGGAGCTGGCATTCGTATTTGGGCTAACATAAACCCTGATCTT  219\n",
+      "\n",
+      "             || || || ||||| || ||||||||||| ||||| ||||||  ||| || |||||||||\n",
+      "\n",
+      "Sbjct  118   CACGGCCTAGGCAAGCTCGGAGCTGGCATCCGTATATGGGCTGGCATTAATCCTGATCTT  177\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  220   CTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTCGAAAGCTCGTTTTCAATGGAGATTCAC  279\n",
+      "\n",
+      "             || ||||| ||||| || || |||||  | ||||| ||||| || || |||||  | |||\n",
+      "\n",
+      "Sbjct  178   CTCTTGGCGGTTTTCCTCCCCGCCCTTCTCTTCGAGAGCTCATTCTCGATGGAAGTACAC  237\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  280   CAAATCAAGAGATGTATGGCACAGATGGTGCTGCTTGCTGGACCAGGTGTCGTGATATCA  339\n",
+      "\n",
+      "             || || |||| ||| ||||| ||||||||| | || ||||  |||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  238   CAGATAAAGAAATGCATGGCCCAGATGGTGTTACTGGCTGTTCCAGGTGTGGTGATCTCA  297\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  340   ACAATTTTACTTGGCACTCTTGTAAAGGTTACTTTTCCATACAACTGGAGCTGGAAAGTA  399\n",
+      "\n",
+      "             ||  || | ||||| |||  ||||||| |||||||||||||| | |||| |||||||  |\n",
+      "\n",
+      "Sbjct  298   ACGGTTCTGCTTGGAACTGCTGTAAAGCTTACTTTTCCATACGATTGGAACTGGAAAACA  357\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  400   TCATTGTTGCTTGGTGGACTTCTTAGTGCAACTGATCCTGTTGCTGTGGTTGCACTGCTA  459\n",
+      "\n",
+      "             || || ||| || | ||||| |||||||| || |||||||| |||||||||||||| |||\n",
+      "\n",
+      "Sbjct  358   TCCTTCTTGTTTAGCGGACTGCTTAGTGCGACCGATCCTGTCGCTGTGGTTGCACTCCTA  417\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  460   AAAGAACTTGGAGCAAGTAAAAAGCTCAGTACAATAATTGAGGGTGAATCGCTAATGAAC  519\n",
+      "\n",
+      "             ||||| || ||||| |||||||||||||| ||||||||||| || |||||  ||||||| \n",
+      "\n",
+      "Sbjct  418   AAAGACCTCGGAGCGAGTAAAAAGCTCAGCACAATAATTGAAGGAGAATCTTTAATGAAT  477\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  520   GATGGGACTGCTATTGTTGTCTATCAACTATTTTTACGAATGGTGCTCGGAAGAACCTTT  579\n",
+      "\n",
+      "             || |||||||||||||| ||||||||  | || |  |||||||||||||| | ||| || \n",
+      "\n",
+      "Sbjct  478   GACGGGACTGCTATTGTCGTCTATCAGTTGTTCTATCGAATGGTGCTCGGGACAACTTTC  537\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  580   GATGCTGGCTCAATGATAAAGTTCTTATTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGC  639\n",
+      "\n",
+      "             ||||| ||||| || ||||||||||| |  |||||| | ||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  538   GATGCAGGCTCCATAATAAAGTTCTTGTCAGAAGTTTCACTTGGAGCTGTTGCTTTGGGC  597\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  640   CTTGCATTCGGAATTGTATCAGTACTGTGGCTGGGCTTTATTTTTAATGATACAATCATA  699\n",
+      "\n",
+      "             |||||||| |||||||  |||||||| ||||||||||||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  598   CTTGCATTTGGAATTGCTTCAGTACTATGGCTGGGCTTTATTTTCAATGATACGATCATA  657\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  700   GAGATTGCACTTACTCTTGCTGTCAGCTATATAGCTTTCTTCACTGCCCAAGATTCGCTG  759\n",
+      "\n",
+      "             |||||| |||||||||| |||||||||||||| |||||||||||||| || ||| |  ||\n",
+      "\n",
+      "Sbjct  658   GAGATTTCACTTACTCTCGCTGTCAGCTATATTGCTTTCTTCACTGCGCAGGATGCATTG  717\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  760   GAGGTTTCTGGTGTTTTGGCTGTCATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAA  819\n",
+      "\n",
+      "             ||||| |||||||||||||| |||||||| ||||| ||||| ||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  718   GAGGTCTCTGGTGTTTTGGCCGTCATGACCTTGGGGATGTTCTATGCTGCTTTTGCAAAA  777\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  820   ACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTAC  879\n",
+      "\n",
+      "             || ||||| ||||| || ||||| ||||||||||||||||| ||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  778   ACTGCTTTTAAGGGAGACAGCCAAGAAAGTTTACATCATTTCTGGGAAATGATTGCTTAC  837\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  880   ATCGCAAATACCCTTATTTTTATATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAA  939\n",
+      "\n",
+      "             || ||||| || |||||||| ||| |||| ||||| ||||||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  838   ATTGCAAACACACTTATTTTCATACTGAGCGGGGTTGTTATTGCAGATGGTGTACTACAG  897\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  940   AATAATGTTCATTTTGAAAGACATGGCACTTCTTGGGGTTTCCTTCTTCTGCTTTATATC  999\n",
+      "\n",
+      "              ||||| | || ||||| ||||||||  |||| ||||| |||||||||||||| ||| | \n",
+      "\n",
+      "Sbjct  898   GATAATATCCACTTTGAGAGACATGGTGCTTCCTGGGGGTTCCTTCTTCTGCTCTATGTG  957\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1000  TTTGTTCTAATATCCCGAGTTGTAGTTGTTGGTGTTTTGTATCCATTGTTGTGTCGCTTT  1059\n",
+      "\n",
+      "             ||||| | | |||| || | |||||||||   ||||||||||||||||||| ||| ||||\n",
+      "\n",
+      "Sbjct  958   TTTGTGCAACTATCGCGGGCTGTAGTTGTCATTGTTTTGTATCCATTGTTGCGTCACTTT  1017\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1060  GGGTATGGTTTGGACTTGAAAGAGGCCATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCT  1119\n",
+      "\n",
+      "             ||||||||| ||||| | ||| | |||| | ||||||| |||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  1018  GGGTATGGTATGGACGTCAAAAAAGCCACAGTTCTTGTTTGGTCAGGGCTGCGAGGGGCT  1077\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1120  GTTGCTCTATCACTATCATTATCTGTTAAACGTACAAGTGATGCAGTCCAAACTTATCTG  1179\n",
+      "\n",
+      "             |||||||||||||| ||  | |||||||||||| | ||||||||||| |||  |||||||\n",
+      "\n",
+      "Sbjct  1078  GTTGCTCTATCACTCTCTCTGTCTGTTAAACGTGCTAGTGATGCAGTTCAACTTTATCTG  1137\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1180  GAACCAGAAGTTGGAACAATGTTTGTGTTCTTCACTGGTGGCATTGTGTTTCTGACATTG  1239\n",
+      "\n",
+      "              |||||||||| |||||||||||||||||||||||||||||||| || ||||||||||||\n",
+      "\n",
+      "Sbjct  1138  AAACCAGAAGTCGGAACAATGTTTGTGTTCTTCACTGGTGGCATCGTCTTTCTGACATTG  1197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1240  ATTGTAAATGGTTCAACCACACAATTTTTCTTACATATGCTTGGCATGGACAAACTGTCA  1299\n",
+      "\n",
+      "             ||||| |||||||| || ||||||||||| || ||  | |||||  |||  ||||| |||\n",
+      "\n",
+      "Sbjct  1198  ATTGTGAATGGTTCTACGACACAATTTTTGTTGCACCTACTTGGTCTGGGGAAACTTTCA  1257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1300  GCAACAAAGGTTCGGATATTGAAATATACAAGACATGAAATGCTGAACAAAGCATTAGAG  1359\n",
+      "\n",
+      "             ||||| ||| ||||  ||||||| ||||||||| |||||||||| ||||| |||||||||\n",
+      "\n",
+      "Sbjct  1258  GCAACGAAGCTTCGTGTATTGAAGTATACAAGATATGAAATGCTAAACAAGGCATTAGAG  1317\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1360  GCTTTTGGTGAGCTTAGGGATGATGAAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAG  1419\n",
+      "\n",
+      "             ||||||||||| || ||||||||||| || ||||| |||||||||||| ||||||| |||\n",
+      "\n",
+      "Sbjct  1318  GCTTTTGGTGATCTCAGGGATGATGAGGAACTTGGGCCTGCTGATTGGATTACTGTGAAG  1377\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1420  AAATATATTACATGTTTGCATGACTTGGATGATGAACCAGAGCATCCCCATGACAT---T  1476\n",
+      "\n",
+      "             |||||||| ||||||||| || ||||||| ||||||| ||  ||||| |||||  |   |\n",
+      "\n",
+      "Sbjct  1378  AAATATATCACATGTTTGAATAACTTGGAAGATGAACAAGCACATCCTCATGATGTTCCT  1437\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1477  GACAAGGATAGCCGCATGCATACCATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAAT  1536\n",
+      "\n",
+      "             ||||| |||    || |||||||||||||  | | |||||  ||||| || ||| |||||\n",
+      "\n",
+      "Sbjct  1438  GACAAAGATGAAAGCGTGCATACCATGAATTTGAAGGATACTCGAGTGCGCCTTTTGAAT  1497\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1537  GGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCA  1596\n",
+      "\n",
+      "             |||||||||||||| || ||||||||||||||||||||||| ||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  1498  GGTGTACAAGCTGCTTACTGGGGAATGCTTGAAGAGGGACGGATAACTCAATCCACAGCA  1557\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1597  AATATTCTGATGAGATCTGTTGATGAAGCTATGGACCTTATCTCCAGACAACCCTTATGT  1656\n",
+      "\n",
+      "             |||||| | |||||||| ||||||||||||||||| ||| | ||  | ||| | ||||| \n",
+      "\n",
+      "Sbjct  1558  AATATTTTAATGAGATCAGTTGATGAAGCTATGGATCTTGTTTCTGGCCAATCATTATGC  1617\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1657  GATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCGAATTACTATAGATTCCTCCAGATG  1716\n",
+      "\n",
+      "             |||||| ||||||| |  |||||||| || ||||||||||||||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  1618  GATTGGAAGGGTTTGCGGTCCAATGTTCATTTCCCGAATTACTATAGGTTCCTTCAGATG  1677\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1717  AGCAGGTTGCCACGAAAGCTCATCACATACTTCACAGTAGAAAGATTGGAGTCAGGATGT  1776\n",
+      "\n",
+      "             ||||| ||||||||||  ||  | |||||||||||||||||||||||| ||| |||||||\n",
+      "\n",
+      "Sbjct  1678  AGCAGATTGCCACGAAGACTTGTTACATACTTCACAGTAGAAAGATTGCAGTTAGGATGT  1737\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1777  TACATATCTGCTGCATTTCTTCGTGCTCACAGAACTGCAAGGCGACAGCTGCATGATTTT  1836\n",
+      "\n",
+      "             ||||| | |||||||||||||||||||||  ||| ||||||| |||| || |||||||||\n",
+      "\n",
+      "Sbjct  1738  TACATCTGTGCTGCATTTCTTCGTGCTCATCGAATTGCAAGGAGACAACTACATGATTTT  1797\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1837  CTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAA  1896\n",
+      "\n",
+      "             ||||||||||||||||||| ||||| |||  |||||||||||| ||||| ||||||||||\n",
+      "\n",
+      "Sbjct  1798  CTTGGTGATAGTGAGGTTGCAAGAATTGTCGTTGATGAAAGTACTGCTGCGGGGGAGGAA  1857\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1897  GCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAG  1956\n",
+      "\n",
+      "             ||||||||||||||||||||||| ||||||||  |||| |||||||| ||||   |||||\n",
+      "\n",
+      "Sbjct  1858  GCTAAAAAATTTCTGGAAGATGTCCGTGTTACACTCCCTCAGGTGCTCCGTGCATTAAAG  1917\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1957  GCCCGACAGGTCACATATTCAGTATTGACACACCTGAGTGAGTATATTCAAAACCTCCAG  2016\n",
+      "\n",
+      "              | ||||| || |||||| ||||||||||||||||||| |||||||||||| ||||    \n",
+      "\n",
+      "Sbjct  1918  ACTCGACAAGTAACATATGCAGTATTGACACACCTGAGCGAGTATATTCAAGACCTTGGA  1977\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2017  AAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCATTTAGATGATGCTTTGCAGACAGAC  2076\n",
+      "\n",
+      "             ||||| |||||||| |||||||||||||||   ||| | |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1978  AAGACTGGGTTGCTTGAGGAAAAGGAAATGGCCCATCTCGATGATGCTTTGCAGACAGAC  2037\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2077  TTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTA  2136\n",
+      "\n",
+      "             || |||||  | ||||||||||||||  |||||||||||||||||||| | || ||||| \n",
+      "\n",
+      "Sbjct  2038  TTGAAGAAGCTTAAAAGGAATCCACCACTGGTGAAAATGCCAAGAGTTAGCGAACTTTTG  2097\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2137  AACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAAT  2196\n",
+      "\n",
+      "             ||||| ||||||||||| ||||||||||||||||     |||||||| || | |||||||\n",
+      "\n",
+      "Sbjct  2098  AACACTCATCCTTTAGTTGGTGCACTGCCTGCTGCTGTTCGTGATCCGTTGTCAAGTAAT  2157\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2197  ACAAAAGAAACTGTACGAGGGCATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACT  2256\n",
+      "\n",
+      "             |||||||||||  ||  ||  || || ||  | ||||||| ||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  2158  ACAAAAGAAACAATAAAAGTACACGGAACAGTCCTTTATACGGAAGGCTCCAGGCCGACT  2217\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2257  GGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGG  2316\n",
+      "\n",
+      "             ||| ||||||||||||| |  ||  |||| |||||| |||||||||||||||||| ||| \n",
+      "\n",
+      "Sbjct  2218  GGTATATGGCTTGTTTCGACTGGAATAGTAAAGTGGACAAGTCAGAGACTAAGCACCAGA  2277\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2317  CATTCCTTGGATCCAATTTTATCACACGGAAACACTTTGGGTTTATACGAGGTGCTGATT  2376\n",
+      "\n",
+      "             ||||| |||||||||||||| ||||| || | ||| |||||| |||| ||||   |  ||\n",
+      "\n",
+      "Sbjct  2278  CATTCATTGGATCCAATTTTCTCACATGGGAGCACGTTGGGTCTATATGAGGCTTTAGTT  2337\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2377  GGAAAGCCATATATTTGTGATATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAA  2436\n",
+      "\n",
+      "             |||||||| ||||||||||| || |||||||| || |||||||||||||||||  | |||\n",
+      "\n",
+      "Sbjct  2338  GGAAAGCCTTATATTTGTGACATTATTACAGAATCGGTGGTGCATTGTTTCTTCATTGAA  2397\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2437  GCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAG  2496\n",
+      "\n",
+      "             || ||||| ||||| ||| | || || || ||||| || ||||||| |||  ||||||||\n",
+      "\n",
+      "Sbjct  2398  GCAGAAAAAATTGAACAATTGCGCCAGTCTGATCCCTCCATTGAGGATTTTATGTGGCAG  2457\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2497  GAAAGCTCCCTAGTTATTGCCAGG-CTTTTACTTCCTCAGATATTTGAGAAAATGGCAAT  2555\n",
+      "\n",
+      "             |||||  | ||||| ||||| |||  |||| || ||||||||| ||||||||||||||||\n",
+      "\n",
+      "Sbjct  2458  GAAAGTGCTCTAGTCATTGCGAGGATTTTTTCTCCCTCAGATA-TTGAGAAAATGGCAAT  2516\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2556  GCATGAGATCAGGGTCCTCATTGCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGA  2615\n",
+      "\n",
+      "             ||||||||| ||||| |||||| ||||||| || |   ||||| | ||||||||||| ||\n",
+      "\n",
+      "Sbjct  2517  GCATGAGATGAGGGTTCTCATTTCTGAAAGATCTATGTTGAACATCTACATTAAGGGGGA  2576\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2616  AGACATTGAACTGGAGTACAGTTACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAA  2675\n",
+      "\n",
+      "             |||||||||||  |   | | |||| | |||||  | || ||||||||| ||||||  ||\n",
+      "\n",
+      "Sbjct  2577  AGACATTGAACCCGGTCATAATTACGTAGGCATCTTACTAGAAGGATTTCTGAAGATGAA  2636\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2676  GAGTCAAAATCTCATCACACCTCCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCT  2735\n",
+      "\n",
+      "              |   |  || | |||||||||||||| |||||||| || || || |   | ||     |\n",
+      "\n",
+      "Sbjct  2637  CA---ACCATTTGATCACACCTCCAGCCGTGCTGCTGCCGTCAAACACTGATTTGAATGT  2693\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2736  ATTTGGTCTTGAATCTTCAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTA  2795\n",
+      "\n",
+      "             |||||| ||  | |||||||  ||||||||| | ||||| |||||||||||  |||||||\n",
+      "\n",
+      "Sbjct  2694  ATTTGGCCTGCAGTCTTCAGTCATGAACCATATAGACTATTGCTATACTGCAACCAGTTA  2753\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2796  TCAAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGA  2855\n",
+      "\n",
+      "             ||| ||||| || ||||| |||  |||||| ||||||||| | |||    | |||| |||\n",
+      "\n",
+      "Sbjct  2754  TCAGGTGGAAGCCAGAGCGAGGGCTATCTTATTTGAAATACGGAGG---CCAGAGGCAGA  2810\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2856  GGCTGACATCCAGAGAAGCGCATCTTTGTTGTCCCAGACCCATGAACCTCCTCGGACACT  2915\n",
+      "\n",
+      "             |   ||  | || ||||| ||||| ||| |||| |  ||||  |  ||  | || || | \n",
+      "\n",
+      "Sbjct  2811  GAGCGATCTGCAAAGAAGTGCATCGTTGCTGTCTCCAACCCTCGGGCCATCACGAACGCA  2870\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2916  GAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTTCCGAAGATCCCGAG---C  2972\n",
+      "\n",
+      "             |||||||||||||   |||||| | || ||||| || || ||||| || ||| |||   |\n",
+      "\n",
+      "Sbjct  2871  GAGCAAAGAGCATGTCGGTCTGGTAAGGTGGCCGGAGAGTTTCCGGAGGTCCAGAGGGCC  2930\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2973  TGAAATCAGAAGC--------CACCCG-GGC---AGCCTCTCTACAAGAGCCCTGCAGCT  3020\n",
+      "\n",
+      "             || || |  ||||         | | |  ||   ||| ||||| | |||||||||||  |\n",
+      "\n",
+      "Sbjct  2931  TGGAAACCCAAGCTTGGTTGATATCGGAAGCCAGAGCTTCTCTGCTAGAGCCCTGCAAGT  2990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3021  GAGCATGTACGGAAGCATGATGGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCG  3080\n",
+      "\n",
+      "              |||||||| || |||||||||| ||| |||||| | | |      ||| | || ||  |\n",
+      "\n",
+      "Sbjct  2991  CAGCATGTATGGCAGCATGATGGATGATATGCACCCTGCT------CAGCGTCGACAAAG  3044\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3081  GCATCGTCGCATGCAGGCAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTC  3140\n",
+      "\n",
+      "             || || ||   || | |||   |||  |  ||||||| |||||||||| |  ||||||||\n",
+      "\n",
+      "Sbjct  3045  GCCTCATCCTGTGAAAGCA---AACCAGGAGCACAGCGCGTCCTATCCAAAGGTGCCTTC  3101\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3141  AA--GACAAG-CCAACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAA---CAT  3194\n",
+      "\n",
+      "             ||  |  | | ||||| ||||||||||||| ||||| ||||| ||||||| |||    ||\n",
+      "\n",
+      "Sbjct  3102  AAGGGTGATGTCCAACTCGCGGCCTCTGCTATCCGTGCAGTCAGAGGGTTCCAATCTGAT  3161\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3195  GAACAGGTTGCCTGCTTCTCCTACACCGCCTGCTC-----CAGCTCCGGTAAGATCTGAG  3249\n",
+      "\n",
+      "             ||||||   | ||||| || || |  |   |||||     | || |||     | |  ||\n",
+      "\n",
+      "Sbjct  3162  GAACAGAAAGTCTGCTCCTGCTCCTGCCATTGCTCCTTTTCCGCCCCGCCGGCAACGCAG  3221\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3250  GG-GAT---GGAAGACAACAACTCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCG  3305\n",
+      "\n",
+      "             ||  ||   ||||||  ||||||||||||||||||| |  |  || ||  | || ||  |\n",
+      "\n",
+      "Sbjct  3222  GGCCATAGCGGAAGAAGACAACTCAAGCGACGAGTCCGTGGAAGAAGAGATTATTGTTAG  3281\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3306  AGTCGACTCCCCTAGCATGCTGTCTTT  3332\n",
+      "\n",
+      "             ||| ||||| || |||||| |  ||||\n",
+      "\n",
+      "Sbjct  3282  AGTGGACTCTCCCAGCATGTTCACTTT  3308\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">FJ865581.1 Distichlis spicata plasma membrane Na+/H+ antiporter (SOS1-1) \n",
+      "\n",
+      "mRNA, complete cds\n",
+      "\n",
+      "Length=3835\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2851 bits (3161),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2589/3258 (79%), Gaps = 75/3258 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7     GAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCC  66\n",
+      "\n",
+      "             ||||| || || || || |||||| ||||||| |  ||||| ||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  256   GAGCCAGAGCCAGATGACGCGGTGATCTTCGTCGGCGTCTCCCTGGTACTGGGCATCGCC  315\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  67    TCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGC  126\n",
+      "\n",
+      "             || || ||||||||||| ||||||||||| |||||||| || ||||| ||  || | |||\n",
+      "\n",
+      "Sbjct  316   TCCCGACACCTGCTCCGCGGCACCCGCGTGCCCTACACTGTCGCCCTGCTTGTCGTGGGC  375\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  127   GTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGC  186\n",
+      "\n",
+      "             || || || |||||||||||||  |||||    ||   | | |||||||||||| | |||\n",
+      "\n",
+      "Sbjct  376   GTCGCACTTGGCTCCCTCGAATATGGAACGAAGCACAATTTAGGCAAACTTGGAACGGGC  435\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  187   ATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTC  246\n",
+      "\n",
+      "             |||||||| |||||||||||||| ||||||||||| ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  436   ATTCGTATCTGGGCTAACATAAATCCTGATCTTCTTTTGGCTGTTTTTCTACCGGCCCTC  495\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  247   TTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATG  306\n",
+      "\n",
+      "             |||||||||||| | ||||||||||| ||||||||||| |||||||| |||||||| |||\n",
+      "\n",
+      "Sbjct  496   TTGTTCGAAAGCGCATTTTCAATGGAAATTCACCAAATAAAGAGATGCATGGCACAAATG  555\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  307   GTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAG  366\n",
+      "\n",
+      "              || | ||||| ||||| ||||| || || |||||  ||||||||||||    ||| |||\n",
+      "\n",
+      "Sbjct  556   ATGTTACTTGCAGGACCGGGTGTGGTAATGTCAACGGTTTTACTTGGCATGGCTGTCAAG  615\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  367   GTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGT  426\n",
+      "\n",
+      "              |  ||||||| ||||| |||   ||||||  ||| ||| ||||||| ||||| ||||| \n",
+      "\n",
+      "Sbjct  616   CTCGCTTTTCCGTACAAATGGGATTGGAAAACATCTTTGCTGCTTGGAGGACTGCTTAGC  675\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  427   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTC  486\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||| ||||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  676   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTTAAAGAACTTGGAGCAAGCAAAAAACTC  735\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  487   AGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAA  546\n",
+      "\n",
+      "             |||||||| |||||||| || ||  ||||||| ||||||||||| || ||||||||||| \n",
+      "\n",
+      "Sbjct  736   AGTACAATCATTGAGGGCGAGTCATTAATGAATGATGGGACTGCGATCGTTGTCTATCAG  795\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  547   CTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTA  606\n",
+      "\n",
+      "              | || |  |||||||| || |||||||||||| |||| |||  | | ||||| ||||| \n",
+      "\n",
+      "Sbjct  796   TTGTTCTATCGAATGGTACTTGGAAGAACCTTTAATGCGGGCCAAGTTATAAAATTCTTG  855\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  607   TTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTG  666\n",
+      "\n",
+      "                |||||| | ||||| ||||||||  | || |||||||| ||||||| |||||| |||\n",
+      "\n",
+      "Sbjct  856   ACAGAAGTTTCACTTGGAGCTGTTGCACTCGGACTTGCATTTGGAATTGCATCAGTGCTG  915\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  667   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGC  726\n",
+      "\n",
+      "             ||||||||||||||||| ||||||||||| |||||||| ||||| ||  ||||||| |||\n",
+      "\n",
+      "Sbjct  916   TGGCTGGGCTTTATTTTCAATGATACAATTATAGAGATAGCACTAACAGTTGCTGTTAGC  975\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  727   TATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATG  786\n",
+      "\n",
+      "             ||||| |||||||| || || ||||| ||||| || || |||||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  976   TATATTGCTTTCTTTACAGCACAAGACTCGCTAGAAGTCTCTGGTGTTTTGACGGTCATG  1035\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  787   ACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAA  846\n",
+      "\n",
+      "             ||  | ||||||||||||||||| |||||||||||||| || || ||||| || |||  |\n",
+      "\n",
+      "Sbjct  1036  ACACTTGGAATGTTTTATGCAGCATTTGCAAAAACCGCATTTAAAGGTGAAAGTCAGACA  1095\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  847   AGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTG  906\n",
+      "\n",
+      "             |||||||| ||||| |||||||||||||| ||||| ||||| || ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1096  AGTTTACACCATTTCTGGGAAATGGTTGCCTACATTGCAAACACACTTATATTTATACTG  1155\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  907   AGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGC  966\n",
+      "\n",
+      "             |||||||| |||||||||||||| || ||||| || |  || |||||||| || ||||||\n",
+      "\n",
+      "Sbjct  1156  AGTGGGGTTGTTATTGCAGATGGGGTGCTACAGAACAGGGTCCATTTTGAGAGGCATGGC  1215\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  967   ACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTT  1026\n",
+      "\n",
+      "             ||||| ||||| | |||||| ||||| ||| ||||||| | | |||| ||   | | || \n",
+      "\n",
+      "Sbjct  1216  ACTTCGTGGGGCTACCTTCTCCTGCTATATGTCTTTGTGCAACTATCTCGGACTATTGTG  1275\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1027  GTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCC  1086\n",
+      "\n",
+      "             |||||||||||||||||||| ||| ||   || ||||| |||||||||||||| ||||| \n",
+      "\n",
+      "Sbjct  1276  GTTGGTGTTTTGTATCCATTATTGAGTAATTTCGGGTACGGTTTGGACTTGAAGGAGGCG  1335\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1087  ATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTT  1146\n",
+      "\n",
+      "               ||||||| | ||||||||  || |||| ||||||||||| ||||| ||  | ||||| \n",
+      "\n",
+      "Sbjct  1336  GCAATTCTTATTTGGTCAGGATTGCGAGGTGCTGTTGCTCTTTCACTTTCCATGTCTGTC  1395\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1147  AAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTG  1206\n",
+      "\n",
+      "             || || || || |||||||| ||| | |||||  |||| || | |||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1396  AAGCGAACCAGCGATGCAGTTCAACCGTATCTAAAACCTGAGGATGGAACTATGTTTTTG  1455\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1207  TTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTT  1266\n",
+      "\n",
+      "             |||||||||||||||||||||||||| ||| |||   | |||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  1456  TTCTTCACTGGTGGCATTGTGTTTCTCACACTGACATTCAATGGTTCCACAACACAATTT  1515\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1267  TTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATAT  1326\n",
+      "\n",
+      "             ||  ||||  |||||||| |||||||||| || ||| | ||| |||| ||||| || |||\n",
+      "\n",
+      "Sbjct  1516  TTGCTACACCTGCTTGGCTTGGACAAACTATCTGCAGCGAAGCTTCGCATATTAAATTAT  1575\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1327  ACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAA  1386\n",
+      "\n",
+      "             |||| | |||||||||  || ||||| ||||| || ||||| ||||| ||||||||||| \n",
+      "\n",
+      "Sbjct  1576  ACAAAATATGAAATGCAAAATAAAGCTTTAGAAGCCTTTGGAGAGCTCAGGGATGATGAG  1635\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1387  GAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTG  1446\n",
+      "\n",
+      "             || || ||||||||||| ||||  || |||||||| ||||| | |||||||   ||||| \n",
+      "\n",
+      "Sbjct  1636  GAACTAGGACCTGCTGACTGGGCAACCGTAAAGAAGTATATCAGATGTTTG---GACTTC  1692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1447  GATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATG  1503\n",
+      "\n",
+      "              ||||||| |||| |||||| ||| |  |   ||  |  |||  |  ||||||||| | |\n",
+      "\n",
+      "Sbjct  1693  AATGATGAGCCAGTGCATCCACATCAGGTTTCTGGAACAGATGACTACATGCATACTAGG  1752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1504  AACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATG  1563\n",
+      "\n",
+      "             ||| ||| ||| || ||||| |||||| |||| ||||| |||||  | || |||||||||\n",
+      "\n",
+      "Sbjct  1753  AACATAAAGGACATTCGAGTCCGGCTTTTGAACGGTGTGCAAGCATCTTACTGGGGAATG  1812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1564  CTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAA  1623\n",
+      "\n",
+      "             ||||||||||||||||||| |||| || |||||||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  1813  CTTGAAGAGGGACGAATAAGTCAAACTGCAGCAAATATTCTGATGAGATCAGTTGATGAA  1872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1624  GCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTC  1683\n",
+      "\n",
+      "             ||||| || ||| | ||||   | || ||||| |||||| | |||||| | |||| ||||\n",
+      "\n",
+      "Sbjct  1873  GCTATAGATCTTGTTTCCACGGAGCCATTATGCGATTGGAACGGTTTAAAGTCCAGTGTC  1932\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1684  CAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACA  1743\n",
+      "\n",
+      "             |||||||||| |||||||||||| || |||||||| ||| ||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1933  CAGTTCCCGAGTTACTATAGATTTCTTCAGATGAGTAGGCTGCCACGAAAGCTTATCACA  1992\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1744  TACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCT  1803\n",
+      "\n",
+      "              |||||||||| |||||||||||||| ||||| || || | |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1993  AACTTCACAGTTGAAAGATTGGAGTCTGGATGCTATATCTGTGCTGCATTTCTTCGTGCT  2052\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1804  CACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACT  1863\n",
+      "\n",
+      "             ||||||| |||||||||||| |||||||| || ||||||||||||||||||| ||||| |\n",
+      "\n",
+      "Sbjct  2053  CACAGAATTGCAAGGCGACAACTGCATGACTTCCTTGGTGATAGTGAGGTTGCAAGAATT  2112\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1864  GTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGT  1923\n",
+      "\n",
+      "             ||||| |||||||||||| |||||||||||||||||| ||||||  ||||||||||||| \n",
+      "\n",
+      "Sbjct  2113  GTTATCGATGAAAGTAATTCTGAGGGGGAGGAAGCTAGAAAATTCTTGGAAGATGTTCGA  2172\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1924  GTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTG  1983\n",
+      "\n",
+      "             ||||| ||||| |||||||||| ||| || ||| | || || || ||||| |||||||||\n",
+      "\n",
+      "Sbjct  2173  GTTACATTCCCACAGGTGCTACATGTTCTGAAGACTCGGCAAGTAACATACTCAGTATTG  2232\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1984  ACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAA  2043\n",
+      "\n",
+      "             |||||| | ||||||||| |||||||||| |||||||| ||||||||||| || ||||||\n",
+      "\n",
+      "Sbjct  2233  ACACACTTAAGTGAGTATGTTCAAAACCTACAGAAGACTGGGTTGCTGGAAGAGAAGGAA  2292\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2044  ATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCG  2103\n",
+      "\n",
+      "              || | ||| |||||||  ||||||||| |||||| ||||| ||||| | ||||||||| \n",
+      "\n",
+      "Sbjct  2293  GTGGTCCATCTAGATGACTCTTTGCAGAGAGACTTGAAGAAGTTGAAGACGAATCCACCA  2352\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2104  ATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTG  2163\n",
+      "\n",
+      "               |||||||||||| ||| || |||| ||| ||||||  || |||||||| ||||  |||\n",
+      "\n",
+      "Sbjct  2353  CCGGTGAAAATGCCCAGATTTAGTGAGCTTCTAAACAATCACCCTTTAGTTGGTGTGCTG  2412\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2164  CCTG---CTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||   | ||    ||||||||||| || ||||| | |||||| |||||| ||| ||||\n",
+      "\n",
+      "Sbjct  2413  CCTGAAACAGT---GCGTGATCCTTTGTTGAGTAACATAAAAGAGACTGTAAGAGCGCAT  2469\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || || ||||| ||||||||  | ||||| || ||| |||||||||||||| | || \n",
+      "\n",
+      "Sbjct  2470  GGCACAATCCTTTACAAGGAAGGTCCGAGGCCAACCGGTATATGGCTTGTTTCACTTGGA  2529\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| ||||||||||| | ||||||| ||||||| | |||||||||||||| \n",
+      "\n",
+      "Sbjct  2530  GTAGTAAAGTGGACAAGTCAGAGATTGAGCAGCAAGCATTCCCTAGATCCAATTTTATCG  2589\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || || | |||||||||| |||| ||||||||| |||| ||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  2590  CATGGCAGCACTTTGGGTCTATATGAGGTGCTGGTTGGGAAGCCTTATATTTGTGAGATG  2649\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "              | || |||||||| || ||||||||||| || ||||||||||||||||||||| | |||\n",
+      "\n",
+      "Sbjct  2650  GTGACTGATTCTGTCGTACATTGTTTCTTCGTTGAAGCTGAAAAGATTGAGCAATTACGT  2709\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             || || ||||| ||||||||| |||||||| ||||||||||  | ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  2710  CAGTCAGATCCCTCTATTGAGTTTTTCCTGAGGCAGGAAAGTGCTCTAGTCATTGCCCGG  2769\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||| | || || ||||| ||||| ||| || |||||||||||||||| || |||||  | \n",
+      "\n",
+      "Sbjct  2770  CTTCTGCTCCCCCAGATCTTTGAAAAAGTGTCAATGCATGAGATCAGAGTTCTCATCACA  2829\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             |||||||| || || || |||||||| |  || |||||||| ||| | ||| |     ||\n",
+      "\n",
+      "Sbjct  2830  GAAAGGTCAACAATAAATGTATACATCAGAGGGGAAGACATAGAAATTGAGCAGGACCAC  2889\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATC-TCATCACACCTCC  2699\n",
+      "\n",
+      "             ||||| ||  |||||||||||| | ||| || |||| | ||||| | | |||| ||||||\n",
+      "\n",
+      "Sbjct  2890  ATTGGTATCTTGCTGGAAGGATATCTGAGGAGCAAG-GACAAAAACTTGATCAAACCTCC  2948\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2700  AGCGGTGCTGCTTCCATCGAATATCAACT-TAGCCCTATTTGGTCTTGAATCTTCAGCTA  2758\n",
+      "\n",
+      "             || | | ||||| ||| |||||    | | |||  |  || ||||| || || |||||||\n",
+      "\n",
+      "Sbjct  2949  AGGGATCCTGCTGCCAGCGAATTCGGATTGTAGTTC-GTTCGGTCTCGAGTCGTCAGCTA  3007\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2759  TGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGA  2818\n",
+      "\n",
+      "             |||| |||||||||||||| |||||||| |||| |||||| |||||  | ||||| ||||\n",
+      "\n",
+      "Sbjct  3008  TGAATCATGTGGACTACTGTTATACTGCACCCATTTATCAGGTGGATTCCAGAGCCAGGA  3067\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2819  TTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCAT  2878\n",
+      "\n",
+      "             || |  | ||||||||||  ||     | || | ||| || || || || |||| || ||\n",
+      "\n",
+      "Sbjct  3068  TTCTGATATTTGAAATAGTCAG---AACGGAAGCAGAAGCCGAAATGCAAAGAACCGTAT  3124\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2879  CTTTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGC  2938\n",
+      "\n",
+      "             || | ||||| || ||||||||||| |  ||||||| |  ||||||||||||   | |||\n",
+      "\n",
+      "Sbjct  3125  CTCTATTGTCACAAACCCATGAACCGCAACGGACACCGGCCAAAGAGCATAGCAATTTGC  3184\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2939  TCAGTTGGCCAGAAAGCTTCCGAAG----------ATCCCGAGCT---------------  2973\n",
+      "\n",
+      "             ||||||||||  ||||||||  |||          ||||| || |               \n",
+      "\n",
+      "Sbjct  3185  TCAGTTGGCCGCAAAGCTTCAAAAGGAGGGACAGCATCCCAAGATCTCCAAGGCGTCCCA  3244\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2974  --------------GAAATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGC  3019\n",
+      "\n",
+      "                           ||||| || | ||| || |||| | ||||| | | |||||||||||\n",
+      "\n",
+      "Sbjct  3245  ATGCAAGCTTAAGCGAAATAAGGAACCATCCTGGCACCTTCTCTTCTAAAGCCCTGCAGC  3304\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3020  TGAGCATGTACGGAAGCATGATGGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGC  3079\n",
+      "\n",
+      "             |||| ||||||||| ||||||| | ||||  ||  |||   ||  | |||||||  ||  \n",
+      "\n",
+      "Sbjct  3305  TGAGTATGTACGGAGGCATGATCGATGAC--GCGTTCA--CCA--GTCAGAGGCAACACA  3358\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3080  GGCATCGTCGCATGCAGGCAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTT  3139\n",
+      "\n",
+      "             ||    ||| |   |||||||| |||  |  ||||||||||||||| || ||| ||||||\n",
+      "\n",
+      "Sbjct  3359  GG---AGTCACCCACAGGCAACGAACCAGTCGCACAGCTCGTCCTACCCGAGACTGCCTT  3415\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3140  CAAGACAAGCC-------AACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAAC  3192\n",
+      "\n",
+      "             ||| | | |||        || | |||||||| ||   ||| | ||| || |||| ||||\n",
+      "\n",
+      "Sbjct  3416  CAACA-AGGCCGCCTAGTCACTCACGGCCTCTCCTGCACGTGCGGTCAGAAGGTTCCAAC  3474\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3193  ATGAACAGGTTGCCTGCT  3210\n",
+      "\n",
+      "             | ||| | | || | |||\n",
+      "\n",
+      "Sbjct  3475  ACGAAAACGATGGCAGCT  3492\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">JN936862.1 Aeluropus littoralis plasma membrane Na+/H+ antiporter (SOS1) \n",
+      "\n",
+      "mRNA, complete cds\n",
+      "\n",
+      "Length=3641\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2847 bits (3156),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2577/3243 (79%), Gaps = 75/3243 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  12    TGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCG  71\n",
+      "\n",
+      "             ||| ||||| || |||||||||||||| |  |||||||||||| |||| |||||||| ||\n",
+      "\n",
+      "Sbjct  16    TGACCCTGATGACGCGGTGCTCTTCGTGGGCGTCTCGCTGGTGTTGGGCATCGCCTCCCG  75\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  72    CCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGC  131\n",
+      "\n",
+      "             |||||||||||| ||||||||||| |||||||| || ||||| ||| || ||||||| ||\n",
+      "\n",
+      "Sbjct  76    CCACCTGCTCCGCGGCACCCGCGTGCCCTACACAGTCGCCCTGCTCGTCGTCGGCGTCGC  135\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  132   CCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCG  191\n",
+      "\n",
+      "              || |||||||||||||  |||||   |||  || | |||||||||||| | || |||||\n",
+      "\n",
+      "Sbjct  136   ACTTGGCTCCCTCGAATATGGAACGAAACACAGTTTAGGCAAACTTGGAACGGGAATTCG  195\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  192   TATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTT  251\n",
+      "\n",
+      "             ||| |||||||||||||| |||||||| || ||||||||||||||||| || || |||||\n",
+      "\n",
+      "Sbjct  196   TATCTGGGCTAACATAAATCCTGATCTACTTTTGGCTGTTTTTCTACCGGCTCTGTTGTT  255\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  252   CGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCT  311\n",
+      "\n",
+      "              |||||  | ||||||||||| ||||||||||| |||||||| |||||||| ||| || |\n",
+      "\n",
+      "Sbjct  256   TGAAAGTGCATTTTCAATGGAAATTCACCAAATAAAGAGATGCATGGCACAAATGATGTT  315\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  312   GCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTAC  371\n",
+      "\n",
+      "              ||||| ||||| |||||  | || |||||  |||||||||||||   ||| ||| |  |\n",
+      "\n",
+      "Sbjct  316   ACTTGCAGGACCGGGTGTGATAATGTCAACGTTTTTACTTGGCACGGCTGTTAAGCTCGC  375\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  372   TTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAAC  431\n",
+      "\n",
+      "             |||||| ||||| ||||  ||||||  ||| |||||||| || ||||| ||||| |||||\n",
+      "\n",
+      "Sbjct  376   TTTTCCGTACAAATGGAATTGGAAAACATCTTTGTTGCTCGGAGGACTGCTTAGCGCAAC  435\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  432   TGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTAC  491\n",
+      "\n",
+      "             ||||||||||||||||||||||||||| ||||||||||||||||| ||||| ||||||||\n",
+      "\n",
+      "Sbjct  436   TGATCCTGTTGCTGTGGTTGCACTGCTTAAAGAACTTGGAGCAAGCAAAAAACTCAGTAC  495\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  492   AATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATT  551\n",
+      "\n",
+      "             ||| |||||||| ||||| |||||||| ||||||||||| ||||||||||||||  | ||\n",
+      "\n",
+      "Sbjct  496   AATCATTGAGGGCGAATCACTAATGAATGATGGGACTGCAATTGTTGTCTATCAGTTGTT  555\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  552   TTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGA  611\n",
+      "\n",
+      "              |  |||||||| || |||| ||||||  |||| |||  | | ||||| |||||    ||\n",
+      "\n",
+      "Sbjct  556   CTATCGAATGGTACTAGGAACAACCTTCAATGCAGGCCAAGTAATAAAATTCTTGACAGA  615\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  612   AGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCT  671\n",
+      "\n",
+      "             |||| | ||||| ||||||||  | || |||||||| ||||||| |||||| ||||||||\n",
+      "\n",
+      "Sbjct  616   AGTTTCACTTGGAGCTGTTGCCCTTGGACTTGCATTTGGAATTGCATCAGTGCTGTGGCT  675\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  672   GGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATAT  731\n",
+      "\n",
+      "             |||||||||||| ||||| ||||| |||||||| ||||||||  ||||||| ||||||||\n",
+      "\n",
+      "Sbjct  676   GGGCTTTATTTTCAATGACACAATTATAGAGATAGCACTTACAGTTGCTGTTAGCTATAT  735\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  732   AGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTT  791\n",
+      "\n",
+      "              |||||| | || || ||||| |||||||| || |||||||||||  | ||||||||  |\n",
+      "\n",
+      "Sbjct  736   TGCTTTCATTACAGCACAAGACTCGCTGGAAGTCTCTGGTGTTTTAACGGTCATGACACT  795\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  792   GGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTT  851\n",
+      "\n",
+      "              ||||||||||||||||| |||||||||||||| || || ||||| |||||   ||||||\n",
+      "\n",
+      "Sbjct  796   TGGAATGTTTTATGCAGCATTTGCAAAAACCGCATTTAAAGGTGAAAGCCAAACAAGTTT  855\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  852   ACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGG  911\n",
+      "\n",
+      "             ||| |||||||||||||||||||| ||||| ||||| || ||||| |||||| |||||||\n",
+      "\n",
+      "Sbjct  856   ACACCATTTTTGGGAAATGGTTGCCTACATTGCAAACACACTTATATTTATACTGAGTGG  915\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  912   GGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTC  971\n",
+      "\n",
+      "             ||| ||||||||||||||||| ||| | || || |  |||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  916   GGTTGTTATTGCAGATGGTGTGCTAGAGAACAAGGACCATTTTGAGAGACATGGCACTTC  975\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  972   TTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGG  1031\n",
+      "\n",
+      "              ||||| | |||||| ||||| ||| ||||||| | | |||| ||   | | || |||||\n",
+      "\n",
+      "Sbjct  976   GTGGGGCTACCTTCTCCTGCTATATGTCTTTGTGCAACTATCTCGGACTATTGTGGTTGG  1035\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1032  TGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAAT  1091\n",
+      "\n",
+      "             ||||||||||||||||||| ||   || ||||||||| ||||| |||| |||||   |||\n",
+      "\n",
+      "Sbjct  1036  TGTTTTGTATCCATTGTTGAGTAATTTCGGGTATGGTCTGGACATGAAGGAGGCGGCAAT  1095\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1092  TCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACG  1151\n",
+      "\n",
+      "             |||| | ||||||||  ||||||| ||||||||||| ||||| ||  | ||||| || ||\n",
+      "\n",
+      "Sbjct  1096  TCTTATTTGGTCAGGATTGAGAGGTGCTGTTGCTCTTTCACTTTCCATGTCTGTCAAGCG  1155\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1152  TACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTT  1211\n",
+      "\n",
+      "              || || |||||||| ||  | |||||  |||| |||| |||||| |||||| |||||||\n",
+      "\n",
+      "Sbjct  1156  AACCAGCGATGCAGTTCACCCGTATCTAAAACCTGAAGATGGAACTATGTTTTTGTTCTT  1215\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1212  CACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTT  1271\n",
+      "\n",
+      "             |||||||||||| |||||||| ||| | |   | ||||| ||||| |||||||||||  |\n",
+      "\n",
+      "Sbjct  1216  CACTGGTGGCATAGTGTTTCTCACACTAACATTCAATGGCTCAACAACACAATTTTTGCT  1275\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1272  ACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAG  1331\n",
+      "\n",
+      "             |||  |||||||| ||| |||||| || ||| | ||| | || ||||| || ||||||||\n",
+      "\n",
+      "Sbjct  1276  ACACCTGCTTGGCTTGGGCAAACTATCTGCAGCGAAGCTCCGCATATTAAATTATACAAG  1335\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1332  ACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCT  1391\n",
+      "\n",
+      "             | |||||||||  || ||||||||||| || ||||| ||||| |||||||| || || ||\n",
+      "\n",
+      "Sbjct  1336  ATATGAAATGCAAAATAAAGCATTAGAAGCCTTTGGAGAGCTCAGGGATGACGAGGAACT  1395\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1392  TGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGA  1451\n",
+      "\n",
+      "              ||||| ||||| |||||||| |||||||| ||||| | |||||||   ||||| || ||\n",
+      "\n",
+      "Sbjct  1396  AGGACCCGCTGACTGGGTTACCGTAAAGAAGTATATAAGATGTTTG---GACTTCGACGA  1452\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1452  TGAACCAGAGCATCCCCAT---GACATTGACAAGGATAGCCGCATGCATACCATGAACCT  1508\n",
+      "\n",
+      "             ||| |||| |||||| |||   | |  ||  |  |||  |  ||||||||| | |||| |\n",
+      "\n",
+      "Sbjct  1453  TGAGCCAGTGCATCCACATCAGGTCTCTGGAACAGATGACTACATGCATACTAGGAACAT  1512\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1509  AAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGA  1568\n",
+      "\n",
+      "             || ||| || ||||| |||||| |||| ||||| ||||| || || ||||||||||| ||\n",
+      "\n",
+      "Sbjct  1513  AAAGGACATTCGAGTCCGGCTTTTGAACGGTGTGCAAGCAGCTTACTGGGGAATGCTCGA  1572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1569  AGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTAT  1628\n",
+      "\n",
+      "             |||||| ||||||| |||| |||| || ||||||||||||||||| ||||||||||||| \n",
+      "\n",
+      "Sbjct  1573  AGAGGGGCGAATAAATCAAACTACTGCTAATATTCTGATGAGATCAGTTGATGAAGCTAC  1632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1629  GGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTT  1688\n",
+      "\n",
+      "              || ||| | || |     || || || || ||| | |||||| | |||| ||||| |||\n",
+      "\n",
+      "Sbjct  1633  AGATCTTGTTTCTACGTTGCCATTGTGCGACTGGAATGGTTTAAAGTCCAGTGTCCGGTT  1692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1689  CCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTT  1748\n",
+      "\n",
+      "             ||| | ||||||||||| ||| |||||||| ||| |||||||||| || || ||| ||||\n",
+      "\n",
+      "Sbjct  1693  CCCAAGTTACTATAGATACCTTCAGATGAGTAGGCTGCCACGAAAACTTATAACAAACTT  1752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1749  CACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAG  1808\n",
+      "\n",
+      "             |||||| |||||| ||||||| ||||| || || | ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1753  CACAGTTGAAAGACTGGAGTCTGGATGCTATATCTGTGCTGCATTTCTTCGTGCTCACAG  1812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1809  AACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTAT  1868\n",
+      "\n",
+      "             || |||||||||||| |||||||| || ||||||||||||||||||| ||||| ||||||\n",
+      "\n",
+      "Sbjct  1813  AATTGCAAGGCGACAACTGCATGACTTCCTTGGTGATAGTGAGGTTGCAAGAATTGTTAT  1872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1869  TGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTAC  1928\n",
+      "\n",
+      "             ||| ||||||||| |||||||||||||||||| ||||||  ||||||||||||| |||||\n",
+      "\n",
+      "Sbjct  1873  TGACGAAAGTAATTCTGAGGGGGAGGAAGCTAGAAAATTCTTGGAAGATGTTCGAGTTAC  1932\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1929  GTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACA  1988\n",
+      "\n",
+      "              ||||| |||||||||| ||| || ||| | || || || ||||| || |||||||| ||\n",
+      "\n",
+      "Sbjct  1933  ATTCCCACAGGTGCTACATGTTCTCAAGACTCGGCAAGTAACATACTCGGTATTGACGCA  1992\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1989  CCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGAT  2048\n",
+      "\n",
+      "             | | ||||||||| ||||||||||||| ||||| ||||||||||| || |||||| || |\n",
+      "\n",
+      "Sbjct  1993  CTTAAGTGAGTATGTTCAAAACCTCCATAAGACTGGGTTGCTGGAAGAGAAGGAAGTGGT  2052\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2049  GCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGT  2108\n",
+      "\n",
+      "              ||| |||||||| ||||||||| |||||| ||||| ||||  | |||||||||   |||\n",
+      "\n",
+      "Sbjct  2053  TCATCTAGATGATTCTTTGCAGAGAGACTTGAAGAAGTTGAGGACGAATCCACCACCGGT  2112\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2109  GAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTG-  2167\n",
+      "\n",
+      "             ||||||||| ||| || |||| ||| ||||||  || |||||||| ||||| ||||||| \n",
+      "\n",
+      "Sbjct  2113  GAAAATGCCCAGATTTAGTGAGCTTCTAAACAATCACCCTTTAGTTGGTGCGCTGCCTGA  2172\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2168  --CTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTAC  2225\n",
+      "\n",
+      "               | ||    ||||||||||| || ||||| | ||| || |||||| ||| |||||| ||\n",
+      "\n",
+      "Sbjct  2173  AACAGT---GCGTGATCCTTTGTTGAGTAACATAAAGGAGACTGTAAGAGCGCATGGCAC  2229\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2226  GATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGT  2285\n",
+      "\n",
+      "              || ||||| |||||||| || ||||| |||||  |||||||||||||  ||||  ||||\n",
+      "\n",
+      "Sbjct  2230  AATCCTTTACAAGGAAGGTTCGAGGCCAACTGGCATATGGCTTGTTTCGCTAGGAATAGT  2289\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2286  GAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGG  2345\n",
+      "\n",
+      "              |||||| ||||||||||| | ||||||| ||||||| | |||||||||||||| || ||\n",
+      "\n",
+      "Sbjct  2290  AAAGTGGACAAGTCAGAGATTGAGCAGCAAGCATTCCCTAGATCCAATTTTATCGCATGG  2349\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2346  AAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTAC  2405\n",
+      "\n",
+      "             || |||||||||| |||||||||||||| |||| ||||| ||||||||||| ||| | ||\n",
+      "\n",
+      "Sbjct  2350  AAGCACTTTGGGTCTATACGAGGTGCTGGTTGGGAAGCCTTATATTTGTGAGATGGTGAC  2409\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2406  AGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATC  2465\n",
+      "\n",
+      "              |||||||| || |||||||||||||| |||||||||||||| |||| | | ||||||||\n",
+      "\n",
+      "Sbjct  2410  CGATTCTGTCGTACATTGTTTCTTTGTTGAAGCTGAAAAGATCGAGCGATTACGTCAATC  2469\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2466  GGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTT  2525\n",
+      "\n",
+      "              ||||| ||||||||| |||||||||||||||||||  | ||||| |||||| ||||| |\n",
+      "\n",
+      "Sbjct  2470  AGATCCCTCTATTGAGTTTTTCCTGTGGCAGGAAAGTGCTCTAGTCATTGCCCGGCTTCT  2529\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2526  ACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTGAAAG  2585\n",
+      "\n",
+      "              || || ||||| |||||||||||| |||||||||||||||| || ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  2530  GCTCCCCCAGATCTTTGAGAAAATGTCAATGCATGAGATCAGAGTTCTCATCGCTGAGAG  2589\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2586  GTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGG  2645\n",
+      "\n",
+      "             ||| || || ||||||||||| |  || ||||||||   | | ||| | |   || ||||\n",
+      "\n",
+      "Sbjct  2590  GTCAACAATCAACGTATACATCAGAGGGGAAGACATACGAATTGAGCAGAACCACGTTGG  2649\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2646  CATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATC-TCATCACACCTCCAGCGG  2704\n",
+      "\n",
+      "              ||| |||||||||||| | ||| || |||| | ||||| | | |||| |||||||| | \n",
+      "\n",
+      "Sbjct  2650  TATTTTGCTGGAAGGATATCTGAGGAGCAAG-GACAAAAACTTGATCAAACCTCCAGGGA  2708\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2705  TGCTGCTTCCATCGAATATCAACTTAGCCCT-ATTTGGTCTTGAATCTTCAGCTATGAAC  2763\n",
+      "\n",
+      "             | ||||| ||  ||||| ||   || |   |  ||||||||||| || |||||  |||| \n",
+      "\n",
+      "Sbjct  2709  TCCTGCTGCCGGCGAAT-TCGGATTGGAGTTCGTTTGGTCTTGAGTCGTCAGCCGTGAAT  2767\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2764  CATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTATC  2823\n",
+      "\n",
+      "             ||||| |||||||| ||  |||| |||   ||||| |||||  | ||||| |||||| | \n",
+      "\n",
+      "Sbjct  2768  CATGTTGACTACTGTTACGCTGCACCCGTCTATCAGGTGGATTCCAGAGCTAGGATTCTG  2827\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2824  TTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTTTG  2883\n",
+      "\n",
+      "              | |||||||||| ||||    | ||   ||| || || || || ||||||| |||| | \n",
+      "\n",
+      "Sbjct  2828  ATATTTGAAATAGTAAGG---ACGGAAACAGAAGCCGAAATGCAAAGAAGCGTATCTCTA  2884\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2884  TTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCAGT  2943\n",
+      "\n",
+      "              |||| || || |||||||| |  ||||||| | |||||||||||||   | | ||||| \n",
+      "\n",
+      "Sbjct  2885  CTGTCGCAAACTCATGAACCACAACGGACACCGGGCAAAGAGCATAGCAATTTACTCAGC  2944\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2944  TGGCCAGAAAGCTTCCGAAG----------ATCCCGAGCT--------------------  2973\n",
+      "\n",
+      "             |||||  |||||||| ||||          |||||||| |                    \n",
+      "\n",
+      "Sbjct  2945  TGGCCGCAAAGCTTCAGAAGGAGGGATAGCATCCCGAGGTCCCCAAGGCGTCCGAATGCA  3004\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2974  ---------GAAATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGC  3024\n",
+      "\n",
+      "                      |||||||||| ||| ||| | ||| ||||| | | ||| |||||| |||||\n",
+      "\n",
+      "Sbjct  3005  AGCTTAAGCGAAATCAGAAACCATCCGAGTAGCTTCTCTTCTAAAGCGCTGCAGTTGAGC  3064\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3025  ATGTACGGAAGCATGATGGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCGGCAT  3084\n",
+      "\n",
+      "             ||||||||| ||||||| | ||||| |  | | |||      |||||||||||| ||  |\n",
+      "\n",
+      "Sbjct  3065  ATGTACGGAGGCATGATCGATGACACGTTCACCGGT------CAGAGGCGGCAGAGGAGT  3118\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3085  CGTCGCATGCAGGCAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGA  3144\n",
+      "\n",
+      "             ||||   |||||||||| | |  ||  || ||||| ||||| || ||| ||||||||| |\n",
+      "\n",
+      "Sbjct  3119  CGTC---TGCAGGCAACGAGCCAGACTCATAGCTCATCCTACCCGAGACTGCCTTCAACA  3175\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3145  CAAGCC-------AACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGAA  3197\n",
+      "\n",
+      "              | |||       ||||| |||||||| |||  ||| |  ||||| |||| |||||||||\n",
+      "\n",
+      "Sbjct  3176  -AGGCCGCCGAGTAACACACGGCCTCTCCTCCACGTGCGTTCGGAAGGTTCCAACATGAA  3234\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3198  CAG  3200\n",
+      "\n",
+      "              ||\n",
+      "\n",
+      "Sbjct  3235  AAG  3237\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 52.7 bits (57),  Expect = 0.22\n",
+      "\n",
+      " Identities = 54/71 (76%), Gaps = 0/71 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3268  TCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAGCATGCTG  3327\n",
+      "\n",
+      "             |||  ||||||| | ||  |||| |||| | | |||  ||| |||||||| |||||||||\n",
+      "\n",
+      "Sbjct  3317  TCACCCGACGAGGCCGCGAGGGACGAAGCCGTTGTCACAGTGGACTCCCCAAGCATGCTG  3376\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3328  TCTTTTCGTCA  3338\n",
+      "\n",
+      "             ||| | | |||\n",
+      "\n",
+      "Sbjct  3377  TCTGTCCCTCA  3387\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">HQ329792.2 Aeluropus littoralis plasma membrane Na+/H+ antiporter mRNA, \n",
+      "\n",
+      "complete cds\n",
+      "\n",
+      "Length=3981\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2843 bits (3152),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2577/3247 (79%), Gaps = 73/3247 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7     GAGCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCC  66\n",
+      "\n",
+      "             ||||| || || || || |||||| ||||||| |  |||||||||||| |||| ||||||\n",
+      "\n",
+      "Sbjct  252   GAGCCGGAGCCCGATGACGCGGTGATCTTCGTGGGCGTCTCGCTGGTGTTGGGCATCGCC  311\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  67    TCGCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGC  126\n",
+      "\n",
+      "             || |||||||||||||| ||||||||||| |||||||| || ||||| ||| || |||||\n",
+      "\n",
+      "Sbjct  312   TCCCGCCACCTGCTCCGCGGCACCCGCGTGCCCTACACAGTCGCCCTGCTCGTCATCGGC  371\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  127   GTTGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGC  186\n",
+      "\n",
+      "             || || || |||||||||||||  |||||   |||  || | |||||||||||| | || \n",
+      "\n",
+      "Sbjct  372   GTCGCACTTGGCTCCCTCGAATATGGAACGAAACACAGTTTAGGCAAACTTGGAACCGGA  431\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  187   ATTCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTC  246\n",
+      "\n",
+      "             |||||||| |||||||||||||| |||||||| || ||||||||||||||||| || |||\n",
+      "\n",
+      "Sbjct  432   ATTCGTATCTGGGCTAACATAAATCCTGATCTACTTTTGGCTGTTTTTCTACCGGCTCTC  491\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  247   TTGTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATG  306\n",
+      "\n",
+      "             ||||| |||||| | ||||||||||| ||||||||||| |||||||| |||||||| |||\n",
+      "\n",
+      "Sbjct  492   TTGTTTGAAAGCGCATTTTCAATGGAAATTCACCAAATAAAGAGATGCATGGCACAAATG  551\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  307   GTGCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAG  366\n",
+      "\n",
+      "              || | ||||| ||||| ||||| || || |||||  |||||||||||||   |||||||\n",
+      "\n",
+      "Sbjct  552   ATGTTACTTGCAGGACCGGGTGTGGTAATGTCAACGTTTTTACTTGGCACGGCTGTAAAG  611\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  367   GTTACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGT  426\n",
+      "\n",
+      "              |  ||||||| ||||| ||||  ||||||  ||| ||||| || || ||||| ||||| \n",
+      "\n",
+      "Sbjct  612   CTCGCTTTTCCGTACAAATGGAATTGGAAAACATCTTTGTTACTCGGAGGACTGCTTAGC  671\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  427   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTC  486\n",
+      "\n",
+      "             |||||||||||||||||||||||||||||||| ||||||||||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  672   GCAACTGATCCTGTTGCTGTGGTTGCACTGCTTAAAGAACTTGGAGCAAGCAAAAAACTC  731\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  487   AGTACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAA  546\n",
+      "\n",
+      "             |||||||| |||||||| ||||| |||||||| ||||||||||| |||||||||||||| \n",
+      "\n",
+      "Sbjct  732   AGTACAATCATTGAGGGCGAATCACTAATGAATGATGGGACTGCAATTGTTGTCTATCAG  791\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  547   CTATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTA  606\n",
+      "\n",
+      "              | || |  |||||||| || |||| ||||||  ||||||||  | | ||||| ||||| \n",
+      "\n",
+      "Sbjct  792   TTGTTCTATCGAATGGTACTAGGAACAACCTTCAATGCTGGCCAAGTAATAAAATTCTTG  851\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  607   TTGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTG  666\n",
+      "\n",
+      "                || ||| | ||||| ||||||||  | || |||||||| ||||||| |||||| |||\n",
+      "\n",
+      "Sbjct  852   ACAGAGGTTTCACTTGGAGCTGTTGCCCTTGGACTTGCATTTGGAATTGCATCAGTGCTG  911\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  667   TGGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGC  726\n",
+      "\n",
+      "             ||||||||||||||||| ||||||||||| |||||||| ||||||||  ||||||| |||\n",
+      "\n",
+      "Sbjct  912   TGGCTGGGCTTTATTTTCAATGATACAATTATAGAGATAGCACTTACAGTTGCTGTTAGC  971\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  727   TATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATG  786\n",
+      "\n",
+      "             ||||| |||||||| || || ||||| |||||||| || |||||||||||  | ||||||\n",
+      "\n",
+      "Sbjct  972   TATATTGCTTTCTTTACAGCACAAGACTCGCTGGAAGTCTCTGGTGTTTTAACGGTCATG  1031\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  787   ACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAA  846\n",
+      "\n",
+      "             ||  | ||||||||||||||||| |||||||||||||| || || ||||| || ||   |\n",
+      "\n",
+      "Sbjct  1032  ACACTTGGAATGTTTTATGCAGCATTTGCAAAAACCGCATTTAAAGGTGAAAGTCAAACA  1091\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  847   AGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTG  906\n",
+      "\n",
+      "             |||||||| || ||||||||||||||||| ||||| ||||| || ||||| |||||| | \n",
+      "\n",
+      "Sbjct  1092  AGTTTACACCACTTTTGGGAAATGGTTGCCTACATTGCAAACACACTTATATTTATACTC  1151\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  907   AGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGC  966\n",
+      "\n",
+      "             |||||||| ||||||||||||||||| ||| | || || || |||||||| |||||||||\n",
+      "\n",
+      "Sbjct  1152  AGTGGGGTTGTTATTGCAGATGGTGTGCTAGAGAACAAGGTCCATTTTGAGAGACATGGC  1211\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  967   ACTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTT  1026\n",
+      "\n",
+      "             ||||| ||||| | |||||||||||| ||| ||||||| | | |||| ||   | | || \n",
+      "\n",
+      "Sbjct  1212  ACTTCGTGGGGCTACCTTCTTCTGCTATATGTCTTTGTGCAACTATCTCGGACTATTGTG  1271\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1027  GTTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCC  1086\n",
+      "\n",
+      "             |||||||||||||||||||||||| ||   || ||||||||| ||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  1272  GTTGGTGTTTTGTATCCATTGTTGAGTAATTTCGGGTATGGTCTGGACATGAAGGAGGCG  1331\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1087  ATAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTT  1146\n",
+      "\n",
+      "               ||||||| | ||||||||  || |||| |||||| |||| ||||| ||  | ||||| \n",
+      "\n",
+      "Sbjct  1332  GCAATTCTTATTTGGTCAGGATTGCGAGGTGCTGTTCCTCTTTCACTTTCCATGTCTGTC  1391\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1147  AAACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTG  1206\n",
+      "\n",
+      "             || || || || |||||||| ||| | |||||  |||| || | |||||| |||||| ||\n",
+      "\n",
+      "Sbjct  1392  AAGCGAACCAGCGATGCAGTTCAACCGTATCTAAAACCTGAGGATGGAACTATGTTTTTG  1451\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1207  TTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTT  1266\n",
+      "\n",
+      "             ||||||||||| ||||| | |||||| ||| | |   | ||||| ||||| |||||||||\n",
+      "\n",
+      "Sbjct  1452  TTCTTCACTGGCGGCATAGCGTTTCTCACACTAACATTCAATGGCTCAACAACACAATTT  1511\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1267  TTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATAT  1326\n",
+      "\n",
+      "             ||  ||||  |||||||| |||||||||| || ||| | ||| | || ||||| || |||\n",
+      "\n",
+      "Sbjct  1512  TTGCTACACCTGCTTGGCTTGGACAAACTATCTGCAGCGAAGCTCCGCATATTAAATTAT  1571\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1327  ACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAA  1386\n",
+      "\n",
+      "             |||||| |||||||||  || ||||||||||| || ||||| ||||| |||||||| || \n",
+      "\n",
+      "Sbjct  1572  ACAAGATATGAAATGCAAAATAAAGCATTAGAAGCCTTTGGAGAGCTCAGGGATGACGAG  1631\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1387  GAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTG  1446\n",
+      "\n",
+      "             || || ||||| ||||| |||| ||| |||||||| ||||| | |||||||   ||||| \n",
+      "\n",
+      "Sbjct  1632  GAACTAGGACCCGCTGACTGGGCTACCGTAAAGAAGTATATAAGATGTTTG---GACTTC  1688\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1447  GATGATGAACCAGAGCATCCCCATGACAT---TGACAAGGATAGCCGCATGCATACCATG  1503\n",
+      "\n",
+      "             || ||||| |||| |||||| ||| |  |   ||  |  |||  |  ||||||||| | |\n",
+      "\n",
+      "Sbjct  1689  GACGATGAGCCAGTGCATCCACATCAGGTTTCTGGAACAGATGACTACATGCATACTAGG  1748\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1504  AACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATG  1563\n",
+      "\n",
+      "             ||| ||| ||| || ||||| |||||| |||||||||| || || || || |||||||||\n",
+      "\n",
+      "Sbjct  1749  AACATAAAGGACATTCGAGTCCGGCTTTTGAATGGTGTGCAGGCAGCTTACTGGGGAATG  1808\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1564  CTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAA  1623\n",
+      "\n",
+      "             || |||||||| ||||||| ||||   || || ||||||||||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  1809  CTCGAAGAGGGGCGAATAAATCAAAGCACCGCTAATATTCTGATGAGATCAGTTGATGAA  1868\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1624  GCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTC  1683\n",
+      "\n",
+      "             ||||| || ||| | ||||   | || || || || ||| | |||||| | |||| ||||\n",
+      "\n",
+      "Sbjct  1869  GCTATAGATCTTGTTTCCAAGGAGCCATTGTGCGACTGGAATGGTTTAAAGTCCAGTGTC  1928\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1684  CAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACA  1743\n",
+      "\n",
+      "             |||||||| | ||||||||||||||| |||||||| ||| |||||||||| || || |||\n",
+      "\n",
+      "Sbjct  1929  CAGTTCCCAAGTTACTATAGATTCCTTCAGATGAGTAGGCTGCCACGAAAACTTATAACA  1988\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1744  TACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCT  1803\n",
+      "\n",
+      "              |||||||||| |||||| ||||||| ||||| || || | |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1989  AACTTCACAGTTGAAAGACTGGAGTCTGGATGCTATATCTGTGCTGCATTTCTTCGTGCT  2048\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1804  CACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACT  1863\n",
+      "\n",
+      "             ||||||| |||||||||||| |||||||| || ||||||||||||||||||| ||||| |\n",
+      "\n",
+      "Sbjct  2049  CACAGAATTGCAAGGCGACAACTGCATGACTTCCTTGGTGATAGTGAGGTTGCAAGAATT  2108\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1864  GTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGT  1923\n",
+      "\n",
+      "             ||||| || ||||||||| |||||||||||||||||| ||||||  ||||||||||||| \n",
+      "\n",
+      "Sbjct  2109  GTTATCGACGAAAGTAATTCTGAGGGGGAGGAAGCTAGAAAATTCTTGGAAGATGTTCGA  2168\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1924  GTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTG  1983\n",
+      "\n",
+      "             ||||| ||||| |||||||||| ||| || ||| | || || || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  2169  GTTACATTCCCACAGGTGCTACATGTTCTCAAGACTCGGCAAGTAACATACTCGGTATTG  2228\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1984  ACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAA  2043\n",
+      "\n",
+      "             || ||| | ||||||||| ||||||||||||||||||| ||||||||||| || ||||||\n",
+      "\n",
+      "Sbjct  2229  ACGCACTTAAGTGAGTATGTTCAAAACCTCCAGAAGACTGGGTTGCTGGAAGAGAAGGAA  2288\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2044  ATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCG  2103\n",
+      "\n",
+      "              || | ||| |||||||| ||||||||| |||||| ||||| ||||| | ||| ||||| \n",
+      "\n",
+      "Sbjct  2289  GTGGTTCATCTAGATGATTCTTTGCAGAGAGACTTGAAGAAGTTGAAGACGAAACCACCA  2348\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2104  ATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTG  2163\n",
+      "\n",
+      "               |||||||||||| ||| || |||| ||| ||||||  || |||||||| || || |||\n",
+      "\n",
+      "Sbjct  2349  CCGGTGAAAATGCCCAGATTTAGTGAGCTTCTAAACAATCACCCTTTAGTTGGGGCGCTG  2408\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2164  CCTG---CTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||   | ||    ||||||||||| || ||||| | |||||| |||||| ||| ||||\n",
+      "\n",
+      "Sbjct  2409  CCTGAAACAGT---GCGTGATCCTTTGTTGAGTAACATAAAAGAGACTGTAAGAGCGCAT  2465\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             || || || ||||| |||||||| || ||||| |||||  |||||||||||||  | || \n",
+      "\n",
+      "Sbjct  2466  GGCACAATCCTTTACAAGGAAGGTTCGAGGCCAACTGGCATATGGCTTGTTTCGCTGGGA  2525\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             ||||| |||||| |||| |||||| | ||||| |  |||||| | |||||||||||||| \n",
+      "\n",
+      "Sbjct  2526  GTAGTAAAGTGGACAAGCCAGAGATTGAGCAGAAAACATTCCCTAGATCCAATTTTATCG  2585\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || |||| |||||||||| |||||||||||||| |||| ||||| ||||||||||| |||\n",
+      "\n",
+      "Sbjct  2586  CATGGAAGCACTTTGGGTCTATACGAGGTGCTGGTTGGGAAGCCTTATATTTGTGAGATG  2645\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGT  2460\n",
+      "\n",
+      "              | || |||||||| || |||||||||||||| ||||||||||||||||||| | | |||\n",
+      "\n",
+      "Sbjct  2646  GTGACCGATTCTGTCGTACATTGTTTCTTTGTTGAAGCTGAAAAGATTGAGCGATTACGT  2705\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2461  CAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGG  2520\n",
+      "\n",
+      "             || || ||||| ||||||||| |||||||||||||||||||  | ||||| |||||| ||\n",
+      "\n",
+      "Sbjct  2706  CAGTCAGATCCCTCTATTGAGTTTTTCCTGTGGCAGGAAAGTGCTCTAGTCATTGCCCGG  2765\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2521  CTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCT  2580\n",
+      "\n",
+      "             ||| | || || ||||| |||||||||||| |||||||||| ||||| || ||||| |||\n",
+      "\n",
+      "Sbjct  2766  CTTCTGCTCCCCCAGATCTTTGAGAAAATGTCAATGCATGATATCAGAGTTCTCATCGCT  2825\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2581  GAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTAC  2640\n",
+      "\n",
+      "             |||||||| || || ||||||||||| |  || |||||||| | | | ||| | |   ||\n",
+      "\n",
+      "Sbjct  2826  GAAAGGTCAACAATCAACGTATACATCAGAGGGGAAGACATAGGAATTGAGCAGAACCAC  2885\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2641  ATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCA  2700\n",
+      "\n",
+      "              |||| ||| |||||||||||| | ||| || ||||    ||||  | |||| |||||||\n",
+      "\n",
+      "Sbjct  2886  GTTGGTATTTTGCTGGAAGGATATCTGAGGAGCAAGGACGAAAACTTGATCAAACCTCCA  2945\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2701  GCGGTGCTGCTTCCATCGAATATCAACTTAGCCCT-ATTTGGTCTTGAATCTTCAGCTAT  2759\n",
+      "\n",
+      "             | | | ||||| ||| ||||| ||   || | | |  ||||||||||| || |||||  |\n",
+      "\n",
+      "Sbjct  2946  GGGATCCTGCTGCCAGCGAAT-TCGGATTGGACTTCGTTTGGTCTTGAGTCGTCAGCCGT  3004\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2760  GAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGAT  2819\n",
+      "\n",
+      "             ||| ||||| |||||||| ||  |||| ||||  ||||| |||||  | ||||| |||||\n",
+      "\n",
+      "Sbjct  3005  GAATCATGTTGACTACTGTTACGCTGCACCCATCTATCAGGTGGATTCCAGAGCTAGGAT  3064\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2820  TATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATC  2879\n",
+      "\n",
+      "             | |  | |||||||||| ||||    | ||   ||| |  || || || ||||||| |||\n",
+      "\n",
+      "Sbjct  3065  TCTGATATTTGAAATAGTAAGG---ACGGAAACAGAAGGCGAAATGCAAAGAAGCGTATC  3121\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2880  TTTGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCT  2939\n",
+      "\n",
+      "             | |  |||| || ||||||||||| |  ||||||| | |||||||||||||   | | ||\n",
+      "\n",
+      "Sbjct  3122  TCTACTGTCGCAAACCCATGAACCACAACGGACACCGGGCAAAGAGCATAGCAATTTACT  3181\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2940  CAGTTGGCCAGAAAGCTTCCGAAG----------ATCCCGAGCT----------------  2973\n",
+      "\n",
+      "             ||| |||||  |||||||| | ||          ||||| || |                \n",
+      "\n",
+      "Sbjct  3182  CAGCTGGCCGCAAAGCTTCAGGAGGAGGGATAGCATCCCAAGGTCCCCAAGGCGTCCGAA  3241\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2974  -------------GAAATCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCT  3020\n",
+      "\n",
+      "                          |||||||||| ||| |||   ||| ||||| | | |||||||||| |\n",
+      "\n",
+      "Sbjct  3242  TGCAAGCTTAAGCGAAATCAGAAACCATCCGAATAGCTTCTCTTCTAAAGCCCTGCAGTT  3301\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3021  GAGCATGTACGGAAGCATGATGGTTGACATGCACTCAGGTCAGGGCCAGAGGCGGCAGCG  3080\n",
+      "\n",
+      "             ||||||||||||| ||||||| | ||||| |  | | |||      |||||||||||| |\n",
+      "\n",
+      "Sbjct  3302  GAGCATGTACGGAGGCATGATCGATGACACGTTCACCGGT------CAGAGGCGGCAGAG  3355\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3081  GCATCGTCGCATGCAGGCAACCAACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTC  3140\n",
+      "\n",
+      "             |  |||||   ||| |||||| | |  ||  || ||||| ||||| || ||| |||||||\n",
+      "\n",
+      "Sbjct  3356  GAGTCGTC---TGCTGGCAACGAGCCAGACACATAGCTCATCCTACCCGAGACTGCCTTC  3412\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3141  AAGACAAGCC-------AACACGCGGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACA  3193\n",
+      "\n",
+      "             || | | |||       ||||| |||||||| |||  ||| |  ||||| |||| |||||\n",
+      "\n",
+      "Sbjct  3413  AACA-AGGCCGCCGAGTAACACACGGCCTCTCCTCCACGTGCGCTCGGAAGGTTCCAACA  3471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3194  TGAACAG  3200\n",
+      "\n",
+      "             |||| ||\n",
+      "\n",
+      "Sbjct  3472  TGAAAAG  3478\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 52.7 bits (57),  Expect = 0.22\n",
+      "\n",
+      " Identities = 54/71 (76%), Gaps = 0/71 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3268  TCAAGCGACGAGTCTGCAGGGGAGGAAGTCATCGTCCGAGTCGACTCCCCTAGCATGCTG  3327\n",
+      "\n",
+      "             |||  ||||||| | ||  |||| |||| | | |||  ||||||||| || |||||||||\n",
+      "\n",
+      "Sbjct  3558  TCACCCGACGAGGCCGCGAGGGATGAAGCCGTTGTCACAGTCGACTCTCCAAGCATGCTG  3617\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3328  TCTTTTCGTCA  3338\n",
+      "\n",
+      "             ||| | | |||\n",
+      "\n",
+      "Sbjct  3618  TCTGTCCCTCA  3628\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_020316905.1 PREDICTED: Aegilops tauschii subsp. tauschii sodium/hydrogen \n",
+      "\n",
+      "exchanger 8-like (LOC109758065), transcript variant X3, mRNA\n",
+      "\n",
+      "Length=4065\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2352 bits (2608),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2226/2834 (79%), Gaps = 10/2834 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  13    GATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGC  72\n",
+      "\n",
+      "             || || ||||| || ||||||||||  |  || || || ||| ||||   |||||  |||\n",
+      "\n",
+      "Sbjct  267   GAGCCCGACGACGCCGTGCTCTTCGCCGGCGTGTCCCTCGTGTTGGGTGCCGCCTGCCGC  326\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  73    CACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCC  132\n",
+      "\n",
+      "             |||||  |||| ||||| ||||||||||||||| | ||||| ||  |||| || ||||| \n",
+      "\n",
+      "Sbjct  327   CACCTCTTCCGCGGCACGCGCGTCCCCTACACCATCGCCCTCCTTGTCCTTGGTGTTGCT  386\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  133   CTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGT  192\n",
+      "\n",
+      "             || || || || || | ||| ||   | | ||||| |||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  387   CTAGGGTCACTAGAGTACGGGACAAAAGACGGTCTAGGCAAACTTGGAGCTGGCATGCGT  446\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  193   ATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTC  252\n",
+      "\n",
+      "             || |||||||||||||| |||||||||||  |||||| ||| || || ||||| ||||| \n",
+      "\n",
+      "Sbjct  447   ATCTGGGCTAACATAAATCCTGATCTTCTCCTGGCTGCTTTCCTTCCGGCCCTTTTGTTT  506\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  253   GAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTG  312\n",
+      "\n",
+      "             || ||| | || || |||||    ||||| || |||| ||| ||||| |||||| |  | \n",
+      "\n",
+      "Sbjct  507   GAGAGCGCCTTCTCGATGGAAGCACACCAGATAAAGAAATGCATGGCGCAGATGCTCTTA  566\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  313   CTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACT  372\n",
+      "\n",
+      "             |||||||| || |||||  | || |||||| |||| |||||||||  | | ||| |||||\n",
+      "\n",
+      "Sbjct  567   CTTGCTGGCCCTGGTGTGCTAATGTCAACATTTTTGCTTGGCACTGCTCTCAAGCTTACT  626\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  373   TTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACT  432\n",
+      "\n",
+      "             | ||||||  | |||| |||| ||  |||||||||||||||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  627   TCTCCATATGATTGGAACTGGGAAACATCATTGTTGCTTGGTGGTCTGCTTAGTGCCACT  686\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  433   GATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACA  492\n",
+      "\n",
+      "             |||||||| || ||||||||| | |||||||| |||||| ||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  687   GATCCTGTGGCCGTGGTTGCAGTTCTAAAAGAGCTTGGAACAAGTAAAAAGCTCAGTACG  746\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  493   ATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTT  552\n",
+      "\n",
+      "             || |||||||| |||||  | ||||||||||||  | || |||||||||||||  |||| \n",
+      "\n",
+      "Sbjct  747   ATTATTGAGGGAGAATCCTTGATGAACGATGGGGTTTCTGTTGTTGTCTATCAGTTATTC  806\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  553   TTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAA  612\n",
+      "\n",
+      "             |||| ||||||||||||||||| |||  || | || || ||  | | |||||||| ||||\n",
+      "\n",
+      "Sbjct  807   TTACAAATGGTGCTCGGAAGAAGCTTCAATACAGGGTCTATATTGATGTTCTTATCGGAA  866\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  613   GTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTG  672\n",
+      "\n",
+      "             ||| | ||||| ||||||||| ||||||||||||| | |||  ||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  867   GTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGCAATCATATCATTACTATGGCTT  926\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  673   GGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATA  732\n",
+      "\n",
+      "             ||||||| ||| || ||||||||| | |||||  | || |||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  927   GGCTTTACTTTCAACGATACAATCTTGGAGATGACGCTAACTCTTGCTGTCAGCTATATT  986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  733   GCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTG  792\n",
+      "\n",
+      "             |||||||  ||||  |||||| | ||| ||   |||||| ||||| | ||||   | |||\n",
+      "\n",
+      "Sbjct  987   GCTTTCTATACTGTGCAAGATGCACTGAAGTACTCTGGTATTTTGACCGTCACAGCTTTG  1046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  793   GGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTA  852\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||  |||| ||||| || |  |    |||||| \n",
+      "\n",
+      "Sbjct  1047  GGAATGTTCTATGCAGCTTTTGCAAAAACTACTTTTAAGGGCGACAATCGCCGAAGTTTG  1106\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  853   CATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGG  912\n",
+      "\n",
+      "             ||| |||| |||||||| ||||||||||| || || ||  ||||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  1107  CATGATTTCTGGGAAATAGTTGCTTACATTGCGAACACAATTATTTTCATACTGAGTGGG  1166\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  913   GTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCT  972\n",
+      "\n",
+      "             ||  |||||||||||||||| |||  | ||||||| |||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  1167  GTTATTATTGCAGATGGTGTGCTAAGACATAATGTCCATTTTGAGAGGCACGGCACTTCA  1226\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  973   TGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGT  1032\n",
+      "\n",
+      "             ||||| || ||||||||||| ||| ||| ||| | |||  | || | || |||||| |||\n",
+      "\n",
+      "Sbjct  1227  TGGGGGTTTCTTCTTCTGCTCTATTTCTATGTACAAATGGCACGGGCTGCAGTTGTCGGT  1286\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1033  GTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATT  1092\n",
+      "\n",
+      "             | | | ||||  |||||| |   ||| ||||||||||||||||| ||||| |||||||| \n",
+      "\n",
+      "Sbjct  1287  GCTCTATATCTTTTGTTGCGCTACTTCGGGTATGGTTTGGACTTCAAAGAAGCCATAATC  1346\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1093  CTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGT  1152\n",
+      "\n",
+      "              |||| ||||| |||||| |||| |||||| | |||||| || || | ||||||||||||\n",
+      "\n",
+      "Sbjct  1347  ATTGTTTGGTCTGGGCTGCGAGGTGCTGTTTCCCTATCATTAGCACTGTCTGTTAAACGT  1406\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1153  ACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTC  1212\n",
+      "\n",
+      "              | |||||| |||  ||| ||| |||| |||||||||| |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1407  GCTAGTGATACAGCTCAACCTTTTCTGAAACCAGAAGTGGGAACAATGTTTGTGTTCTTC  1466\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1213  ACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTA  1272\n",
+      "\n",
+      "             ||||||||||| |||||||||||  ||||  | |||||||| |||||||||||||| || \n",
+      "\n",
+      "Sbjct  1467  ACTGGTGGCATCGTGTTTCTGACCCTGATATTGAATGGTTCTACCACACAATTTTTGTTG  1526\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1273  CATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGA  1332\n",
+      "\n",
+      "             ||    ||||| |||||||| ||||||| ||||||| |||| || | ||| ||| | |||\n",
+      "\n",
+      "Sbjct  1527  CACGCACTTGGTATGGACAACCTGTCAGTAACAAAGCTTCGCATGTCGAATTATGCTAGA  1586\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1333  CATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTT  1392\n",
+      "\n",
+      "             |||||||| || |||||  ||||||| ||||||||||| || |  |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1587  CATGAAATTCTAAACAAGACATTAGAAGCTTTTGGTGATCTCAAAGATGATGAGGAGCTT  1646\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1393  GGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGAT  1452\n",
+      "\n",
+      "             || |||||||| |||||||| || ||||||||||| ||| | |||  | ||||||| |||\n",
+      "\n",
+      "Sbjct  1647  GGTCCTGCTGACTGGGTTACAGTTAAGAAATATATCACAGGCTTGAGTAACTTGGAAGAT  1706\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1453  GAACCAGAGCATCCCCATGACATTGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             ||||  |  ||||| |||||   ||||||  ||   | ||| |||||||||||  |||||\n",
+      "\n",
+      "Sbjct  1707  GAACATGCACATCCACATGA---TGACAATCATGATCACATACATACCATGAATTTAAGG  1763\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             |||  |||||| || ||| |||||||||| |||||    || |||| ||||||||| |||\n",
+      "\n",
+      "Sbjct  1764  GATGGCCGAGTGCGTCTTTTGAATGGTGTGCAAGCCAGTTACTGGGCAATGCTTGACGAG  1823\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||| ||||||||||||||||| |||||| ||||| |||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1824  GGACGGATAACTCAAGCTACAGCCAATATTTTGATGCGATCAGTTGATGAAGCTATGGAT  1883\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| | || || | ||| ||||| |||||| |  |||| || ||||||||| | ||||| \n",
+      "\n",
+      "Sbjct  1884  CTTGTTTCTAGCCGACCATTATGCGATTGGAACAGTTTGCAGTCCAATGTCTATTTCCCA  1943\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             | ||||||||| |||||       |||| ||| |||| ||   | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1944  AGTTACTATAGGTTCCTTTCTGCAAGCATGTTACCACAAAGTTTTATCACATACTTCACA  2003\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||| |||||||||||||||| |||||||| | ||||||||||||||||||||| |||| |\n",
+      "\n",
+      "Sbjct  2004  GTACAAAGATTGGAGTCAGGGTGTTACATCTGTGCTGCATTTCTTCGTGCTCATAGAATT  2063\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             |||||| |||| || || ||||||||||||||||||||| ||| || || ||||||||||\n",
+      "\n",
+      "Sbjct  2064  GCAAGGAGACAACTACAAGATTTTCTTGGTGATAGTGAGATTGCAAAAATTGTTATTGAT  2123\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||||||||| ||| |||||||||| ||| ||  ||||||| |||||   ||| |||\n",
+      "\n",
+      "Sbjct  2124  GAAAGTAATGCTGGGGGAGAGGAAGCTAGAAAGTTCTTGGAAGAAGTTCGCTGTACATTC  2183\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || ||| | ||  ||||||||||  | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  2184  CCTCAGCTTCTTTGTGTGCTAAAAACTCGACAAGTAACATATGCGGTATTGACACACTTG  2243\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             |||||| || ||||||||||   |||||| ||||| ||||| ||||| ||||||   |||\n",
+      "\n",
+      "Sbjct  2244  AGTGAGAATGTTCAAAACCTATGGAAGACTGGGTTACTGGAAGAAAAAGAAATGGCACAT  2303\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCACCGATGGTGAAA  2112\n",
+      "\n",
+      "              | |||||||||| |||||||||  | |||||  | || |||| |||||   | ||||||\n",
+      "\n",
+      "Sbjct  2304  CTGGATGATGCTTGGCAGACAGATCTCAAGAAGCTTAAGAGGAGTCCACAATTAGTGAAA  2363\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2113  ATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCACTGCCTGCTGTC  2172\n",
+      "\n",
+      "             |||||||||||| | |||||||||  | | ||||| |||||  |    ||||||||||  \n",
+      "\n",
+      "Sbjct  2364  ATGCCAAGAGTTAGCGATCTTTTAGGCGCTCATCCATTAGTCAGCATGCTGCCTGCTGCT  2423\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2173  ACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATGGTACGATTCTT  2232\n",
+      "\n",
+      "                |||| |||||| ||||| ||||||||||||| ||||  |||||||||  |    |||\n",
+      "\n",
+      "Sbjct  2424  GTGCGTGCTCCTTTGTTAAGCAATACAAAAGAAAATGTAAAAGGGCATGGGGCAGCCCTT  2483\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2233  TATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTGTAGTGAAGTGG  2292\n",
+      "\n",
+      "             |||| |||||||| |||  | |||||| ||||| ||||||| || || | ||| ||||||\n",
+      "\n",
+      "Sbjct  2484  TATATGGAAGGCTTAAGAGCAACTGGTATATGGATTGTTTCGATCGGAGCAGTAAAGTGG  2543\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2293  GCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCACACGGAAACACT  2352\n",
+      "\n",
+      "               ||||||||| ||||||||||||||||| ||| | |||||||| ||||| |||| ||||\n",
+      "\n",
+      "Sbjct  2544  AGAAGTCAGAGGCTAAGCAGCAGGCATTCTTTGCACCCAATTTTCTCACATGGAAGCACT  2603\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2353  TTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGATTACAGATTCT  2412\n",
+      "\n",
+      "             |||||| ||||||||||||| |  |||||| | | | | ||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  2604  TTGGGTCTATACGAGGTGCTAACAGGAAAGTCTTGTCTCTGTGACATGATTACAGATTCT  2663\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2413  GTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTCAATCGGATCCT  2472\n",
+      "\n",
+      "              | || |  ||||||||  | |||||||||||||| || ||| | ||||| || ||||||\n",
+      "\n",
+      "Sbjct  2664  CTCGTCCGCTGTTTCTTCATTGAAGCTGAAAAGATAGATCAATTGCGTCAGTCAGATCCT  2723\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2473  TCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGCTTTTACTTCCT  2532\n",
+      "\n",
+      "             ||| |||||| ||| ||||||||||||||  |   ||| ||||| | ||| ||  | || \n",
+      "\n",
+      "Sbjct  2724  TCTGTTGAGGCTTTTCTGTGGCAGGAAAGTGCTGCAGTCATTGCTAAGCTCTTGATCCCA  2783\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2533  CAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT-TGCTGAAAGG-TCGA  2590\n",
+      "\n",
+      "             |   | || |||| |||| ||||||| ||||   || | ||| |  ||  | ||| ||  \n",
+      "\n",
+      "Sbjct  2784  CGTGTGTTCGAGAGAATGACAATGCAAGAGACACGGCTTCTCGTCAGC--ACAGGATCTG  2841\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2591  CTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACATTGGCATTC  2650\n",
+      "\n",
+      "             |||||||| | ||||  ||||| ||||||||   ||| ||| | | |||||| |||||  \n",
+      "\n",
+      "Sbjct  2842  CTATGAACTTGTACACCAAGGGCGAAGACATCATACTCGAGCATAATTACATCGGCATCT  2901\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2651  TGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAGCGGTGCTGC  2710\n",
+      "\n",
+      "             | || ||||||  ||||||| |  |||  ||||||  ||||   |||||||  |||||||\n",
+      "\n",
+      "Sbjct  2902  TACTAGAAGGAACTTTGAAGGCGGAGAACCAAAATAACATCGTTCCTCCAGGAGTGCTGC  2961\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2711  TTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGAACCATGTGG  2770\n",
+      "\n",
+      "             | ||||| |  ||  || | |   || |||||||  | |||||||  ||||||||| |||\n",
+      "\n",
+      "Sbjct  2962  TGCCATCAAGCATGGACCTGGAGTTACTTGGTCTGCAGTCTTCAGAAATGAACCATATGG  3021\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2771  ACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGG--CGAG-AGCAAGGATTATCTTCT  2827\n",
+      "\n",
+      "             ||   ||||   | ||   ||| ||||| ||||| |  | || ||| ||  ||||| |||\n",
+      "\n",
+      "Sbjct  3022  ACAGTTGCTCCGCAGCAAACAGCTATCAGGTGGAAGCACAAGCAGCTAGAGTTATCATCT  3081\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2828  TTGAAATAGGAAGG  2841\n",
+      "\n",
+      "             | ||| |||| |||\n",
+      "\n",
+      "Sbjct  3082  TCGAAGTAGGGAGG  3095\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_020316904.1 PREDICTED: Aegilops tauschii subsp. tauschii sodium/hydrogen \n",
+      "\n",
+      "exchanger 8-like (LOC109758065), transcript variant X2, mRNA\n",
+      "\n",
+      "Length=4121\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2321 bits (2573),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2226/2849 (78%), Gaps = 25/2849 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  13    GATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGC  72\n",
+      "\n",
+      "             || || ||||| || ||||||||||  |  || || || ||| ||||   |||||  |||\n",
+      "\n",
+      "Sbjct  304   GAGCCCGACGACGCCGTGCTCTTCGCCGGCGTGTCCCTCGTGTTGGGTGCCGCCTGCCGC  363\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  73    CACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCC  132\n",
+      "\n",
+      "             |||||  |||| ||||| ||||||||||||||| | ||||| ||  |||| || ||||| \n",
+      "\n",
+      "Sbjct  364   CACCTCTTCCGCGGCACGCGCGTCCCCTACACCATCGCCCTCCTTGTCCTTGGTGTTGCT  423\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  133   CTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGT  192\n",
+      "\n",
+      "             || || || || || | ||| ||   | | ||||| |||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  424   CTAGGGTCACTAGAGTACGGGACAAAAGACGGTCTAGGCAAACTTGGAGCTGGCATGCGT  483\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  193   ATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTC  252\n",
+      "\n",
+      "             || |||||||||||||| |||||||||||  |||||| ||| || || ||||| ||||| \n",
+      "\n",
+      "Sbjct  484   ATCTGGGCTAACATAAATCCTGATCTTCTCCTGGCTGCTTTCCTTCCGGCCCTTTTGTTT  543\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  253   GAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTG  312\n",
+      "\n",
+      "             || ||| | || || |||||    ||||| || |||| ||| ||||| |||||| |  | \n",
+      "\n",
+      "Sbjct  544   GAGAGCGCCTTCTCGATGGAAGCACACCAGATAAAGAAATGCATGGCGCAGATGCTCTTA  603\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  313   CTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACT  372\n",
+      "\n",
+      "             |||||||| || |||||  | || |||||| |||| |||||||||  | | ||| |||||\n",
+      "\n",
+      "Sbjct  604   CTTGCTGGCCCTGGTGTGCTAATGTCAACATTTTTGCTTGGCACTGCTCTCAAGCTTACT  663\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  373   TTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACT  432\n",
+      "\n",
+      "             | ||||||  | |||| |||| ||  |||||||||||||||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  664   TCTCCATATGATTGGAACTGGGAAACATCATTGTTGCTTGGTGGTCTGCTTAGTGCCACT  723\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  433   GATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACA  492\n",
+      "\n",
+      "             |||||||| || ||||||||| | |||||||| |||||| ||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  724   GATCCTGTGGCCGTGGTTGCAGTTCTAAAAGAGCTTGGAACAAGTAAAAAGCTCAGTACG  783\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  493   ATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTT  552\n",
+      "\n",
+      "             || |||||||| |||||  | ||||||||||||  | || |||||||||||||  |||| \n",
+      "\n",
+      "Sbjct  784   ATTATTGAGGGAGAATCCTTGATGAACGATGGGGTTTCTGTTGTTGTCTATCAGTTATTC  843\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  553   TTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAA  612\n",
+      "\n",
+      "             |||| ||||||||||||||||| |||  || | || || ||  | | |||||||| ||||\n",
+      "\n",
+      "Sbjct  844   TTACAAATGGTGCTCGGAAGAAGCTTCAATACAGGGTCTATATTGATGTTCTTATCGGAA  903\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  613   GTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTG  672\n",
+      "\n",
+      "             ||| | ||||| ||||||||| ||||||||||||| | |||  ||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  904   GTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGCAATCATATCATTACTATGGCTT  963\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  673   GGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATA  732\n",
+      "\n",
+      "             ||||||| ||| || ||||||||| | |||||  | || |||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  964   GGCTTTACTTTCAACGATACAATCTTGGAGATGACGCTAACTCTTGCTGTCAGCTATATT  1023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  733   GCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTG  792\n",
+      "\n",
+      "             |||||||  ||||  |||||| | ||| ||   |||||| ||||| | ||||   | |||\n",
+      "\n",
+      "Sbjct  1024  GCTTTCTATACTGTGCAAGATGCACTGAAGTACTCTGGTATTTTGACCGTCACAGCTTTG  1083\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  793   GGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTA  852\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||  |||| ||||| || |  |    |||||| \n",
+      "\n",
+      "Sbjct  1084  GGAATGTTCTATGCAGCTTTTGCAAAAACTACTTTTAAGGGCGACAATCGCCGAAGTTTG  1143\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  853   CATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGG  912\n",
+      "\n",
+      "             ||| |||| |||||||| ||||||||||| || || ||  ||||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  1144  CATGATTTCTGGGAAATAGTTGCTTACATTGCGAACACAATTATTTTCATACTGAGTGGG  1203\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  913   GTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCT  972\n",
+      "\n",
+      "             ||  |||||||||||||||| |||  | ||||||| |||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  1204  GTTATTATTGCAGATGGTGTGCTAAGACATAATGTCCATTTTGAGAGGCACGGCACTTCA  1263\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  973   TGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGT  1032\n",
+      "\n",
+      "             ||||| || ||||||||||| ||| ||| ||| | |||  | || | || |||||| |||\n",
+      "\n",
+      "Sbjct  1264  TGGGGGTTTCTTCTTCTGCTCTATTTCTATGTACAAATGGCACGGGCTGCAGTTGTCGGT  1323\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1033  GTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATT  1092\n",
+      "\n",
+      "             | | | ||||  |||||| |   ||| ||||||||||||||||| ||||| |||||||| \n",
+      "\n",
+      "Sbjct  1324  GCTCTATATCTTTTGTTGCGCTACTTCGGGTATGGTTTGGACTTCAAAGAAGCCATAATC  1383\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1093  CTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGT  1152\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              |||| ||||| |||||| |||| |||||| | |||||| || || | ||||||||||||\n",
+      "\n",
+      "Sbjct  1384  ATTGTTTGGTCTGGGCTGCGAGGTGCTGTTTCCCTATCATTAGCACTGTCTGTTAAACGT  1443\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1153  ACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTC  1212\n",
+      "\n",
+      "              | |||||| |||  ||| ||| |||| |||||||||| |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1444  GCTAGTGATACAGCTCAACCTTTTCTGAAACCAGAAGTGGGAACAATGTTTGTGTTCTTC  1503\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1213  ACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTA  1272\n",
+      "\n",
+      "             ||||||||||| |||||||||||  ||||  | |||||||| |||||||||||||| || \n",
+      "\n",
+      "Sbjct  1504  ACTGGTGGCATCGTGTTTCTGACCCTGATATTGAATGGTTCTACCACACAATTTTTGTTG  1563\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1273  CATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGA  1332\n",
+      "\n",
+      "             ||    ||||| |||||||| ||||||| ||||||| |||| || | ||| ||| | |||\n",
+      "\n",
+      "Sbjct  1564  CACGCACTTGGTATGGACAACCTGTCAGTAACAAAGCTTCGCATGTCGAATTATGCTAGA  1623\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1333  CATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTT  1392\n",
+      "\n",
+      "             |||||||| || |||||  ||||||| ||||||||||| || |  |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1624  CATGAAATTCTAAACAAGACATTAGAAGCTTTTGGTGATCTCAAAGATGATGAGGAGCTT  1683\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1393  GGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGAT  1452\n",
+      "\n",
+      "             || |||||||| |||||||| || ||||||||||| ||| | |||  | ||||||| |||\n",
+      "\n",
+      "Sbjct  1684  GGTCCTGCTGACTGGGTTACAGTTAAGAAATATATCACAGGCTTGAGTAACTTGGAAGAT  1743\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1453  GAACCAGAGCATCCCCATGACATTGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             ||||  |  ||||| |||||   ||||||  ||   | ||| |||||||||||  |||||\n",
+      "\n",
+      "Sbjct  1744  GAACATGCACATCCACATGA---TGACAATCATGATCACATACATACCATGAATTTAAGG  1800\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             |||  |||||| || ||| |||||||||| |||||    || |||| ||||||||| |||\n",
+      "\n",
+      "Sbjct  1801  GATGGCCGAGTGCGTCTTTTGAATGGTGTGCAAGCCAGTTACTGGGCAATGCTTGACGAG  1860\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||| ||||||||||||||||| |||||| ||||| |||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1861  GGACGGATAACTCAAGCTACAGCCAATATTTTGATGCGATCAGTTGATGAAGCTATGGAT  1920\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| | || || | ||| ||||| |||||| |  |||| || ||||||||| | ||||| \n",
+      "\n",
+      "Sbjct  1921  CTTGTTTCTAGCCGACCATTATGCGATTGGAACAGTTTGCAGTCCAATGTCTATTTCCCA  1980\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             | ||||||||| |||||       |||| ||| |||| ||   | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1981  AGTTACTATAGGTTCCTTTCTGCAAGCATGTTACCACAAAGTTTTATCACATACTTCACA  2040\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||| |||||||||||||||| |||||||| | ||||||||||||||||||||| |||| |\n",
+      "\n",
+      "Sbjct  2041  GTACAAAGATTGGAGTCAGGGTGTTACATCTGTGCTGCATTTCTTCGTGCTCATAGAATT  2100\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             |||||| |||| || || ||||||||||||||||||||| ||| || || ||||||||||\n",
+      "\n",
+      "Sbjct  2101  GCAAGGAGACAACTACAAGATTTTCTTGGTGATAGTGAGATTGCAAAAATTGTTATTGAT  2160\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||||||||| ||| |||||||||| ||| ||  ||||||| |||||   ||| |||\n",
+      "\n",
+      "Sbjct  2161  GAAAGTAATGCTGGGGGAGAGGAAGCTAGAAAGTTCTTGGAAGAAGTTCGCTGTACATTC  2220\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || ||| | ||  ||||||||||  | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  2221  CCTCAGCTTCTTTGTGTGCTAAAAACTCGACAAGTAACATATGCGGTATTGACACACTTG  2280\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             |||||| || ||||||||||   |||||| ||||| ||||| ||||| ||||||   |||\n",
+      "\n",
+      "Sbjct  2281  AGTGAGAATGTTCAAAACCTATGGAAGACTGGGTTACTGGAAGAAAAAGAAATGGCACAT  2340\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTG---------------CAGACAGACTTAAAGAAATTGAAAAGGAAT  2097\n",
+      "\n",
+      "              | |||||||||| |               ||||||||  | |||||  | || |||| |\n",
+      "\n",
+      "Sbjct  2341  CTGGATGATGCTTGGCAGTTAATCACTTGTCAGACAGATCTCAAGAAGCTTAAGAGGAGT  2400\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2098  CCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGT  2157\n",
+      "\n",
+      "             ||||   | |||||||||||||||||| | |||||||||  | | ||||| |||||  | \n",
+      "\n",
+      "Sbjct  2401  CCACAATTAGTGAAAATGCCAAGAGTTAGCGATCTTTTAGGCGCTCATCCATTAGTCAGC  2460\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2158  GCACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGG  2217\n",
+      "\n",
+      "                ||||||||||     |||| |||||| ||||| ||||||||||||| ||||  ||||\n",
+      "\n",
+      "Sbjct  2461  ATGCTGCCTGCTGCTGTGCGTGCTCCTTTGTTAAGCAATACAAAAGAAAATGTAAAAGGG  2520\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2218  CATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATA  2277\n",
+      "\n",
+      "             |||||  |    ||||||| |||||||| |||  | |||||| ||||| ||||||| || \n",
+      "\n",
+      "Sbjct  2521  CATGGGGCAGCCCTTTATATGGAAGGCTTAAGAGCAACTGGTATATGGATTGTTTCGATC  2580\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2278  GGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTA  2337\n",
+      "\n",
+      "             || | ||| ||||||  ||||||||| ||||||||||||||||| ||| | |||||||| \n",
+      "\n",
+      "Sbjct  2581  GGAGCAGTAAAGTGGAGAAGTCAGAGGCTAAGCAGCAGGCATTCTTTGCACCCAATTTTC  2640\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2338  TCACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGAT  2397\n",
+      "\n",
+      "             ||||| |||| |||||||||| ||||||||||||| |  |||||| | | | | ||||| \n",
+      "\n",
+      "Sbjct  2641  TCACATGGAAGCACTTTGGGTCTATACGAGGTGCTAACAGGAAAGTCTTGTCTCTGTGAC  2700\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2398  ATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTT  2457\n",
+      "\n",
+      "             ||||||||||||||| | || |  ||||||||  | |||||||||||||| || ||| | \n",
+      "\n",
+      "Sbjct  2701  ATGATTACAGATTCTCTCGTCCGCTGTTTCTTCATTGAAGCTGAAAAGATAGATCAATTG  2760\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "             ||||| || ||||||||| |||||| ||| ||||||||||||||  |   ||| ||||| \n",
+      "\n",
+      "Sbjct  2761  CGTCAGTCAGATCCTTCTGTTGAGGCTTTTCTGTGGCAGGAAAGTGCTGCAGTCATTGCT  2820\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT-  2576\n",
+      "\n",
+      "             | ||| ||  | || |   | || |||| |||| ||||||| ||||   || | ||| | \n",
+      "\n",
+      "Sbjct  2821  AAGCTCTTGATCCCACGTGTGTTCGAGAGAATGACAATGCAAGAGACACGGCTTCTCGTC  2880\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGG-TCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACA  2635\n",
+      "\n",
+      "              ||  | ||| ||  |||||||| | ||||  ||||| ||||||||   ||| ||| | |\n",
+      "\n",
+      "Sbjct  2881  AGC--ACAGGATCTGCTATGAACTTGTACACCAAGGGCGAAGACATCATACTCGAGCATA  2938\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2636  GTTACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACAC  2695\n",
+      "\n",
+      "              |||||| |||||  | || ||||||  ||||||| |  |||  ||||||  ||||   |\n",
+      "\n",
+      "Sbjct  2939  ATTACATCGGCATCTTACTAGAAGGAACTTTGAAGGCGGAGAACCAAAATAACATCGTTC  2998\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2696  CTCCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAG  2755\n",
+      "\n",
+      "             ||||||  |||||||| ||||| |  ||  || | |   || |||||||  | |||||||\n",
+      "\n",
+      "Sbjct  2999  CTCCAGGAGTGCTGCTGCCATCAAGCATGGACCTGGAGTTACTTGGTCTGCAGTCTTCAG  3058\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2756  CTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGG--CGAG-AG  2812\n",
+      "\n",
+      "               ||||||||| |||||   ||||   | ||   ||| ||||| ||||| |  | || ||\n",
+      "\n",
+      "Sbjct  3059  AAATGAACCATATGGACAGTTGCTCCGCAGCAAACAGCTATCAGGTGGAAGCACAAGCAG  3118\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2813  CAAGGATTATCTTCTTTGAAATAGGAAGG  2841\n",
+      "\n",
+      "             | ||  ||||| |||| ||| |||| |||\n",
+      "\n",
+      "Sbjct  3119  CTAGAGTTATCATCTTCGAAGTAGGGAGG  3147\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_020316903.1 PREDICTED: Aegilops tauschii subsp. tauschii sodium/hydrogen \n",
+      "\n",
+      "exchanger 8-like (LOC109758065), transcript variant X1, mRNA\n",
+      "\n",
+      "Length=4083\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2321 bits (2573),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2226/2849 (78%), Gaps = 25/2849 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  13    GATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTCGCGC  72\n",
+      "\n",
+      "             || || ||||| || ||||||||||  |  || || || ||| ||||   |||||  |||\n",
+      "\n",
+      "Sbjct  268   GAGCCCGACGACGCCGTGCTCTTCGCCGGCGTGTCCCTCGTGTTGGGTGCCGCCTGCCGC  327\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  73    CACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGTTGCC  132\n",
+      "\n",
+      "             |||||  |||| ||||| ||||||||||||||| | ||||| ||  |||| || ||||| \n",
+      "\n",
+      "Sbjct  328   CACCTCTTCCGCGGCACGCGCGTCCCCTACACCATCGCCCTCCTTGTCCTTGGTGTTGCT  387\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  133   CTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCATTCGT  192\n",
+      "\n",
+      "             || || || || || | ||| ||   | | ||||| |||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  388   CTAGGGTCACTAGAGTACGGGACAAAAGACGGTCTAGGCAAACTTGGAGCTGGCATGCGT  447\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  193   ATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTTGTTC  252\n",
+      "\n",
+      "             || |||||||||||||| |||||||||||  |||||| ||| || || ||||| ||||| \n",
+      "\n",
+      "Sbjct  448   ATCTGGGCTAACATAAATCCTGATCTTCTCCTGGCTGCTTTCCTTCCGGCCCTTTTGTTT  507\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  253   GAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGTGCTG  312\n",
+      "\n",
+      "             || ||| | || || |||||    ||||| || |||| ||| ||||| |||||| |  | \n",
+      "\n",
+      "Sbjct  508   GAGAGCGCCTTCTCGATGGAAGCACACCAGATAAAGAAATGCATGGCGCAGATGCTCTTA  567\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  313   CTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGTTACT  372\n",
+      "\n",
+      "             |||||||| || |||||  | || |||||| |||| |||||||||  | | ||| |||||\n",
+      "\n",
+      "Sbjct  568   CTTGCTGGCCCTGGTGTGCTAATGTCAACATTTTTGCTTGGCACTGCTCTCAAGCTTACT  627\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  373   TTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGCAACT  432\n",
+      "\n",
+      "             | ||||||  | |||| |||| ||  |||||||||||||||||| || |||||||| |||\n",
+      "\n",
+      "Sbjct  628   TCTCCATATGATTGGAACTGGGAAACATCATTGTTGCTTGGTGGTCTGCTTAGTGCCACT  687\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  433   GATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAGTACA  492\n",
+      "\n",
+      "             |||||||| || ||||||||| | |||||||| |||||| ||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  688   GATCCTGTGGCCGTGGTTGCAGTTCTAAAAGAGCTTGGAACAAGTAAAAAGCTCAGTACG  747\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  493   ATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACTATTT  552\n",
+      "\n",
+      "             || |||||||| |||||  | ||||||||||||  | || |||||||||||||  |||| \n",
+      "\n",
+      "Sbjct  748   ATTATTGAGGGAGAATCCTTGATGAACGATGGGGTTTCTGTTGTTGTCTATCAGTTATTC  807\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  553   TTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATTGGAA  612\n",
+      "\n",
+      "             |||| ||||||||||||||||| |||  || | || || ||  | | |||||||| ||||\n",
+      "\n",
+      "Sbjct  808   TTACAAATGGTGCTCGGAAGAAGCTTCAATACAGGGTCTATATTGATGTTCTTATCGGAA  867\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  613   GTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTGGCTG  672\n",
+      "\n",
+      "             ||| | ||||| ||||||||| ||||||||||||| | |||  ||||| |||| ||||| \n",
+      "\n",
+      "Sbjct  868   GTTTCACTTGGAGCTGTTGCTCTGGGCCTTGCATTTGCAATCATATCATTACTATGGCTT  927\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  673   GGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTATATA  732\n",
+      "\n",
+      "             ||||||| ||| || ||||||||| | |||||  | || |||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  928   GGCTTTACTTTCAACGATACAATCTTGGAGATGACGCTAACTCTTGCTGTCAGCTATATT  987\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  733   GCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGACGTTG  792\n",
+      "\n",
+      "             |||||||  ||||  |||||| | ||| ||   |||||| ||||| | ||||   | |||\n",
+      "\n",
+      "Sbjct  988   GCTTTCTATACTGTGCAAGATGCACTGAAGTACTCTGGTATTTTGACCGTCACAGCTTTG  1047\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  793   GGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAGTTTA  852\n",
+      "\n",
+      "             |||||||| ||||||||||||||||||||  |||| ||||| || |  |    |||||| \n",
+      "\n",
+      "Sbjct  1048  GGAATGTTCTATGCAGCTTTTGCAAAAACTACTTTTAAGGGCGACAATCGCCGAAGTTTG  1107\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  853   CATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAGTGGG  912\n",
+      "\n",
+      "             ||| |||| |||||||| ||||||||||| || || ||  ||||||| ||| ||||||||\n",
+      "\n",
+      "Sbjct  1108  CATGATTTCTGGGAAATAGTTGCTTACATTGCGAACACAATTATTTTCATACTGAGTGGG  1167\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  913   GTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCACTTCT  972\n",
+      "\n",
+      "             ||  |||||||||||||||| |||  | ||||||| |||||||| || || |||||||| \n",
+      "\n",
+      "Sbjct  1168  GTTATTATTGCAGATGGTGTGCTAAGACATAATGTCCATTTTGAGAGGCACGGCACTTCA  1227\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  973   TGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGTTGGT  1032\n",
+      "\n",
+      "             ||||| || ||||||||||| ||| ||| ||| | |||  | || | || |||||| |||\n",
+      "\n",
+      "Sbjct  1228  TGGGGGTTTCTTCTTCTGCTCTATTTCTATGTACAAATGGCACGGGCTGCAGTTGTCGGT  1287\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1033  GTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCATAATT  1092\n",
+      "\n",
+      "             | | | ||||  |||||| |   ||| ||||||||||||||||| ||||| |||||||| \n",
+      "\n",
+      "Sbjct  1288  GCTCTATATCTTTTGTTGCGCTACTTCGGGTATGGTTTGGACTTCAAAGAAGCCATAATC  1347\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1093  CTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAAACGT  1152\n",
+      "\n",
+      "              |||| ||||| |||||| |||| |||||| | |||||| || || | ||||||||||||\n",
+      "\n",
+      "Sbjct  1348  ATTGTTTGGTCTGGGCTGCGAGGTGCTGTTTCCCTATCATTAGCACTGTCTGTTAAACGT  1407\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1153  ACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGTTCTTC  1212\n",
+      "\n",
+      "              | |||||| |||  ||| ||| |||| |||||||||| |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1408  GCTAGTGATACAGCTCAACCTTTTCTGAAACCAGAAGTGGGAACAATGTTTGTGTTCTTC  1467\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1213  ACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTTTCTTA  1272\n",
+      "\n",
+      "             ||||||||||| |||||||||||  ||||  | |||||||| |||||||||||||| || \n",
+      "\n",
+      "Sbjct  1468  ACTGGTGGCATCGTGTTTCTGACCCTGATATTGAATGGTTCTACCACACAATTTTTGTTG  1527\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1273  CATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATACAAGA  1332\n",
+      "\n",
+      "             ||    ||||| |||||||| ||||||| ||||||| |||| || | ||| ||| | |||\n",
+      "\n",
+      "Sbjct  1528  CACGCACTTGGTATGGACAACCTGTCAGTAACAAAGCTTCGCATGTCGAATTATGCTAGA  1587\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1333  CATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAGAGCTT  1392\n",
+      "\n",
+      "             |||||||| || |||||  ||||||| ||||||||||| || |  |||||||| ||||||\n",
+      "\n",
+      "Sbjct  1588  CATGAAATTCTAAACAAGACATTAGAAGCTTTTGGTGATCTCAAAGATGATGAGGAGCTT  1647\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1393  GGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTTGGATGAT  1452\n",
+      "\n",
+      "             || |||||||| |||||||| || ||||||||||| ||| | |||  | ||||||| |||\n",
+      "\n",
+      "Sbjct  1648  GGTCCTGCTGACTGGGTTACAGTTAAGAAATATATCACAGGCTTGAGTAACTTGGAAGAT  1707\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1453  GAACCAGAGCATCCCCATGACATTGACAAGGATAGCCGCATGCATACCATGAACCTAAGG  1512\n",
+      "\n",
+      "             ||||  |  ||||| |||||   ||||||  ||   | ||| |||||||||||  |||||\n",
+      "\n",
+      "Sbjct  1708  GAACATGCACATCCACATGA---TGACAATCATGATCACATACATACCATGAATTTAAGG  1764\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1513  GATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAATGCTTGAAGAG  1572\n",
+      "\n",
+      "             |||  |||||| || ||| |||||||||| |||||    || |||| ||||||||| |||\n",
+      "\n",
+      "Sbjct  1765  GATGGCCGAGTGCGTCTTTTGAATGGTGTGCAAGCCAGTTACTGGGCAATGCTTGACGAG  1824\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1573  GGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATGAAGCTATGGAC  1632\n",
+      "\n",
+      "             ||||| ||||||||||||||||| |||||| ||||| |||| ||||||||||||||||| \n",
+      "\n",
+      "Sbjct  1825  GGACGGATAACTCAAGCTACAGCCAATATTTTGATGCGATCAGTTGATGAAGCTATGGAT  1884\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1633  CTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATGTCCAGTTCCCG  1692\n",
+      "\n",
+      "             ||| | || || | ||| ||||| |||||| |  |||| || ||||||||| | ||||| \n",
+      "\n",
+      "Sbjct  1885  CTTGTTTCTAGCCGACCATTATGCGATTGGAACAGTTTGCAGTCCAATGTCTATTTCCCA  1944\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1693  AATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCACATACTTCACA  1752\n",
+      "\n",
+      "             | ||||||||| |||||       |||| ||| |||| ||   | |||||||||||||||\n",
+      "\n",
+      "Sbjct  1945  AGTTACTATAGGTTCCTTTCTGCAAGCATGTTACCACAAAGTTTTATCACATACTTCACA  2004\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1753  GTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTGCTCACAGAACT  1812\n",
+      "\n",
+      "             ||| |||||||||||||||| |||||||| | ||||||||||||||||||||| |||| |\n",
+      "\n",
+      "Sbjct  2005  GTACAAAGATTGGAGTCAGGGTGTTACATCTGTGCTGCATTTCTTCGTGCTCATAGAATT  2064\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1813  GCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAACTGTTATTGAT  1872\n",
+      "\n",
+      "             |||||| |||| || || ||||||||||||||||||||| ||| || || ||||||||||\n",
+      "\n",
+      "Sbjct  2065  GCAAGGAGACAACTACAAGATTTTCTTGGTGATAGTGAGATTGCAAAAATTGTTATTGAT  2124\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1873  GAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTCGTGTTACGTTC  1932\n",
+      "\n",
+      "             ||||||||||||| ||| |||||||||| ||| ||  ||||||| |||||   ||| |||\n",
+      "\n",
+      "Sbjct  2125  GAAAGTAATGCTGGGGGAGAGGAAGCTAGAAAGTTCTTGGAAGAAGTTCGCTGTACATTC  2184\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1933  CCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTATTGACACACCTG  1992\n",
+      "\n",
+      "             || ||| | ||  ||||||||||  | ||||| || |||||| | |||||||||||| ||\n",
+      "\n",
+      "Sbjct  2185  CCTCAGCTTCTTTGTGTGCTAAAAACTCGACAAGTAACATATGCGGTATTGACACACTTG  2244\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1993  AGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGGAAATGATGCAT  2052\n",
+      "\n",
+      "             |||||| || ||||||||||   |||||| ||||| ||||| ||||| ||||||   |||\n",
+      "\n",
+      "Sbjct  2245  AGTGAGAATGTTCAAAACCTATGGAAGACTGGGTTACTGGAAGAAAAAGAAATGGCACAT  2304\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2053  TTAGATGATGCTTTG---------------CAGACAGACTTAAAGAAATTGAAAAGGAAT  2097\n",
+      "\n",
+      "              | |||||||||| |               ||||||||  | |||||  | || |||| |\n",
+      "\n",
+      "Sbjct  2305  CTGGATGATGCTTGGCAGTTAATCACTTGTCAGACAGATCTCAAGAAGCTTAAGAGGAGT  2364\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2098  CCACCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGT  2157\n",
+      "\n",
+      "             ||||   | |||||||||||||||||| | |||||||||  | | ||||| |||||  | \n",
+      "\n",
+      "Sbjct  2365  CCACAATTAGTGAAAATGCCAAGAGTTAGCGATCTTTTAGGCGCTCATCCATTAGTCAGC  2424\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2158  GCACTGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGG  2217\n",
+      "\n",
+      "                ||||||||||     |||| |||||| ||||| ||||||||||||| ||||  ||||\n",
+      "\n",
+      "Sbjct  2425  ATGCTGCCTGCTGCTGTGCGTGCTCCTTTGTTAAGCAATACAAAAGAAAATGTAAAAGGG  2484\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2218  CATGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATA  2277\n",
+      "\n",
+      "             |||||  |    ||||||| |||||||| |||  | |||||| ||||| ||||||| || \n",
+      "\n",
+      "Sbjct  2485  CATGGGGCAGCCCTTTATATGGAAGGCTTAAGAGCAACTGGTATATGGATTGTTTCGATC  2544\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2278  GGTGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTA  2337\n",
+      "\n",
+      "             || | ||| ||||||  ||||||||| ||||||||||||||||| ||| | |||||||| \n",
+      "\n",
+      "Sbjct  2545  GGAGCAGTAAAGTGGAGAAGTCAGAGGCTAAGCAGCAGGCATTCTTTGCACCCAATTTTC  2604\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2338  TCACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGAT  2397\n",
+      "\n",
+      "             ||||| |||| |||||||||| ||||||||||||| |  |||||| | | | | ||||| \n",
+      "\n",
+      "Sbjct  2605  TCACATGGAAGCACTTTGGGTCTATACGAGGTGCTAACAGGAAAGTCTTGTCTCTGTGAC  2664\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2398  ATGATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTT  2457\n",
+      "\n",
+      "             ||||||||||||||| | || |  ||||||||  | |||||||||||||| || ||| | \n",
+      "\n",
+      "Sbjct  2665  ATGATTACAGATTCTCTCGTCCGCTGTTTCTTCATTGAAGCTGAAAAGATAGATCAATTG  2724\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "             ||||| || ||||||||| |||||| ||| ||||||||||||||  |   ||| ||||| \n",
+      "\n",
+      "Sbjct  2725  CGTCAGTCAGATCCTTCTGTTGAGGCTTTTCTGTGGCAGGAAAGTGCTGCAGTCATTGCT  2784\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT-  2576\n",
+      "\n",
+      "             | ||| ||  | || |   | || |||| |||| ||||||| ||||   || | ||| | \n",
+      "\n",
+      "Sbjct  2785  AAGCTCTTGATCCCACGTGTGTTCGAGAGAATGACAATGCAAGAGACACGGCTTCTCGTC  2844\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGG-TCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACA  2635\n",
+      "\n",
+      "              ||  | ||| ||  |||||||| | ||||  ||||| ||||||||   ||| ||| | |\n",
+      "\n",
+      "Sbjct  2845  AGC--ACAGGATCTGCTATGAACTTGTACACCAAGGGCGAAGACATCATACTCGAGCATA  2902\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2636  GTTACATTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACAC  2695\n",
+      "\n",
+      "              |||||| |||||  | || ||||||  ||||||| |  |||  ||||||  ||||   |\n",
+      "\n",
+      "Sbjct  2903  ATTACATCGGCATCTTACTAGAAGGAACTTTGAAGGCGGAGAACCAAAATAACATCGTTC  2962\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2696  CTCCAGCGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAG  2755\n",
+      "\n",
+      "             ||||||  |||||||| ||||| |  ||  || | |   || |||||||  | |||||||\n",
+      "\n",
+      "Sbjct  2963  CTCCAGGAGTGCTGCTGCCATCAAGCATGGACCTGGAGTTACTTGGTCTGCAGTCTTCAG  3022\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2756  CTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGG--CGAG-AG  2812\n",
+      "\n",
+      "               ||||||||| |||||   ||||   | ||   ||| ||||| ||||| |  | || ||\n",
+      "\n",
+      "Sbjct  3023  AAATGAACCATATGGACAGTTGCTCCGCAGCAAACAGCTATCAGGTGGAAGCACAAGCAG  3082\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2813  CAAGGATTATCTTCTTTGAAATAGGAAGG  2841\n",
+      "\n",
+      "             | ||  ||||| |||| ||| |||| |||\n",
+      "\n",
+      "Sbjct  3083  CTAGAGTTATCATCTTCGAAGTAGGGAGG  3111\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AK065608.1 Oryza sativa Japonica Group cDNA clone:J013034C18, full insert \n",
+      "\n",
+      "sequence\n",
+      "\n",
+      "Length=3188\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 2259 bits (2504),  Expect = 0.0\n",
+      "\n",
+      " Identities = 1863/2274 (82%), Gaps = 51/2274 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  968   CTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTG  1027\n",
+      "\n",
+      "             |||| ||||| |||||||||||||| ||| | ||||| | ||| || ||  |  ||||||\n",
+      "\n",
+      "Sbjct  484   CTTCATGGGGCTTCCTTCTTCTGCTCTATGTATTTGTGCAAATTTCTCGGATATTAGTTG  543\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1028  TTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCA  1087\n",
+      "\n",
+      "             ||| | ||||||||||||||||| | | ||||||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  544   TTGTTATTTTGTATCCATTGTTGCGCCACTTTGGGTATGGTTTGGACTTGAAAGAAGCCA  603\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1088  TAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTA  1147\n",
+      "\n",
+      "              ||||||||| ||| | || ||| |||||||||||||||| || ||||||||||||||||\n",
+      "\n",
+      "Sbjct  604   CAATTCTTGTTTGGGCGGGACTGCGAGGGGCTGTTGCTCTGTCTCTATCATTATCTGTTA  663\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1148  AACGTACAAGTGATGCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGTGT  1207\n",
+      "\n",
+      "             | ||| | ||||||||||| || ||  ||||| ||||||  |  ||||||||||||||||\n",
+      "\n",
+      "Sbjct  664   AGCGTGCTAGTGATGCAGTTCAGACCCATCTGAAACCAGTTGACGGAACAATGTTTGTGT  723\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1208  TCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATTTT  1267\n",
+      "\n",
+      "             |||||||||||||||| |||||| ||||||||||| | |||||||| || ||||||||||\n",
+      "\n",
+      "Sbjct  724   TCTTCACTGGTGGCATCGTGTTTTTGACATTGATTTTTAATGGTTCTACTACACAATTTT  783\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1268  TCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATATA  1327\n",
+      "\n",
+      "             | || ||| | ||||| ||||||| | |  ||||||||||| |||| |||||||| ||||\n",
+      "\n",
+      "Sbjct  784   TGTTGCATCTACTTGGAATGGACAGATTAGCAGCAACAAAGCTTCGCATATTGAATTATA  843\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1328  CAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGAAG  1387\n",
+      "\n",
+      "             ||| | |||||||||| ||||| ||||| |||||||||||||| |||||||||||||| |\n",
+      "\n",
+      "Sbjct  844   CAAAATATGAAATGCTAAACAAGGCATTGGAGGCTTTTGGTGATCTTAGGGATGATGAGG  903\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1388  AGCTTGGACCT---GCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACT  1444\n",
+      "\n",
+      "             | ||||| |||   ||||||||||||||||||||||||||||| ||||| ||| | ||||\n",
+      "\n",
+      "Sbjct  904   AACTTGGTCCTCCTGCTGATTGGGTTACTGTAAAGAAATATATCACATGCTTGAACGACT  963\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1445  TGGATGATGAACCAGAGCATCCCCATGACATT---GACAAGGATAGCCGCATGCATACCA  1501\n",
+      "\n",
+      "             |||| ||||| || | |||||| ||||   ||   ||||   ||   |||||||||||||\n",
+      "\n",
+      "Sbjct  964   TGGACGATGAGCCTGTGCATCCTCATGCTGTTTCTGACAGAAATGATCGCATGCATACCA  1023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1502  TGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAA  1561\n",
+      "\n",
+      "             ||||| ||||||| ||||| || |||||||| |||||||| |||||||| || |||||||\n",
+      "\n",
+      "Sbjct  1024  TGAACTTAAGGGACATCCGTGTGCGGCTTCTAAATGGTGTCCAAGCTGCTTACTGGGGAA  1083\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1562  TGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATG  1621\n",
+      "\n",
+      "             |||||||||| ||||||||||||||| | || ||||||||| | |||||||| |||||||\n",
+      "\n",
+      "Sbjct  1084  TGCTTGAAGAAGGACGAATAACTCAAACCACTGCAAATATTTTAATGAGATCGGTTGATG  1143\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1622  AAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATG  1681\n",
+      "\n",
+      "             |||||||||| ||| |  | |  |||   |||||||| ||| ||||||| |  |||||||\n",
+      "\n",
+      "Sbjct  1144  AAGCTATGGATCTTGTTCCTACCCAAGAATTATGTGACTGGAAGGGTTTGCGGTCCAATG  1203\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1682  TCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCA  1741\n",
+      "\n",
+      "             |||| || || ||||||||||| ||||| || ||||||||||||||||||| ||| ||||\n",
+      "\n",
+      "Sbjct  1204  TCCATTTTCCAAATTACTATAGGTTCCTTCAAATGAGCAGGTTGCCACGAAGGCTTATCA  1263\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1742  CATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTG  1801\n",
+      "\n",
+      "             | |||||||||||||||||| ||||||||||||||||||| | |||||||||||| ||||\n",
+      "\n",
+      "Sbjct  1264  CTTACTTCACAGTAGAAAGACTGGAGTCAGGATGTTACATCTGTGCTGCATTTCTCCGTG  1323\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1802  CTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAA  1861\n",
+      "\n",
+      "             |||| ||||  ||||| || ||||| ||||| ||||||||||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  1324  CTCATAGAATCGCAAGACGGCAGCTACATGACTTTCTTGGTGATAGTGAGGTTGCCAGAA  1383\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1862  CTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTC  1921\n",
+      "\n",
+      "              ||||||||||||||||||||||||||| ||||| |||| ||||||  ||||||||||||\n",
+      "\n",
+      "Sbjct  1384  TTGTTATTGATGAAAGTAATGCTGAGGGAGAGGAGGCTAGAAAATTCTTGGAAGATGTTC  1443\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1922  GTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTAT  1981\n",
+      "\n",
+      "             ||||||| ||||| |||||||| |||||||| ||| | ||||| || |||||||| ||||\n",
+      "\n",
+      "Sbjct  1444  GTGTTACATTCCCTCAGGTGCTTCGTGTGCTGAAGACTCGACAAGTAACATATTCGGTAT  1503\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1982  TGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGG  2041\n",
+      "\n",
+      "             |||| ||| ||||||||||||||||||| ||||||||||| ||||||||||| |||||||\n",
+      "\n",
+      "Sbjct  1504  TGACCCACTTGAGTGAGTATATTCAAAATCTCCAGAAGACTGGGTTGCTGGAAGAAAAGG  1563\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2042  AAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCAC  2101\n",
+      "\n",
+      "             |||||   ||| ||||||||||||||||||||||||| ||||| || || ||||||||||\n",
+      "\n",
+      "Sbjct  1564  AAATGGCCCATCTAGATGATGCTTTGCAGACAGACTTGAAGAAGTTCAAGAGGAATCCAC  1623\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2102  CGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCAC  2161\n",
+      "\n",
+      "             |  |||| ||||||||||||||  |||||||||| ||||| ||||| ||||| |||||||\n",
+      "\n",
+      "Sbjct  1624  CATTGGTAAAAATGCCAAGAGTCAGTGATCTTTTGAACACTCATCCGTTAGTTGGTGCAC  1683\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2162  TGCCTGCTGTCACACGTGATCCTTTATTAAGTAATACAAAAGAAACTGTACGAGGGCATG  2221\n",
+      "\n",
+      "             |||||||||  |  |||||||||||||||||||  ||||||||||| |||  ||| ||||\n",
+      "\n",
+      "Sbjct  1684  TGCCTGCTGCGATGCGTGATCCTTTATTAAGTAGCACAAAAGAAACAGTAAAAGGACATG  1743\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2222  GTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGTG  2281\n",
+      "\n",
+      "             | || || |||||||  || ||||||||||| |||||| ||||||||||||| || || |\n",
+      "\n",
+      "Sbjct  1744  GCACAATCCTTTATAGAGAGGGCTCAAGGCCAACTGGTATATGGCTTGTTTCGATTGGAG  1803\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2282  TAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCAC  2341\n",
+      "\n",
+      "             |||| |||||| ||||||||||| |||||||||||||||| |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1804  TAGTAAAGTGGACAAGTCAGAGATTAAGCAGCAGGCATTCATTGGATCCAATTTTATCAC  1863\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2342  ACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATGA  2401\n",
+      "\n",
+      "             | || | |||||||||  | || ||||||||||||||||| || ||||| ||||| ||||\n",
+      "\n",
+      "Sbjct  1864  ATGGCAGCACTTTGGGCCTGTATGAGGTGCTGATTGGAAAACCTTATATCTGTGACATGA  1923\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2402  TTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGATTGAGCAACTTCGTC  2461\n",
+      "\n",
+      "             ||||||||||||||||||| || |||||  | |||||||||||||| |||||| | ||||\n",
+      "\n",
+      "Sbjct  1924  TTACAGATTCTGTGGTGCACTGCTTCTTCATTGAAGCTGAAAAGATAGAGCAATTGCGTC  1983\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2462  AATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCCAGGC  2521\n",
+      "\n",
+      "             |||| ||||||||||||||| |||| ||||||||||||||  | |||||  |||||||||\n",
+      "\n",
+      "Sbjct  1984  AATCAGATCCTTCTATTGAGATTTTTCTGTGGCAGGAAAGTGCTCTAGTCGTTGCCAGGC  2043\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2522  TTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATTGCTG  2581\n",
+      "\n",
+      "             |||| || |||  ||| ||||||||||||||||  |||||| ||||||| |||||  |||\n",
+      "\n",
+      "Sbjct  2044  TTTTGCTCCCTATGATGTTTGAGAAAATGGCAACACATGAGCTCAGGGTTCTCATCACTG  2103\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2582  AAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGTTACA  2641\n",
+      "\n",
+      "             |||| || ||||||||| | ||||||||||| ||||| |||||||| ||| | | || ||\n",
+      "\n",
+      "Sbjct  2104  AAAGATCTACTATGAACATCTACATTAAGGGCGAAGAAATTGAACTTGAGCAGAATTTCA  2163\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2642  TTGGCATTCTGCTGGAAGGATTTTTGAAGACCAAGAGTCAAAATCTCATCACACCTCCAG  2701\n",
+      "\n",
+      "             |||||||  | |||||||||||||||||||||||||  |||| | | |||||||||||||\n",
+      "\n",
+      "Sbjct  2164  TTGGCATCTTACTGGAAGGATTTTTGAAGACCAAGAACCAAACTTTGATCACACCTCCAG  2223\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2702  CGGTGCTGCTTCCATCGAATATCAACTTAGCCCTATTTGGTCTTGAATCTTCAGCTATGA  2761\n",
+      "\n",
+      "              | | ||||| ||| | |||  | ||||   | |||||||||| || || |||||||| |\n",
+      "\n",
+      "Sbjct  2224  GGTTACTGCTACCACCAAATGCCGACTTGAACTTATTTGGTCTCGAGTCATCAGCTATAA  2283\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2762  ACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAGAGCAAGGATTA  2821\n",
+      "\n",
+      "             |||   | |||||||| ||||| || ||||| ||||| |||||||| |||||||||||| \n",
+      "\n",
+      "Sbjct  2284  ACCGCATTGACTACTGTTATACAGCACCCAGCTATCAGGTGGAGGCTAGAGCAAGGATTT  2343\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2822  TCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAGAAGCGCATCTT  2881\n",
+      "\n",
+      "             | ||| |||| ||||| |||    ||||  ||||||| ||  | || || || || || |\n",
+      "\n",
+      "Sbjct  2344  TGTTCGTTGAGATAGGGAGG---CCCGAAATAGAGGCGGATCTGCAAAGGAGTGCGTCAT  2400\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2882  TGTTGTCCCAGACCCATGAACCTCCTCGGACACTGAGCAAAGAGCATAGTGGTCTGCTCA  2941\n",
+      "\n",
+      "             || | || || |||| |||||  ||||||||||  ||||| ||||| || ||| ||||||\n",
+      "\n",
+      "Sbjct  2401  TGATATCTCAAACCCTTGAACTGCCTCGGACACAAAGCAAGGAGCACAGCGGTTTGCTCA  2460\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2942  GTTGGCCAGAAAGCTTCCGAAGATCCCG------------------------AGCTGAAA  2977\n",
+      "\n",
+      "             | ||||| ||||||||| ||| |||| |                        | ||||||\n",
+      "\n",
+      "Sbjct  2461  GCTGGCCGGAAAGCTTCAGAAAATCCAGGGGAGCTCAGAATGGTGCCAGCTTAACTGAAA  2520\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2978  TCAGAAGCCACCCGGGCAGCCTCTCTACAAGAGCCCTGCAGCTGAGCATGTACGGAAGCA  3037\n",
+      "\n",
+      "             |||||  ||| || |  ||| ||||| |||||||  ||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  2521  TCAGAGACCATCCAGCAAGCTTCTCTGCAAGAGCATTGCAGCTGAGCATGTACGGGAGCA  2580\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3038  TGATGGTTGACATGCACTC------AGGTCAGGGCCAGAGGCGGCAGCGGCATCGTCGCA  3091\n",
+      "\n",
+      "             ||||   ||||||| | ||       |||||||| |||||| ||||| ||||||||| ||\n",
+      "\n",
+      "Sbjct  2581  TGATCAATGACATGAAGTCCGGTCAGGGTCAGGGTCAGAGGAGGCAGAGGCATCGTCACA  2640\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3092  TGCAGGCAACC------AACGCGAGGCACAGCTCGTCCTATCCCAGAGTGCCTTCAAGAC  3145\n",
+      "\n",
+      "              | | |||| |      || ||   |||||||||||| || || ||||||||||| ||  \n",
+      "\n",
+      "Sbjct  2641  CGAAAGCAAGCTCTAATAAAGC---GCACAGCTCGTCGTACCCAAGAGTGCCTTCGAGGT  2697\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3146  AAGCCAACACGC---GGCCTCTGCTCTCCGTTCAGTCGGAGGGTTTCAACATGA  3196\n",
+      "\n",
+      "                |||||||||   |||| ||||| || || ||||| ||||||  ||||||||\n",
+      "\n",
+      "Sbjct  2698  CGTCCAACACGCAGAGGCCCCTGCTGTCTGTGCAGTCCGAGGGTGCCAACATGA  2751\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 227 bits (251),  Expect = 5e-54\n",
+      "\n",
+      " Identities = 169/198 (85%), Gaps = 0/198 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  768  TGGTGTTTTGGCTGTCATGACGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTT  827\n",
+      "\n",
+      "            |||||||||| | ||||||||  |||||||||| ||||| |||||||||||||| |||||\n",
+      "\n",
+      "Sbjct  2    TGGTGTTTTGACCGTCATGACACTGGGAATGTTCTATGCCGCTTTTGCAAAAACTGCTTT  61\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  828  CAAGGGTGATAGCCAGGAAAGTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAA  887\n",
+      "\n",
+      "             |||||||| || ||| |||| || |||||||| ||||||||||||||||| || |||||\n",
+      "\n",
+      "Sbjct  62   TAAGGGTGACAGTCAGCAAAGCTTGCATCATTTCTGGGAAATGGTTGCTTATATAGCAAA  121\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  888  TACCCTTATTTTTATATTGAGTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGT  947\n",
+      "\n",
+      "             || ||||| |||||| |||||||||| |||||||||||||| || ||| ||||||||||\n",
+      "\n",
+      "Sbjct  122  CACACTTATATTTATACTGAGTGGGGTTGTTATTGCAGATGGAGTACTAGAAAATAATGT  181\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  948  TCATTTTGAAAGACATGG  965\n",
+      "\n",
+      "             ||||| || || || ||\n",
+      "\n",
+      "Sbjct  182  CCATTTCGAGAGGCACGG  199\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_010938530.3 PREDICTED: Elaeis guineensis sodium/hydrogen exchanger 7 (LOC105056363), \n",
+      "\n",
+      "transcript variant X2, mRNA\n",
+      "\n",
+      "Length=4228\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1947 bits (2158),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2229/2974 (75%), Gaps = 35/2974 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  333   GCCGGAACCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  392\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||| ||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  393   GAGGCATCTCCTTCGTGGTACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  452\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  || || || |||||||  || ||    |||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  453   CGGTCTTGGATCTCTCGAATATGGGACAAGCCATGGCTTAGGAAAACTGGGAGCTGGCAT  512\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || || || |||| ||| || ||  | || ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  513   TCGCTTATGGGCAAATATTAATCCTGTTCTCCTATTATCCGTCTTTCTTCCTGCTCTTCT  572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  573   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  |||||  || |  ||||| |\n",
+      "\n",
+      "Sbjct  633   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAGCTTTATTAAAGAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              ||| ||||||| |||||||  |||||   | |||||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  693   CACTCTTCCATATAACTGGAATTGGAACACAACATTGTTGCTGGGAGGGCTTCTTAGTGC  752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  |||| |||||||||||||||||||||||||| | \n",
+      "\n",
+      "Sbjct  753   TACAGATCCTGTTGCTGTTGTGGCTTTGCTGAAAGAACTTGGAGCAAGTAAAAAGCTGAA  812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| || ||||| | ||| ||\n",
+      "\n",
+      "Sbjct  813   CACAATAATTGAAGGGGAATCCTTAATGAATGATGGAACTGCGATCGTTGTATTTCAGCT  872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGG-AAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTAT  607\n",
+      "\n",
+      "              || |  |||||||| || ||  |||| |||  |||  ||    || ||||| || ||||\n",
+      "\n",
+      "Sbjct  873   GTTCTACCGAATGGTCCTTGGCCAGAA-CTTCAATGTGGGAGACATCATAAAATTTTTAT  931\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  608   TGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGT  667\n",
+      "\n",
+      "                ||||| |  | || || || ||| |||| || || || ||||| | ||| |||||||\n",
+      "\n",
+      "Sbjct  932   CACAAGTTTCATTGGGAGCAGTAGCTATGGGGCTAGCTTTTGGAATAGCATCTGTACTGT  991\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  668   GGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCT  727\n",
+      "\n",
+      "             |||||||||||||||| ||||| ||  | |||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  992   GGCTGGGCTTTATTTTCAATGACACGGTTATAGAGATTGCATTGACTCTTGCTGTCAGCT  1051\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  728   ATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGA  787\n",
+      "\n",
+      "             |  | |||||||||||||| ||||||  |   || |||||||| || ||| | || ||||\n",
+      "\n",
+      "Sbjct  1052  ACCTTGCTTTCTTCACTGCTCAAGATGGGGCAGACGTTTCTGGCGTCTTGACAGTAATGA  1111\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  788   CGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAA  847\n",
+      "\n",
+      "             |  | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  1112  CTCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAA  1171\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  848   GTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGA  907\n",
+      "\n",
+      "             |||| |||||||||||||||||||| |||||||| || ||||| || |||||||| ||||\n",
+      "\n",
+      "Sbjct  1172  GTTTGCATCATTTTTGGGAAATGGTAGCTTACATTGCCAATACTCTAATTTTTATCTTGA  1231\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  908   GTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCA  967\n",
+      "\n",
+      "             ||||||| |||||||| || ||||| || || ||| ||   || || |||| ||||||  \n",
+      "\n",
+      "Sbjct  1232  GTGGGGTTGTTATTGCTGAAGGTGTACTGCAGAATGATAACCACTTCGAAAAACATGGTG  1291\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  968   CTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTG  1027\n",
+      "\n",
+      "             |||| |||||   |||| || |||||||| | ||||||| |   || ||| |  ||||||\n",
+      "\n",
+      "Sbjct  1292  CTTCATGGGGCCACCTTGTTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTG  1351\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1028  TTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCA  1087\n",
+      "\n",
+      "             ||||  |  | |||||||| ||| |   |||||| ||||||||||||| |||||| || |\n",
+      "\n",
+      "Sbjct  1352  TTGGGCTACTATATCCATTTTTGCGGTACTTTGGCTATGGTTTGGACTGGAAAGAAGCAA  1411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1088  TAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTA  1147\n",
+      "\n",
+      "             | |||||||| ||||| ||  || ||||||| || ||| | || |||||| ||||||| |\n",
+      "\n",
+      "Sbjct  1412  TTATTCTTGTATGGTCGGGATTGCGAGGGGCCGTGGCTTTGTCGCTATCACTATCTGTCA  1471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1148  AACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTG  1204\n",
+      "\n",
+      "             ||||| | || |||      | ||| ||| ||||  ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1472  AACGTGCTAGCGATAACTTGGACCATACTCATCTCAAACCAGAAGTTGGAACATTGTTTG  1531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1205  TGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAAT  1264\n",
+      "\n",
+      "             | |||||||||||||| ||||| || |||||| ||||| | ||||| |||||||| || |\n",
+      "\n",
+      "Sbjct  1532  TATTCTTCACTGGTGGGATTGTTTTCCTGACACTGATTATCAATGGATCAACCACTCAGT  1591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1265  TTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAAT  1324\n",
+      "\n",
+      "             | || || ||| | || |  ||||| ||||| |||||||||||| |||| |||||||| |\n",
+      "\n",
+      "Sbjct  1592  TCTTGTTGCATCTTCTAGAAATGGATAAACTCTCAGCAACAAAGATTCGTATATTGAACT  1651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1325  ATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATG  1384\n",
+      "\n",
+      "             |||||||  |||||||| | ||||| ||||||||||| |||||||| ||| | |||||||\n",
+      "\n",
+      "Sbjct  1652  ATACAAGGTATGAAATGTTAAACAAGGCATTAGAGGCATTTGGTGATCTTGGTGATGATG  1711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1385  AAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACT  1444\n",
+      "\n",
+      "             | || || || ||||||||||||   |||||  ||| |||||| || || ||   | || \n",
+      "\n",
+      "Sbjct  1712  AGGAACTAGGGCCTGCTGATTGGTCCACTGTGCAGAGATATATCACTTGCTTAAGTAACA  1771\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1445  TGGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||||| | ||  |  ||||| ||   ||    ||| || || || |  | ||||  | \n",
+      "\n",
+      "Sbjct  1772  TGGATGAAGGACAGGTACATCCTCACATTGTTGCTGAAAACGAGTATCATC-TGCAGTCT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||  | || || || ||||| || ||||| |||||||| || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  1831  ATGAATTTGAGAGACATTCGAGTACGCCTTCTAAATGGTGTGCAGGCTGCTTACTGGGGA  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||||||| | ||||| ||  |||| |||| | |||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1891  ATGCTTGAAGAGGGAAGGATAACCCAGACTACTGCAATTCTTCTGATGCGATCTGTTGAT  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             || ||||||||  |  | ||  |  ||||  || |||||||| |||||||| | || |||\n",
+      "\n",
+      "Sbjct  1951  GAGGCTATGGATGTGGTATCTGGTGAACCTCTAGGTGATTGGAAGGGTTTAAAGTCAAAT  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || || || || |  || |||||||||||||| ||||||||  | || |||| ||| |||\n",
+      "\n",
+      "Sbjct  2011  GTACATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATC  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             ||||| |||||||||||||| |||||||||| |||||| ||||  |||||||||||||||\n",
+      "\n",
+      "Sbjct  2071  ACATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATATGCGCTGCATTTCTTCGT  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  || ||| | || || | ||||||| ||||||| |||||  |||  |  \n",
+      "\n",
+      "Sbjct  2131  GCTCACAGAATAGCTAGGAGGCAACTTCGTGATTTTATTGGTGACAGTGAAATTGCTACT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             ||||||||| ||||||| || ||||||||||||||||||| ||| ||  |||||||||||\n",
+      "\n",
+      "Sbjct  2191  ACTGTTATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTT  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             | ||| || || || ||||| || |||||  | ||  |  |||| || ||||||||| ||\n",
+      "\n",
+      "Sbjct  2251  CATGTCACATTTCCTCAGGTTCTCCGTGTTGTGAAAACAAGACAAGTAACATATTCAATA  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             |||| ||| |||||||| ||| | ||||| ||  |||||   ||||| || ||  |||| \n",
+      "\n",
+      "Sbjct  2311  TTGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGGTTACTAGAAAAAAAA  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             || |||   ||| | ||||||  | ||||||| |||||||| ||  |   ||| ||||||\n",
+      "\n",
+      "Sbjct  2371  GAGATGGATCATCTTGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCA  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  ||||||||||||||| |||  ||||||| ||||   | ||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  2431  CCTTTGGTGAAAATGCCAAAAGTAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCA  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "             |||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |   | \n",
+      "\n",
+      "Sbjct  2491  CTGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACGAAAGAAATAATGAAAACTCG  2549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "             ||||  ||  || ||||| || || || ||||| | |||  | |||||  | ||| ||||\n",
+      "\n",
+      "Sbjct  2550  TGGTGTGACGCTGTATAAAGAGGGTTCCAGGCCAAATGGGATGTGGCTGATATCAGTAGG  2609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "              || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| ||\n",
+      "\n",
+      "Sbjct  2610  AGTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCGTTACATCCAACTTTTTC  2669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| |||||\n",
+      "\n",
+      "Sbjct  2670  ACATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATAT  2729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACT  2456\n",
+      "\n",
+      "             ||| ||||| ||||| || || ||||||||| | ||| ||||||||||  ||  |  |||\n",
+      "\n",
+      "Sbjct  2730  GATCACAGACTCTGTAGTACACTGTTTCTTTATTGAAACTGAAAAGATACTGTCCTTACT  2789\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2457  TCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGC  2516\n",
+      "\n",
+      "             | |   ||| |  ||  ||||||| | ||| || |||||||||||  |  |||| || ||\n",
+      "\n",
+      "Sbjct  2790  TGG---ATCAGGCCCCCCTATTGAAGATTTTCTATGGCAGGAAAGTGCTATAGTCATAGC  2846\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2517  CAGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT  2576\n",
+      "\n",
+      "             ||  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  |\n",
+      "\n",
+      "Sbjct  2847  CAAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGT  2906\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAG  2636\n",
+      "\n",
+      "             | ||||||| ||   ||||||| | || || |  || || | ||| ||| |     ||| \n",
+      "\n",
+      "Sbjct  2907  TTCTGAAAGATCAGATATGAACATTTATATAAGAGGAGAGGTCATAGAAATAAGACACAA  2966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2637  TTACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCAT  2690\n",
+      "\n",
+      "             || ||||||| || || | ||||||||| | |||| ||||||  ||   ||| |  | ||\n",
+      "\n",
+      "Sbjct  2967  TTCCATTGGCTTTTTGTTAGAAGGATTTATAAAGACCCAAGATGGTCAGCAAGACTTGAT  3026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2691  CACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAAT  2749\n",
+      "\n",
+      "              |||||||| || |   || |||||||  | | | | | ||| | |  | | ||| ||||\n",
+      "\n",
+      "Sbjct  3027  TACACCTCCTGCAGCATTGGTTCCATCACACAGTGACCATAG-CTTTCTCGATCTAGAAT  3085\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2750  CTTCAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGA  2809\n",
+      "\n",
+      "             |||||| |  |||| |   |  || |||  | |  |   || | ||||| || ||  | |\n",
+      "\n",
+      "Sbjct  3086  CTTCAGGTTCGAACAACAAGAGCTTCTGTCACATGGGATCCTGGTATCAGGTTGAAACAA  3145\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2810  GAGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGA  2869\n",
+      "\n",
+      "             |||| ||| | ||||| || || ||||| |  |||   ||||  || | ||   | ||||\n",
+      "\n",
+      "Sbjct  3146  GAGCCAGGGTGATCTTTTTCGACATAGGTACAGTT---GAGGCTGAAGGTGTTCTTCAGA  3202\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2870  GAA---GCGCATCTTTGTTGTCCCAGAC--CCA-TGAACCTCCTCGGACACTGAGCAAAG  2923\n",
+      "\n",
+      "             | |     ||||| | | | |||||  |  ||| ||||||||| || |  || |||  ||\n",
+      "\n",
+      "Sbjct  3203  GGACGTCTGCATCATGGGTCTCCCAAGCTGCCATTGAACCTCCGCGAAGCCTAAGCCGAG  3262\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2924  AGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTT  2957\n",
+      "\n",
+      "             ||||| | ||| | || || ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  3263  AGCATGGAGGTTTTCTTAGCTGGCCTGAAAGTTT  3296\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_010938530.2 PREDICTED: Elaeis guineensis sodium/hydrogen exchanger 8 (LOC105056363), \n",
+      "\n",
+      "transcript variant X2, mRNA\n",
+      "\n",
+      "Length=4223\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1947 bits (2158),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2229/2974 (75%), Gaps = 35/2974 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  328   GCCGGAACCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  387\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||| ||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  388   GAGGCATCTCCTTCGTGGTACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  447\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  || || || |||||||  || ||    |||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  448   CGGTCTTGGATCTCTCGAATATGGGACAAGCCATGGCTTAGGAAAACTGGGAGCTGGCAT  507\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || || || |||| ||| || ||  | || ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  508   TCGCTTATGGGCAAATATTAATCCTGTTCTCCTATTATCCGTCTTTCTTCCTGCTCTTCT  567\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  568   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  627\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  |||||  || |  ||||| |\n",
+      "\n",
+      "Sbjct  628   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAGCTTTATTAAAGAT  687\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              ||| ||||||| |||||||  |||||   | |||||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  688   CACTCTTCCATATAACTGGAATTGGAACACAACATTGTTGCTGGGAGGGCTTCTTAGTGC  747\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  |||| |||||||||||||||||||||||||| | \n",
+      "\n",
+      "Sbjct  748   TACAGATCCTGTTGCTGTTGTGGCTTTGCTGAAAGAACTTGGAGCAAGTAAAAAGCTGAA  807\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| || ||||| | ||| ||\n",
+      "\n",
+      "Sbjct  808   CACAATAATTGAAGGGGAATCCTTAATGAATGATGGAACTGCGATCGTTGTATTTCAGCT  867\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGG-AAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTAT  607\n",
+      "\n",
+      "              || |  |||||||| || ||  |||| |||  |||  ||    || ||||| || ||||\n",
+      "\n",
+      "Sbjct  868   GTTCTACCGAATGGTCCTTGGCCAGAA-CTTCAATGTGGGAGACATCATAAAATTTTTAT  926\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  608   TGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGT  667\n",
+      "\n",
+      "                ||||| |  | || || || ||| |||| || || || ||||| | ||| |||||||\n",
+      "\n",
+      "Sbjct  927   CACAAGTTTCATTGGGAGCAGTAGCTATGGGGCTAGCTTTTGGAATAGCATCTGTACTGT  986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  668   GGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCT  727\n",
+      "\n",
+      "             |||||||||||||||| ||||| ||  | |||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  987   GGCTGGGCTTTATTTTCAATGACACGGTTATAGAGATTGCATTGACTCTTGCTGTCAGCT  1046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  728   ATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGA  787\n",
+      "\n",
+      "             |  | |||||||||||||| ||||||  |   || |||||||| || ||| | || ||||\n",
+      "\n",
+      "Sbjct  1047  ACCTTGCTTTCTTCACTGCTCAAGATGGGGCAGACGTTTCTGGCGTCTTGACAGTAATGA  1106\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  788   CGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAA  847\n",
+      "\n",
+      "             |  | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  1107  CTCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAA  1166\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  848   GTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGA  907\n",
+      "\n",
+      "             |||| |||||||||||||||||||| |||||||| || ||||| || |||||||| ||||\n",
+      "\n",
+      "Sbjct  1167  GTTTGCATCATTTTTGGGAAATGGTAGCTTACATTGCCAATACTCTAATTTTTATCTTGA  1226\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  908   GTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCA  967\n",
+      "\n",
+      "             ||||||| |||||||| || ||||| || || ||| ||   || || |||| ||||||  \n",
+      "\n",
+      "Sbjct  1227  GTGGGGTTGTTATTGCTGAAGGTGTACTGCAGAATGATAACCACTTCGAAAAACATGGTG  1286\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  968   CTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTG  1027\n",
+      "\n",
+      "             |||| |||||   |||| || |||||||| | ||||||| |   || ||| |  ||||||\n",
+      "\n",
+      "Sbjct  1287  CTTCATGGGGCCACCTTGTTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTG  1346\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1028  TTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCA  1087\n",
+      "\n",
+      "             ||||  |  | |||||||| ||| |   |||||| ||||||||||||| |||||| || |\n",
+      "\n",
+      "Sbjct  1347  TTGGGCTACTATATCCATTTTTGCGGTACTTTGGCTATGGTTTGGACTGGAAAGAAGCAA  1406\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1088  TAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTA  1147\n",
+      "\n",
+      "             | |||||||| ||||| ||  || ||||||| || ||| | || |||||| ||||||| |\n",
+      "\n",
+      "Sbjct  1407  TTATTCTTGTATGGTCGGGATTGCGAGGGGCCGTGGCTTTGTCGCTATCACTATCTGTCA  1466\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1148  AACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTG  1204\n",
+      "\n",
+      "             ||||| | || |||      | ||| ||| ||||  ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1467  AACGTGCTAGCGATAACTTGGACCATACTCATCTCAAACCAGAAGTTGGAACATTGTTTG  1526\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1205  TGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAAT  1264\n",
+      "\n",
+      "             | |||||||||||||| ||||| || |||||| ||||| | ||||| |||||||| || |\n",
+      "\n",
+      "Sbjct  1527  TATTCTTCACTGGTGGGATTGTTTTCCTGACACTGATTATCAATGGATCAACCACTCAGT  1586\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1265  TTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAAT  1324\n",
+      "\n",
+      "             | || || ||| | || |  ||||| ||||| |||||||||||| |||| |||||||| |\n",
+      "\n",
+      "Sbjct  1587  TCTTGTTGCATCTTCTAGAAATGGATAAACTCTCAGCAACAAAGATTCGTATATTGAACT  1646\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1325  ATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATG  1384\n",
+      "\n",
+      "             |||||||  |||||||| | ||||| ||||||||||| |||||||| ||| | |||||||\n",
+      "\n",
+      "Sbjct  1647  ATACAAGGTATGAAATGTTAAACAAGGCATTAGAGGCATTTGGTGATCTTGGTGATGATG  1706\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1385  AAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACT  1444\n",
+      "\n",
+      "             | || || || ||||||||||||   |||||  ||| |||||| || || ||   | || \n",
+      "\n",
+      "Sbjct  1707  AGGAACTAGGGCCTGCTGATTGGTCCACTGTGCAGAGATATATCACTTGCTTAAGTAACA  1766\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1445  TGGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||||| | ||  |  ||||| ||   ||    ||| || || || |  | ||||  | \n",
+      "\n",
+      "Sbjct  1767  TGGATGAAGGACAGGTACATCCTCACATTGTTGCTGAAAACGAGTATCATC-TGCAGTCT  1825\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||  | || || || ||||| || ||||| |||||||| || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  1826  ATGAATTTGAGAGACATTCGAGTACGCCTTCTAAATGGTGTGCAGGCTGCTTACTGGGGA  1885\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||||||| | ||||| ||  |||| |||| | |||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1886  ATGCTTGAAGAGGGAAGGATAACCCAGACTACTGCAATTCTTCTGATGCGATCTGTTGAT  1945\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             || ||||||||  |  | ||  |  ||||  || |||||||| |||||||| | || |||\n",
+      "\n",
+      "Sbjct  1946  GAGGCTATGGATGTGGTATCTGGTGAACCTCTAGGTGATTGGAAGGGTTTAAAGTCAAAT  2005\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || || || || |  || |||||||||||||| ||||||||  | || |||| ||| |||\n",
+      "\n",
+      "Sbjct  2006  GTACATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATC  2065\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             ||||| |||||||||||||| |||||||||| |||||| ||||  |||||||||||||||\n",
+      "\n",
+      "Sbjct  2066  ACATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATATGCGCTGCATTTCTTCGT  2125\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  || ||| | || || | ||||||| ||||||| |||||  |||  |  \n",
+      "\n",
+      "Sbjct  2126  GCTCACAGAATAGCTAGGAGGCAACTTCGTGATTTTATTGGTGACAGTGAAATTGCTACT  2185\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             ||||||||| ||||||| || ||||||||||||||||||| ||| ||  |||||||||||\n",
+      "\n",
+      "Sbjct  2186  ACTGTTATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTT  2245\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             | ||| || || || ||||| || |||||  | ||  |  |||| || ||||||||| ||\n",
+      "\n",
+      "Sbjct  2246  CATGTCACATTTCCTCAGGTTCTCCGTGTTGTGAAAACAAGACAAGTAACATATTCAATA  2305\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             |||| ||| |||||||| ||| | ||||| ||  |||||   ||||| || ||  |||| \n",
+      "\n",
+      "Sbjct  2306  TTGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGGTTACTAGAAAAAAAA  2365\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             || |||   ||| | ||||||  | ||||||| |||||||| ||  |   ||| ||||||\n",
+      "\n",
+      "Sbjct  2366  GAGATGGATCATCTTGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCA  2425\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  ||||||||||||||| |||  ||||||| ||||   | ||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  2426  CCTTTGGTGAAAATGCCAAAAGTAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCA  2485\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "             |||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |   | \n",
+      "\n",
+      "Sbjct  2486  CTGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACGAAAGAAATAATGAAAACTCG  2544\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "             ||||  ||  || ||||| || || || ||||| | |||  | |||||  | ||| ||||\n",
+      "\n",
+      "Sbjct  2545  TGGTGTGACGCTGTATAAAGAGGGTTCCAGGCCAAATGGGATGTGGCTGATATCAGTAGG  2604\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "              || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| ||\n",
+      "\n",
+      "Sbjct  2605  AGTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCGTTACATCCAACTTTTTC  2664\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| |||||\n",
+      "\n",
+      "Sbjct  2665  ACATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATAT  2724\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACT  2456\n",
+      "\n",
+      "             ||| ||||| ||||| || || ||||||||| | ||| ||||||||||  ||  |  |||\n",
+      "\n",
+      "Sbjct  2725  GATCACAGACTCTGTAGTACACTGTTTCTTTATTGAAACTGAAAAGATACTGTCCTTACT  2784\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2457  TCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGC  2516\n",
+      "\n",
+      "             | |   ||| |  ||  ||||||| | ||| || |||||||||||  |  |||| || ||\n",
+      "\n",
+      "Sbjct  2785  TGG---ATCAGGCCCCCCTATTGAAGATTTTCTATGGCAGGAAAGTGCTATAGTCATAGC  2841\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2517  CAGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT  2576\n",
+      "\n",
+      "             ||  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  |\n",
+      "\n",
+      "Sbjct  2842  CAAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGT  2901\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAG  2636\n",
+      "\n",
+      "             | ||||||| ||   ||||||| | || || |  || || | ||| ||| |     ||| \n",
+      "\n",
+      "Sbjct  2902  TTCTGAAAGATCAGATATGAACATTTATATAAGAGGAGAGGTCATAGAAATAAGACACAA  2961\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2637  TTACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCAT  2690\n",
+      "\n",
+      "             || ||||||| || || | ||||||||| | |||| ||||||  ||   ||| |  | ||\n",
+      "\n",
+      "Sbjct  2962  TTCCATTGGCTTTTTGTTAGAAGGATTTATAAAGACCCAAGATGGTCAGCAAGACTTGAT  3021\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2691  CACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAAT  2749\n",
+      "\n",
+      "              |||||||| || |   || |||||||  | | | | | ||| | |  | | ||| ||||\n",
+      "\n",
+      "Sbjct  3022  TACACCTCCTGCAGCATTGGTTCCATCACACAGTGACCATAG-CTTTCTCGATCTAGAAT  3080\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2750  CTTCAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGA  2809\n",
+      "\n",
+      "             |||||| |  |||| |   |  || |||  | |  |   || | ||||| || ||  | |\n",
+      "\n",
+      "Sbjct  3081  CTTCAGGTTCGAACAACAAGAGCTTCTGTCACATGGGATCCTGGTATCAGGTTGAAACAA  3140\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2810  GAGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGA  2869\n",
+      "\n",
+      "             |||| ||| | ||||| || || ||||| |  |||   ||||  || | ||   | ||||\n",
+      "\n",
+      "Sbjct  3141  GAGCCAGGGTGATCTTTTTCGACATAGGTACAGTT---GAGGCTGAAGGTGTTCTTCAGA  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2870  GAA---GCGCATCTTTGTTGTCCCAGAC--CCA-TGAACCTCCTCGGACACTGAGCAAAG  2923\n",
+      "\n",
+      "             | |     ||||| | | | |||||  |  ||| ||||||||| || |  || |||  ||\n",
+      "\n",
+      "Sbjct  3198  GGACGTCTGCATCATGGGTCTCCCAAGCTGCCATTGAACCTCCGCGAAGCCTAAGCCGAG  3257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2924  AGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTT  2957\n",
+      "\n",
+      "             ||||| | ||| | || || ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  3258  AGCATGGAGGTTTTCTTAGCTGGCCTGAAAGTTT  3291\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XR_003386897.1 PREDICTED: Phoenix dactylifera sodium/hydrogen exchanger 8 (LOC103713094), \n",
+      "\n",
+      "transcript variant X2, misc_RNA\n",
+      "\n",
+      "Length=4143\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1936 bits (2146),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2221/2969 (75%), Gaps = 33/2969 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  352   GCCGGAGCCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||||||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  412   GAGGCATCTCCTTCGTGGCACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  ||||| || |||||||  || ||     ||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  472   CGGTCTCGGATCTCTCGAATATGGGACAAACGATGGATTAGGAAAACTGGGAGCTGGCAT  531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || ||  | |||| |||||| ||  |||| ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  532   TCGCCTATGGGCAAATATTGATCCTGTTCTTCTATTATCTGTCTTTCTTCCTGCTCTTCT  591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  592   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  ||||| ||| |  | ||| |\n",
+      "\n",
+      "Sbjct  652   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAACTTTAATTAAGAT  711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              |||||||||||  ||||||  |||||   ||| |||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  712   CACTTTTCCATATCACTGGAATTGGAAGACATCGTTGTTGCTGGGAGGGCTTCTTAGTGC  771\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  | || |||||||||||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  772   TACAGATCCTGTTGCTGTTGTGGCTTTACTGAAAGAACTTGGAGCAAGTAAAAAGCTGAG  831\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| |||||||| | ||| ||\n",
+      "\n",
+      "Sbjct  832   CACAATAATTGAAGGAGAATCCTTAATGAATGATGGAACTGCGATTGTTGTATTTCAGCT  891\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATT  608\n",
+      "\n",
+      "              || |  |||||||| || ||    |||||  |||  ||    || ||||| ||||||| \n",
+      "\n",
+      "Sbjct  892   GTTCTACCGAATGGTCCTTGGCCAGACCTTCAATGTGGGAGACATCATAAAATTCTTATC  951\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  609   GGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTG  668\n",
+      "\n",
+      "               ||||| | ||||| || || ||| |||| || || |||||| | | ||| ||||||||\n",
+      "\n",
+      "Sbjct  952   ACAAGTTTCACTTGGAGCAGTAGCTATGGGTCTAGCTTTCGGAGTAGCATCTGTACTGTG  1011\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  669   GCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTA  728\n",
+      "\n",
+      "             ||||||||||||||| ||||| ||| | ||||||||| || | |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1012  GCTGGGCTTTATTTTCAATGACACAGTTATAGAGATTACATTGACTCTTGCTGTCAGCTA  1071\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  729   TATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGAC  788\n",
+      "\n",
+      "               | |||||||||||||| ||||||  |   || ||||| ||||| ||| | || |||||\n",
+      "\n",
+      "Sbjct  1072  CCTTGCTTTCTTCACTGCTCAAGATGGGGCAGATGTTTCAGGTGTCTTGACAGTAATGAC  1131\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  789   GTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAG  848\n",
+      "\n",
+      "               | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| ||||\n",
+      "\n",
+      "Sbjct  1132  TCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAAG  1191\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  849   TTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAG  908\n",
+      "\n",
+      "             ||| |||||||| ||||||||||| || ||||| |||||||| || |||||||| |||||\n",
+      "\n",
+      "Sbjct  1192  TTTGCATCATTTCTGGGAAATGGTAGCCTACATTGCAAATACTCTAATTTTTATCTTGAG  1251\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  909   TGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCAC  968\n",
+      "\n",
+      "             |||||| |||||||| || ||||| || || ||| ||   || || |||||||||||  |\n",
+      "\n",
+      "Sbjct  1252  TGGGGTTGTTATTGCTGAAGGTGTACTGCACAATGATAACCACTTCGAAAGACATGGTGC  1311\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  969   TTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGT  1028\n",
+      "\n",
+      "             ||| ||||| | |||  || |||||||| | ||||||| |   || ||| |  |||||||\n",
+      "\n",
+      "Sbjct  1312  TTCATGGGGCTACCTCATTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTGT  1371\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1029  TGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCAT  1088\n",
+      "\n",
+      "             |||  |  | |||||||| ||| |   |||||| || |||||||||| |||||| || ||\n",
+      "\n",
+      "Sbjct  1372  TGGGCTGCTATATCCATTTTTGCGGTACTTTGGCTACGGTTTGGACTGGAAAGAAGCAAT  1431\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1089  AATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAA  1148\n",
+      "\n",
+      "              |||||| | ||||||||  || |||||||||| ||||| || |||||| | ||||| ||\n",
+      "\n",
+      "Sbjct  1432  TATTCTTATGTGGTCAGGATTGCGAGGGGCTGTGGCTCTGTCGCTATCACTGTCTGTCAA  1491\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1149  ACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGT  1205\n",
+      "\n",
+      "             |||| | || |||      | ||||||| ||||  ||||||||||||||||| |||||||\n",
+      "\n",
+      "Sbjct  1492  ACGTGCTAGCGATAACTTGGACCAAACTCATCTCAAACCAGAAGTTGGAACATTGTTTGT  1551\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1206  GTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATT  1265\n",
+      "\n",
+      "              |||||||||||||| ||||| || |||||  ||| | | ||||| ||||| || || ||\n",
+      "\n",
+      "Sbjct  1552  ATTCTTCACTGGTGGGATTGTTTTCCTGACGCTGACTATCAATGGATCAACTACTCAGTT  1611\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1266  TTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATA  1325\n",
+      "\n",
+      "              ||||| ||| | |||   ||||| ||||| ||||| |||||| |||| |||||||| ||\n",
+      "\n",
+      "Sbjct  1612  CTTCTTGCATCTTCTTAAAATGGATAAACTCTCAGCGACAAAGATTCGTATATTGAACTA  1671\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1326  TACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGA  1385\n",
+      "\n",
+      "             ||| ||  |||||||| | ||||| || || ||||| ||||| || ||| ||||||||||\n",
+      "\n",
+      "Sbjct  1672  TACGAGGTATGAAATGTTAAACAAGGCCTTGGAGGCATTTGGCGATCTTGGGGATGATGA  1731\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1386  AGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTT  1445\n",
+      "\n",
+      "              || || || ||||||||||||   |||||   || |||||| || || ||   | ||||\n",
+      "\n",
+      "Sbjct  1732  GGAACTAGGGCCTGCTGATTGGCCCACTGTGCTGAGATATATCACTTGCTTAAGTAACTT  1791\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1446  GGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACCA  1501\n",
+      "\n",
+      "             |||||| | ||  |  ||||| ||   ||  | ||| |  || || |  | ||||  | |\n",
+      "\n",
+      "Sbjct  1792  GGATGAAGGACAGGTACATCCTCACACTGTTACTGAAAGTGAGTATCATC-TGCAGTCTA  1850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1502  TGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAA  1561\n",
+      "\n",
+      "             ||||  | || || || || || || ||||| |||||||| || ||||| ||||||||||\n",
+      "\n",
+      "Sbjct  1851  TGAATTTGAGAGACATTCGGGTACGCCTTCTAAATGGTGTGCAGGCTGCTTATTGGGGAA  1910\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1562  TGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATG  1621\n",
+      "\n",
+      "             |||||||||||||| | ||||  ||  |||| || | | |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1911  TGCTTGAAGAGGGAAGGATAAGCCAGACTACTGCGATTCTTCTGATGCGATCTGTTGATG  1970\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1622  AAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATG  1681\n",
+      "\n",
+      "             | ||||||||  |  | || ||  | ||  ||||||||||| |||||||| | || ||||\n",
+      "\n",
+      "Sbjct  1971  AGGCTATGGATGTGGTATCTAGTGAGCCTCTATGTGATTGGAAGGGTTTAAAGTCAAATG  2030\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1682  TCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCA  1741\n",
+      "\n",
+      "             |||| || || |  || |||||||||||||| ||||||||  | || |||| ||| ||||\n",
+      "\n",
+      "Sbjct  2031  TCCATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATCA  2090\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1742  CATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTG  1801\n",
+      "\n",
+      "             |||| |||||||||||||| |||||||||| |||||| || |  ||||||||||||||||\n",
+      "\n",
+      "Sbjct  2091  CATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATTTGCGCTGCATTTCTTCGTG  2150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1802  CTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAA  1861\n",
+      "\n",
+      "             |||||||||  || | | | || || ||||||||| ||||||| |||||  |||  |  |\n",
+      "\n",
+      "Sbjct  2151  CTCACAGAATAGCTACGAGGCAACTTCATGATTTTATTGGTGACAGTGAAATTGCTACTA  2210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1862  CTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTC  1921\n",
+      "\n",
+      "             |||| ||| ||||||| || ||||||||||||||||||| ||| ||  ||||||||||||\n",
+      "\n",
+      "Sbjct  2211  CTGTCATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTTC  2270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1922  GTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTAT  1981\n",
+      "\n",
+      "             |||| || ||||| ||||| || ||||   | ||  |  |||| || ||||||||| |||\n",
+      "\n",
+      "Sbjct  2271  GTGTCACATTCCCTCAGGTTCTTCGTGCTGTGAAAACAAGACAAGTAACATATTCAATAT  2330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1982  TGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGG  2041\n",
+      "\n",
+      "             ||| ||| |||||||| ||| | ||||| ||  |||||   || || || ||  ||||||\n",
+      "\n",
+      "Sbjct  2331  TGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGATTACTAGAACAAAAGG  2390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2042  AAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCAC  2101\n",
+      "\n",
+      "             | |||   ||| ||||||||  | ||||||| |||||||| ||  |   ||| |||||||\n",
+      "\n",
+      "Sbjct  2391  AGATGTATCATCTAGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCAC  2450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2102  CGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCAC  2161\n",
+      "\n",
+      "             |  ||||||||||||||| | |  ||||||| ||||   | ||||||||| | |||||||\n",
+      "\n",
+      "Sbjct  2451  CTTTGGTGAAAATGCCAAAAATAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCAC  2510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2162  TGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |  || |\n",
+      "\n",
+      "Sbjct  2511  TGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACTAAAGAAATAATGAAAATGCGT  2569\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             |||  ||  || |||||||| || || || || | |||  | |||||  | ||| |||| \n",
+      "\n",
+      "Sbjct  2570  GGTGTGACCCTGTATAAGGAGGGTTCCAGACCAAATGGGATGTGGCTCATATCAGTAGGA  2629\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| |||\n",
+      "\n",
+      "Sbjct  2630  GTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCATTACATCCAACTTTTTCA  2689\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  2690  CATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATATG  2749\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACTT  2457\n",
+      "\n",
+      "             || || || || || || |||||||||||  | ||| ||||||||||  ||  |  ||||\n",
+      "\n",
+      "Sbjct  2750  ATCACTGACTCAGTAGTACATTGTTTCTTCATCGAAACTGAAAAGATACTGTCCTTACTT  2809\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "              |   ||| |  |||  | |||| | ||| || |||||||||||  |  | || || |||\n",
+      "\n",
+      "Sbjct  2810  GG---ATCAGGCCCTGTTGTTGAAGATTTTCTATGGCAGGAAAGTGCTATGGTGATAGCC  2866\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATT  2577\n",
+      "\n",
+      "             |  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  ||\n",
+      "\n",
+      "Sbjct  2867  AAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGTT  2926\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2578  GCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGT  2637\n",
+      "\n",
+      "             ||||||||  | | ||||||| | || || |  || || |  || ||| |     ||| |\n",
+      "\n",
+      "Sbjct  2927  GCTGAAAGAACAAATATGAACATTTATATAAGAGGAGAGGTTATAGAAATAAGACACAAT  2986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2638  TACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCATC  2691\n",
+      "\n",
+      "             | |||||||||| || ||||||||||| | |||| ||||||  ||   ||| |  | || \n",
+      "\n",
+      "Sbjct  2987  TCCATTGGCATTTTGTTGGAAGGATTTATAAAGACCCAAGATGGTCAACAAGACTTGATT  3046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2692  ACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAATC  2750\n",
+      "\n",
+      "             |||||||| || |   || | || ||  | | | | || || | |  ||||||| |||||\n",
+      "\n",
+      "Sbjct  3047  ACACCTCCTGCAGCTTTGTTACCGTCACACAGTGATCTAAG-CTTTCTTGGTCTGGAATC  3105\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2751  TTCAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAG  2810\n",
+      "\n",
+      "             ||||| | ||||| | ||   || |||  | |  |   || | ||||| || ||  | ||\n",
+      "\n",
+      "Sbjct  3106  TTCAGGTTTGAACAACGTAAGCTTCTGTCACATGGGTACCTGGTATCAGGTTGAAACAAG  3165\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2811  AGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAG  2870\n",
+      "\n",
+      "             ||| ||| | ||||| || || ||||| |  |||   ||||  || | ||   | |||| \n",
+      "\n",
+      "Sbjct  3166  AGCCAGGGTGATCTTTTTCGACATAGGTACAGTT---GAGGCTGAAGGTGCTCTACAGAA  3222\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2871  AAG---CGCATCTTTGTTGTCCCAGAC---CCATGAACCTCCTCGGACACTGAGCAAAGA  2924\n",
+      "\n",
+      "              ||    ||||| | | | || ||  |   |  ||||| ||| || |  || || | |||\n",
+      "\n",
+      "Sbjct  3223  GAGGTCTGCATCGTGGGTCTCGCAAGCTGGCATTGAACTTCCACGAAACCTAAGTAGAGA  3282\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2925  GCATAGTGGTCTGCTCAGTTGGCCAGAAA  2953\n",
+      "\n",
+      "              ||| | ||| |||| || ||||| ||||\n",
+      "\n",
+      "Sbjct  3283  ACATGGAGGTTTGCTTAGCTGGCCTGAAA  3311\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_008799878.3 PREDICTED: Phoenix dactylifera sodium/hydrogen exchanger 8 (LOC103713094), \n",
+      "\n",
+      "transcript variant X1, mRNA\n",
+      "\n",
+      "Length=4174\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1936 bits (2146),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2221/2969 (75%), Gaps = 33/2969 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  352   GCCGGAGCCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||||||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  412   GAGGCATCTCCTTCGTGGCACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  ||||| || |||||||  || ||     ||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  472   CGGTCTCGGATCTCTCGAATATGGGACAAACGATGGATTAGGAAAACTGGGAGCTGGCAT  531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || ||  | |||| |||||| ||  |||| ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  532   TCGCCTATGGGCAAATATTGATCCTGTTCTTCTATTATCTGTCTTTCTTCCTGCTCTTCT  591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  592   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  ||||| ||| |  | ||| |\n",
+      "\n",
+      "Sbjct  652   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAACTTTAATTAAGAT  711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              |||||||||||  ||||||  |||||   ||| |||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  712   CACTTTTCCATATCACTGGAATTGGAAGACATCGTTGTTGCTGGGAGGGCTTCTTAGTGC  771\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  | || |||||||||||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  772   TACAGATCCTGTTGCTGTTGTGGCTTTACTGAAAGAACTTGGAGCAAGTAAAAAGCTGAG  831\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| |||||||| | ||| ||\n",
+      "\n",
+      "Sbjct  832   CACAATAATTGAAGGAGAATCCTTAATGAATGATGGAACTGCGATTGTTGTATTTCAGCT  891\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGGAAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTATT  608\n",
+      "\n",
+      "              || |  |||||||| || ||    |||||  |||  ||    || ||||| ||||||| \n",
+      "\n",
+      "Sbjct  892   GTTCTACCGAATGGTCCTTGGCCAGACCTTCAATGTGGGAGACATCATAAAATTCTTATC  951\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  609   GGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGTG  668\n",
+      "\n",
+      "               ||||| | ||||| || || ||| |||| || || |||||| | | ||| ||||||||\n",
+      "\n",
+      "Sbjct  952   ACAAGTTTCACTTGGAGCAGTAGCTATGGGTCTAGCTTTCGGAGTAGCATCTGTACTGTG  1011\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  669   GCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCTA  728\n",
+      "\n",
+      "             ||||||||||||||| ||||| ||| | ||||||||| || | |||||||||||||||||\n",
+      "\n",
+      "Sbjct  1012  GCTGGGCTTTATTTTCAATGACACAGTTATAGAGATTACATTGACTCTTGCTGTCAGCTA  1071\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  729   TATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGAC  788\n",
+      "\n",
+      "               | |||||||||||||| ||||||  |   || ||||| ||||| ||| | || |||||\n",
+      "\n",
+      "Sbjct  1072  CCTTGCTTTCTTCACTGCTCAAGATGGGGCAGATGTTTCAGGTGTCTTGACAGTAATGAC  1131\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  789   GTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAAG  848\n",
+      "\n",
+      "               | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| ||||\n",
+      "\n",
+      "Sbjct  1132  TCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAAG  1191\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  849   TTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGAG  908\n",
+      "\n",
+      "             ||| |||||||| ||||||||||| || ||||| |||||||| || |||||||| |||||\n",
+      "\n",
+      "Sbjct  1192  TTTGCATCATTTCTGGGAAATGGTAGCCTACATTGCAAATACTCTAATTTTTATCTTGAG  1251\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  909   TGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCAC  968\n",
+      "\n",
+      "             |||||| |||||||| || ||||| || || ||| ||   || || |||||||||||  |\n",
+      "\n",
+      "Sbjct  1252  TGGGGTTGTTATTGCTGAAGGTGTACTGCACAATGATAACCACTTCGAAAGACATGGTGC  1311\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  969   TTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTGT  1028\n",
+      "\n",
+      "             ||| ||||| | |||  || |||||||| | ||||||| |   || ||| |  |||||||\n",
+      "\n",
+      "Sbjct  1312  TTCATGGGGCTACCTCATTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTGT  1371\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1029  TGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCAT  1088\n",
+      "\n",
+      "             |||  |  | |||||||| ||| |   |||||| || |||||||||| |||||| || ||\n",
+      "\n",
+      "Sbjct  1372  TGGGCTGCTATATCCATTTTTGCGGTACTTTGGCTACGGTTTGGACTGGAAAGAAGCAAT  1431\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1089  AATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTAA  1148\n",
+      "\n",
+      "              |||||| | ||||||||  || |||||||||| ||||| || |||||| | ||||| ||\n",
+      "\n",
+      "Sbjct  1432  TATTCTTATGTGGTCAGGATTGCGAGGGGCTGTGGCTCTGTCGCTATCACTGTCTGTCAA  1491\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1149  ACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTGT  1205\n",
+      "\n",
+      "             |||| | || |||      | ||||||| ||||  ||||||||||||||||| |||||||\n",
+      "\n",
+      "Sbjct  1492  ACGTGCTAGCGATAACTTGGACCAAACTCATCTCAAACCAGAAGTTGGAACATTGTTTGT  1551\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1206  GTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAATT  1265\n",
+      "\n",
+      "              |||||||||||||| ||||| || |||||  ||| | | ||||| ||||| || || ||\n",
+      "\n",
+      "Sbjct  1552  ATTCTTCACTGGTGGGATTGTTTTCCTGACGCTGACTATCAATGGATCAACTACTCAGTT  1611\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1266  TTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAATA  1325\n",
+      "\n",
+      "              ||||| ||| | |||   ||||| ||||| ||||| |||||| |||| |||||||| ||\n",
+      "\n",
+      "Sbjct  1612  CTTCTTGCATCTTCTTAAAATGGATAAACTCTCAGCGACAAAGATTCGTATATTGAACTA  1671\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1326  TACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATGA  1385\n",
+      "\n",
+      "             ||| ||  |||||||| | ||||| || || ||||| ||||| || ||| ||||||||||\n",
+      "\n",
+      "Sbjct  1672  TACGAGGTATGAAATGTTAAACAAGGCCTTGGAGGCATTTGGCGATCTTGGGGATGATGA  1731\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1386  AGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACTT  1445\n",
+      "\n",
+      "              || || || ||||||||||||   |||||   || |||||| || || ||   | ||||\n",
+      "\n",
+      "Sbjct  1732  GGAACTAGGGCCTGCTGATTGGCCCACTGTGCTGAGATATATCACTTGCTTAAGTAACTT  1791\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1446  GGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACCA  1501\n",
+      "\n",
+      "             |||||| | ||  |  ||||| ||   ||  | ||| |  || || |  | ||||  | |\n",
+      "\n",
+      "Sbjct  1792  GGATGAAGGACAGGTACATCCTCACACTGTTACTGAAAGTGAGTATCATC-TGCAGTCTA  1850\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1502  TGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGAA  1561\n",
+      "\n",
+      "             ||||  | || || || || || || ||||| |||||||| || ||||| ||||||||||\n",
+      "\n",
+      "Sbjct  1851  TGAATTTGAGAGACATTCGGGTACGCCTTCTAAATGGTGTGCAGGCTGCTTATTGGGGAA  1910\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1562  TGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGATG  1621\n",
+      "\n",
+      "             |||||||||||||| | ||||  ||  |||| || | | |||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  1911  TGCTTGAAGAGGGAAGGATAAGCCAGACTACTGCGATTCTTCTGATGCGATCTGTTGATG  1970\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1622  AAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAATG  1681\n",
+      "\n",
+      "             | ||||||||  |  | || ||  | ||  ||||||||||| |||||||| | || ||||\n",
+      "\n",
+      "Sbjct  1971  AGGCTATGGATGTGGTATCTAGTGAGCCTCTATGTGATTGGAAGGGTTTAAAGTCAAATG  2030\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1682  TCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATCA  1741\n",
+      "\n",
+      "             |||| || || |  || |||||||||||||| ||||||||  | || |||| ||| ||||\n",
+      "\n",
+      "Sbjct  2031  TCCATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATCA  2090\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1742  CATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGTG  1801\n",
+      "\n",
+      "             |||| |||||||||||||| |||||||||| |||||| || |  ||||||||||||||||\n",
+      "\n",
+      "Sbjct  2091  CATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATTTGCGCTGCATTTCTTCGTG  2150\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1802  CTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGAA  1861\n",
+      "\n",
+      "             |||||||||  || | | | || || ||||||||| ||||||| |||||  |||  |  |\n",
+      "\n",
+      "Sbjct  2151  CTCACAGAATAGCTACGAGGCAACTTCATGATTTTATTGGTGACAGTGAAATTGCTACTA  2210\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1862  CTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTTC  1921\n",
+      "\n",
+      "             |||| ||| ||||||| || ||||||||||||||||||| ||| ||  ||||||||||||\n",
+      "\n",
+      "Sbjct  2211  CTGTCATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTTC  2270\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1922  GTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTAT  1981\n",
+      "\n",
+      "             |||| || ||||| ||||| || ||||   | ||  |  |||| || ||||||||| |||\n",
+      "\n",
+      "Sbjct  2271  GTGTCACATTCCCTCAGGTTCTTCGTGCTGTGAAAACAAGACAAGTAACATATTCAATAT  2330\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1982  TGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAGG  2041\n",
+      "\n",
+      "             ||| ||| |||||||| ||| | ||||| ||  |||||   || || || ||  ||||||\n",
+      "\n",
+      "Sbjct  2331  TGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGATTACTAGAACAAAAGG  2390\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2042  AAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCAC  2101\n",
+      "\n",
+      "             | |||   ||| ||||||||  | ||||||| |||||||| ||  |   ||| |||||||\n",
+      "\n",
+      "Sbjct  2391  AGATGTATCATCTAGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCAC  2450\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2102  CGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCAC  2161\n",
+      "\n",
+      "             |  ||||||||||||||| | |  ||||||| ||||   | ||||||||| | |||||||\n",
+      "\n",
+      "Sbjct  2451  CTTTGGTGAAAATGCCAAAAATAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCAC  2510\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2162  TGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCAT  2220\n",
+      "\n",
+      "             ||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |  || |\n",
+      "\n",
+      "Sbjct  2511  TGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACTAAAGAAATAATGAAAATGCGT  2569\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2221  GGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGGT  2280\n",
+      "\n",
+      "             |||  ||  || |||||||| || || || || | |||  | |||||  | ||| |||| \n",
+      "\n",
+      "Sbjct  2570  GGTGTGACCCTGTATAAGGAGGGTTCCAGACCAAATGGGATGTGGCTCATATCAGTAGGA  2629\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2281  GTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATCA  2340\n",
+      "\n",
+      "             || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| |||\n",
+      "\n",
+      "Sbjct  2630  GTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCATTACATCCAACTTTTTCA  2689\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2341  CACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATATG  2400\n",
+      "\n",
+      "             || |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| ||||||\n",
+      "\n",
+      "Sbjct  2690  CATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATATG  2749\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2401  ATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACTT  2457\n",
+      "\n",
+      "             || || || || || || |||||||||||  | ||| ||||||||||  ||  |  ||||\n",
+      "\n",
+      "Sbjct  2750  ATCACTGACTCAGTAGTACATTGTTTCTTCATCGAAACTGAAAAGATACTGTCCTTACTT  2809\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2458  CGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGCC  2517\n",
+      "\n",
+      "              |   ||| |  |||  | |||| | ||| || |||||||||||  |  | || || |||\n",
+      "\n",
+      "Sbjct  2810  GG---ATCAGGCCCTGTTGTTGAAGATTTTCTATGGCAGGAAAGTGCTATGGTGATAGCC  2866\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2518  AGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCATT  2577\n",
+      "\n",
+      "             |  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  ||\n",
+      "\n",
+      "Sbjct  2867  AAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGTT  2926\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2578  GCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAGT  2637\n",
+      "\n",
+      "             ||||||||  | | ||||||| | || || |  || || |  || ||| |     ||| |\n",
+      "\n",
+      "Sbjct  2927  GCTGAAAGAACAAATATGAACATTTATATAAGAGGAGAGGTTATAGAAATAAGACACAAT  2986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2638  TACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCATC  2691\n",
+      "\n",
+      "             | |||||||||| || ||||||||||| | |||| ||||||  ||   ||| |  | || \n",
+      "\n",
+      "Sbjct  2987  TCCATTGGCATTTTGTTGGAAGGATTTATAAAGACCCAAGATGGTCAACAAGACTTGATT  3046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2692  ACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAATC  2750\n",
+      "\n",
+      "             |||||||| || |   || | || ||  | | | | || || | |  ||||||| |||||\n",
+      "\n",
+      "Sbjct  3047  ACACCTCCTGCAGCTTTGTTACCGTCACACAGTGATCTAAG-CTTTCTTGGTCTGGAATC  3105\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2751  TTCAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATCAAGTGGAGGCGAG  2810\n",
+      "\n",
+      "             ||||| | ||||| | ||   || |||  | |  |   || | ||||| || ||  | ||\n",
+      "\n",
+      "Sbjct  3106  TTCAGGTTTGAACAACGTAAGCTTCTGTCACATGGGTACCTGGTATCAGGTTGAAACAAG  3165\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2811  AGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGGCTGACATCCAGAG  2870\n",
+      "\n",
+      "             ||| ||| | ||||| || || ||||| |  |||   ||||  || | ||   | |||| \n",
+      "\n",
+      "Sbjct  3166  AGCCAGGGTGATCTTTTTCGACATAGGTACAGTT---GAGGCTGAAGGTGCTCTACAGAA  3222\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2871  AAG---CGCATCTTTGTTGTCCCAGAC---CCATGAACCTCCTCGGACACTGAGCAAAGA  2924\n",
+      "\n",
+      "              ||    ||||| | | | || ||  |   |  ||||| ||| || |  || || | |||\n",
+      "\n",
+      "Sbjct  3223  GAGGTCTGCATCGTGGGTCTCGCAAGCTGGCATTGAACTTCCACGAAACCTAAGTAGAGA  3282\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2925  GCATAGTGGTCTGCTCAGTTGGCCAGAAA  2953\n",
+      "\n",
+      "              ||| | ||| |||| || ||||| ||||\n",
+      "\n",
+      "Sbjct  3283  ACATGGAGGTTTGCTTAGCTGGCCTGAAA  3311\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_029267926.1 PREDICTED: Elaeis guineensis sodium/hydrogen exchanger 7 (LOC105056363), \n",
+      "\n",
+      "transcript variant X4, mRNA\n",
+      "\n",
+      "Length=3218\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1922 bits (2131),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2099/2770 (76%), Gaps = 26/2770 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  333   GCCGGAACCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  392\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||| ||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  393   GAGGCATCTCCTTCGTGGTACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  452\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  || || || |||||||  || ||    |||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  453   CGGTCTTGGATCTCTCGAATATGGGACAAGCCATGGCTTAGGAAAACTGGGAGCTGGCAT  512\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || || || |||| ||| || ||  | || ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  513   TCGCTTATGGGCAAATATTAATCCTGTTCTCCTATTATCCGTCTTTCTTCCTGCTCTTCT  572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  573   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  |||||  || |  ||||| |\n",
+      "\n",
+      "Sbjct  633   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAGCTTTATTAAAGAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              ||| ||||||| |||||||  |||||   | |||||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  693   CACTCTTCCATATAACTGGAATTGGAACACAACATTGTTGCTGGGAGGGCTTCTTAGTGC  752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  |||| |||||||||||||||||||||||||| | \n",
+      "\n",
+      "Sbjct  753   TACAGATCCTGTTGCTGTTGTGGCTTTGCTGAAAGAACTTGGAGCAAGTAAAAAGCTGAA  812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| || ||||| | ||| ||\n",
+      "\n",
+      "Sbjct  813   CACAATAATTGAAGGGGAATCCTTAATGAATGATGGAACTGCGATCGTTGTATTTCAGCT  872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGG-AAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTAT  607\n",
+      "\n",
+      "              || |  |||||||| || ||  |||| |||  |||  ||    || ||||| || ||||\n",
+      "\n",
+      "Sbjct  873   GTTCTACCGAATGGTCCTTGGCCAGAA-CTTCAATGTGGGAGACATCATAAAATTTTTAT  931\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  608   TGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGT  667\n",
+      "\n",
+      "                ||||| |  | || || || ||| |||| || || || ||||| | ||| |||||||\n",
+      "\n",
+      "Sbjct  932   CACAAGTTTCATTGGGAGCAGTAGCTATGGGGCTAGCTTTTGGAATAGCATCTGTACTGT  991\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  668   GGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCT  727\n",
+      "\n",
+      "             |||||||||||||||| ||||| ||  | |||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  992   GGCTGGGCTTTATTTTCAATGACACGGTTATAGAGATTGCATTGACTCTTGCTGTCAGCT  1051\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  728   ATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGA  787\n",
+      "\n",
+      "             |  | |||||||||||||| ||||||  |   || |||||||| || ||| | || ||||\n",
+      "\n",
+      "Sbjct  1052  ACCTTGCTTTCTTCACTGCTCAAGATGGGGCAGACGTTTCTGGCGTCTTGACAGTAATGA  1111\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  788   CGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAA  847\n",
+      "\n",
+      "             |  | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  1112  CTCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAA  1171\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  848   GTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGA  907\n",
+      "\n",
+      "             |||| |||||||||||||||||||| |||||||| || ||||| || |||||||| ||||\n",
+      "\n",
+      "Sbjct  1172  GTTTGCATCATTTTTGGGAAATGGTAGCTTACATTGCCAATACTCTAATTTTTATCTTGA  1231\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  908   GTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCA  967\n",
+      "\n",
+      "             ||||||| |||||||| || ||||| || || ||| ||   || || |||| ||||||  \n",
+      "\n",
+      "Sbjct  1232  GTGGGGTTGTTATTGCTGAAGGTGTACTGCAGAATGATAACCACTTCGAAAAACATGGTG  1291\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  968   CTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTG  1027\n",
+      "\n",
+      "             |||| |||||   |||| || |||||||| | ||||||| |   || ||| |  ||||||\n",
+      "\n",
+      "Sbjct  1292  CTTCATGGGGCCACCTTGTTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTG  1351\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1028  TTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCA  1087\n",
+      "\n",
+      "             ||||  |  | |||||||| ||| |   |||||| ||||||||||||| |||||| || |\n",
+      "\n",
+      "Sbjct  1352  TTGGGCTACTATATCCATTTTTGCGGTACTTTGGCTATGGTTTGGACTGGAAAGAAGCAA  1411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1088  TAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTA  1147\n",
+      "\n",
+      "             | |||||||| ||||| ||  || ||||||| || ||| | || |||||| ||||||| |\n",
+      "\n",
+      "Sbjct  1412  TTATTCTTGTATGGTCGGGATTGCGAGGGGCCGTGGCTTTGTCGCTATCACTATCTGTCA  1471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1148  AACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTG  1204\n",
+      "\n",
+      "             ||||| | || |||      | ||| ||| ||||  ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1472  AACGTGCTAGCGATAACTTGGACCATACTCATCTCAAACCAGAAGTTGGAACATTGTTTG  1531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1205  TGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAAT  1264\n",
+      "\n",
+      "             | |||||||||||||| ||||| || |||||| ||||| | ||||| |||||||| || |\n",
+      "\n",
+      "Sbjct  1532  TATTCTTCACTGGTGGGATTGTTTTCCTGACACTGATTATCAATGGATCAACCACTCAGT  1591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1265  TTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAAT  1324\n",
+      "\n",
+      "             | || || ||| | || |  ||||| ||||| |||||||||||| |||| |||||||| |\n",
+      "\n",
+      "Sbjct  1592  TCTTGTTGCATCTTCTAGAAATGGATAAACTCTCAGCAACAAAGATTCGTATATTGAACT  1651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1325  ATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATG  1384\n",
+      "\n",
+      "             |||||||  |||||||| | ||||| ||||||||||| |||||||| ||| | |||||||\n",
+      "\n",
+      "Sbjct  1652  ATACAAGGTATGAAATGTTAAACAAGGCATTAGAGGCATTTGGTGATCTTGGTGATGATG  1711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1385  AAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACT  1444\n",
+      "\n",
+      "             | || || || ||||||||||||   |||||  ||| |||||| || || ||   | || \n",
+      "\n",
+      "Sbjct  1712  AGGAACTAGGGCCTGCTGATTGGTCCACTGTGCAGAGATATATCACTTGCTTAAGTAACA  1771\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1445  TGGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||||| | ||  |  ||||| ||   ||    ||| || || || |  | ||||  | \n",
+      "\n",
+      "Sbjct  1772  TGGATGAAGGACAGGTACATCCTCACATTGTTGCTGAAAACGAGTATCATC-TGCAGTCT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||  | || || || ||||| || ||||| |||||||| || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  1831  ATGAATTTGAGAGACATTCGAGTACGCCTTCTAAATGGTGTGCAGGCTGCTTACTGGGGA  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||||||| | ||||| ||  |||| |||| | |||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1891  ATGCTTGAAGAGGGAAGGATAACCCAGACTACTGCAATTCTTCTGATGCGATCTGTTGAT  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             || ||||||||  |  | ||  |  ||||  || |||||||| |||||||| | || |||\n",
+      "\n",
+      "Sbjct  1951  GAGGCTATGGATGTGGTATCTGGTGAACCTCTAGGTGATTGGAAGGGTTTAAAGTCAAAT  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || || || || |  || |||||||||||||| ||||||||  | || |||| ||| |||\n",
+      "\n",
+      "Sbjct  2011  GTACATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATC  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             ||||| |||||||||||||| |||||||||| |||||| ||||  |||||||||||||||\n",
+      "\n",
+      "Sbjct  2071  ACATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATATGCGCTGCATTTCTTCGT  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  || ||| | || || | ||||||| ||||||| |||||  |||  |  \n",
+      "\n",
+      "Sbjct  2131  GCTCACAGAATAGCTAGGAGGCAACTTCGTGATTTTATTGGTGACAGTGAAATTGCTACT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             ||||||||| ||||||| || ||||||||||||||||||| ||| ||  |||||||||||\n",
+      "\n",
+      "Sbjct  2191  ACTGTTATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTT  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             | ||| || || || ||||| || |||||  | ||  |  |||| || ||||||||| ||\n",
+      "\n",
+      "Sbjct  2251  CATGTCACATTTCCTCAGGTTCTCCGTGTTGTGAAAACAAGACAAGTAACATATTCAATA  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             |||| ||| |||||||| ||| | ||||| ||  |||||   ||||| || ||  |||| \n",
+      "\n",
+      "Sbjct  2311  TTGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGGTTACTAGAAAAAAAA  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             || |||   ||| | ||||||  | ||||||| |||||||| ||  |   ||| ||||||\n",
+      "\n",
+      "Sbjct  2371  GAGATGGATCATCTTGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCA  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  ||||||||||||||| |||  ||||||| ||||   | ||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  2431  CCTTTGGTGAAAATGCCAAAAGTAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCA  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "             |||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |   | \n",
+      "\n",
+      "Sbjct  2491  CTGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACGAAAGAAATAATGAAAACTCG  2549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "             ||||  ||  || ||||| || || || ||||| | |||  | |||||  | ||| ||||\n",
+      "\n",
+      "Sbjct  2550  TGGTGTGACGCTGTATAAAGAGGGTTCCAGGCCAAATGGGATGTGGCTGATATCAGTAGG  2609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "              || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| ||\n",
+      "\n",
+      "Sbjct  2610  AGTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCGTTACATCCAACTTTTTC  2669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| |||||\n",
+      "\n",
+      "Sbjct  2670  ACATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATAT  2729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACT  2456\n",
+      "\n",
+      "             ||| ||||| ||||| || || ||||||||| | ||| ||||||||||  ||  |  |||\n",
+      "\n",
+      "Sbjct  2730  GATCACAGACTCTGTAGTACACTGTTTCTTTATTGAAACTGAAAAGATACTGTCCTTACT  2789\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2457  TCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGC  2516\n",
+      "\n",
+      "             | |   ||| |  ||  ||||||| | ||| || |||||||||||  |  |||| || ||\n",
+      "\n",
+      "Sbjct  2790  TGG---ATCAGGCCCCCCTATTGAAGATTTTCTATGGCAGGAAAGTGCTATAGTCATAGC  2846\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2517  CAGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT  2576\n",
+      "\n",
+      "             ||  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  |\n",
+      "\n",
+      "Sbjct  2847  CAAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGT  2906\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAG  2636\n",
+      "\n",
+      "             | ||||||| ||   ||||||| | || || |  || || | ||| ||| |     ||| \n",
+      "\n",
+      "Sbjct  2907  TTCTGAAAGATCAGATATGAACATTTATATAAGAGGAGAGGTCATAGAAATAAGACACAA  2966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2637  TTACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCAT  2690\n",
+      "\n",
+      "             || ||||||| || || | ||||||||| | |||| ||||||  ||   ||| |  | ||\n",
+      "\n",
+      "Sbjct  2967  TTCCATTGGCTTTTTGTTAGAAGGATTTATAAAGACCCAAGATGGTCAGCAAGACTTGAT  3026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2691  CACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAAT  2749\n",
+      "\n",
+      "              |||||||| || |   || |||||||  | | | | | ||| | |  | | ||| ||||\n",
+      "\n",
+      "Sbjct  3027  TACACCTCCTGCAGCATTGGTTCCATCACACAGTGACCATAG-CTTTCTCGATCTAGAAT  3085\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2750  CTTCAGCTAT  2759\n",
+      "\n",
+      "             |||||| |||\n",
+      "\n",
+      "Sbjct  3086  CTTCAGTTAT  3095\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_010938529.3 PREDICTED: Elaeis guineensis sodium/hydrogen exchanger 7 (LOC105056363), \n",
+      "\n",
+      "transcript variant X1, mRNA\n",
+      "\n",
+      "Length=4240\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1920 bits (2129),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2229/2986 (75%), Gaps = 47/2986 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  333   GCCGGAACCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  392\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||| ||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  393   GAGGCATCTCCTTCGTGGTACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  452\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  || || || |||||||  || ||    |||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  453   CGGTCTTGGATCTCTCGAATATGGGACAAGCCATGGCTTAGGAAAACTGGGAGCTGGCAT  512\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || || || |||| ||| || ||  | || ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  513   TCGCTTATGGGCAAATATTAATCCTGTTCTCCTATTATCCGTCTTTCTTCCTGCTCTTCT  572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  573   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  |||||  || |  ||||| |\n",
+      "\n",
+      "Sbjct  633   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAGCTTTATTAAAGAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              ||| ||||||| |||||||  |||||   | |||||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  693   CACTCTTCCATATAACTGGAATTGGAACACAACATTGTTGCTGGGAGGGCTTCTTAGTGC  752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  |||| |||||||||||||||||||||||||| | \n",
+      "\n",
+      "Sbjct  753   TACAGATCCTGTTGCTGTTGTGGCTTTGCTGAAAGAACTTGGAGCAAGTAAAAAGCTGAA  812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| || ||||| | ||| ||\n",
+      "\n",
+      "Sbjct  813   CACAATAATTGAAGGGGAATCCTTAATGAATGATGGAACTGCGATCGTTGTATTTCAGCT  872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGG-AAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTAT  607\n",
+      "\n",
+      "              || |  |||||||| || ||  |||| |||  |||  ||    || ||||| || ||||\n",
+      "\n",
+      "Sbjct  873   GTTCTACCGAATGGTCCTTGGCCAGAA-CTTCAATGTGGGAGACATCATAAAATTTTTAT  931\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  608   TGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGT  667\n",
+      "\n",
+      "                ||||| |  | || || || ||| |||| || || || ||||| | ||| |||||||\n",
+      "\n",
+      "Sbjct  932   CACAAGTTTCATTGGGAGCAGTAGCTATGGGGCTAGCTTTTGGAATAGCATCTGTACTGT  991\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  668   GGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCT  727\n",
+      "\n",
+      "             |||||||||||||||| ||||| ||  | |||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  992   GGCTGGGCTTTATTTTCAATGACACGGTTATAGAGATTGCATTGACTCTTGCTGTCAGCT  1051\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  728   ATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGA  787\n",
+      "\n",
+      "             |  | |||||||||||||| ||||||  |   || |||||||| || ||| | || ||||\n",
+      "\n",
+      "Sbjct  1052  ACCTTGCTTTCTTCACTGCTCAAGATGGGGCAGACGTTTCTGGCGTCTTGACAGTAATGA  1111\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  788   CGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAA  847\n",
+      "\n",
+      "             |  | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  1112  CTCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAA  1171\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  848   GTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGA  907\n",
+      "\n",
+      "             |||| |||||||||||||||||||| |||||||| || ||||| || |||||||| ||||\n",
+      "\n",
+      "Sbjct  1172  GTTTGCATCATTTTTGGGAAATGGTAGCTTACATTGCCAATACTCTAATTTTTATCTTGA  1231\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  908   GTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCA  967\n",
+      "\n",
+      "             ||||||| |||||||| || ||||| || || ||| ||   || || |||| ||||||  \n",
+      "\n",
+      "Sbjct  1232  GTGGGGTTGTTATTGCTGAAGGTGTACTGCAGAATGATAACCACTTCGAAAAACATGGTG  1291\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  968   CTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTG  1027\n",
+      "\n",
+      "             |||| |||||   |||| || |||||||| | ||||||| |   || ||| |  ||||||\n",
+      "\n",
+      "Sbjct  1292  CTTCATGGGGCCACCTTGTTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTG  1351\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1028  TTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCA  1087\n",
+      "\n",
+      "             ||||  |  | |||||||| ||| |   |||||| ||||||||||||| |||||| || |\n",
+      "\n",
+      "Sbjct  1352  TTGGGCTACTATATCCATTTTTGCGGTACTTTGGCTATGGTTTGGACTGGAAAGAAGCAA  1411\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1088  TAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTA  1147\n",
+      "\n",
+      "             | |||||||| ||||| ||  || ||||||| || ||| | || |||||| ||||||| |\n",
+      "\n",
+      "Sbjct  1412  TTATTCTTGTATGGTCGGGATTGCGAGGGGCCGTGGCTTTGTCGCTATCACTATCTGTCA  1471\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1148  AACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTG  1204\n",
+      "\n",
+      "             ||||| | || |||      | ||| ||| ||||  ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1472  AACGTGCTAGCGATAACTTGGACCATACTCATCTCAAACCAGAAGTTGGAACATTGTTTG  1531\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1205  TGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAAT  1264\n",
+      "\n",
+      "             | |||||||||||||| ||||| || |||||| ||||| | ||||| |||||||| || |\n",
+      "\n",
+      "Sbjct  1532  TATTCTTCACTGGTGGGATTGTTTTCCTGACACTGATTATCAATGGATCAACCACTCAGT  1591\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1265  TTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAAT  1324\n",
+      "\n",
+      "             | || || ||| | || |  ||||| ||||| |||||||||||| |||| |||||||| |\n",
+      "\n",
+      "Sbjct  1592  TCTTGTTGCATCTTCTAGAAATGGATAAACTCTCAGCAACAAAGATTCGTATATTGAACT  1651\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1325  ATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATG  1384\n",
+      "\n",
+      "             |||||||  |||||||| | ||||| ||||||||||| |||||||| ||| | |||||||\n",
+      "\n",
+      "Sbjct  1652  ATACAAGGTATGAAATGTTAAACAAGGCATTAGAGGCATTTGGTGATCTTGGTGATGATG  1711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1385  AAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACT  1444\n",
+      "\n",
+      "             | || || || ||||||||||||   |||||  ||| |||||| || || ||   | || \n",
+      "\n",
+      "Sbjct  1712  AGGAACTAGGGCCTGCTGATTGGTCCACTGTGCAGAGATATATCACTTGCTTAAGTAACA  1771\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1445  TGGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||||| | ||  |  ||||| ||   ||    ||| || || || |  | ||||  | \n",
+      "\n",
+      "Sbjct  1772  TGGATGAAGGACAGGTACATCCTCACATTGTTGCTGAAAACGAGTATCATC-TGCAGTCT  1830\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||  | || || || ||||| || ||||| |||||||| || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  1831  ATGAATTTGAGAGACATTCGAGTACGCCTTCTAAATGGTGTGCAGGCTGCTTACTGGGGA  1890\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||||||| | ||||| ||  |||| |||| | |||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1891  ATGCTTGAAGAGGGAAGGATAACCCAGACTACTGCAATTCTTCTGATGCGATCTGTTGAT  1950\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             || ||||||||  |  | ||  |  ||||  || |||||||| |||||||| | || |||\n",
+      "\n",
+      "Sbjct  1951  GAGGCTATGGATGTGGTATCTGGTGAACCTCTAGGTGATTGGAAGGGTTTAAAGTCAAAT  2010\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || || || || |  || |||||||||||||| ||||||||  | || |||| ||| |||\n",
+      "\n",
+      "Sbjct  2011  GTACATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATC  2070\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             ||||| |||||||||||||| |||||||||| |||||| ||||  |||||||||||||||\n",
+      "\n",
+      "Sbjct  2071  ACATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATATGCGCTGCATTTCTTCGT  2130\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  || ||| | || || | ||||||| ||||||| |||||  |||  |  \n",
+      "\n",
+      "Sbjct  2131  GCTCACAGAATAGCTAGGAGGCAACTTCGTGATTTTATTGGTGACAGTGAAATTGCTACT  2190\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             ||||||||| ||||||| || ||||||||||||||||||| ||| ||  |||||||||||\n",
+      "\n",
+      "Sbjct  2191  ACTGTTATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTT  2250\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             | ||| || || || ||||| || |||||  | ||  |  |||| || ||||||||| ||\n",
+      "\n",
+      "Sbjct  2251  CATGTCACATTTCCTCAGGTTCTCCGTGTTGTGAAAACAAGACAAGTAACATATTCAATA  2310\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             |||| ||| |||||||| ||| | ||||| ||  |||||   ||||| || ||  |||| \n",
+      "\n",
+      "Sbjct  2311  TTGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGGTTACTAGAAAAAAAA  2370\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             || |||   ||| | ||||||  | ||||||| |||||||| ||  |   ||| ||||||\n",
+      "\n",
+      "Sbjct  2371  GAGATGGATCATCTTGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCA  2430\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  ||||||||||||||| |||  ||||||| ||||   | ||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  2431  CCTTTGGTGAAAATGCCAAAAGTAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCA  2490\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "             |||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |   | \n",
+      "\n",
+      "Sbjct  2491  CTGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACGAAAGAAATAATGAAAACTCG  2549\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "             ||||  ||  || ||||| || || || ||||| | |||  | |||||  | ||| ||||\n",
+      "\n",
+      "Sbjct  2550  TGGTGTGACGCTGTATAAAGAGGGTTCCAGGCCAAATGGGATGTGGCTGATATCAGTAGG  2609\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "              || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| ||\n",
+      "\n",
+      "Sbjct  2610  AGTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCGTTACATCCAACTTTTTC  2669\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| |||||\n",
+      "\n",
+      "Sbjct  2670  ACATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATAT  2729\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACT  2456\n",
+      "\n",
+      "             ||| ||||| ||||| || || ||||||||| | ||| ||||||||||  ||  |  |||\n",
+      "\n",
+      "Sbjct  2730  GATCACAGACTCTGTAGTACACTGTTTCTTTATTGAAACTGAAAAGATACTGTCCTTACT  2789\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2457  TCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGC  2516\n",
+      "\n",
+      "             | |   ||| |  ||  ||||||| | ||| || |||||||||||  |  |||| || ||\n",
+      "\n",
+      "Sbjct  2790  TGG---ATCAGGCCCCCCTATTGAAGATTTTCTATGGCAGGAAAGTGCTATAGTCATAGC  2846\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2517  CAGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT  2576\n",
+      "\n",
+      "             ||  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  |\n",
+      "\n",
+      "Sbjct  2847  CAAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGT  2906\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAG  2636\n",
+      "\n",
+      "             | ||||||| ||   ||||||| | || || |  || || | ||| ||| |     ||| \n",
+      "\n",
+      "Sbjct  2907  TTCTGAAAGATCAGATATGAACATTTATATAAGAGGAGAGGTCATAGAAATAAGACACAA  2966\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2637  TTACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCAT  2690\n",
+      "\n",
+      "             || ||||||| || || | ||||||||| | |||| ||||||  ||   ||| |  | ||\n",
+      "\n",
+      "Sbjct  2967  TTCCATTGGCTTTTTGTTAGAAGGATTTATAAAGACCCAAGATGGTCAGCAAGACTTGAT  3026\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2691  CACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAAT  2749\n",
+      "\n",
+      "              |||||||| || |   || |||||||  | | | | | ||| | |  | | ||| ||||\n",
+      "\n",
+      "Sbjct  3027  TACACCTCCTGCAGCATTGGTTCCATCACACAGTGACCATAG-CTTTCTCGATCTAGAAT  3085\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2750  CTT------------CAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATC  2797\n",
+      "\n",
+      "             |||            ||| |  |||| |   |  || |||  | |  |   || | ||||\n",
+      "\n",
+      "Sbjct  3086  CTTCAGAAGAAATTGCAGGTTCGAACAACAAGAGCTTCTGTCACATGGGATCCTGGTATC  3145\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2798  AAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGG  2857\n",
+      "\n",
+      "             | || ||  | ||||| ||| | ||||| || || ||||| |  |||   ||||  || |\n",
+      "\n",
+      "Sbjct  3146  AGGTTGAAACAAGAGCCAGGGTGATCTTTTTCGACATAGGTACAGTT---GAGGCTGAAG  3202\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2858  CTGACATCCAGAGAA---GCGCATCTTTGTTGTCCCAGAC--CCA-TGAACCTCCTCGGA  2911\n",
+      "\n",
+      "              ||   | ||||| |     ||||| | | | |||||  |  ||| ||||||||| || |\n",
+      "\n",
+      "Sbjct  3203  GTGTTCTTCAGAGGACGTCTGCATCATGGGTCTCCCAAGCTGCCATTGAACCTCCGCGAA  3262\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2912  CACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTT  2957\n",
+      "\n",
+      "               || |||  ||||||| | ||| | || || ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  3263  GCCTAAGCCGAGAGCATGGAGGTTTTCTTAGCTGGCCTGAAAGTTT  3308\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_010938529.2 PREDICTED: Elaeis guineensis sodium/hydrogen exchanger 8 (LOC105056363), \n",
+      "\n",
+      "transcript variant X1, mRNA\n",
+      "\n",
+      "Length=4235\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 1920 bits (2129),  Expect = 0.0\n",
+      "\n",
+      " Identities = 2229/2986 (75%), Gaps = 47/2986 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  9     GCCTGATCCTGACGATGCGGTGCTCTTCGTTGCGGTCTCGCTGGTGCTGGGAATCGCCTC  68\n",
+      "\n",
+      "             ||| || || ||||| |||||| | ||||||| ||||||  ||||||| || ||||| ||\n",
+      "\n",
+      "Sbjct  328   GCCGGAACCGGACGACGCGGTGGTGTTCGTTGGGGTCTCCTTGGTGCTCGGGATCGCTTC  387\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  69    GCGCCACCTGCTCCGTGGCACCCGCGTCCCCTACACCGTTGCCCTTCTCATCCTCGGCGT  128\n",
+      "\n",
+      "             | | || || || ||||| ||| | || || |||||||| ||||||||| | || ||| |\n",
+      "\n",
+      "Sbjct  388   GAGGCATCTCCTTCGTGGTACCAGAGTTCCTTACACCGTCGCCCTTCTCGTTCTTGGCAT  447\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  129   TGCCCTCGGCTCCCTCGAATTCGGAACTCCACATGGTCTGGGCAAACTTGGAGCTGGCAT  188\n",
+      "\n",
+      "              |  || || || |||||||  || ||    |||||  | || ||||| |||||||||||\n",
+      "\n",
+      "Sbjct  448   CGGTCTTGGATCTCTCGAATATGGGACAAGCCATGGCTTAGGAAAACTGGGAGCTGGCAT  507\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  189   TCGTATTTGGGCTAACATAAACCCTGATCTTCTGTTGGCTGTTTTTCTACCTGCCCTCTT  248\n",
+      "\n",
+      "             |||  | ||||| || || || |||| ||| || ||  | || ||||| ||||| ||  |\n",
+      "\n",
+      "Sbjct  508   TCGCTTATGGGCAAATATTAATCCTGTTCTCCTATTATCCGTCTTTCTTCCTGCTCTTCT  567\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  249   GTTCGAAAGCTCGTTTTCAATGGAGATTCACCAAATCAAGAGATGTATGGCACAGATGGT  308\n",
+      "\n",
+      "              || || ||||| ||| | |||||  | |||||||| |||||||| |||||||| ||| |\n",
+      "\n",
+      "Sbjct  568   TTTTGAGAGCTCCTTTGCCATGGAAGTGCACCAAATAAAGAGATGCATGGCACAAATGCT  627\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  309   GCTGCTTGCTGGACCAGGTGTCGTGATATCAACAATTTTACTTGGCACTCTTGTAAAGGT  368\n",
+      "\n",
+      "              || ||||||||||| |||||  | ||||| ||  |||  |||||  || |  ||||| |\n",
+      "\n",
+      "Sbjct  628   ACTACTTGCTGGACCTGGTGTGCTCATATCGACCTTTTGCCTTGGAGCTTTATTAAAGAT  687\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  369   TACTTTTCCATACAACTGGAGCTGGAAAGTATCATTGTTGCTTGGTGGACTTCTTAGTGC  428\n",
+      "\n",
+      "              ||| ||||||| |||||||  |||||   | |||||||||| || || |||||||||||\n",
+      "\n",
+      "Sbjct  688   CACTCTTCCATATAACTGGAATTGGAACACAACATTGTTGCTGGGAGGGCTTCTTAGTGC  747\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  429   AACTGATCCTGTTGCTGTGGTTGCACTGCTAAAAGAACTTGGAGCAAGTAAAAAGCTCAG  488\n",
+      "\n",
+      "              || |||||||||||||| || ||  |||| |||||||||||||||||||||||||| | \n",
+      "\n",
+      "Sbjct  748   TACAGATCCTGTTGCTGTTGTGGCTTTGCTGAAAGAACTTGGAGCAAGTAAAAAGCTGAA  807\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  489   TACAATAATTGAGGGTGAATCGCTAATGAACGATGGGACTGCTATTGTTGTCTATCAACT  548\n",
+      "\n",
+      "              ||||||||||| || |||||  ||||||| ||||| ||||| || ||||| | ||| ||\n",
+      "\n",
+      "Sbjct  808   CACAATAATTGAAGGGGAATCCTTAATGAATGATGGAACTGCGATCGTTGTATTTCAGCT  867\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  549   ATTTTTACGAATGGTGCTCGG-AAGAACCTTTGATGCTGGCTCAATGATAAAGTTCTTAT  607\n",
+      "\n",
+      "              || |  |||||||| || ||  |||| |||  |||  ||    || ||||| || ||||\n",
+      "\n",
+      "Sbjct  868   GTTCTACCGAATGGTCCTTGGCCAGAA-CTTCAATGTGGGAGACATCATAAAATTTTTAT  926\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  608   TGGAAGTTGCGCTTGGGGCTGTTGCTTTGGGCCTTGCATTCGGAATTGTATCAGTACTGT  667\n",
+      "\n",
+      "                ||||| |  | || || || ||| |||| || || || ||||| | ||| |||||||\n",
+      "\n",
+      "Sbjct  927   CACAAGTTTCATTGGGAGCAGTAGCTATGGGGCTAGCTTTTGGAATAGCATCTGTACTGT  986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  668   GGCTGGGCTTTATTTTTAATGATACAATCATAGAGATTGCACTTACTCTTGCTGTCAGCT  727\n",
+      "\n",
+      "             |||||||||||||||| ||||| ||  | |||||||||||| | ||||||||||||||||\n",
+      "\n",
+      "Sbjct  987   GGCTGGGCTTTATTTTCAATGACACGGTTATAGAGATTGCATTGACTCTTGCTGTCAGCT  1046\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  728   ATATAGCTTTCTTCACTGCCCAAGATTCGCTGGAGGTTTCTGGTGTTTTGGCTGTCATGA  787\n",
+      "\n",
+      "             |  | |||||||||||||| ||||||  |   || |||||||| || ||| | || ||||\n",
+      "\n",
+      "Sbjct  1047  ACCTTGCTTTCTTCACTGCTCAAGATGGGGCAGACGTTTCTGGCGTCTTGACAGTAATGA  1106\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  788   CGTTGGGAATGTTTTATGCAGCTTTTGCAAAAACCGCTTTCAAGGGTGATAGCCAGGAAA  847\n",
+      "\n",
+      "             |  | |||||||| ||||||||| |||||| ||| ||||| ||||||||| ||||| |||\n",
+      "\n",
+      "Sbjct  1107  CTCTAGGAATGTTCTATGCAGCTGTTGCAAGAACAGCTTTTAAGGGTGATGGCCAGCAAA  1166\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  848   GTTTACATCATTTTTGGGAAATGGTTGCTTACATCGCAAATACCCTTATTTTTATATTGA  907\n",
+      "\n",
+      "             |||| |||||||||||||||||||| |||||||| || ||||| || |||||||| ||||\n",
+      "\n",
+      "Sbjct  1167  GTTTGCATCATTTTTGGGAAATGGTAGCTTACATTGCCAATACTCTAATTTTTATCTTGA  1226\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  908   GTGGGGTGGTTATTGCAGATGGTGTTCTACAAAATAATGTTCATTTTGAAAGACATGGCA  967\n",
+      "\n",
+      "             ||||||| |||||||| || ||||| || || ||| ||   || || |||| ||||||  \n",
+      "\n",
+      "Sbjct  1227  GTGGGGTTGTTATTGCTGAAGGTGTACTGCAGAATGATAACCACTTCGAAAAACATGGTG  1286\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  968   CTTCTTGGGGTTTCCTTCTTCTGCTTTATATCTTTGTTCTAATATCCCGAGTTGTAGTTG  1027\n",
+      "\n",
+      "             |||| |||||   |||| || |||||||| | ||||||| |   || ||| |  ||||||\n",
+      "\n",
+      "Sbjct  1287  CTTCATGGGGCCACCTTGTTTTGCTTTATGTTTTTGTTCAATGCTCTCGAATCATAGTTG  1346\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1028  TTGGTGTTTTGTATCCATTGTTGTGTCGCTTTGGGTATGGTTTGGACTTGAAAGAGGCCA  1087\n",
+      "\n",
+      "             ||||  |  | |||||||| ||| |   |||||| ||||||||||||| |||||| || |\n",
+      "\n",
+      "Sbjct  1347  TTGGGCTACTATATCCATTTTTGCGGTACTTTGGCTATGGTTTGGACTGGAAAGAAGCAA  1406\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1088  TAATTCTTGTCTGGTCAGGGCTGAGAGGGGCTGTTGCTCTATCACTATCATTATCTGTTA  1147\n",
+      "\n",
+      "             | |||||||| ||||| ||  || ||||||| || ||| | || |||||| ||||||| |\n",
+      "\n",
+      "Sbjct  1407  TTATTCTTGTATGGTCGGGATTGCGAGGGGCCGTGGCTTTGTCGCTATCACTATCTGTCA  1466\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1148  AACGTACAAGTGAT---GCAGTCCAAACTTATCTGGAACCAGAAGTTGGAACAATGTTTG  1204\n",
+      "\n",
+      "             ||||| | || |||      | ||| ||| ||||  ||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1467  AACGTGCTAGCGATAACTTGGACCATACTCATCTCAAACCAGAAGTTGGAACATTGTTTG  1526\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1205  TGTTCTTCACTGGTGGCATTGTGTTTCTGACATTGATTGTAAATGGTTCAACCACACAAT  1264\n",
+      "\n",
+      "             | |||||||||||||| ||||| || |||||| ||||| | ||||| |||||||| || |\n",
+      "\n",
+      "Sbjct  1527  TATTCTTCACTGGTGGGATTGTTTTCCTGACACTGATTATCAATGGATCAACCACTCAGT  1586\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1265  TTTTCTTACATATGCTTGGCATGGACAAACTGTCAGCAACAAAGGTTCGGATATTGAAAT  1324\n",
+      "\n",
+      "             | || || ||| | || |  ||||| ||||| |||||||||||| |||| |||||||| |\n",
+      "\n",
+      "Sbjct  1587  TCTTGTTGCATCTTCTAGAAATGGATAAACTCTCAGCAACAAAGATTCGTATATTGAACT  1646\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1325  ATACAAGACATGAAATGCTGAACAAAGCATTAGAGGCTTTTGGTGAGCTTAGGGATGATG  1384\n",
+      "\n",
+      "             |||||||  |||||||| | ||||| ||||||||||| |||||||| ||| | |||||||\n",
+      "\n",
+      "Sbjct  1647  ATACAAGGTATGAAATGTTAAACAAGGCATTAGAGGCATTTGGTGATCTTGGTGATGATG  1706\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1385  AAGAGCTTGGACCTGCTGATTGGGTTACTGTAAAGAAATATATTACATGTTTGCATGACT  1444\n",
+      "\n",
+      "             | || || || ||||||||||||   |||||  ||| |||||| || || ||   | || \n",
+      "\n",
+      "Sbjct  1707  AGGAACTAGGGCCTGCTGATTGGTCCACTGTGCAGAGATATATCACTTGCTTAAGTAACA  1766\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1445  TGGATGATGAACCAGAGCATCCCCA---TGACATTGACAAGGA-TAGCCGCATGCATACC  1500\n",
+      "\n",
+      "             ||||||| | ||  |  ||||| ||   ||    ||| || || || |  | ||||  | \n",
+      "\n",
+      "Sbjct  1767  TGGATGAAGGACAGGTACATCCTCACATTGTTGCTGAAAACGAGTATCATC-TGCAGTCT  1825\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1501  ATGAACCTAAGGGATATCCGAGTTCGGCTTCTGAATGGTGTACAAGCTGCCTATTGGGGA  1560\n",
+      "\n",
+      "             |||||  | || || || ||||| || ||||| |||||||| || ||||| || ||||||\n",
+      "\n",
+      "Sbjct  1826  ATGAATTTGAGAGACATTCGAGTACGCCTTCTAAATGGTGTGCAGGCTGCTTACTGGGGA  1885\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1561  ATGCTTGAAGAGGGACGAATAACTCAAGCTACAGCAAATATTCTGATGAGATCTGTTGAT  1620\n",
+      "\n",
+      "             ||||||||||||||| | ||||| ||  |||| |||| | |||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  1886  ATGCTTGAAGAGGGAAGGATAACCCAGACTACTGCAATTCTTCTGATGCGATCTGTTGAT  1945\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1621  GAAGCTATGGACCTTATCTCCAGACAACCCTTATGTGATTGGCAGGGTTTACAATCCAAT  1680\n",
+      "\n",
+      "             || ||||||||  |  | ||  |  ||||  || |||||||| |||||||| | || |||\n",
+      "\n",
+      "Sbjct  1946  GAGGCTATGGATGTGGTATCTGGTGAACCTCTAGGTGATTGGAAGGGTTTAAAGTCAAAT  2005\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1681  GTCCAGTTCCCGAATTACTATAGATTCCTCCAGATGAGCAGGTTGCCACGAAAGCTCATC  1740\n",
+      "\n",
+      "             || || || || |  || |||||||||||||| ||||||||  | || |||| ||| |||\n",
+      "\n",
+      "Sbjct  2006  GTACATTTTCCAAGCTATTATAGATTCCTCCAAATGAGCAGACTCCCTCGAAGGCTGATC  2065\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1741  ACATACTTCACAGTAGAAAGATTGGAGTCAGGATGTTACATATCTGCTGCATTTCTTCGT  1800\n",
+      "\n",
+      "             ||||| |||||||||||||| |||||||||| |||||| ||||  |||||||||||||||\n",
+      "\n",
+      "Sbjct  2066  ACATATTTCACAGTAGAAAGGTTGGAGTCAGCATGTTATATATGCGCTGCATTTCTTCGT  2125\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1801  GCTCACAGAACTGCAAGGCGACAGCTGCATGATTTTCTTGGTGATAGTGAGGTTGTAAGA  1860\n",
+      "\n",
+      "             ||||||||||  || ||| | || || | ||||||| ||||||| |||||  |||  |  \n",
+      "\n",
+      "Sbjct  2126  GCTCACAGAATAGCTAGGAGGCAACTTCGTGATTTTATTGGTGACAGTGAAATTGCTACT  2185\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1861  ACTGTTATTGATGAAAGTAATGCTGAGGGGGAGGAAGCTAAAAAATTTCTGGAAGATGTT  1920\n",
+      "\n",
+      "             ||||||||| ||||||| || ||||||||||||||||||| ||| ||  |||||||||||\n",
+      "\n",
+      "Sbjct  2186  ACTGTTATTAATGAAAGCAACGCTGAGGGGGAGGAAGCTAGAAAGTTCTTGGAAGATGTT  2245\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1921  CGTGTTACGTTCCCGCAGGTGCTACGTGTGCTAAAGGCCCGACAGGTCACATATTCAGTA  1980\n",
+      "\n",
+      "             | ||| || || || ||||| || |||||  | ||  |  |||| || ||||||||| ||\n",
+      "\n",
+      "Sbjct  2246  CATGTCACATTTCCTCAGGTTCTCCGTGTTGTGAAAACAAGACAAGTAACATATTCAATA  2305\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1981  TTGACACACCTGAGTGAGTATATTCAAAACCTCCAGAAGACAGGGTTGCTGGAGGAAAAG  2040\n",
+      "\n",
+      "             |||| ||| |||||||| ||| | ||||| ||  |||||   ||||| || ||  |||| \n",
+      "\n",
+      "Sbjct  2306  TTGAAACATCTGAGTGAATATGTGCAAAATCTTGAGAAGGTTGGGTTACTAGAAAAAAAA  2365\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2041  GAAATGATGCATTTAGATGATGCTTTGCAGACAGACTTAAAGAAATTGAAAAGGAATCCA  2100\n",
+      "\n",
+      "             || |||   ||| | ||||||  | ||||||| |||||||| ||  |   ||| ||||||\n",
+      "\n",
+      "Sbjct  2366  GAGATGGATCATCTTGATGATATTGTGCAGACTGACTTAAAAAAGCTTCTAAGAAATCCA  2425\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2101  CCGATGGTGAAAATGCCAAGAGTTGGTGATCTTTTAAACACGCATCCTTTAGTAGGTGCA  2160\n",
+      "\n",
+      "             ||  ||||||||||||||| |||  ||||||| ||||   | ||||||||| | ||||||\n",
+      "\n",
+      "Sbjct  2426  CCTTTGGTGAAAATGCCAAAAGTAAGTGATCTATTAAGTGCACATCCTTTATTGGGTGCA  2485\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2161  CTGCCTGCTGTCACACGTGATCCTTTATTAAGTA-ATACAAAAGAAACTGTACGAGGGCA  2219\n",
+      "\n",
+      "             |||||| |||     ||||| ||  | | |||||  ||| |||||||   |   |   | \n",
+      "\n",
+      "Sbjct  2486  CTGCCTTCTGCAGTCCGTGAACCAAT-TGAAGTATCTACGAAAGAAATAATGAAAACTCG  2544\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2220  TGGTACGATTCTTTATAAGGAAGGCTCAAGGCCCACTGGTGTATGGCTTGTTTCAATAGG  2279\n",
+      "\n",
+      "             ||||  ||  || ||||| || || || ||||| | |||  | |||||  | ||| ||||\n",
+      "\n",
+      "Sbjct  2545  TGGTGTGACGCTGTATAAAGAGGGTTCCAGGCCAAATGGGATGTGGCTGATATCAGTAGG  2604\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2280  TGTAGTGAAGTGGGCAAGTCAGAGACTAAGCAGCAGGCATTCCTTGGATCCAATTTTATC  2339\n",
+      "\n",
+      "              || || |||||| ||||| |||| || |||| ||  ||||| ||  |||||| ||| ||\n",
+      "\n",
+      "Sbjct  2605  AGTGGTTAAGTGGACAAGTAAGAGTCTGAGCAACAAACATTCGTTACATCCAACTTTTTC  2664\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2340  ACACGGAAACACTTTGGGTTTATACGAGGTGCTGATTGGAAAGCCATATATTTGTGATAT  2399\n",
+      "\n",
+      "             ||| |||| ||| |||||  |||| || ||||| | ||||||||| |||||||| |||||\n",
+      "\n",
+      "Sbjct  2665  ACATGGAACCACCTTGGGCCTATATGAAGTGCTAACTGGAAAGCCTTATATTTGCGATAT  2724\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2400  GATTACAGATTCTGTGGTGCATTGTTTCTTTGTAGAAGCTGAAAAGAT--TGAGC-AACT  2456\n",
+      "\n",
+      "             ||| ||||| ||||| || || ||||||||| | ||| ||||||||||  ||  |  |||\n",
+      "\n",
+      "Sbjct  2725  GATCACAGACTCTGTAGTACACTGTTTCTTTATTGAAACTGAAAAGATACTGTCCTTACT  2784\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2457  TCGTCAATCGGATCCTTCTATTGAGGTTTTCCTGTGGCAGGAAAGCTCCCTAGTTATTGC  2516\n",
+      "\n",
+      "             | |   ||| |  ||  ||||||| | ||| || |||||||||||  |  |||| || ||\n",
+      "\n",
+      "Sbjct  2785  TGG---ATCAGGCCCCCCTATTGAAGATTTTCTATGGCAGGAAAGTGCTATAGTCATAGC  2841\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2517  CAGGCTTTTACTTCCTCAGATATTTGAGAAAATGGCAATGCATGAGATCAGGGTCCTCAT  2576\n",
+      "\n",
+      "             ||  || |||||||| ||||| ||||| |||||| ||||||| ||| | || |  ||  |\n",
+      "\n",
+      "Sbjct  2842  CAAACTCTTACTTCCCCAGATGTTTGAAAAAATGACAATGCAAGAGCTGAGAGGTCTTGT  2901\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2577  TGCTGAAAGGTCGACTATGAACGTATACATTAAGGGTGAAGACATTGAACTGGAGTACAG  2636\n",
+      "\n",
+      "             | ||||||| ||   ||||||| | || || |  || || | ||| ||| |     ||| \n",
+      "\n",
+      "Sbjct  2902  TTCTGAAAGATCAGATATGAACATTTATATAAGAGGAGAGGTCATAGAAATAAGACACAA  2961\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2637  TTACATTGGCATTCTGCTGGAAGGATTTTTGAAGA-CCAAGA--GT---CAAAATCTCAT  2690\n",
+      "\n",
+      "             || ||||||| || || | ||||||||| | |||| ||||||  ||   ||| |  | ||\n",
+      "\n",
+      "Sbjct  2962  TTCCATTGGCTTTTTGTTAGAAGGATTTATAAAGACCCAAGATGGTCAGCAAGACTTGAT  3021\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2691  CACACCTCCAGCGGTGCTGCTTCCATCGAATA-TCAACTTAGCCCTATTTGGTCTTGAAT  2749\n",
+      "\n",
+      "              |||||||| || |   || |||||||  | | | | | ||| | |  | | ||| ||||\n",
+      "\n",
+      "Sbjct  3022  TACACCTCCTGCAGCATTGGTTCCATCACACAGTGACCATAG-CTTTCTCGATCTAGAAT  3080\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2750  CTT------------CAGCTATGAACCATGTGGACTACTGCTATACTGCCCCCAGTTATC  2797\n",
+      "\n",
+      "             |||            ||| |  |||| |   |  || |||  | |  |   || | ||||\n",
+      "\n",
+      "Sbjct  3081  CTTCAGAAGAAATTGCAGGTTCGAACAACAAGAGCTTCTGTCACATGGGATCCTGGTATC  3140\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2798  AAGTGGAGGCGAGAGCAAGGATTATCTTCTTTGAAATAGGAAGGGTTTCCGAGGTAGAGG  2857\n",
+      "\n",
+      "             | || ||  | ||||| ||| | ||||| || || ||||| |  |||   ||||  || |\n",
+      "\n",
+      "Sbjct  3141  AGGTTGAAACAAGAGCCAGGGTGATCTTTTTCGACATAGGTACAGTT---GAGGCTGAAG  3197\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2858  CTGACATCCAGAGAA---GCGCATCTTTGTTGTCCCAGAC--CCA-TGAACCTCCTCGGA  2911\n",
+      "\n",
+      "              ||   | ||||| |     ||||| | | | |||||  |  ||| ||||||||| || |\n",
+      "\n",
+      "Sbjct  3198  GTGTTCTTCAGAGGACGTCTGCATCATGGGTCTCCCAAGCTGCCATTGAACCTCCGCGAA  3257\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2912  CACTGAGCAAAGAGCATAGTGGTCTGCTCAGTTGGCCAGAAAGCTT  2957\n",
+      "\n",
+      "               || |||  ||||||| | ||| | || || ||||| ||||| ||\n",
+      "\n",
+      "Sbjct  3258  GCCTAAGCCGAGAGCATGGAGGTTTTCTTAGCTGGCCTGAAAGTTT  3303\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "  Database: Nucleotide collection (nt)\n",
+      "\n",
+      "    Posted date:  Oct 3, 2019  5:47 AM\n",
+      "\n",
+      "  Number of letters in database: 253,942,268,922\n",
+      "\n",
+      "  Number of sequences in database:  56,496,701\n",
+      "\n",
+      "\n",
+      "\n",
+      "Lambda      K        H\n",
+      "\n",
+      "   0.634    0.408    0.912 \n",
+      "\n",
+      "Gapped\n",
+      "\n",
+      "Lambda      K        H\n",
+      "\n",
+      "   0.625    0.410    0.780 \n",
+      "\n",
+      "Matrix: blastn matrix:2 -3\n",
+      "\n",
+      "Gap Penalties: Existence: 5, Extension: 2\n",
+      "\n",
+      "Number of Sequences: 56496701\n",
+      "\n",
+      "Number of Hits to DB: 110014177\n",
+      "\n",
+      "Number of extensions: 192310\n",
+      "\n",
+      "Number of successful extensions: 192310\n",
+      "\n",
+      "Number of sequences better than 10: 9\n",
+      "\n",
+      "Number of HSP's better than 10 without gapping: 0\n",
+      "\n",
+      "Number of HSP's gapped: 192294\n",
+      "\n",
+      "Number of HSP's successfully gapped: 34\n",
+      "\n",
+      "Length of query: 3357\n",
+      "\n",
+      "Length of database: 253942268922\n",
+      "\n",
+      "Length adjustment: 40\n",
+      "\n",
+      "Effective length of query: 3317\n",
+      "\n",
+      "Effective length of database: 251682400882\n",
+      "\n",
+      "Effective search space: 834830523725594\n",
+      "\n",
+      "Effective search space used: 834830523725594\n",
+      "\n",
+      "A: 0\n",
+      "\n",
+      "X1: 22 (20.1 bits)\n",
+      "\n",
+      "X2: 33 (29.8 bits)\n",
+      "\n",
+      "X3: 110 (99.2 bits)\n",
+      "\n",
+      "S1: 28 (26.5 bits)\n",
+      "\n",
+      "S2: 50 (46.4 bits)\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "myfile = open(\"my_blast.txt\")\n",
+    "for line in myfile:\n",
+    "    print(line)\n",
+    "myfile.close()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notice we don't have a 100% match. That's because this species (_Oropetium thomeaum_) is not on NCBI! _In my defense, they make it impossibly difficult to upload genome annotations to NCBI._ "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "___"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Assembling a genome"
+   ]
+  },
+  {
+   "attachments": {
+    "HGAP.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Assembling a genome requires significant computational resources. It would take months or years to assemble a human (or maize) sized genome on your local computer, which would make for a long PhD! We can use the memory and CPU resources at the HPCC to reduce assembly time to a few minutes or a few days depending on the size of the genome and the amount of data being assembled. Like most computational tasks, there are a range of programs we can use to correct and assemble long read data, and each program has unique advantages and disadvantages. Some programs are better suited for assembling complex, polyploid, repetitive, or heterozygotic genomes but this often comes at a cost in terms of memory, CPUs, or assembly contiguity. Most genome assembly programs were developed and optimized for human or other ‘simple’ mammalian genomes, and they struggle to do a good job overcoming the complexity found in most plant genomes. We won’t go into details of algorithm design and implementation, but most assembly programs use a common framework of correcting the longest reads through aligning against shorter reads and then overlapping long reads to build a consensus sequence. \n",
+    "\n",
+    "![HGAP.png](attachment:HGAP.png)"
+   ]
+  },
+  {
+   "attachments": {
+    "Capture.PNG": {
+     "image/png": 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"
+    },
+    "Capture3.PNG": {
+     "image/png": 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"
+    },
+    "term1.PNG": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this exercise, we will use Wtdbg2, a relatively new genome assembler that runs ~10 fold faster than the leading assemblers FALCON and CANU. This will allow us to assemble a high-quality genome in just a few minutes. Wtdbg2 is a _de novo_ sequence assembler for long noisy reads produced by PacBio or Oxford Nanopore Technologies. It assembles raw reads without error correction and then builds the consensus from intermediate assembly output. Wtdbg2 is able to assemble the human and even the 32Gb Axolotl genome at a speed tens of times faster than CANU and FALCON while producing contigs of comparable base accuracy.\n",
+    "\n",
+    "![Capture.PNG](attachment:Capture.PNG)\n",
+    "\n",
+    "During assembly, wtdbg2 chops reads into 1024bp segments, merges similar segments into a vertex and connects vertices based on the segment adjacency on reads. The resulting graph is called fuzzy Bruijn graph (FBG). It is akin to De Bruijn graph but permits mismatches/gaps and keeps read paths when collapsing k-mers. The use of FBG distinguishes wtdbg2 from the majority of long-read assemblers.\n",
+    "\n",
+    "I have installed wtdbg2 on HPCC under: \n",
+    "`/mnt/research/HRT891_f19/bin/wtdbg2/`\n",
+    "\n",
+    "If we run `~/wtdbg2 --help` in terminal we get the following info: \n",
+    "\n",
+    "    WTDBG: De novo assembler for long noisy sequences\n",
+    "    Author: Jue Ruan \n",
+    "    Version: 2.5 (20190621)\n",
+    "    Usage: wtdbg2 [options] -i  -o  [reads.fa ...]\n",
+    "    Options:\n",
+    "     -i  Long reads sequences file (REQUIRED; can be multiple), []\n",
+    "     -o  Prefix of output files (REQUIRED), []\n",
+    "     -t     Number of threads, 0 for all cores, [4]\n",
+    "     -f          Force to overwrite output files\n",
+    "     -x  Presets, comma delimited, []\n",
+    "            preset1/rsII/rs: -p 21 -S 4 -s 0.05 -L 5000\n",
+    "                        preset2: -p 0 -k 15 -AS 2 -s 0.05 -L 5000\n",
+    "                        preset3: -p 19 -AS 2 -s 0.05 -L 5000\n",
+    "                  sequel/sq\n",
+    "               nanopore/ont:\n",
+    "            (genome size < 1G: preset2) -p 0 -k 15 -AS 2 -s 0.05 -L 5000\n",
+    "            (genome size >= 1G: preset3) -p 19 -AS 2 -s 0.05 -L 5000\n",
+    "          preset4/corrected/ccs: -p 21 -k 0 -AS 4 -K 0.05 -s 0.5\n",
+    "     -g  Approximate genome size (k/m/g suffix allowed) [0]\n",
+    "     -X   Choose the best  depth from input reads(effective with -g) [50.0]\n",
+    "     -L     Choose the longest subread and drop reads shorter than  (5000 recommended for PacBio) [0]\n",
+    "                 Negative integer indicate tidying read names too, e.g. -5000.\n",
+    "     -k     Kmer fsize, 0 <= k <= 23, [0]\n",
+    "     -p     Kmer psize, 0 <= p <= 23, [21]\n",
+    "                 k + p <= 25, seed is +\n",
+    "     -K   Filter high frequency kmers, maybe repetitive, [1000.05]\n",
+    "                 >= 1000 and indexing >= (1 - 0.05) * total_kmers_count\n",
+    "     -S   Subsampling kmers, 1/(<-S>) kmers are indexed, [4.00]\n",
+    "                 -S is very useful in saving memeory and speeding up\n",
+    "                 please note that subsampling kmers will have less matched length\n",
+    "     -l   Min length of alignment, [2048]\n",
+    "     -m   Min matched length by kmer matching, [200]\n",
+    "     -R          Enable realignment mode\n",
+    "     -A          Keep contained reads during alignment\n",
+    "     -s   Min similarity, calculated by kmer matched length / aligned length, [0.05]\n",
+    "     -e     Min read depth of a valid edge, [3]\n",
+    "     -q          Quiet\n",
+    "     -v          Verbose (can be multiple)\n",
+    "     -V          Print version information and then exit\n",
+    "     --help      Show more options`\n",
+    "\n",
+    "\n",
+    "There is a lot to unpack here, but for our first assembly, we only need to set a few parameters and provide a few files: 
\n", + "`-i` this is the file containing the raw long read sequences. For all of our unknown genomes, we will be using raw PacBio reads. These will be located under `/mnt/research/HRT891_f19/Week_1_Genome_assembly/00_raw_PacBio_data/`
\n", + "Each set of raw PacBio sequences will have the prefix: `Unknown_raw_PacBio_X.fasta` and represent sequences from a different plant or algae species.
\n", + "
\n", + "`-o` Sets the output prefix and directory of where the assembly files will go. We can set this to two places: your home directory `/mnt/home/MSU_net_ID` or `/mnt/scratch/MSU_net_ID`. Putting files in /scratch is preferable since you have _virtually_ unlimited space. The downside is files are automatically removed from /scratch after 30 days, so any important files you want to keep should be removed before then.
\n", + "
\n", + "`-t` Sets the number of threads or processors to use. Using more processors speeds up the job somewhat (but not always) proportionally, but jobs requesting more processors tend to take longer to launch in the queuing system. We will shoot for 12 in this case.
\n", + "
\n", + "`-x` Sets presets for graph construction and read utilization based on the seuqencing technology that was used (PacBio or Nanopore). Our data will be relatively old (~2-3 year) PacBio data, so we will set it as `-x rs`
\n", + "
\n", + "`-g` Sets the approximate genome size of the organism. Our unknown species will have relatively small genomes ranging from 14-50 Mb, so we can set it as 20 megabases or `-g 20m`
\n", + "
\n", + "We will leave all other parameters as default, but these can be optimized. \n", + "\n", + "Because wtdbg2 has low memory and CPU requirements, and we're assembling relatively small genomes, we can run this job on a developmental node (instead of submitting it to the queueing system via Slurm). There are several ways to access a developmental node, but the simplest is to use the HPCC module `powertools` to randomly assign us to a node without too many processes running.
\n", + "First, we need to load the module `powertools` as follows. Powertools has lots of useful utilities, but we will use `dev`\n", + "\n", + "![Capture3.PNG](attachment:Capture3.PNG)\n", + "\n", + "This will log us into a developmental node to run wtdbg2. \n", + "\n", + "We can run the following example command to launch the assembly on a developmental node on hpcc. **Note: remember to change the directories to your correct path:**
\n", + "
\n", + "![term1.PNG](attachment:term1.PNG)" + ] + }, + { + "attachments": { + "term2.PNG": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that the assembly has finished, we need to turn the contig layout into actual sequences. We do this using `./wtpoa-cns` with the following command: \n", + "
\n", + "![term2.PNG](attachment:term2.PNG)\n", + "\n", + "Where:\n", + "
\n", + "`-i` Sets the path for the inmput contig layout file showing how contigs are arranged in the assembly graph.
\n", + "
\n", + "`-t` Sets the number of threads or processors to use. Again, using more processors speeds up the job somewhat (but not always) proportionally, but jobs requesting more processors tend to take longer to launch in the queuing system. We will shoot for 12 in this case.
\n", + "
\n", + "`-fo` Sets the output path of the final assembly file. This is the file we ultimately care about
\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Putting it all together" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have our genome, it’s time to figure out what it is! Although, ideally you would know the species before you sequenced it... There are circumstances where you might not know the species though, such as microbiome metagenomics, pathology, forensics, etc. \n", + "
\n", + "There are several ways to do this, but the simplest is to align our sequences against a database of known sequences and return the best matches. There are several tools that can do this and for simplicity, we will use BLAST. We will explore tools that can handle genome-scale alignments in later notebooks. For this exercise you will need to import the assembly (after downloading it to your local computer from HPCC), pull out a single or a few contigs, and use BLAST to figure out what species was sequenced. " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## Use SeqIO.read to read the assembly file\n", + "from Bio import SeqIO\n", + "\n", + "unknown_dict = SeqIO.to_dict(SeqIO.parse(\"test3.raw.fa\", \"fasta\"))\n", + "#print(len(unknown_dict))\n", + "#print(unknown_dict.keys())\n", + "single_unknown_contig = unknown_dict[\"ctg600\"]\n", + "SeqIO.write(single_unknown_contig, \"ctg600.fa\", \"fasta\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "## Use SeqIO.write to pull out a subset of fasta sequences for BLAST\n", + "from Bio.Blast import NCBIWWW\n", + "query = SeqIO.read(\"ctg600.fa\", format=\"fasta\")\n", + "result_handle = NCBIWWW.qblast(\"blastn\", \"nt\", query.seq, format_type=\"Text\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "

\n", + "\n", + "

\n",
+      "\n",
+      "BLASTN 2.10.0+\n",
+      "\n",
+      "Reference: Stephen F. Altschul, Thomas L. Madden, Alejandro\n",
+      "\n",
+      "A. Schaffer, Jinghui Zhang, Zheng Zhang, Webb Miller, and\n",
+      "\n",
+      "David J. Lipman (1997), \"Gapped BLAST and PSI-BLAST: a new\n",
+      "\n",
+      "generation of protein database search programs\", Nucleic\n",
+      "\n",
+      "Acids Res. 25:3389-3402.\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "RID: VEBHMA12014\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "Database: Nucleotide collection (nt)\n",
+      "\n",
+      "           56,840,973 sequences; 256,848,598,563 total letters\n",
+      "\n",
+      "Query= \n",
+      "\n",
+      "Length=7529\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "                                                                   Score     E     Max\n",
+      "\n",
+      "Sequences producing significant alignments:                       (Bits)  Value  Ident\n",
+      "\n",
+      "\n",
+      "\n",
+      "CP031036.1 Chloropicon primus strain CCMP1205 chromosome 3, co...  12317   0.0    97%         \n",
+      "\n",
+      "XM_019773227.1 PREDICTED: Branchiostoma belcheri uncharacteriz...  100     1e-15  71%         \n",
+      "\n",
+      "CP012672.1 Sorangium cellulosum strain So ce836 chromosome, co...  96.9    1e-14  71%         \n",
+      "\n",
+      "CP013244.1 Caulobacteraceae bacterium OTSz_A_272, complete genome  92.4    6e-13  73%         \n",
+      "\n",
+      "XM_008219175.2 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986598.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986597.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986596.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986595.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986594.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986593.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_016986592.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "XM_008219173.2 PREDICTED: Nasonia vitripennis neuroligin 4 (LO...  88.7    7e-12  79%         \n",
+      "\n",
+      "CP042324.1 Streptomyces coelicolor A3(2) strain CFB_NBC_0001 c...  87.8    7e-12  79%         \n",
+      "\n",
+      "CP027433.1 Gordonia iterans strain Co17 chromosome, complete g...  87.8    7e-12  79%         \n",
+      "\n",
+      "LT629768.1 Streptomyces sp. 2114.2 genome assembly, chromosome: I  87.8    7e-12  79%         \n",
+      "\n",
+      "CP009124.1 Streptomyces lividans TK24, complete genome             87.8    7e-12  79%         \n",
+      "\n",
+      "AL939119.1 Streptomyces coelicolor A3(2) complete genome; segm...  87.8    7e-12  79%         \n",
+      "\n",
+      "CP002102.1 Brevundimonas subvibrioides ATCC 15264, complete ge...  86.9    2e-11  77%         \n",
+      "\n",
+      "CP019779.1 Streptomyces sp. MOE7, complete genome                  86.0    2e-11  71%         \n",
+      "\n",
+      "CP012573.1 Clavibacter michiganensis strain PF008, complete ge...  85.1    8e-11  82%         \n",
+      "\n",
+      "CP023690.1 Streptomyces spectabilis strain ATCC 27465 chromoso...  83.3    3e-10  71%         \n",
+      "\n",
+      "CP040916.1 Streptomyces spectabilis strain NRRL 2792 chromosom...  83.3    3e-10  71%         \n",
+      "\n",
+      "XM_028126955.1 PREDICTED: Eptesicus fuscus carboxylesterase 1 ...  83.3    3e-10  72%         \n",
+      "\n",
+      "XM_008152330.2 PREDICTED: Eptesicus fuscus carboxylesterase 1 ...  83.3    3e-10  72%         \n",
+      "\n",
+      "XM_028126954.1 PREDICTED: Eptesicus fuscus carboxylesterase 1 ...  83.3    3e-10  72%         \n",
+      "\n",
+      "XM_028126953.1 PREDICTED: Eptesicus fuscus carboxylesterase 1 ...  83.3    3e-10  72%         \n",
+      "\n",
+      "XM_018062017.1 PREDICTED: Capra hircus liver carboxylesterase ...  83.3    3e-10  72%         \n",
+      "\n",
+      "CP018870.1 Streptomyces sp. TN58, complete genome                  82.4    3e-10  74%         \n",
+      "\n",
+      "CP013189.1 Pseudohongiella spirulinae strain KCTC 32221, compl...  82.4    3e-10  78%         \n",
+      "\n",
+      "CP031455.1 Streptomyces olivoreticuli subsp. olivoreticuli str...  81.5    1e-09  78%         \n",
+      "\n",
+      "CP007215.3 Kosakonia sacchari SP1 chromosome, complete genome      81.5    1e-09  77%         \n",
+      "\n",
+      "CP011491.1 Mycobacterium vaccae 95051, complete genome             81.5    1e-09  79%         \n",
+      "\n",
+      "CP010797.1 Rhodococcus sp. B7740, complete genome                  81.5    1e-09  75%         \n",
+      "\n",
+      "CP006254.2 Geobacillus genomosp. 3 strain JF8, complete genome     81.5    1e-09  77%         \n",
+      "\n",
+      "CP002385.1 Mycobacterium gilvum Spyr1, complete genome             81.5    1e-09  79%         \n",
+      "\n",
+      "AP011115.1 Rhodococcus opacus B4 DNA, complete genome              81.5    1e-09  75%         \n",
+      "\n",
+      "CP000656.1 Mycobacterium gilvum PYR-GCK, complete genome           81.5    1e-09  79%         \n",
+      "\n",
+      "CP000248.1 Novosphingobium aromaticivorans DSM 12444, complete...  81.5    1e-09  70%         \n",
+      "\n",
+      "CP038030.1 Rhodococcus ruber strain R1 chromosome, complete ge...  80.6    1e-09  77%         \n",
+      "\n",
+      "CP023714.1 Rhodococcus ruber strain YC-YT1 chromosome, complet...  80.6    1e-09  77%         \n",
+      "\n",
+      "CP027108.1 Cronobacter sakazakii strain CS-931 plasmid pCsaCS9...  80.6    1e-09  76%         \n",
+      "\n",
+      "CP027107.1 Cronobacter sakazakii strain CS-931 chromosome, com...  80.6    1e-09  76%         \n",
+      "\n",
+      "CP031264.1 Streptacidiphilus sp. DSM 106435 chromosome, comple...  80.6    1e-09  76%         \n",
+      "\n",
+      "CP029146.1 Rhodococcus ruber strain SD3 chromosome, complete g...  80.6    1e-09  77%         \n",
+      "\n",
+      "CP024890.1 Rhodococcus ruber strain YYL chromosome, complete g...  80.6    1e-09  77%         \n",
+      "\n",
+      "CP024315.1 Rhodococcus ruber strain P14 chromosome, complete g...  80.6    1e-09  77%         \n",
+      "\n",
+      "XM_018420176.1 Cutaneotrichosporon oleaginosus alpha/beta-hydr...  80.6    1e-09  76%         \n",
+      "\n",
+      "CP007155.1 Kutzneria albida DSM 43870, complete genome             80.6    1e-09  76%         \n",
+      "\n",
+      "KC904273.1 Uncultured bacterium clone BSXG2 esterase gene, com...  80.6    1e-09  75%         \n",
+      "\n",
+      "\n",
+      "\n",
+      "ALIGNMENTS\n",
+      "\n",
+      ">CP031036.1 Chloropicon primus strain CCMP1205 chromosome 3, complete sequence\n",
+      "\n",
+      "Length=1475055\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 12317 bits (13659),  Expect = 0.0\n",
+      "\n",
+      " Identities = 7392/7600 (97%), Gaps = 154/7600 (2%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  12      CCTCGGGCTTCCGAAGA-CGCGATGGAGCTCGTCGAGCTCATGGCGGGATCGCTGCTGGC  70\n",
+      "\n",
+      "               ||||||| ||||||||| ||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  761194  CCTCGGGATTCCGAAGAGCGCGATGGAGCTCGTCGAGCTCATGGCGGGATCGCTGCTGGC  761135\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  71      CATCCAGACCATGGTGCTGGCCGCCTCCCTCCTTCC-ACG-ACG-ACCAAAGGACAAGCC  127\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||| ||| ||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  761134  CATCCAGACCATGGTGCTGGCCGCCTCCCTCCTTCCCACGGACGGACCAAAGGACAAGCC  761075\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  128     TCTGGACTGGAAGGAGCTGCTCTCCC--AAGTCGAAGCTCGAGGTCGGAGCTCTGATCAT  185\n",
+      "\n",
+      "               ||||||||||||||||||||||||||  ||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  761074  TCTGGACTGGAAGGAGCTGCTCTCCCCCAAGTCGAAGCTCGAGGTCGGAGCTCTGATCAT  761015\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  186     CACGCTTT-CGTCAG-TTCTTGGTCGTCCCCTTCGCGGGTCTCGGCATCGTGAACGTCTT  243\n",
+      "\n",
+      "               |||||||| |||||| ||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  761014  CACGCTTTTCGTCAGGTTCTTGGTCGTCCCCTTCGCGGGTCTCGGCATCGTGAACGTCTT  760955\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  244     CCAGACCATGAAGTGGCTGCCCAACGATCCGATCTGCTACCTCGTGGTGCTGGTCCAGGC  303\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760954  CCAGACCATGAAGTGGCTGCCCAACGATCCGATCTGCTACCTCGTGGTGCTGGTCCAGGC  760895\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  304     CGTCATGCCCTCGGCGCAGAACATCGTGCTTCTCATGAACTTGCAGTCGAGCACGAGGCC  363\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760894  CGTCATGCCCTCGGCGCAGAACATCGTGCTTCTCATGAACTTGCAGTCGAGCACGAGGCC  760835\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  364     CCTCGCTCCAGTCATTGGCGAGGATTCTTCTCCAGATCTACCTCCTCTCCGTGGTCCCAC  423\n",
+      "\n",
+      "               ||||||||||||||| ||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760834  CCTCGCTCCAGTCAT-GGCGAGGATTCTTCTCCAGATCTACCTCCTCTCCGTGGTCCCAC  760776\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  424     TCGCGTTGTGGATGGGCT-CTTGCTTCCAATGATTGGACTCGGCGGCTGAGGACGATGGA  482\n",
+      "\n",
+      "               |||||||||||||||||| |||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760775  TCGCGTTGTGGATGGGCTTCTTGCTTCCAATGATTGGACTCGGCGGCTGAGGACGATGGA  760716\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  483     TAAGAGCAAGGCGGGAACGAATTTGGCAAAAAG--TTCATTGTAATTTATCGTTTGCCCT  540\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||   |||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760715  TAAGAGCAAGGCGGGAACGAATTTGGCAAAAAAGTTTCATTGTAATTTATCGTTTGCCCT  760656\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  541     TTAGGATTGCTTATCCCTCCCGCTTTTTGTGAAACTCCTCCTCCTCGCCCTAGCTGCATT  600\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760655  TTAGGATTGCTTATCCCTCCCGCTTTTTGTGAAACTCCTCCTCCTCGCCCTAGCTGCATT  760596\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  601     TTTGCGGAGGCGGCTCCACCCAGCCCTCCGGGGGCTGGTCCTCCGACATGGACTGCGTCG  660\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760595  TTTGCGGAGGCGGCTCCACCCAGCCCTCCGGGGGCTGGTCCTCCGACATGGACTGCGTCG  760536\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  661     CGGACATCTTGTAACGCCCCTCGCCCGTCATCTCAGCCTGGACCACATGCGTCTTGATGA  720\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760535  CGGACATCTTGTAACGCCCCTCGCCCGTCATCTCAGCCTGGACCACATGCGTCTTGATGA  760476\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  721     ACTCGGCAGCGTCGTAGGCCTCTGCAAGATTTCGTCGCCGCGTCgagagagagagagaga  780\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760475  ACTCGGCAGCGTCGTAGGCCTCTGCAAGATTTCGTCGCCGCGTCGAGAGAGAGAGAGAGA  760416\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  781     gagagagagagaga---agagagGTAGCGAGCAAAGCGGTTGTTAGCCTGGAGCGAGACA  837\n",
+      "\n",
+      "               ||||||||||||||   |||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760415  GAGAGAGAGAGAGAGAGAGAGAGGTAGCGAGCAAAGCGGTTGTTAGCCTGGAGCGAGACA  760356\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  838     AGTGAATCGTTTCCCTCGCATGACACCGAGTTCCGCAGAGCTAGCTCGTCCTTCCC-TTC  896\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  760355  AGTGAATCGTTTCCCTCGCATGACACCGAGTTCCGCAGAGCTAGCTCGTCCTTCCCCTTC  760296\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  897     CAACTTACCGTAAATGAGGTCCGACCGAGCCTTCTCGTCCGCCATGTCC-TCGAGTCTTC  955\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  760295  CAACTTACCGTAAATGAGGTCCGACCGAGCCTTCTCGTCCGCCATGTCCCTCGAGTCTTC  760236\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  956     GAACTTTTGCCTGATTTCTTTCTTCGCCGCTAAGAGGGTGAAGTCATCCCC-TTGAACGT  1014\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  760235  GAACTTTTGCCTGATTTCTTTCTTCGCCGCTAAGAGGGTGAAGTCATCCCCCTTGAACGT  760176\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1015    TTCCGACACCGACCGCAGGAGAAGCCTGTAAGCCCC-CGGGCCGTCTGCCCCACCCGTGA  1073\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||| |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760175  TTCCGACACCGACCGCAGGAGAAGCCTGTAAGCCCCTCGGGCCGTCTGCCCCACCCGTGA  760116\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1074    CACCGACGACGCCATCctctctctctctctcAAAACTGATAGCTGCTGCTGGCAAAGTGC  1133\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760115  CACCGACGACGCCATCCTCTCTCTCTCTCTCAAAACTGATAGCTGCTGCTGGCAAAGTGC  760056\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1134    GCAGCCCAAgcgcggagcaggaggggaggcggcgttggggacgcgaggaggaggaggagg  1193\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  760055  GCAGCCCAAGCGCGGAGCAGGAGGGGAGGCGGCGTTGGGGACGCGAGGAGGAGGAGGAGG  759996\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1194    aggccaggagggggTCTGAATTCGATACAGAGTGGAAGGTTATCTCTTGAGCTTTCGATT  1253\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759995  AGGCCAGGAGGGGGTCTGAATTCGATACAGAGTGGAAGGTTATCTCTTGAGCTTTCGATT  759936\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1254    GGTGCCTCGTTTGACCCGAAAAGCGCTCTGAGTGGTCGGAGAAACGTGCagagggcaggg  1313\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759935  GGTGCCTCGTTTGACCCGAAAAGCGCTCTGAGTGGTCGGAGAAACGTGCAGAGGGCAGGG  759876\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1314    agagagagggaggggagggCTGGTGCAGGTCATTCCAGCCTCGGAGGTGATGC-TGGACT  1372\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  759875  AGAGAGAGGGAGGGGAGGGCTGGTGCAGGTCATTCCAGCCTCGGAGGTGATGCGTGGACT  759816\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1373    GGCTGCGATGGCGTCTGCGGGAGGGACGGAGCCTTGGTTTGGGGAGGCGGGAGGCGAAGT  1432\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759815  GGCTGCGATGGCGTCTGCGGGAGGGACGGAG-CTTGGTTTGGGGAGGCGGGAGGCGAAGT  759757\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1433    GGGTCT-CCGCATGGGGTGTGTGCCCCTGGAGGACGTCATCA-CTCGAT-GAGGCTTCGA  1489\n",
+      "\n",
+      "               |||||| |||||| | | |||||||||||||||||||||||| |||||| ||||||||||\n",
+      "\n",
+      "Sbjct  759756  GGGTCTCCCGCATCGTGGGTGTGCCCCTGGAGGACGTCATCACCTCGATGGAGGCTTCGA  759697\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1490    AGCCAATCTGCCAGAAAGCTTCGGTGTGCCTGCCGCGTCAAGATACGCGGTCGAGCACGG  1549\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||| ||||||||  |||||||||||||\n",
+      "\n",
+      "Sbjct  759696  AGCCAATCTGCCAGAAAGCTTCGGTGTGCCTGCCGC-TCAAGATA--CGGTCGAGCACGG  759640\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1550    GCGAATTGAAGCTGTACCTGAAGAAGGGGAACACGTCTTCACTTGGATGCCAAGAGGAGG  1609\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759639  GCGAATTGAAGCTGTACCTGAAGAAGGGGAACA-GTCTTCACTTGGATGCCAAGAGGAGG  759581\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1610    CCAAAGGACGGTGGGAAAGTCGATGGCGTTCCGAGTAATGAGTTCTACACC-AGGCGCTG  1668\n",
+      "\n",
+      "                ||||||||   ||| |||||||||||| ||||||| |||||||||||||| ||||||||\n",
+      "\n",
+      "Sbjct  759580  -CAAAGGAC---GGGGAAGTCGATGGCG-TCCGAGT-ATGAGTTCTACACCAAGGCGCTG  759527\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1669    CCCTCGCTGGGAGGGGTCGGTTCGAGGCTGCTCCAG-CCCTCGCGCTCGGAGCCTACCTG  1727\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||| |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759526  CCCTCGCTGGGAGGGGTCGGTTCGAGGCTGCTCCAGCCCCTCGCGCTCGGAGCCTACCTG  759467\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1728    CAAGCACTCGCAGAGTTCGAGCCTGAACAAGACTTTCAGGGAGACGCAGGCGTGGGCGGA  1787\n",
+      "\n",
+      "               | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759466  C-AGCACTCGCAGAGTTCGAGCCTGAACAAGACTTTCAGGGAGACGCAGGCGTGGGCGGA  759408\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1788    GGAGTGCGGCATAGAGGGCGAGCTCTCTGCTGCTCCTCGAGGATGCCAGGTATGCAGGCT  1847\n",
+      "\n",
+      "               ||||||||||||||||||||||||| |||||||||||||||||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  759407  GGAGTGCGGCATAGAGGGCGAGCTC-CTGCTGCTCCTCGAGGATGCCAGGTATGCA-GCT  759350\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1848    TCACCGAGACTTCTGGCGCAGGTCGCGGCGTCTCCGGGTGGTATGAGCGCAGGGGCGGCA  1907\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759349  TCACCGAGACTTCTGGCGCAGGTCGCGGCGTCTCCGGGTGGTATGAGCGCAGGGGCGGCA  759290\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1908    GATGCAGCTGTGCGGTGGCTGGCTGGGTTCCACGAAGCGTTCCGCGCTAGCGAGGACTTG  1967\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759289  GATGCAGCTGTGCGGTGGCTGGCTGGGTTCCACGAAGCGTTCCGCGCTAGCGAGGACTTG  759230\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  1968    GGGGACCTCGACGTTTGGGGTCAgggggggTACTGGT-CTACGCGAAGAGGGTGGAAATT  2026\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759229  GGGGACCTCGACGTTTGGGGTCAGGGGGGGTACTGGTCCTACGCGAAGAGGGTGGAAATT  759170\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2027    CTGCCG-CGGGCGAGGGCACCAATCGCAAGCTCGCTTTCGATCGGAACTCATCCCAAGAT  2085\n",
+      "\n",
+      "               |||||| |||||||||||||||||||||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  759169  CTGCCGCCGGGCGAGGGCACCAATCGCAAGCTCGCTTTCGATCGG-ACTCATCCCAAGAT  759111\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2086    TGAGATGGAGTGGAACGACCTTCTGGACAGACTCGGGGACTCCGCACCTGGCTTAAGGGG  2145\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759110  TGAGATGGAGTGGAACGACCTTCTGGACAGACTCGGGGACTCCGCACCTGGCTTAAGGGG  759051\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2146    GCTCGCCGTTCACGGCGTGCCATTTCCCCGAGCACTGAGGGAGTCGGCCTCCTCGTTGAG  2205\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  759050  GCTCGCCGTTCACGGCGTGCCATTTCCCCGAGCACTGAGGGAGTCGGCCTCCTCGTTGAG  758991\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2206    TCGAATGCT-GCAAGAGCCTGCTTGCCCGGGCATCCTTCGCGAACTTTGATCCACGGTGA  2264\n",
+      "\n",
+      "               ||||||||| ||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758990  TCGAATGCTGGCAAGAGCCTGCTTGCCCGGGCATCCTTCGCGAACTTTGATCCACGGTGA  758931\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2265    CTTCAAGGCAGCCAATGTCTT-GTCAGTGGCAATGAGGGTGGCGGCTTCCTCCCTGGCGA  2323\n",
+      "\n",
+      "               ||||||||||||||||||||| |||||||||||||||||||||||| |||||||||||||\n",
+      "\n",
+      "Sbjct  758930  CTTCAAGGCAGCCAATGTCTTCGTCAGTGGCAATGAGGGTGGCGGC-TCCTCCCTGGCGA  758872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2324    CCGGCCGTGGACTACCAGTGGGTTGGGTTCGGCCTTGGGGCGGTCGACCTGGTCTACTTT  2383\n",
+      "\n",
+      "               || |||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758871  CC-GCCGTGGACTACCAGTGGGTTGGGTTCGGCCTTGGGGCGGTCGACCTGGTCTACTTT  758813\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2384    CTGACAACCTCACTTGAGGAAAGTGCTCTCAGAGGGAGATGGATTCGCTCATGCAGGTGT  2443\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||| || ||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758812  CTGACAACCTCACTTGAGGAAAGTGCTCTC-GA-GGAGATGGATTCGCTCATGCAGGTGT  758755\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2444    ACTTTGAAGCTGTCGGAGGCGACCTGCGCGGCTTCCATTT-CAGGCGGACCTTGCCCTGG  2502\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||||||| |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758754  ACTTTGAAGCTGTCGGAGGCGACCTGCGCGGCTTCCATTTCCAGGCGGACCTTGCCCTGG  758695\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2503    CCGACTACACGAGGT-TCTTGTCGCGGA-ATGTGGA-AAAGGTGCCCCCGGAGAGCTTTG  2559\n",
+      "\n",
+      "               ||||||||||||||| |||||||||||| ||||||| ||||||| |||||||||||  ||\n",
+      "\n",
+      "Sbjct  758694  CCGACTACACGAGGTATCTTGTCGCGGACATGTGGACAAAGGTGTCCCCGGAGAGC-ATG  758636\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2560    GAACCCAG--GACTCGA-CCCAAAGTCGGAATGCACAA-CGA--TTTGAAATCCCTCGAg  2613\n",
+      "\n",
+      "               ||| ||||  ||||||| || || |||||||||||||| |||  | |||||| |||||||\n",
+      "\n",
+      "Sbjct  758635  GAAGCCAGCCGACTCGAGCCTAACGTCGGAATGCACAAGCGATCTCTGAAATGCCTCGAG  758576\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2614    ggggggCCCGAA-GCTCCCCAAAAACCCGGGAA--CCTTTA-GTGTCAAG-TTTCCGCTT  2668\n",
+      "\n",
+      "               | || | ||||| ||| | | |||| || ||||  |||||| |||||||| |||||||||\n",
+      "\n",
+      "Sbjct  758575  GCGGTGGCCGAACGCTGCACGAAAAGCCTGGAAAGCCTTTACGTGTCAAGCTTTCCGCTT  758516\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2669    GGTTA-GATTGG-CCTACAAGC--AAGAGG--GTTGAAG--TTTTGGTGGTGATGCTTCT  2720\n",
+      "\n",
+      "               ||||| |||||| |||||||||   |||||  |||||||  | |||||||||||||||||\n",
+      "\n",
+      "Sbjct  758515  GGTTACGATTGGACCTACAAGCCACAGAGGCCGTTGAAGGTTCTTGGTGGTGATGCTTCT  758456\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2721    ACTCTCCAAGTGCGCA-GGAATTCGCCCGGCTG-TTTCCGTTTTCACTCAGCTGGCTGTT  2778\n",
+      "\n",
+      "               |||||||||||||||| |||||||||||||||| |||||||| |||||||||||||||||\n",
+      "\n",
+      "Sbjct  758455  ACTCTCCAAGTGCGCAGGGAATTCGCCCGGCTGTTTTCCGTTCTCACTCAGCTGGCTGTT  758396\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2779    ATGGC-GGGGCGAAGGTCGCTGAGATCGCTGAGGCAAAGGGGGACGACAT-GA-GTGGCC  2835\n",
+      "\n",
+      "               ||||| |||||||||||||||||||||||||||||||||||||||||||| || ||||||\n",
+      "\n",
+      "Sbjct  758395  ATGGCGGGGGCGAAGGTCGCTGAGATCGCTGAGGCAAAGGGGGACGACATCGACGTGGCC  758336\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2836    AACAAGTCAGAGGACGGGAGCACCTGGGACCCGCAGACTCTGGCCGATGTAGAGACAGAG  2895\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758335  AACAAGTCAGAGGACGGGAGCACCTGGGACCCGCAGACTCTGGCCGATGTAGAGACAGAG  758276\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2896    AGAATGATCGTCTCCGTTCTTTCAAAGTTTTTTCCGGACGTCGGGTTCTTGTgggggggg  2955\n",
+      "\n",
+      "               ||||||||||||||||||||||||||| |||||||||||||| |  ||||||||||| ||\n",
+      "\n",
+      "Sbjct  758275  AGAATGATCGTCTCCGTTCTTTCAAAGCTTTTTCCGGACGTCTG--TCTTGTGGGGGAGG  758218\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  2956    AAAGGCATCGTGCCCGATGGAAGCGAAGGGGATGAGAAATTTGAGAAGGAGGTCGAAGAC  3015\n",
+      "\n",
+      "                |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758217  -AAGGCATCGTGCCCGATGGAAGCGAAGGGGATGAGAAATTTGAGAAGGAGGTCGAAGAC  758159\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3016    GCGTGCAGGGAATTGTCTTACAGCGGCCGACTGTAACATTGCACCGTGGGAAGTTCAGCT  3075\n",
+      "\n",
+      "               |||||||||||||||||||||||| |||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758158  GCGTGCAGGGAATTGTCTTACAGC-GCCGACTGTAACATTGCACCGTGGGAAGTTCAGCT  758100\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3076    TCCAAGCTCCGGGGGACAGCGAGAGCATCAGTCTGAAGGACGTGACCATCTGGATCGATC  3135\n",
+      "\n",
+      "               |||||||||| | |||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758099  TCCAAGCTCC-GTGGACAGCGAGAGCATCAGTCTGAAGGACGTGACCATCTGGATCGATC  758041\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3136    CTTTAAAGATGGAAACCAAGGAtttttttGTGCAAGGGAAC-AAAACGGCGTCACGACTC  3194\n",
+      "\n",
+      "               ||||  ||||||  |||||||| ||||   ||||||||||| ||||||||||||||||||\n",
+      "\n",
+      "Sbjct  758040  CTTT--AGATGG-CACCAAGGAGTTTT---TGCAAGGGAACAAAAACGGCGTCACGACTC  757987\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3195    TCATTGGTTGCTGCATT-GCGGCACGCCTTGGTTTGGGGTCATCCACGTGCCTTTCTCTT  3253\n",
+      "\n",
+      "               ||||||||||||||||| ||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757986  TCATTGGTTGCTGCATTCGCGGCACGCCTTGGTTTGGGGTCATCCACGTGCCTTTCTCTT  757927\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3254    CGACGGGGAGAACGGTCTTT-GGGGCCCAGGTTTAGGGGGCAACTACGATTTTGACAAAT  3312\n",
+      "\n",
+      "               |||||||||||||||||||| |||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757926  CGACGGGGAGAACGGTCTTTGGGGGCCCAGGTTTAGGGGGCAACTACGATTTTGACAAAT  757867\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3313    GGGGTTTGTCATGGCCGTAGGCGAGGCCCCTTTGCCTCCTCCGCGCCCGAGCCAAGGCGT  3372\n",
+      "\n",
+      "                |||  ||||||||||||| ||||||||||  ||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757866  CGGG--TGTCATGGCCGTA-GCGAGGCCCC--TGCCTCCTCCGCGCCCGAGCCAAGGCGT  757812\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3373    GGCAAAGCGCATTGCAACTACTGGGTCCAACCCCAGCAAAGAATTGGAGGAGGCCCTGGC  3432\n",
+      "\n",
+      "               |||||||||||||||||||||| |||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757811  GGCAAAGCGCATTGCAACTACTCGGTCCAACCCCAGCAAAGAATTGGAGGAGGCCCTGGC  757752\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3433    AAAGCTTGGCCCCCATTGAGACTCTAAAGGTCGGTGGAGCAGGGAGCAAGGTGCTCATGG  3492\n",
+      "\n",
+      "               ||||||||| ||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757751  AAAGCTTGG-CCCCATTGAGACTCTAAAGGTCGGTGGAGCAGGGAGCAAGGTGCTCATGG  757693\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3493    T-CTTGACGGTGCAGCCGATGCCCACATTTTCCCGTTCGGCAATGCGACAAAAAGCTGGG  3551\n",
+      "\n",
+      "               | ||||||||||||||||||||| ||||||||||||||||||||||||| ||| ||||||\n",
+      "\n",
+      "Sbjct  757692  TCCTTGACGGTGCAGCCGATGCCTACATTTTCCCGTTCGGCAATGCGACCAAACGCTGGG  757633\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3552    ATACGGGGGCCGGTGAAGCT-TGCTTTTAGGGGCT-GGGGCGCA-TGGTCAAGGCGTCGG  3608\n",
+      "\n",
+      "               |||||| ||||||||||||| |||||||||| ||| |||||||| |||||||||||||||\n",
+      "\n",
+      "Sbjct  757632  ATACGGCGGCCGGTGAAGCTCTGCTTTTAGGTGCTGGGGGCGCACTGGTCAAGGCGTCGG  757573\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3609    ACGG-TCTCTTTTCTCCTACGAAGCAACGGTAGATCCGTGGAAAAACGGAGGGGCTCGTT  3667\n",
+      "\n",
+      "               |||| ||   || |||||||||||||||||||||||||||| || |||||||||||||||\n",
+      "\n",
+      "Sbjct  757572  ACGGCTCCTCTTACTCCTACGAAGCAACGGTAGATCCGTGG-AACACGGAGGGGCTCGTT  757514\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3668    GCCACAATTCACGAGCTCGGGCTCGTTTCCTCGTCCTTTGGCTGGCCACAGTTAGGAAAA  3727\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757513  GCCACAATTCACGAGCTCGGGCTCGTTTCCTCGTCCTTTGGCTGGCCACAGTTAGGAAAA  757454\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3728    CAGTAACTG-CCGGCGGTTAAATCTAAAAATATGTATTAAAAGATAAATTGTTTTTTAGC  3786\n",
+      "\n",
+      "               ||||||||| ||||||||||||||||||| ||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757453  CAGTAACTGCCCGGCGGTTAAATCTAAAAGTATGTATTAAAAGATAAATTGTTTTTTAGC  757394\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3787    TCTGAAACTCAGACATGAGCTTGGGAATATCGAGGTACTGGAGAAAGATGCTGCGCGACG  3846\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757393  TCTGAAACTCAGACATGAGCTTGGGAATATCGAGGTACTGGAGAAAGATGCTGCGCGACG  757334\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3847    CGGCGTTCTGCTCCAAGACATCCTTGGGGATGCTTTCAGTGCCGA-CTCTGGT-CCAGAA  3904\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||| ||||||| ||||||\n",
+      "\n",
+      "Sbjct  757333  CGGCGTTCTGCTCCAAGACATCCTTGGGGATGCTTTCAGTGCCGACCTCTGGTCCCAGAA  757274\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3905    TGAACCACTCGTTCGCAGAAGCGGACGGCAGGGTCTTCCACTCTGGCAACCCCTCAGCGT  3964\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757273  TGAACCACTCGTTCGCAGAAGCGGACGGCAGGGTCTTCCACTCTGGCAACCCCTCAGCGT  757214\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  3965    TCGGATCCCCAA-CCTGGCGAAGTTAGACCAATAAGAGCTCATTTGATCTGCGAGCGCCG  4023\n",
+      "\n",
+      "               |||||||||||| |||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757213  TCGGATCCCCAACCCTGGCGAAGTTAGACCAATAAGAGCTCATTTGATCTGCGAGCGCCG  757154\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4024    GGTTCGTAATCGGAGCCTGGGCGCGAGCGGAAGCCGATCCGAAGACGTAAGGCAACTCAT  4083\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757153  GGTTCGTAATCGGAGCCTGGGCGCGAGCGGAAGCCGATCCGAAGACGTAAGGCAACTCAT  757094\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4084    AGCCGTGGTAAGTCCCAAATTTCTCCCCAGCAGCT-CCTCAGGCTTCTGTGTGAATTGGT  4142\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757093  AGCCGTGGTAAGTCCCAAATTTCTCCCCAGCAGCTCCCTCAGGCTTCTGTGTGAATTGGT  757034\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4143    AGAAGCCTGACGTCCT--CCCCTG-CTGCCATCG-GTTCGCGATCATGAGGGTTCCCGTA  4198\n",
+      "\n",
+      "               || |||||||||||||  |||||| ||||||||| |||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  757033  AG-AGCCTGACGTCCTCCCCCCTGCCTGCCATCGCGTTCGCGATCATGAGGGTTCCCGTA  756975\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4199    AGGAACTGCATGTTCGTTTGCATCCTTTCGGAGCTCTCAAGCGGCTGGTCTGCGGGGTAC  4258\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756974  AGGAACTGCATGTTCGTTTGCATCCTTTCGGAGCTCTCAAGCGGCTGGTCTGCGGGGTAC  756915\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4259    AAGGACAAGATCTCATTCGCGCTGCCCTTGTAGACTTTGCGAATGATGTTCTCGTAGTTC  4318\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756914  AAGGACAAGATCTCATTCGCGCTGCCCTTGTAGACTTTGCGAATGATGTTCTCGTAGTTC  756855\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4319    ACCTTGGAGGTGGGTGGGACATAAGCACTCAACTCC-GGGTCAATTGCAGCATTGGCAAG  4377\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||| |||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756854  ACCTTGGAGGTGGGTGGGACATAAGCACTCAACTCCGGGGTCAATTGCAGCATTGGCAAG  756795\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4378    GGGAAG-CCCCTGCATAGGAGGAGTCCCCGTA-CAAACGTTCGTTTCGTTCTGGTTTGTG  4435\n",
+      "\n",
+      "               |||||| ||||||||||||||||||||||||| |||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756794  GGGAAGCCCCCTGCATAGGAGGAGTCCCCGTACCAAACGTTCGTTTCGTTCTGGTTTGTG  756735\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4436    -CTATGATCATGGGCACTTTGTGGTTCCTTCCCTCTAGGAACCCGGTGATGGCGTCCGTG  4494\n",
+      "\n",
+      "                |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756734  CCTATGATCATGGGCACTTTGTGGTTCCTTCCCTCTAGGAACCCGGTGATGGCGTCCGTG  756675\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4495    TCCATGCTCTTCCCATCGATGAAAACCACATCAGGAAACACGCCGTGCTGCATCGACTGA  4554\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756674  TCCATGCTCTTCCCATCGATGAAAACCACATCAGGAAACACGCCGTGCTGCATCGACTGA  756615\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4555    AGAGTCGCCGAAACAATGTCCGCGAAAGGAGCATCCCTCATCTTCTCGAGCTGGCTGGG-  4613\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| \n",
+      "\n",
+      "Sbjct  756614  AGAGTCGCCGAAACAATGTCCGCGAAAGGAGCATCCCTCATCTTCTCGAGCTGGCTGGGC  756555\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4614    CCAGCTTCAGCG-CCATTGCCTCGCCCACGGCAACTCCTATCCACTTTGCATCATCAACT  4672\n",
+      "\n",
+      "               ||||||||  || |||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756554  CCAGCTTCCACGCCCATTGCCTCGCCCACGGCAACTCCTATCCACTTTGCATCATCAACT  756495\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4673    GTCACGTTTTGGCTTTGCATAATA--TTCAGACTCGACAATGGCGCGGTGGAAAAGATTC  4730\n",
+      "\n",
+      "               ||||||||||||||||||||||||  | ||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756494  GTCACGTTTTGGCTTTGCATAATACTTCCAGACTCGACAATGGCGCGGTGGAAAAGATTC  756435\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4731    TTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCACCGCCCGCGGACTCGCCGAAA  4790\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756434  TTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCACCGCCCGCGGACTCGCCGAAA  756375\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4791    ATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCACCCACCGCAGC  4850\n",
+      "\n",
+      "               ||||||||||||||||||||| ||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756374  ATCGTGACCTTGGATGGATCCCCGCCAAACTGCTCGATGTTCTCCTGCACCCACCGCAGC  756315\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4851    GCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCCTTCAGGTCAGGATGAGCGAAG  4910\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756314  GCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCCTTCAGGTCAGGATGAGCGAAG  756255\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4911    AATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCA-CAGAACGACGCCCTTGCCGACCAAC  4969\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||| |||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756254  AATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCACCAGAACGACGCCCTTGCCGACCAAC  756195\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4970    GTCTCTGGAGGGCTCGCGAAGCCGTTTCCGTTTCCGTTGAGAAAAGCCC--GCGTGGATC  5027\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||||||||||||||||   ||||||||\n",
+      "\n",
+      "Sbjct  756194  GTCTCTGGAGGGCTCGCGAAGCCGTTTCCGTTTCCGTTGAGAAAAGCCCCGCCGTGGATC  756135\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5028    CAAA-CATCACTGGTGCTCCAGCCGCGTCGTCGACGTCAGCAGGCACGTACACGTTGACA  5086\n",
+      "\n",
+      "               |||| |||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756134  CAAACCATCACTGGTGCTCCAGCCGCGTCGTCGACGTCAGCAGGCACGTACACGTTGACA  756075\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5087    CGAAGGCAATCCTCGGACTGCTCCGATGGTGGTGGCATCACGATATT-CAGGGCTCCTCC  5145\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||| ||||||||||||\n",
+      "\n",
+      "Sbjct  756074  CGAAGGCAATCCTCGGACTGCTCCGATGGTGGTGGCATCACGATATTCCAGGGCTCCTCC  756015\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5146    GCCCAATAGACCTCCGTGGTCGAGCCCGACCTGGTCGGTCGACCCGTTCGCCTGCGGACA  5205\n",
+      "\n",
+      "               ||||||||||||||||||||||||  ||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  756014  GCCCAATAGACCTCCGTGGTCGAG-TCGACCTGGTCGGTCGACCCGTTCGCCTGCGGACA  755956\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5206    GATGGGCCCATAGCGGGTGG-CCGAAGGGGTTCGATCCAGGGCTTGGGATCCTGAGGCAT  5264\n",
+      "\n",
+      "               |||||||||||||||||||| |||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755955  GATGGGCCCATAGCGGGTGGCCCGAAGGGGTTCGATCCAGGGCTTGGGATCCTGAGGCAT  755896\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5265    CT-CCATCT-CCCGCCGATGCGAAGGGAATGCCAAGGAAGGCGCTCAAGTTGCCGGAGCG  5322\n",
+      "\n",
+      "               || |||||| ||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755895  CTCCCATCTCCCCGCCGATGCGAAGGGAATGCCAAGGAAGGCGCTCAAGTTGCCGGAGCG  755836\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5323    GAAGCCCTGAACGGGCCCCGCCGTCGTCTTGACGATCAAGTCGCCGTCCTGAGCCGAGGC  5382\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755835  GAAGCCCTGAACGGGCCCCGCCGTCGTCTTGACGATCAAGTCGCCGTCCTGAGCCGAGGC  755776\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5383    GGCGGAGGCTCCCACCACGCAGCACGCGACGGCGGTTGCGAGAGCGAGGGCGAACGTTAC  5442\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755775  GGCGGAGGCTCCCACCACGCAGCACGCGACGGCGGTTGCGAGAGCGAGGGCGAACGTTAC  755716\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5443    GATCCTCATCCTCCTCTTGTGCATTCTTCTTGGTCGTGGGACGAGAGTCACAGGTCTGTG  5502\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755715  GATCCTCATCCTCCTCTTGTGCATTCTTCTTGGTCGTGGGACGAGAGTCACAGGTCTGTG  755656\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5503    CTGGCGTCGAGGGGAGGTCGCC-GTCGTCGTCTCAATTATGTTCGGCCAGGCTCCCCCTT  5561\n",
+      "\n",
+      "               |||||||||||||||||||||| |||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755655  CTGGCGTCGAGGGGAGGTCGCCGGTCGTCGTCTCAATTATGTTCGGCCAGGCTCCCCCTT  755596\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5562    CCGCCGCACTCCTCGTCTCTTCT-CCCCCATGTCGTCTCGCGTCATGGTCATGACCATGG  5620\n",
+      "\n",
+      "               ||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755595  CCGCCGCACTCCTCGTCTCTTCTCCCCCCATGTCGTCTCGCGTCATGGTCATGACCATGG  755536\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5621    TCGTCTCGCCAGACCATGACCTTGCCCATGACG-CCTCATGCGGAGCCCAGATCATGCAT  5679\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755535  TCGTCTCGCCAGACCATGACCTTGCCCATGACGCCCTCATGCGGAGCCCAGATCATGCAT  755476\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5680    GATGTGGAGGAGCTTgggggggTTAGGAAAATACTCTTCAAAAAAGTTTAATAAT-ATAA  5738\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||| ||||\n",
+      "\n",
+      "Sbjct  755475  GATGTGGAGGAGCTTGGGGGGGTTAGGAAAATACTCTTCAAAAAAGTTTAATAATAATAA  755416\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5739    TAATATATTCAAGTT-CTCCCCTCGCCATTTGGTTCAGATTGCTTTCGCCTTCAGGGAGT  5797\n",
+      "\n",
+      "               ||||||||||||||| ||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755415  TAATATATTCAAGTTCCTCCCCTCGCCATTTGGTTCAGATTGCTTTCGCCTTCAGGGAGT  755356\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5798    TCACAACCTTGGTGGCGCGCAAGAAGTCCGGGTTGAAGGCGATGAGAAGACTCGAGAACA  5857\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755355  TCACAACCTTGGTGGCGCGCAAGAAGTCCGGGTTGAAGGCGATGAGAAGACTCGAGAACA  755296\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5858    GGTAAAAGTAATACGCAAG-CCAGGGTCGTTGGCGAAGGTCGTCCAGATGCACCTCATGG  5916\n",
+      "\n",
+      "               ||||||||||||||||||| ||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755295  GGTAAAAGTAATACGCAAGCCCAGGGTCGTTGGCGAAGGTCGTCCAGATGCACCTCATGG  755236\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5917    CCTCCGCGTAGGGCGCGAA-TGGACGCCGTCATTCACGAACGCAAGAGAGCAGAGGCAAG  5975\n",
+      "\n",
+      "               ||||||||||||||||||| ||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755235  CCTCCGCGTAGGGCGCGAACTGGACGCCGTCATTCACGAACGCAAGAGAGCAGAGGCAAG  755176\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  5976    TGACAACGGGAAGGTAACACGAGCACA--CCAAGGAAGCTGTGCTTCAGGGTGTCTGGAT  6033\n",
+      "\n",
+      "               |||||||||||||||||||||||||||  |||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755175  TGACAACGGGAAGGTAACACGAGCACACCCCAAGGAAGCTGTGCTTCAGGGTGTCTGGAT  755116\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6034    TCACGGAAACCATGATGAAGGACAGCACAGCGATGTGG-AGTGGACGAGAGCGTAAATGC  6092\n",
+      "\n",
+      "               |||||||||||||||||||||||||||||||||||||| |||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755115  TCACGGAAACCATGATGAAGGACAGCACAGCGATGTGGAAGTGGACGAGAGCGTAAATGC  755056\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6093    TGCCCCGCACGGGGAGCCTGCTCGCGAACCTGATCCTCCTGTGCGCCGGGACGCTTGTCC  6152\n",
+      "\n",
+      "               ||||| ||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  755055  TGCCCAGCACGGGGAGCCTGCTCGCGAACCTGATCCTCCTGTGCGCCGGGACGCTTGTCC  754996\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6153    TAGGCATGATGCCGCGATCCTTGTGGACGGCCGAATAAAATCCAGCCCCCTGGATCGCGG  6212\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754995  TAGGCATGATGCCGCGATCCTTGTGGACGGCCGAATAAAATCCAGCCCCCTGGATCGCGG  754936\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6213    TCTTCAGCTTCCGCGTGATGCCCTTGGCTCTCCTCAAGCTCTTCAGCGTCTCCATCGGGT  6272\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754935  TCTTCAGCTTCCGCGTGATGCCCTTGGCTCTCCTCAAGCTCTTCAGCGTCTCCATCGGGT  754876\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6273    GCTGCATCTGCCAGAGGTCCGTGAAGTAGTTCTCCTGGTTCAGCATCGTTCCGAAAACGG  6332\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754875  GCTGCATCTGCCAGAGGTCCGTGAAGTAGTTCTCCTGGTTCAGCATCGTTCCGAAAACGG  754816\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6333    AAACCT-CTCGCCGTCGTCCAGCCTCGTGTAGTCCCCGCCC-GGGGCACCTCGTCTTCCC  6390\n",
+      "\n",
+      "               |||||| |||||||||||||||||||||||||||||||||| ||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  754815  AAACCTCCTCGCCGTCGTCCAGCCTCGTGTAGTCCCCGCCCTGGGCCACCTCGTCTTCCC  754756\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6391    CGAGCGACACCTCGGAGAGAAAGGTGCCGAACCAGCGGT-CCACAGGATGAAAATT-CTC  6448\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||| |||||||||||||||| |||\n",
+      "\n",
+      "Sbjct  754755  CGAGCGACACCTCGGAGAGAAAGGTGCCGAACCAGCGGTCCCACAGGATGAAAATTCCTC  754696\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6449    CAAAGTTCTTGTGAAGCCTCCTGTCGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGAACA  6508\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754695  CAAAGTTCTTGTGAAGCCTCCTGTCGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGAACA  754636\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6509    CGTACTCGAACCAGTCCGGCGTTCTCCTCACCAAGCAAGTGTGCA-CCAGAACTGGTAGA  6567\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||| ||||||||||||||\n",
+      "\n",
+      "Sbjct  754635  CGTACTCGAACCAGTCCGGCGTTCTCCTCACCAAGCAAGTGTGCACCCAGAACTGGTAGA  754576\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6568    TCAGGTTCCACT-CGCGGCCCACCTCAGGGCTTCC-GGCTGATGAAGAAGGCCAGGGGGA  6625\n",
+      "\n",
+      "               |||||||||||| |||||||||||||||||||||| ||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754575  TCAGGTTCCACTCCGCGGCCCACCTCAGGGCTTCCGGGCTGATGAAGAAGGCCAGGGGGA  754516\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6626    GGTAGAAAACCCCAAAATGTCATGTTGTTCCCCCAGGACTGCCTCAAGGCCACCGCAAAA  6685\n",
+      "\n",
+      "               ||||||||| ||||| ||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754515  GGTAGAAAA-CCCAAGATGTCATGTTGTTCCCCCAGGACTGCCTCAAGGCCACCGCAAAA  754457\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6686    TTGTAATGGTCGTTGTTGTGGTGGATCGCGTGGAACATCCAGCCGAGCTGCACTTGGTGG  6745\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754456  TTGTAATGGTCGTTGTTGTGGTGGATCGCGTGGAACATCCAGCCGAGCTGCACTTGGTGG  754397\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6746    TAGCATCTGTGAGCCCAGTAGTACCCCATGTCCTGGAAGACAAGGGCGAGCGCGGCCTGG  6805\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754396  TAGCATCTGTGAGCCCAGTAGTACCCCATGTCCTGGAAGACAAGGGCGAGCGCGGCCTGG  754337\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6806    CCGACGTCACCA-CCACCGGGGCACCGAACTTTCGGAACAAGTATTCGTACGGCATGGTC  6864\n",
+      "\n",
+      "               |||||||||||| |||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754336  CCGACGTCACCACCCACCGGGGCACCGAACTTTCGGAACAAGTATTCGTACGGCATGGTC  754277\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6865    CCCATGTTGAGCACGACCTTCTTGACGAGGACCGCGCCTATCTGCTGGATGACCCCGGCC  6924\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754276  CCCATGTTGAGCACGACCTTCTTGACGAGGACCGCGCCTATCTGCTGGATGACCCCGGCC  754217\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6925    GAGACGGAGCATATCAT-CCCGCGGCGGTGTATCCCGCTCCCACGGAGTGGTACCGGGAA  6983\n",
+      "\n",
+      "               ||||||||||||||||| ||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754216  GAGACGGAGCATATCATCCCCGCGGCGGTGTATCCCGCTCCCACGGAGTGGTACCGGGAA  754157\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6984    ACCCTTTGGATGACAAACTCGCAAGCGATGAGGAAAACGAAGATTGGCATGGCAGCGAAG  7043\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754156  ACCCTTTGGATGACAAACTCGCAAGCGATGAGGAAAACGAAGATTGGCATGGCAGCGAAG  754097\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7044    AGGGGGCCCAGGCCCGTGACCTTCTGGATCAGCAGAAGCAGCTGGATGG-CACGAGGACG  7102\n",
+      "\n",
+      "               |||||||| |||||||||||||||||||||||||||||||||||||||| ||||||||||\n",
+      "\n",
+      "Sbjct  754096  AGGGGGCCGAGGCCCGTGACCTTCTGGATCAGCAGAAGCAGCTGGATGGCCACGAGGACG  754037\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7103    GCGGCTATCATAGCTTTCTCAGCGAGCTCGTCCTTCTTCTTGATGAGCAAGTCCGTGCTC  7162\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  754036  GCGGCTATCATAGCTTTCTCAGCGAGCTCGTCCTTCTTCTTGATGAGCAAGTCCGTGCTC  753977\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7163    CCAAAGATTGCTTTCTTCGCCTCCAAAATCGTCGCGCCACCGGACCCGGTCTTCCGA-CT  7221\n",
+      "\n",
+      "               |||||||||||||||||||||||||| |||||||||||||||||||||||||||||| ||\n",
+      "\n",
+      "Sbjct  753976  CCAAAGATTGCTTTCTTCGCCTCCAACATCGTCGCGCCACCGGACCCGGTCTTCCGACCT  753917\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7222    TTGGCGTGGATGATGTGTTCCGTCACGGTGGAAACGCTCGCGGTCACCATGGAGAACACA  7281\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  753916  TTGGCGTGGATGATGTGTTCCGTCACGGTGGAAACGCTCGCGGTCACCATGGAGAACACA  753857\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7282    GCTCCACCTCTGCTCTGGTCCCTTGCAACGCAActctcctctctctctctctAGCTTGAC  7341\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  753856  GCTCCACCTCTGCTCTGGTCCCTTGCAACGCAACTCTCCTCTCTCTCTCTCTAGCTTGAC  753797\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7342    GCTTTGGGTCCAGTTCAGTTTTTCGTGGGaaaaaaaaTTGCCAAGGGGAAagagagagaa  7401\n",
+      "\n",
+      "               ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  753796  GCTTTGGGTCCAGTTCAGTTTTTCGTGGGAAAAAAAATTGCCAAGGGGAAAGAGAGAGAA  753737\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7402    agagagaCATGTCATG-CCCTCGCTCGAGGTGTTCGCTCGAGGAGGGAAAGGCGGTGTCT  7460\n",
+      "\n",
+      "               |||||||||||||||| |||||||||||||||||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  753736  AGAGAGACATGTCATGCCCCTCGCTCGAGGTGTTCGCTCGAGGAGGGAAAGGCGGTGTCT  753677\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  7461    TGGACGGGGGAGGAAGGGTACCTGGG-CTGCGGCTTAGAA  7499\n",
+      "\n",
+      "               |||||||||||||||||||||||||| |||||||||||||\n",
+      "\n",
+      "Sbjct  753676  TGGACGGGGGAGGAAGGGTACCTGGGCCTGCGGCTTAGAA  753637\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_019773227.1 PREDICTED: Branchiostoma belcheri uncharacterized LOC109473363 \n",
+      "\n",
+      "(LOC109473363), mRNA\n",
+      "\n",
+      "Length=6320\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 100 bits (110),  Expect = 1e-15\n",
+      "\n",
+      " Identities = 168/238 (71%), Gaps = 4/238 (2%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4710  ATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTC-CACAGCGGC  4768\n",
+      "\n",
+      "             ||||| || ||||| |||  |||| |||| ||||| |||| |    |  | ||||   ||\n",
+      "\n",
+      "Sbjct  2338  ATGGCCCGCTGGAACAGACCCTTGCTGAGAGGAGACACCA-CGTGGTAGCACACACTCGC  2280\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4769  ACCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGAT  4828\n",
+      "\n",
+      "             |||||| |||||||||||||| |||||||||  |  ||||||  | ||||| | |  |||\n",
+      "\n",
+      "Sbjct  2279  ACCGCCAGCGGACTCGCCGAAGATCGTGACCCGGTCTGGATCTCCTCCAAAGTTCCGGAT  2220\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829  GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTC  4888\n",
+      "\n",
+      "             |||||| || |||||   || ||||  || ||| || |  |||||||| |||  |  | |\n",
+      "\n",
+      "Sbjct  2219  GTTCTCTTGGACCCAAACCATCGCCTGGACCTGGTCCAGGAAGCCAAAATTCCCGGGGGC  2160\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4889  CTTCAGGTCAGGATGAGC-GAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCAC  4945\n",
+      "\n",
+      "               ||  |||   | | || |||||| || ||  | || |||| ||||||| |||| ||\n",
+      "\n",
+      "Sbjct  2159  AATCTCGTCCCCA-GTGCTGAAGAACCCCAGCACGCCCAGCCGGTAGTTACAGGTGAC  2103\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP012672.1 Sorangium cellulosum strain So ce836 chromosome, complete genome\n",
+      "\n",
+      "Length=14598830\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 96.9 bits (106),  Expect = 1e-14\n",
+      "\n",
+      " Identities = 148/208 (71%), Gaps = 10/208 (5%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||| |||| |||||| ||||| || |||   || ||  |||| |||  | ||||||| \n",
+      "\n",
+      "Sbjct  3881974  CCCGCCGACTGGCCGAAGATCGTCACGTTGCCAGGGTCGCCGCCGAACGCCGCGATGTTG  3882033\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT---CGTGTCG---  4886\n",
+      "\n",
+      "                  ||||||||||  |||||| ||||||||||| | || ||| |||||   ||   ||   \n",
+      "\n",
+      "Sbjct  3882034  CGCTGCACCCACTCCAGCGCGGCGATCTGATCGAGCAGGCCGAAGTTGACCGGCCCGAGC  3882093\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4887     TCC---TTCAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTC  4943\n",
+      "\n",
+      "                |||   | |||| | ||||| |||||||| ||||||   || |  | |||||| | ||||\n",
+      "\n",
+      "Sbjct  3882094  TCCCTGTCCAGGCCCGGATGGGCGAAGAACCCGAGGAGGCCCACGCGGTAGTTGATGGTC  3882153\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4944     A-CAGAACGACGCCCTTGCCGACCAACG  4970\n",
+      "\n",
+      "                | ||  ||  ||||||| | | ||| ||\n",
+      "\n",
+      "Sbjct  3882154  ACCACCACCGCGCCCTTCCTGGCCAGCG  3882181\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 55.4 bits (60),  Expect = 0.040\n",
+      "\n",
+      " Identities = 69/95 (73%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                |||||||| ||||||||||| |  |||||||||   |||||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  8235810  CCGCCCGCCGACTCGCCGAACAGGGTGACCTTGCCCGGATCGCCGCCGAAGGCGCCGATG  8235751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||  |||  ||||||   ||||| |||  ||| ||\n",
+      "\n",
+      "Sbjct  8235750  TTGGCCTTGACCCACTCGAGCGCGGCGCGCTGGTC  8235716\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP013244.1 Caulobacteraceae bacterium OTSz_A_272, complete genome\n",
+      "\n",
+      "Length=3732719\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 92.4 bits (101),  Expect = 6e-13\n",
+      "\n",
+      " Identities = 115/158 (73%), Gaps = 0/158 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4707     ACAATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCG  4766\n",
+      "\n",
+      "                |||||||||||  |||||||   ||| |  ||||| ||  ||| |||  || |||| |  \n",
+      "\n",
+      "Sbjct  2185994  ACAATGGCGCGCCGGAAAAGGCCCTTCGCCAGCGGCGAGGCCAACAAGTTCGCCACCGAC  2186053\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4767     GCACCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCG  4826\n",
+      "\n",
+      "                  | |||| ||||| |||||||||| |||||| || |  | |||  |||| ||   | | \n",
+      "\n",
+      "Sbjct  2186054  ATAGCGCCGGCGGATTCGCCGAAAACCGTGACGTTCGCCGCATCGCCGCCGAATGCCGCA  2186113\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4827     ATGTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||||| |  |||||||| |||| ||||||||| |||||\n",
+      "\n",
+      "Sbjct  2186114  ATGTTATTTTGCACCCATCGCAACGCCGCGATTTGATC  2186151\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_008219175.2 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X9, mRNA\n",
+      "\n",
+      "Length=4163\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2082  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  2023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  2022  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1982\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986598.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X8, mRNA\n",
+      "\n",
+      "Length=4577\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2082  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  2023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  2022  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1982\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986597.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X7, mRNA\n",
+      "\n",
+      "Length=5981\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1512  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  1453\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  1452  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1412\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986596.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X6, mRNA\n",
+      "\n",
+      "Length=6009\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1540  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  1481\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  1480  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1440\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986595.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X5, mRNA\n",
+      "\n",
+      "Length=5953\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1484  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  1425\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  1424  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1384\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986594.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X4, mRNA\n",
+      "\n",
+      "Length=6099\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1630  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  1571\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  1570  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1530\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986593.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X3, mRNA\n",
+      "\n",
+      "Length=6071\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  1602  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  1543\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  1542  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1502\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_016986592.1 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X2, mRNA\n",
+      "\n",
+      "Length=6472\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2003  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  1944\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  1943  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1903\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_008219173.2 PREDICTED: Nasonia vitripennis neuroligin 4 (LOC100114473), transcript \n",
+      "\n",
+      "variant X1, mRNA\n",
+      "\n",
+      "Length=6551\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 88.7 bits (97),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 80/101 (79%), Gaps = 0/101 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4781  CTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTCTCCTGCAC  4840\n",
+      "\n",
+      "             || ||| | || |||||| |||   || ||  ||||||| | ||||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2082  CTGGCCCATAAGCGTGACGTTGCTCGGGTCGCCGCCAAAGTACTCGATGTTCTGCTGCAC  2023\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4841  CCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCG  4881\n",
+      "\n",
+      "             |||  ||||||||||||||||||| | || |||  ||||||\n",
+      "\n",
+      "Sbjct  2022  CCAGTGCAGCGCCGCGATCTGATCCATCAGGCCGTAGTTCG  1982\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP042324.1 Streptomyces coelicolor A3(2) strain CFB_NBC_0001 chromosome, \n",
+      "\n",
+      "complete genome\n",
+      "\n",
+      "Length=8667664\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 87.8 bits (96),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 81/103 (79%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||| ||||||||||| |||||||||| |   || ||  |||| |||    ||||||\n",
+      "\n",
+      "Sbjct  4714775  CGCCCGCCGACTCGCCGAAGATCGTGACCTGGTCGGGGTCGCCGCCGAACGCGGCGATGT  4714716\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                | |||||||||||   ||||||||||||||| || | || |||\n",
+      "\n",
+      "Sbjct  4714715  TGTCCTGCACCCAGGCCAGCGCCGCGATCTGGTCGAGCAGGCC  4714673\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 53.6 bits (58),  Expect = 0.14\n",
+      "\n",
+      " Identities = 68/94 (72%), Gaps = 0/94 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||||||||||| ||||   |  ||||||  |   || ||  |||| ||   | ||||||\n",
+      "\n",
+      "Sbjct  6729924  CGCCCGCGGACTGGCCGGCGACGGTGACCCGGTCGGGGTCGCCGCCGAAGGCCGCGATGT  6729865\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                | ||| |||||||| | || || |||||||| ||\n",
+      "\n",
+      "Sbjct  6729864  TGTCCCGCACCCACTGGAGGGCGGCGATCTGGTC  6729831\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP027433.1 Gordonia iterans strain Co17 chromosome, complete genome\n",
+      "\n",
+      "Length=4006485\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 87.8 bits (96),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 81/103 (79%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||||||||||||||| || || ||   |   || ||  |||| |||  | ||||||\n",
+      "\n",
+      "Sbjct  1148654  CGCCCGCGGACTCGCCGAAGATGGTCACGCGGTCCGGGTCGCCGCCGAACGCCGCGATGT  1148595\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                |||||||||||||||||| ||| |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  1148594  TCTCCTGCACCCACCGCAACGCGGCGATCTGGTCGAGCAGGCC  1148552\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 67.1 bits (73),  Expect = 2e-05\n",
+      "\n",
+      " Identities = 65/84 (77%), Gaps = 0/84 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                |||||||| ||||||||||| | ||||||   |   || ||  |||| ||  ||||||||\n",
+      "\n",
+      "Sbjct  3832343  CCGCCCGCCGACTCGCCGAACACCGTGACTCGGTCGGGGTCGCCGCCGAAACGCTCGATG  3832402\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCC  4853\n",
+      "\n",
+      "                ||   ||||||||| |||||||||\n",
+      "\n",
+      "Sbjct  3832403  TTGCGCTGCACCCAGCGCAGCGCC  3832426\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">LT629768.1 Streptomyces sp. 2114.2 genome assembly, chromosome: I\n",
+      "\n",
+      "Length=8620263\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 87.8 bits (96),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 81/103 (79%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||| ||||||||||| |||||||||| |   || ||  |||| |||    ||||||\n",
+      "\n",
+      "Sbjct  4823541  CGCCCGCCGACTCGCCGAAGATCGTGACCTGGTCGGGGTCGCCGCCGAACGCGGCGATGT  4823482\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                | |||||||||||   ||||||||||||||| || | || |||\n",
+      "\n",
+      "Sbjct  4823481  TGTCCTGCACCCAGGCCAGCGCCGCGATCTGGTCGAGCAGGCC  4823439\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 56.3 bits (61),  Expect = 0.040\n",
+      "\n",
+      " Identities = 74/103 (72%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||||||||||| ||||   |  ||||||  |   || ||  |||| ||   | ||||||\n",
+      "\n",
+      "Sbjct  6852492  CGCCCGCGGACTGGCCGGCGACGGTGACCCGGTCGGGGTCGCCGCCGAAGGCCGCGATGT  6852433\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                | ||| |||||||| | || || |||||||| ||   ||||||\n",
+      "\n",
+      "Sbjct  6852432  TGTCCCGCACCCACTGGAGGGCGGCGATCTGGTCGCGCAAGCC  6852390\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP009124.1 Streptomyces lividans TK24, complete genome\n",
+      "\n",
+      "Length=8345283\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 87.8 bits (96),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 81/103 (79%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||| ||||||||||| |||||||||| |   || ||  |||| |||    ||||||\n",
+      "\n",
+      "Sbjct  3779325  CGCCCGCCGACTCGCCGAAGATCGTGACCTGGTCGGGGTCGCCGCCGAACGCGGCGATGT  3779384\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                | |||||||||||   ||||||||||||||| || | || |||\n",
+      "\n",
+      "Sbjct  3779385  TGTCCTGCACCCAGGCCAGCGCCGCGATCTGGTCGAGCAGGCC  3779427\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 53.6 bits (58),  Expect = 0.14\n",
+      "\n",
+      " Identities = 68/94 (72%), Gaps = 0/94 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||||||||||| ||||   |  ||||||  |   || ||  |||| ||   | ||||||\n",
+      "\n",
+      "Sbjct  1726163  CGCCCGCGGACTGGCCGGCGACGGTGACCCGGTCGGGGTCGCCGCCGAAGGCCGCGATGT  1726222\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                | ||| |||||||| | || || |||||||| ||\n",
+      "\n",
+      "Sbjct  1726223  TGTCCCGCACCCACTGGAGGGCGGCGATCTGGTC  1726256\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.0 bits (54),  Expect = 1.7\n",
+      "\n",
+      " Identities = 66/92 (72%), Gaps = 0/92 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                |||| ||||| ||||   |  ||||| |||   |||||  | || ||     ||||||||\n",
+      "\n",
+      "Sbjct  8050578  CCCGAGGACTGGCCGGCGACGGTGACGTTGCCGGGATCGCCACCGAAGGCGGCGATGTTC  8050637\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||  ||||||||||||| || |||| ||| ||\n",
+      "\n",
+      "Sbjct  8050638  TCGCGCACCCACCGCAGGGCGGCGACCTGGTC  8050669\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AL939119.1 Streptomyces coelicolor A3(2) complete genome; segment 16/29\n",
+      "\n",
+      "Length=299050\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 87.8 bits (96),  Expect = 7e-12\n",
+      "\n",
+      " Identities = 81/103 (79%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771    CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "               ||||||| ||||||||||| |||||||||| |   || ||  |||| |||    ||||||\n",
+      "\n",
+      "Sbjct  184293  CGCCCGCCGACTCGCCGAAGATCGTGACCTGGTCGGGGTCGCCGCCGAACGCGGCGATGT  184234\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831    TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "               | |||||||||||   ||||||||||||||| || | || |||\n",
+      "\n",
+      "Sbjct  184233  TGTCCTGCACCCAGGCCAGCGCCGCGATCTGGTCGAGCAGGCC  184191\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP002102.1 Brevundimonas subvibrioides ATCC 15264, complete genome\n",
+      "\n",
+      "Length=3445263\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 86.9 bits (95),  Expect = 2e-11\n",
+      "\n",
+      " Identities = 85/110 (77%), Gaps = 0/110 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                || || || || |||||||| ||||| |||||||  |||||  | || |||||  |||||\n",
+      "\n",
+      "Sbjct  2280018  CCTCCGGCCGATTCGCCGAAGATCGTCACCTTGGCCGGATCACCCCCGAACTGACCGATG  2280077\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "                || ||  ||||||||  ||||||||||||||| || |  | |||| ||||\n",
+      "\n",
+      "Sbjct  2280078  TTGTCGCGCACCCACTCCAGCGCCGCGATCTGGTCCATGACGCCATAGTT  2280127\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 62.6 bits (68),  Expect = 3e-04\n",
+      "\n",
+      " Identities = 67/89 (75%), Gaps = 0/89 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||| ||||||||||| | ||| || ||||  || ||  |||| |||    |||| |\n",
+      "\n",
+      "Sbjct  2851631  CGCCCGCCGACTCGCCGAAGACCGTCACATTGGCGGGGTCGCCGCCGAACCCGGCGATAT  2851572\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATC  4859\n",
+      "\n",
+      "                | ||  |||||||||  ||||| ||||||\n",
+      "\n",
+      "Sbjct  2851571  TGTCGCGCACCCACCCGAGCGCTGCGATC  2851543\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP019779.1 Streptomyces sp. MOE7, complete genome\n",
+      "\n",
+      "Length=8399509\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 86.0 bits (94),  Expect = 2e-11\n",
+      "\n",
+      " Identities = 138/195 (71%), Gaps = 4/195 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770    CCGCCCGCGGACTCGCCGAAAATCGTGACCTTG-GATGGATCCGCGCCAAACTGCTCGAT  4828\n",
+      "\n",
+      "               ||||||||||||||||||   | |||||  ||| || || ||  |||| |||    ||||\n",
+      "\n",
+      "Sbjct  578816  CCGCCCGCGGACTCGCCGGCCAGCGTGAGGTTGTGACGG-TCGCCGCCGAACGCGCCGAT  578874\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829    GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTC  4888\n",
+      "\n",
+      "               |||| || ||||||| |||||||||||   ||| ||    |  || ||| |   | || |\n",
+      "\n",
+      "Sbjct  578875  GTTCGCCCGCACCCAGCGCAGCGCCGCCTGCTGGTCGGCGAGTCCGAAGGTGCCGGCGCC  578934\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4889    CTTCAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCACAGA  4948\n",
+      "\n",
+      "               |  |||  ||   || |||||||| |||||||| || || | |||||| | ||| ||   \n",
+      "\n",
+      "Sbjct  578935  CGGCAGACCACTGTGGGCGAAGAAGCCGAGGGCGCCGAGACGGTAGTTGAGGGTGAC--C  578992\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4949    ACGACGCCCTTGCCG  4963\n",
+      "\n",
+      "               |||||| | ||||||\n",
+      "\n",
+      "Sbjct  578993  ACGACGACATTGCCG  579007\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP012573.1 Clavibacter michiganensis strain PF008, complete genome\n",
+      "\n",
+      "Length=3056296\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 85.1 bits (93),  Expect = 8e-11\n",
+      "\n",
+      " Identities = 69/84 (82%), Gaps = 0/84 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                |||||||||||||||||||| | |||||| |||   |||||| |||| |||  |  ||||\n",
+      "\n",
+      "Sbjct  2156465  CCGCCCGCGGACTCGCCGAAGACCGTGACGTTGTCGGGATCCCCGCCGAACGCCCGGATG  2156524\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCC  4853\n",
+      "\n",
+      "                |||||  |||||||||| ||||||\n",
+      "\n",
+      "Sbjct  2156525  TTCTCGCGCACCCACCGGAGCGCC  2156548\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP023690.1 Streptomyces spectabilis strain ATCC 27465 chromosome, complete \n",
+      "\n",
+      "genome\n",
+      "\n",
+      "Length=9807160\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 122/173 (71%), Gaps = 0/173 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||||||||||||||| | ||| ||   |   || ||  |||| ||  || |   ||||\n",
+      "\n",
+      "Sbjct  9694693  CCCGCGGACTCGCCGAACAGCGTCACGCGGCCCGGGTCGCCGCCGAAGCGCGCCGCGTTC  9694634\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCCTTC  4892\n",
+      "\n",
+      "                 || ||||||| |||||||||||   ||| ||    | ||| ||||||||  || |   |\n",
+      "\n",
+      "Sbjct  9694633  GCCCGCACCCAGCGCAGCGCCGCACGCTGGTCGGCGAGGCCGAAGTTCGTCGCGCCGCGC  9694574\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4893     AGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCAC  4945\n",
+      "\n",
+      "                || || || ||  ||||||| |||||| | || |||| |||||| |  |||||\n",
+      "\n",
+      "Sbjct  9694573  AGCTCCGGGTGGCCGAAGAAGCCGAGGACGCCGAGCCGGTAGTTGAGCGTCAC  9694521\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP040916.1 Streptomyces spectabilis strain NRRL 2792 chromosome, complete \n",
+      "\n",
+      "genome\n",
+      "\n",
+      "Length=9505665\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 122/173 (71%), Gaps = 0/173 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||||||||||||||| | ||| ||   |   || ||  |||| ||  || |   ||||\n",
+      "\n",
+      "Sbjct  9278237  CCCGCGGACTCGCCGAACAGCGTCACGCGGCCCGGGTCGCCGCCGAAGCGCGCCGCGTTC  9278178\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCCTTC  4892\n",
+      "\n",
+      "                 || ||||||| |||||||||||   ||| ||    | ||| ||||||||  || |   |\n",
+      "\n",
+      "Sbjct  9278177  GCCCGCACCCAGCGCAGCGCCGCCCGCTGGTCGGCGAGGCCGAAGTTCGTCGCGCCGCGC  9278118\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4893     AGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCAC  4945\n",
+      "\n",
+      "                || || || ||  ||||||| |||||| | || |||| |||||| |  |||||\n",
+      "\n",
+      "Sbjct  9278117  AGCTCCGGGTGGCCGAAGAAGCCGAGGACGCCGAGCCGGTAGTTGAGCGTCAC  9278065\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 59.0 bits (64),  Expect = 0.003\n",
+      "\n",
+      " Identities = 65/87 (75%), Gaps = 0/87 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||||||||||| |||||| | |||||| |||   || ||  |||| |||  ||||| | \n",
+      "\n",
+      "Sbjct  8043786  CGCCCGCGGACTGGCCGAAGACCGTGACGTTGCCGGGGTCGCCGCCGAACGCCTCGACGG  8043727\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGA  4857\n",
+      "\n",
+      "                | ||  | ||||| | |||||| ||||\n",
+      "\n",
+      "Sbjct  8043726  TGTCGCGTACCCATCTCAGCGCGGCGA  8043700\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 38/45 (84%), Gaps = 0/45 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6473     CGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGAACACGTACTCGA  6517\n",
+      "\n",
+      "                ||||||| || | |||||||||||| |||  ||| ||||||||||\n",
+      "\n",
+      "Sbjct  2285295  CGTGGTGCACGCGGTGGTGCGAGGGCGTGTTGAAGACGTACTCGA  2285339\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_028126955.1 PREDICTED: Eptesicus fuscus carboxylesterase 1 (CES1), transcript \n",
+      "\n",
+      "variant X4, mRNA\n",
+      "\n",
+      "Length=1552\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 123/172 (72%), Gaps = 2/172 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4710  ATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCA  4769\n",
+      "\n",
+      "             ||||| |||||||| ||||||||||  || ||||| | ||  | ||     |||    | \n",
+      "\n",
+      "Sbjct  810   ATGGCCCGGTGGAAGAGATTCTTGGCCAGGGGAGATAACACAAGAACAGAGACACTTTCC  751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770  CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAA-CTGCTCGAT  4828\n",
+      "\n",
+      "             || ||||| ||||| ||||| || || |||  |  ||| ||| | ||||| |||  | ||\n",
+      "\n",
+      "Sbjct  750   CCTCCCGCTGACTCTCCGAAGATGGTCACCGAGCCTGGGTCCCCTCCAAAGCTGG-CAAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829  GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTC  4880\n",
+      "\n",
+      "             ||||||||| ||||| |||||||| || | ||| || ||   |||  |||||\n",
+      "\n",
+      "Sbjct  691   GTTCTCCTGGACCCAGCGCAGCGCGGCCAGCTGGTCTAAGTGGCCCCAGTTC  640\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_008152330.2 PREDICTED: Eptesicus fuscus carboxylesterase 1 (CES1), transcript \n",
+      "\n",
+      "variant X3, mRNA\n",
+      "\n",
+      "Length=1944\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 123/172 (72%), Gaps = 2/172 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4710  ATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCA  4769\n",
+      "\n",
+      "             ||||| |||||||| ||||||||||  || ||||| | ||  | ||     |||    | \n",
+      "\n",
+      "Sbjct  810   ATGGCCCGGTGGAAGAGATTCTTGGCCAGGGGAGATAACACAAGAACAGAGACACTTTCC  751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770  CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAA-CTGCTCGAT  4828\n",
+      "\n",
+      "             || ||||| ||||| ||||| || || |||  |  ||| ||| | ||||| |||  | ||\n",
+      "\n",
+      "Sbjct  750   CCTCCCGCTGACTCTCCGAAGATGGTCACCGAGCCTGGGTCCCCTCCAAAGCTGG-CAAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829  GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTC  4880\n",
+      "\n",
+      "             ||||||||| ||||| |||||||| || | ||| || ||   |||  |||||\n",
+      "\n",
+      "Sbjct  691   GTTCTCCTGGACCCAGCGCAGCGCGGCCAGCTGGTCTAAGTGGCCCCAGTTC  640\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_028126954.1 PREDICTED: Eptesicus fuscus carboxylesterase 1 (CES1), transcript \n",
+      "\n",
+      "variant X2, mRNA\n",
+      "\n",
+      "Length=1888\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 123/172 (72%), Gaps = 2/172 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4710  ATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCA  4769\n",
+      "\n",
+      "             ||||| |||||||| ||||||||||  || ||||| | ||  | ||     |||    | \n",
+      "\n",
+      "Sbjct  810   ATGGCCCGGTGGAAGAGATTCTTGGCCAGGGGAGATAACACAAGAACAGAGACACTTTCC  751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770  CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAA-CTGCTCGAT  4828\n",
+      "\n",
+      "             || ||||| ||||| ||||| || || |||  |  ||| ||| | ||||| |||  | ||\n",
+      "\n",
+      "Sbjct  750   CCTCCCGCTGACTCTCCGAAGATGGTCACCGAGCCTGGGTCCCCTCCAAAGCTGG-CAAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829  GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTC  4880\n",
+      "\n",
+      "             ||||||||| ||||| |||||||| || | ||| || ||   |||  |||||\n",
+      "\n",
+      "Sbjct  691   GTTCTCCTGGACCCAGCGCAGCGCGGCCAGCTGGTCTAAGTGGCCCCAGTTC  640\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_028126953.1 PREDICTED: Eptesicus fuscus carboxylesterase 1 (CES1), transcript \n",
+      "\n",
+      "variant X1, mRNA\n",
+      "\n",
+      "Length=1927\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 123/172 (72%), Gaps = 2/172 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4710  ATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCA  4769\n",
+      "\n",
+      "             ||||| |||||||| ||||||||||  || ||||| | ||  | ||     |||    | \n",
+      "\n",
+      "Sbjct  810   ATGGCCCGGTGGAAGAGATTCTTGGCCAGGGGAGATAACACAAGAACAGAGACACTTTCC  751\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770  CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAA-CTGCTCGAT  4828\n",
+      "\n",
+      "             || ||||| ||||| ||||| || || |||  |  ||| ||| | ||||| |||  | ||\n",
+      "\n",
+      "Sbjct  750   CCTCCCGCTGACTCTCCGAAGATGGTCACCGAGCCTGGGTCCCCTCCAAAGCTGG-CAAT  692\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829  GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTC  4880\n",
+      "\n",
+      "             ||||||||| ||||| |||||||| || | ||| || ||   |||  |||||\n",
+      "\n",
+      "Sbjct  691   GTTCTCCTGGACCCAGCGCAGCGCGGCCAGCTGGTCTAAGTGGCCCCAGTTC  640\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_018062017.1 PREDICTED: Capra hircus liver carboxylesterase (LOC102188340), \n",
+      "\n",
+      "mRNA\n",
+      "\n",
+      "Length=1890\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 83.3 bits (91),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 123/172 (72%), Gaps = 2/172 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4710  ATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCGGCA  4769\n",
+      "\n",
+      "             ||||| |||||||||||||||||||  || ||||| |  |  | ||    ||||    | \n",
+      "\n",
+      "Sbjct  772   ATGGCCCGGTGGAAAAGATTCTTGGCCAGAGGAGATAAAACAAGAACAGACACACTTTCC  713\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770  CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAA-CTGCTCGAT  4828\n",
+      "\n",
+      "             || || || ||||| || || || || ||   |  ||||||| ||||||| |||  | ||\n",
+      "\n",
+      "Sbjct  712   CCTCCTGCTGACTCTCCAAAGATGGTCACAGAGCCTGGATCCCCGCCAAAGCTGG-CAAT  654\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4829  GTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTC  4880\n",
+      "\n",
+      "             ||||||||| |||||| ||||||| || | ||| || ||   |||  |||||\n",
+      "\n",
+      "Sbjct  653   GTTCTCCTGGACCCACTGCAGCGCGGCCACCTGGTCCAAGTGGCCCCAGTTC  602\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP018870.1 Streptomyces sp. TN58, complete genome\n",
+      "\n",
+      "Length=7585034\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 82.4 bits (90),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 105/142 (74%), Gaps = 11/142 (8%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6398     CACCTCGGAGAGAAAGGTGCCGAACCAGCGGTCC-ACAGGATGAAAATTCT-CCAAAGTT  6455\n",
+      "\n",
+      "                ||||||||   | |||||||||||   ||||||| | |||||||  || || || |||||\n",
+      "\n",
+      "Sbjct  3089408  CACCTCGGGCTGGAAGGTGCCGAAGATGCGGTCCCAGAGGATGAGGATGCTGCCGAAGTT  3089467\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6456     CTTGTGAAGCC--TCC-------TGTCGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGAA  6506\n",
+      "\n",
+      "                |||||  ||    |||       || ||||||| || | |||||||||||| |||  |||\n",
+      "\n",
+      "Sbjct  3089468  CTTGTCCAGGTATTCCGGGTCGTTGCCGTGGTGCACGCGGTGGTGCGAGGGCGTGACGAA  3089527\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6507     CACGTACTCGAACCAGTCCGGC  6528\n",
+      "\n",
+      "                 |||||||||||||||  ||||\n",
+      "\n",
+      "Sbjct  3089528  GACGTACTCGAACCAGCGCGGC  3089549\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 69.8 bits (76),  Expect = 2e-06\n",
+      "\n",
+      " Identities = 131/192 (68%), Gaps = 2/192 (1%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771    CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "               ||||||||||||||||||| | ||||||  ||   |||||  |||| ||  || ||  ||\n",
+      "\n",
+      "Sbjct  117785  CGCCCGCGGACTCGCCGAAGAGCGTGACGCTGCCCGGATCGCCGCCGAAGCGCGCGGCGT  117844\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831    TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCCT  4890\n",
+      "\n",
+      "               || || ||||||| ||||| || ||   ||| ||   || ||| ||   || | || |  \n",
+      "\n",
+      "Sbjct  117845  TCGCCCGCACCCAGCGCAGGGCGGCCTGCTGGTCCGCCAGGCCGAACGGCGGGGCGGCGC  117904\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4891    TCAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCACAGAAC  4950\n",
+      "\n",
+      "                |||  | || ||  ||||| | |||| |   || |||| |||||| |  |||||   ||\n",
+      "\n",
+      "Sbjct  117905  CCAGCCCGGGGTGGCCGAAGTAGCCGAAGATCCCCAGCCGGTAGTTGACCGTCAC--GAC  117962\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4951    GACGCCCTTGCC  4962\n",
+      "\n",
+      "               |||| | | |||\n",
+      "\n",
+      "Sbjct  117963  GACGGCGTCGCC  117974\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 69.8 bits (76),  Expect = 2e-06\n",
+      "\n",
+      " Identities = 131/192 (68%), Gaps = 2/192 (1%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||||||||||||||| | ||||||  ||   |||||  |||| ||  || ||  ||\n",
+      "\n",
+      "Sbjct  7467250  CGCCCGCGGACTCGCCGAAGAGCGTGACGCTGCCCGGATCGCCGCCGAAGCGCGCGGCGT  7467191\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCCT  4890\n",
+      "\n",
+      "                || || ||||||| ||||| || ||   ||| ||   || ||| ||   || | || |  \n",
+      "\n",
+      "Sbjct  7467190  TCGCCCGCACCCAGCGCAGGGCGGCCTGCTGGTCCGCCAGGCCGAACGGCGGGGCGGCGC  7467131\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4891     TCAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCACAGAAC  4950\n",
+      "\n",
+      "                 |||  | || ||  ||||| | |||| |   || |||| |||||| |  |||||   ||\n",
+      "\n",
+      "Sbjct  7467130  CCAGCCCGGGGTGGCCGAAGTAGCCGAAGATCCCCAGCCGGTAGTTGACCGTCAC--GAC  7467073\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4951     GACGCCCTTGCC  4962\n",
+      "\n",
+      "                |||| | | |||\n",
+      "\n",
+      "Sbjct  7467072  GACGGCGTCGCC  7467061\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 51.8 bits (56),  Expect = 0.49\n",
+      "\n",
+      " Identities = 73/103 (71%), Gaps = 0/103 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||| |||||||||||||| |  |||||   ||  || ||  |||| ||   ||||||||\n",
+      "\n",
+      "Sbjct  7039326  CGCCGGCGGACTCGCCGAAGACGGTGACGCGGGCCGGGTCGCCGCCGAAGGCCTCGATGT  7039267\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                | ||  | |||||    || || |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  7039266  TGTCGCGGACCCATTCGAGGGCGGCGATCTGGTCGAGCAGGCC  7039224\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 51.8 bits (56),  Expect = 0.49\n",
+      "\n",
+      " Identities = 61/83 (73%), Gaps = 0/83 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||| ||||||||||| |  ||||| |||   || ||  |||| ||| ||||   ||||\n",
+      "\n",
+      "Sbjct  7170658  CCCGCCGACTCGCCGAAGACGGTGACGTTGCCGGGGTCGCCGCCGAACCGCTCCGCGTTC  7170717\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGC  4855\n",
+      "\n",
+      "                  | ||||||| |||| | ||||\n",
+      "\n",
+      "Sbjct  7170718  GTCCGCACCCAGCGCAACACCGC  7170740\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP013189.1 Pseudohongiella spirulinae strain KCTC 32221, complete genome\n",
+      "\n",
+      "Length=3345119\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 82.4 bits (90),  Expect = 3e-10\n",
+      "\n",
+      " Identities = 79/101 (78%), Gaps = 3/101 (3%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4766     GGCACCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTC  4825\n",
+      "\n",
+      "                |||||||   || |||||||| ||||| ||||| |||   |||||  ||||||||  | |\n",
+      "\n",
+      "Sbjct  2872812  GGCACCG---GCAGACTCGCCAAAAATGGTGACATTGTCCGGATCTCCGCCAAACGCCGC  2872868\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4826     GATGTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAA  4866\n",
+      "\n",
+      "                |||||| |||||||||||  |||| |||   ||||||||||\n",
+      "\n",
+      "Sbjct  2872869  GATGTTGTCCTGCACCCATTGCAGAGCCTGAATCTGATCAA  2872909\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 63.5 bits (69),  Expect = 3e-04\n",
+      "\n",
+      " Identities = 99/142 (70%), Gaps = 0/142 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4707     ACAATGGCGCGGTGGAAAAGATTCTTGGTGAGCGGAGAAACCATCAAAATCTCCACAGCG  4766\n",
+      "\n",
+      "                |||||||| |||||||| ||   ||  |  | ||| |||   | ||   ||   |||  |\n",
+      "\n",
+      "Sbjct  1227643  ACAATGGCTCGGTGGAACAGTCCCTCCGCCATCGGTGAAGTTACCAGGCTCATGACATTG  1227584\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4767     GCACCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCG  4826\n",
+      "\n",
+      "                 ||||||| || || || || ||||| ||||| |||   || ||  ||||||||   |||\n",
+      "\n",
+      "Sbjct  1227583  CCACCGCCGGCTGATTCCCCAAAAATAGTGACATTGCCCGGGTCACCGCCAAACACTTCG  1227524\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4827     ATGTTCTCCTGCACCCACCGCA  4848\n",
+      "\n",
+      "                || || |||||||||||| |||\n",
+      "\n",
+      "Sbjct  1227523  ATATTGTCCTGCACCCACTGCA  1227502\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP031455.1 Streptomyces olivoreticuli subsp. olivoreticuli strain ATCC 31159 \n",
+      "\n",
+      "chromosome, complete genome\n",
+      "\n",
+      "Length=8809793\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 76/97 (78%), Gaps = 0/97 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4768     CACCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGA  4827\n",
+      "\n",
+      "                |||| || || ||||| ||||| ||||| ||||     || ||| |||| |||  |  ||\n",
+      "\n",
+      "Sbjct  1220523  CACCCCCTGCCGACTCCCCGAAGATCGTCACCTGCCCCGGGTCCCCGCCGAACGCCGTGA  1220582\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4828     TGTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                |||||||||| |||||  |||||||||||||||||||\n",
+      "\n",
+      "Sbjct  1220583  TGTTCTCCTGGACCCAGTGCAGCGCCGCGATCTGATC  1220619\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP007215.3 Kosakonia sacchari SP1 chromosome, complete genome\n",
+      "\n",
+      "Length=4902027\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 82/107 (77%), Gaps = 0/107 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||| || ||||| || | ||| || |||   |  ||  ||||||||    |||| || \n",
+      "\n",
+      "Sbjct  2352601  CCCGCCGATTCGCCAAACAGCGTCACGTTGTCAGCGTCTCCGCCAAACGCGGCGATATTT  2352542\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "                ||||||||||| |||||||| || |||||||||| |||||| |||||\n",
+      "\n",
+      "Sbjct  2352541  TCCTGCACCCAACGCAGCGCGGCTATCTGATCAAGCAAGCCGAAGTT  2352495\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP011491.1 Mycobacterium vaccae 95051, complete genome\n",
+      "\n",
+      "Length=6235754\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 73/92 (79%), Gaps = 0/92 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||||||||||||||| | ||| |||  |   |||||| |||| |||    ||||||| \n",
+      "\n",
+      "Sbjct  2594931  CCCGCGGACTCGCCGAACACCGTCACCCGGCCCGGATCCCCGCCGAACGCGGCGATGTTG  2594872\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||| ||||||| |||| |||||||||||| ||\n",
+      "\n",
+      "Sbjct  2594871  TCCCGCACCCAGCGCAACGCCGCGATCTGGTC  2594840\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 58.1 bits (63),  Expect = 0.012\n",
+      "\n",
+      " Identities = 66/89 (74%), Gaps = 0/89 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                ||||||||||||  ||||| |  || || |||   || ||  |||| || | ||||||||\n",
+      "\n",
+      "Sbjct  4665013  CGCCCGCGGACTGCCCGAACAGTGTCACGTTGTCGGGGTCGCCGCCGAAGTTCTCGATGT  4664954\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATC  4859\n",
+      "\n",
+      "                |  | | |||||||| |||||| || |||\n",
+      "\n",
+      "Sbjct  4664953  TGGCTTTCACCCACCTCAGCGCGGCCATC  4664925\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP010797.1 Rhodococcus sp. B7740, complete genome\n",
+      "\n",
+      "Length=5341557\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 88/117 (75%), Gaps = 0/117 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||||||||| |||||||| || ||||| |||   |||||  |||| || | | |||||\n",
+      "\n",
+      "Sbjct  2543696  CCGCCCGCGGATTCGCCGAAGATGGTGACGTTGTTCGGATCGCCGCCGAAGTTCGCGATG  2543637\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCG  4886\n",
+      "\n",
+      "                ||   |||||||||   |||||| |||| ||||||   || ||| | ||| | ||||\n",
+      "\n",
+      "Sbjct  2543636  TTGCGCTGCACCCATTCCAGCGCTGCGACCTGATCCCGCAGGCCCAGGTTGGAGTCG  2543580\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 64.4 bits (70),  Expect = 8e-05\n",
+      "\n",
+      " Identities = 71/95 (75%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||||||||||| |||||| |  || || |||  ||| ||  |||| ||  || |||||\n",
+      "\n",
+      "Sbjct  3198444  CCGCCCGCGGACTGGCCGAACAGAGTCACGTTGTGTGGGTCACCGCCGAATCGCGCGATG  3198385\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||   |  ||||||  |||| || |||||||||||\n",
+      "\n",
+      "Sbjct  3198384  TTGGTCGACACCCAGTGCAGTGCTGCGATCTGATC  3198350\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP006254.2 Geobacillus genomosp. 3 strain JF8, complete genome\n",
+      "\n",
+      "Length=3446630\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 82/107 (77%), Gaps = 0/107 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                || || || |||||||||||||| || |||   |||||  ||||||||  | ||||||||\n",
+      "\n",
+      "Sbjct  2937573  CCGGCCGATTCGCCGAAAATCGTCACATTGTCCGGATCGCCGCCAAACGCCGCGATGTTC  2937632\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "                || | |||||| ||||||||||| |  || || || | ||| | |||\n",
+      "\n",
+      "Sbjct  2937633  TCTTTCACCCAGCGCAGCGCCGCCACTTGGTCCAAAATGCCCAGGTT  2937679\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP002385.1 Mycobacterium gilvum Spyr1, complete genome\n",
+      "\n",
+      "Length=5547747\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 73/92 (79%), Gaps = 0/92 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||| || |||||||| |  |||||| ||   || ||  | || |||  | ||||||| \n",
+      "\n",
+      "Sbjct  3257691  CCCGCCGATTCGCCGAAGACGGTGACCCTGCCGGGGTCGCCACCGAACGCCGCGATGTTG  3257750\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||| ||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  3257751  TCCCGCACCCACCGCAGCGCCGCGATCTGATC  3257782\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 56.3 bits (61),  Expect = 0.040\n",
+      "\n",
+      " Identities = 65/88 (74%), Gaps = 0/88 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |  ||||||  |   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  2849760  CCGCCGGCGGACTCGCCGAACACGGTGACCCGGCCGGGGTCGCCGCCGAAGGCGGCGATG  2849819\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGA  4857\n",
+      "\n",
+      "                || ||  ||||||| | |||||||||||\n",
+      "\n",
+      "Sbjct  2849820  TTGTCACGCACCCAGCCCAGCGCCGCGA  2849847\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 52.7 bits (57),  Expect = 0.49\n",
+      "\n",
+      " Identities = 95/133 (71%), Gaps = 11/133 (8%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6397     ACACCTCGGAGAGAAAGGTGCCGAACCAGCGGT-CCACAGGATGAAAAT-TCTCCAAAGT  6454\n",
+      "\n",
+      "                ||||||| |   | ||||||||||||  ||| | ||| | ||| |  ||  | ||  |||\n",
+      "\n",
+      "Sbjct  2848054  ACACCTCCGGCTGGAAGGTGCCGAACAGGCGATCCCAGATGATCAGGATCCCGCCGTAGT  2848113\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6455     TCTTGT-GA-----AGC--CTCC-TGTCGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGA  6505\n",
+      "\n",
+      "                |||||| ||     |||   ||| || ||||||| |||| ||||||||| || |||  ||\n",
+      "\n",
+      "Sbjct  2848114  TCTTGTCGAGATACAGCTGGTCCATGCCGTGGTGCACCCGGTGGTGCGACGGCGTGTTGA  2848173\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6506     ACACGTACTCGAA  6518\n",
+      "\n",
+      "                ||||| | |||||\n",
+      "\n",
+      "Sbjct  2848174  ACACGAATTCGAA  2848186\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">AP011115.1 Rhodococcus opacus B4 DNA, complete genome\n",
+      "\n",
+      "Length=7913450\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 88/117 (75%), Gaps = 0/117 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                || || |||||||| ||||| |  ||||| | ||  || ||  |||| |||  | |||||\n",
+      "\n",
+      "Sbjct  1054816  CCACCGGCGGACTCCCCGAACAGGGTGACGTCGGCCGGGTCGCCGCCGAACGCCGCGATG  1054875\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCG  4886\n",
+      "\n",
+      "                || ||  ||||||||  ||| ||||||||||||||   || ||| | ||||||||||\n",
+      "\n",
+      "Sbjct  1054876  TTGTCACGCACCCACGTCAGGGCCGCGATCTGATCGCGCAGGCCGACGTTCGTGTCG  1054932\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 62.6 bits (68),  Expect = 3e-04\n",
+      "\n",
+      " Identities = 82/114 (72%), Gaps = 0/114 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||  ||||| ||||| | ||| |||| |   || ||  |||| |||  ||||||||||\n",
+      "\n",
+      "Sbjct  1372927  CCCGACGACTCCCCGAACACCGTCACCTCGTCCGGGTCACCGCCGAACGACTCGATGTTC  1372986\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCG  4886\n",
+      "\n",
+      "                ||  |||||||    || ||||||| ||| |||  ||| ||  |||| || |||\n",
+      "\n",
+      "Sbjct  1372987  TCGCGCACCCATTCGAGGGCCGCGACCTGGTCACGCAAACCGCAGTTGGTCTCG  1373040\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 51.8 bits (56),  Expect = 0.49\n",
+      "\n",
+      " Identities = 133/202 (66%), Gaps = 7/202 (3%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| || ||||||||||| |  ||||| | |   || | | |||| |||     || |\n",
+      "\n",
+      "Sbjct  4862658  CCGCCGGCCGACTCGCCGAAGACGGTGACGTCGTCCGGGTTCCCGCCGAACCCGGTGACG  4862599\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCC  4889\n",
+      "\n",
+      "                || ||  | |||||  |||||||||||||||| ||   |||  | | ||| ||| | || \n",
+      "\n",
+      "Sbjct  4862598  TTGTCGCGGACCCAGTGCAGCGCCGCGATCTGGTCGCGCAATGCGATGTTGGTGACCTC-  4862540\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4890     TTCAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCA-CAGA  4948\n",
+      "\n",
+      "                     | | ||  | |||| ||| ||    || || || | |||||| |  || | ||| \n",
+      "\n",
+      "Sbjct  4862539  -----GCCGGGCAGTGCGAGGAACCCCTCCGCGCCGAGGCGGTAGTTGACCGTGACCAGG  4862485\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4949     ACGACGCCCTTGCCGACCAACG  4970\n",
+      "\n",
+      "                |||||||| | || | | ||||\n",
+      "\n",
+      "Sbjct  4862484  ACGACGCCGTCGCGGGCGAACG  4862463\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP000656.1 Mycobacterium gilvum PYR-GCK, complete genome\n",
+      "\n",
+      "Length=5619607\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 73/92 (79%), Gaps = 0/92 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                ||||| || |||||||| |  |||||| ||   || ||  | || |||  | ||||||| \n",
+      "\n",
+      "Sbjct  4042460  CCCGCCGATTCGCCGAAGACGGTGACCCTGCCGGGGTCGCCACCGAACGCCGCGATGTTG  4042519\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||| ||||||||||||||||||||||||||||\n",
+      "\n",
+      "Sbjct  4042520  TCCCGCACCCACCGCAGCGCCGCGATCTGATC  4042551\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 52.7 bits (57),  Expect = 0.49\n",
+      "\n",
+      " Identities = 95/133 (71%), Gaps = 11/133 (8%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6397     ACACCTCGGAGAGAAAGGTGCCGAACCAGCGGT-CCACAGGATGAAAAT-TCTCCAAAGT  6454\n",
+      "\n",
+      "                ||||||| |   | ||||||||||||  ||| | ||| | ||| |  ||  | ||  |||\n",
+      "\n",
+      "Sbjct  3634404  ACACCTCCGGCTGGAAGGTGCCGAACAGGCGATCCCAGATGATCAGGATCCCGCCGTAGT  3634463\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6455     TCTTGT-GA-----AGC--CTCC-TGTCGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGA  6505\n",
+      "\n",
+      "                |||||| ||     |||   ||| || ||||||| |||| ||||||||| || |||  ||\n",
+      "\n",
+      "Sbjct  3634464  TCTTGTCGAGATACAGCGGGTCCATGCCGTGGTGCACCCGGTGGTGCGAAGGAGTGTTGA  3634523\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6506     ACACGTACTCGAA  6518\n",
+      "\n",
+      "                ||||| | |||||\n",
+      "\n",
+      "Sbjct  3634524  ACACGAATTCGAA  3634536\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 51.8 bits (56),  Expect = 0.49\n",
+      "\n",
+      " Identities = 64/88 (73%), Gaps = 0/88 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |  ||||||  |   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  3636110  CCGCCGGCGGACTCGCCGAACACGGTGACCCGGCCGGGGTCGCCGCCGAAGGCGGCGATG  3636169\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGA  4857\n",
+      "\n",
+      "                || ||  ||||||| | |||||| ||||\n",
+      "\n",
+      "Sbjct  3636170  TTGTCACGCACCCAGCCCAGCGCAGCGA  3636197\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP000248.1 Novosphingobium aromaticivorans DSM 12444, complete genome\n",
+      "\n",
+      "Length=3561584\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 81.5 bits (89),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 137/197 (70%), Gaps = 10/197 (5%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                |||||||||   |||||||| |  ||||| ||||  |||||  |||| |||    ||| |\n",
+      "\n",
+      "Sbjct  1824548  CCGCCCGCGCTTTCGCCGAAGACGGTGACGTTGGCCGGATCGCCGCCGAACGCGGCGACG  1824489\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCG--T  4887\n",
+      "\n",
+      "                ||  |||| |||||   ||||||||||||||| || |  ||||| |||||   | ||   \n",
+      "\n",
+      "Sbjct  1824488  TTGGCCTGGACCCATTTCAGCGCCGCGATCTGGTCGAGGAAGCCGAAGTTGCCGCCGAAG  1824429\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4888     CCTT-------CAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAG  4940\n",
+      "\n",
+      "                ||||       |||| | || || || ||||| |||| |   || || | |||||| | |\n",
+      "\n",
+      "Sbjct  1824428  CCTTCTGCCGCCAGGCCCGGGTGGGCAAAGAAGCCGAAGCGGCCGAGGCGGTAGTTCAGG  1824369\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4941     GTCAC-AGAACGACGCC  4956\n",
+      "\n",
+      "                 | || |||||||||||\n",
+      "\n",
+      "Sbjct  1824368  CTGACGAGAACGACGCC  1824352\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 62.6 bits (68),  Expect = 3e-04\n",
+      "\n",
+      " Identities = 88/122 (72%), Gaps = 4/122 (3%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6470     TGTCGTGGTGAACCCTGTGGTGCGAGGGGGTGGAGAACACGTACTCGAACCAGTCCGGCG  6529\n",
+      "\n",
+      "                || ||||||| || | ||||||||| ||||||  ||||||   ||||||||||  |||| \n",
+      "\n",
+      "Sbjct  3355279  TGGCGTGGTGGACGCGGTGGTGCGACGGGGTGTTGAACACCGCCTCGAACCAGCGCGGCA  3355220\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6530     TTCTCCTCACCAAGCAAGTGTGCA-CCAGAACTGGTAGATCAGGTTCCACTCGCGGCCCA  6588\n",
+      "\n",
+      "                  | ||  |||      || || | |||||||||||||| ||| ||   | ||| |||||\n",
+      "\n",
+      "Sbjct  3355219  AGCGCCCGACCGCTTCGGTATGGATCCAGAACTGGTAGACCAGATT---CACGCCGCCCA  3355163\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  6589     CC  6590\n",
+      "\n",
+      "                ||\n",
+      "\n",
+      "Sbjct  3355162  CC  3355161\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 53.6 bits (58),  Expect = 0.14\n",
+      "\n",
+      " Identities = 74/104 (71%), Gaps = 0/104 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||| || |||| |||||  || || || ||    |||||  |||| || | | ||||||\n",
+      "\n",
+      "Sbjct  1642062  CGCCTGCCGACTGGCCGACGATGGTCACGTTCTCCGGATCGCCGCCGAATTTCGCGATGT  1642121\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCA  4874\n",
+      "\n",
+      "                |   ||  |||||   ||||||||||||||| || | || ||||\n",
+      "\n",
+      "Sbjct  1642122  TGCGCTTGACCCATTCCAGCGCCGCGATCTGGTCCATCAGGCCA  1642165\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP038030.1 Rhodococcus ruber strain R1 chromosome, complete genome\n",
+      "\n",
+      "Length=5352783\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 80/104 (77%), Gaps = 0/104 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770    CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "               ||||| || ||||||||||| | ||| || |||   || ||  |||| |||  |  ||||\n",
+      "\n",
+      "Sbjct  915159  CCGCCGGCCGACTCGCCGAACACCGTCACGTTGCCGGGGTCGCCGCCGAACGCCCGGATG  915100\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830    TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "               || ||||||||||| |||||||| |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  915099  TTGTCCTGCACCCAGCGCAGCGCGGCGATCTGGTCGAGCAGGCC  915056\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 68/95 (72%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |||||||  |||   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  1169647  CCGCCGGCGGACTCGCCGAAGATCGTGATGTTGTCGGGGTCGCCGCCGAAGGCGGCGATG  1169706\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||     ||||||||  |||||| || | ||| ||\n",
+      "\n",
+      "Sbjct  1169707  TTGCGGCGCACCCACGCCAGCGCGGCAACCTGGTC  1169741\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP023714.1 Rhodococcus ruber strain YC-YT1 chromosome, complete genome\n",
+      "\n",
+      "Length=5669852\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 80/104 (77%), Gaps = 0/104 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| || ||||||||||| | ||| || |||   || ||  |||| |||  |  ||||\n",
+      "\n",
+      "Sbjct  1210700  CCGCCGGCCGACTCGCCGAACACCGTCACGTTGCCGGGGTCGCCGCCGAACGCCCGGATG  1210641\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                || ||||||||||| |||||||| |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  1210640  TTGTCCTGCACCCAGCGCAGCGCGGCGATCTGGTCGAGCAGGCC  1210597\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 68/95 (72%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |||||||  |||   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  1465159  CCGCCGGCGGACTCGCCGAAGATCGTGATGTTGTCGGGGTCGCCGCCGAAGGCGGCGATG  1465218\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||     ||||||||  |||||| || | ||| ||\n",
+      "\n",
+      "Sbjct  1465219  TTGCGGCGCACCCACGCCAGCGCGGCAACCTGGTC  1465253\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP027108.1 Cronobacter sakazakii strain CS-931 plasmid pCsaCS931a, complete \n",
+      "\n",
+      "sequence\n",
+      "\n",
+      "Length=4194432\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 83/109 (76%), Gaps = 0/109 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||||||||| || ||||| | |||||| |||    | ||  |||||||     ||||||\n",
+      "\n",
+      "Sbjct  3305243  CGCCCGCGGATTCCCCGAATAACGTGACATTGTCACGGTCTCCGCCAAAAGCAGCGATGT  3305184\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "                | ||||||||||| |||||||| ||||| ||||| | ||   |||||||\n",
+      "\n",
+      "Sbjct  3305183  TTTCCTGCACCCAGCGCAGCGCGGCGATTTGATCGAGCAGCGCAAAGTT  3305135\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP027107.1 Cronobacter sakazakii strain CS-931 chromosome, complete genome\n",
+      "\n",
+      "Length=4267279\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 83/109 (76%), Gaps = 0/109 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||||||||| || ||||| | |||||| |||    | ||  |||||||     ||||||\n",
+      "\n",
+      "Sbjct  3305211  CGCCCGCGGATTCCCCGAATAACGTGACATTGTCACGGTCTCCGCCAAAAGCAGCGATGT  3305152\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "                | ||||||||||| |||||||| ||||| ||||| | ||   |||||||\n",
+      "\n",
+      "Sbjct  3305151  TTTCCTGCACCCAGCGCAGCGCGGCGATTTGATCGAGCAGCGCAAAGTT  3305103\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP031264.1 Streptacidiphilus sp. DSM 106435 chromosome, complete genome\n",
+      "\n",
+      "Length=7090212\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase/lipase family protein\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 83/109 (76%), Gaps = 0/109 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771     CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "                |||| |||||||||||||| | |||||| |||   || ||  |||| ||   | ||||||\n",
+      "\n",
+      "Sbjct  6326236  CGCCTGCGGACTCGCCGAAGAGCGTGACGTTGTCCGGGTCGCCGCCGAAGGCCGCGATGT  6326295\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831     TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "                ||||| | ||||| ||||| || |||||||| || | || ||| | |||\n",
+      "\n",
+      "Sbjct  6326296  TCTCCCGGACCCATCGCAGGGCGGCGATCTGGTCGAGCAGGCCGAGGTT  6326344\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP029146.1 Rhodococcus ruber strain SD3 chromosome, complete genome\n",
+      "\n",
+      "Length=5366612\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 80/104 (77%), Gaps = 0/104 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770    CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "               ||||| || ||||||||||| | ||| || |||   || ||  |||| |||  |  ||||\n",
+      "\n",
+      "Sbjct  912049  CCGCCGGCCGACTCGCCGAACACCGTCACGTTGCCGGGGTCGCCGCCGAACGCCCGGATG  911990\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830    TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "               || ||||||||||| |||||||| |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  911989  TTGTCCTGCACCCAGCGCAGCGCGGCGATCTGGTCGAGCAGGCC  911946\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase/lipase family protein\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 68/95 (72%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |||||||  |||   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  1164883  CCGCCGGCGGACTCGCCGAAGATCGTGATGTTGTCGGGGTCGCCGCCGAAGGCGGCGATG  1164942\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||     ||||||||  |||||| || | ||| ||\n",
+      "\n",
+      "Sbjct  1164943  TTGCGGCGCACCCACGCCAGCGCGGCAACCTGGTC  1164977\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP024890.1 Rhodococcus ruber strain YYL chromosome, complete genome\n",
+      "\n",
+      "Length=5592192\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 80/104 (77%), Gaps = 0/104 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| || ||||||||||| | ||| || |||   || ||  |||| |||  |  ||||\n",
+      "\n",
+      "Sbjct  1786819  CCGCCGGCCGACTCGCCGAACACCGTCACGTTGCCGGGGTCGCCGCCGAACGCCCGGATG  1786878\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                || ||||||||||| |||||||| |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  1786879  TTGTCCTGCACCCAGCGCAGCGCGGCGATCTGGTCGAGCAGGCC  1786922\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 68/95 (72%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |||||||  |||   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  1474397  CCGCCGGCGGACTCGCCGAAGATCGTGATGTTGTCGGGGTCGCCGCCGAAGGCGGCGATG  1474338\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||     ||||||||  |||||| || | ||| ||\n",
+      "\n",
+      "Sbjct  1474337  TTGCGGCGCACCCACGCCAGCGCGGCAACCTGGTC  1474303\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">CP024315.1 Rhodococcus ruber strain P14 chromosome, complete genome\n",
+      "\n",
+      "Length=5522075\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 80/104 (77%), Gaps = 0/104 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| || ||||||||||| | ||| || |||   || ||  |||| |||  |  ||||\n",
+      "\n",
+      "Sbjct  4524678  CCGCCGGCCGACTCGCCGAACACCGTCACGTTGCCGGGGTCGCCGCCGAACGCCCGGATG  4524619\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCC  4873\n",
+      "\n",
+      "                || ||||||||||| |||||||| |||||||| || | || |||\n",
+      "\n",
+      "Sbjct  4524618  TTGTCCTGCACCCAGCGCAGCGCGGCGATCTGGTCGAGCAGGCC  4524575\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Features in this part of subject sequence:\n",
+      "\n",
+      "   carboxylesterase/lipase family protein\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 68/95 (72%), Gaps = 0/95 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                ||||| |||||||||||||| |||||||  |||   || ||  |||| ||     |||||\n",
+      "\n",
+      "Sbjct  4776688  CCGCCGGCGGACTCGCCGAAGATCGTGATGTTGTCGGGGTCGCCGCCGAAGGCGGCGATG  4776747\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                ||     ||||||||  |||||| || | ||| ||\n",
+      "\n",
+      "Sbjct  4776748  TTGCGGCGCACCCACGCCAGCGCGGCAACCTGGTC  4776782\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">XM_018420176.1 Cutaneotrichosporon oleaginosus alpha/beta-hydrolase partial \n",
+      "\n",
+      "mRNA\n",
+      "\n",
+      "Length=1581\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 83/109 (76%), Gaps = 0/109 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771  CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "             |||| ||||||||||| || ||||||||||||||||| ||  |||||||   | ||||||\n",
+      "\n",
+      "Sbjct  544   CGCCGGCGGACTCGCCAAAGATCGTGACCTTGGATGGGTCGCCGCCAAAGCCCGCGATGT  485\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831  TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "             | || | ||||||  |||| ||    | |||||||  || ||| | |||\n",
+      "\n",
+      "Sbjct  484   TGTCTTTCACCCATTGCAGAGCTAAAAGCTGATCACGCATGCCGAGGTT  436\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      ">CP007155.1 Kutzneria albida DSM 43870, complete genome\n",
+      "\n",
+      "Length=9874926\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 83/109 (76%), Gaps = 0/109 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4771    CGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGT  4830\n",
+      "\n",
+      "               ||||||| |||| ||||   | ||||| |      || ||| |||| |||| | ||||||\n",
+      "\n",
+      "Sbjct  522652  CGCCCGCCGACTGGCCGCCGACCGTGATCGCCCCCGGGTCCCCGCCGAACTCCGCGATGT  522711\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4831    TCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTT  4879\n",
+      "\n",
+      "               |||| |||||||| ||||||||||||||||| || | ||  || |||||\n",
+      "\n",
+      "Sbjct  522712  TCTCGTGCACCCAGCGCAGCGCCGCGATCTGGTCCAGCAGCCCGAAGTT  522760\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 70.7 bits (77),  Expect = 2e-06\n",
+      "\n",
+      " Identities = 67/86 (78%), Gaps = 0/86 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                || ||| ||||||||||||| | |||||| |||   || ||| |||| ||   | |||||\n",
+      "\n",
+      "Sbjct  4939282  CCACCCCCGGACTCGCCGAACACCGTGACGTTGCGCGGGTCCCCGCCGAAACCCGCGATG  4939223\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGC  4855\n",
+      "\n",
+      "                || | | ||||||| |||||||||||\n",
+      "\n",
+      "Sbjct  4939222  TTGTGCCGCACCCAGCGCAGCGCCGC  4939197\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 62.6 bits (68),  Expect = 3e-04\n",
+      "\n",
+      " Identities = 73/98 (74%), Gaps = 2/98 (2%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4769     ACCGCCC--GCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCG  4826\n",
+      "\n",
+      "                |||||||  |||||||||||||| |  ||||  |||   || ||| |||| |||    ||\n",
+      "\n",
+      "Sbjct  6729342  ACCGCCCCGGCGGACTCGCCGAACACGGTGAGGTTGTCCGGGTCCCCGCCGAACGCGGCG  6729401\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4827     ATGTTCTCCTGCACCCACCGCAGCGCCGCGATCTGATC  4864\n",
+      "\n",
+      "                  ||| ||| ||||||| ||||| || |||||||| ||\n",
+      "\n",
+      "Sbjct  6729402  GCGTTGTCCCGCACCCAGCGCAGGGCGGCGATCTGGTC  6729439\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 57.2 bits (62),  Expect = 0.012\n",
+      "\n",
+      " Identities = 118/176 (67%), Gaps = 0/176 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770     CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "                || || || || || ||||| | |||||| |  || |||||  |||| ||   | ||  |\n",
+      "\n",
+      "Sbjct  4184698  CCACCGGCCGATTCCCCGAACACCGTGACGTCCGAGGGATCGCCGCCGAAGGCCGCGGCG  4184757\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830     TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTCC  4889\n",
+      "\n",
+      "                ||  || |||||||||||||||| ||   ||| ||   |||||| ||| |   |  ||| \n",
+      "\n",
+      "Sbjct  4184758  TTGGCCCGCACCCACCGCAGCGCGGCCTGCTGGTCCTGCAAGCCGAAGGTGCCGGAGTCG  4184817\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4890     TTCAGGTCAGGATGAGCGAAGAATCCGAGGGCACCTAGCCTGTAGTTAAAGGTCAC  4945\n",
+      "\n",
+      "                  |||  | || |   ||||||| ||||   | || |||| |||||| |  |||||\n",
+      "\n",
+      "Sbjct  4184818  GGCAGCCCCGGGTAGCCGAAGAAGCCGAACACGCCGAGCCGGTAGTTGATCGTCAC  4184873\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 50.9 bits (55),  Expect = 1.7\n",
+      "\n",
+      " Identities = 62/85 (73%), Gaps = 0/85 (0%)\n",
+      "\n",
+      " Strand=Plus/Plus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4773     CCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATGTTC  4832\n",
+      "\n",
+      "                || || |||| |||||| |  ||||| |||   |||||  |||| ||     ||||||||\n",
+      "\n",
+      "Sbjct  4622409  CCGGCCGACTGGCCGAAGAGGGTGACGTTGTGCGGATCACCGCCGAAGGCGGCGATGTTC  4622468\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4833     TCCTGCACCCACCGCAGCGCCGCGA  4857\n",
+      "\n",
+      "                ||||| |||||  ||| ||| ||||\n",
+      "\n",
+      "Sbjct  4622469  TCCTGGACCCAGTGCAACGCGGCGA  4622493\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      ">KC904273.1 Uncultured bacterium clone BSXG2 esterase gene, complete cds\n",
+      "\n",
+      "Length=1506\n",
+      "\n",
+      "\n",
+      "\n",
+      " Score = 80.6 bits (88),  Expect = 1e-09\n",
+      "\n",
+      " Identities = 89/119 (75%), Gaps = 0/119 (0%)\n",
+      "\n",
+      " Strand=Plus/Minus\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4770  CCGCCCGCGGACTCGCCGAAAATCGTGACCTTGGATGGATCCGCGCCAAACTGCTCGATG  4829\n",
+      "\n",
+      "             |||||||| ||||||||||| |||||||| || |  |||||  |||| ||   | |||||\n",
+      "\n",
+      "Sbjct  584   CCGCCCGCCGACTCGCCGAAGATCGTGACGTTCGCCGGATCGCCGCCGAAGGCCGCGATG  525\n",
+      "\n",
+      "\n",
+      "\n",
+      "Query  4830  TTCTCCTGCACCCACCGCAGCGCCGCGATCTGATCAAACAAGCCAAAGTTCGTGTCGTC  4888\n",
+      "\n",
+      "             || ||  |||||||    ||||| |||| |||||| | || |||   ||||| | ||||\n",
+      "\n",
+      "Sbjct  524   TTGTCGCGCACCCATGCGAGCGCGGCGACCTGATCGAGCACGCCCGCGTTCGCGGCGTC  466\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "  Database: Nucleotide collection (nt)\n",
+      "\n",
+      "    Posted date:  Oct 20, 2019  5:38 AM\n",
+      "\n",
+      "  Number of letters in database: 256,848,598,563\n",
+      "\n",
+      "  Number of sequences in database:  56,840,973\n",
+      "\n",
+      "\n",
+      "\n",
+      "Lambda      K        H\n",
+      "\n",
+      "   0.634    0.408    0.912 \n",
+      "\n",
+      "Gapped\n",
+      "\n",
+      "Lambda      K        H\n",
+      "\n",
+      "   0.625    0.410    0.780 \n",
+      "\n",
+      "Matrix: blastn matrix:2 -3\n",
+      "\n",
+      "Gap Penalties: Existence: 5, Extension: 2\n",
+      "\n",
+      "Number of Sequences: 56840973\n",
+      "\n",
+      "Number of Hits to DB: 28879990\n",
+      "\n",
+      "Number of extensions: 373035\n",
+      "\n",
+      "Number of successful extensions: 373035\n",
+      "\n",
+      "Number of sequences better than 10: 62\n",
+      "\n",
+      "Number of HSP's better than 10 without gapping: 0\n",
+      "\n",
+      "Number of HSP's gapped: 373034\n",
+      "\n",
+      "Number of HSP's successfully gapped: 65\n",
+      "\n",
+      "Length of query: 7529\n",
+      "\n",
+      "Length of database: 256848598563\n",
+      "\n",
+      "Length adjustment: 41\n",
+      "\n",
+      "Effective length of query: 7488\n",
+      "\n",
+      "Effective length of database: 254518118670\n",
+      "\n",
+      "Effective search space: 1905831672600960\n",
+      "\n",
+      "Effective search space used: 1905831672600960\n",
+      "\n",
+      "A: 0\n",
+      "\n",
+      "X1: 22 (20.1 bits)\n",
+      "\n",
+      "X2: 33 (29.8 bits)\n",
+      "\n",
+      "X3: 110 (99.2 bits)\n",
+      "\n",
+      "S1: 28 (26.5 bits)\n",
+      "\n",
+      "S2: 52 (48.2 bits)\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "## BLAST to figure out species\n",
+    "with open(\"my_blast.txt\", \"w\") as save_to:\n",
+    "    save_to.write(result_handle.read())\n",
+    "    result_handle.close()\n",
+    "myfile = open(\"my_blast.txt\")\n",
+    "for line in myfile:\n",
+    "    print(line)\n",
+    "myfile.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What is the GC content of your species? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SeqRecord' object has no attribute 'count'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m## Answer\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mBio\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSeqUtils\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mGC\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mGC\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\Bio\\SeqUtils\\__init__.py\u001b[0m in \u001b[0;36mGC\u001b[1;34m(seq)\u001b[0m\n\u001b[0;32m     39\u001b[0m     \u001b[0mNote\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mthis\u001b[0m \u001b[0mwill\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mzero\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0man\u001b[0m \u001b[0mempty\u001b[0m \u001b[0msequence\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m     \"\"\"\n\u001b[1;32m---> 41\u001b[1;33m     \u001b[0mgc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mseq\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'G'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'C'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'g'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'c'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'S'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m's'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     42\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     43\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mgc\u001b[0m \u001b[1;33m*\u001b[0m \u001b[1;36m100.0\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mseq\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\Bio\\SeqUtils\\__init__.py\u001b[0m in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m     39\u001b[0m     \u001b[0mNote\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mthis\u001b[0m \u001b[0mwill\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mzero\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0man\u001b[0m \u001b[0mempty\u001b[0m \u001b[0msequence\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m     \"\"\"\n\u001b[1;32m---> 41\u001b[1;33m     \u001b[0mgc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mseq\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'G'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'C'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'g'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'c'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'S'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m's'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     42\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     43\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mgc\u001b[0m \u001b[1;33m*\u001b[0m \u001b[1;36m100.0\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mseq\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mAttributeError\u001b[0m: 'SeqRecord' object has no attribute 'count'"
+     ]
+    }
+   ],
+   "source": [
+    "## Answer\n",
+    "from Bio.SeqUtils import GC\n",
+    "GC(query)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How many contigs are in your assembly? Do you think this is a good assembly? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Answer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What species did you sequence? Does it match 100% If not, why do you think that is? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Answer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**BONUS:** Make a histogram of the distribution of contig lengths in the assembly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Answer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## BONUS 2x: Assembing genomes using Canu\n",
+    "Wtdgb2 is lousy at assembling most plant genomes (in my experience). This may be due to the assembly approach (fuzzy de Brujin graph vs consensus overlap) or some other factor. The program that consistently provides the highest quality assemblies is Canu. I have installed Canu on hpcc under `/mnt/research/HRT891_f19/bin/canu-1.8/` and it is run similarly to wtdgb2. Canu is more CPU and memory intensive though, so it can't be run quickly on a developmental node. \n",
+    "
Instead, we must submit the job to the queue via the Slurm workload manager. An example submission script can be found under: `/mnt/research/HRT891_f19/Week_1_Genome_assembly/Canu_scripts/Canu_example.sb`\n", + "
\n", + "We need to provide the following information: \n", + "
\n", + "
\n", + "`-d` Sets the directory to output assembly files. Canu generates A LOT of intermediate files, so if you don't have a lot of space, it's probably best to output it in `/scratch`\n", + "
\n", + "
\n", + "`-p` Sets the file output names. Ideally this inlclude be the species name and some other identifiers. \n", + "
\n", + "
\n", + "`genomesize=` Sets the genome size in megabases (m) or gigabases (g). For example, a 1Gb genome could be set as 1000m or 1g\n", + "
\n", + "
\n", + "`-pacbio-raw` Specifies the type of data (raw or polished, nanopore or PacBio) and sets the path to the data for assembly. \n", + "
\n", + "
\n", + "**Note: There is an art to submitting jobs on HPCC and having them start quickly. I would recommnd changing the number of CPUs or nodes as well as memory requirements to try and get the job to run more quickly. \n", + "\n", + "
\n", + "We will discuss the outputs from Canu on the next class period (Monday) and visualize the assembly quality using graphs like the one below! Note, this assembly graph is from a complex allo-octaploid species (8 copies of the genome), so it is quite complex!" + ] + }, + { + "attachments": { + "Capture4.PNG": { + "image/png": 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" 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Untitled-1.jpg](attachment:Untitled-1.jpg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Genome visualization and comparative genomics" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we've assembled a reference genome, we need to parse out the biologically meaningful sequences. These include genes, small RNAs, regulatory elements (i.e. promoters, enhancers, conserved non-coding sequences), repetitive elements, and structural repeats (e.g. centromere satelites, telomeres). **Annotation** refers to the identification of these biologically relevent sequences. Genomes are generally poorly annotated, and we have still haven't correctly identified all of the genes and important sequences in even the most heavily researched species like humans, fruit flies, and Arabidopsis. Genome annotations are constantly changing, and the addition and subtraction of genes between genomes is HUGELY frustrating. We could spend a whole course on genome annotation, but this is probably beyond the interest of everyone in class!
\n", + "The most widely tool to run genome annotation is the MAKER pipeline. If you are interested in MAKER, Kevin Childs (in Plant Biology at MSU) is one of the developers and they put together a nice tutorial for running MAKER on HPCC: \n", + "http://bioinformatics.plantbiology.msu.edu/display/BIOIN/MAKER\n", + "
\n", + "Repetitive elements vary wildly between species but genes tend to be pretty highly conserved in both content and order along chromosomes. Still, new genes arise all the time via gene or genome duplication and differences in gene content usually drive the evolution of new traits between species. In this notebook, we will explore the evolution of genome architecture across species. We will also introduce the concept of phlylogenetics and compare gene content differences across diverse plant lineages. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "___" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " # Visualizing and formatting genome features" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A genome is simply a combination of A T C and Gs. You can technically open up a genome fasta file in a text editor or terminal, but humans are generally unable to identify meaningful sequences by eye alone. We can utilize genome browsers to move around the genome and view various 'tracks' of biological features (genes, repeats, variants, etc.). Genome annotation features can be stored in various tab or comma delineated formats but there are two you are likely to encounter (gff3 and BED). If you are unlikely to encounter these in your research, please feel free to skip ahead! " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The **BED** format consists of one line per feature, each containing 3-12 columns of data, plus optional track definition lines.\n", + "
\n", + "The first three fields in each feature line are required:\n", + "
\n", + "1. `chrom` - name of the chromosome or scaffold. Any valid seq_region_name can be used, and chromosome names can be given with or without the 'chr' prefix.\n", + "2. `chromStart` - Start position of the feature in standard chromosomal coordinates (i.e. first base is 0).\n", + "3. `chromEnd` - End position of the feature in standard chromosomal coordinates\n", + "
\n", + "Here is an example of the simples bed file:\n", + "\n", + " chr1 213941196 213942363\n", + " chr1 213942363 213943530\n", + " chr1 213943530 213944697\n", + " chr2 158364697 158365864\n", + " chr2 158365864 158367031\n", + " chr3 127477031 127478198\n", + " chr3 127478198 127479365\n", + " chr3 127479365 127480532\n", + " chr3 127480532 127481699\n", + "\n", + "\n", + "The **GFF** (General Feature Format) format consists of one line per feature, each containing 9 columns of data, plus optional track definition lines. \n", + "
\n", + "Nine fields are required for each feature:\n", + "1. `seqid` - name of the chromosome or scaffold; chromosome names can be given with or without the 'chr' prefix. Important note: the seq ID must be one used within Ensembl, i.e. a standard chromosome name or an Ensembl identifier such as a scaffold ID, without any additional content such as species or assembly. See the example GFF output below.\n", + "2. `source` - name of the program that generated this feature, or the data source (database or project name)\n", + "3. `type` - type of feature. Must be a term or accession from the SOFA sequence ontology\n", + "4. `start` - Start position of the feature, with sequence numbering starting at 1.\n", + "5. `end` - End position of the feature, with sequence numbering starting at 1.\n", + "6. `score` - A floating point value.\n", + "7. `strand` - defined as + (forward) or - (reverse).\n", + "9. `phase` - One of '0', '1' or '2'. '0' indicates that the first base of the feature is the first base of a codon, '1' that the second base is the first base of a codon, and so on..\n", + "9. `attributes` - A semicolon-separated list of tag-value pairs, providing additional information about each feature. Some of these tags are predefined, e.g. ID, Name, Alias, Parent - see the GFF documentation for more details.\n", + "\n", + "Here is an example of a gff file:\n", + "\n", + " ##gff-version 3\n", + " ctg123 . mRNA 1300 9000 . + . ID=mrna0001;Name=sonichedgehog\n", + " ctg123 . exon 1300 1500 . + . ID=exon00001;Parent=mrna0001\n", + " ctg123 . exon 1050 1500 . + . ID=exon00002;Parent=mrna0001\n", + " ctg123 . exon 3000 3902 . + . ID=exon00003;Parent=mrna0001\n", + " ctg123 . exon 5000 5500 . + . ID=exon00004;Parent=mrna0001\n", + " ctg123 . exon 7000 9000 . + . ID=exon00005;Parent=mrna0001\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A genome browser is a useful way to scroll through biologically meaningful regions within a genome. There are many examples with nice GUIs, but here is one from maize: \n", + "
\n", + "https://www.maizegdb.org/gbrowse/maize_v4\n", + "
\n", + "Notice, how many layers can be stacked together!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "___" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Comparative Genomics" + ] + }, + { + "attachments": { + "Capture9.PNG": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plant genomes are generally collinear, with similar gene content and gene order along their chromosomes, and most conserved genes have the same function across species. We can use this property to infer the function of a new gene from a non-model species based on molecular and genetic characterization of that same gene in a model species. We can also compare two genomes and identify differences between them that might be driving unique or important traits such as stress tolerance, disease resistance, yield, taste, and metabolite biosynthesis (among many others). Some genes can have hundreds of copies across the genome, and we can use their relative position to infer which genes are orthologous and have (likely) conserved function and which genes are not orthologous. **Synteny** refers to the physical co-localization of gene blocks in corresponding chromosome regions between two species. Below is an example from several grass genomes: \n", + "
\n", + "![nature15714-f3.jpg](attachment:nature15714-f3.jpg)\n", + "
\n", + "Here, individual genes are shown in blue and green (for forward and reverse orientation) and syntenic gene pairs (i.e. conserved genes) are connected by gray lines. Notice how most genes in the grass genomes are conserved, but each species has its own unique genes not shared by others. Some of these species-specific genes are real, but others are probably not. Again, biology is inherently sloppy, and we have trouble figuring out which genes are real and which aren't. Some sequences _look like genes_ but aren't and others look like random garbage but are actually functional. Also, dead genes can come back to life. Also, also, 'real' is relative here. \n", + "
\n", + "We can identify syntenic orthologs by aligning the genes from one species to another using BLAST or lastal, and filtering the output to only genes that are found in similarly ordered blocks along a chromosome. My favorite tool to do these analyses is MCscan:\n", + "https://github.com/tanghaibao/jcvi/wiki/MCscan-(Python-version)\n", + "
\n", + "The python version of MCsan is tricky to run in HPCC (because of a LaTeX issue of all things), but we can implement MCscan in CoGe: \n", + "
\n", + "https://genomevolution.org/coge/SynMap.pl\n", + "
\n", + "Here, we can compare any two genomes and identify macro and microsyntenic differences. Genomes that are closer together phylogenetically typically produce better results, but you can compare the genomes of any two plant species and get reasonably good synteny patterns! Good examples would include sorghum vs maize (_Sorghum bicolor_ id331 vs _Zea mays_ id333), strawberry vs raspberry (_Fragaria vesca_ id34820 vs _Rubus occidentalis_ id39823), and broccoli vs cabbage (_Brassica oleracea_ id39933 vs _Brassica rapa_ id40947). You could also get a little crazy and compare pineapple vs Asparagus, orange vs bamboo, or pepper vs rice. You can also compare two different versions of the same genome to look for differences/improvements. It's best to compare well assembled, chromosome scale genomes to get better results. Genomes with ~10,000 contigs are heavily fragmented and not pretty to look at. \n", + "![Capture9.PNG](attachment:Capture9.PNG)\n", + "
\n", + "After you've chosen your species, hit Generate `SynMap`\n", + "
\n", + "You can scroll around the syntenic dotplot and zoom in on certain regions of interest. Once you've found a region of interest, you can compare gene level differences like so: \n", + "![Capturet4y.JPG](attachment:Capturet4y.JPG)\n", + "Here, conserved sequences between species are shown by red connections. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Which two species did you decide to compare? How similar are their genomes? " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "##Answer\n", + "##\n", + "##" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Orthology and Gene Family Analysis" + ] + }, + { + "attachments": { + "Capture11.JPG": { + "image/jpeg": 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oe/pmpfDnxK1qZfE2i+JrC2tvEWgWclz+5yYZ1VMhsZzjlT15DdqAPT6K830D4h6tqvwSvfGFxb2a6hbw3EiRIjCImMnGQWJ7c81lax8WNb034L6L4wjtLBr6+uhFNE0b+UFzJ90b8g/IOpPegD12ivHNa+IPj7wbcafrnizTdMXw/fyrG9tbMzT2oIyNxOMtjPTIOMcU7xh8TNe/4WHP4V8N32h6OtvCkpvdYcqs5ZQ21TyOjDtzg80Aew0VzHgTVfEmq6NI/i2wtLa5jk2xzWUyyRXCf3hhjjp39e3QdPQAUUUUAFFFFAEVzcwWdtJcXc0cEESlnllYKqgdyT0rlrb4qeB7u+W0g8SWRmZtq7nKqT/vEY/WuE+Nk9xrXjXwj4NM7w6fqNwr3QU48wFwo/Ibse5q34+0D4S6LpSaBrcVpodzLDvt7i3tHMygHG7eqktyOjGgD14EEAg5B6GivKL74hab4J+Euky+E7qTxAZpPsOny3gK7yCeX4U4XGO3bnvTNJ8e+LdB8Y6Rovjv+yLuDWmKW9zpshJhk4wjDvyQOnfqcUAetUV5NcfEDxrqvxJ17wf4YsdJ32Sh4bu68xREmFyXwTuOWAAAHvmrHgT4maneaT4qXxlb28d54XYi4e2GFlA354J65jPTrkcUAeo0V4WPil4+Xw7/AMJq9roZ0Ev/AMg0St9pEe/buz657/jtxXtOlalBrGj2epWmfIu4Umj3ddrDIz+dAHPz/E/wVbXEkE/iSxjliYo6GTlWBwRVzRvHPhnxDf8A2LRdatb252F/KifJ2jqa8x+PXhLw/pXw/k1LTdHs7a9kvo99xFEFdt24nJ9zW1q1vpfw5+Fy+LPDOhaZFq0VpAPNeD728oGztIPOc9aAPU6K8j8PfEHxo+iXHjDxVp+n2vhpdNM8SQH95JKMBQMsSNxJxnOBj6nI/wCFo+PNP0K38Y6lbaJLoNw67tPhkP2mKNjgNnPXp69eg7AHudFeWeLPiXqtx4n03wz4DWxF5e2i3kl9qBIjhjYbl4HfH16jipPC/wATdTP/AAkml+K7S1fV/D9o12W09yY7qNVzleuDyv8A310GMUAen0V4VoHxK+IPiOKPVdHn8LXayS7Ton2jy7lVzjPzEduc5P07V7jbySS2sUk0RhkdAzxEglCRyuRwcdOKAJKCQASeAOporD8a6Zfaz4I1fTtJk8u8ubR44Tu25JHTPbPTPvQBnTfFPwRBqBs5fEtiJlbacPlQf94fL+tdXFLHPEssLrJG4DK6HIYeoNfLGj634U0Pw4/hT4h+BpbG72vG2qR24+0BiTh/mAPGR0JBx0r0u+8UxfDv4F6dqPge9j1m1WdYoJdQUt8jMxKkKVIIPGO1AHr1FeMaz8RfH/hm10/xTrmmaWPDt86KbOBmNxCrjILMcDdj6jtgVr+MfiPqzeKtP8LeBlsftt5bC6kvr9iIoYyMjgd8D36jigD1CivNfBvxIv5b7XdF8ax2cWo6Hbm6kuLFi0U0IGSw+gK/n0GKw9M8afFLxVpL+KPDOmaQNJEjLBp8pYzzqGwTnIGevdenQ9wD1TVPEWkaLdWdtqt/DazXzlLZJGwZWyBgfiw/OtKvIviF4ouLXV/AJ1Lw3pxu9RuCJY7+PzpLN90QPlsrAA5PXnoKfrXxB8Ua5461Hw54DOlWqaSP9Ju9TYgSP3Rce+R07dRQB61RXlFj8YrmX4Ya7rd1p8P9s6HMLa4tY2JjLs4RXB67ck9/4TzVLwp42+IGq3un3cc3hrXrC8YGe00+5CT2iHk5DEYI9Pm6fjQB7JRRRQAVT1XVrDQ9Nk1DV7qO0tIsb5pThVyQB+pAq5Xnnx3/AOSN6x/vQf8Ao5KANdPil4HkkCL4n04EnA3TAD8zXUW9xDdW6T2sqTQyKGSSNgysD0II4Ir5th8TfCZ/h9b6e+hC51w6ckLeTZESPceWASH/AN/nP866jwtr2q/Cn4Ax3+u2sj3cl0y2NnOSpQPyobuBw7Y98cUAe3UV47bfEPxn4Z1rRx45TRrjTtZmWEHT3PmWbt0Dc4xzz16HmtPxD438U6v8QLrwd8PotPjnsIRLeXt/uKqSAdoA/wB4Doec9MUAen0V59p3jXxHong7WdT+IeipZy6UDsltXHl3nOBtGSQSccnj5s8dK5U+O/ifH4XHjh9N0c6EVEv9njf54hz9/P05znpztoA9roryTxf8X9Q0+08HXvhawtruDxDv3Q3QYOCGjGxWDAA5YjJBHFNtvHnjbw/8T9L8PeNYNKlt9Zx5JsN/7kkkAZbryOcjvwaAPXap6pq1jomnSX+rXUdpaxY3yyHCrk4H6mvN9W8ceLPEfjzUvC/w7j02IaSv+l3t/uIL5wVUDOOcjoeh6VF4h8T+JYvg/rN3418MWC31nKiCK4XzLa6XeBu2h9wx7n0PsAD0C58XaBZxabLdarbxJqgBsmZuJ84xt9fvL+dbNfPfxDuhfWPwkuhbw2wmMUnk26lY48+Qdqgk4A6AZrr/ABN8QfEWofEC58IeBTpltNYwiW7vdTYhAePlXH+8B0POemM0Aeq1W1HUrPSNPlvtTuEtrWEbpJZDhVGcc15x4c+LUk/hPxJc+IrSGPVfDeVuYrZ/3cx5ClSc4ywx39e+K4vxN4i+IviD4R6lrmrWWkjQdRiG2CIss8CbxtcZ4IPHU574FAHven6haarp8N9p06XFrOu6OVDlXHqKs1x/wm/5JN4e/wCvQf8AoRrsKACiiigCC9vbXTrOS71C4itreIbpJZnCKo9yeBXOaf8AE7wXqmoLZWXiKye4dtqKzldx9ASACa89+L7yeJfin4T8ETyyR6dcYubkI2PMyzDH4BGx/vV0Xjv4WeE5fh/qK6fo1nYXNlavNb3FvEEcMi7huYcsDjBznr60AelUjMFUsxAAGST2rwfT/irrOgfAPQ9agjhvLxL7+z5Wuwzb0UOQeGBzhVGTnvSeO9T+JN78KdbvPENnpljp87QOsSFvOjhZxwCG67vLByOhagD2bVfE2i6HpsOoatqVvbWk7BIp3f5HJBIAI68AmtNHWSNXQ7lYAgjuK+avHr60f2dfDX9vJZri9txZ/Zd3Nv8AZm2F8n7/AFzjjpXVaj8QfHngy88P3fiWz0n+xdUZIVtrYu0sK4X7zHjdg54yOD0oA9sorzbxl491weNrbwV4FtrSXV5YfOuLm8J8u3XGeg74579RwaTwn468QweO28FePbWzTUngM9peWRPl3CjJPB9g3PH3TxQB3Ol+INK1ua7i0m+hu3s5PKuFjbJibng+/B/KtGvB/hx4it/Cdp8Stbu0MkdnqJbYDguxeQKue2SQKvyeOfihaeGE8bXem6MdDZFmOnqXEywsRh8+4IPU9fu0Ae00V5f4v+LE0Gg+HG8HWsd1qXiUgWguM7YskA7gCMkM2OuODWTffEL4geFPF3hzw74ms9FmOqXKRveWwkIdGdVIAyu1hk9iORx6gHs1Fef6R481O/8AjXrPg+aC0XT7G2EsUio3mklYzyd2MfOew7VR0n4pXbeMfGdlrUFsmmeHYnlR4I281wpxg5Ygn6Ac0AenUV4UnxU8eN4dPjb7PoZ0HzCP7N8xvtHlh9u7Prnv+O2tzxz8V7yybw7a+GJNPs/7dthcrqGqFhDCpHAOOh9c5xxQB6zRXC/D/W/GOo3Vzb+KIdKvLONQbfVtKuFeOU8fKVznv1wOnTvXdUAFFFFABWZrniPR/DVmLrXtRgsYWO1WmfBY+gHU/hWnXiHxq0vUrTx1onimTQT4g0SzgMU9mQWQPljlgAcDlTkgjK4NAHqWgeNvDfimR49A1i2vZYxuaJGw4HrtODj3rdrwHwfqnw58VfEXSdS0eO68K61B8q2MUaRwXDc5XKjGSCR/Dn616HpvjfUrz42ar4PlhtRp9nYrcxyqjeaWIjOCd2MfOe3pQB3dFea2HxF1a68beNNHkt7MW+g2jTWzKj73YLn5zuwR9AK5AfFP4i6l8O28YWVhottYWMmy5DCQvcHeBlFJOFG4A/NnIJHpQB7zRXhmr/FTx7p3h3TPGkmm6TDoF5Isa2W93nYEH5i3AGdpxjpxkGuh8a/EnxBo/j3QtA8NWFjdrq9qsiC6DqwdiwHzBsBRgE8E9aAPUqK8UtfH3xJj8b3fgi4tNEudZZBLDdqZFghQruJPdhg4HAOfWt/4d+PPEett4m0jXrK2uNZ0Fyg+ynYtw3zALk8DlOvHB6UAemUV4X4g+IvxH8I26axrz+GkiaYI2jJMWuFGcdj7dQTjPTtW547+KWvaHr/hyw8M6bZ3Y1y1WWOO5Db97nCDcGAAyRnI9elAHrFFeQnx3498Ka34btfHVtpC2er3LW80sCNviO7C/MH24+ZT06A/Wugl8c6rc/GqPwfpNvavp9vaefqE8iMZEOMgKQwA+8g5B6mgDvqKKKACiiigAooooAKKKKACiiigAooooA8b+G/gSObxl43uPFvhmKWKfUjJZSahZK4dTJKSULjoQV6e1ek+INNSPwLq+n6VZqm7T544be3jAyTGwAVR6k1t0UAea/CPw5eW3weOi63Zz2M1wbiOSKaMo4VyRnB9jXK+FtT8YfDTw3e+E7jwff6pPHI50+7s03wyb/7zDoAefXnBA617pRQB4V/wq7WtH/Z31PR1gNxrN5Ol7JaxkMUwyfIMfeIVc8d+Bnio9f8AD2s+N/g5oi2egXkF/wCHnjR7K9jMbXSrGA5QdxnHoTg9695ooA8K8L6Hbar400ptI+F50W0tSs93e6kZFaKRSCPK+bBwRxwc9wMVZ022174TeO/EE0fhy+1zRtalNxDNp673jbLEKw7ffIyfTIz0r2yigDxbw74R1+fw7498Ta1pr2up+IrKdbXTly0iKUbCkepJUY68e9RXfhrWm/ZXg0RdKuzqg25sxC3mj/St33evTn6V7dRQB4d8T/DOt6n8G/CWn6fpN5c3lt5PnwRQszx4hIO4Dkc8U3x94Nksfiu/ibUvCs/ifRNQt0jmhtQWkt5FVVDbQR2QdeOT3xXudFAHkfgHQtRg0bXtU0zwPp+hT3EZisLW6aTfcJknbKC3APA6Dn2rzrW/Csmu2EFtpPw21XRfFHngPPbBkswAfvDJIA+mMdcmvqGigCjottd2eg2FtqU/2m8ht40nmznzHCgM2fc5q9RRQAUUUUAFFFFABRRRQAUUUUAFFFFABVDXdIh17w/f6TcnEV7A8LMBnbuGM/h1q/RQB4V4W1rx18KtOfwzqXg+7120gdmsrqxYldrHOMhTxkk84Iz0rZ+HvhTxFq/xAvfiB41shYXEsXlWNkT80SkbckdvlyOeTuJwK9cooA8r+Bmhapoen+IF1jTrixefUi8YniKF1x1Geoqj4Ig1bwt8ZvFVve6DqElrrl75sF9FETCi5d8s3/AgPrXsVFAHkvwX0HVtGsfFS6tp1zZtc3peETxFPMXDcjPUVyPhv4Z67rPwJ1PRbmwnsNUTU/tdrDdIYzIQijHPYgsAema+iKKAPCtc1fxl438D23gmHwbf2F9MI4b68uk226LGQdyt7lQf0Gc1e8ZeENX8MeIvCPiLwtZ/2xNoViljNZK+JJIkUqGUdTkM3QHHHB5r2euP8c/DfTfHE1jd3F3dafqFgc293asAy8g9/QjI6YoA8ybVNb1v9o3wle67o50ffbSfZ7N5N8ixhJfmf0JOeOwArrPhXoep6X488fXWo6fcWsN7qIe2lljKrMvmTHKk9R8w6eorX8M/C620PxMviHVNa1HXdVjiMUU97Jny1PHA+hI69zXdUAeMy2GufDT4r6xr9poN5rmia4NzmxXfLA+dxyv1z6DB65GKl8JeFdf8SeIPFni7X7A6PJrdg9hZ2kv30QqF3MO33F+vPAGK9hooA+d9BHi+x+E+r+A18H6j9uCzj7UyYhMZyzYP8THkKBnORUPjrT7zSf2Y/DlnqVtLaXUN+okhmQqyH98eQelfR1c1468EWPj7QY9K1O4uLeGOdZw9uVDZAYY5B4+Y0AeX+NW8X/Em00rwhN4WvNNniuFk1G/lH+jqVBG6NujKQSeue3PWr/xA03PihYfEfw+fXtFW3WO11DSlY3SYAwr4YdDng8c59RXsw4ooA8k+BXhjW9Ah1q41C1u9O0u8nDWFhdvmRFBb5mHY42jOBnH0r1uiigAooooAKKKKAPNfi54F1TxF/ZWveFyp1rRZhLDExAEoBDYye4Kgj1ya47xP4l8Q+MtLbTp/hLI+sywm3+23UG4QZ/iRmQbeTkfMAPeve6KAPA9Z+E/iCP4K6JYC0hu9U0i7kupLJH3CRHJJQEdT04Hvg1Y8LaHbar420t9J+F50W0tCs91e6l5itFIpyPK+bBwRxwc9SBivdKKAPLPCGh6pafHzxbql1p9xDYXVuqwXLxkRyH93wrdD0P5VmeG/BeqX+q/FSzvrKezi1qYrZzzRlUly02GU9xkqePWvZqKAPmbTfDM9hocOhXPwpmvvEcc/lNezb/ssibvvllYDpx1x3z2r6L0SxGmaDY2Qhit/s8CR+VCSUTAAwuecDtmr1FAHm/x20fUtc+G5tNHsbi+uPtkT+Vbxl2wM5OBS/EbR9R1H4FvptjYz3F8ba2UW0UZZ8qyZG0c8YNej0UAeex+ErvXPgDbeGp42tb2TS4o/LlG0pKoDAMO3zKM15Vp3hyWPSLHRP+FTyTeII5BDcXl35gtXUf8ALTerAZP5emc4r6XooA8I8deAZdL8eaZr0vhdvEGh/Yo7S6sbLczwMi7QVGc4AAxk+oOODW38O9Du45Nc1jSvA1n4dLQPBpyXbSebOCQcSAtwpKr2+mcc+uUUAfMHiDww+taW9pb/AAx1LSfFJnCiexVls8buTySuMenHfOOK+ivC9nf6d4U0yz1ic3F/BaxpcSli25wozyevPfvWrRQAVj+LLLVdQ8K39t4dvDZam0ebacdnBzj2BxjPvWxRQB4TN408aTeEZPDXiX4c3ur6iIzAbmRC8Up6CQgKQSOuQeeuRWL4o8IX/gv9mtLDVztvLjVUuZIdwYQ7hgJkcHhQT7k19IVzvjfwbZeOvDv9j6lPPbw+csu+AgNlc46gjvQB5J4mufF/j3wfo3guPwreWtzuha61GQf6MVVeHV+4IOT3HTmp/HvgCXSvHWla4/h2bxNoS2UdndWsAJlQou0OFB9AD6dQccGvcLS2WzsoLaMllhjWNS3UgDFTUAePeBfCK6tD4ik/4QyLwtY39nLYWryF/tMiOMHcrNgDgHp16Zxmsnw3rfjfwH4Ll8HQeDr+51e3ldLK9ij32zB2zvLdOMn29cYNe70UAeL/ABC0HxVq+qfDq4vNPa8vbS4MmovYws0UJLxHnrgcHn2NYuv+Cv8AhHfibrOpa54NuvFOj6qTNbvZhmeCQ8lSAeOSRz2wR3FfQVFAHkfhjw9q9j8NdZu7HwPpVhqF+Rt0iUuwuIV6CTc3DYZsDj368ee33hG417UNI/4Q/wACax4Z1xJ1e7uXZktosdWUscjnkdOmMEmvp6igBsYKxqHOWAAJ9TTqKKACuG+MumX2sfCrVLLSrSa8upGh2QwIXZsSoTgD2BNdzRQB5brvw3/4Sz4O6JaNb/ZNf07TLc20jrtkjkWJcxt3GSMexwe1c7qOk+L/AIi/BP8AsvWNKvLfX9IuUlUXcZj+2qqsAQTjLbWOfce9e6UUAfP+iaDBrOvaRbad8KP7M2EPqN1qPmokRBGfLO4Z74zzyOOCa3dRsda+Hvxi1HxRZ6Dea1o+tQhJRYrvlgcBc/L9V9h83XivY6KAPKE0/wAafEjwF4ktfElnDpMV6c6VbSoVlTa24eZ7cKM4z1OOmedbWfGkvwzXwAPBeorqvkDTzdlR9mEONu/f0zt464757V7zRQB4R4o8A6xpa/DLTbCyuNQXSJmN5PbxMyRkyRMST2Gd2M9hW/8AEDQtVv8A40eCtQstOubiztHBuLiOIskXz5+YjgV6xRQB4ubTW/hl8Vtd1q38P32t6Nr2ZQ9gu+SKQncQV/3iRzjgj0IpdeTx54t+DniBte0kpcXU6Np+nwwk3Cx+YD84HXjHYHgk9a9nooA8I8WeF9du9F+FcdtpF5K+nJCLxUhYm3wIc7/7v3T19DUfi/wS2jfFi/1/VvCdz4o0LVI8hLRS0lvLhc5AI7g+2G9RXvdFAHjPh3wHc638O/EsP/CLWnhibVY/Ls4Q7+Yyqdy+buJxyAOg7nHSsWbUPGd98H5vA/8AwhepDULSD7PLcsmIjEhGCnd2IAXA+ua+gKKAOW+Gdjdab8M9Ds9Qt5La5htgskMqlWQ5PBB6V1NFFABRRRQB5h8WvBWs6pqOj+K/CCLJrOjPnyWODMgO4AZ64OeO4Y1ga9448feMtAl8OaV4Dv8ATLu+j8i5u7hiI41PDYLKAMjPJPHbJr26igDwzx98OtR0r4H6D4b0azm1O7tb9Jbj7LEXJYrIXbA5wC2M+mK9C+Kmj3mufCvWdO0yBp7qSJGjiQctskViAPXCniuxooA+evFlrr3ir4GaDpdn4Y1aK90u7ggkhktm3OEgYGRQOduTjPrXTfGfw/q+s6D4Vi0rTbq8ktrpWmWCIuYxtHJx0r1+igDyHxbomueE/i7D480XSJ9asrm3Fve21tzLGdoXIXuMKp+oIOM5p3hvTNc8afF+Pxxq2j3Gi6bpts1tZQXY2zSkhhuK9uHb26AZ5NeuUUAeEaD8PtZ1jw38RtJu7Kaxk1K/Etk9zGUWUrIzqQT1BwBn3pLnWvGepfDWPwD/AMITqMeqmFLCS7ZcWwiXA37+mSB9O4PaveKKAPEfFnw71fw/oPgm58Nqmo6j4ZO6S13Ya4yyu5QdxuyMDnDVz/jLW9d8Q/FLwHd63oEmhxfbo1treeTfK/75NzMMDaM4ABGeM17H47+Hul+PrK2i1KW4tp7Ry9vc27AMhPUc8EcD8qydD+E1vYeJrXXtd17U/EF7ZAi1N84KxcdQOee/XrQBy2q22ueC/j3f+J4vD2oazpuqWqxqbCPeyNsQYPYHKd8cHPaqHhfwX4j1jxN4/XXdLm0o65ZuIZJFLRq7tuCh8YbGQDj0Ne80UAfMml+GJ9M0KPQbv4Vz6j4jjnMf22bf9mkQtncXVgOhx6cZz2r0Hxzo91p+j6BZTeBLPxBoltAI7mGzDme1cj5vKOd23p+XJHBr1qigDwz4T+E7+y+Jt9rGj6NqegeGjbmMW2ouQ8rnGPlPJAOTnnHrzXudFFABRRRQAV5l48u/Hfhrxnaa94etrjXNCaLZc6XERlG6bgACfQ55wc5r02igDwWTT9e+JfxP0HWF8Gy+HLXSp1nubu5XbJPtZWAJwN33cAc4ycmtTXItd8HfHq58UweHr/WNN1KyW3zYx72QhUGMdjmMdccH2r2aigDw/wAKaF4mbxl4+1LWtEuLNtU05zCoUsrMy5Eat0ZgCAcdwaXSvDWtxfsv32jSaVdrqbl9tmYWEpzMD93r05r2+igDw3xn4Z1y8/Z18O6TaaTeTahA0Hm2qQsZEwrZyvUYyK0Nf8PaxcfGnwPqMOmXUllZ2MaXFwsRKRMN/DHoDyK9iooA8sttD1Rf2l7vWG0+5GmtpojW7MZ8sttXjd0zwaxNL8NeKY9Z+KUmm2lzZXOovnT7h0MYm+eQnYx7kHg9sivbqKAPlWfwjf3vw3XT9N+HOpRa5buGvtRnjbdJ8+MRg8sTkZAAwAetd9rfh/Wb3x/8Nr6HSL029lZwC6fyGxbsMZD/AN0j3r2yigDgPjX4fi134X6jI2BPpo+2wOTjaU+9+a7h9cVz3wCsLzULDWPGWsOZb3WLjYrEfwJ6e2TjH+yK7Hxz4CPjhYYZte1HTrMIUuLW1YBLgZz8wPGR+NdBoei2Xh3Q7TSdLi8q1tIxHGvf3J9STkk+poAv0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB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+ } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Synteny is a good way to identify orthologous genes between species, but sometimes genes move around the genome, and when they are in new places, syntenic approaches are unable to identify orthologous gene pairs. Very distantly related species like rice and moss also have undergone massive strucutral rearrangements and polyploidy, so many of the genes are no longer in the same places. Alternatively, we can cluster similar groups of genes into gene families or **orthogroups**. Here, we essentially use BLAST and set a threshold to group genes together based on similarity. Orthogroup analysis is a powerful way to identify corresponding genes across dozens of different species. This can be used to assign function or to identify gene losses or expansions related to important traits. \n", + "
\n", + "We will use OrthoFinder to compare the gene content of 21 diverse land plant lineages:\n", + "https://github.com/davidemms/OrthoFinder\n", + "![Capture11.JPG](attachment:Capture11.JPG)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "OrthoFinder can be used to cluster genes into orthogroups for any number of species and typcially, more species = more power. The input for OrthoFinder is a set of protein sequences in fasta format for each species. OrthoFinder is computationally intensive (All vs all alignment + phylogenetic tree construction), so we (and more specifically, my PhD student Jeremy Pardo) ran this already on a set of 21 species (see below). I have provided an example submission script on HPCC if you'd like to run it yourself!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Bonus: Run OrthoFinder on your favorite species!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will use the output files for the remainder of this exercise. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Phylogenetics with Bio.Phylo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Orthofinder builds a consensus phylogenetic tree based on all of the individual gene trees it constructs for each orthogroup. We can visualize this tree using the Biopython function `Phylo`. This will give us a sense of the phylogenetic placement of the species we included. First, we need to import a few functions in Biopython as well as matplotlib: " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import copy\n", + "from io import StringIO\n", + "\n", + "from Bio import Phylo\n", + "from Bio.Phylo.Applications import PhymlCommandline\n", + "from Bio.Phylo.PAML import codeml\n", + "from Bio.Phylo.PhyloXML import Phylogeny\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are more powerful things that can be done with `Phylo` , but for now, we will simply read the tree file output from OrthoFinder and plot it: " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "tree = Phylo.read(\"data/SpeciesTree_rooted_node_labels.txt\", \"newick\") ## specify the location of the tree file and the format (in this case, newick)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Printing the tree object as a string gives us a look at the entire object hierarchy." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tree(rooted=False, weight=1.0)\n", + " Clade(name='N0')\n", + " Clade(branch_length=0.0288474, name='N1')\n", + " Clade(branch_length=0.338603, name='M_polymorpha')\n", + " Clade(branch_length=0.34032, name='P_patens')\n", + " Clade(branch_length=0.0288474, name='N2')\n", + " Clade(branch_length=0.10958, name='N3')\n", + " Clade(branch_length=0.223498, name='S_moellendorffii')\n", + " Clade(branch_length=0.308232, name='S_lepidophylla')\n", + " Clade(branch_length=0.147061, name='N4')\n", + " Clade(branch_length=0.0411469, name='N5')\n", + " Clade(branch_length=0.229841, name='A_thaliana')\n", + " Clade(branch_length=0.0187217, name='N7')\n", + " Clade(branch_length=0.0292103, name='N9')\n", + " Clade(branch_length=0.184549, name='S_lycopersicum')\n", + " Clade(branch_length=0.163582, name='N12')\n", + " Clade(branch_length=0.0879242, name='L_subracemosa')\n", + " Clade(branch_length=0.0997771, name='L_brevidens')\n", + " Clade(branch_length=0.0230736, name='N10')\n", + " Clade(branch_length=0.181355, name='V_vinifera')\n", + " Clade(branch_length=0.203028, name='M_truncatula')\n", + " Clade(branch_length=0.028947, name='N6')\n", + " Clade(branch_length=0.288512, name='Z_marina')\n", + " Clade(branch_length=0.0316224, name='N8')\n", + " Clade(branch_length=0.26482, name='X_viscosa')\n", + " Clade(branch_length=0.0390377, name='N11')\n", + " Clade(branch_length=0.208096, name='A_comosus')\n", + " Clade(branch_length=0.117034, name='N13')\n", + " Clade(branch_length=0.0205092, name='N14')\n", + " Clade(branch_length=0.106838, name='B_distachyon')\n", + " Clade(branch_length=0.100704, name='O_sativa')\n", + " Clade(branch_length=0.0249557, name='N15')\n", + " Clade(branch_length=0.0238853, name='N16')\n", + " Clade(branch_length=0.0310923, name='N18')\n", + " Clade(branch_length=0.0700782, name='Z_mays')\n", + " Clade(branch_length=0.0390162, name='S_bicolor')\n", + " Clade(branch_length=0.0537865, name='S_italica')\n", + " Clade(branch_length=0.0275797, name='N17')\n", + " Clade(branch_length=0.043075, name='N19')\n", + " Clade(branch_length=0.0389773, name='E_tef')\n", + " Clade(branch_length=0.0741311, name='E_nindensis')\n", + " Clade(branch_length=0.0725456, name='O_thomaeum')\n" + ] + } + ], + "source": [ + "print(tree)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Tree object contains global information about the tree, such as whether it’s rooted or unrooted. It has one root clade, and under that, it’s nested lists of clades all the way down to the tips.\n", + "\n", + "It's hard to draw meaning from this, but we can draw the tree in a more informative way. The function draw_ascii creates a simple ASCII-art (plain text) dendrogram. This is a convenient visualization for interactive exploration, in case better graphical tools aren’t available." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " __________________________________ M_polymorpha\n", + " _|\n", + " | |___________________________________ P_patens\n", + " |\n", + " | ______________________ S_moellendorffii\n", + "_| ___________|\n", + " | | |_______________________________ S_lepidophylla\n", + " | |\n", + " | | _______________________ A_thaliana\n", + " | | |\n", + " |_| | __________________ S_lycopersicum\n", + " | ___| __|\n", + " | | | | | ________ L_subracemosa\n", + " | | | | |________________|\n", + " | | |_| |_________ L_brevidens\n", + " | | |\n", + " |_______________| | __________________ V_vinifera\n", + " | |_|\n", + " | |____________________ M_truncatula\n", + " |\n", + " | ____________________________ Z_marina\n", + " | |\n", + " |__| __________________________ X_viscosa\n", + " | |\n", + " |__| ____________________ A_comosus\n", + " | |\n", + " | | __________ B_distachyon\n", + " |___| _|\n", + " | | |_________ O_sativa\n", + " | |\n", + " | | ______ Z_mays\n", + " |___________| __|\n", + " | _| |___ S_bicolor\n", + " | | |\n", + " | | |_____ S_italica\n", + " |__|\n", + " | ___ E_tef\n", + " | ____|\n", + " |_| |_______ E_nindensis\n", + " |\n", + " |_______ O_thomaeum\n", + "\n" + ] + } + ], + "source": [ + "Phylo.draw_ascii(tree)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we can see we constructed OrthoGroups for 17 flowering plants (11 monocot, 6 eudicots) 2 lycophytes, and 2 bryopytes. See if you can figure out which species are which and read the tree correctly. \n", + "\n", + "You can also create a slightly nicer graphic using the draw function:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Phylo.draw(tree, branch_labels=lambda c: c.branch_length)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have a good sense of the phylogenetic placement of our species, we can play around with the OrthoFinder results. The primary output of OrthoFinder is a csv file where each row is a different orthogroup and each column is a different species The numbers correspond to the number of genes in that orthogroup for each species. We can use this to get simple metrics on or more complex dynamics of expansion and contraction in specific lineages. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For simplicity, we will use `pandas` to read out dataframe: " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0A_comosusA_thalianaB_distachyonE_nindensisE_tefL_brevidensL_subracemosaM_polymorphaM_truncatula...S_bicolorS_italicaS_lepidophyllaS_lycopersicumS_moellendorffiiV_viniferaX_viscosaZ_marinaZ_maysTotal
0OG00000006911310632123116019818168...139151331334069146771792646
1OG00000018090932341761201478107...969926952090113661422001
2OG0000002568011424517231447119...1221162274393282581201748
3OG000000322362992664556138...30347341522362648714
4OG000000420403283693948235...3733726828362640685
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" + ], + "text/plain": [ + " Unnamed: 0 A_comosus A_thaliana B_distachyon E_nindensis E_tef \\\n", + "0 OG0000000 69 113 106 321 231 \n", + "1 OG0000001 80 90 93 234 176 \n", + "2 OG0000002 56 80 114 245 172 \n", + "3 OG0000003 22 36 29 92 66 \n", + "4 OG0000004 20 40 32 83 69 \n", + "\n", + " L_brevidens L_subracemosa M_polymorpha M_truncatula ... S_bicolor \\\n", + "0 160 198 18 168 ... 139 \n", + "1 120 147 8 107 ... 96 \n", + "2 31 44 7 119 ... 122 \n", + "3 45 56 1 38 ... 30 \n", + "4 39 48 2 35 ... 37 \n", + "\n", + " S_italica S_lepidophylla S_lycopersicum S_moellendorffii V_vinifera \\\n", + "0 151 33 133 40 69 \n", + "1 99 26 95 20 90 \n", + "2 116 22 74 39 32 \n", + "3 34 7 34 15 22 \n", + "4 33 7 26 8 28 \n", + "\n", + " X_viscosa Z_marina Z_mays Total \n", + "0 146 77 179 2646 \n", + "1 113 66 142 2001 \n", + "2 82 58 120 1748 \n", + "3 36 26 48 714 \n", + "4 36 26 40 685 \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = pd.read_csv(\"data/Orthogroups.GeneCount.csv\")\n", + "data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### How many total orthogroups are there for this dataset?" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0A_comosusA_thalianaB_distachyonE_nindensisE_tefL_brevidensL_subracemosaM_polymorphaM_truncatula...S_bicolorS_italicaS_lepidophyllaS_lycopersicumS_moellendorffiiV_viniferaX_viscosaZ_marinaZ_maysTotal
28025OG0028025000000000...0000000022
28026OG0028026000000000...0000000022
28027OG0028027000000000...0000000022
28028OG0028028000000000...0000000022
28029OG0028029000000000...0000000022
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" + ], + "text/plain": [ + " Unnamed: 0 A_comosus A_thaliana B_distachyon E_nindensis E_tef \\\n", + "28025 OG0028025 0 0 0 0 0 \n", + "28026 OG0028026 0 0 0 0 0 \n", + "28027 OG0028027 0 0 0 0 0 \n", + "28028 OG0028028 0 0 0 0 0 \n", + "28029 OG0028029 0 0 0 0 0 \n", + "\n", + " L_brevidens L_subracemosa M_polymorpha M_truncatula ... S_bicolor \\\n", + "28025 0 0 0 0 ... 0 \n", + "28026 0 0 0 0 ... 0 \n", + "28027 0 0 0 0 ... 0 \n", + "28028 0 0 0 0 ... 0 \n", + "28029 0 0 0 0 ... 0 \n", + "\n", + " S_italica S_lepidophylla S_lycopersicum S_moellendorffii \\\n", + "28025 0 0 0 0 \n", + "28026 0 0 0 0 \n", + "28027 0 0 0 0 \n", + "28028 0 0 0 0 \n", + "28029 0 0 0 0 \n", + "\n", + " V_vinifera X_viscosa Z_marina Z_mays Total \n", + "28025 0 0 0 2 2 \n", + "28026 0 0 0 2 2 \n", + "28027 0 0 0 2 2 \n", + "28028 0 0 0 2 2 \n", + "28029 0 0 0 2 2 \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## Answer\n", + "data.tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Which species has the most genes in orthogroups? " + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Unnamed: 0 OG0000000OG0000001OG0000002OG0000003OG0000004O...\n", + "A_comosus 21942\n", + "A_thaliana 23472\n", + "B_distachyon 27678\n", + "E_nindensis 85987\n", + "E_tef 60239\n", + "L_brevidens 24107\n", + "L_subracemosa 28876\n", + "M_polymorpha 12565\n", + "M_truncatula 33927\n", + "O_sativa 28553\n", + "O_thomaeum 26489\n", + "P_patens 19870\n", + "S_bicolor 28648\n", + "S_italica 30585\n", + "S_lepidophylla 17824\n", + "S_lycopersicum 27079\n", + "S_moellendorffii 16563\n", + "V_vinifera 21069\n", + "X_viscosa 22840\n", + "Z_marina 17689\n", + "Z_mays 37694\n", + "Total 613696\n", + "dtype: object" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#data.apply(pd.value_counts)\n", + "data.sum(axis = 0, skipna = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "## Answer\n", + "data['Total'].hist(bins=300)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Which orthogroup has the most genes in it (across all species)?" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['OG0000000' 69 113 ... 0 2 2]\n" + ] + } + ], + "source": [ + "## Answer\n", + "#data['Total'].value_counts()\n", + "data_flat = data.values.flatten()\n", + "print(data_flat)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Which species has the most orthogroups with 0 genes? Why do you think that is? " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### BONUS: Plot the distribution of orthogroup size " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### BONUS 2X: Identify orthogroups that are expanded in one species of your choice. This can be simply based on some cutoff, or preferably, using a statistical test. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/PlantsAndPython13_Short_Read_Analysis_I.ipynb b/PlantsAndPython13_Short_Read_Analysis_I.ipynb new file mode 100644 index 0000000..dc97e1c --- /dev/null +++ b/PlantsAndPython13_Short_Read_Analysis_I.ipynb @@ -0,0 +1,605 @@ +{ + "cells": [ + { + "attachments": { + "Untitled-2.jpg": { + "image/jpeg": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Untitled-2.jpg](attachment:Untitled-2.jpg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# A short introduction to short read analysis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have assembled a genome and have some idea of its content, we can use the genome as a foundation to quantify some biological datasets. We can get _billions_ of reads from a single Illumina run, and we can use these sequences to identify differences between a reference and some other plant or simply use the reads to count and quantify gene expression or other biological features. We can use sequence data to measure gene or small RNA expression (RNAseq or sRNAseq) and transcripts that are being transcribed into proteins (RiboSeq). We can also look at epigenetic changes such as methylation (bisultife-seq), chromatin modifications (ChIPseq), or chromatin accessibility and conformation (ATACseq, HiC). There are many different ‘-seqs’, and maybe someday you can create _your own_ '-seq' to measure increasingly narrow things. At the base of analyzing all of these datasets is aligning the raw data to the genome. We can do this the ‘old fashioned’ (circa 2010) way where we align the reads with base pair precision to the genome and store this information (similar to our in class assignment). Or, we can quasi or pseduo align the reads and get a _rough_ estimate ofwhere the read maps to. There are pros and cons to both approaches which we will discuss below. \n", + "Today we will go over how to access short read Illumina data, how to align/map RNAseq data, and a basic way to assess experimental quality using principle component analysis. We will continue this analysis in the next two class periods where you will analyze large-scale RNAseq experiments and we will run differential gene expression and network co-expression analyses. " + ] + }, + { + "attachments": { + "Untitled-3.jpg": { + "image/jpeg": 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+ } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The basic principle of RNAseq analysis is to use the number of reads that align to different genes in the genome as a proxy of how much those genes are expressed. RNAseq libraries are made from random messenger RNAs with low bias, so the pool of sequences is a good representation of what's being expressed in that tissue at that timepoint. There are different types of RNAseq libraries, but here we will focus on the most common approach where mRNA is enriched using poly T beads, reverse transcribed into DNA, framgented, and ligated to adapters for sequencing. \n", + "![Untitled-3.jpg](attachment:Untitled-3.jpg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "___" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Downloading data from the NCBI Sequence Read Archive (SRA)" + ] + }, + { + "attachments": { + "Captyu7kure.JPG": { + "image/jpeg": 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+ } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Captyu7kure.JPG](attachment:Captyu7kure.JPG)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The National Center for Biotechnology Information (NCBI) maintains a massive database, the Sequence Read Archive (SRA) filled with next generation and third generation sequencing data:
\n", + "https://www.ncbi.nlm.nih.gov/sra
\n", + "The SRA has petabytes ( >1,000,000,000,000,000 base pairs) of raw data from many of the living and some extinct species on Earth. You can put your favorite species in the search bar at the top and see if there are any sequences available. Some of the SRA data has been extensively mined, but most of it has only been analyzed _superficially_. There are over 30,000 RNAseq samples for Arabidopsis and ~16,000 for maize on the SRA. Some of this data is defintley low quality, but most was probably carefully collected. What additional insights could be gained my analyzing ALL THE DATA using a common framework? What can be discovered from reanalyzing comparable datasets from many species at once? The SRA is a rich treasure trove of data, and it's free to use. Most journals require that sequencing data from published papers should be deposited in a public repository like the SRA, so keep this in mind. We can download data from the SRA directly to hpcc. \n", + "
\n", + "What is the format for short read sequencing data? We are familiar with the .fasta format of sequence data, and short read Illumina data has a similar format that builds in quality scores. \n", + "
\n", + "Most Illumina data you will encounter is stored in a .fastq format as shown below:
\n", + "\n", + " @SRR1620941.1 AMELIA:320:C2J1FACXX:3:1101:1504:2233 length=202\n", + " CTGGGATGTTTGGGCGGCTTCAGATCTGTGGAGTTCGACTCCCTGCATGAGCACCCGGGCTCCTCGCTTGAGAGGCGATC\n", + " GTGGTCGCTCACAGCCTCGCCCGACGCCTCCGCTGCCGAGGGATGGGTGGACGAGCTCCGGCGGCTGCGCGTCGCCGAGC\n", + " TCCGTCGCGACGTCGAGCGATGCGATCTCTCTATCGGGACGC\n", + " +SRR1620941.1 AMELIA:320:C2J1FACXX:3:1101:1504:2233 length=202\n", + " B@@FFDDFHHHFHJJJJJJJJJJIJJJIJJJJJHHGIGGIIIJHHHHHFFFFFEDDDDCDDDDCDDDDDDBCDDD@<9@D\n", + " BCBDDDDBDDDDDCBBCDBD<+=BDFFFFHHHHHJJJJIJJIGGHJJGIJIJJGJHFEHFFCDDDDDDD8BDDBDDDBBB\n", + " DCCDABDDDDDDBDD@BBB>ABDDBDD@CDCCCCCBBD\n", + " @SRR1620941.2 AMELIA:320:C2J1FACXX:3:1101:2085:2106 length=202\n", + " CCTGCTTCGCTGCCTGGACTGCCAGCGCCGCTGCTTCCTCTGCAGCCTTCAGGCGTGCAGCCCGGCTGGGGAAGTCGCCC\n", + " AGCTCTCCTTCGCTGGTTCCCCTTCCCTACACATGTCGACCTCTGCTGAGCGCGCTGCCAGGCTCAAGGCCAAGGGAACC\n", + " AGCGAAGGAGAGCTGGGCGACTTCCCCAGCCGGGCTGCACGC\n", + " +SRR1620941.2 AMELIA:320:C2J1FACXX:3:1101:2085:2106 length=202\n", + " CCCFFFFFHHHHHIGIJGIIJJJJJJJJGIJJJIIJHJJJJJJJJIBGIEA?EADFDDDDEDBDBBDDDDDDDDCC@5?@\n", + " BB?CCDDDCCDBDDD>A@CC@+=BFFFFFHHHHHJJJJIJJIJJIIJJJJJIIIIIJIIJIJIIJIEHIJHHHHFFFFDD\n", + " CDDDDDDDBDBDDDDDDDD9BBDDADDDBDBBBBDDDDDDDD\n", + "
\n", + "1. The first line (starting with @SRR...) is a unique identifier for that read. Remember, experiments can have billions of reads, so the names/identifiers can be quite long.
\n", + "2. The second line (starting with ATG...) is the actual sequence. This is the bit we care most about.
\n", + "3. The third line (starting with +SRR...) is the same unique identifier for that read.
\n", + "4. The fourth line (seemingly random characters) contains the quality scores. Each letter, symbol, or number corresponds to a sequence position. The sequences and quality scores will always have the same number of characters. During sequencing, the Illumina machine will asign a quality score for each base pair based on how confident the base call was. Some clusters that are close together can have mixed signals and as the Illiumina run progresses, reagents wear down and quality scores tend to be lower. We can use these quality scores to remove 'bad' bases and during read alignment. \n" + ] + }, + { + "attachments": { + "Capture.JPG": { + "image/jpeg": 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dOySzR6jMjt/o8rbtwYHfkY3dccZxVKLvZ91+bX6E8yauuzf4J/qewaVr9rq+p6vY20cyy6TcrbTmRQFZmjWQFcE5GHHXHOa1K8s0Tw1Lr3j7x2Jta1SxtI9ShCRadcm3YyfZYsuzr8xwNuFzt65B7dN8MdXvta8BWlxqtw11dxTT20k7KAZfKmeMMQOMkKM+9Stl6Jj6v1aOtorzDxvc6ja+MpW15fFC+HDax/Y7jw6zgQS5bzGnER8w/wAOMgr7U1/ENzqWi+DtE0TxVJfrrl1LDNrcUQjnMMKM7Lg/ckIUISRkcnANC1WhT0f9drnqNcknxG0p4dVu/seorpelu8UupNCvkySI4RkT5t5O44ztC8Hmsh7a58M+PNK8Ox6xql7pPiG0ukZLu8eWa2liVW3xzE7xkMRjPBAIxXn8Phm2X4D+Ibn7dqxZdVuBsOpTbDsvGUZXdjkHJ/vHBOSM0r6/J/nYT0Xz/Rs+hAcjNFecXGot4C8W3cdzqF9caVL4fe7gW9upJystsxL4LknLLIv121zWkat4kh8By+FNV1W7k8RXGsW1mt35zCZYrhUnZlbORtTzlBzxsprV6f1rb+vIWyu/60uz2yivNvFN5p0viu6srzxB4ku5IooxHpPh2K4DWuQfnlkh6luo3kADsetYCa/r978LbDGq39vfL4oTTFupSq3Ai+0+WBJtyrMFOD1BI5zSWtkutvxaX6jeiv8A1tf9D2iivK/GF7L4Z1XQfCtrqPiNrPUPtF3eXNr517esiBQI0YBnRSzgkjoBgYzV3wTql+vjC60m0TxLNoUtl58NxrtlcI9tOGCmMSzKC4ZSGAJJBU801rt/Vgeh6PWSPEdofGR8NeXN9sFgL/zNo8vyzIUxnOd2R6Yx3qfRLTULHRoLbWdT/tW9jB828+zrB5pySPkXgYGBx6V57ryeIX+PQHhafTILj/hG18w6lBJKhT7S3QI6nOcd6PtJev5Nj+y32t+aX6nd6r4itNI1nR9NuY5mm1eZ4YGjUFVZIy53ZIIGFPQHmmP4ns7ay1e91SG60yz0mRkmuLyHYkqhQ3mR9d6c4B7kEYrgNXj8XJ8SvAv/AAlV1os8P2+48oabbSxMG+zPncXkYEY9Kljt4fFWleP9F8Ra1Ja20mui1tZ55+LdtkLRqgY4/wBZghB1Jx3qdW2l2f5x/wAw0ur+X6/5G9F8UNOWSF9T0TXtJsLiRY4tRv7Hy4GLHC5IYsgJIALqo5rta8m8RXXjrR/DV9b+PNC0nxZ4cERF5Npkz21wIRy0jRtwSMZwjCneJ/Fiah4w03Q4LjXotDGkJqDnQraeSe48xtsal4lLogVScggkkDNXp0/rS/6fMnVav+tl+vyPV6K8fTxnrmgeFvFzW0WtTWlhDC+kXuuWMsUoeU7CjGRQZAjYbJycHknFXfE2hav4WtPD93Y+KtZuGn1mxg1Fbq7LrcK8yglRx5fPBVcKVJBB60JXkl3aX3j6ff8Agep1yt14/s1v7m00bSdW157OQx3UmmW6tHC46qXdlVmHdVLEeldBqbzR6RePaczrA5i/3tpx+tcr8H44U+EPh1oMEy2gllbu0rEmQn33E5qVq35frf8AyDa3n/X6nQ6B4h07xNpYv9JlZ4t7RyJIhSSKRThkdDyrA9Qa064TxjqNl4Q8O6/f+FvssWtXl1bx3BD7/LnmZIkkdM8EKwOMDOBVHX7G/wDAEelazY+INW1DfqNvaX8GoXRmjuUmcRllU8RsCwI2YHGCKe7XyXzf/Dg9PxfyPSaoarrNnoyWrXzsv2u6jtIQqk7pHOFHt9T6VwmmaVf+KfGnjO3v/EGsW9hZahFHawWV48JjY20TE7lOcZOQv3cliQc1zd39o8W/D3wdc63qN9JdxeIhYyT29y9uZQs7x7yEIG/CAhuoJOOtLrHzt+Nv8weik+1/wT/yPbqK84l0281f4s3+jPrmr22l2ei2kohtr542aUySqGLg5zhef72Buzik0KxvfH0msapfa9q2nxW2oz2Nhb6ddtAsCwts3sB/rGZgT8+RjAxT9PP8HYPXy/FXO01bX7XRr/SbS6jmeTVro2kBjUEK/lvJlskYGEPTPOK0ZZY4IXlmdY441LO7HAUDkk15Ja65fa/a/D+41Z1lvrfxJc2c8yLtErQxXMe/HbO3OPevTtfhsLjw5qNvrM6W2nzW0kVzNJII1SNlKsSx4HB60nflbXy+5NfmNW5kn/WrX6HK/wDC2NK+zm/Gi6+dFA3f2yNPP2bZ/wA9OvmbO+7ZjHNdvBPFc28c9vIssMqh0dDkMpGQQfTFeXpafEbwpoQ05LPRvGegwW3kxrHI1peSQhcYPWNvl445NFvrUGu2ngjw74OuLrRtF1OyluHeJyLiOCAKvkK5JKnc2C2c4U4PNVpsv633+78yfN/1tsep1yNn8R9Ku9Pn1L7HqMOlpcJbQX8sKiK6kaXygIwGLY3nGWVR3zWTFbXWj+O/+EQfV9UvNI1fSpriJp7x2ubWSN1Vtk+d+GDjqSQRwea880/w1bP+z3oV0b7VQ02q2m5BqMwRc3oT5V3YXg54/iw3UZpLXVeX4u36Deifl/lc+h6K8x1HV7vwRq/imzN5eXcP9iR32lpd3LzMJEBhZQzEnlvKJ9S+e9Zekalrn/CMaT4NvdXvJtcj8QfYLu9EzCZ4Iv8ASWYtndzFtXr/ABYoWr0/rWz+57g9Fr/Wl/xR7FRXmHiG80+88UalbXHiDxTqNzCyLHYeG4p40sPl+67xfKzk8/vG7jgDrk22ueINd+H/AIGLave2l7e669jdXKMElkiTz0O7GVLbUB7jcAe1C1t8vxG9L+V/wVz2WivKPFOovo3inSfByX3iY6Z9ilvrqbT1uLu8m/eBUjMqhnVRliSCDwoyM86/w/1XUX8R6ppXl6/NokcEc9lda5ZTRSo5JEkPmSqDIBhWBOTyeTiha7f1YUvd3/q56BRRRQAVFdwfarKe33bfNjZN2M4yMZqWik0mrMabTujwjTf2dvEGl2S6fafFTV7bThndaWsMkSEH72AJ9ozn0r0K2+FPhu1+GUvgeOKU6bOp82UsPOeTIPm5xjdkAjjHAGMV2tFN6qwlo7nAeGfh3rukarYz61491XV7LTU8uzsVjFtHtxgecUOZsAfxVFrnw38R3t/qB0X4h6pp+m6mW+02FzbpehQwwyxPIcxLgngdK9Eooeu4LTY821r4N2F78P8AQvCek6i+n22j3iXayyQ+c0xXcWz8y4LFic9vSuY+KV3o/h74qWWtNrOteENQez8qbWYtLW7s7iLP+rIySH4/unHy+xr3Cihtt387/hYElb5W/G54R8J/CL65pnxFmglvodN8SSG3sr6+iJknXbIDNtO0tkyZ7enGK67VPhF/aXwZsfAX9t+X9jZD9u+yZ37XLf6vfx1x96vSaKbtp5W/8l2DW935/jv+RzGt+FtS1PXvD19Y+I7rTbbSZC1zZwhtl+Plwr4cDA2nqG6109FFFxWRhXXhr7T4707xJ9r2/YrKe0+z+Xnf5jI27dnjGzpg5z1qQ+H8+OF8Rfafu6cbH7P5frIH37s+2MY/GtmiktLeV/xv/mxvW9+v6W/yORvPBupR+J7/AFfw74hbSl1QR/b4Gs1n3Mi7Q8ZJGxtuByGHA4qtafDCwh8Bx+GbjULqQW97Je2t/F8k9vIZWkRgTnLLuwSfvc8DOK7eijpYdzhJ/Aeva1Etj4t8YyappG5Wls4NOjtmuQpyFlcE5XIGQoXNaes+ELqfxENf8N6v/Y+qNbi1nL2wuILiMElQ8e5TuUk4YMOpByK6iigRx9v8O7J/DerabrV9caldazL597fnEbmQY2GMDhAm1do5xjvXOeI9E1ux8S+CZ9c8SPqoi1pYoY0tFgXBhl+eTBO9+MZG0cn5ea9Too6p9rfgHRr1/Eralp1rq+l3OnahCJrW6iaGaNujKwwR+RrjIPAviiys10uw8f3UekIgijWXTopLqOPGNonJx04yUJ967yilYdzitb+HYuPDfh/SfDOoro/9gXcdzayy232nJRWGGXcuSSxJOetRSeBNc1q6tB4z8VjVLC0uEuVsrTTVtFlkQ5TzG3uWAIBwMe9d1RVXd7+d/mLpbyt8v6ZyWseCruXxFNr/AIW16XQtSuo0iu82y3EFyEztLxsQdwBxuVgccVP4e8Iz6brU2ua7rEutaxLALYXDQLDHDFncUjjXO0E4JJJJwOeK6aiktNgepBfWcGo6fcWV2gkguImikQ/xKwwR+RrmvCXgK28OeDLnQNQum1f7aZPtlzLHsa4DLsAIyeiBV69q6yilZa+eg77eRwK/Da/m0m38P6n4pnvfDVuUAsWtFWaaNCCsUs4PzJwM4VSQME13wAAAAwB0FFFVdiscH/wrFB4Fj0JNVaO+tb+TULHU0t8NbTNM0gITdyBuKkZG4Z6ZrYi8JH/hL77Xbq+ErX2lxafJCkOwAozsXB3Hrv6Y4x1NdJRU2Vrf1tb8g63/AK3v+Zg+DPD954W8NW+jXeppqMVmoitZBbeSyQqAFVvmIZhj7wxn0rNn8F6lbeK9R1nw54g/sxdW8s30Elks+5kXaHjYsNh2+oYe1dhRVNtu7DZWOCt/hgLbwtd6ImtSyxz61Hqqzzw75AVljlZGO4bixQ/Nxjd04roNc8Nf2z4h8P6p9r8n+xrmSfyvL3edviaPGcjbjdnOD0rdopdLf1pb/JCtv/W9/wDNnC3Hw91CKPUrDQfE02l6Nqckks9mLRZJImk5k8mUkbAxJOCrYycEV03hjRf+Eb8KaXov2j7T/Z9rHb+ds2eZsUDdtycZx0ya1KKForL+rbDerv8A1qcyvg/b4h8Tap9uz/b1pDbeV5P+o8tHXdnd82d+cYGMVSb4fbNA8OQWGrSWmr+HbZLe11JIAQ6iMI6vGTgowUErnIIGDxXZ0Uf8D8L2/Njvf+vT/I5rQfCc9hr1xr2u6q2ravPALYSiAQRQQg7tkcYLYy3JJYk4HpWLp3wqtrDw/wCKtKfUnmj19pBE5hwbKI7ika/N8wRnYjp17V39FD1VhbO5jeEfDqeFPCljoyXBumtkPm3DLtM8jEs7kZOCzEnqetM8T+GU8RQ2ckV5Lp+oadP9psryJQxifBU5U8MpBIK9x3HWtyim3d3YLRWRx0PgH+0JNRuPGOpnW7i/sjYMI7cW0MMBOSqIGYhieSxYngYxiqy/D/VbuOx0/XvFc2paJYyxyR2n2RY5p/LIKCaYN84BAPCrnHOa7qiktNg3OQ1fwJ/aqeLl/tHyv+Eks0tf9Ru+zbY2Td94b/vZxx0rqrWH7NZwwbt3lRqm7GM4GM1LRQtAOS1PwDbal8RtO8VNdun2OMCWzCZWeRQ4ikJzwUEsnY5yOmKn17wlPfa/Br+g6q2kavFAbV5WgE8U8JbcEkjJUnB5BDAjJ9a6aijsG7uzhp/hs154T8Q6dfa3Lc6p4gA+16lJAMLgAKqRAgKigcDOeTkmtzxL4a/4SCysxBfS6ffafOtxaXcShvLkAI5U8MpBIKn16it2ij+vuD+vvONi8C3dzdajqPiDWxqGq3emyabHNDZiCK3ifk4j3MSScEksenGKYPh7Jaab4eOkay1lrOhWC2Ed/wDZg6XEW1QyyRFuVJUMAGBB712tFG239b/5v1uH9fl/kjkbLwM8cOuXOqas+oaxrVr9lmvTAESKMKwVI4weFBYnBYkk8mn6x4I/tb4c2vhX+0PK+zx2qfavI3bvJZGzs3DGdnrxnvXV0ULTby/Db8xNX38/x/4YbLEk0LxSqHR1Ksp6EHqK4I/DXUG0U+G38V3DeGCPLNl9lX7QYc/6n7Rn7mOPubscbq7+igYyGKO3gSGFAkcahUUdFAGAK5W08BQWvxNvfFwvWdbq28oWJj+VJCEV5d2erLEi4x2611tFHW4bKyOQ8DfD+DwTo+p2MN89219cPKJXj2mOPaFjjAychFAHb6Cqcfw4uLPwj4X0zTdcEF/4bcPb3r2e9JTsZGDRbxwVc9G4ru6KNvw/DYP+D+O5iaF4dOjaxrt+13551i7S5KCLb5W2FI9ucnP3M546496b4O8Nf8In4eGl/a/teLmefzfL2f6yVpMYyem7Gc84rdoo/wCGA5XU/Cepf8JJca34Z14aVc3sSRXkU9oLmKXZnY4XcpVwCRnJBGMjiqg+GlnF4bs7G11K6h1Kzvn1GHVNqmQXLsxdiuNpVtzApjGOPeu1ooDf+vkctpHhG8j8SR6/4l1n+19Rt4Gt7URWot4bdGILlU3MSzYAJLHgcAVVi+HaL8PdU8LS6k5F/cXFwLpIQpiaSYyj5STnaSB15x2rs6KN/wCvn+YHE+KPh/c+L9F0a21fWlF7p9yJZ7q3tNi3URBEkWzedoZSAeT0zirM/gK3m+KVv4yN4w8iz8j7F5fymUblWbdnqEdlxjv1rraKd9b/ANdhWVrf13OOl8Fana+J9T1Xw54i/syHV2SS9t3slnPmKgTfE5YbDtA4YOMjpVOz+GIsvD0WkJrMsscOvJrKSzQ7nOJRIY2O4ZJIPz8deld7RSWjTXT9GmvxSG9f6+X6nP8Aibwr/b1zp+oWV/JpmraY7NaXkaCQAOMOjoeHRhjIyDwCCKh0Hwnd6frV3rmuaw2q6vcwC2WVbcQQ28QOdsceWxknJJYk8V01FAblDRLTULHRoLbWdT/tW9jB828+zrB5pySPkXgYGBx6VRHhnHxCbxR9r66YNP8As3l+kpk37s++MY/Gt2infW4dLf1vcwtc8Nf2z4h8P6p9r8n+xrmSfyvL3edviaPGcjbjdnOD0rLPw5sbqw8TWOqXMlxb6/f/AG390vlPbMFQLtbJ+ZTGGDcfSuxoqbL+vl/kh3/r7/8ANnB3HgTxLqdlJpWueOri80eVfLmhj06KG4mj6FHmBPUcEqqk+taer+CzNqdjq3hvUf7E1OxtvsaSCATQy2/BEckZIyARkEMCOeea6mimI5Gx+H9u2ma3D4kvpdZuteUJfXDIIl2BdqpGgzsVRyOSc8kmuT8aeHNa0+08NHVvE82p2tn4g09LeH7KsLMPOUAzMCfMYDuAo7kE161RTTtJS7Nfg7h0a9fxCuKi8D6tok90vgzxL/ZVhdTNO1jdWK3UcLucsYjvUoCcnaSygk4FdrRSDyOQtvhxpQ8L6rpGpXF1qEusuZr+/mYCaWXja42gBduBtAGBgVEngfVL+804+KvEz6vZaZOtxb2yWaweZKn3HmYMd5U84AUZwSK7Sijrf+tNg6W/rXcxdE8O/wBja1r1/wDavO/ti8S68vy9vk7YUj25yd33M5464rn0+G8kHgm20S11nyruz1RtTtr02oZVkMzShWj3fMPnKn5hnrxXdUUrbeX6W/yD+v6+8wNO8NzWni+68QXN8s811p1vZyRpBsG6JpGLj5jwxk+72x1NZkvgnU7HU9Rn8KeIzo9tqkxuLq2eyW4CysMNJESw2E4BOQwzziuyop/1+oHIw/D2zsbPwxaabdSRQaBetefvV8x7pmjkVizZGGLSlicH0x6dLqWnWur6Xc6dqEImtbqJoZo26MrDBH5GrNFD1TT6gtHdHBweBfFFlZrpdh4/uo9IRBFGsunRSXUceMbROTjpxkoT71eu/h7YppGiW2gXUuk3eggjT7tVEpUEYdXU/fVv4hxzzkV11FGoHMaJ4SuLPxBNr+v6sdW1aS3+yxyLbiCG3izuKpHliMnBJLEnA9Kzofhv5PwttfCA1ZhLaSJNDfrbjiRJ/OQmMscgEAEZ59RXcUUdLB/X6HGeJPAEnim58OXep6qFutImV7p4bbal6m5HMe3edgLxo3VsYqe28BW9v8Ubrxl9sZjPaiFbPy/ljkwqtLuz1Koi4x2611lFG34/juBxcXgXU9O1nVptA8Svp2n6xcm7urb7EkkqSsoVmilJwudo4ZWx2qHSPhqukaJoGmR6s0sWiatJqEbPDlpFYykRk7uo8373fHTmu6ooWlreX4bfcD1v5/ruc54j8KSatqtlrOk6k+lazYo8UVyIRMkkT4LRyRkjcuQDwQQRwaPDXhWbR9Sv9W1bVJNW1fUAiTXBiEUaRpnbHHGCdq8k9SSTya6OihabA9QooooAKKKiurmOzs5rmfIjhjaRyBk4Ayf5Um0ldjSu7IlorwRPjN8StS0qfxZofgazl8Iw73MktwPPaNCQzffB7HohAweuK9Z0jxzoep+ENL8RXF/b6dZ6mq+T9tnSP94c/u8kgFsgjA64qrOxN0n/AF03OioqncavptpqNtYXeoWsF7d5+z20s6rJNjrsUnLY9q4Xw/8AE03HjvxlpXiS40vTdM0GaGK3uZH8ktvDffZ32k8cYApLV2/rS3+Y3orno1FUbvW9KsNLGpX2p2dtYMFIuprhUiO77vzk457c802LxBo0+oT2EGr2Ml5bqXmt0uUMkSjuyg5A+tAGhRVLTda0vWoHm0bUrPUIo2KO9rOsqq3oSpOD7V59ffFOXwt8M7zxF4kvfDur3qXLQ2sOgXhMUxyoC5ck7hnLYzgdqTdtxpXPTqK818S/GbRNB0DQbu2vNOv59XnihPlXieXbqSBJI2CTtXkfXgkV3Fx4k0Oz0uHU7vWdPgsLgAw3ct0ixSA9Nrk4OfY1T0v9xKdzSoqOC4hurdJ7aVJoZBuSSNgysPUEcGvO/if8Uo/C3gubVfCN7pGqXlveR208TS+csW7OQwRwQeO5pdUv61dikrnpFFIh3RqT1IzXm/w++KSa/purXPi680nSja6xLp9rmXyBKFC4/wBY5y3Pb8qOtv63S/UXS56TRVObWNMttRttPuNRtIr27BNvbSTqskwHJKKTlse1LLq2nQapBpk+oWsd/cKXhtHmUSyqOpVCckDB5A7UAW6Kp2Or6bqc1zFpuoWt5JaSeVcJbzrIYX/uuAflPB4NYnivxLeaFrvheytI4Hj1fUjaTmVSSqeW75XBGDlR1z9KO3n+odG+36HT0VzfxB8RXfhTwPe6zp0cMlxbtCEWdSUO+VEOQCD0Y9+ta15rWl6aH/tLUrO0McXnSefOseyPON5yeFzxnpmjoBeorE1bXFfwddav4d1TR2xEXt728uM2YOeruh+77g1pWuoWt1NLbw3dvNc24T7RFDIGMRYZGRnIyORnqKPICzRVaPUrGZbkw3tvILNzHclZVPkMACVfn5SAQcHsai0vXNJ1yKSTRdUstRSNtrtaXCShT6EqTg0AXqKzoPEOi3V7HZ22r2E11KrPHBHcozuqkhiFByQCCCexBpLHxHomp30tlpus6feXUP8ArYLe6SR0+qg5H40AaVFcP4g8dv4W8Pa/qmp3uhzmzvRb2UEF1tblVxHLk8SjLMVH8IH1rqdO13SdXIGl6pZXreUs2La4ST5GJAb5SflJBAPTg+lC1V/67g9HYv0VBDe2txc3Fvb3MMs9sQs8SSBmiJGQGA5XI5Ge1R6lqunaNaG61e/tbC3BwZrqZYkB9NzECgC3RWJrXivStG8I3XiJ761lsYYGljlFwoSYgHaqtnBLHgY6k1R+H3iC98UeGI9Wv7/SLv7RtZU0rcVt8qCYnYu2XGefu/Sha38gelvM6mivPpdf8bat498Q6N4bl0C2tNHNuA1/azSSOZYg/VJVHBz2rW8IeJdV1LVtZ0LxJa2sWqaQ0RkmsWYwTpKpZGUN8ynggqSfrzQtQeh1dFZ0fiHRptXfSodXsJNRTlrNblDMv1TO4flRf+IdG0uR01PV7CzdAhdbi5SMrvJCZBIxuKsB64OOlAGjRWXd+KNAsF3X2uabbDzTBma7jT95gHZyfvYI468itNWDqGUhlIyCDwRQAtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB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+ } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will use the SRA-Toolkit program to download data from the SRA. The SRA toolkit is installed on HPCC and can be accessed by loading the module from a developmental node or in a submission script. Simply type:
\n", + "\n", + " $module load sra-toolkit`\n", + "\n", + "We can then download the data using the following command:
\n", + "\n", + " $fastq-dump SRR1620942 \n", + " \n", + "**Note:** You need to specify the output directory (`--outdir `) or the reads will be downloaded by default into your present working directory. The SRR number can be found at the bottom left hand corner of the info page for that sample: \n", + "
\n", + "\n", + "![Capture.JPG](attachment:Capture.JPG)\n", + "
\n", + "Because fastq files can get quite large, raw sequences should be downloaded into scratch (`/mnt/scratch/MSU_ID/`)
\n", + "If the data is paired end, you can split it into Read 1 and Read one by using the split flag as follows:
\n", + "\n", + " $fastq-dump --split-3 SRR1620942
\n", + "It is also useful to rename the files from the default SRR number into something more informative (i.e. species name, tissue type, sample, treatment, etc). " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This approach is fine when downloading a few files, but what if we want to download _a lot_ of .fastq files? We could recursively run each sample one at a time, but that would take ages and be a poor use of our time. Instead, we can write a simple shell script and list to download a batch of files as follows:
\n", + " \n", + " #!/usr/bin/bash\n", + " fastq-dump $1\n", + "
\n", + "Where $1 sets the first argument in command line. \n", + "
\n", + "Then, we can create a list of SRA identifiers for the files we wantwith one identifier per line as follows:
\n", + "\n", + " SRR1620941\n", + " SRR940286\n", + " SRR940284\n", + " SRR940283\n", + " SRR940276\n", + " SRR940278\n", + " SRR940279\n", + " SRR1620975\n", + " SRR1620976\n", + " SRR1620977\n", + "
\n", + "We can then read this list and feed it into our shell script to download the files recursively `|` connects the
\n", + "\n", + " $cat list_SRA.txt | xargs -n 1 bash get_SRR_data.sh\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Trimming Illumina reads" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Before we work with fastq files, we need to clean them up and trim off any adapters or low quality bases. Running alignments on untrimmed data usually results in low quality mapping. Again, there are many programs that can do this, but my favorite is a relatively new program that is _ultra fast_: `fastp`. It will automatically detect the Illumina adapters that were used, and trims all low quality bases without needing to apply manual filters. Fastp is realtively easy to run, and it just requires the input fastq (`-i`) and the name of the new trimmed output file you want to generate (`-o`):
\n", + "\n", + " $/mnt/research/HRT891_f19/bin/fastp/fastp -i maize_seed_R1.fastq -o maize_seed_R1_trimmed.fastq" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** Remember to trim your reads before aligment. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Before class on Wednesday, find some RNAseq data on the SRA, and download it to `/scratch`. It can be paired end or single end, and it can be from the same experiment or several different ones. Also, try to find at least 6 different timepoints, tissue types, etc. For example, you could download 6 'leaf' expression datasets from maize and see how similar they actually are. You could re-analyze data from drought, pathogens, mutants, developmental series, etc. You can also use your own data. This can be done individually or in groups, it's totally up to you.**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Which species did you choose and which timepoints. Why did you choose this? " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RNAseq data analysis: read alignment" + ] + }, + { + "attachments": { + "SalmonLogo.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is no _correct_ way to analyze gene expression data but there are a few best practices that produce the most robust, accurate results. There are forks at every major step including how the reads are aligned/mapped against the genome, how we identify genes that are differentially expressed, and the types of downstream analyses we conduct with the data. In this notebook we will focus on: (1) how to quantify gene expression data, (2) how to manipulate an expression-based data frame, (3) and how we can assess the quality of the data prior to downstream analyses. We will work on analyzing the expression data in the next notebook.
\n", + "In our raw fastq file, we have fragments of sequenced mRNAs and we want to know which genes they came from. We can do this by **aligning** or **mapping** the reads against the genome to figure out the exact base pair overlap of the reads and the genome, or we can **pseudo-align** or **quasi-map** the reads to figure out which gene the reads map to without calculating the best alignment. These two approaches produce *largely* the same results, but have unique advantages and disadvantages.
\n", + "Allignment based algorithms are more computationally intensive. These algorithms use a hash table to figure out which region in the genome the reads correspond to and then test local alignments to find the best overlap between the genome and reads. Alignemnt based programs produces a huge `.sam` files which contain the seqeunce information from the read and where it align in the genome. A `.sam` file is essential for doing variant analyses and for quantifying alternative splicing, but it is not needed to quantify gene expression. Alignment of RNAseq data is also challenging because the genome sequence contains both the introns and exons, and RNAseq reads contain only exons (introns are spliced out). A single read can map to several distant regions in the genome. There are several leading alignment based programs for RNAseq including HISAT2 and STAR (among many others, don't @ me!):
\n", + "HISAT2:
\n", + "http://ccb.jhu.edu/software/hisat2/index.shtml\n", + "STAR:
\n", + "https://github.com/alexdobin/STAR\n", + "
\n", + "Pseudoalignment or quasi-mapping based programs work a little differently. Instead of figuring out the optimal alignment and exact overlap between a read and the genome, these programs use a hash table to figure out which transcript the read is from without doing the computationally intensive alignment. Pseudoaligners use the gene models (or transcripts) as a reference for alignment instead of the genome, so they don't run into problems associated with splicing. Instead of producing an alignment file (`.sam`), pseudoaligners output a table with counts for each gene. Pseudoaligners run _ultra fast_ and can process a stardard RNAseq sample in a few minutes (compared to hours for true aligners). There are a few good pseudoaligners and the two most popular are kallisto and Salmon:
\n", + "kallisto:
\n", + "https://pachterlab.github.io/kallisto/\n", + "
\n", + "Salmon:
\n", + "https://combine-lab.github.io/salmon/
\n", + "\n", + "We will use Salmon in the course, but other programs might be better for your experimental system. In this lession we will be using RNAseq data from a few tissues in maize. In the second part, you can use whatever data you'd like.
\n", + "
\n", + "![SalmonLogo.png](attachment:SalmonLogo.png)\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To run Salmon we need an indexed file of transcripts (to map the reads against) and either unpaired or paired Illumina .fastq files. Salmon is installed on HPCC, and we can run it by loading the Salmon module:
\n", + "\n", + " $module load Salmon\n", + "
\n", + "First, we need to build our index. The index is a structure that Salmon uses to quasi-map RNA-seq reads during quantification. The index only needs to be constructed once per transcriptome, and it can then be reused to quantify many experiments. If you don't have a set of transcripts (transcriptome) you need to download one for your favorite genome. We can get this from several places including ensembl: \n", + "http://ensemblgenomes.org/info/genomes?division=4
\n", + "We can use the `wget` command on HPCC to download a file directly from a link. Note: The file will be downloaded automatically in your present working directory:
\n", + "\n", + " $wget ftp://ftp.ensemblgenomes.org/pub/release-45/plants/fasta/zea_mays/cds/Zea_mays.B73_RefGen_v4.cds.all.fa.gz\n", + "
\n", + "\n", + "We can then use the `index` command of Salmon to build our index for mapping, where the `-t` flag specifies the transcript file and `-i` specifies the directory and prefix for the index you will be building:
\n", + "\n", + " $salmon index -t Zea_mays.B73_RefGen_v4.cds.all.fa -i Zea_mays_Salmon_index\n", + " \n", + "After we have an index, we can run the `quant` function to quantify expression. We will set a few flags as follows. `-i` sets the index `-r` sets the path to the fastq file (if the data is unpaired). `-1` and `-2` set the path for read 1 and read 2 for paired end data. `-p` sets the number of threads to use and `-o` sets the output directory:
\n", + "\n", + " $salmon quant -i Zea_mays_Salmon_index/ -l A -r /mnt/research/HRT891_f19/Week_3_RNAseq/00_raw_RNAseq_data/01_maize/maize_root_R1_trimmed.fastq -p 5 -o test_2\n", + " \n", + "This should run in a few minutes, and we can enter the output directory to find the files we need. The files we care about are the `/log/salmon_quant.log` and `quant.sf` files. The log file contains all the info and metrics from the run and the `.sf` file contains the read counts for each gene. Read counts are important, but these can be misleading because longer genes will be fragmented into more pieces per single mRNA molecule, and might appear to have higher expression. Two genes with similar expression levels could have different read counts if one gene is significanlty larger. The numer of reads per gene (transcript) is also dependent on the total number of reads sequenced for each library. We can normalize the data by the number of reads per library and the lengths of transcripts to create a metric of **transcripts per million (TPM)**. This normalization will allow us to compare the expression pattern of the same gene across multiple tissues/timepoints. \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Question: What is the read mapping percentage of this sample? Do you think this is good? What factors could be driving this mapping rate?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can run individual `quant` commands for each file separately, but this is tedious, especially if we have thousands of RNAseq files. We can use a shell script to run them all automatically. Below is an example shell script to do this:
\n", + "\n", + " #!/bin/bash\n", + "\n", + " module load salmon\n", + "\n", + " cd /mnt/research/VanBuren_Lab/Bob/Teaching/RNAseq/\n", + "\n", + " for i in /mnt/research/HRT891_f19/Week_3_RNAseq/00_raw_RNAseq_data/01_maize/*.fastq\n", + " do\n", + "\n", + " unpaired=$(echo ${i})\n", + " Name=$(echo ${i} | sed 's/\\/mnt\\/research\\/RT891_f19\\/Week_3_RNAseq\\/00_raw_RNAseq_data\\/01_maize\\///'| sed 's/.fastq//')\n", + " echo ${i}\n", + " # Run salmon command followed by done to end the loop\n", + " salmon quant -l a -p 6 -r ${unpaired} -i /mnt/research/HRT891_f19/Week_3_RNAseq/01_genome_files_indexes/Zea_mays_Salmon_index/ -o ${Name}_quant\n", + " echo ${Name} & done\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can follow the logic of shell scripts based on what we know about variables and loops in python. Here, we are running a `for` loop on all of the fastq files within a directory. Shell loops require three elements: for, do, and done. We will set two variables, one to retrieve the reads and one to set the output prefix. Instead of print, we will use echo. For the `Name` variable, echo will print to full path of the file, and we can use `sed` to remove all of the charactors we don't want.
\n", + "You can save this shell script with the file extension `.sh` and run it on a developmental node (or submit it to the queue via Slurm):
\n", + "\n", + " $bash kallisto_quant_script.sh\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our shell sript will process all of the files individually, but we want all of the data in the same dataframe. We could write a script to parse each separate dataframe, rename the columns and merge them, but luckily for us, the Salmon function `quantmerge`exists to do this: \n", + "\n", + " salmon quantmerge --quants *_quant -o merged TPM\n", + "\n", + "We need to specify the directories that we want to merge using the `--quants` flag. Using `*` matches zero or more random charactors and will include any directories that end in \"quant\" `-o` specifies the prefix of the merged TPM file. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** You can run this shell script on the maize data if you want, but you really only need to run this on the data you download from the SRA. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data import and exploration" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have a matrix of TPMs for a couple samples, we are ready to analyze the data for differential gene expression, co-expression networks, and other downstream analyses. But first, we need to import the data and we should test for variance between our replicates. We have three replicates for the maize data (described above) and the teff data (included with this notebook). For the teff data, we have 10 diverse tissues with three replicates. If the data were collected carefully we would expect a low amount of variance between the replicates. If the data was collected haphazardly or mishandled, we would expect a high degree of distance in the PCA. If the replicates have a high amount of variance this will effect the downstream analyses. We can explore the RNAseq data using principal component analysis (PCA). We can use the same code from Notebook 10 with a few modifications.
\n", + "First, we need to import out table of TPMs as a dataframe:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "expr_df = pd.read_csv('data/tef_raw_TPM.txt')\n", + "expr_df = expr_df.set_index(expr_df.columns[0])\n", + "expr_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How many Genes are there in this species and how many different RNAseq libraries were sequenced? " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have a lot of individual data points here (e.g. genes) for doing a PCA, but some are more informative than others. If you look through the data you will see that lots of genes have no or very little expression. These genes would have TPMs of 0 or >5. Since these data points are not informative, we can mask them before moving on: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Filter out non-expressed genes\n", + "expr_df = expr_df.loc[expr_df.sum(axis=1) > 10, :]\n", + "expr_df.shape\n", + "\n", + "## Filter out lowly expressed genes\n", + "mask_low_vals = (expr_df > 1).sum(axis=1) > 10\n", + "expr_df = expr_df.loc[mask_low_vals, :]\n", + "\n", + "expr_df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "TPMs range by several orders of magnitude and a highly expressed gene can have a TMP of > 10,000! If we include values ranging from 1-10,000 in the same data frame, this would skew the PCA. Instead we can log2 transform the data to get numbers that are more reasonable. Note that some genes have 0 expression and log transformation of 0 is undefined. Even though we should have filtered these out, we can add 1 to every value. We can then use the numpy function `np.log` to log transform the values. We will use two loops to do this: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for c in [c for c in expr_df.columns if np.issubdtype(expr_df[c].dtype , np.number)]:\n", + " expr_df[c] += 1\n", + "\n", + "for c in [c for c in expr_df.columns if np.issubdtype(expr_df[c].dtype , np.number)]:\n", + " expr_df[c] = np.log(expr_df[c])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now our data is in the same order of magnitude and we're ready to run the PCA. See the transformed values: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "expr_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we run the PCA on the data frame as is, we would get ~30,000 points, one for each gene. Lets transpose the data so run the PCA on the 31 samples: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "expr_df_trans = expr_df.transpose()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "expr_df_trans.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lets run the PCA using the code from notebook 10 with some modifications and lets see how much variation our two PCs capture. **Note:** This is a complex data frame that we heavily transformed, so this might not be super high. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.decomposition import PCA\n", + "\n", + "pca = PCA(n_components=2)\n", + "\n", + "real_PCs = pca.fit_transform(expr_df_trans)\n", + "real_PCs_df = pd.DataFrame(data = real_PCs, columns = ['PC1', 'PC2'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pca.explained_variance_ratio_" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we just need to add back the sample names into a single data frame and plot the two PCs. We can do this using the old data frame, but here I just concatenated a new data frame containing just the sample names: **Bonus:** see if you can figure out how to pull this data out from the original data frame. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sample_names = pd.read_csv('data/tef_names.txt')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "final_real_df = pd.concat([sample_names, real_PCs_df], axis = 1)\n", + "final_real_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can use `seaborn` to plot the PCs. We can set the colors using `hue`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "sns.lmplot('PC1', 'PC2', height=10, data=final_real_df, hue='Tissue', fit_reg=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Question:** How does the data distribution look? Are the replicates clustering together for each tissue type/ timepoint or not? " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answers" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Putting it all together" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, we learned how to pull data from the SRA, quantify gene expression, and do some basic quality checks. Now, the task for this notebook is to run this pipeline on a set of RNAseq data you find on the SRA. You should document what you did, but at the end of the notebook, I would like to see a _nice_ plot of the PCA of your experimental data(s) with informative labels for the samples. We will use this data in the next notebook. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Answers" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/PlantsAndPython14_Variant_discovery_pop_gen.ipynb b/PlantsAndPython14_Variant_discovery_pop_gen.ipynb new file mode 100644 index 0000000..0ac8705 --- /dev/null +++ b/PlantsAndPython14_Variant_discovery_pop_gen.ipynb @@ -0,0 +1,873 @@ +{ + "cells": [ + { + "attachments": { + "Plants_python_emblem.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Plants_python_emblem.png](attachment:Plants_python_emblem.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So far we have seen how Illumina short read data can be used to quantify elements in the genome (e.g. gene expression, small RNAs, chromatin accessibility, and transcription factor binding). These approaches align the reads against a reference genome for quantification, but ignore the actual sequence information contained in the reads. In RNAseq data for instance, there can be differences between the RNAseq reads and the reference sequence, but we ignore this information as we only care about how many reads align per gene. What if we care about the actual sequence?
\n", + "
\n", + "We can use Illumina data to identify differences between a reference genome and another individual. We could look at differences across varieties, cultivars or accessions of a crop plant. We could sequence siblings in a mapping population and identify which alleles they have. We could also identify causal mutations in an EMS, fast neutron, or transposon based mutant populaton. In all of these cases the workflow is the same, and the first step is to identify _variants_ or differences between the reference genome and our individual of interest. Using Illumina data, we can identify single nucleotide polymorphisms (or SNPs) which represent base pair differences (e.g. A -> G, C -> T, etc.), or we can identify short insertions or deletions (InDels) which represent differences that span a couple base pairs (e.g. a deletion of ACC or an insertion of GTGA).

\n", + "Identifying variants is significantly more computationally intensive than mapping RNAseq data, so we will not be doing it in this notebook (but the workflow is described below for those who are interested). Instead, we will learn about how to manipultate the output variant dataframes (VCF files) and simple downstream analyses of genetic diversity and population genetics. In this notebook, we will work with variant data for wild and domesticated pineapple and grape, but these approaches can be applied to your favorite species!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Identifying variants" + ] + }, + { + "attachments": { + "pipeline_overview.png": { + "image/png": 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+ } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![pipeline_overview.png](attachment:pipeline_overview.png)" + ] + }, + { + "attachments": { + "44f317f8850ba74b64ba47b02d1bae.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first step of variant discovery is the same as the RNAseq pipeline: we need to align Illumina reads against a reference genome. Unlike RNAseq, where we can _quasimap_ or _pseudoalign_ reads to figure out the relative position for quantification, we need to know the exact alignment, at base pair resolution, to accurately identify differences between reads and the reference. We can use several aligners to do this, but the leading ones are **bowtie2** and **bwa**. After alignmnet, we need to filter out PCR duplicates, sort the data, and feed it into the Genome Analysis Toolkit (GATK). GATK is the gold standard for identifying variants (_for now_), and the workflow can be found below. \n", + "![44f317f8850ba74b64ba47b02d1bae.png](attachment:44f317f8850ba74b64ba47b02d1bae.png)\n", + "
" + ] + }, + { + "attachments": { + "5ac06fc8af4b1b0c474f03e45f9017.png": { + "image/png": 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GiDfBkECspHwwQDwjroABUkQAjOYGgwOxEjClwMcAAR8DwIDnCWAAGPA8AQwAA8AAMEAADAADBMAAMEAADAADBMAAMEAADAADBMAAMEAADAADChLAADCgIAEMAAPAADBAAAwAA54ngAFgwPP0PRiTS5FIZHHA7WQHFnGyM3O1Klh6uaVJAAPAcEefZqfmW7BKZabml8bcS3YsMj+Vwcm2zE/NDtSgWGcCKXK52cDU7CSAAWBULAspQ28XM1OLbiW7OJXR05qbTUWq3ubNZ2Z00CNTs2P+A0Nc/53af9xI8oz3wRgLBAby1HnBnXRnp8zV9kAgMFZVLmamlsw31RKY8x8Yf69rHWmoVubH3gdjLDBbYFcFXCFjthCE2aqSMTM1V8jlGIABYFRgR2UK98y5YU0tTq3xKgIL1buLudSaBmI2A2AAGM4tc6NincnoujUzX3m684vM/abCjJyBqep54BndhZkzHI2x+ZlGA+NaD5Wr9OjhXvZ5le28Rr/09PYOaam1DhkJ5zav9g6zDXbScEGa1/p6W1lCxmZe8tYXNfaazx9u7e27qv+sXdW4qA/AmNU1amwq1ZKv1ZV1EDEWMpn5VCCjJbwwW7UGw8A7k5oy8pDxIxitRHda+9lnz7lz9EMDYwdDpJUefbFrG9N6tnPHKlbXc13n8D+qj31dXZqKmje3dV1kuspO6s9Ps6+r/3h/V1/epil564ua9prOxxc63tU/zDZxprblXdQHYBi1+ExqNqVvL1WswS2GJxxJTebUt1p3EdGttAF8F0aTkRrzIRg9moqxz+PH6UfOlOo6rh081HWuX6uR0fEu/bOHnEqVHCtjr/ZzbvNq1zktYYR6jS09zZ6uHVcxXP35m7nkrS+a22s6qZdccbh/B91sJSD15V3U82DMGVZTIDBgdKlOVlzXzs9ZgIFS1bKljH7hhdTYvJH5zKQvwejFStSDP/uOHz9HdDbPxzDA2HFxWFM2Q0evsRp8+Cqtnft2XNQsmdxma9e1/m1FwdjWRWr4q8P5m2YELC5q2ms66SJF6to1Y7Nz2F9gTAYM73UJBeaNurZClRpLISswMovVAkO/xlQLZkPHL7Pk2xZjG/vsYTrbuxaMa12d6OK5fB3tIdV0a29vD03gal/XkJaWsYnPwN+KgUGSwf5A69W8TRMCVhc17TWdRJIc6u3tM6PsKzCW5jVzYzY1G8noVshAqkI/ebYIGFXqsV3UrzGTykTwnRj+xpwfwbh2lZjwPcSR3ka0qqdn21owsIHSs0NXbQOMTlx9H+/Hh1ztP9czxI41bfZ0bevp1c0qKzCuoqHj1NgybZoQsLqoaa/ppC4MSu/xi11G6kPXfAXG5NSU7nrPZzKZVEY3pRYCleEWmLQ0pTJVcb/npvQOqMwUvosp3RMPtMyP+RCM3uPMW8CmFFVyS1PqIt23LV9H+y/qfkkfO+caytukgGnutwUYzBEgVpx504SA5UVze3Mnre6g1+vFh+DNq6RV6fUTGANTM5ozMEMbC939XlioaNBhcmpudsECjMX5sakqdKGOBSJab8EAbSxmtIZvIFWFsYya+Bg9ukpSJbcCY4h62Mc1s0jX0b6u40M9nf3Y09A86E7iehubV6kP0quZVWvBwH5zb0/fceIpmDZzyVtfNLfXdNJw/8W+ntaL7NLnhobO9fupxRjD2q91oU7SHtWBljHWfExiZhYrwA1NGk79XMuYqWt4csp966alBTMwxvJPwW5h14i0EGaK3vzk5GLEkMXJyQFvgLGt93jXud7e/m29RC5e7O3NA+NcJ0OAdQNp6tap2/1D57rwyfini7SCPk4Ozm0O9/dQ04qBMdSv9+FqaeKftvV39e/oKdg0kre+qGmv6aThHbhp2kaP7MGZOq4Nn+gXrTUYc4uRBTJ0YJJMpiWyZP3USX06YGGHR0g9u7hWhedmIi3mxLHdEpmZtMIN60fEoiHB2hsp5mbMTc5EItgQCqQKJUNuAatukRNpirMtFnxOEitrbTcCvg1yFzjZHBgt2ALD97NQMmQdRr5dkRqCMba4kEnN42c9OZmn0ZNY4WYz+KFH5iwd77WaqtXqC3k/jM20YDcEc2BKZQDXuS3zqZb8UHVmvqyN0RibX9Lq9zU5J4o6xbR/ci2nk5OMGazLs0trfmYAr7XRGJ9oJj9kitzGVEtkcc6aTXI7maUBAKNRwMDPOxWITK7jag7MzM5Pzc6t1f81wX2Tuo6ZPOXJllTLzECxlFtSptct9H6umYK6ekALVtT4MPR6Aaviwoyt7uExorhTLTNjeY73ovY5U8BFwMxp7jaWSphM+HamAjP1AUP+e+uI/B81kEg1AWMsgh+ljf6XuQXTIx8wNGnW7E7gtIyRY31rrGUqMlAiAwtj+bgRMiKmPM0Y0eymtoS8ILVQ5pDJwBLmcNLkeBuELJguNzmvuzZjRjfCZGA+YquXamxmvmicVVXB+G//xjrSUGA8XQswZqbsD/HOzGcGCvSF9BbpXM1FpjIDhW3K3FRLSX0a0IYoBkwV91xmSjPfBrCmLa5pUzAWs45c8YFcLk2GGcZ3YU5T7Izp5QytG2FsYaqM8b7F+cxY7cH4G8l1BEypMo+fnSqnzsWV+2KhhYF5aUnN0xGA/HdCqf+RM1IWc5q1tGjY/5PML6AW2Vh+L+/k7BQZWMBuyExBNxJrQ5juTS5kMkv5m3lRuUbEbG6v3q7lO0hzxCwjl8vktZ80An5Me1FqZjajZWYAuy0LjK+BBW3nnNZHhY+fte4/AzD8AobmIrRkqAzQKlJ7OKZ9Y7PYvWWve86QgYWlNUNfc5MWPZbEzTB8goGUEZ83k2IjHnNa9xQ9dsHqHYiBybX+NLV/FnTFm0nNR2ZTgbzN/KhcPWLWvJd6Qmt7zsYIp4V5IKOVWtMym8pEMqkF2g5OLSxM0RH+ual5bbx8kXROZVgMu/WLVQCGT8BY1DR8KUKeObWhZ1OpxYJ9Y4GpyGREG9iemRqzO5yAPeVc8PbClBGfFwgYAYfGAN5AamzJ5kjz3NSkodMDNFczxPEwbZoHBs0Rs7m9c6kB229UBRa0105maLZnCWfzU7Q1XNI3I5rrkzGiWTIRAMO/YOS86UlNV8emFuZbCvYtUc2a0WvgiO0B6LlUzg2dml3SRsbnUjMt82tUNbCQj9uWX368ffuzz96xffvNux4vdIuMfC8ZSm/eNKdrjpg1jaPPzgbsTrCA21DW7LUYAYZzRkSVvqn3xRlgLAYADP+CkYvW0yHANa4RYKrvy+S9mjCTsh/vsZTKvbCxOKCdOJsam9FaJZOqRsx6veXjO541y/afP75qdjNSZgCwjUT6D0yb5nTNEbMmMCZTLfZ9ae00ovXYXGoZYCWDbc2lXCEVgmEqWwCjAcAIzOM6MFIIBlHxlFajT5YRdZqLk82kJiep0YHbpMDkoh5waALDGEtb3bL92TVyx83HTV7GvLmZwF41yahp05RuXsRsHhj2g1b000iLMYdTm2TNxFKENEVzFPcxbSwmB8YYgOFjMHLx4RoEcyRSQ3+/UwdjFqMwNrmkqcfClO3w76X5ecMXoDLDXG8iAwWqamjv4xZYUDS26I1GYNZowphjgUhGTZumdPMiZs0hiVO2464Wp1oWUM7HmCSJMMYz5Irz85Y+huWrsXUE48ny5IXdT7oof+o3MHJhrBoEsykS+qNZNToY2OwY0/qjiEc92WIz6pTEyUZ0S3+OthXk2U/RJBcKVHVeGzP/N7oRtf3mli2Poy1bfm6YVb8wetJy+SZdUQvztPo3bRrp5kfMmsDIzERs8j0wNaOHhJHeiFnaF0V6pSIBehOLqflcm2SAYT2Zgn/AGE8+YO/AEEv/7lqSUX0wciNqGgRTGWrstOSBgRVrivTvU0WabSkcb1gvcX0aEdYTGyHPfT6id88i0zw5M/NsRHDLHZpTQWyqD6llhWH5mJHxMU0E19Cm4KbJ2UxGG1k3bepRufkRs7lY3dkA+2+ja43cbGSeJTvTktFiuwYWMhlt2H0OX9boiV7Qz7J0YXwDxt3JUMjmkbu/mRzcvbumbUYNxjEWDZeXPW82g7IeJWfE9w0sRVgA3lgLqWcH8vulBiIZOh6RH4fE8LE5URrtO12aH2Nc3HEXVb2AluothD7frpPB5kabq2gWzbHZ+YG1k8XNtEyRCwYW8gZkGNIL5cXRzwWsh/t9A8Zg6K3kWzaP3W2rcflTf4GBq+mWMt5D1WMdzA74GLYjFsnegbxYCsQMrjFbk2vOsViolv+ZcrH9Q4tU76I//XJOs4bGMlMzTtGY0e4iLyJxcT7AIgQnZ81FosfXLpZRTgNF59r1CxgvhAafDN3vKhhuklGT6FqigTYfOVbRmQJ9obFQpvioXJBQRBuuG5stHWUUmaKKtHrr7+gGk0WqtDG543/P2VAZR8FSA5Fc5JVpjM8cCzmWax9yMYtjkamMrfGbxXUK1C9gPIebi8Hko66C8eRv+QsMGo4XWJor/byn5k11tG4iFQRsj+n7TfEWk/Pz60VrDyzN67MYfp7jIj9VasBtIb/+HXM7szA/NVvO8hljkwv5k/wbuSyw+PRxlrw2ZWwpMNWyfkENzJCI3+I36xcwJug57a6C8eWv+w0Mogh0iYtib2TMLWInIrCQrxLMQF/7ig8LRsrX7Mmi73tMRgKpFkNTiY99x+OWqZKr3SRkfJ6ftSXsGGQWIpOl8CBvRQXwTRS4Ckus5VsotPdmWKdA4fQLA/rl1kRUzU0uRTJTU5n1wfEJGHcTd3q3XffbHhhf+RD5EAyqYrPkLbfMLHuHeZK9+UbfRp3PRBbXaDWrTPWXQsdmIlpzQl75XttvRd8QpK/ZRVjaS5HILAnqWzCnTIyl/xGZXzXVQ3JpqvT3X66tpidpUiQ0diGSy712A+RtXezFBzLWayXNss4EfayfxsZSVDJWvGiXW6Cv0GYMwV/mccEtlmy8fALGA9SKeq5UH6yB0TdraUehekyGMEY1NqI9b8LITNG6mBjoA3r4E64r9REzMrJlPdIxQDR1wUh7qSDpD4mtdEcgYqRqDsklqUb+J+KZr5P3Sf0NbNMN4MtMrhdZT1o+bbRlDDcp+J82pcOc1YvreY2QIbZ7AfxiSt1t+mv36HXNqG8hf4NRlmC9WWrR6nMytjDPAjXGUgMRZzMy/ZLo/dzU5JLRYORCcnGqM1P/KyHH5bsgUewpPZ5jkrgXrJFaWJibcn3qwzqC8aV6ytdRM4GBIgGtn4Yp09yC7g84nOWG+BA3ySuFFiG5KEOGrYmT4fZdzE1pI30DLK5wTnvrKRBwf30ziJVqCjDQrDaoEMmbrTYvTrYc2XLz5s0tuVTzQnJZqviAm67fxaQW0UgH+rElqQeTVGEdAAAjX16dNuRKI4ExNm8GY0zjIeJwGsLVVfZfT9UckotTrdryGGhJB2OBeEdTGhC+WwbA1Vipux94wW5ICBVnwYXjuQw+YOq/WvU7GPo84Sz0Wo8xn424k6o5JBenulS1u9DXLZiiTlJGw2QeNTMYoeSgm0GExcFoX0bojXYzGKV7dr0PxkJEr9rJu69aSxGYdClVU0iuC6kWl4Ep3XLLLE4uaBGUMy3NDMZbyYnQC+6GhFiDcRItt7e/gQbz0ijVZngfjEWtWh1bmEpNRfLVrPJUTSG5VVxPCeUWR1skAx7a7FHVWB7DP2DcH7o7+VwtwLh+A2cu9EF7fhol2ozywFDqAIbVenuzsx5NdZ3utbV+9mRV1jP2CxiPJtufDE3UAIzB1WNrfIzSbUZ5YPB8HcBYXDNiseiCRs1UJdX1OhEKm4exKvTV+giMB5Lf3H1/cncNwEDTyeR1hF4rTOMr7rUYnMzXHow171u4MypWnVSLy1zh6mizAdTMYDCPerD6YEysfpBMjg++sVyQxpe/7l6LociyUHswxjKBgbyafca7qa7XRqWW8i8/1sxgvEWjn8aTL1Tfx1jGfncyVAiGqz4G3h8Vag4GCdswJjuea3GtZnea6l3bHbYZ88YUvmORil4PbAAwnqM9UrtD9l7IeDT0lnMwQm+gN5bR9ZN5YPzpqqu9UhImQ609GFhxUy2RxcmlhcBUxD2FmnSW6k2nISMYh/mFJRKdPpWpWs+wf8YxaiNkgK99ero9lOd8l4w4LBOMhCzLaaX2YJD3cyJk3SKX/YAxkupsLtW77vr85s8R2vLzLTc/v+su8h3dtYXuQo//8uYWtLq65eaWmxXEUpHw9UxkZqB6BVVHMP6RF+XsoCFfMHaWjjgsEwxRtiZDbpAAsu133LH92V/gNuGO7Vjw9+1s1030Ofn4Ofrls/j7s16+BYiVyhOTxbS6WsZ5ZYLBEzDkROOC8eznmIrPbz67ZRUxMFa33/H44/jjF3c8/uHHd6A7tn/4dQADggjX9tdSiTUsGNvJe9/YWFrVwSBsMD62b8dE4LYD/QLAcMXHeG787nJ6dp3HSiWTg4OhgiBCl8FQGBhyvDHBIM3D6s+fpV7EhxiKDwkR2/Hu7bi12LJly13ojo9JswJguADGC6GkzdlzbE64VhSMYyTvxwqCCFddBQNpYBQO9DWQj/GLO7azfqePn/3F9mcpGKTF2PLszS3b71i9+ezHH4Mp5QoYzyVtz55T2TjGMTQdCr2GThYEEboLhmRNRsO0GNvv2v7x42yk4vGPt//85zcReW3p5s3V1S3bt//ic7y5/abTcQwAI3/+nIlHbat7JWCE0Bskd2fHCwf4Vt0EI6GDkT8E3kg+hs/FN5MhJL/55ESoBmDQWKlx4mU8UMZkO+WCIRpg5A2BAxgARplgDCYHHxi3G3deWXQtCyJcrmIQIUJZOUeG2nhgfP45gFEbMF4IhcbHx5PjNTOllgvB+MrXKwJDkouKaaBPbqgZIgCMGsRK0cbCrvtta8K19ZzvZPuNAjD+tEIfYx0wTGQAGABGeWDspl21j95vdz6ESmKlaHftcr7z/SVUYa/UemDkhsABDADDw0GEocIBvi//I1RVMIwhcAADwPBoEOEXciEhv+dmECGAAWDYBaM6N3QlJxsdnF5W6KBbYMTAlAIwqt1isFdgabzU61VtW77uGhgS9Eo1MRjtx7BXe2O86kGEJOlptEw+HK9//E07LwDmLTsD3bUAhjMwxtHyON51vepBhCTp69fRRAVgPJe01S1sJqPcAT7ekgsAo/nAmEbHjqHpD8hEA9UNIsQpn0SDJDrWMRgTE2UvVQYhIQCGUzDa30DYmBqsdhAhGbW+kfzgunMw7k4+d7+9qKwcGY6DCKMNGUQIYNgG4yT+/gH+M1HtIMJkcgI3FyfRScdgDCZfeM7mkuIGGY7DzjkEYDQ1GKE30PXBafRa1YMItZFrEvHkDIwXQhO737IblfVlh2A0+ItKAEYZ3bWDE8nB9uoHEWLX+43BwcEP0LhDMJ5j2Xu0mi2G/mprEAEYTQ/GxNnpsxPVDyJMDhIrCttTZx2CQQ223baWFM+9o9GokyGsfvHHDSVf9B4YZ8me64NVDyJMJtlYybhTUypEXfxxG2D8luPuWt6aCw+2GM88/UwDydPPeA6MCWz1L99g7zpUNYjQxOLuJ6speQsiO5pwDfkBjB83kn30Y++BMUj97hvI60GE1QoJWdtbW58pOgEM74GBXeI3ECxnrPXWhhXkFzCu9VC5SncM97LPq2znNfqlp7d3SDuhdcg4N7d5tXeYbbCThgvSvNbX28oSMjbzkre+qLHXfP5wa2/fVf1n7arGRb0JBhNHLcZf5SaUHWyIFqNOywA4BGNHF5VWuuNi1zam9WznjlWsrue6zuF/VB/7uro0FTVvbuu6yHSVndSfn2ZfV//x/q6+vE1T8tYXNe01nY8vdLyrf5ht4kxty7uoT8Aow/WmXsog7dMqffT941Qede4+3G3rXOc+hlKEC++aUl3Hte9DXef6tRoZHe/SP3uIdlIlx8rYq/2c27zadY4cQqXX2NLT7OnacRXD1Z+/mUve+qK5vaaTeskVh/t30M1WAlJf3kU9CIY+zucUjNAyTnA5ZAeMbz4wmBx/wO6q4JaXs7c+7LecgsHJWeRTMHZcHNaUzdDRa6wGH75Ka+e+HRc1Sya32dp1rX9bUTC2dZEa/upw/qYZAYuLmvaaTrpIkbp2zdjsHPYFGO2vOW4x3rg+mBy8vmwHjIpmCaFNTsjmPD3fcghGsB6LU7oCxrWuTnTxXL6O9pBqurW3t4cq6dW+riFN341NfAb+VgwMkgz2B1qv5m2aELC6qGmv6SSS5FBvb58ZZc+DMTF9w7kp1U7DZU++UQswHk1+c8Lm+rDfcmhKIb+CgQ2Unh26ahtgdOLq+3g/PuRq/7meIXasabOna1tPr25WWYFxFQ0dp8aWadOEgNVFTXtNJ3VhUHqPX+wyUh+65nUwJj4ge260OwRj2gjLrT4YDyQf/abdudK/5cz59i0YF6kfuy1fR/upxXT8OPW3iVxDeZvb6NbFYmAwR6CH7DdtmhCwvGhub+6k1R30er34ELx5lbQqvV4HYxDdODbOXqyrAIyJWoARmsCNhs31Yb/8YVOBMUQ97OOaWaTraF/X8aGezn7saWgedCdxvY3Nq9QH6dXMqrVgYL+5t6fvOPEUTJu55K0vmttrOmm4/2JfT+tFdulzQ0Pn+q95HwxMhnMw2tFZ+lJHDcB4i2XPlvv9la/XscVQRZGvFRjnOhkCrBtIU7dO3e4fOtfVdY4MKlykFfRxcnBuc7i/h5pWDIyhfr0PV0sT/7Stv6t/R0/BppG89UVNe00nDe/ATdM2emQPztRxbfhEv6gHwQgdIx6GmYzynO8bNXO+70/u3r37AVtzGeamQK8HGJx5GoUqg9HY47B17pUaJ2w4BWP8DdvdtaTH1nlf7ZPMigrZeMH8S44H+AAMAKOADecDfOOD43ad74rk0Rdyf6sVRFg3MARRKROMxBcbSBIe7JWaJt7zyWlHsVIv5aYHnPZVVeS9FiMqx7iywPj2VxtIvu1F53t6GSWXIYiwzmDESFwvb7/ZAFOq9mB8ybb8nimI0MbR/5zKl2opP/ILGGzFmmhcBTA8C0Z5Pkbo5PTJkC0fo6LljO3PRJgn/9Q3zndUnxeUBzC8AcaN62j5uvNeqevXl69fH69JrJTNmQj9CUbMmOotLKoAhgfAYOIQjND1G6Fk6MaNmoBhdyZCX4LB502zzgEYde+VYuIQjJN05Jv09lYfDPszEdYdjDRXtmTzZ5QOl3DEn/naE+XJzs0v2jzwMpUnnMvmd8s942uefR9j0AdBhGXMRFhvMNyQaEx1E4w3U7ftHfhKispOx1y8Xf7JXgTjGLoxOO7Y+WZghE7WAIyyZiJsADCwr+EiGO+mNr1is8l44nJqcwXtxRNvbir7/K95cvoc4n47BWOcvo/xWi2CCMuZibCuYAiSIylctYZ31ZS6/ebO1Ns1AQNf5/ab/gdjEH3wAULLTk2p5DKaHpxGNn2MR0NvVeB625+JsL5gOBPBvhnlAIydr9zGNXlNwLidevHt1LsNAMb0NHWgnb7zfew6uj5di1gp+zMR+hKMuH3H2wEYm1NvX76dulwDMF58ZdNlbLc1ABg3bqA3lpedBxGW4XzXXvwDRth+V60DMN6kDvXtGoDxthPf/Wu+GMew/zA3mpZi9VUHuffAEMoY3CsfjHepqm9KvVh9MDa94iCFr/liHKMJRo68Bwa1pKSs7ePLA+Nt2iN1+ZWdNh2Sd52D8SZFYpPvwVh/ne8SIXp/33TalzwpP/ILGOkyAggdjWN4WnwHBgQR1ggMtZyQcwrG7/zHDSS/03hglBFEePfubyYHd++uaCTj0YZ1vssUiJXyNhgQRAhgmGVu0pCBpgYDggjrBUa1gwhfdNYnlUqlMpHIY/hjc1P7GBBE6BcwbAcR3mYDEZsdgvH+e+g9/O99AAOCCP0ARjlBhE+UO3BtBmMvyqRSs+ijJgcDggh9AkY5QYSVgDGPPiXtTaDZW4zyggjvtjWPYHMGEVYXjJ2pzS/aDiKsBIwMiqRSH0UimWYHo7wgwgrGMBo9iLC6YGxObbYfRFgZGD9LpT7de2tvY4PxlfXlbtNpX/Gk/AjAKD+IsCIf49Y75Ep7GxyMEgJBhD4Bo7wgworAmEV7H8v87NanTQ0GTNHpEzDKCyJ8YtNt52CkHnsPofci7zchGN+qWxDh7/1VwwYRVn0cozayKWVI84Hxlbwgwukb6MZ0bV5Usrtqa1M4394MIvz3cmD8d40cRFgajNfsd9dWvM637VVbIVbKZ/LjhgNjHL1GpuC5Xot1vstYtRXAMMtAJCcARm3AmEbtNVucspxVW2EcI+9V1VTq/dnI7Pv4E2YirBUYtQsiLGfVVgAjH4zArVt7b90K2AEDZiJ0A4yT6CQ+pf2Gx1ZtBTDywXj/1jvvp95/5x07YMBMhG6AEbr+Rq1eVCpj1VYAo0DRSbQrbjZ+VgswGmQmwkp7pU7WbH0M+6u2AhiFih4hseBUYCbCWo1jTJydPhuqhY9hd9XW+oOh6LMxB4WSx6pBUSw8ijx5XnAfjPdnawBGo8xE6ACM3zJC9P6taQ0+WzF9/+LLzRBEKGnrxnAlF5BREnSatXQeBUE5iJ9RVHERjACJeU19gmoARqPMRFhRrJRvR46qCgYvZ+2CIcnRIMeH5TwKRBm3OIocc7NXai+KZCKoFj5Go8xECGC4DkY4igwwFF5klHCiGFSpdYWNJw6p9Bsny6StUMIEBWp3ZbNIickxvJmQVRfBeP9nt9CtiE0fA2YirAEYv+WmYfQvjvnAlBLkhAFGmEzVjL8qaWoycXhXgizPSlaijKoorh0alNNa84IvRFepVHG7E3RzgC9VhvMNMxHWAIyvuBhE6I8J16glpIEhxxQ1LPNYy2MKxQDvyuIj8C4JHyZph+K9OTC0FqOEHfbM7/wT27I3k5N/4kn5naYGo+IgQn9MuEafnMpxpHmQFeJyJJAiKkiIY1XHjQjR+TTjxxIMnaz1r1lOrNTqqk8t3iYBo9IgQp9MuEafHLGXghQApvFBKSqHKRiStoeof8wwpcJlg+HNFsN0pb3QYtg2pZpiwjX65LKiKCqcTNzwLNZ+UU5wVPXzweC17ihJjpUNRpk+RuaTvZ9kbPkYm5k4m4mQXOlne/d+9H4qdRl8jNqA4ZcJ12Iyn/MxePIkg/h/lvQzpQvAQGk5zSE1QZxtjkASzIGhEqPLNTBm0d7IXmRrgO/2pk2pNzdt2ukQjFn0TuQT9B6AUTMw/DLhGi/Hc71S0XRYTivE3ZbC2JpSCsAQ2AJjUYIStrXS0ahMEohKpAWJuQfGPNpLpu64VfVxDO1KsygAYNQKDL9MuKZQz4KNa/NCTIoTa4mXEjziE2QXYn8EiQ5h8AlJogMcSMWHqiKBSpSkLIrLWffA+Ig0Fqn3H6s+GOxKRACMGoHhmwnXYrLqQsGFwy6OfNcsiJBeaX7v3r0ZAKNmzrdfVm1VomLl5caVeP7lthhkYv7AJ7VpMd6PRFAEwChn5Ls5ggj5aOXlllg/VKpsH+PTmvoYKQDDnyNHTfdq68/s90pVBgbtlfrZO7iFAjAADO+DkXrs072fZmz6GC/evuwcDDJisjcyD843gOELMGoURGi6EoABYNQDDG/OK2W6UkMvTglgNAIYvn1MAAaAAWB4AYz/679YR+RnGkieBjAADNvPk5fWlR83knxxFcAAMLz/PD0iAAaAAdKYYPzjhhIAA8AAqUgADAADBMDwOBjhUk8DBMBoAFHKLRgJwPCKhN0AAyo6a+GMl+xsSkwWodR8UqfZASOx/mx2TStiiYlh1whfLkkgVZLSTyIAz9OxpI2JPGyKKrvyuipIxZIwppqoBAwFnqe1JSUrrj8PkFqIjRrKDhjYNo5BYVq40jEHLEEV44kGo9TKCvbAUGVwv91Rcqn0EwGpumTZugmVg4HicliB8sy3L6NOzCI1Ch1TdRfBzqOzB4ZCJ8IDMZVI2lmJ8HK5HjuI+1ykkUtg0MSAjDwuooKjM2MyOOB150JxDQySXBj8DMO/iDrlgpilBatIgtSyRhNle1V8wDZoYVmOQZcKdRRwrR92rtt8FJckVDL1wQJrccKW6ROwnyhZ1S3BNzsbKk/WDo5XYleSCfvlcEzkQGopvCiRcs/ae0iBMh4oJ7HlpKXmFbY6ZKLS+l6IRWWQOkjads9HoLy6jqx11dwS1abbr9hNEWMSSC0lIZZj7gQcPNJmFrDTm0SswZBgfBakeYSXeJtghGXoUARpGpEslp0q0mJAbBRIM4HB2QQDXjUDaSKxCge1BoOHIFCQppGs1ZLP1mDAq2YgzSOWrxsFilldYEuBNIcoUSuPuggYvByFYFqQppC4pd8QKOqoJ6DIQJpABOvXUwPFD4c5c0CawJAKWzcBRUNCgvCqGUgTcJEu8tZ2YB1fHdoMkEa3o4q+iblOECEmQ4JOW5AGlmDxNzHXi67F1hS8tAfSsMKHZTldTL/XDTsXyJtJ6TgPb3+BNJqIiagsR4s7CyXex+AS8NYXSINKWFxnrK7ki0pKVmzwN7v0dxLT8JJbE0ksuP6bFQEwNSUNDIi0BwEwAAwQAAPAAAEwAAwQAAPAAAEwAAwQAAPAAAEwAAwQAKPuotoBQ4E3GAGMJpOgnJbEIKcWAYPLiglJlgAMAKPZhKz1wYJACB8GGJiImB4gAnNBABhNKIpUYkpz8DcAjOYUcd1VFOAlFACjWW+cK77QByweCdLE3bVKuogZlQWtAGnqcYw4mFEgAIaFZNeaUzHopQVpejCQWmBORWEqLRAAA2lrNOfMKFhHCgTAYMLnzKkEmFEgAIYugm5OwbyLIADGGnMqDGYUCICRL0Ewo0AADCtzCswoEAADBATAAAEBMEBAAAwQEAADBATAAAEBMEBAAAwQEAADpAElG5fCjbCakhTPKpWBwQXFGCzA4/sFhMSgCzOfqLFoAy01Fl1v5dVSa/A1VEk0u8QqY0MhU6uE49lGmFtIyMZJwxdXHIHBkemXwqSyAfG54GafKIJUgVKT+HypkSbcIupdNKh6PTDipLWBaOyGEYE0/47nBhKijTeBChcuek/FwSCz9SVgyoyGEiUhy2nFKRfpxgvNJ3MoCeWBgU+BqQEasFPJoX4r4UbkAktCjqplgYFPACuqEe2pqJxwpD/hxnyVCzcAUjlgBIs1MSB+J8PJ2+1c46qDGpV5+2Dgo+GltgaVYBHjYT2RGnhCX1EO2wcjZt2+gDSCSHKs/Famcd+JV6Jy1i4YCqxI18CC7aIym4x42Sj5SSzvLlCktU2D/jRyk1GmnZyWG3kKeEGO2gVDkqGntoGFL9dQbmRLCkvUogUNFCkIGNlrYFFluUzbq7ENCMnCcQhYF1wUtKexq0ihPDAauysmYWEgBZqxIMDJKK9vxa4+CKIkSaI9Y0MJVq17J1ZuT4FosUgvgAFguASGsRSurSGPYNWsEq7sLlV/gVGb/mJO9ypVVf8jWDiaipB3iA0z3tJWEYr6sHm/COp6ibhQStUAg8TjJbIcH7a3SLpYpp/TKGCwBVmiicJuPi6asJtAogZc8HoXtkr6G1QS+MBbDYSGsRVKf1Vt9kuErQ4TcQICe/MrLCr5+TDVn1ltaFqlI09Bbdlx/I30suZ/VcKSV8AQNSCUqHa0wrFah+CtcnpxCNoWA0OrZjhWRSmcXhPo5+oZMH5QOXa+wumJcpxew2mn62AUpOERMHJvjTmsKERb9U6lIup3SktTDYdV6xySh05/tVsdWR2mkosZC4zndfRko1JeGXFankSixKwQyVKa0pqvQUcd69UAI6xXKIJEakO2uEKc/kBfeKP1XJBUC2GO3Yac1np5RIx4UI6RNXzoola5c1mtQU8iiXL0dXNJJfWmmCAlIeA9JNrVdDp7RAVpeAgMkkQWN6/ZGrWgLoBRPIeGeVAJGDFSFkzrhTUFg9YDg6hcOgeG6atiGehTBzDUgjowLUfjcRrJizU3LEq0ucN3FiObHBKxQmM/nZUCaRlFOSrH8AkkiDd3Lrt6lOcStEXHjZEYp4yRl+9ISrKED0wj8+nsEeWn4TUwSHHRmpGLSVIQ33IW34uYNe1AnCRkpZiAxISSTUhxRRElan9x5C3KRBzxZCfrxpCk3EvLvKSqMUl7v3BNYpp/l8CJkZON35FK+k3YJkdOLwCD9GcwMOK0RPHFE7wBBvmVHIf3spFjLm50wvAxKRE08hlkYKhxc5ZZ9ahpPVN6fBY7QE0EyR9eSCSya8CQNDNPYmDkfbXsaqwHGCyzSBCx8MQ2lAUtKFemyk4MLJUdIxGYWTEnCE1ZUjAiJYcjf03nMrUlKhSXSHOdYFY6BUMhkUtp2nbmnU4fZUEangMD3zkZNI3pS2jTZb2iph2klOgu/I3uon+zVAHIfbHVjhSk2+ZB49EmotqRFonpeQjTJjz3O6cZ+Ap9cmRnHhj0D31iMaJ8CluELKGBoR+S1nfGjZVetQ4Z8gIxOylNjiUvvaVzzXmQnqRpPU9STBhrnIns4UZJ/oQ1YJBABJ58SGu+aql6BgxWEAIuwDR51ZzcHCsBklueOWj0g4GRZcpg1EfY7kqYz9VSDmtz3QgKEoJhBkZar6+0sjNOp8+pIA3vgSFq+AbJ0sG4zsAah12i3A5SkjEumEXUp4wT/VWjrK2kYESppvLklrFmBw0LhZym4BSilokZfk6QE4W832MKSYQnLmJaJXaoJRgxeskYuTpmScwHA5u0tGHPUu83RjzlODkSXyKtVV0EQA4fFadaYGijyAokyHHE1hY4cpYSNupP/CfN8cGcG6KDIWLNwUa1Dob5K8mQJ8BQWGWBWwzyiJHedYs3dWIkXXtz9Q+zouhwoxb8TQ4znctaY1rbkUSypDaMMjCkAjCM07mC63sYDBbnnCWNBysP0w5Ji8Oh5cpRhdQVgLWMpMhFPSI0rde/tDkmKWStEtPzkEb5FwsmmHknEn3N0hrGCowY+5FmBit9Oh8MnibGaZUWzR2rFOneMN3LMzDSOBlBb8xZdLOY03k1kdUtAx2MLDIfooOBCWIurLTmK7m+4AUwEK2kjKKUWI1N+o1yYATZ48mSLGtgxOVYlpaY9j1NwTDO1TMg0k5gfGIsq4jWYBinF17fm2DEWZ0RxqZ9Olceph2S1j1D75FZ+mYwOO0nfB6ZN8zwpiS2wbSyMDHNHNOsGNPvSMnG07KWnl7DrAWDmWjEasInhklrbwaD047WHHKqqUzRWG5EPTlq/Ul8vj8uslTj9AQhSA3C3MNVrJxviSCKDzDKxfTV2s2vBxi8Ps8CrRQ0BrAraAJDYFVNTPMpNMcrQc0ddtOqTDuojHNZelyOGGadW4Khn84VXN+bYKRJrplqYkcV5YFBd+iqaQ8MKSEUAcOcmAGGiPIvxpOhlWBpMGjtp4Ehkd5HR2BgV5/kRJ9EwACDMw2JpeMJMxjIGoy0TBoio1xMX70DBmn6onGRzGOGC4+YqlmOumo5MMhEAjwn6uMxfFZlTonCbjrKZ9PEMDWdy3yzKK1k4oQogZxIq8A1YOin07IvSMNzYHDUQgqznjxV0B++aYdNMDS/zRipZpUHrYIsEsvrY839rtI2RNFaZUGrh9aCwankMaisfqPj0FZgpBmb+FCF+XgCoZHtpVYVF2Sz9wWLgEHdE6NTZT0w4rRL3igX01cPgYHEqGnmSyGs90ywt6QTpFyUhG4g0gFKsovXRjhEWUpoJ5jOpfUH8xckhTXB0SB5SZsmx5IOsgbIOF2gjzY/DS+BQWw8UlSUBjIGgz1S3Vww7bAJBq4BYnTURjScb17r87JILA+M3O+crA0lxzVfkS/ifOuuEansg+QQKzBEem9BdiTp6EqQqjJO9ipptpenGAYLnG8OmeDGzrfuehUHIyszZ0pa89UzzrfmC4iikXJWFHnah067sVXWry0ERZ5V4ir7WTUcK3xfYlDNP1cbMgyKosC6wsUs6ZhStORo0jQc0Xw6z1uk4bWRb4os0ROJdVxmSY+saNphEwyiw2HsYujv8ZOO2TQLy7FILA8M0+/4fBHX01rvUThdtLuWNiVk7j0ytXcRUwrl0lVzR2KCZSma1t14MW1kmb1BaQKDLC8uhqMyHd5aFwxFZl0L0pqvuFzS3gHDgcS0EUqxsmtUdHotweCZR8DGvLBBgbUmzWveeJg37QhqFWqCRAAp4bCi7QrSSCA6mRH9CZHBz9z81Lj65cNyOJifejCv25qdZ/5dkLCPIQg0XisYJlaoXiT0UvQPi+YSonFtcu8EpyWVO0TPGHEhaPwDbsrCJGVaE+KGI6ZIpIuGl8xZFqgKCNHcxGW4QU2LKEY7hRO5ODL9ECXNgh3oOEfcVC6mr1ixgv4FIytJeoPaLGBUW6SahFK5necqzM0UjSo+BiPKxifoNSp6oBWdDmDUV7gqzLXBOyoHD5lSXpBGAiPhxwnhYu7PKSA5mlEWwGhYMATRh/NWKEG3bSlFdDRrBYDRsGCAVGaIAhgABgiAAWCAABgABgiAAWCAABgABgiAAWCAeB6MRhcAAwTAqASMsAjSwBIGU8qhKQXS4AJgOAMDWgxoMQAM8DHAxwAwAAwQAAPAAAEwAAwQAAPAAAEwAAwQAAPAAAEwAAwQAAPAAAEwAAwQAAPAAAEwAAwQAAPAAAEwAAwAg8rqrT9uJHkHwKgaGJk/bCD5L0sW1R8/4UV5e5Mhm8s5749WqwWGz95CkVwHY/UPy3yGO3fWSltevFz2Kb/mOhg7N79oN7dUnJXO5lQqFfgoMvt+KrWpLDCq1mLIlVTUEufWQaK9ma0598FAZYJxOfXKi7afNZbbzsHYlNpcfzDetHsHFd0vPvkT9M5edCsAYPgUjNuvpN62W4NuSjmtQWldnXrlzbqD8W5qk82KgJLs9F43pyIoghuNW58CGP4EY2dq86ZN1VcUhuC7qXfrDcbtN3farAgqBOOdW6S9mZ8HMPwJxubUi5tTO2sBxouv3H7ildt1BmMnzsGbm2oBBtqbSj0WicwCGP4EA2vJTtt2dEVgvI2bi9upnfUFY3Pq7cu3U5drAcZ7qVRk7zsIwPAlGO8yD/PFGoCxiV5pc33BeLMsh7oSMD5F8/hKEQDDn2Dg2vPy5c121bUSMHC7hC/15it1BeNdeqebql8RbMZ+9zuzmY+wpwFg+BEMVnm+abMKvf2KczCYJ/N2mbaUy2C8TXukLr9iMxO3Nzm/21TgU4Te+QScb3+CsfPF3F8b/nMlY4E7TX/rOI5RG9EGQYgAGP4cx/C2ABieAmPjscHBsxvZ9nQ7/vPS2cHBY4VgmHa+NPg62zj2sgUY+k6aFJaXj1UTjOaKlTrxP/wnXpTZjCGPGTt/rbT8pafB2DiexBJi6hwKYU0OkR3jG/PAMO88lmS6fjLZvhYMYydJip34cvXAWA3+6siBtvN+kOEDR371kwoe11X+s4e9em8dpn/kVg/96icnHKmkl8A4mQy9+vp4cpxqcXIQoYnk+OuvhpJn88Aw72xPXqFNQpIcXQCGsfNl9vkyxu5KFVsMhITvjJw+7w852HN6ZNXh0xo+enio2x+32fknnwmrq34HY2OS1P9XksnXaVswjV5PkioeK/hGExh5O0NJ/OfKYHItGKadJCm0cZo0NNUFg5oYhx7u80G7sbKC/zz02V+U+6SEq6OnV3zRLnYPr4yeUJ2rpIfAuMIUN0T0mLYFWPtphc/0WQPDvJO2Be0YgPFCMMw7SVJXQsnQyVqAgVA2fuH7K76oT9v69l+4VsZjUvkjRzb4o6m488DRw6sVqaSHwDhGVR4NUteAtAXtTLOTzJHQwDDvpG3B4MQxfE4BGOadJKkryfaXrtQGDIQUdWR0pccX1sbw+ZVRVbD1kE6MnDlwpz+wWBl+KKgi1ChgTOtgDGptwaDOwLQJDPPOdl3TBy18DH3ny/pvNQOD+uJPH/WLGh08coQvpUZ/ERz1iffU1jo8cgJVLF4F41XaFpQCYyKJSoPxKju9xmBgwyP4q7bzfjE8vr+eMinPX9jf55M72f/QZwJCjQvGSaLDpcB4ScdhXTBO6jjUGAzaboxsODTsEzpGv8MrlibU6LB/7uGrvLKKGg2MV5PJl2h37EnyZyNR6QkyiJdMvprXp2vsfFXryF0fjInkxrqBgduNzy48fNAnJtXho88XmFTKoV/1+MSt6Dmwf8QdJjwHxku0o5Z22r5EBzNepX2yrH/WAMO082Ty9dJgsKTqBgbppvqDUX/0Up1v6/vN0RFTe/eNC6JPoO55+KHnVYSqDgZflwE+qsnTpN1gbcHGEPM0JvKGx3M7jbZgPTByzUq9wKD2yEOdB/0xKLby1JHfJla6OjJ6/k5fZLmte2VU5ZC7UgSMKF8PMF5OJifGqUdxlrUFx5LJ8QldnfWRb2PnRqMtWA+Ms0azUk8wkMI/fdQnlvrwgSOHxV+d8Udmuw92Hv3iCbS6WhswJDlbBzDQFazwoWmq06wtOBbCrLyef5Cx84rRFmCjatoqVsqcFDGqQhvrBgapg1dHRtuqYLKv7PtpV9efuznyds+Ze/d0uN1cuJ9NIt972i132xYYcTkq1AEM3Ghcobr7kh7th65cWXuQvvPKxtwetBYMtjOXFHrpJVRPMOh5Dz3sehfPvq7+zm1d/e70DXcPdZ+6dOoSlnt3HHI1JMrVbNKW7c7TboxYlAWGKFuTAe9jVAgGPvOzwy5HGl7s2tfR0dl1nxvDAK077tt6SZPue3rv6fBkNnHz09b38AUeVU+KgMHJshxWAIwqgEFkZPSQi674T3+K//y5CxrX0XHvgwYWVE6dOrXnvp4Vb2WT9c7Gs+47FqXBEMj8rmkFwEBVmu08e/hop5vuxraui5WR1ta379QlK+ne13mm1TPZJEzceaZtBFVbio1j0JmP0wAGqtoyAErw2qiLXPy0IoXb0Lnr3j2Xismee051eCKbRA4c+VVQQXUDI0zJiAEYVV0fY7XnyAE3XPENlVXEHae23rP1Ugm5r7NiV3xD5e3F6RFeQLWQYmBIsiUZAIarYGCb9fmH9lcOxg+dW+49rbv2nKLeRAkwtt7TuqOnbtkk/WV9+z87gWolxcCIa+tIBAGMaq+opJ4YPT1cYSfmD53VxCsdZzr7SrYVmht+6VT31ksdHXfWPpusw+zoYR6huoMh6ius8HbBEDjnkv7qr5eWtPifl5Z/+Pt/y458Na14BgwiwaP7K+mm2tfV2VF211FbW8epS/aoMNGxtXOX44EYR9mkzdrK6IiiIOQBMDhj7aGsTTDiknOJHv2T0hIN/0ZpiYa/bUfS1uOX9VuDT+EPP+UcjPu6/rzscbzv79h3yZHs2dfbUats0nG8Qw8/JKBaSzEwBAOMPBWqkin1Jz/5D0vLn/z1L5SW/+CfbbQjv+4hUyrnio/8wOlLf+XaKB1Dj9zTfakCOXXwqbbamFKnj3xWeyzWCTuXLckAMKoIBnn94dtHDlQ9RrC1+9SlimXPvbvOVHtihO6DB0dHUH3EAEMosG5MCzmahsABjKqCQZ7DoRNVnZvqqV1n9m11AQzSTbWno6OaAB84+vRfIFRvMLh1ljjNeaoARrXBIHLiG/urNDdVx6l9Gy65JaSHd+uu+6o05cPpv3VIRcjbYOSGwAGMWoBBI0Zcn33gzt7WS+7L1gc7d3W4/IJiW9/D106g+oo9MIyBPgCjNmBgd0MZGT3v3nulK0O7HnlwaxXAwO3GnkunOja4F0u/sv9CPLuK/AGGLAAYtQWDwvH0Q67MTdV2vuPSnj2nLlVRHtzV+VSbK1kdHckqqP5iEwweWow6gIGQ+p2HfrPSrp2nzpzZaiPko1LZ0Hpvha74Ss+BI+Iq8obYA0Os3McgcyznyxUAw54rPnrwkPPKuGNH6z1bq06FYVfdV4H1d+jI8wJCfgIjhgCM+oGBkPDZhf0HndTAGzpO1YwJzaR6ZNd95VO80t23MnoCeUkMMJSC8CVLLmyD8eq08Tr2y2xTA2Pi7PT0IIBRfjfVM6fL7PoZbj3Tec+l2svWB8t+eeNg59HDCkLeBKP4yLc53s4mGNNJbS4oZMyQSWmYWKa7brQDGOWGi2Dbe+RCp/12o+OH67x5VP2GY1er/XZj9PeDXsPCThBhXhyqTTDIGi2vatvaxMsEjInrCF1ffoPSAmA4cMWDTz9kQ9+6h3o7LtVZNty7615bAYJPjZxAXpRiYGSNSCkFlQ3G68mksZKLPkMmAWOZzpaWHLyOrocADGdsnBg53Ta87vQZ9+3vveeSB2QrGd5YN2rwzv0XPhMQ8hUYolVsrV0w2pPt2gTNuRkyMRiYkA+od3GSfgUwHMofHHm4eDdVx6XqjOM5k9b9vUWtv5XRZ7KrCPkMjJglF/bAIDORb0xqQOgTLw9qK71QOfYBtBgVueKffcfCFW97ate+Sx6TrQ8+YsXwnQeOjqyueheLku9888gBGHThyPZkSHMxNupgLJNVLaC71iUZGf1+/kt/rTvu3XDJk3JqQ2ue9dd25NtBFXlbioERteTCHhgTZBG915n7bUy8DGC4Lvz3jna2aSMWHR2XtnafuuRR2bqvc9dT+gu1p0dPCMjzsu68UiJyAoaGRIi636/rEy/ngRGaADDc6aa6epp07ex65JLXZQOZm6r74P4LP1lFfpB1puhcO6uUPTDajTbhJTIJ/6vI5GNoY3s30DiA4ZJ82PdP/+6x/9Rz8jfvN+QBY+eFw9WZmrx2YPDWXNgBY2POWMKNxbjWOaX1Sr0GvVLuy+4nPSi7c2owntv795FfpPhs55YTzNgA41hS64eawO73RmMEXBvHOKuNY4ApVTcw7h5/zt6Bbz1A5W7HYJz8wvIHJ/PAePKf+xyMhDUXdsCY0FmYxr7GFdI6GGCQke8byzc0cwvAqA8Y48mQvQMfGMeHjo+/5RSM11aXp5dXj+WB8cL/6W8wpKh1d5oNMEL64kYvJZPHpo3IEOpdjEOsVN3BeDQ5mHzO7sF5Sl0mGCdJ1Zh87Xp+Gv/2hq/BKDIfmR0wXjYCa18/Zvqiud3jZ6en26G7to5gtCdfCI3XAowP0MQaHwPL377uZzCKdTTD+xi+ByN0P2bj0RqAsYySyfbl5Q8mCtL4234GA7kOxroCYNQMjOeS4w8MJgdr1GKMT7+GBgvSeOHfABgAhufAGMfu9Hgo9EKtfIzB1QIwXvgraDEADM+B8ShtLJ6z635XAkbyNbQ8/dr16/mmlE+4ADCaDYz7qXtxv83BifbnKgAjefKD5Q/OhvK7a33CBYDRfOMY9Rz59g0XAEYDgPG/+AaML/x/CMAAMGohqjrSdmbb3/1//32vyX/zNw35d9ge/NH6G89nmw6MClYa446KPyktR//ZXy8t//2Pft2OfLUhwFD4w0cPrZxfufO+M6e8HXR+as++zl17Vs639X2PP9FkYEiVLDVmaxWxtI31yMI2lxprBDBO8KaF+zpO7dngYTDOHBpe0WfGOj3CK00ERkW5+M9+76+VlN/4dRv21jd+uzlMKfU7I4Xrywzt2tW31YNQ3LOhYH2ZlbZdRz1vUnkFjL8GYJQhwaePHGizmnzQc40GWZFsyGKOn9b9o6sABoDhqoyMHig+J03H1tZ7PNRu9FjPSLhCrKoV3sMmFYDhLzCEz/iVUvMQntl1rxcmQLint7vEUkt37jrquwnXAAwvgvEHDz1sZ/X5tqc66t1Ldap1R8HsPtbTJrbeObIKYAAYlcjqyOhwGesr3ffIg1vrhsepjqE2O4vP0p6qa4d5BcAAMBxJ9vmj5S47cbB3f32WAei8r9zlvA9fOAxgABgORiwuPNzXtlL+cixt2KTaU+OVY/YfcrBsYNvBUY+ZVDUDY3qNABj2RizUkdPnnS811namc1+teqnI8q3d3Y6z+tmvPGRS1QyMNW+2JgGM0qLw3zvaV+Eq2nce2lUTKvZ17qps3dbug/uP8gAGgGHD3z60/2D3eRekBgEjZw5VvtT3Slv36AhSGxeMV0MhY6qD9pAJjMHXbiB047VBAKP0iAUJ+lhZOe+SDO3aVTWT6p49pzrOuyZtR5/2gElVFTA2hkxr8GlblIvX9J0nAYz1hQR9dJ93U1b2HPphFfzwUyTo405Xc9p98HsXVhsSjFcJBGyeTnSFrAmggYG5uHF2cPAYorPpABhFZWS08+DKeZeFtD4dHWTVb1fBeLC1zfWsnu9eGT0hqA0HxmDy5LjGA5pOHtPBGETojZA2qfM0gFGsiEnQx4r7uqYHjBzYca87JtWprQ/et7V6OT1/KPxjvrHAeAk3F8f0NfgGky/rYLxmTLt27I1xAMNSSNBH2/mqSttTHa4s6kqCPs6vVDGj3Qcf5hsKjLPJEIGDDVRoK44huirGDeiVWrcTamR0Q8/5GshKx1OPVLiG5amOp9qqn8+VldF/UJ9VyaoBRogtgDFhdjEQJWGZvhs/iCUEYBQGfRw+2n2+dnJn736nK1lu3dd5b+0y2nYm/CO+IcB4lTre7C86prkYOTDYmnxvABh58g8u7O9zXgPve+SRDeVbKm0dp07tKZ+LfTsO3VnDbK6c/0HfN040AhhkUbHp6bNJ2la063M3U1OKrBcTem2ZLJEBYOQHfVQwOtb90y4s2xydu6u8gBES9NHWfbrm2Tx/ekSsrUnlPhgvJc1r8IWSuZHvnPM9DWCYgz4OVmZsbOva1t320659jk7e8P1dW+2OWOzbtau7TtnEGT0cTnB+BmM6mTxLYgRPEv1/mS7dWthdC2AYcuI7uyoO+ujq2rNy/pGuR6ocMNK9q3W4rtnsvlc44WMwjKXGQnjjmL68knmA7+wyIkZV04MhfGf0tAve6cq+fSvnN/R3/bCCNDac2XXvnnVGLO7Z09FR92ySruHTQrg2JpXrYFxJ6u429jKunDSWh8kPCbnR9OMYSvBXRw641nWDFe6+ylIYbh1ab6aPDR7J5vnzd+6PJvwIxsbxkLa62Euh8Y1aBCEqCCJsb/pxjBM/6HQxwKi7v8uFDtSVjlOWM4x89942D2VzZaX7uyMnfGhKFREIOzcFfTx1+ryrsRQ/dNrZs+Z12PyAka0P3ndKN2K8lM3z50d/lA4qDQHG4BppTjA+5KsQ9NH2Zz90KaUV0wwjW1v39x70ZjaxfPd70WwjgLF+LpoFjNWR0Z4qBH10P7LB1fT2dT64lQR9dHs6m92/ObKqCACG78HIHj5apbCJR7r+zM3kTredOXKk1fPZJDndEK6SSQVg1AoMlQR9VCkYdcOfuRq89P0Ln2UVdWT0/LCns8m8n77vHQUw/AqGqo6suK1lVYpn7Tk/OqJqdfCJ6sfAu9BJhT3xEZQVAAy/gaHwT184eN4XMnzoyEMn8jvQLrSt+IHn77htUgEY1QZj5PldB7t9gcVK24XnLSrekdFhz3O90oFNKg7A8AsYwqGR0/5oK7oP9mCDpIg88/SRA34wBLERGFcBDK+DcTX47SOH/NFU9By48L1nivcxryLhed4XhP/gcDTNewwMsQIJ/8NvlJZw7PnS8u1v/7Yd+f3qgzHyg847V/zRXJzmv6MS9V93BGb1xOgZH9iEK32it8AQ/SV8VcHIxr9bxZk+XHUr+s6M2g484j872tnmg5saPRGv2KRyDYzGEFfAOCQ93OqLvpzzbZ1HD5cVV6EGr/rCpPpuLJoWAAwvgUFm+sit3OtxZ/WEky7OE/zDfZ5vN1a6W1UAwzNg8Icf8odXcb7t0MOOV6JfzT5/9ID3DSpsUmXDjk0qAMM9MNTf/d1//e/6Q/717/7u//HH68u/XA8NEjDih/v8r3/3f/t//tiO/EsAo4otxh8+YVs2pQy5/IQn5ddKlZWzu91c3Vxvzl1pU0V3C2DUD4xAJBKwBcbOy1RedK4v726uOxja3ZbOyIvsbnc6BiPwUWT2fQDDt2B8gt57D31iB4zblVa2O1Opt+sMhn63m+1W+redgvEJemcvuhUAMHwKRgR9lEp9hGbtmVLlPeY16vLKm5vqC4Zxt5vtHe/clIqgCG40bn0KYPgUjHdukXrxZ4FagPHK7bdTO+sKhnG3VQeDXWl+3vtgcKIYpIMtiuhS0Hx+lgXSFx8U/AYG2luO810RGG+n3t1ZtiHmLhjG3VYdDHKlxyKRWa+DIYRlIgmsvUHZnQmBgnLQfAGSqlstWc3BeGy+BmBsSl2+/OYrL9YfDHy31QfjvVQqsvcd5HEwhKgsZTkxKseI1lmfzItqBdrLsuS/FuNT9D5u8bFBXHUwdrK6+u16gmHcbdXB+BTN45uNeB0MiZ2QlaNmMNSgee5qcx6EoEgNrmwW88LTHdgWY5ELgiiSwB4lJscEzURTSfuR5jQwFJ4lmzsH7ynLfqshGBn03mOPvXerBi3GZuJfvPjKpnqCYdxt1cEI3HpnNvMR9jQ8DYYiy0wvs5wJDC4alaIyb5GHGLW7sHLK4TTekMiPCbwRxVpOPuW0wo5RlTQ9lOPJX57mi4vSbdM5SliWwqSx8mJ3beY9hPYGbPoYb1YwMHabqsjmuoJh3O1m+zl22F0b+BShdz7xuPPNybJZ6yT9olmkRNmXuIQZSUsS5UeV0yprXWQ5pgiEKgnvwvodxGfjjRhOgrUYPD4AxbF/QVsMki8lio/CcHDmc+LkajDyDSPfngSD1PFRNQdGXI7Gs4qiZYAJywa2iFSenCPLCsscgYjqa5i2PWFZZdqriAoS4jhF1ljgPzz17TEwuXOymC9eUQEMAMNjYKjUlMLeQBhfJ+dj4K9ylJlSAsel5SDHMUyyibAcZmAgHQyO6StreySaDtHeIG5pwmYw2G6yZZyDssTgitcKjP/qj2zLv4oY8n//kSflL0uVlbO7/VfVzbXTK/1lrZ3vsKaWkhkMQcCOtO59mPPAyemsgqzBiJI2BKXxWVR7RTnBLCgDjCC9VBa3G8Y5ShY3QNG83t1qggHSOFJtMLAxI6pIDUbNYEhRgal4YR6oTxAkZtRaMGLEieblsKa91FxKyOkcGKqMk8U+OZ87RySueBzAAPEcGIjXfIg40TomWbwhhbFO6120nJJzSdLpcBrr/FowsMrjXwhSvByVYjQNbE0p2FqT0jRf+FISHTAxzqHpEfcGwADxGBhIFSUpQYcX1IRERUBcTJIs36rkEni/IKkoTswiPqHQ/0ggnVZKUJLYC1k4xSzipQSPf8WNkiSJSoJ4LDhZ+pk7R43r59iThMzbBSMNygNgNI0+WBVHoMgADShPIwvtFrUvja4PUVmwB4bWewzSoCKQwbRyJCxnm604rMGIldMLDOI3iZcTL+HoBJ8VR8IuGFnSPwbSqFJ2A8DRsKXGLQ7eLhjWx4I0hvDlV3thWWzY4ghaFkegWNk1chXR3KJEy9fyrNywXqcStWwEioCB0nICVKgxJeHETpZI6HdDimTdFx0o6qk3tL/VxCI6qvzVaIPWlDE6rG4fDDLSDmQ0oMRlZ+4jrimlxmszlFix4gis46LRd9lBGkoRErLTbhU+Koe5BisOIV20OAJoPTKi0DfVUIKV23l3o4BPjqkNVBoqbi6ixVgPlOApGudAnxpDuDjW7HAFnUvE7pDTwcZQCC6YkNeziQLr1zB0eqC0BOJ7obMIhCu0ALiE3EiSWIfxQImiyMbCMkhDSDjmQsCTwifSjVEaieC6ZmHARllwIA0g0JFSlgSgCEBAAAwQEAADBATAAAEBMEBAAAwQEAADBATAAAEBMEBA/CP/vwADAA/Qrw2zzu38AAAAAElFTkSuQmCC" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "GATK offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size. GATK is a beast, and we could spend weeks discussing best practices for identifing variants. Accurately identifying variants is challenging in even the simplest systems, and it scales in difficulty for polyploids, highly repetitive genomes, and highly diverse or heterozygous species. The simplified workflow is outlined above, and the central algorithm of variant detection, the `HaplotypeCaller` is outlined below.\n", + "![5ac06fc8af4b1b0c474f03e45f9017.png](attachment:5ac06fc8af4b1b0c474f03e45f9017.png)\n", + "1. First, the program determines which regions of the genome it needs to operate on, based on the presence of significant evidence for variation.\n", + "2. For each ActiveRegion, the program builds a De Bruijn-like graph to reassemble the ActiveRegion and identifies what are the possible haplotypes present in the data. The program then realigns each haplotype against the reference haplotype using the Smith-Waterman algorithm in order to identify potentially variant sites.\n", + "3. For each ActiveRegion, the program performs a pairwise alignment of each read against each haplotype using the PairHMM algorithm. This produces a matrix of likelihoods of haplotypes given the read data. These likelihoods are then marginalized to obtain the likelihoods of alleles per read for each potentially variant site.\n", + "4. For each potentially variant site, the program applies Bayes’ rule, using the likelihoods of alleles given the read data to calculate the posterior likelihoods of each genotype per sample given the read data observed for that sample. The most likely genotype is then assigned to the sample.\n", + "\n", + "Read processing and HaplotypeCaller are run separately on each sample in the experiment, and the results are combined, recalibrated, and a dataframe of variants is output in the Variant Call Format (VCF). GATK and the associated processes can be run on HPCC. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# VCF: a dataframe of variants" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The intermediate files for variant calling are huge, and we need a way to visualize, manipulate, and analyze variants across the genome for many individuals. There are several leading formats, but the most common iS the VCF format. Below is an example:\n", + "\n", + " ##fileformat=VCFv4.0\n", + " ##fileDate=20090805\n", + " ##source=myImputationProgramV3.1\n", + " ##reference=1000GenomesPilot-NCBI36\n", + " ##phasing=partial\n", + " ##INFO=\n", + " ##INFO=\n", + " ##INFO=\n", + " ##INFO=\n", + " ##INFO=\n", + " ##INFO=\n", + " ##FILTER=\n", + " ##FILTER=\n", + " ##FORMAT=\n", + " ##FORMAT=\n", + " ##FORMAT=\n", + " ##FORMAT=\n", + " #CHROM POS ID REF ALT QUAL FILTER INFO FORMAT Gala Honeycrisp Granny_Smith\n", + " Chr_20 14370 rs6054257 G A 29 PASS NS=3;DP=14;AF=0.5;DB;H2 GT:GQ:DP:HQ 0|0:48:1:51,51 1|0:48:8:51,51 1/1:43:5:.,.\n", + " Chr_20 17330 . T A 3 q10 NS=3;DP=11;AF=0.017 GT:GQ:DP:HQ 0|0:49:3:58,50 0|1:3:5:65,3 0/0:41:3\n", + " Chr_20 1110696 rs6040355 A G,T 67 PASS NS=2;DP=10;AF=0.333,0.667;AA=T;DB GT:GQ:DP:HQ 1|2:21:6:23,27 2|1:2:0:18,2 2/2:35:4\n", + " Chr_20 1230237 . T . 47 PASS NS=3;DP=13;AA=T GT:GQ:DP:HQ 0|0:54:7:56,60 0|0:48:4:51,51 0/0:61:2\n", + " Chr_20 1234567 microsat1 GTCT G,GTACT 50 PASS NS=3;DP=9;AA=G GT:GQ:DP 0/1:35:4 0/2:17:2 1/1:40:3\n", + "\n", + "There's a lot to unpack here, but for their complexity, VCF files contain a wealth of useful information. Lines that start with `##` contain info such as the file format, reference genome used, filters, and other useful information. These are largely ignored for any data analysis. \n", + "
\n", + "There are 8 fixed fields per record (variant). All data lines are tab-delimited. In all cases, missing values are specified with a dot (”.”). Fixed fields are as follows:\n", + "\n", + "1. **CHROM** chromosome: an identifier from the reference genome. Could be a number, Chr_X, or SCAFFOLD_X / Contig_X among others. \n", + "2. **POS** position: The reference position, with the 1st base having position 1. Positions are sorted numerically, in increasing order, within each reference sequence CHROM. (Integer, Required)\n", + "3. **ID** semi-colon separated list of unique identifiers where available. This can intuitive or a random string. Can mostly be ignored (Alphanumeric String)\n", + "4. **REF** reference base(s): This is the base in the reference genome and each base must be one of A,C,G,T or N for unknown. If this position is an indel (insertion or deletion), it may contain multiple bases. \n", + "5. **ALT** comma separated list of alternate non-reference alleles called on at least one of the samples. This is the variant that was different from the reference. Options are base Strings made up of the bases A,C,G,T,N, or an angle-bracketed ID String. Note, there can be more than one alt. One individual could have a T at this position and another could have a C (while the reference is G) (Alphanumeric String; no whitespace, commas, or angle-brackets are permitted in the ID String itself)\n", + "6. **QUAL** phred-scaled quality score for the assertion made in ALT. High QUAL scores indicate high confidence calls. Although traditionally people use integer phred scores, this field is permitted to be a floating point to enable higher resolution for low confidence calls if desired. (Numeric)\n", + "7. **FILTER** filter: PASS if this position has passed all filters, i.e. a call is made at this position. Otherwise, if the site has not passed all filters, a semicolon-separated list of codes for filters that fail.(Alphanumeric String)\n", + "8. **INFO** Additional information: (Alphanumeric String) INFO fields are encoded as a semicolon-separated series of short keys with optional values in the format: =[,data]. Arbitrary keys are permitted, although the following sub-fields are reserved (albeit optional). \n", + "\n", + "The genotype fields are next, and these are the most important as these contain the variants . There will be one column for each sample/accession where variants were identified. In this example, that would be Gala, Honeycrisp, or Granny_smith apples. Genotypes can be denoted as: **0/0**, **0/1**, or **1/1** (in general, but there are other possibilities). The first record in this example has a reference allele of G, and the alternative allele is A. 0/0 is homozygous for the reference alleles (AA), 0/1 is heterozygous for the reference and alternate alleles (AG) and 1/1 is homozygous for the alternate allele (GG). ./. indicates missing data. Now, this is for diploid species, a haploid or monoploid species would have 0 or 1, and a polyploid species would have more. An octoploid (like strawberry or sugarcane) would have eight such as 0/0/0/0/0/1/1/1 or 0/0/1/1/1/1/1/1/1. For simplicity, we will only use diploids!\n", + "

\n", + "Now that we know what a VCF file is, we will learn how to read it, manipulate it, and use it for basic genetic diversity and population genetics analyses. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Reading, manipulating, and analyzing VCF files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Like everything, there are many programs that we can use to read, manipulate, and analyze VCF files. There is even a python package! Here, we will use the package `scikit-allel` and analyze filtered VCF files from pineapple and grape (Vitis species). GATK produces a large raw VCF file that needs to be filtered (10-1,000 gigabytes, depending on how many variants, individuals, and genome size). Its not uncommon to get 10 or even 100 million variants in a project, and not all of these are high confidence, and for some analyses, you only need a subset of the data. We can use `scikit-allel` to filter VCF files, but it is slow. The best program to filter VCF files is VCF-tools and it can be run on HPCC. It has a lot of functionality and can also be used for basic population genetics and genetic diversity analyses:
\n", + "https://vcftools.github.io/man_latest.html\n", + "
\n", + "I have already used VCFtools to filter both the pineapple and grape datasets to make them more manageable for this notebook. We will import the filted files. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `scikit-allel` package provides utilities for exploratory analysis of large scale genetic variation data. It is based on numpy, scipy and other general-purpose Python scientific libraries. We need to install `scikit-allel`, and the simplest way is to use Conda. Conda quickly installs, runs and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. You should be able to install it by running the following command in Jupyter, but you can also run this on the Anaconda command prompt: \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "conda install -c conda-forge scikit-allel" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once 'conda install' is run, we can verify that the package was installed correctly. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "scikit-allel 1.2.1\n" + ] + } + ], + "source": [ + "import allel; print('scikit-allel', allel.__version__)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll need some other stuff too: " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "random.seed(42)\n", + "import time\n", + "import numpy as np\n", + "np.random.seed(42)\n", + "import h5py\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import seaborn as sns\n", + "sns.set_style('white')\n", + "sns.set_style('ticks')\n", + "import bcolz\n", + "import pandas\n", + "import allel" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first step is to read in the vcf file, and we'll do this using allel.read_vcf. We will use `fields='*'` to import all the fields:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "pineapple = allel.read_vcf('data/pineapple_downsampled.vcf', fields='*')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now lets look at the vcf file we imported: " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'samples': array(['Ac73p', 'Ac71q', 'Ac64s', 'Ac68s', 'Ac70q', 'Ac63s', 'Ac62s',\n", + " 'Ac61q', 'Ac72q', 'Ac74p', 'A01', 'Aa02', 'Aa03', 'Aa04', 'Aa05',\n", + " 'Aa06', 'Aa07', 'Aa08', 'Ac20q', 'Ab10', 'Ab11', 'Ab12', 'Ab13',\n", + " 'Ab14', 'Ab15', 'Ab16', 'Ac17c', 'Ac18c', 'Ac19s', 'Ab09', 'Ac21c',\n", + " 'Ac22a', 'Ac23c', 'Ac24a', 'Ac25', 'Ac26', 'Ac27', 'Ac28', 'Ac29',\n", + " 'Ac30', 'Ac31', 'Ac32s', 'Ac33c', 'Ac34', 'Ac35', 'Ac36', 'Ac37',\n", + " 'Ac38c', 'Ac39c', 'Ac40s', 'Ac41c', 'Ac42c', 'Ac43c', 'Ac44c',\n", + " 'Ac45c', 'Ac46c', 'Ac47c', 'Ac48', 'Ac49', 'Ac50', 'Ae51', 'Ae52',\n", + " 'Cs53', 'Ac80', 'Ac67s', 'Ac78s', 'Ac76s', 'Ac60s', 'Ac85s',\n", + " 'Ac66s', 'Ac86m', 'Ac81', 'Ac59p', 'Ac58s', 'Ac82', 'Ac57q',\n", + " 'Ac83', 'Ac69s', 'Ac65m', 'Ac56m', 'Ac87s', 'Aa88', 'Ac89s',\n", + " 'Ac79s', 'Ac75m', 'Ac84', 'Ac77m'], dtype=object), 'calldata/AD': array([[[-1, -1, -1, -1],\n", + " [16, 8, -1, -1],\n", + " [10, 12, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[ 2, 3, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[10, 4, -1, -1],\n", + " [11, 9, -1, -1],\n", + " [30, 18, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " ...,\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [13, 11, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]]], dtype=int16), 'calldata/DP': array([[ 5, 24, 22, ..., 4, 4, 2],\n", + " [ 5, 22, 30, ..., 2, 4, 4],\n", + " [14, 20, 48, ..., 12, 2, 2],\n", + " ...,\n", + " [ 1, 9, 13, ..., 2, 0, 0],\n", + " [ 0, 3, 8, ..., 0, 0, 0],\n", + " [ 7, 24, 22, ..., -1, -1, -1]], dtype=int16), 'calldata/GQ': array([[ 0, 99, 99, ..., 0, -1, 6],\n", + " [70, 0, 60, ..., 6, 12, 0],\n", + " [74, 99, 99, ..., 0, -1, 6],\n", + " ...,\n", + " [-1, 0, 30, ..., 6, -1, -1],\n", + " [-1, 9, 22, ..., -1, -1, -1],\n", + " [21, 99, 63, ..., -1, -1, -1]], dtype=int8), 'calldata/GT': array([[[ 0, 0],\n", + " [ 0, 1],\n", + " [ 0, 1],\n", + " ...,\n", + " [ 0, 0],\n", + " [-1, -1],\n", + " [ 0, 0]],\n", + "\n", + " [[ 0, 1],\n", + " [ 0, 0],\n", + " [ 0, 0],\n", + " ...,\n", + " [ 0, 0],\n", + " [ 0, 0],\n", + " [ 0, 0]],\n", + "\n", + " [[ 0, 1],\n", + " [ 0, 1],\n", + " [ 0, 1],\n", + " ...,\n", + " [ 0, 0],\n", + " [-1, -1],\n", + " [ 0, 0]],\n", + "\n", + " ...,\n", + "\n", + " [[-1, -1],\n", + " [ 0, 0],\n", + " [ 0, 0],\n", + " ...,\n", + " [ 0, 0],\n", + " [-1, -1],\n", + " [-1, -1]],\n", + "\n", + " [[-1, -1],\n", + " [ 0, 0],\n", + " [ 0, 0],\n", + " ...,\n", + " [-1, -1],\n", + " [-1, -1],\n", + " [-1, -1]],\n", + "\n", + " [[ 0, 0],\n", + " [ 0, 1],\n", + " [ 0, 0],\n", + " ...,\n", + " [-1, -1],\n", + " [-1, -1],\n", + " [-1, -1]]], dtype=int8), 'calldata/MIN_DP': array([[-1, -1, -1, ..., -1, -1, -1],\n", + " [-1, -1, -1, ..., -1, -1, -1],\n", + " [-1, -1, -1, ..., -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, ..., -1, -1, -1],\n", + " [-1, -1, -1, ..., -1, -1, -1],\n", + " [-1, -1, -1, ..., -1, -1, -1]]), 'calldata/PL': array([[[ 0, 0, 69],\n", + " [157, 0, 435],\n", + " [300, 0, 178],\n", + " ...,\n", + " [ 0, 0, 83],\n", + " [ -1, -1, -1],\n", + " [ 0, 6, 85]],\n", + "\n", + " [[ 72, 0, 70],\n", + " [ 0, 0, 603],\n", + " [ 0, 60, 900],\n", + " ...,\n", + " [ 0, 6, 75],\n", + " [ 0, 12, 142],\n", + " [ 0, 0, 39]],\n", + "\n", + " [[ 74, 0, 281],\n", + " [246, 0, 266],\n", + " [461, 0, 811],\n", + " ...,\n", + " [ 0, 0, 287],\n", + " [ -1, -1, -1],\n", + " [ 0, 6, 49]],\n", + "\n", + " ...,\n", + "\n", + " [[ -1, -1, -1],\n", + " [ 0, 0, 11],\n", + " [ 0, 30, 351],\n", + " ...,\n", + " [ 0, 6, 63],\n", + " [ -1, -1, -1],\n", + " [ -1, -1, -1]],\n", + "\n", + " [[ -1, -1, -1],\n", + " [ 0, 9, 85],\n", + " [ 0, 22, 220],\n", + " ...,\n", + " [ -1, -1, -1],\n", + " [ -1, -1, -1],\n", + " [ -1, -1, -1]],\n", + "\n", + " [[ 0, 21, 229],\n", + " [302, 0, 292],\n", + " [ 0, 63, 945],\n", + " ...,\n", + " [ -1, -1, -1],\n", + " [ -1, -1, -1],\n", + " [ -1, -1, -1]]]), 'calldata/SB': array([[[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " ...,\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]],\n", + "\n", + " [[-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1],\n", + " [-1, -1, -1, -1]]]), 'variants/AC': array([[-1, -1, -1],\n", + " [-1, -1, -1],\n", + " [-1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1],\n", + " [-1, -1, -1],\n", + " [-1, -1, -1]]), 'variants/AF': array([[nan, nan, nan],\n", + " [nan, nan, nan],\n", + " [nan, nan, nan],\n", + " ...,\n", + " [nan, nan, nan],\n", + " [nan, nan, nan],\n", + " [nan, nan, nan]], dtype=float32), 'variants/ALT': array([['A', '', ''],\n", + " ['T', '', ''],\n", + " ['C', '', ''],\n", + " ...,\n", + " ['A', '', ''],\n", + " ['T', '', ''],\n", + " ['C', '', '']], dtype=object), 'variants/AN': array([-1, -1, -1, ..., -1, -1, -1]), 'variants/BaseQRankSum': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/CHROM': array(['LG01', 'LG01', 'LG01', ..., 'LG11', 'LG11', 'LG11'], dtype=object), 'variants/ClippingRankSum': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/DP': array([-1, -1, -1, ..., -1, -1, -1]), 'variants/DS': array([False, False, False, ..., False, False, False]), 'variants/END': array([-1, -1, -1, ..., -1, -1, -1]), 'variants/FILTER_LowQual': array([False, False, False, ..., False, False, False]), 'variants/FILTER_PASS': array([False, False, False, ..., False, False, False]), 'variants/FS': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/HaplotypeScore': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/ID': array(['.', '.', '.', ..., '.', '.', '.'], dtype=object), 'variants/InbreedingCoeff': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/MLEAC': array([[-1, -1, -1],\n", + " [-1, -1, -1],\n", + " [-1, -1, -1],\n", + " ...,\n", + " [-1, -1, -1],\n", + " [-1, -1, -1],\n", + " [-1, -1, -1]]), 'variants/MLEAF': array([[nan, nan, nan],\n", + " [nan, nan, nan],\n", + " [nan, nan, nan],\n", + " ...,\n", + " [nan, nan, nan],\n", + " [nan, nan, nan],\n", + " [nan, nan, nan]], dtype=float32), 'variants/MQ': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/MQ0': array([-1, -1, -1, ..., -1, -1, -1]), 'variants/MQRankSum': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/POS': array([ 1453, 6534, 11630, ..., 2057863, 2064887, 2073315]), 'variants/QD': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/QUAL': array([ 7104.19, 2832.27, 10166.3 , ..., 2181.32, 2292.04, 3685.53],\n", + " dtype=float32), 'variants/REF': array(['G', 'C', 'T', ..., 'C', 'C', 'A'], dtype=object), 'variants/ReadPosRankSum': array([nan, nan, nan, ..., nan, nan, nan], dtype=float32), 'variants/altlen': array([[0, 0, 0],\n", + " [0, 0, 0],\n", + " [0, 0, 0],\n", + " ...,\n", + " [0, 0, 0],\n", + " [0, 0, 0],\n", + " [0, 0, 0]]), 'variants/is_snp': array([ True, True, True, ..., True, True, True]), 'variants/numalt': array([1, 1, 1, ..., 1, 1, 1])}\n" + ] + } + ], + "source": [ + "print(pineapple)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is basically a raw NumPy array, so it's not intuitive to read if you are a human. We can import it as a dataframe instead, so that we fellow humans can interpret it. **Note:** we aren't going to do anything with this, _but you could_. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'grape_df' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mpineapple_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mallel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvcf_to_dataframe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'data/pineapple_downsampled.vcf'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfields\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'*'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malt_number\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mgrape_df\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: name 'grape_df' is not defined" + ] + } + ], + "source": [ + "pineapple_df = allel.vcf_to_dataframe('data/pineapple_downsampled.vcf', fields='*', alt_number=2)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The object returned by read_vcf() is a Python dictionary with several NumPy arrays, each of which can be accessed via a key. Lets see the available keys:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['calldata/AD',\n", + " 'calldata/DP',\n", + " 'calldata/GQ',\n", + " 'calldata/GT',\n", + " 'calldata/MIN_DP',\n", + " 'calldata/PL',\n", + " 'calldata/SB',\n", + " 'samples',\n", + " 'variants/AC',\n", + " 'variants/AF',\n", + " 'variants/ALT',\n", + " 'variants/AN',\n", + " 'variants/BaseQRankSum',\n", + " 'variants/CHROM',\n", + " 'variants/ClippingRankSum',\n", + " 'variants/DP',\n", + " 'variants/DS',\n", + " 'variants/END',\n", + " 'variants/FILTER_LowQual',\n", + " 'variants/FILTER_PASS',\n", + " 'variants/FS',\n", + " 'variants/HaplotypeScore',\n", + " 'variants/ID',\n", + " 'variants/InbreedingCoeff',\n", + " 'variants/MLEAC',\n", + " 'variants/MLEAF',\n", + " 'variants/MQ',\n", + " 'variants/MQ0',\n", + " 'variants/MQRankSum',\n", + " 'variants/POS',\n", + " 'variants/QD',\n", + " 'variants/QUAL',\n", + " 'variants/REF',\n", + " 'variants/ReadPosRankSum',\n", + " 'variants/altlen',\n", + " 'variants/is_snp',\n", + " 'variants/numalt']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted(pineapple.keys())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `samples` array contains sample identifiers extracted from the header line in the VCF file. We can use these later on when we plot things:\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pineapple['samples']" + ] + }, + { + "attachments": { + "41588_2019_506_Fig3_HTML.webp": { + "image/webp": 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s/SxPUEwBvsB2V5V3pkfTU4r++vLkhxwtChGf6VDWme4P1s1tZCFkyE5FzcwGyunpQ2GxfvHFO///85mW26rvYUyHpkPTIemQ9Mh6ZD0yHpkPTIemQ9Mh6SpUV2c4zRCHGMOkGAQUHpAglOJlZKC32Bvrc7cdvrR8y2Mg4t9gb7A2iC34IQi9Je/5csD//zi3/yHm8rKL0PTIemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpk2JjFhuFccncJJL4DpLJ1qnC5G5/He7q1c0+8ODd/ZlrfCmQ9Mh6YgFm29Vpsg/t14phPLkLbIiDGQS+YA32BvsDfYG+wN9gb7A32BvsBdUmju37Su7AsmSCPrVACyqG+sG+w/1yJ9ksEbuPepq3rvoNkhdeera+DeImoF+RhAkbe3DkIvYRfSKZD0ZexW0EIT4p2FAui9D0yHpiEvt9zR//3fL9ERiDOfnEkUSjGQS9kxysqWkHd+wpkPTIemQ9Mh6ZD0yHpkO8kh8UsdAiWfb0C+g0uGMa+Cfcm8zQCVheEUu9xJS41r7s88V8l9sy7zW34eAPP8Yo+hKylNkD8DQT9QVrQIC80LiRFOwKWZL+UqSxTASjmGIhYDfQlF658RSZgr/9Sdz5AwPvbtoJfMAb62rJf//lhPZ+CfYIf+MKVf7A32BvsDfEQkd1pFTIZ3DZTlEoxkEvmAN9gb7A32BvsDep+WxrBwLJd9Ocyo1s9c15cJrTh/KE0h3fPBqrs0Twm5CAjgVcV+fA6hCowcx3PzRMiy6M3OB3qE0bWY9w47usTKo5RRxk1k8pB4LHF2eKS4Eil/pLapjHcjh3lSTov8kjWja8uRKLq3C2zvxSGx37A31un7Sx/JfX3prxn+qkIdZWUXoemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpkGzqDK5Qmthu+ZnmyTgTO2MxtpSA2pRTbWsiNuBjupldNey5Zh2DiYbk+uj8eLrVSb9iFMkGMv8nrIKr+Bh3UPTE90JxGPHt8fgjAkSlSGoEfPUsxBYChEGhsybbjhsI88bNcEN8RY8LHxTDA3wB34H0i+m/H71ttv+BtD0yHpkPTIemQ9MRb1mxyyUJFe1WhxdHoZaoBGNUVzpGh4ZqpdCzByjU1nHHHHHHHHHHHHHHHB7GR/BD/xKWkikF4kKUg7JZMPIQYZbcYApKfko7uRFd2bD8xPtDfkcKOTFAgTU0FXZn/6xunusd4C7/kYk/MLFTIemJDt5HFge9iDKrDHjYHf5CE/1I/Qfkj7c3XuZ1llVDDxBBHHLN56jKW63m1rzUHEUp6Lwq8gb6JrpL+8STIWkTuchUDJmPY/KmFp7SBonQ9AunkfnmrBlcoW+JkPTIemQ9Mh6ZD0c+RFjncZwwKFnzg0PHgAT2Q2yY5gpBRr0TvG0v3YG+wN9gb7A32BwBcjIrEpqmy2MBp6LXQJ9zOLqsHTRKYHLkl6BW/jfZn/DHwAbLaaYG9Vw/HtxVFx+9WXuSv19rtJtWjbsKZDRDdaqjfO/QpVPuMIqC3k8G222p4QET0HUbjnxO3LMth2IPLIJDUGd9caZrYe0wXOdv2OZfgbyfLrtlLbm6T3fGMgl8wBvsDfYG+wN9gbW6NDEwP5+5fQt7473fGMgl8wBvsHRM3JDXI/fZF0vDEbsHZOka43wl36NB9jCSy8fvwRKA0lyA/f/47cS7SGHP5yiDhVoJ7HZI0yCXzACZTyMqFbMujujykMwPWooEGa/+xF+yRo3IfHof5mhF4IaG81mN35IqnBoVD3JZ+Rmt5D3U0zwReh6ZD0yHimzgOt8134IOl2k7LS+YA32BvkdS4XA+pYoGovQ9Mh6ZD0yHpoZzoZsnaXpRxSevAj9xm8dXH23I7Bbs2e6hc/yAWAWGxqeyuwrkoOCxzwgUw5ChHEjTIPqwCbP95bM+jOfBmhfHmGIy4QiJl76uPmcUmOy673baGSY4xuqEF2w9XSVlMe9Jj9BsyC+lfOH/hezARaVIGvZYueVcsr8pJNfZb4KrH2r/LClil8VVupZklOsAyozviyf6UF5rbcQ9MToPgsUbLsQFXnWReQMnMPJQlqA9Vn0nhyWgb7A32A0RLTKmg8cdd23aMmcpxjIJfMAb7A32B2CA7W+2w/VfrdYr4p+KHqHwm3tdTWPjk0wfD0FObk9HPQVXvcgC0dPb0wTA+HNwQQy3Fq8FRv63qbbYeOfEpepi8ZFgKrUy5K9ITKkAk58kjyGhwMfXFMwJ3gkPtYLVFm0uXCS/OMIzUVqxYnEiYNFqmBQLArMFAUjLwsMDRTiYKXc/OyCsli/1vVrPOssU99nGyb6iA8HQXbplQo0HIsPFVZ/B+P4Ezh3QYLCEraO4cWizdkVzuXr94EmAsMI/P6ygdYNX7/YJmDzM52ukawigh6ZD0yFIrjGQS+YA32BvsDfYHYIDzGEeZziSy+URVpZjQH8lODT8j8ycgBjniC/YnV9D1DEJKBDcNqYjlcqtVfj24Wih3i8hLhZK7/+r+r8YGzvpBH/SG9ipXAI/+62Yg1Uo92LYr4oMdA+fS3BUXqs6+I5wEl/O43tPBzfBl+IidLL77Gdg+XwQOEDqAZbsbdRQHQzQFI1rSuGsRrnJv/ape7mE4l9yxJKMWLi+OsouSbgtCAKsFWXqqsfBPdJAUavL3GZlA9lv29FIPzt2HtOiOpR3G6gHb9/AseQIolGMgld4wZg8EhsugxUO7ZJtjkoZIyCXzAG+wN9gdggNgcEQ1YYo8rOhQH3vfgoKXPqeJJTe4MER/WmKae74K0aVg5QnReR6mwDCSFf/ZClWy3uU7cySjDplSpFW0p3JLxQta2E4se51Vp+x/Mz+n4Ocj0tMNvR8knPlKF6YuuzuaE9hRNSznnYWXCvqWpAlH0FGFvFKZyPzHMMdUP9bQdCzKSWgSEkTKqBo1TvNXBuW7JPLlr5C/+J0UkPMC5/EWOGhwmVOSZAX1kAb8AQnhisnJqKWTORgNO0M2QBIiVcCtrzfBx7y5sRkRIolF9J5rK+EWgX9x861nEG1IWd5fFs8rJCOZjL1+F4h19+jTK2t6HpkPTIemQ9WeASStgbcfXs4EId9mBzkhCFys+0s529ALvV2c6dtx4udxFx4mz2h6K85TDkFbnJ+wwi+TonfKuB53nZkZCpRCWO4I6aCDCC8PqRaJ8CDy9JI2RXjmwgwILpShhMSW2OR5R1UHB7NZy+/tq9S19fQCaP7gsMzIbQdgEyw8jCn4XT8QoJ+ZxTkXzV70xUrRWYYOcYB8sL3+H395Adnvnak98toLUCBImsSk7A5AcItOWsET2BZNXFIKVjC0DtJdOQPDi2uoQjfrHJrfD1QaCZlCRj5JKLvyqCaBbwonsTV3sKPBolUN6Ms0AoNP0o6UbIcg5PZgrT6bAlucaXUStw8dp49+wN9gb7A32B2CA16hEqS43GKesF5HvgCxuJjEUzBVULsP/9a7Fs3cgiLQlCTbBuIKOguk1oa7yDSko1L7Qgu2EPjvT74EaX7sQD/pnvc6Zos0nWphH/MYuF5B72kz9uk6mCDYx30ic6CDGHgrK/BGs0gYQgEP90O1aMay9+reQPtli8Yhey2QHKV2YSwp1PLVZtS/9FUZukLv5AHpI+3doHKzI8yzwQg4K7QIojio5R7Yy3QfbWHmCQcqlagM1OTqAplPt0xJ6HGXtW1jfizILqI3wduPv2BvsDfI6oemQ9Mh6ZD0yHpkPVnf8R95N5kmhVNBiXZu+3nNhOIy1GFEyc8ftfOhDpUSagJzIt+A/S35XR5x2CYT2uPQJjUzRejZKstMwzXY2cOOQFwulfnRDCEOzA5MgYZ0yO4Wls9QnzSvJO0SCa8chgj776O0+cBueFUHSoK/uJGw7Z8YCmpiKxhNJCPD1wjobUnFno6Rr3IrNVDRvwdELeknVU242flw1bBD0EvZHl454HNiKU7kiCQGOtFA8zYQJI2yc9AC/+hRdc78Fwmus5c4GP3Rbrflt+Rf2kzBKKXx0K4EWn2WRMAb7A3100gpkPTIemQ9Mh6ZD00M51LihVwW/qBBhc8HERLxD7YXKHKKUav6WHrMix4H14oPbvHJhEUDLkBfINLybes4+S883Taa9QTEmVmkKpAn4YT7UxGsI/ODs3x7rXRFBNcDLlkENrwMwA61zwuEmkC7fvp2GM2djEOWm23DfI7L46ODuvZ1BRURf0MkhculCsTxIq7wCFtwoS9XehngL5d+H4vqvXioEUE8f73CXf+EmAMzPrIfAcnovP3kKKvp05H1r3hyHhafQbuHBURWC2YNyDAUkq5asvEcqwTL/po2MYyCXzAGxpj1YF4ApkPTIemQ9Mh6ZD0yOtj8HX0+gew4x6JogO+ZOOE0NMUet3uOlbg+gjwYUkR6BnsXgre8HscJJelHRTgOO7PIc2PpuVhT00zy3oO2rArNx4KrgiOZuji3rpBG2vMvXS1ovKYo9c7SV3Iosram/bN9S90Ee0lg6ec7D8ywRBsPPLaCl520MQ6Hjr3s+ee+YasiVlqC8JDUZOTZFimFxE5RcsuEHwirJd+9SDCx0hJz888CwnRLS9Tajwpm5yb3fGMgl8v00gpkH3F5uR9+wN9gb7A4AuEDfzyyqbuOwFGiXisptbV16ZF1PJiPhDjUREFNMqBG+JBTEj711RSkwgB4s86kLyE0Z698MYG8TVfb9vU/BsaFfvCpdoFXxV0GZuTe75ZsSBNFxeWcAruvHbRMMIbpqtfubRKehEsPvZLnhntYr/WNg0tqbS0p4D+Sx3MgK5kOwbrhAXnM7uEXyfRJ1HhiPxg0RUPRzA4e72bHRGAUSvvhh1xa+qqa8GqIr0ILC+8zSgFrFmip542l18EcXPkffsDfYG+umkFMYOw6zuZ2IJfMAb7A32B2B7RYrD0Qf6qKTPHNTQOtRI5ji3veVOcWPQwS/EdbD4yivsccavRwe9KzwqpNCcYs7XrF1wOryc1c6IK0r89zGkvmANnDAV2wxJKFC5hLqx6LyrLkzptJcr7dfGUtMYvQI/BNVJf2+fCl+oQmibkATKy8sHJABdCFlKYN0ClcdgqOqlpsEvwcq3KuVN2CvtY6gCc1QBMJPDQr+wuWOpFlC/cNA4nBpsPi2CXzAG+t43fXKA+K4RMOEqPUh7d4U8j3dSxF6HpkPTIemQ9MP+ACa0227xOLIVvYOGp0R2jHxiOaCS/49Lm4YEVHi592bzccgZe1uYplb1vKG+x7E7kpslbOhm+7zHCFHCtsUSjGWs9ImQ4kys/Za8YLQrC3Km1FIjQ40Ay+2I5JAYxlHo5H7I1FpbEUW8tLEu/jWWtJqj+yYdAPqGkpYYRFEeBXEfu9BvYqSY4w3F1EE+uey6fQajqV9PZJksKzrMjcOF9tpTLwx4Xy7Q59xo2Ga8AGD7CmI+DRtpbEnIfQLIIocljpziLzwztSnIYDuCF6HpkPTIemH+YsOwdW8g0wVHZFkM/JJgE1rO7UDRT7SUiakiuMZBL5finLXM+a/FA4ol3AIbm9lo4/gz7u5UfGnVPrU7z8UARjTSmu/9wNTrBB8cE5fJhSlq/Df8v2b5FHvqfy9pbMfKVaJ3fHjDzC1i/H9cr19D60hyIjemgSax5JAvv3BxE7ZovKyxQ/1PNwUyxzv5JVbJGBJWETTcC6SkMq95s+p6w1sjoY6how38uTTJHIJVsgQByFKS9lOWrV/KMlhsAgNjgqd+0qecqI+N8PdkQGP52tx1gb9iMeYaK7QilBWyylldT1eubvqm3f3nHkY473fGMglmxF6D+aT36qRFEoxjxGmsv9p/YF8CZV0UEoxkEvmIRFdbeKbtMYPC+eEBtA7/m4+mV3NViR6HgWxRVswN+qko9tQGn4fj50jL2hU7wW/aE+EulnZ+vlNiMCr4etVz20PHuGezzzKb36WzHmIN53u0k/7MSJJgYM2M7/90qHWMwibRi4EAXRPUY5ck+eGnvr1/TFMHz4HuKxOuqSV1md46bd91gFvFx1mAHmx/4/JyXkXKMyzlYECTgs+nPowi4dbq4BeRqPymEm+APNjafgP9h7XIDUusxaH4V2sIxxJrAtpjnTVy86lZReh6Yr7kEq8eNvjErdL+z2+VezdzGgV8DfYG+wN9gdggUYyCXzAC4wMN0MptunUJTGQ8N/YQh0CNHjbzproQwY2IZuo5e7g3n8z5jCdBJ2T+8jNUodlrL/E2ZipNdIqcSsAP0e8jwGcEPZVEXu9DDTBAVBa4EVsr3LHBb2I86bayLGLZdYIEM85rwU/U36OQNYfJY+ZE5aHJFOSZDHOXJTQW568/Leb0qZD0glpdn+9alTSNKs3q0md4CuIINNvKAI37tvBLE9qQI7lLy8xnvrbYaQfP8UXlTOCR24IR51pSi9cZLS47mAN9gbGqck/KCgugl81KZg4QaTe+Id4tJBTIemQ9Mh6s8B9+wN9gbD8/1Zgj2KkBWgWjHA3we6vUUUPby+0bQPSi++cWqP8/eQ/DbFBgSLA0rPuXBbVqa5ySwsRJajECFwzkYeCXwr/AJWWVsfWjLPnCM/JBn3Bu6fgkE9d//dq8h2H1FW9dPJxL1DMQQvefpesd/O3H2/FzQ4FyCCx91QN+JTbLtlgafje445SWuF6JHdHQWAa15PcCzB3/ro7ZaZpwbJgPr8sKMLowubxmC0YnkefXehqM7WW2mts6AIF+A7sKZD0yEXiPQ56ZD8orKL0PTIemQ9WeA+/YG+wNhJ2YNmNwLtzTnlrzojfsKAyUgnn7Mm37QI+eG5+FvyhatpKhdudDj4jq7uHznGWAc9oiQB9+wN9cZ3E9qHiOZIGo/xow4qgIWrLrBURGGbYdYLOENCkjaLTShnfu9Vti8c9ZelrHe4/fD17ZqMS1B/ywjkIWzCdiTU1FEY+WGlaCWejrSlFPWPwAaN30f/f5/IXTOoU054pCOlS2DjOq3kF+92FrUPTIemK+5BL2JvEvosSV9ub2bpMjAk8yjAG+wN9gcAXJFEoxkEveYtGk4p2asQOhBkftF5ITFigui9SuYBsdWtHwQCf969epgwPo3jjPhRyhUvnCFkT+R9OME7GaP0CJpP/IFPL7W8C7frj7WG6jumQ9Mh3O5FYCJlemZNO8vBMf8pgO6sVzs/T4q0CkO40R1fhgwNp3nYaX4KqVUNPqliew7PXRraA0iv8UXmkiz141SSaxnFsJXedt1h+M4ZpKNBEbjN738QthFrsXPiYpqIgWnwAGHt9ZG5Z7NNri9lkKAQKoDJwWiUYx2rYKqlbOOf7sR27zidIM+9hR1QS9esfeIkYUrCAL/GLK72FMh6ZEAh+wN9gb7Ab7JgXe2ijLkupGIeeZ6WbmvcrvJjpwobSkX6PWoOumbHnaLqXloBfBey0tfbhuRLYaihXoKI3e3ogXOL5dt9FrcxZ+lGzAH/N7C5b4xkEvaNC9IYWBaITHYS+nCBGcOhAwQcn2HUINkK8pNxK/25VwLpeqDoCEQkeJZ52C1PSt4MiUP8j9+1okpCiqHAOvXc7XtWOBxvigYrOWmeYkixDmoAjxZH5nryspEq+PSqzM1/BgkwMZMDFRrk+SJj1sqP1QJwghaufU4p0Ic91zCoDCsw91QFPRYQ/0VlQN1XDTP7GQSrwb3KDNYr4O3rlUp1X/WOP6wsovQ9Mh6ZEAh+wN9gb7Abfc5a1OtULGlUoZoRIr6x9STHszXuJCi9CAoslhNeDeZwzaSaypaDXah8AXTPytTXmXlNh3dM6hNFRJztSCw9egR0pBdE0CjGQOjJGDjtFBsQ5fEArtuN7BxTb5sfT6IgLRPJD0NBBxjDM0ZTdEk9W/ZTDE+W7V3O7v3+tSOwmwuS2y8B1VCZlcIsjJIft64t0XehmO7xwNMUf4ZcVy8k/Nv+uET6wHQBEnGi7KuHQ4VoqA8CP4XKrKQQ4nMSQqkivM1hVJyjCulNOHxMgscA7Bgm+tUyTdNCRFCjkGa6RROr72yG51+wunkYgsS6QewpkKRXGMdThDpQiovO9TV9ft5t4G+wN9gb7A7BAoxkEvmAGi/0qSn5FKbye4Y+7JuJTmS42OVZybgASKM1GFP3Wh1NCPP6u85f9r6QQQtf/n3bl03KEuR9+qFnxP6xTCLNVjdPGkEoxkDukPhpgeiXRP7NKu9CIyfS9WcB9v8/nh6bY06JwxS4r4qavgwyL06Cw0l4YmgE9BNuZvOSjphFHC5teXNDRlbbZ9OQJnXMfC9D0yHpiPitsUSjF2NguYFMbx0bOxG3C9CA8fIewugBi2nY4dW24AYw5p19yxrgpx5P0yHpkPTIRAMsubzVfidPSs4nJbe48BQQyw8WedX6799RUYszute+r2Wo3bbmILaJxq8jXjvX7i+xwMXr6EaqxwiRsyNhuHTeDPcH2MtIEo3d7CmJYT9oTttvnxqq62eR9ZyCJKmMeSgrR8u4oHlBvAGEz+WgeQ0/s50N/RSLH7hSUf+CYxVB2Mgl8wBvsDfYG+wN8CC1lZP6VL0xAMVev1gUExBBLv2BvsDfYG+wEnsxOOPLYnx0/E2kPE67vB+gNBE/8+Kw6Qi5s2U0MOC6D46Mzay0NpqngD9MPo3UvloXo5UNKVCthG3e36TdIJfMANIbrycs3X/TEZiHDGomXnI+ekhACHWoAHvHWUZK/LkMNm76PKABDXlY7tZeAGv30VgkBXP6iWq6xothTTWVpEZfvtm+GpIoO72dkH/XTk0q3oemQ9Mh6ZD0yD3yxzg34jDcJ/fTvTB1ebHlHJkNWxA67AXMmDRYYHk1+wCn44/Zb4WYOdVy9U8a9SkNynBcPn2glmm1bbhnB4Ev2sq0rH8xojTTc0ijvd/0yHpkPTId3Ks7+CHOYCY3rXOGUV5ckV5M0g4apOkKar5p9/MPYUyHpkISZqYT78dq5GoTyUn5gb7XVPMA77Bbl60wzfxEROGYUYrGErSc28DoogSM/fptQwZpXDJiF6HpkPTIemQ9Mh6ZB5J/pp/Q5lsvT14QnmV4JzCt5N7zUZlBR3zFkuZGQ1jcSlj2fwd10fFZeFzGDgsM1pjVSnb+cbv2BvsDfYDG2ULcvYp0hNbx/Vu9RuyJ/46NUx5KFtVtow8GYdPZtdUIcAeLXenkFmgTovQ9Mh6ZD02eS/7YmQ9Mh6ZD0yHpkPTIemRFf8emQ9Mh6ZD0yHpkPTIemQ9Mh6YmBECpRjIJfMAb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+wN9gb7A32BvsDfYG+L3n2LdysZWUXoemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0Z9wINWnybeoemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpkPTIemQ9Mh6ZD0yHpkO7yifkI1WjtmdRCo8wfiny2ng0R5IVowwUZjbZUDeA0FXYT1dMpD6xp4UY1PrSNroh8fYVUDaZ8E+gCFwroXkyHzL1Qko/CAIwi5QodyfL/d/3o1sxW35evzAgTzQhUjZ3/rxC3N9s95EZhH4vAnjqrHjuue6RFNani/J/vFqExP0SZLeHZU7QIYblE0N3mB+ahU5ciS9Dql5OucNAaF00gPuaaJx96934wFHHtLFRCkgc36hkGdKt3ndqaYvQLFPnA8ryqDmjzkW7zwU3ZPv36M2wPqmWg7a5tpRWeaScqRrIYnAKw7FHjmegSteb1Igbnu5ErAcG9knb3sST9XJa28fg1Df5tMDkgV0Wtq5dFyvvgZxWbFB5q2YrbKbcaZ1C4U/0om8Gfdg36FKStqZMiHxiKkMEUNqAb/wpl5ihEcQ4S18sDVY/hCwu8CBBPSRDCiv4PlkEHpBalZghQr+HR+nWubMEKFhCCCeki8TmkFowrsomuULT5Davwc3/v5u7/NdNuWGIc3cpXZRNdnpvSReJ0oYJA4PSJIrY2yia7LwsIQQZdLD3U0KFhCCCZtsWCnKL1BAND8YGIBlrmzBAq6Rsggnqm2MK7KJrsomuyia7KJrsomuyia7KJrsmBry9fGQvtzh3wlJtl606fqi/FOUXic4eFCwhBBMJlmpTFA6gCZV2UTXZRNdlEvpTNJE/B6QQ1nAV3gScqcovE5pBaMK7LwsIZv3MVhCCCekiKpCgLxOa4CFCwhBBPSReJzSC0YV2UTXZRNdkvI4FM74qTSvnwoO7PjWZMLQntYQL6DZ/IaxFDwoWEIIJ6SLxOaQWjFQIULCEEE9JF4FLsDyuyia7KJrsomuyia7KJrsvCwgsPz2hvEXpR3O+wQQT0kRVIUBeJzXAQoWEIIJ6SLxOaQWjCuyia7KJfSmZrrh0yrwu5osH6zqtHDtnKI6n/aYT0kXic0gtGFdlE12UTXZeFhCCCeki8TmhVGdqRNdlE12UTXZRNdlE12S7NIhbMx/HEEEx6lB+XaCuXT7GEe9dPSReJzQbP5Qt+D1wEKFhCCCeki8TmkFowrsomuyiYDEAEHP+OGZcx5RwU5VPb3SReJzSC0YV2UTXZRNdlFKBChYQggnpIvApdgeV2UTXZRNdlE12UTXZRLsnfd6RAaicDmf0rFGx3o2X35YggnpIvE3ohaQekFqVmCFCwhBBPSReJzSC0YV2UTXD8ez/WrVSZfdbMvdoflF4nNcBChYQggnpIvE5pBaMK7KKUCFCwhBBPSReBS7A8rsomuyia7KJrsomuyiXNE30sqRd2tseK8PcFNtu+cNLOIBlrmzBAq6Rsggnqm2MK7KJrsomuyia7KJrsomuyia7KJrsomuy8LCEEE9JF4nNILRhXZRNc1GRUcRsc0in7fpyubMEKFhCB4LRPb9ILRhXZRNdlE12UTXZRNfmoV+CsBN7GtPB9xXLOIBlrmzBAq6Rsggnqm2MK7KJrsomuyia7KJrsmOGi5xF1Hoa9JtA3n1cOJHdy4d9a5swQoWSUFowrsomuyia7KJrsomufuLykT/WnDNKir4GWubMEKDAdYvpF4nNILRhXZRNdlE12UTX5qFgAsPRJv/C1OSC019prsomuyiXi9UMQDLZ5OUXic0gtGFdlE12UTXZRORLhsBrxK62sppwPF3EcZ0oMItQyDnWudVIvE5pBaMK7KJrsomuyia7KJrsomuyia7JtD3r35a5swQJERkqYWBy40iubMEKFhCCm1CEI0mYMaLylRkbCfm/AUej22ZNtlE12TQJ4IPSC1KzBChYQggnpIvE5pBaMK7LwsIQOsqScncX+3S61k5pCZzZghQsIQQT0kXic0gtGFdlE2Qd09JF4nNITObMEKFhBhdDjGFdlE12UTXZeFhBv7BoCzExPExLs003ud9gggnpIvE5pBalZghQsIQQT0kXic0gtGFc1GRUb9uODbKJrsomuyia/NQsIQQT0kXic0gtGFcxLblBMGoexa5s7dbGFdlE12XhYQggnpIg41QATPWQ32SQhBBPSReJ/flq/i6BW6ZwHFBGCZKlhRn+DxRhP6zuyEIIJ6SLxP78tc2YIULCEEE9JF4m5cdJTQCgzjjgC3vyMK7KJrnDcEaEIUo5+lSDDbjgzmhBBPSReJzSC0YVzhuCNBSNuDyU68sZJgxAMt/R6QWjCuyilAhQsILTlPpMQrz5Vj8TXZRNdlE12UUoEKM+/EGjatjCuyia7KJrsvCwhBBPSReJzSCz3y0bO+Bv6nHhDTo838QoWEIIJ6SLxOaQWpWYIULCEEE9JF4m4Bf82+MoAmIdd0svmgrRzd3dPbutc2YIULCG60YV2UTXPh81oAi8/Kz6omokfxAMtc2Z4n4Zb1qSjIz0aX+H3CXgOiXJOyMJ9iZAMQmx9/WSmCwb2tkgeX0fas1OInjvBN8JI9L/D7hN9MFMWqTsfvuZ16rP+F4bSnKHWKOQmXfAuA5jNGL0cClEtcIct8dfHnuDGEDL1ShhraB2Deli3ugehrSPwzuHw9tSjZp5okSZEBoNwwVdHF7uU5Y859+GxthgKOQmvlqpbibbbqA71oP7/w9L8nt8Ic8KP1hL7Ynubs6jgmsyN/5s65+tLpmJFhpEL23JGyt9rCHs6UolrhDlvjtX+RtOfyCTmmvafocZsAW6MoKP9Nq3cQrd8IQm5XqjB0Cx+8zqN3KHoS9zOdPTrxL6a9/tzwSr8d/4Kd9ZkRPzmfEwefn6RrXqHzrlGFHXL6zYInZ6As3DyYUBuX8JNMdnHpTE0MPhZQLOl+TqbP0hNnnw9jUVSnZAH73MuAXakT9KJKjjMGTXvYbcqwoHcHMdv8gcXu676NMwmCF2OJ4ebaCUCepNFynxDeRW50zmdZV/Gup4pRJSKd2XZu9XwmttgqF2mKk2PLU+F+NUq5M5kl+tb9WPHQIZ6Fu/6ymQAUN397z8/Xkzm6BdrVCNvqQehCLt/XsOLd/N4r3fGMkTXzo6IsY2IUCAiUIocZZXevGKpXVI9uo0u9W/sgmlrgrG695W8RtOZN3WF47nWsShYvrGi2a1l4dD0RE4G2k+dwP2lA03xDuSNtwz0XLoIhlmUo5kl73k9HcBKZUHCtb4h1Oa+EUSgSh5uTZ/QgSFMmkbWclCJ2W//qkCR5a6cn8EP3qFWEjfI8RoULjvlDGrU8S8LVQBjc7UcbKlhWJqRlTMASkGvURdEtv2Yqw9nFZnTSUo2hqHisqjRgYDpM1fAx5RpysF9lGYD+nasA3HSsW9kDPdQ2jEc7gYRYKT/8Hbya3f2szF35rPTjPOj2hJlaOyqZpDRHUpZBnXPlPWo5sAACG8FLte9aGljRXQ9ltCdVKvlxKyqrQWoFcbvKtaJyLPRkmqeMItB6uMZBL5gDfYEY3NRo0LQgBH5iVXnuAhCEloKWOiPGSLvBEz9LfmP8T/VtflwbG+1XUeOnbNMFY1gmeUisewpkKfAPMr8cMYRFkhX+ZjHDh1FcxsdPpGVgnsn+cSJt/NYgBbWvX14PlQ9Mh6QgD2etpFDp9q4PzAPdz+hX1cBusnrCMEZGujXoV6yqR3YRVLlVqB3nRYQeHaSInLsTM6SavoVeUCw1fByMyYTDrrBJ2iuBJljEUAS/BGOyewh+7jevHe74xkEvmANip5j7CmQ9Mh7BB6ZD0yHpkPTIemShf/ByvYUyHpkPTIemQ9Mh6ZD0yHpkrpkPTIemQ9Mh6ZB/kGv2mHHNMCZTTnMaJGM76U47hN4EdDIFPs7kEkEq1R8Dr2SWFUL9ZW4TfeIqjfBksVlyBx7ul8vYSCsOukVhHLz2Mgl8wBvsDfYG+wN9gb7A32BvsDfYGuTEGYpw3Q+ooRUwJGECCCNXHUxexrH3pEDdNv2eh0jAvWAPw+haWT2MJdEZX8ZJ2QPNajtepEgNT/hHOFlRCaqPllpeLcY9tzlyWpCWlSagfn17QtmbpI6vDDf7CmQ9Mh6ZD0yHpkPSEvlnCEtPYBzoI2m5Ju0WY8asir/knraTc25IS9e1INBl/IoCkYnu9XlHHXgDsuS6QrHe74xkEvmAN9gb7A32BvsDfYG+wN9cTu/UILb13ZhfoMgcCu57lbJn/uxh1LTEuLQT8Pi64z4HTaFuhaWZlyMgB+K72gmBwUlHGJgtlaYA42M73vjMlvOli95iIJfMAb7AQAD1wjP3hS/qJknzGQhRC7BRGmPp4bqInHOFGzpQIJVP2/BbsB82TNrt/+ZpqEIHYIrMsEQQASdbFIT+o8jNVq8e3Hzf8UB2YyTIuR0ruKTi7EdDrYlkWmI/bTpZud6nancMgyufIvCq09CYpU4g89TrXDmNaKIGIrzEaGgKxGdUeZIJR1iQErEmsPAX633qBngAAd0N/jrc/tOi2am5nnjCjDUGW3vFNNsDPetiPTXwa+7EWKPHjciZsZvHKdPaMgyOdKmdGts1VJx6oUhrIv10vn98/IxIHvAwh+GSvWcq3E0tjhS3LIy7fMHyFHckkPCopYOZ+OmDTSIAAAJzcG6Xg59/J+HEf+btTedaLDTq+mBjzNot/m5aTQ9zygMKtgwgAAIipJXkuSvZtBsiJwn8mX7kibhqwAA6VJ2pXjpQFXi1yq5ozyGUSaizCLBXnl9pPl75gdQqqg/CX22rWDgRpwpO8AKG6aU3CRBX/1RDuQO03NNPzE8vCKMaXHt2VeMxV5gIOcZ1fviPf1Z2X+3sK7Rt7N3h3JlrZcLME4bPQXslpfgZDz6ZrKLFcBZScJ4Lm+yZWqqLbOcKW0sOTYaV5VwGUs79d0+638f0Uma7sxZzASKC5qZcmuVsnPeASJdUDPOn0ESTNH9lttgjjO0g8YAg2GoTbU1dacNCSBt9wdQJpFuqSOlDaGf9Y6QCrsKmRdpOqSDGSk00Etz2fjOGCQ1TuzPHLa7NcIlY12bvUQ0oVhqsHWJQ2t6GTSsQ4mxUvHYyIPj9IZLyIy9Yi4AAAXfKjFfjjh5uV6EBni/zpL5Howl4ftADKwcFolQ5janGuX7JqpIiNmlGexWKUBYbGwZw1VXKRvDau+6sjgHllS2pjD/pujGqaoDOxtfaSOtuJMHIrDAevD5KgN3iW5qTWm/rdgMN7/+JPnVUnULX9Hkhhj7Plj6X1xTGRGopq8GmBrCtRSYdJJTCLK7V59wyKkvIWeVOcNWCKEt3H0IhMzo8S+qfSp0Ng9uVURAbWSYNMWvjQB8IzUmUdaLHX315sVtLC11DhmnqHImSlTAktbyQN1PfJmhn1N+U1aryVQdW1imfcyFbnikrXxcmLJ2bpKYjkVM0G+a3Zgy/RQh0qIJSlj8mRljY5HwsAG4uF6WlUeW/X1AZK97D/r70IARbxCmHCFKuCKhhF2k7L3E+VxxL7S8/3/BbdkEuka2lhvM9Bcaa9YJIn9UFAZSSWg+10Sg9Z/DznNlzUaZ76JOqHf8DL7S68RnxHQGHyfzm2X3DA3wEcHpmchvgIj+uvkf6RYVYiiIIoy/x7MSw2D8qn1qA3VUOVIv9ICM5HlsnbmYzZ5A6u3rpvJnkc43LjYDJ6UCe5Yd0fvoMUQKdzsxHhYaN2l6ZSMjARhiTQyGZCxo0sygRsKRVD2Asl0oj50/PZUZFRTmHfhfdNHrk4Gnza9s0+iCHg9SvWTarrVk2QvJyh/GBCoZFslQnKbwexiUchvhLO3CErX8IOwypfK83TA3wBItiCLYxThzpMRkfgXgYGMCfRfolObBlVruc+sAly9quYHhrywbpmgdxPcDBgIZq80+D3Wy+rspMS0128ub25TqjWKklMpUoOR2cPUfY4NehSXXa7ObBYBdJepRkkJ7BkAEHB2xWC2ua3iZz21XTt98DxEGSwG28k7m5rY4bigGjS1suDIBebg43mKkKmh3opIed9wbPEzxtMOJQFgzX1sWmyReN7ZgEA4HasukhzVhLsw2tA+qtTW4Yf7UjLbQ2NluT3pw9aeVCtpkEEZ3C9RxyOu6QxPom8lDyRl8xmz+TbH+EpHxp6MVzyT7Yc4qS4h4dJuYN9Xzf2D+TlUoZJZ5hkW0ajtQVACjqrDPQoIque02SzNsuVUJXnhMqIFl3DA9Ttjx5UNMUn6lLIagnlfG6WzKnQUXjbUp/iLF+rGs6bmuInyf8RpHkvpa/JbPvsAnb0682Rj+Amte2zWFdIOEcovSIAEIr2BXn8JgAAFfUqhVUKN66RRAFmKFK3LQb0YltKtYbNgi56TxZbhhiOuTs6m6wYGvppSFPLBISusau0FslBVxsI+yqdFJ2cLndoXh0mRvvkFN1lEuHeohXcvNPPUz5Ch47PM78pZ2OwPcI814ocnKJyIVtyE+lBgndoWIORe+az3emInxdLmGOFcysFNvDwyESnnHARifqNbhII5SaA2NnCYBjjWpv4qsj+GScq4pO+w2I2dAem29Q3x79NhT4+qAJfHYel4SQOZUa45BXayeKN0zAEHvtKwnyuKv6CA2k1VEBu3XwnN3yVfZyxBoEdLukn0sRV0Q5QidKXdv98vJkW2sx+xhuGOtFR3yTdKSEQY0u1gOGcECU7cjEBOEsH6pYiV+pQKR1MSd+BCX8n3h8s7o6ha8MZk3zTacDMFSIyXoVUNsm7C9/HBMOUFIgKmQPHRsw+ur/GN3axFYmpctBXXu8RmKqZBlClQqJRvpTMpgbNi1rMu8fjaFsU/FJNKy64OACDNq+kZd3fUGPco12irFWh0iA439ljRMKQo44QuZ/zaCBsDaQaQWFpsPJoZJUEEFfToIFL4tjGz56vk3pKwxxhXmw8FeDtmNjeQ3Bm+0KeYq9nZne9lcjPfcp7ftq5c/cTBqYnridddCEIKD6ya5ybR5XtqvmMHJS6okFWnND+CL8uEifSoppDm+J0NJWWlDyE3br3/UAPkHBPEdjMRgyb0hi/nNZmj8pRxTcYsYS9NtC/DwcTyeo1bVrqE6/tukdmTY5wYTI0nowsGwU7HaOk5ylILphlReeZDVxZ8OUDMIY38Eyu/FDsIGpFbgrhJuNqRywuQGRQF/L/uOTJdipGTCOqwTWAsQUME/18OroKF8R6ovgL+cD1Xvv8YWkjRu4Q4xzoWkpQ6yWyIAEOaxyIAcC2Y82e2UhX3SzFqNcE97iXiv874hrL8fYuPpr+h6i+9nWG8ieM0XRyYx7hYKHtkrf138IzwkCdHhgWSFYB34idSDl9cgNSvMRDkc69RLFwgZHQSRivDCK94pTF+FQgRvnXNCV/b/cONM1gcdeCYeZdDiB4gAVag/2/hS/IqZR2QdxZ2qFfF7GA7r2AKNkD93RzN2ev8DrTT7gMDlgbmx0grs/T3YUKQGgJVtKBWHxiMwSKGgdGOzeSbPs2KCQBk2IDQCEBywqj96QXmqi1nmVZ7pWQ/7yPCoKcFRrvCYTbs69FA1GL7IV8Icb/LgWWMTRDaXkB0pjxyONV9E4X/Dact+ecmGG3w9m99LkllQ/9OqCTuyGcIO+dVbbYjCywr5PS9kRC8y26gJj/nrgzvXvLL2phZyL0hcM1x7F5p0hcGHsOQvQmvnDuJUfQQFoSNxt4bvjnx1eZFkcmhUyZhxhjUCIisMeamTMpnHQECAu5dystbbApbfWubeYnh7fVqgWWu6HbLZAZFaM3nmep/ug9jw68JatQLn/VWO9+RnwbDNnExSXvnEIvPvAzXBQ6hHGLF9wiJG73ey9x6ihLsc4CAA+5PVHVqeUyDuiUZQCATvl9VqxbsQ+JnIL8mJIgQoAE0vYm+Z0z0kBYbJXRleZDFEjdVqVNk+8U5lBH/AcLM0EpQ5QNqhkU5putlLnmxD/Q2Yy/aTj1gu+W4umRohP9TkChxLwrd/FFO0I7PHhnjjPzlN+U9a33bZxA2109XhUBbMvDJQr9lQkp80uvsVlx3rBXBzf+v9llCAOIGZH7W/g2dP8h7un/BKDlBQe/d+tr4k1yFAWEwYnWRIYa9vRDsn3sM1xYVT1714v7cwg+ND/AsIB/nigGiWrOqEYU0sboQzWQYlitqCQZlEkSynl9H1cqWrDZ3QHmNzNKanH/ixDxZWzr0ouPFcuHgRIlH2mrK31enJyGb2wrnvePeekADbsANLiZD4yv1Mye4m1F2ao2y2rT9lB9mSUnpoySUOdl87wefRfAlgw8P8GK/jmyYAOlboGLPJHZwh1C9Sl+bLWe74F04u6k5SK4yj1hGdvngX5bOgUhf7o+FbqSF/eknYmP192xUHI/z5nSfiv4+g2jd5PfkhME/WU3jrGPZ4e6GCyPyVYAZInrrrvRnZhkYD4LxBT40BZztHIur3H/nGbQwCOWrluQpvhfAGnv9ZI0VemIseHYc4HPzjcy/3vy+WQLCUKah1p8cY/zLhI62mKo7UcYAZM2wLn/KT3JK312t8yQ0FkwnwWigxDhLeSXHKwy7zHioeCMUr1Xv7tqxoJBlm0oXkS05FVRumODGZThOlKwgeBZeCQYI/8jm3ZfeQfsjni58p9FbSLSspCaPWBxvT9YrYVyXUw9RzCnEbM1Im+HKZlpc/bDbyHBUAtvkwJ27YMmmm1nJHvjxC/XB+DQGM7zRFD7XZYE52YOee/2BVi3lWSiwweX70REcVxA5RLV5wBOSYkuPAh44aPEjyUqR4tIuc7Xza1glziiUI37aSPZRqyjyoOFRmCSjMnSbpPsDAt+Ldw2yrH0ZvfmDkE7X7NUPPdaLqqNip+N0uT4AnszWSJcmE0V209j1hi+JKANhLNMeholyXMNrMJx4DlroSEdAuh5/w73xQJgyrGesSUdV2Whe6NgVNBVTL3A5jn+Jc3iBY55JB0WJ3R6qgEUketGbP66iT6ga66AFp0g6xASGFdwOm81TMxAr1NbAE6HCprG3JTrvGo97QXWi+f0wMLHKpwPw4Yatg0EACNpFfbGy88xUgJeSf87fHRCeDhx/RvoRdr/bBIOyWeU7sWyU3wtt1jKg9gm8OjhuzhFrZRWfK0pTNeXPtlYnrQjsVErJtgXm7YdOAFv5+5t23WgjpHMsInR0EMwZ8gQJToxZI9lPCDu4ug8slwIBv5dEmfzs6jArqY5H729cvAiDlLTYDm/N5iLsnBM/VoaPteqX6/4pNPkIH40owz7cj2pmi38mQjlPw8mk9lgnvTQyiwvZaYEPxX5qzqacLc4H1Yc+EatQtoXHxqzpsHdclvLyfQvtfDeUUV1c8D8oxQmW+V4W+pk4XCAWpF1ncOj8wUq4KvEFCaYB6N3wjAEvNfEUCog1N1N6okFaNnWJJEsJYgQ4TbdG87vJ6AKgiBuDmpAfp/Oeh8QsE4Uw1htNfNqxYBe5tMq5O4gfX54kng6sCGvZhEnYMH502izB9pMN1EGxj4u0qoUTMDW55HykNKRvoRB6RD20G76a2QuEI186RqKpRbexxZCqCYsz/P43oylWVftDuCJ6/4yIpLHceRyECIvbr8v6G/02MA4e3L5bIWZzmH5hT1HmjN/YSH9L3TfcHtqNrUVxzqHCIq7aldUpK2Ozsi6typ2kqUPWJ7ze6ReQkX2ICm+esDWEzCJ3j0Rz0pp6RRQjOn7NF+j/kavKkm4EZzWaDrLS6kgA/g0k9EaRknv9DSOqaqdzrJy9zCVH6vjcTHDNjjut7t1hA8ABSmIQCYbCPqx4ABvPv0TFIQKz3rq+UH5+dgYTx8aLy4cVLOq9BJdiUVeEjgACyoD8YK5yx7TueJz5xpG24/ODVtO4yrpwo1Nw9ctfwdpW4QpeBnVfWdcrFo9e0Rw3cpQDgDu7ciPutLVwy/KZk680xpaKqcIVdSbfxlrfREiHPSe9824mmCrLAybO6IbdnV9TYtD8uaj1G+nfuIXX3S1LMHM9Sw81DgMpnRwdietflI/oEw4AqQKFevc9hcpayWrVDn5twVE/dJXrwwzAGg0iO4KNv5fJ+gP3iWHKZj2L3GYD1jULop6Y29w1rog/jaEjiPit6KeiVUz41TQHG5UW4zpztbo7IL+fVJqHVEgLfKAE8CIsnYU1cBMFhdDD03rX5VuSMRGyDt7c/52BoHTUByB4cs2GFSDSIJoMeWpWySG4/VoZumdCEarAwBihxbgg2YLuTOfba5AaFLFvi1v5j2sQL32AAChLgHhJwULajvEBvsDjZsgUEf+W9ZEsPyy4fG+4mySAAZpJiuYs0LrBXuuLBO3DyFsK//KcPvDs0Y4XQfQ8pSDUSooeBjhEJe9NnLx4xv/XivuGq143UGOReTVbQ4YlXldZ11twIgQJgEKzfAvXuNmAA3COM8PyLLjA2GbrNrKra3CLUbW/Tjk/IGtyrgu6+z7OgYivMAjkGbhOTU30juMt872/qmEXkbH/r3ff2umce/kDMJhvEl9vUzhkD2CrgRSxF13oyUous1xSbaHNzEXwec4hlxXvMIoDGIZZzSbq5qtmyP+icDnMACy13zKED6YSYgURAfl+0FtidKRfKe+uh0eVgnt4bh+ZHHX7mT3cyqVox8WA2SZ7/R8UuFeL5xPzFLDnHwHLLkvivbmhK1HgLBq8k4BOFk5eeRZFCrXH8I9TbuvoDNM6gGb/+g0nFuq2YAdALqz51QGxHrPi5jzNMYQVSZVTPOUHvAqVR3wk80twIwXrt1raAYIcL3KxE0oyWKBTA9rdnmnvuQzp79Hqtyu59rAmqnqI0a4dgsA13gmNStWCno1e6s31bt3BTTVuKhm9NzPpEoVSqmd7R1DRSbsfpKYq4+GpzxUJIWcq8as1QvISCfquim1HefWXkfnxv55LMCXGrRkWwGlX4/DH3LshoylYp4HsOsnVUvjM2RpBVOEHi/ocIDwkQAYFmCjBZnd6HwTiTcU8kESEUk0ocSGCECDyAqaT3Q0TNzaRqv4QCAAB9Zqnt7tSyK/ey5bRvYuZQcKv9XDo9ZxLpteJWmPkcPXpH+05iKGMf/g8D0ac9PpPX6acAWsLQm7Da9iFpvJ8gxAT6RlNUsrz/avq0X3uHYpz6+YnR1OeJcxWlBe23SvEnsKVl3O8RjLXV1Qrg+19MqZbiM8c7AD3w0NnCUqoKghRngNivUJwiBmKjiTWQKYdVLKTkGMGQortcuXnXqTWj1Z8tsam09QTEp8qL3Qbt++n0AFNkQTH96uE+RhzY4R5cKYw5WjeOsYBBo7Px6Cersjd/HVuRmxOMZeh3svfBmWGHhn/Bq8nI3Zi5IE8CAwlzxX6uiR/1AGoY//+4Ey22AHnrNXdmod3aYYK0qqt6H9PBdQ3pmdEVRdxJ4HoE3a+SqHas4UjyOXQlsAMzsyJfWrYDsAk1zfdqcnAxJA9rWFJP7+n+ocSVd0+PAePfNh4Uj7uqn8hg/h/eP0UNHjd6lZVcMeGYovQK5W1LryxgY7ra9TKJLq86kFczLItbs+z3kywla3NajXZx9S8l8Hih5FzrrxzPp7N6FZEGWF2L2xEVa5zKixbsoXWBS6tOU46iZ4RfKn5Idd5JXSsvai+mM2cypE1rnsL6H3IF8t5hziVQQBvuoG7gUaXmoVQIGyyfhFiLtluwnUbwIJY9XVUCrZRzHlZ09XgsHIE0iorwUCC1ZN1eJbquyP6BBsbUTIgokyHWdwzEXfDyFwcIz8Y+NK33EutN/chxCmWxs3RyoXkCl02u+fFKPnGWoUfk/nEgtowQb/NKi8ncQNx3JfUmpQKsibdhhukfutx4Bl5UfznRC2vAAAXSORejzsPKM5KBHso92kM79crt6XHFHWU8pmkO+Jz7ZPP59V/msAOOW5G+w6X6BkslcmLyHPcmEs9l4zfgD7tfx1milm6fMXtuNJkO7N+yyGJtUWLWrDkJFyOmRokxFdEx91x77JpltNhrBQeNc9vyp0fynN7o1p8Dgtl8Lm4M7B5oAfPpMn+bZ+dOvzVET7zBlmMw2goyJgu40IjAU0enl+JVUEwz/5WGMeiwR6LxAm6x9wqUCLd5Ma9f9yMOyltSD2yxaeRbyNBDHZutXDVrlSJMKUUrFCNtIgP28MJAcgCD6T5dhPDv2RR8eDS8wyJsNs9nSMTWf3QPkrerutUKEwxNsfMAAAGShHdt6BOUTxTZREYt+KGZDx2cNX2r4XMBKiy23k5/NXizc803KP1rJTa7ZGcio8ZykzOgpOf97MuXdOUi5R+gXgCqZ/sAtjsInl8luY8hqJR0zUjFmwC3MWCQsmPpC/5jWhfXWGZloYF2oQdMrB5JT5dLxClCt7MWYrFmYTaecFgE2MFbrnt9/XxkTCAhLYR+zlylW03snMe6HllY2YlV8vrPFEDpKpU/6YIfTAJ64ZJof/fPH+5RvnGvkt7iTEHd1/33cZjPwPxVkqQe4RdjTUrflwUmnUEw0v1y7dGX7TDZl9lrIccHtxQtRriGUKqSXcXEXUmS3cU5KrVpm6+2lS+04D0NObUJHRWBD2sRoeHb3zopgZMVALwgiN5rAyUusxD/PpUUQ4iMTszE7J1e7Sw9vwpxdLXtwyclUFUbeQNYyvd7mxma3QIwaAiOfD0o30RMvbd/J9ysawBaJm77uTRNtWb/eCfoOxJQgvsqtvYL5cAsXUkBlKRLnT4tG4SvRLgWqaCpqKVRxIjuPcp6X6rZuZKHt8yRLcQq2jbftsguZfTK7hYVNePs5wwZq04a6QnQRPpQMA/7ruvgIdceYXClhc+WeFPITVFOtxaAGZbTyLeteCUOoBDWTLhKPEaz/1ZCtzszoQfW53WwqNBJbi1gw+GGtaCsUskK1GFkHvWdtdD6WM5+DI9zg0Dle4raEHiwI6vM4fkHQQlhy89ndM+CQ4myy3Y2K4/0gikttYtYJnE4tz4jzGnpOWq/dA7AIxm5sPhJuLEzEAWZpC0ju3xG2MSm6CgAO71VWsJHVz/Jfq3QBEl8UDEdCgDwHcy1SJS8DDYkm8T65Siyi3m2cHWQZjJGWZfKfNBuPF4sM+2llcqVT29M7MgWuCWvdHzOI9UJzHznC7VvhH62vsrRWi03HFQnpSvykLn+Dek0l/xg+HD7McuE1XOzLOXNNHld8x+rvrhDsmkScCceYOxBodVYZ/btXkFsOoLArrOaf3VJm39dtF3cBE0qS6W4tTltgZCtOms22V68ImHXoFHWIBgpallOI0o0Je8PK3oTYKh8uqf7apvWuIh65LeoaL/L4uJFQhfoGA5udfXn44SkN4IyLPybqnJGFZXXibGyvIIZAE7wMTmhjq6cynhUiECzzSXHNGHpfA6Nu723r+o86XdCkoZR44p0hImzAYvyVtYgi0aO7EWeR12A36ecBlzAj24P89Tug9TezGcxcfkSLefqvfjH/O4w9g4nSkkfThmysZy2tubrS7asglD8INi3DHMKL3bXlYXZCkI/B1p8xPXM1YXjlNX7bKX0wEk+bcPxsFfrNyBR9tBV/fSSDF1VV0oKlzdgST1aETCEksG7ylUxlSwUvrla60GbOKAHa3KcpoIIPg4j3P5jRlzuzn21fZFQx0l4KjstFrlYZNAo3BiexhdIQv2UmXbNkmqMYkunokMgYLL9Nolk9pJ+Nh6gAHB9mbAXHwnCJO0QaHPYcXBDs7/uok+ZclLYXbo/sVFS3Zup/LpXKdWqOaJdy+tDnyXMskh1+IM+ApWos3R8bMoqKHj/DOEN29OuTURjcFCfQeZEF36o+8maPvHleu18rDae66R8WbwLm0tuNoao2+yN35oPVqNVgc6IA6ORLiYYo0wfTW7OC6CR6H3MZpzTO3mZhXzDfbwJWK+uSaRTu238o6+5UjVK6AxW7HsxgyIOdWG9MQcHDbrdWppOAIVXaU2cSRXpFqlHDGFSrLWxR/Lr0UC/xeBbGR6nVb+iKHQQoXUz8wtJfbdFJ7Jy4ZgbvQItNxxRvYstbX/DpxUAAAAm8937zhvQnvTQH60PXRWD/zN/dreNfY8tZ94lMw32UP+f7NddmEsCxvZFJ3ibph0PSm6/eZBIrF2IgE7wNgXvkVLJSYUBy116qM5WrmjMPcHDJww3cAHjGdbdfqn3kKWQnP9k9VUJOz+1HJRtGs7iMZsMhTC5V5QgJBJ+jhlWylNQ0h83Wwf8Ujdkkl+4oN3jUZCgSxPaV+q97H/+o1bvdnZxp8WCG1/SM+qc6JQH1A/T/oK5ou+K7o15dSH2yHdPZ6NQIlz6EJ6GB03NkfnpkemdXvFdPMRt++o5EzisIGpja6LMtQ6js+M+bao6Hoqw9L2F8O4pNfH0+snZHnfS0LYUjpTxVD9cuqnTD+hjmGIMgdHBgoqPIPuYRyOd38Cx9yXwgA59e5unExXmNa66SgYh474UwM5tIG8NIUemaNutd9mTgMCLsu25kW9oFrBPcr4UCd5c3ebRK3LVjxgk0wURehEbZls8wl8UTW6J62DJkm9tQXd299gmSnudmUI2kAMA/Hkm7KLMkqSDTw/5rujGXCHtW8YcTz0J3VxZqgJ6B3H0RCg/TfMOUrwXSAdW5uzO8KmdD5Yr9A7gekTi5Yktq1fcL8+mrFMntajI5DKH13ZIo9yGnr4/8XaJiHJsVh2laM0Q50ypXMFT5mJvVm60SsZsJK/yawAUyHsw+Dr5QjnVyGwHb6OS4/v66D6sGz2sb5DoWVNiPfV0FkDt31s8ZPSVDrnITdOnkjBAl4puVzQkAbXSSUJRQQ6KbM000ksc7W8g0tdlYFDMoyynlJU+Fb4TNPCBtws+W6sBeu766a/v2Sn75Ga6cbStKhoGSblLoopQBV5NPIp6urWaS9+EZCOrdBD7/8tBhSzbmjVOD0TvI++26DEcJlVU1HfR1B39EwFlgSG9R1DvW2OkpGC9A5QQdKFEfnvuoSR1BxSJ0Npw7I1NseqSqacmdzY6hjFugKjBUmtbT2VtmKHoEarMqoV2PStB/+eC7C+2jm2mJT14PrzTzT0VIB3Njn2GVKWpucKLpOQDjptkbQakfkmfLtXAXc5qqEaoC1it8gbkx6hZsPwlQj46ZkkxwfTwVWeKL/6eqWjIPC/D/1k/GwenLqmJHTt21bYQPx8or7IHfWqi3wKsyn+X6f8MqKagVgGAjabyBVa2jMCAJJUi2FAcac2+D+y6xxArggKYx39aAc/5CQ7ReHOUDtiVXv85gRwPIGpaHFInlN/Kxh8HzJU1BODh2xMIX+jXYlzUIJuQKMgqrVR6WJgGOUVO+B5iN/SMgj+UdjCrveeIrKwJs9B+WATlbuflEyFYrXI9iuY4d8XE3hIhkxZF1LnbMQ6fHX52IdBnWyB9f6jhptZeSe7u2GI3u4MpvhfOmB00lmGsVWqdu2XoTH98OsXOo5ZgCFbDUcoB/QYegxZ/dWT3ajPv/UMZoGkZV2WtB8ObkOYRpgWY7M4eZn2Zx6DG3Ia7VIw7bfA9EFOFiLcsWCA4z3F56sVPBdULfdE6QJvt+dq5ABhH8f2SVxn2nqWHWo6N1934yt8vy1EFykO1Hvhu/qjKbLLPkyNq3U+8GbJDsBAdTsMk2V3i55B5sf6b+1s6+MIY+7GqpDrphrtDn9TQk/mjvhnr0xhw6FxsBYE0segZo4QBhGDaUq/YxcGhfUPTa0cfd9QAaAoI7rmlz/uanHmVCPUxai3HYjpMom3fCK3zjfOSzgRSgMlK+UvRQAzT+Jt2u6aSH+BpQh59verg/QJy1vKQe5cB9jmnwL8gi4RIl2k21xQAtyK6RzvxcX9t0MRR3AUO20yOgGdhxr6zAHupfwkCOzyCwgrhqtSlyFgEmo5hDEozgeE4loAAA8jEuuBzighMSeYVr9lwjE3wDBSTqKU1ovNqxV4QPeo1j/Mvg0Mu4XKqiPF43ZIV4+5Wc73f0FelAXZ9WoHwEI0Z/ZAjveV/nBYXCkBAQ4w7sAKEu/yw6R+SldMhO+iLSEvejA7BeeI8+GirW6HSfa98aeJyUV/1DNlPUiaUotq9lTj4zNEhsnHPXtNV8DyADtll7t1XgK8Z3FdanAnRGpxAuC+bWCOFp6eYAl9fvJwi3+9Wb1bl0LMiFNrtKH5LLnUyUuHdzOl6v0Tve8cHqC7SVfykybQCnWe9GahzQtbA1GFGHw/zgHpXDQl3Q7AulH+dMoat5g7YLiAupMJq1aaDDFOrFax6dt95HsZjuu6wySHWia5ClkpZ3Vv5GwAjDi+W/6gJq+pghAJTVQp6t+lh0y4ByNzuyrykQ+nPhhRmdGKfMrfDl6Ty6TWcW6Kq26dZm5VbEyMGAtFbKV/bR6O+6IBL3oNqBWRPmVSI28TNyQWNf9BKTqlHoWMdnfnonsPxVmaE3zQiKosk+s7FQM7Wz2vIp5djNdmF9Kdik+qurcjyHMvJTg1y0TK/ce9fOlQ70BfgoLwuEEtSLVMR0Q4pq5DwlUdNjJQpGBW6o+x/3N7S6v90eYRTP7sYf5CHzuzH81xefAdE5HlcBDpWCJQ5l2B82/D++VHGfZG9Jbub6N/ungb1iPDSPsYb4nvwpZwAGUdq+S65tZDbFobzjcEzANCDLoYZS1sEHjiYqQ7+/6FFqA/NW862ELN76haOlGIra0gN4frneSR8c/zZJO8LlmPJ5NhkKfcmI68kpclUW3PxdXY6tujxggJ59Lr/cY/Kr8UQOFVDf3Nk6Jytgv8fFj+dd7xugKqCwnfnz+WClHDUtyJ0AWFDjQoDcymC99L1QM8A3IdzaubHPtXVzicpREADgcS2NgeIEuo3TEnWdtYRDzXseTUhKxMp2dIjrvn8/encog3vfK/YvtlTK0JkOGMsOivQyTMcsIeB3hdudd/lwS2J7YPl+uoJzMsiwDf/PK/ig+EXM2yiX5H16K6ayhzMaI/RU8wfjuY2PfMaDhtFOm0VeXPXiTaCmN4CIlyj7n8EqzybH6HKgwpaBPQuGgwUDsy1fC3ltPeGAninylSqEMqnKdTobGeoSKDn3/rTPE5Ryov4c+IkHSvySY3xLnODrCroHf6lLMXNLudUX7wgmpY7qCh9a7ke4nz+zDF9e39RbrgtkWi2j0ad4ZkYdhpgJb5xI9dg1vGh42E0BBcdbrWx7zPJgOEa+1h4ZeUyYocRjRgR9tVST8ZVwaFqxjZT6sgVYNvLEacrpUXXE4jfJQ91XAFUqCbeDCOOb1IUTTYcxoK20qBN8l3PyA8ekha7wJgatTSsJwdSzOXKCyzLsDlktwnc4l3mbxNUTPeaH8LwwLToUG9RXEi8T9lzySIpGxhFDM6IWGc8p+4U72TcjRuUCT3gAADU2cJgXPebvVbOWL9fnf9Q62N2SxatnWkCyvYiYIWyLwAWNSKQN+WM0dIctWNycHRE8lOpzTn6Ay0fy5ahn6fGmi4/61Zbn6NVoRzufV9nrrQrBE+6Ns0Ck9jBadjkJn9Pz86vN0E1K/f/XoWrAVr7jdMoSE4s5VsZmPrnNDz5TmvXD5pGFl4OL6NYak9o37vD6XWktmKCzrCUtzjF+ImRptRj8sQI3LtAOthvGZCQn6McOfXIEaKEB8mUs/KIJ3OYx3FNDogx+l+WXhKPgkWujYc76mWMKU8cz5I6Hd5k9tZwG45iEuriU/gQEKGw0nLqpK0njd2QAAAtWn5qCuOShiclAGrEugi0DMee9X9/y+J6gur9Z70SOfsnzR/qLVkA1TqUscgen+1gg/tSdAfHGvXCFO0eXAmtqAfsFIN9hkE2pbOi8smDL/lbZs+Lsrqv5jbgurM7oxl4fl+z/lcWZYjcol9Lj+9rfcgg6+i10wQtrI1vcvt9SbTDGwJRgvhJEJ91dSMtQGJNXaCVvE4eHM/2KnIcxov880wD9dJNC/7ofbK6Zl2Tem1jkmgzU+yGOzekbzHrWhMnUJ/6X7DSXow71reaO4/DVEAr2fnBaTZJHnyL6A9pFCVr/30BVxSlwL9pnhgzXVeLsEX15LyZ9Z50Be42+mKHNydnWgIbnguS7cVFe6El6y2RACieb55AgE4IDIQbT/z+Jgz7g3bCq+mtRNUiQFpU/KDkHHftnhwzKUu6CLfvJ/9njeFz4Y1PapMtzlMIVF5j3XD4jo0+zkCSzwbj2EyPLxKvMrILGWmRpiiOwjAOacPRahmLFyagTTrL1dCIJFhiLNvkKwLiE59KcczJu0j6e1mzhHIwsu+NtTjv0JjcTvhzUKTbRKGq9cGqr3vOFk2HfkWzyZpy1ZXSU2aBVunW7iVKww+Sh8oUhlut5AwKzuELjKse5s6X6SP8yswwVhkjk1bMY0jYHRJeOmWuI31IB3PfKcMGABhOYkSto3c2b2rDzV9Rg70QjJcZBTu+SVoMq1Lk9AKnAwLktzrdp9iP4B+hOybtB1S028WzPqt3hKMMcigoKOzy53mCB3F5T7mT0rMGtuq3RoaTBCgACpmgWpO+yQBn1XINOanxLOxwNLp36TQp/rAwvuv5KwwIU8+jqDHvWsGLpT7e6Ks9CQg46c/5j+yloRPhM1QAPaRhtCMNa7J6rnZ9bvob6i5bxYomChMSOdI7RmRJwkh+8Zjs561D73oucsDmHg4/yB0OJyN7r4+MakrGBkU9awvVrE1nmyf89cxJo46RUNSMvyKkh53vLoKxaln1a9BLc9FkJfMpx74Oun3fXb3lglLuJ1i5A4h++EQ6ATZwJTILEdutNkvCL/+MV0OPd7WqeWmpQ+hwv3OQmktuSENnzlcSPN+Zz4/aMXZSUTOZNXF3i5W1fG/K4q/cX1O2Dizm5bp6+nPQ1rFyvFKBJUNRUmInBSArdgMUJS9gy+Lb8/K9u3OVd+Q/kSgjjCNMcKEyt1Mh7aPte0BKZ9KFjkn3LOB+a+NfZ+78/dQeL5EwxzM4+BCBdYloYfrHgR2fHnERuv2oxaK+4t4MtoUXOgFO6dRiSk0gunZoEEQUjI3nmpPS+xMyJFPmJcTKzy2YryeygEvXxKjdFgyDJCSevQ8SmfYsO+PcvDOrcWkJ/KIO7tyBKb8IlzfAUZoS06gDB2lUBekEn1HvOrSMNuDnEFqZ4HG4TPo3QFa67ewIJpzmK9UFAf3gTI7y/OiO7a08Wuibew165v22CU9kewQMuDHAWMPFbTOqXTnWpV2wf6MD/ZgGdDNvrcEsO8KdRnPxDMz8s8ZZ2AT9rcpKlkdCBq1h06il4hbq44jWGaeetTJEkXuakiTOBbIdzobgAKdJAHgUlbsfHOxlua99lZ5Ax/qYSmG26PQ7rn/BUFQOsXTMdJtwFRWdiHW1k/VrEMpjH183KM176aKz5MtcLjzJtMqShHQoqRw4aVplFgJR7i/iGXolqRP4wlPZzcCW7+sSgZrlEN+TunKv/nlIB9yjsyhTwRnqiRK7rL0f6NCgzsYJ3FHdY81vMLKYWCwh126/tEaoor5UcmnnulkYGVRPZJ9Os8dM48adGTONCKU0v7TPoxaVfUbEu3/BfCnJv0fcURyUtGigDCzpgmhXHHp1AA1pjuKNXZRxlKBCtjbnCC5ZtyJMMOk/lYEtbk2J3GtJJx/SS8V6RVfIAAApf1k1GP7bBBJw2i/uRrT52GiMHXP7L3y8gzdlNB0bcGosuV48RdZyosFPM9onBpwbXD3uDoPiQdH5JDmfU0STjIsndbZ8Yk5SemgW4B1GjxxhLb66oNkvI1lR014SiBVgTp1OebmyBeyvbYBYnzneWGZtPLXaeGwr+OruBHRTt2ehb/HSL+l6HB1hb7lV1pP8AYcemcFJAHUKjbQ7eB4+yBvZeO5JqP41Juk0V0oip5X8jmViUxXOd7xhtLzI4xbpnczunRUUMM5RZurDkBAj2uV7QZvPLHlOkDWWqkDq69918tRwWusQESK69JmQ01/mYNnTweEVcTGxcw1ig4rMlKYjQyoJY/fxeeemMjvXG8DICpcP2xqj8JQyPcBhEgKwaau5nPGcxf6Vfx6QpbFTiRNbFU9YE3qUbmH4chzY+CSiAuwovEJ7i7y774z1L0Ck/l28axpDR2ROqnacJT7MfPVcRGpqBQD0w7DkEU0w8rp07Sz6YCGmANqWSjnAWbVMPBlUjwFdMV8wjjHcQIKRyKRwHlFJcCVp6ZQLUtgmM7zpTYP1AcvCXQXx3ahtRtKJyosakJ8bFZg/IQtJ8QerpDs9KwjL/TLQ6At71a/1C/QsUguNV4l9gFswfFbd+BBJ4sw5mzFUNE/a0yZJthxNju8UuOilDCt4ItF0gGDjpJ7Y6i/Bf9Thkh6mjSGeONnEueHgjfHI5P28a57NGU5WSgOZ3u0wAKoBPYMTuxKHpbSB3BqYt2xmB0Bhh5WWSEjlIwXDafyOfVYuEn28ENlFTeMiwKQeFFXxJBihzezV3wjA+1OFedHr4j2ZjHEvdxDR79TK7g+K1CKcBHhKNRFuqctWZjM7dI2diewSElOv36mTog+cvNZyFVjFQ9HpOH2XSm0BdLg8YpqrG2A1UeHG66aIGze6j8l6sC/2+qiix3en04F364xxZlBjhQ13BtNbnKptOOz64wPciwzTVre5dL7bR3B2i+mCON5F0Ctg3L3LbX/gRquV+fO7HrpwPSn4ddjxN4rRvMNkExJLxd3wOUeJtnBVybEZKAKN1O3a342ECNEkUQ4D0XibazcpeZRm5xeFxOWgmATiJYfZZJO3uT8xphlmvNdBaXvTh400JIKRHhSf8gk/2fFNO+A3bTzFEjHYCg6TBNdsWnb+KF+sEZg4GlvAsiXhwqHlcK90lCpnZYvD3w4yuZxy0BoFreRGkUlUQBkT1lu3V7ulojZ+U75vUwr36P/exs+eksCGvIlq+rWanh+OpWarpMZTvf4cFhhNDGe1HBQhsUUDr5zrs1UA28GbWl5m4LyDRGCEOoz74KDjTYnbHQFYq5JCVaCjlfnJ5f8PU8efXw/W5P1/WMeJ4KdAmHd9oc6i2eHQXnQ+cccv3sL8YRHOuAQRFp97r1FrljIuJsbjiuVJSEdWS5ZncQu33FaWIKSYxccNtfm5TD4n8i1Npcr1EQlBhzaGqo3rsah/2+4zTqDltSKB8RBRag5hkUK3e1cdDauA++1tsS8f8aebHRv5Xae5xWSNlMy6ejaeHsary/qw/vdyQafRMaimthNYGmQvHev1UJrbXrwyUL9b34MENKFT1lnpQBPPNKaWJT/MWmcFk3wQbptr2MQxzsEjOTX0v0hPYabo1p97kxMc5xX84sS7mTagItRg0JHkY3NabZvxtLH30UdBI/E2Ndv1uOXPyV3O+gZDy2MqNLrKnKwF42gJxYLlrBYaFFZ8AiRO3a83fcFc3cNfP9GIgKaWkyCitjejyaAzXI8RkdlHcQJ3KGnR6tEZ91FKqq6HumPvrKCI7s9XFy0H91pJW3OJSoBLhrAzXYvF53DgN6H5UHnf1BpIWnItCjCZOt3G2echg3nRsvzN8QWSUAuQn+BFqQ0eowFguMFAcjH953VkFHx3tgaDDJ0mN3mK5/Lfzncm4D5ZnKanmZTLAhaet5Iy6vedGQ0hJCvxYzccXeFFfzqWwkvivo4c+fiPDojihiAx7eszl6Upy0rhgxsN3zE0+E5eaSRdIpJMoFu6A+gaLzMcdS89sX12rY+xuE5yc/N3OZuJpH8iEbSeBaedBtpwmELd6tHtdT4dUpY+VAkwhbAA0/5uH/MOD8amzzVa0tKouczO8DjG+zT26Tl+u48CUJOMuaFfwq85tlns0B4M1vkJ6lw+KmLwGsx0aq6urnavsoHamKef/I7KhTJmIzMHimcTloCD5pJWKWl18X9GQcPe5J9rabHNzdkcsRnbntYCgOzBHYqqx9bzbpyvZf46V/GJ07gJYPX4BPRQylsW1J1VT2O+wAY6UFxq2IxPjIfIRvsINKJsWUMpAoF5n74AHF2iH55ffolGxOeveOeDMRlru2M+s2aEFl3ANDnUn/3vHiODELFrpoe0s3SdsTSOnNXiJIAMxqN1025RbbZ3z2gJUXsA8dQsKewY7hITftH8lViBcDlLoAH6C2kPSgHb/LJtNAgWbfUIWkACRCOkoRmOiBTFgf5mES7FGAwXuUWNP3Pxp5Oad4aSH8Oq9mK1bKMuiFH26t5IXETxdhgB8sKs0SgOMW/9EneBUWrYC3uPX9Ks4fbswpkQuawEEY1CS944dmnH6M6BlBTNlaLLhKjB+WuX1hYCt2kCGtc36gB2nSVbUQCAhS3qyq2gqSvabCyTtxNBfDDMw5Eb5E2StttNDK3H1H6T+B//SejeW8VUrWZ060Bv9K8/AgnUuzRboWAfC088FUstZKyjtLbM0yUrp5ADJVxrAFftKSfEtCOQGmg4+7mRJ8IZeoEhoTbwUbbbTwlFDb85+sDc80WwHJqeppkbum8RfqI0sv80rGbcfcTnaHq+GB/XGsr233kSTnRxtWtDANgE04xNTwCybi/AL9/yRtcgr6SgdapV01wYYRHlCRixtTND5MGm94ZbLNSX7zoNl931TYE/kV9UpLJcVKxHbUwQFbl91CzbvDIM9w97uVjkAf2ijU0kcZR1Pz75+4WwxAtICIWWsELbz0cTZBfVjCIYRUsW9rbroOfKjynOuPMFeM5/i349qJG+PqrPY/xPZVMpSoyTRhzXWH4PzTCoqfvvrFHOd/F0l3qmvV2ZYtdmcaXlqIAETQsaLeh3UY3+mIV+i5wnkfFm8BPOeO7gr80oC2seA1v+jQEoQ7gVMKeUvlWRcBtcQyDpEbdj7uP5ZCjQG0E/J1lwWKViwUG7I3aC4BBdA26txrOHYPd9HsYLc70VsBlvcYC5OgyTFrtqp0U4d7UF9/0R5Yvrl2D9nmnPLycjAN/XEIk3pB7U8elGDxYVqV2W4Fmo1IU41GQAbCdolJG0ODx30LRJrRQ1T2gXKzYmZBEwIkXBP7VOftuBLLPToW5IsKvP3X+pQC/orkjz6rngDuQp+zt9bCpa+Ef+2v7BOelDPD23QbJ8CABlZNiq4DcSkvgiWy4I7jvkxJoWgAAAAMTaDDJa80tprKEjmCfezyDUl/3RtEg4uve8ZuHVY853m7u4kJEzKOts3fYpcRYorNOEGbhnaUS3bQPihzqK1rRn4Mqm9Hlx2zffWCGHBpHNKTR9akYeexZEnE5uUuYgN36SntcqykQPs/oDlfPJY/Y2Yz5AwpQenJQPKCcf1FiA3Fe2Audc35Ky1UZOBhCOgVGKA6v154sGF/Y0rN1bmNz/Gm6ivy7gKdf62LLn6SkA9sUqUaB82RYzg6tDv+zFVu65nFtyOiRXQ9D+CwQFuQXg2CPHU8GX/XhIbt5p6CI3/vFC5GHTVh1aaC480N2Bh/ZghE8Wa2dKnCXbEb56SLiEEwKTwKx58/t3vQpiFfFFSleImXMu7VEp54CZYHsXBrFn+Q+YxJm4QFqEH+V/L2eh3THEa+vBW+1zZnVst3gtWf1A/3k+r7A71zmebw9XYjDV+OjNPRmHM6GqiMgQkousb87yiJdbe7HR1yEnry6yidRAgb9RZuO5188BQJeZz7b43eewGhHRjiXw05C2T1xwNmJKUj65c//iaa1rgl9xDM4WjmZaH/Goxq6moSVDejM4jAF3tCcp6we+kQcDVNYE8toQ31xQ2Yx5KjQfaA0u+wlOZ9Kg8bPWMlYJTulViQSIUFpK7sJ8wL6QGU5Lb5Dyrvp3IDNHYbL1Vaxt4Y3rB55dFI3lTwtofVLS+vjm0kx5fbJ4Y2HyG0VQ74rTW7VSWPregCvuyKQw5R+Xp0dAvWvjr98BZOxj045Dur7EeG7kVabUR4N/6juo4NlBvewyuBYkbLNhJCNtORyXZr3gxoTE1U1lg/vECzQW+ac41ljp4KLTA0ovygOnlWP1UJBgySa62fVmSTwOQYppuMuxrn78q5jXxDUZOjd5UO2WbAl43Dlni8jY2RyAOguOM+a+rby/K5l1mO1LUKe5gdh/vUIV/O5qTuF4+C3hfthe47lllkp9jbo0qw7/yTY3GjHK+vIiCmHgLG2gx4c4ei1bjlsSMv/Lnol20w7ty17iXszAE5oefvcqkBAhC6xQv5KFKOr1UNEZlaOYnAH07kehTZWxR6VvKn2+ht9lnoBvExB6CTKmwI1O/8k8c830idRu6gYy6ZmhGTlaQzMnKUJrOoSAlt8IE9Unp8yM3gNgBwzHeDE7YKVGWQMZykZibuE3CP/Ji8J0fJCCALe4FcSgojUHjMgmtBVAcDtnL/67O/geMlRi4At+XTQqm44ZyPYXxwCz1Xb+MS5TXg9VRwRmldtWuFeZ49NceNGwqnWVnYIeKnoKxVVPAc/c7CZZ+eGXrc2V+of3xeRHFzr9AzRWWtn/sbqKr5eLrgntsK1adrXTLRdhmbfiwMG79hltMs7o7UI4o6BYeb0yg0tSwx0MBwSq1DL2bgs9iooZgtvnHwIPmhqQgmWfgoz8+mb1dqx5qkGAQoYsX5ufVqhA+p3DLoHsw8k3TETYZvZTahzoE1y95giFW4m6di37qdKYwe3ovCBsQviSYNQ8kCFCyUAFR0FQelWzSlLOOFCtSsslhVkSowLLU3kuRpIrq/eTbW2Qh/krtkaysZ2DrkwSNceCtWg0JFPY3ORik7iHoAaA+pmArm0NGt9lPy65EleCKUB18ZT2wSGi2YS5CNcVUnh1lZJkRkSf1sSEn9B65mPn9c29AwN5xJArRodmbs5e72J/bnILtEfnGBowZW2zjxHHeWxlQHhr+Jg9IEpljStS5AP2o1hj0iYjDtXs/ztcSW7kgCqS6vLsJJ86FVJJdRDPL7vMDPvTzhLr4mNT+RlTSQpV2ywGnbJBLYpht4sY/mdAaT2UvsZzH7ra5jT2KhqpObI5cInjMTwmffq1HTBkw5qVeDHuFkXk8cloKIMtAKEz1dDKnsYV3oxJDWkKCE6PbV3Kytn1RQJYdrSBn8OFv37A52u0NsUUOCKLICDdDie4EVnkcie5xqOUd/vkU8QIzqn+PZcGa98ZnFXPD4lY4JXDvzVGNjbZcc+ChoqHTe8/FCfHW17yXXZ3mYuVr+e/zmURjkDK9lZi2nbdVk1FpTfvXnAPeKlOh1ivjunP3sXsLLdRDO7h0w1F0v68rzxypeR51bnJPLf8Bsup0NUr4tdt8CDIPWaYrw++RlYzeMJMU3UgqrkaZtCIZDUTedPmfNeAoiW0m00R5UxT7GYQ2B07YSlSg5LkYXldQYbtqreGV8ylHRDbMFDNZMrJSn9IBiTAdckAkS8No5Hcn//t7zD7+ONNaR5oN3OgCFQSQKXZ+3yF4+hrKka6clwek8umKMc5HnmN6r1bx0SSh/kIzQB4hHUzq6spdGwT+7geyBEO5aNqk0Bodz9e19HWpCCWHjzw/vZCYf00ILrR9QHbuh6yuG52HpG96AObWeg1LM8NYCn/iIycjnQzPEOpZCBzaqXCTPv9aP1jrT2XcF8vu8cN0WdOQxpPm/OiVXLYvnE4eeoiG0MLMG3yjfLn8AC6V291khTisAP62WYjwubEwnufMVSTAbYtpMtBi1kCfzatKLMx1QfqGTCbjynenv5tBrcXZC4gtGWH9tIuZuxNCocQrPwShv/1f/OwjPrjO0Vg6mK+HunDfKHB9MD3+kAcc+evoIY2nQQgKDD+Qy8mfhDrbxVkK9cg3aQaNGw5r3poPi3LRtrUFuS2OUuVylliknUxEDmFseGJNGPTLo+tAiBPrBPJU/ZyTEEgXHqg0yGvrn7L8EuCbqgCstqHMZvDcPOjCQ0RJ93tFXRw2Bf5YhvKT2nMCEgcUVmNu0nNcPfMA/MtuiHvoZa42AziUR67hB/mavpRA6F9hPUkn/Lgyi8EoYWECm4ys6enNAEbmszsuR9q1TSmK9wZZmM+ggavwK5zo3KYk/h0K/a22bHysfZKSY5mYH9g3+qK1Gh1D91589ku/DXJJn6VnXUQUCJ6nvDU4DM0mXaprRfkJPgOcAkVoxju8A52zI+Eef3BoqsmPzrPbSdUKYs3zM7cSPFvXQ9BgElSyqoeqv+o/6yRKKJPK57ugEVds8DV53UwnV5SI5KbN2O28+dAdTfRHrn1KmmLNJmjGVOHDDMyrP3hjrbdDZDQRP5g95UCRaljQ8++0FJ7rilRBGIu5kQjoNcfMTJPPbiIRm5+YqV9NB8tD/dzfSAwGaXxfITmGvXvc/3m5zmDgC7GS8raZUVBBr+9N+S6xqU/HELNkEKbX4EJID5uEx2xGvq7WMot+AVBgb3dhMfZ7WFa4I8w9uo2/fNGlZ/RhBNNuj0Ml7vXKaLUYLbWx2IC+9/+ys4r6dwwy/cZP43sRIW7aghJRdcEkBfEXEMCS/ibOjsEVtZvPQUxFqyci8P6s6ERoTygTXWbFKOKrFIy8UTlhHSxHgQz8D7DaURB3MD09bO13qHKH4+ztvI9nOLQmAJNCZIpl9XlVmItsaxbWK/emjYyUwGbymsYis+bU1ZLdHrvnRdElgfZMETSBiR5Tavu535bCT3TXoeHIUxa+N1PYXmImiM7cgEHKyQaWkOHEJL9hD39fBQ2U2XsAd2aPBo3ndrhmpDrXQ094c4H+WbjocNOa3jzUOwXFSMmVeUytmGrIlSm+sMy0ANg4A2+ZKO9Y0XNAeJaa25sUksUGVQPV3HS0YmY81aPsjcCYK0K1QqUdfSjgEbNbgJa+Xszxv01NhjVcg7u+l4uGepdtOppBf7Pz0QysSWdidcJ7NR/bXRXjTwoG2O32/7kjWhqBnRMBSEcWO6PPpGTDpFLsuYR9ax5bHd7B7wQrkYzcD2JUfdhYWRVQfSTnk1hNHaF94WA+dB7Dn1JuzU/h7SRpZQzoDkeiAzgDkWR41FmvtrNiDLciL+3wziu8HiGM1sxl88FIIObpgN0ffaZ49MvzGZfzApBRfcnjR1HK5H9gszN/jbO/9H5qy8AaMP+pkq86aSHV7EQVDV0dOodlmNERFn7GykcHyINfQWNFjAS1GPwIxuU8ul6fvifTx8QV+lgHvyYMgU5ldmd2xOK4DyZIMJcHliccFyg506/4lvi3YhjrLJYBduUf/35t1uf3s6Bz4NMYMcR2XieSeh6YJHRDeUFao3fyAQgi0WPSMxN0kf75QxkCPfZojC5mNSCz+w+Msk1BTwewdmJMT/akLbeXQd6FVtNayWjw5/CUfdutIg84a5Vwmr29PNIAdcXj+hE/SEX3190fjc2HZEZsVhqtKwxF4f/2Vf4VcXCquOX0Rrq9hKve2sHN8gHHlsTaQUpzu6eT+Stod8fI4L6THJDWiJJn/Aw0UhFlow+2eIEfs4nCcLYKIw+cNHXL7n72ad1F7OvQS657DCwawaOajqgUUFhbEl0OI0yorLYqXNPTq2WL6jG+mpfK4j75AWiOAFM+kVLyN2D2XrACcJ089GozAvmfrhLDR6/y0hsAJ8Wh1lm76gmTlCwxHeM5bqCvFOWn23989UzEu2qVXli1LSSBz7DzQerUBgTBAXSC23gbybaxoGSqrlDIAEllhsufX+box0ChfQAcCAZQpyQXZ98fswTXVh557ji3/FHW+h5tZdX1Gwj3tJf63EgS2Kuk6n428yHJU4z4r0JywXbH6soqKqFz1bAplHi+iPKcUyxhK0RPMaJr6UbmM91XXAznM1jyZjr+SwLE0FYHACGxpxfeP/X9vJCCPtzkN9d+3yQXC6/GkohoMkw5bjrGT7Kq2S8OxmdsHZ94FtjxX/YpiwdA9uHoyjgXz+2/od1eohfYjqvZGTMvIKLoRY5dTioPGF2AXZXsEs6sjbbGGB3RKsyJ2cNYvC/fAmBGBhIjTn0ZUaTh0RbMYR4IuWS3wQyj149J9W43gtcIvf0YNO24AeybaSp9//ANBztynqIq2kbAGcuiBwlKupDTMcizdDfU0wWrHDJsU+iYMKUuDtmK5bDN/DBzsF3CGBg5MENKsX35F8GChTmJQImg+VWVqO/EEMSWYehOM8TnsWrwGCBW3TjCDXo/cB8QbB7TvMC5G1CVUmOqquYFjGGOs7l5hyk/O02q7jmi5kYX5su1a2sWWd+EfZ7+iFaZSErwGMVQ39855z3htgk02D9KkbKmUl/lOvd4ufzdbbtgmEG0CEEoV7IXpYiduLIzNCxCtGuaEB2YY/avKJYsak+Lu4+doBGjct8+zbTqoXUpjtPZgZx2DnPsXjk8T8iH1zIKftcnwVb9WNCvVXXFFf/xJqeiQZVR8Hf0OTGORTPLmgo3lE50gE436L0LePKNWiMbi/JegufcmO5gSFPUeHQJDfv8n1iDzYPKbv0gqF2LSqIjz4XhJcla5a5ne+8zggKkagmnNyFHjhz24LQV4CskdpvXXwiwZ2Jmc4CV16d+15OoOql1n7oP7By5MWPnSdGpRMI/fkKOa8WzMhC3RHB/vzTcaS4Ec44Qkx5cpVl1VYTwNUq2jvYe7rFw8CWz8zEtLCHVPSHpjtPG6D+E0dvONHSiKMyHk62bGHh57FwD3kZ6F2ge4M0kp0GuEBWXhanMgrDqcdTW3W5Rim7L8b9SfWcz60ZHszuHs+OPQEVwF+5u9YbnwRVxVa9JM3C184nX54+C44e3TYB7AYEsdWCR3aC6wVkhN7a06fjfh4fW+eChVOOmhTY+7TGFAXqhKNhm2OckQ3EP3/l53zWWokRbITo7E+3W8JOLQymQ+odyrEy22CrJpla+xIKQK+QcaSwaNIm9OZ4QhiBxFWZuaDroomTxkjP719otfCvU4+P/oyf7o1N+99jDQ60YNUQPFNYO2urYmYlN8uJJxJXhRnpVlR90rJoZ6dy72csY8sRWKDmIFYZKcHM6VFdT6qTbbNacCvcMFw9otWPjAW21sqdyz+Txnf14f7n6lPemAsP/prRwqqBphVp6sZUcIBxqZ+jebnkjLueJ45rNazLAfRI25p6K/bk8tkXD4mk8JcSURThEJVgcCxKV8QSZneUDPHWo0yeRDb0Y8HQsKT+Oyr7YT24ACgClc7ATgJjPwPX/bPmrrC2hYKDPU6WdbF0KD6SDn9jtdEzJk8zET7gFExZkyrGrw5ykFGbJ1+/A+i2IocUZvg3ey7zPlF0UEpcWSJvboW3ATEgFZPZzpmyBm/T+99uqvXE7rzy8Qg6pT4HN5PW73cuoauxfaRAnLab2URioNtRcFIaFolk2knhmxLSmJM3A/ugPL8N663my5In4Lg3aB/qqp4Kz9vId0PFSZbjsujHtriFAiVOEVPp5vOXp9N6McSpJpcEbwSXpks4Xk25IQdU5blPGrqy488ZMDLyHSjbcaOIvua0ethQskE6it1R20agGw6KyOJd6VnNcrgw1G2WEsrrnl0VyDmJx/7iX3BY72Ia4SY9OaX3DTvKi6BqFDQpSruSBJWT4+N3OJWBM8NtdTfkxkJ1rB0VbEGz739b9BMAFmEm5txUV3p1GRuHk7fxAr/f9BtewrUP/SC/uIUwcfQ+BTh5lu1Pq/8CVQAH4nZxcu61/ImDSLpA8JN8YZc3qkKJ58+imZinAiABrx9SI0PRypxRWLApbQUTTwcUB6Fx+zEURLjC0znQ2HxWSNowqFSk5X/JCbJqxK5gELpUB10Yuwd4oU1ycFahlJYqXaE8vP0a9OOOW+LmjQI3qS/CFso1eXZv6gWyI3iwGP8ASIxkpiLzc/NDW2LqpxCI5oBtx6ZxjiJRQf6RPbUdwfJrEoVb6SOyVsfSrxeH4JtrkwlHPz3vkuTMD9qorlIU31HJKVDvWwXLOXyKvMLVYCSPFBKnp+FypT7Xuy0dzEwCgH3lv1kXfSS5psGQm9ObI3qQXXfZwkpy3DapEcHbXBOSPdi+QCanlen5xz9tMhRzB6OojiGD3TirroJOWjw6bstxoLbv+yG9a9Qpchugx83wnEbxfuZY15vr5+vEsovb3V3NsbYPkqOkEzjZ4X5sRydBqttj+rzAH9oPO382YhQl5580uA254BAEl5rdg/BSegk9ksjoE80qaYA2JF0U3lPSrMwIYy8Rm8jd/zy5H78m201OOcBAdWOeP+byC/MNJe3q2+DPEJ9z58l+t4VWd2CE4iPTbSb+fzK3i3mZF7tSHtChdlVaGNFdiY92fzoTQLlZ8zp7TWisIKPSfnZVH6fcdeDrJkp5NObbqxfex+Kxx5dQV1ryWnDnRcfLYuoE9X+SgSK7jiEnNcJKDASohwp1qe9vdoQ536Zz+iw7r2sd6pVv22atO1aKJgOv89kS6zVrDGjp9M6T1Mja85oE3hWHUDna/tjedxaw99fpjjPI4OSLJL51KEvbOsHLWszlz9aaqp3kEpDTz3+/6cYVRAy2yNvllh5SrnkhSIQ3PX4PdwOvzW/0cglAhVP3hWBDi3eKoVTgvkpprOwa6SBZlqXyBbZU++vYVzc9ee22quRuuTj7pY3p8FNtgIwVFP69srVTHdW2wKlCYZd00h2AkT8dI3PAxBsazXG1AHItJ4bp01PA6pvuDKVE8Cug204Xx3jQUB7vWaLAmRaKmMYBdqRXyT77DE9y8xFxG6QUfS9KgoL4SP+Ll+mib+kg4XiqVFQPlbB8Jca8/0pPaA5aN9Y7EpoIsuSGm5V1KQBztggLxMDXcGShiIPXDM5E9/K1n/t8RP5U5cCg4rPts4todL+GNQZaFnCkNhdHglbaT4PPJCVFgHGmnCCtH+F4RpHJewukZj2q8J3XD5nOFrVjbbbR7+bqsJ8exWc8iCe3PboLMx5V5K0CuJPlMaqZTIpYJBKC7LMBt2YX3K0yqVlbECHsAtyKz+7W1C0FFrFtla7tdVwMrK/HQcvjGAe6E7ahD8nSwKLVqxfuiwaetI4ZhJ9YmTaDK8EC8Xe11necEQW/2Awp2PiOODDD/EdrOYiKoAFpFZhtLzQ7GktbPTD4wStiBv+DrgKC11xkoJspp/JvjibAHH3NAWtd9N8RyB30VM5aXcANIuOO45q17KVCUHssvvv2HatvSqcuE4AzbGmHbZZWOvCy+RZbNQAVvBnbED3HvkMzoa5SEyE5BD88/xH6aYlmU5j7vz9d9Qd5AbhEouvKDFFdO61C9bimU1ItLz6pkWzy09ZPYPlqNRyHDhEGXSQ56aePXE2K67+Fo81Z52RmOFqwZ0+HzZxey14ikZ/z87JBivybPggEmzEvAB1qbuHkJ57uBh8wwtwUyaUj85utsCGvw5YhhIc83rqpFmVgYezAs08ZEw5y5dkW0yUO7EW0izpmxq741DDCgAIJ6sLriqP3U1Oo5U9iN+1d82dyAAFqwi6MnRye4trjQX5AZzkT/UxK/2mLPaLr6llpp3FHRax7NlsHy0HWWIARq1b2pZnMjWFfWZBmVRZ69+wOPnfi2hUFC2ZQX85qnr1LtgwKZCzXgJNt9bhPLO92B3MSK2/nhc3jklBnY09+ZRzXjVV2jZAa1iiwFFj5SDZREszAX3d23TiCnDM5Cj2oHeZsaY5VdplN1TZwLiURWvL45nvLyv/aE7kwWpjrahfKuuP2p9+ayc1kJt3U5NqRitoNUBEDRTJZR6PUYc4cZD3iBLqU4Kk4i/hZChdK81x3ifG2IQqwAmrIBU+xz9mxNjokLw07NAtXw+0zVuCzVykaikolRvc2AQDeIfapEYg83pJFK3Ibsmq+pdwK4Q4PMChXklLDr7WM2M8lCc7g3d8Pql0+jaRybDtSNjV/HoxN3U9v6UGjrwSNNnSekt+Qt60v+AB6IZjqwkkV+TjaOHsMBuZsXzA1T8NO9nqaozz3sEGI60WwmPYoTgjhr9RZy0hhdRlxhjha29wWzTycpHkNEfoSMPxhvIJB+kh8hmFb9LaC+oT1VA3/oDx790qnAU5urltk0paH6pcxH4Bsj8DiVNV9L5km8WHY6uBHh7K1tfGztD0pDKuAOcvM8oIFJpCBmDVCgN/rlqX72kDrCRxzg0BmgKqwbjydxlzvupK12umu5J/Sn/Hs0LDHZoM3IYbrJ//Ll14WSKioHxLUFNVR7xPInLYY/mj3KBshiiZXYtF2EDcJFlmR1MT6v2EYfg6jglddUOpIpAs0+6AT+FNTYulFFVdflDci3VTUDGgQHWlmxg3iFHT0hVW3zCP+pMCV7RFrdSO/09QorGBzrpbGvURuSCaB9X545xS3muefsF2lrIlfzE6yY98P556fbMRcVvM7eNSPz0S9Hc7ZmTRIUWZRaMP3CJfXSsTRvhzfK38EII8aQhl0tvfpPsWu4gN2/CIBPO4AF4nyUhlw8zO/7Q46vlxOc84Mjc9+4B74gakFSGEo3N0faoiuxU34A9c4/tVlvkXARnNKsFr/4BkC0yjHYQGto/eztwaVcBjH1hqPUmLz4l97730vY9dItdQXb55uOAbopfhii5Mx+WDldmvkWFYVxX3Yy1y+HfL/2zMpvGOXcSNt0dLmKyMqB8kG55rKWSMTv4TGEO2/00UOFOd/iguPvcUDuN4ArGdBfA44N7aGLQPnc9gMMpSF/W21tpxQH2+yE/ZQfa1aVe1W64s45d5ki+DTVH9OM+SPHguDBhbTjqKKnum1oP6P3uZ1KaGtjo7sFTUGz/Yg9RygEBXtLaYUn2Zm+mwVgnSa+HfS1GLhVXk79i58DPu+oHRENBsusGg9gSWLC3vdhYAkl94tqga+MUPDohwvdYpbBBjCI0xT/3k4y4sRj88/wVLq68UFPrPeJEHxbgfTmbhUu7jXn1O/7OixlIV0aktS4ypdtGddcfdKmC5gMbwnj7Qk8OxjWoG2qBFycEfh+Xyk6oe8rs5/5oF7ptT3EOPNM+yZuqe6ObEooR/tTlBStwnSNSEIIaogUXwjxJhgaoRMTFWNc3KDDc7nUcfTBGT+i0DChLyzHqu2t9fLYVJuiNYaMt1RzCrfjNj4RMwTcif3BZ0URu8XjuopwCFevGW1rDugQQ6TGMHRmHAaKc0x79acJJz6L5+74lGZgoJsVVhTjfFDecVFigdNqevptEgdPngD4AtKTVie8QDkoTyeoFXLRgB1nHjk5wf6LGQNduLjPMsJA21BMannu6LOPHKmUoHBzzccoEty4BWpTtJ2IgoE1lwZxjbqd3a76+JL9o12kOLh2azgOq7yWLuR2utBCzoHsaQ8lmERT5pr9KJMddLPIzaYV+6i2ZKl7Xi8a/qLK3hmi+b0ZAP9lodMmDvvW7PEdnxg+FTvDIE0Jbh7R9bb14R8ap4HIYX+vLwrgaizBLA60p0lkf52YBIMKFmXJhyhlR6Zu2tHJFZ2sdLz72RdTKlkMuOrHckClA7FgTgfn1hx5SpMhIWeKkfIp72zu7+WbiphP96iYpgBoYQ+32XRmmukaG4+oTrfnCO2PqZ15e+wAZXVLx8ywQ7/U07KLoF/G9D7DhbI58GjReBITBhI/oAug5hH8XL/srmJLn4TshRnvF1V8noNZV24bhcX32IM9RcO3Pl68JY9kUrebJp3pnh1Fq9uhJdtbbbONziSnKtpkaQpVniMxLhjK5qmf7YbexUbTTdLQf0dOzH9ESmnjlAiVTT5P9pK+DFa0Y9z1nhkqmUbS03svxp9Nc7vYbvat7NbkTbioe2ALPiRValkT800wL6JZs3ea4QdbVhx/bKxElKLUSlCPIt+Vfw1BeJZ0ddR4ds1boTd50sw3b3Vc5ow0v+Qrbj+1pGClUN5lWQv3MZSZSRtDEHAR0CTd3AMNbLtaUJeAeHRxCZBt70wLp+rUXHs7yZHY9FtWhKlqTXE0yORXNiz6o8FSQbZaoF5rT9Mmg8Mq8/aTmDM2taa32ktbNGvybkbNGRZ8zzQAZNMYYTybXhdXZIpjOSJSY9Jqj6sYkIV4PBPtIM8UPV6m5L+uzwpOtyE7r6ZS31L0UyI1sqnyHcpIfYnIap2IjLE0EV8lrvIv4GCuZNc2Wy5Qxrwz4tZ9TaN55EtyQbdLkryytWtqgyxRO6ZGewHd44a0iVImyc8FrW6ywYw2u3u3NjGywfDeb3XgvnsF0IWhcwHNnXZKgZo2gd7wzRB+x1Sw2oBEtJjlTK85/3UgswcMUY81uQn2cgOC0SpSEL+Z9rjRwSxcxRwa7RjYKSJdvgS3ctdPkN633emcd1UgTb9WHOUIKwzSWXb7phlpti4o6BVT9IkjgK71aBoNXr4nMJqWpeURY0rAuPKPM+bHpxyID7DeRsKcGXG70WanYivoxA2qEii5w3XuN/UoCS6vUyYuK2ki202590FGnm9Vc9/BWJDiY1UsFkj+UBue9PaQaJwv1EtVHNISJ+/AH/U80NWFQw1tyL2DfOAIFj/s3mAb8DL96jnmmCD2woCyEqaL6eBfY9eAmhOuuMYiv3WwsUIlpitkffwNygbkJDLUq3O4w+HC+czEbPYkoCJz6SzcmuIUdTSmTzW9+kXrjsuhVgVDqANxrDV96cK93b0qfDeiPAeqTnmkLV+rlqE1Uj67aneXtMszv8sTrRBnN+PPWI2WwMi/ams/QpWJgmFjFv8NQ9IO80it3DVTCnHJqwgFtDNUrpBeQQeNsjrRYh6S2WDa3FBzDZJQ1OYO8rkyrN7YkSZv/fYrokWa1Iriw0PiSlZ/omIdUzHuZCCXucjYoBsx/Nn3vp2xl/wcM86txo2f/gfCn/3FCNPU9TIr9HRAZCwAR4NXi3wPCki46SuDTa6uDWboegAlAgAC+LtCeT9VZRY3JRzhI4SoZRzHci4kPsLNcfC5WsfDfszxML2u8g0fmBnEd/jLZ7Uc5dsU58W34DNpAeNmFEF82BvgNKxr55yEdV0us31Eo1Lylk/QrF8qLKn1FZcb80KlYoVxn3ojYfdWfd1L5SM+wOPbcI+ubPDxjhn7XA+7Sp5w8ELNCt+tEDIqqzIa6GEwHLIBF5SqLoRJBnAlo+SeoSwEBsLQl3KyGCttDiXBVcFQ+jL1QHRj49/oJgCLq4W75zEO1rUs8KQ7WSzOtZT/dkCokZwrKz+yOYIloSDzM1kOWW3jywkdMC0kLXU8OnhU11akrNP1roaIrxtpKELM6mK00HirkPLTje8dtlIG9Z53hCiO6lxrkqzfvGaC5cW0aLAgI/Rt92KTmMp9OQfnKdvZw5pRhXJ7KYdHbwPE7yiQjbl63VrLQ7HspuJF4YHxhaJUI22+b5hZxJX+LpObbLP5PcCLnQQw9+i1DNurA+z4Ir39g2KrEjgcDtCOOjAHcnqPqRjZdoCbcAoadIvycMgpVONMoiGqW4IeM2T40WW1L4ozOCaKS45EU/kb6VVN//lCfgTc59aecjhCQ1QnKzQuKiqfBXVSnSGe5trStVXvCxLioPuyx9B5eCrU5ZyPAbvS0GEtzW2IOgXCcWLXpJ2GCTgFvuMM/8qSJP8RL3hkAPCgyDc8z3BIsP0/v8RJkad6I1rA0EtWKOtk7u94uFmqQc7EsnQBRlrVmOZaBbvGEmbwu7cb4kZG33NSqOm8CRwvIprFCpAb+t9+ogBaf9RDAlL/vAvC5yL1W00PzS/GotKHBAHKsEfp5hGcPI1110Q56/PtgiFHwYC+AcpydGSI0o8Hjjxp0x0R5fRJGmq0KrqOtfB9j13TtrkdnR7B1PctpJWl4Q0gN40UuXziC4hv258i8heKLt5W5evR9FDTL47y2wQUKU6N5i6nFu0pWiADEndciWAEEhl15KznP7V/viHjDk99EtsgdyPF6NcZxN0OFh7pt1muBcEPmOw8NTR0BUhvWEV/34J9m8djh196Cnl1/+nrKbuDQZmOXyfpKCei1MwybFnVvygEl1sKfncoGHfovn2ZvuTzfG/Gsb9/rbzOS2iBD2xBxs4H+X3oLMbmqlrt78/MR3gG33cC8NEXsIkKRFv6M6YKVtayXywLLEWkgWAxeaXKK5A/ey7fleT/SF2Ej/W1Hm5XPk3ofBvLtfgy2h7jVmBxyMm31/Ofq4LkMOaQ0HDYgGjPCbI7gRUsnpEFhO3ABosiMIqq5ex76q/hf9gbOqU0/VQIr1DWcxVuslkmNtba/E9P2mAAdBNxrlTQzS66NDBsvmaNnzkA1MAxm8s97Ur3BPg+JA41eKh4iMEDV2JNewUex3F3bnSwDHcbbXxiZFNxqS7cDGJMK6l22DA+hu9/4rHgFa7zBRjyXZcGJlOqn3KtCLkdMQQLefCdvOplcaB/Rl3/4fXFoGws0eTfhYfqZGBltjTKlOzUNbzqfqqGmqrjSLIvY5FNChSqLUAKs0A6ugM26d8eUEIKh0qX9i9m04PqsCKpyOga81VMcZ1SQxm8AQekr5h4aD5A19h49EshLn/orWUJeXBdURL42Umjutg78bc63k+d4BvIDBn+xN8sOSPEAL6Dq07MWqVwb+JiBy0brNGH6ZIjbQh/ofdUWf2xF2D92a9eOjiXVyXLXuHh83BvLSFgg8AJwUFQDCAaHKQ6FdQljC/LGeJBkleoStPQV0cXH6SH1xA/oJxGQ15F5LC4wpGyd+h0PFOohVO9qkClKzn4cfnE/vBX/GTn9ZnR2n+XrOiDmB75g6AYttX1JMVVMgP5K5cO7tDvbtVNPKL/R4FtTw8Uh6lFnQEOOlPu0d/y5DTh/jGwaOfy0pbu5Rs53COaoAaV+i+2Az6Pj2lbm2BXNdk0IzZ+xCaONdpwlUHiy6qoMX8gMPmA0Wof2x+fZZuR1fKbX9OHr3AG34RLXxjJEQn4ne4TDeafAGtkNDY/K4RhDS30dj1rRGIJbCWgYcD+s6sXUlX+fx2WT3rK41neKV7CZCriyy7MVAkGzJsqhEcwlVkaFHR3Li2OpTAkTRAxWQQi8VpRvxwCZchm09ZfMTdV7v/57z6KrEsGtOXYfBToKyaw3Q1wwlan+AGOGs5TXyqYnze2Zdyli5QuMC/s2ZJtplFvE3NqwKFCAtl+2W9i73oVHz4+gWJyZ6crnrQUhiozaxQoD4PeQBQB43Rd4s9paDTuFlCscYzeOMkCNq/TVUzYxAKQWcitkM6EbpH9DJc9Z1EKZSbs6BQs9ODpA/sfwkve0v0FjQE9kXK2w8Y/9Lt9AZ0ZV5vY62C/xXmGBhwNh/UD0rAaTITgKN5XzfFZbmT/QAJbUAhdOoU+mmHgRT1GXovEcgRonzvpPWFmZ76rAyZCdfZp0yzjeNZDxuirIvIl+xCd3H3F2/clzuwuwwKZT5OUz3FTQUYCFnUNmsbOWik5Xa0OdTwX+nefePfFg4GDDlUAYF+QJVt0VteF9EwKjrIpvDNrOSZUGaZd2A3PHSjM+Mb8QU0guRKARiyQqawBcIoXX5Rt+9fwAAAABBOqTVS8sWXCC5CiBkjCKu8IthLwfnGCNgHwAJAt4HRji5ronOLKUBiZKM3N6yZ8Kz3rvqC5iu9vpsFCDicNoVxn17ejjNisDdoIrKuMrvzwsabk469lwkbDWeINbcnT3ylIAHH5r2My6yG1nrlQ7iicmqh+PzCHG2ugFgTG9KjAirPj3yxmm3si+jAdVJzj+zgy+5+wPTYjrWAfbRQCz/KZIUNOAZyzw6UPHRpxUDU1ijDhQjjS0CZnoAuY92mLOm/YUxvF1XktlhAKkX3S7jscrcD02RIyjrr4/NfJ6ZafWjZjhndtORhc2JbCe1IEZzW7y8TNv5g3TLWHyBotN+arfuNCbFv6XVqc69ZzQJFRXjIebY7Cqj75hVtgp+hUQbZepl1KZPWSsaXnn2WoSFFe66vt/fWd1aNDy3rlxfeijyCx7cCKoC7fiuY5fgUrNOBxwF9v/xTMpzDmb72MKpcXH13zIDMMxeipiyohkQdWdYl8IKq+NSwMucBlCgGk9VHRc/POlh7v7Y5NEQpfMMtONe+e1+mBHJAQmh5vtZgwycu6h+FRd7UOJwrm4xGS0ik0WPQl5tVKWa5w77mIiR0hPnxrelzsFUDFzsDDt3kwmpX8o3GjCKhbJ8gpJTPc8c8Tgb/wFhD3s4YGR23+mritjGythlSm5Syu7+w5hZMSWdZZZXin47VFNMrikXH69uLK7xtdwke1FHlrX+JkR03rLHQZEjMAwY3uzrQMhdRbHoWGhhdbTq46xG1F3FpwEIKrZ3bZPWvDEAEH7i3JlkBn2rD3BfMUm+2tuVQUO4f3zLsia3ZaAFDw6fOtPjRMtC3RAf9tPKkV8L40S3BW6v5PKURWtq9gBe+xul4i+mn07aDiAxx0lMNpnYMfGTzNzQEpyaYJYhGsOPOIckpi3varYAKPb96/Az22OGXGBWbA//0BwLLue/o35xGO129sBSPCzhuNwi5wsc/J8MbcZZXRxrkf68fUDU5edrYKcss9wOKiT/mAQM9jUetar2ivQolhHd4BzmVZJIho7d4TwybxzHeYC9LUqcA1H4cqzBxrm0IrE33ggzziaQa7Q0CtCTP37YOz3JUBJ8SnuXiVACY4bHwvUUnQRM3SC6umFmCPO+qLSmS0MU3/F8JOw2BzsdOXd1qRjMqMO4kIzST4HhwqY4tW4rF+Xwu7soLgs2oZqxqk1KYj7yiHMgLiS39hD7mDtusKl3MG+5Qz4O1aRgw1B6YUmc9jtGZmMwd+XBGlqsGj0nhmtc6jNtHAnB2f4+O+ld7r9uHfdZ118gBR7XzKX7ZZZdnZRCaXnDqj4ZKJkK4r4Flcw335tT1q26UDL0q0hSJAmr6P5yDowbbwM0YXYb8KI4DNBi2OvScAyuBIuhhMWPH2g8NS8/j+AKkvnoH5N9bIfyik1CP8cSLFUTgAEw2QN4PydFV9ObzDiidtoNM8UOVKkMYZgtvdUjZFi4u1rmQRCZ6wXy1ZNq2hJ5RJAt3FcJZRyXjjngeCrWHBR7CBMhC23nijLavfOCrH5adtHZpfNjcrS7n+jd33XhSbcMZJtlbCYJfl5U4eg28utBbG8shb676Jk8278XhU/ozcPnZ8h06DRMyACd0LCTo61GlHRxvrYWVgsZ1R0lnpdC3rVfpnQvV4oc7aqEGZIPr7enHtCUXwguxR1/Pve08YOIR9XlubxASCPMjXLGbAa2W7G3rKLGPspVUw1hdUp3C0Ux6REXdqXEhqQtgnXj7G7kyF6Im7JOQwh+kwuSnLtXIsajBWY1yYYv3nS7h/LLRdrRiSKsajdE3S4okqhH02onVAX9sKeXOukv53hLtkMRop8NnJgr95IYtjV1h6sG2TOGMBzdhG9IaHhZ/zjyM0A9xGWHjdbYN2TzNcRMUcUB+59yDFDY00AhUdQmyttap3uCl4hHfUB9sCCoM7YZOmYulIYvV7lml7V9NgISoLKmm6fJ+s2CqtzJ+yykw+VeTyFPM10aNXTYZMb06wlDAOg/o9m9RGu9I2SeT9y4wXmKmnYP6n9gytuzBjR7xtTtf7skeDKufBTaU/67US1TT2mIOFskQ6Ce25HIPXBh69kK5DNbtgIOe3tz178rkN/7S0MqDCKa4W2KabnBTDMbYVSrRQryeDqZVu4uNFpAMf4+2oCOQe+8JYfTzyg+BD6WtGV+IOSd/ypcfHjc2MNaamtDkUad+ECM4ms+n2bcSkwshRTKw66H5TTWEMVMe723D5AW6L02gLQh9w4VWsQ1jO5vA/dTZWt/SqVCo2vjDZpU0H1YLHNrbMBCYlwS/85+QMpVJlvNTX5v0jMCOa4Mb+fRgVzjciffn9XcEKShvMQ54rdPRTynO5aQdBNkCuqLdX/aL4Ng3ID4tEPzacpOBiQYzQ6cTlOHm9+yFUT5s+wIto9Ei8agshvmYwnA7kLHOlqGsw45wvaZY9Dnbe0RtUrJwFkpYZDTC5+2PsWNB7lBQdV8B5dSHoYVJYzUIff4pPmJuDyuUZ+AtKJbtVzajx2lbQzvi1VTmAktmsdyzABMGPPQVHbDYEGETDAwW8tPH7hON0eh+cxK3XLXsupTmngrGQabX/Pr0iQ1bP0VN0/dstDVn7TwZ6u2AyRmW3pK8dTp2qtebPcuYutQjanwqY2AarEfhcvuEDNl+Y+WGzgDq4iI8vqK0T+FM0cCyXx/LCJTW50y3x+CjIMgW7Gvw5Ct1I3fK/d3mNkDuIPIXuVH7EjeCLivxzc9YmrNi/n2ggHplreCjwZBh5MhIQ9rA/JjlkZ+PJzrXTFTO361G/yYl/VilScm94txu6/Kg2vBDMANAD1Nm2sy9q6lHjN0C77xT7ai/4zI2ACeK7rNCLrAAAAFGZ+mY2gBNVVjTSM6WV03Ae4eAUSOE27JQfQWovpLIK3PLW7+jnhcDjkny0qQORlDpPIFcbpN98mkXZu4EdCRVeClvOEzYkGhNxJymhEbgt8LM6Yqz8GwfhDVG+dljNMlw+TmMqeFSCTiwaoTTMIzZIYhiWwruX1AwN6bwJoZP+2AEqFWDLFSOvyPMjFQC0rfHzBVbUmdSsKw8IKxm7m7MuxyFZgKiIEANokdD8yX+FYExWJtE0fV135ULLf1ck4iysb6hJcdoKoOi3OkAR1x9GSCs13K+OjGRFOlgM6YbiNiWams/9lQI+rD0fj9jbcVbzmvvwU4M7DibewhG5a9QZeh6cd0J1utN0V6DQdNFxVz1BAqVDo60v/AmRgfBc36IuZgB35Mxtkm+mtco8DTqXlqyxkVfsRwem+DMAGtZzcsOvBBwOmjraWbwOg4cqYMv3xKnKO+l5s6B831fFE1yqEHYUgQQpClTiuAAOaPGW1gjFetFwwxQ/fNjT2X+j8ah5x3RotlKNM7+aumlIkJC/WK3eahhJMcvS+eoWoPG3qVr0WlwaMwnsnoootLRNAivPIjivGcupFG0sdTQ9MVruiBJyw2Z+6mEfFf30QYNMSCCFCtd4R1eTS4ssQ0jYttSaNHqUxj4qeXz2Qx9EB3TJzXHuAzhoILhmdUWCVDSdm0fGGiGtoR5vykq2vN+oBvEYJSlf7Vo34goEX3irk7rUvN1tBSFb1xRFW294sGB3mbL5ZM8ikGzzFGFwSkiVqsIM/UMpQHZH5uSKMGrPJi239Ij2ofP+3z/PYw3ssP38i/wGdaKvA8HqQjNBgeGKXd/CY4Kq7sitmMsWIOI3tMB58V34huM+lNfmhNuaGrdFMkW1iFJZFzavdlYLHiyHY0nqL/2H7LL+lrFjmrrupFnasGrYr7hyA3JrvlEp6VvQKcCb24OhliUXu6b+7v5vwCZkhMwaSR3iX/8tTA2kRO0rP8eaMPMP5eAwHak+H1jce+hq5gd2gxKGsmRmiczRutY2A4UfqGFhGxw8dO3VZ9DEvAGqVtxNBt5tGuvArnV0KRgbrxJ+Ww6g9cR958lWXVoSkE94wKnerQ256sqWrO845VH2UV7lhcGh52XR3Y3seqeV4MXSk+jVrWMKndfdfQ5xdAPCcWf/F8gJWNrmsITI2cta/UnVB9v0ufz5zcGBvfPU7Lyp/UWYnSKFNye+eMocMXseJgJMPBNDvdao7l82rS5xaUep+uiT5fcln+ihqjjtX4QApASmUciDiVkvYG8XlExCq0+mxSVTA9/vuA93oFWDPTEEg/x9fFRMQQqXDzGDPEP33QPTeRCocVsB0YoPSeycjnCd343ievlgOLrFd657PstEFk5ZhuQ487tsU9B9wZ1X8ygp3FvCcAdNlN3MDvxy/lOoP4iJme/lpTeNLPSiGoodvz3cTy+bn/syk+EOuXu0LQgE6xL8qeM0UAPfTq02+6IZYccY19f8OwWshVgHqYg4uDtxVkOSLSleb/8Lj8NnT/jJ3PFmmEq4V+EKhe7+7yPKfyT+f1rybYmfMwmfl8cSEmtx3gmg8rohnJpyWRh/XFTvd8ezP4T+v8h4xkJXyiXGZ1nFNx5Fffc3p8B3AGUbpLI2h6LfLuRiC7MlitegFY+GzHN8TIIv2P5R9upn52EPaAEq3afBcJg3EtzA0+ExLr6C4XBqRarGZRZHTlIYmpb5MtCPypFHdFZJt1WpB8Bm2EAEgSHZVYf1zt+cIsBxsepDKTVmbBMZc6L7zRao552UgaP1Ve6ERVFzxZ0THaWo9UXWiohute0GwxFSkAqCrLX9KYeytR6ymacqhMuqnTMy5ZtkowxGc4O7r40GjKid9tafSxa0Wx/jbZDtdAbmcav/H1jj+ptYxasIfogGlq7SmcO8ZywGZUyZkkUyu50oY2JDJB4+hZJFmerkjVvHDT1lP5y4jbGH9FXXCS9RXWzf8BjhRQvZva2WGyhvwZO5/efG7VogbX/mXhih3Rr4dZj0MAVJZ8OGPJmDc3NQZNDDVRiUGXujc6n8t4bWE7d7otKtHPXDdo7vjF0F1xUp7jE3EkLsmz2g18ZO5VDVB9qysh9Sn3KQU2up4X4jEdcCoDSeYNAgqCLAsM8VMhdqukEkJKS96WbsKSUCAfGoCnof/2ngjSpKL7OJiKQczKpGBLrL+uFhR0KVgVD6/r2Mejua3ct2KMnuytGm4UsVAy2W9Shc6LlkUkLlCQ0gnHNgD2x3Ux9Z8nOKLgunoNU6lXptoFJujATv3BLBLBdn6Bc/SyhkI1ajXMO3E4uau13k2N4yXCoc0DqFjWwlGKw8c4tqBe9H5p2b789bOMBgdzBDDWHFRDu9XIuwr0AuDLKAJBc6cmhgcQcvO35dcy4j+aYn7p9VKDTWcdtvXEZxJKKb7Coi6NBnE+ZgRUOOmTtTAwXFR0OCQY8lK7AOK5XYUto834XckFQrQqltAnkl2Rr+vuLlFJ2TpNi8zdBqgt2QU3VDD6bouvnaoy1R2pMaXbVKryWhC7fa1rbInHM/NB6tPzy28uuakJcStShy1Opp85kZ1CtaaFvh+sK09vpP869318VJTW0l1TeiphoRKSEci30LnYhF6JRse+ICeaIi3tq5xpO9MlU9TmmlIc6Wg7b8ebXkQg/jYmr2lN1V8JzD65+Mejbhzj46N9qOM+Y8vwBGfDX+P3I4qkzSoheOMAGCrH1+oBab6mNbdOeZ8pri39RAAAAL+dzjwni/RLa6UrgKjjtshAmZGU7T+KI3cjp5sIs4G1UAmD+dONEgIJLOsrqD3SSo8DyIfvBW5WcchRDDXiqOKBmDsh9myLOfFVpG5zU2PwFoT1M5Wj6nkiHuMyvWBJyCfZTFzv3j1JL8aoqLvGs6iDq6tadf0uJZOvj4aqtGT4lD1JhCQ2qFyn1Phs2dK0ofNm70VINtTN5RSg95D/M0rMGamk78c+ALJQMbDkqj2PrjOW9JfN4unSuMDDn9Mu3iwuIbEUwC9obdjPoNLXYlhKGHctsTs+ORefx2KqN4tOUElNn50/+b5CwVhR+DwtC6J1GirGIiAcx7DPpjwYi6hXWXKdluS7c1lvvkzf8Z8MYBWaf2Y6nZDivT806ZMelIeBfT78glJUzNKLlvBfAgz1ilgXp297jIeFvSAxOAC7C39c0fP0/BNbccVWV7O10Mu9js8TvB531nCJwDyD9Bph6OruE6ri0OWK35slE2kICBmzwzotsTDHB3VIFaju71i6nAR/aaRjvftnCxKSVR5f/JpgoKt88tCco55o2XD9TNu5JwfPltK+yOnY90HTwu2rHjPeNWlbpmPVRsA4yg+chlu7FJ+8ql0fRRMoZ73UmXfvbLgl2cNC8j4XqIpAN0dRVqd2dewnYQxjcN5xsRCSFJ0N7H9SiqDEbyzsCI/DRtwD/RSVloiU/qI0oAs1FO3OZGjLYhMHNic9YJrcHYKOzg997EcpSDYsD+TiJWi2Ci8kHPW/aDHo5dh4SqjIY7iiX80y6RF+kPbnXsFruJskMSa8O5AGeyrxpZQrVczbq9wWYvzMDz0hOKrewL+AjvlnMQtr4Hlnxkdf5QQUZ8vSG8smZ9RfbjNurecs7k1F2rnR/sFvAoRFxSvdJQNI+XMZ/sYfQmbXeeE/IBZMa/egosyZ7lPdv1yyhr9qpy+ATH8TTqkDaB6KVmat1hwcakOktp0PHqRG7ysj0lde7roqbtyNSJVmboG5nfI/6RDRk5/hQZYKCwD8e5UCpEFlqdcpGGjWfuf7Z4TfUGQY3KRGv1nsLBX+YP94ggyVa2JL3jQ8/aRLAlKcuk+tThLoJZIGbKsKKsToSmXsMgY9ceq8I6kbId2GshB5g9uh9MdNWxkZbBPLiQg6rpkrAtsdefjYEZ3qjnk11nSK6+QxnRtTl0R8wM9nVSJZ9iC3qWdRrQPFqP+6ddAAy7su7AhTMVzJId9QrqhkVXRZ3tYNgAIs3sS9Rz34BR/7xRcL1D3EWz2kCGmFyOcRLpgnLlU3eiIoPcyyMvNPWeotxCpY0jwqyiZu7djVRmR+VzDSa2gBBKeOdoLTmBh48UQXqPuI+92Rf8EjQMY7a9lSqcHbpkT90rSOaGHW7nV8JKUqy1I0QEii6jHWwaogKlt8Ly4iE75x1an89Q274GK2EK1UVW7PlewxGZ9yCnttwmCYPPUJk0EKXBcqAaiCT7ymDcPMgJR2zV3g1cFfcyLKhilAFZFBcRapE1H14CPGbZuLACAGgqc4v+uSl1uyQJYowyMfoz0CfFR2g+S6msgQB3/kxwn4OhgcB22vCW/92j/HNnqtMJbiwkHH87A4WohVe+f7dU19MU8MHm8/or6XUSs54W1/XeqJ1m5ZmdT+EIqWnUrkoTYqBaw2YwSHegAo3RmtLX1BAqkIJoX+Qx3dQeHzpjf+XMJLRepLJtjuEP3zvgQ6lqhI4xJaokMt//W6acdRvOn3Ww/6fWUPzYxteQuqbIu9arUGSpcRDAig1RjRzx/1i6TO15S10o71Ntuh+bxSSTdJKUGY+Em6FsCgjsPiJT/5WNz/1tbjYGwTXak3c4/js4Uebq87slhrOo0iX9OWcJamBKPZMv58/hFQpiL16wNy8E7V68CCxfS3Q/JeSiATpySRQofuVX1YEhwXnkAh3lxP4q0Jcudt+YAX0OVEHe2Yk8iHleFzLtpwzHNnEdD1Di+DL22YZtlX6pP7mWDIE9WuLiZoFIxDRfQXbQjmcohAjl77bL/sMlgxbd8XQVrklprhDcBUSzWr4BUIp6DhVESsYq0lYgeFO/Ym+qENew7Tqvl6ITOg1Wmcn1kRSJTL8G+e4LPd35bvFvOg7UJRHR+4IUSlQmG9tXFRhwXMJrt5Lt7jFfngMO7QpIEIMkeyfl3MoERcnBKD0THKTludsEBz2Gq2HsIUIvZXm/dPi5cCl4jn0ZA+hjIdTbOX7HbugWOVw1ye+z/wKOFIAWSYxajfXv+A0rQsNUS+2ZDHSIEJ60WYMwFq3Co/Koem+OPR+BQdKPjHLVvSGb5/cqNM+Z/OR76K2LmKc+6iI8W7eW3mvnSLW5Fky7DUNH9ioqnF0UQfRpjYXv8QIs9AObVWC+EjOV3BF15O2M6dOJyPTrpxsiQfKBtPNfkxWgk7lY/fu9hrt4ReTO4hoSuneHf6pynTh2CK6dDaLmKOnIKmQVofShPbgD+mbFkz0hWoHlrpX2DKotCH0yispmafl99j7aJT3ypCTfdDUK7UCJhrFC8SwoEiMuz5wbL4PEoioUUCZzOgwV/YR77DJKv5WK67DhgyoD1cAccimBdZnu3HQPjvPlNB5fbVxxkPz+yeSbe4EhHev7X8F+Tvz5/Z+/4mh1T6i/b25wAAAAAcyGcSu2OhcGkiH71GFsl7CfVpHR6OImug64fCNFMfh4wX08tVBvu1FR551cN/sxtsWRV6kuIfq2rXASmehsJK5U4+Q98NXCL8IyxX43NrWc8isFp6bNNmpcQM6/4Frh9hzazq+RswFjoa6UPz/PmTdyOkgmvDYtLUhWD64i3iT+mjRAMFzEFCkKbTsS85U0OWb28hbk7TbULLiJ/MnD7JxrtoOvY+qWkja/Li55HejVwjzu90PNjyoXLa1KLGknFvTpJYKbPwKwH1qm3ojbAiJIYHqTj2979dvRuyGTUj3FrSVVRNIAPmU7oPk511D0WSMEoCcUDQtkEELoEXz3NVk3kVha75SGBFnu36DzcOqvtZR6R40pG+jqrvVbhhZl/lXVCksPGPUbL8kI/HwvQM7z0/qliQ/8a3v2u47j4L0iiQz4O2iS0TZPwadFNmkcsdXM/mi4uLBLlP3MYb95HFELuyy6TtVSMbfv5nr9lGcz84Anwat/+0v3qSAnG72xfwAYidIhwqdElRYOlllqXTs+zbTSX+g5GgXizcmzjbki93EYNkWgAnFbrg051SzXSyjtX4CTZ+FAuWIlEn1FTVSveL0KbzqhfnA9KHSOQtjTr+wE7cilLTYcSJCSvM+2NA8EcODEv+5kZzjXC8pMZ8+gW0HDNiYVy4OvVoyXrL8UibE4t1wpZsoAk2yMgEdU5d/sKIQRtHFWcXbKXQrSXk+0S9LNJ3y/0+1uUQJf6FeoqQWUBc1/F/41KMfdH7EBfrAwwg+cYPEBYbrc9niYHsqXlBfeYeJgWoQ24rL9t+p5m5R1RN+2Qdg4qWYdhmNVqOzeRSpeM3aaWGkzLf1j5G0imKyb8KogeuuMD8R5j4l2qIEcNyWva2O22DXce2dmyGXim991eXKDajWttYolt/7AaREV5KDtCUj9QNEN2AnEpl/3ymAHerrJRo0Onfu6RxcVxH66TVsNceo7SPl1gqJRQSZ0kyG3wOsb/wYQsLPa8C7vCWnjkhBO0ADGjYkdlEJNQLUX0r8aX7ZNa0Mbr35wzWyTzHg8ORuLzeQgrNK12VQXbGdga/5ZS48kR/3SL9ZNY+RjtrGn1NL3ZLTeLHR1dsRv/BTXc0HWPJEnbMt7b4oenKiDGhgxcYjY199foCkyVt3iom7yknd4GVpcwMS3KxTKNxL5sitkldRhPogCMf5U+Xe0jSn47sgjYVNVPe6XlNMkChtLbAw7u1+M3Jx/2rk4Y6aD2CbOJ9YB4YAF/0cbvWVUW4gkuI9BIS53rw6Ywxpe/w+2NuYn5RBExAFyX7CRE2g7/HOkrMiRJL4yanOa1RFrG8MYiKJPPg81LKQJxbfS+gvB4oOapWpRwbjLMXxBZMccuH7vnQIcdJYxYu9UNSheVANAb2Xb7YG+JDQQ35yudW4Xw4J9NcIpGr/EmJnimYVHvjHsp8Ik/QztQD3lbHnj4WBP/A8rdlgLZ9sG6sy9iTVvh9w/SNucpe35xbsFFX83CtAsdPMo5GbwPkoIBKGKPwMN/zAsh+ehXy3DBWI3GjleNMqXXqQBqIuHiJ7Qh73ZrP4j9Xc3WaU97fGRo4o6tNVFDTmZmhLVABOCN6tBNDsOrEP34Fx0BBrQ3QGgp8TZEAhxkExS3BKnlD3Ba1JngsH/zG+H8tEhXleU6zuDueRMueZGIjxLcwgsFwTkRJpJDNIguTwoLVkBTjrbIGs0JKHmamVc2jCvgsbA9uR6wUITh7YDLBiOBHsmaJX5YLCYKRiwtWXLSTDJa+si9Z3METf8DhWvuRR6wIMoQeLIeR22ZbVIpd/uWjm1/EPsQIIcFq4Czl0S53uipTxjxR06NtqJk13rz4nLWei4oybz+2Ymjj9r9r5dju6AL+iRVkCGCfQjz4uzmH6z4VqruX0Uu7xMrtJAZdGvDU4vuHe4t/5RyIOTJc9shY4MYZbnVTFHtcFlhVCDoIN8LmKjzEMy4jA46pAwYvLCBehyuav2L2ry3AvGJXNofs54FyZFnExyH+5Ik+cGDYIeUUv7m+7K6nG1exyPGMDQb0xDfQT49IYirpBC0x0tr/zT5VcehRPjzRdRMMVoINbXW+zuM3+hPyY6/acEKGUbpR2wRVakFqSECKBi5FNrVIFth6KFfQVUUAcCjCHAzSlYwaUw/bUc4ddoli1YmIijtmNgLKyG4Ru9/+U4PvEG2p1KoZsMpK4ilKg9kVDxyRkq4qgZGGvKFuSwxsTolZ8OOPqJI6Zj5UI6vPEytXo+joNG58SEztcvXWeWHqzqeBfLTBcX1MNIyT52wthiek2e26WhgaiaudZgSQGlibiYfoy3n0ER0q3RBSRxRuuwQI/EsjD2oqZPmBLmHboawJcd66qj9i+Jw+wq4UOvQ73mFVbzZiOgJKHsuf89XWa/an8vwjiiZ8AAAAAADOINdwPu7eXr6u/w+ZIeC7nDnbvRBP5KY/pIJaGYFYIunl+BBUAAAAA5Kk9EBzUF14SEq0Ht8EjGXEztZn9E24+DZofYa3xY6PN0DptoTDDLQcdkjGLMQj+jwfbQ5a7xXUu0AQpWJz9j8zCg+R4LvIocG5VMawdoHn3plsixOFFEs0G/p89oU0g6HVAJKLrBC1kehlOaryZS3vTVkmBbaPib8CdoEgkS1TaJjYt5QLTijCBwBu/f0LabyTLSDFpUsreIq5Pzh4eLKRf01oKwG6NUFgE3UwaWDWdofOQv7HxeSnEQz93KnBtEp4sIjgkiI8KSwsaOV1dBwv1p8n2A66zoany302l33vA3sPBfiGt95b2wDO6nikgTs2NZ3onU9s7zTlrZXX/GrHrJ2ptLgO8i5P6idkJ5l9y49UUaMLaDyG4DZbxWeK5stbIvd7DGubRu+zsYKFIayc3l+Pp1Qec4AEs5vzCFBRh6k8IHhr9UpIMhkZ8wBLWHjZVC61aGmOQQ47EFloc6BaebhoAZnWBofEoDlNW8XfGEEpkJwc8F7HvxW8isfogfTjG073is1k/MPEpf18ANb4CWysupmvSHVFEBQjmRfAQxEJaybyqSdQ9GSuxaLLTsDrpqu6QvtUTidxBnwKfB/CxdoCX9SuXQ6hWauOaHtBXW3neHXHUghicPihOXgyFu+ECtndM0p8q1aZNMHlc//IqQ4k0a4sP4z6usUXIzWDf2BUXvAnSsVENI7MgRI7TwtUOL7KUtj//fx/9EYGlxYF1o7qEnXsagt/IKgKQj/A8tM/0GwEAYLkgBHd9sQ4u8Zsq7gc115cV8BOg2fr8RBmk9AASkH/LwESNRhUGtEyAAAAAAHwqLqtaBE0fKgxpI7cY4FWLOyW2BuGIul/Iq5iSFbLojTTQm3hVTg09m4e/FnH5nd1Ht14V60gr93Y0aQ4spnZBQUANLfNDW+RAmyMmoVhY+Q2/F9UifGVlBo6xkvX7+hK4eK5o6FZaQJvn7zmJ8c+rwFGUbRBC7FK7wqjK8yE8ajjLTRtunN8uneyGmfR0NhQwGosoM469VLEmwtAqV6ILKSWwkGVQloDvUgcyFJ+a9/ata/l7QzdYMGEcGgET2IaGhWr9hUJ4AQmZkn8zt6cZDsYJyNvmEbJGOqFKJFAAD2kVkJhUECHEsBf7+mBQHwETpeOVnQtnTVqScfg5g9UWfTxtiZcJvkGHNQiuBTKBm7J4jWUJrdEx5mXlkMMP3z6wyTreLlb+W4ZZ0Q3qP+6eoyc0WF56Xou+56fkd3Tk9AxT8pNVVO14eYlf989hQjSPsVKRTox4of5bF+6IZYsg12+8FNKfRyPblxuORKXcQge5efohl0VEc1Nam97ygFVMW7FwAD/iIXExy2hMB8lyddK3r/Av1z4I7FvKXFO8v8k0qygWwJIrF9rotPfY8coQ4jcHPMZ8TmVeckyJc1WiruOzEDg6ErwqjfXLKHTXVhJ058w9rbRAixw9i9kcQhauyCLfaDZXuX8IOkGbc+oJNRgROy50SuS5UpjZQVrir2g/CZWb02RLpgAjak5VcIppsY1cqJQm4Sbd8Bu3Oj4GoRbHG1Cj5xuvVbT0wraQ4rd62mPZIEcSRmHQC+EogmkhtBqSAAaYexzUV5ztCyfotimyGLcqMYhue6/gHMep/Uy5XVPBQe0cp+0ty1ijbIcTg5dNpL/2S3tMmzcA+GQCnnXJV2auUcthHLAApvIZ51D0IlMNgAAABENpp/rd8P32k/pAtcq7tezEP3ZZxXuekCFq27R+TDtHl4YbOVMuz4SbuATN9LXfBUpHskAXU1gyeOS3nr1qctlxsPCmJgMO/H99+VoeXdhLJPUHFGXRVHTQ6rQQ3CIm7DuiYiJjlJv4IEeOFs24OlEZoXcecBoY3ZZjwVIJL+BP8MHuGddqOlE/i4u6UqOKCGhVFQDF0qqEYwApuIeK5wwyDBxxjwuWm143T7oFHLix1icGCoY6qyp4U9K34d+3b69fXBweeoGYNHGQ6NrbubflG2Yfdis+PTj51S15aclqb6EhOtaZQBzMW5dgBPqNYm8FVJDBWq298qNJvr/mSpiph36pYuZ46AXYUnGFWeTrWHy5hltuXPSjwATw7q8wdmSX/+hz4IKkqES97Q2zNLQ/9sxQm8FDeeReBiT14BL/Cz1Vipz6VOOt8xp/mzOE0fR8hIqbq4TdOKZH5Ucw2kz1tGrXI++pMN9ydXUyoA9GvfQNiGRB9c2nKt+I6M1DRCRN3MKYZ2Cg6Dg8Zpsv5JOMsMZSUQekSpwFjfFwcN6iwi4P6M98CP8KbEhDbkEgjXD+PGZ4DxujIVC16rBOFHHonzJ+fdUWmIozVnYwqeW/bJ2T/15w8xZKhSbesWci/+WxjaF6ekoq78qNiEjjruLaVO8cIo86RTYV1FLdEqa2fVpWv8SFgTqTYnOTRvlN2JxW3neYuCz2JSEV2t6HOqALZuXi530F9+B51JXve4SUn57V5rZgQSyvgWQ3d68L2TLvMYi8VqvqGwKDfRbD4Z7Pw7WP3rgaf7T8F0Vc3Oml8NLYd5QZg4LRFjzcouu+jE/j/DfPwi3gOFHtybifztQ3zd/Cx4DhvCDMKUIZbxGIG5FcDe5IQs9jNxJw1j98BLBw2zaOF0nW4nyQHdezaqMYqHBDn060Qfnh3yf96lsIBNt6dlk0QneyxsL7woQEA4YGsK7ru6nkobwqy6DXediqnEfG3H5TQdv6vpLhBaTyFsaWcT2k7GN+YvxWXzKr2Q+howEGRd2YL7CS/B53Gw/l5ASth2KeYl4tn1BU0khqnGvBJQ0s0ncb/BP3EsCwPzVQ1ewKWVcXgIdvSwbljGDAlfy+wve0ci4yuy4dfwQpY49wC8nV4htiAAB3hytYIB2Z/AVAf0rLuMN6Su5vaVQftlT+TL897PWebCcP2qkcdw1CTnYGl2A/UfR7qoBrkiCasF/P+UQNstktNnBlnPAOLkWPthHUFCgak/Vu7TytWsR7pCFcqn+e3lOEIuTq7N4nYSl2WosKUQVS3yWP9KYU02ZrbVVy9woINBRqB7NHUkBoQW0vAT3URHoexM8PzbCmAWIfC1YyaJZTQyAXFkRv4jFiakxy5xljfJf9GVhSmWqcKHD9ampGVxxO3KFsc74yrYnjMalCbwJRUcF9mxM/6tdLrLT3X2zZkuULwigACYlxWt0cl8xO8Uq5C0zC8D8h4tK9gPDtBQdj1wADop5ktxRFXJaxdbQ+qAAEEj4SeJbPJBA5trMeeJRP6u4UBEXFnwrNwqS8oEI4lf+rnZ9DO7l3gB2Yj1M0hxgs7u6pJEY+SsIULnIAGV0IvNlkVE++TyoY+epgexWKQmcby9WUYdcavVmJQ1BX989gAOWcyUfx0Cr5Xos1cDKUH91N56At6JQrRpWpyY9x9pKaugfUdECazkDYEiu86LeVdI9OqZeLVc3gzO44U97C2WEeyGef/LlIcZQxO9X8zUSvZqnT3pnlu5tLwpTWx0+BoHkyL+C8e0qjSw1IF3Ixy5B+DEiTGvq9wl1IhS8HwFlCZ9bwasgp1blD36wiI5LrXX96d3bPUt8K+Z6XVFgJvJDiQzLrBJfUg4C8aQa0/Z265gieMyANblFBRCguQ1YtgIE8m43KUT4uGDZQiQKaJdYW9qSjmNu6R8nEQtjjbnE0bZ/ZgF0Yv6+Ald9FhhoFJtBBKUJdYSH+wKINmzwkqGlwcZLslf9KAzkkcjz64GbL79CJG2ind45RrLOBP+7VQpvmc3k+ewvgfw5wQbL8NsOME9XT19dE42zZyT52Ajqc5YR3a/yDXVXYQQOhr8C6liz1af2Qv2NWdR6H1dxc9lmepl6X/DZIw5RaOLu7dvDFAznQzqMd0mOg8T66Anp3FfAWV16QXlfeKTJi6j96bRuAmIduQ0OgxIPH2M4x8esVYHKCUXp1CWr3278I04N2E9M1jEjk2uJnqy0aIOqV2QuotYteCurQFqmapzHJWx4Yis6m84J2JIWXGx7XAwgBVl1jSQuas29Xr3akUIuF7M0+cStrlicDxKqq2qKyIn4zwX5GUD2/U1hC0bhLM2vIJSUun9FWFOXAxjte1OR0DdbHZ5EHMafohUlqaQhkKwR3SE9+O+ThoGwQpbQd3d4B1oQ+zOUsU6GCIcnjkT+HgIJPA2y0zrfbhPCQgy+KeSpViwWAbSRnZ+IDOc966DkYIPcDz/AjSeGoaMOC1NepGe6HcpwPSvNRdcvunneLmf5MARqO1V6rpWl0Z4AlS0i4AnJXnCL2Ts0nhNXo/BUTn2bMVpH+9l7ZdqCLXlB70MwhVkwRqevROEKoRAz3zxR/rL2qU0Hf6Au0me9hOM/FIlNP9Y67MsvS3sWjWviB1qreHG/ygsqrDaEORtaAyBZh8/+++R1D+OUp1rN+aNwLd4oIcFwkawaPjlkZtMrxx6mTS3RYbjpTLphk80aoiUlo+SxK3b5WmWc6PYJfBYE+Qftf7m/eWZhbCLcdT0yn6IYot/z1n5WUzB6CZlKYGth5Tfy2oDj7wmqbENb7w2OP1r2hH57MXpzK+kLxtoUwfOIYuAMqbTpBcmFeugZTCs2WTFXTsAijhV+CdJemwt+hJnuiyoty3Xq4psnqzX/gd3gW3fesbYm5XgQgp8Q8N9wyPS7oBh+NiEX+4HTLEQG0ADvhEbMR5rNU1lszBY6/EePhhQLROHkIsIdrJ9rcTRFls9I3ieCfADUKGXYa51YzpWebZBHukcFr/IXJSY2pEKpkotVoyZeanTRAtASpK82CVBw89pF1fEsD6PvG/BLAjkObijS9fdD/5IUFbwRvseQKSTnxb1PJ2GrbIPNhhzfQwddKhIoLbdoCz1dhwOQ9A3JhAVs04Cfve/rS0otMBkFtusfOiKmUnzVgiLkk2mDsuLqPyOl9uSGHaiFoXLWjwo9mo+YJik2OWAj8UBbGUFXPmnAz9aqy+O+zI2PjfoLiG32BOi4lC4yVud3o9l7PT/edC5yUbafzJksritJSrMgRIPAhP0/p55o/KUm7ES3BPG/aI1AL9syDiPXLAElyhOxsoGykan9Hr8PDfs+vT9/UivJeQXTHus/eriLsaVOo5ExQa3+3ei126Animmx67OI9auez9E2Wde8X59sjrXHVwR6vwExxdTwmtRDY71ggAu6O+tNBFiADvOPHKmVHCG0grqYP6CeOSZIG2oJjU893RoSq7yvM2JCZD6U+KyWF5GUdaVxQ5STjH5o6kFrQUVRsboywa3ZPsQZHNQ7/4bZLOQvuXopjR8VfaxzEODkFC8XC2Ln5DRXmGQ2mE1EkZUjwxqA897YPYaTdimmfzy/qxwJ18Xg6Q6+fSwdjCUukJFeTQI3v8r1py12OR9k4oR2NZ9I8BIm66FmH5BAi+Xm/IDQrJK6kOXIGvxn5FFzZiXdiD/YfZmvez3uKu0Pia/SD3+t+yBV1M5Ac0GCp5zeQzNVf+Asz0//yTJ+7xsQ8fMzUZUcgM21056AEuhjrfoAwmKQcf2uGSE6xfKlkiMhN4AAGY3jmbYYJ1fy8Qkx3tCqymthGwS8US8AI+Mka8ylAb/pkxIyhb7pcVrCBO1ywmLas6i2Lel5RAHVXNeVxnXekO1gfWAAcRT92vg7IMDP2u1Jo6ueAvajNZOF93kK+HOO3gndblwdv0TcylbPZsqaepCu4nnqr3pxcUAAFOCxyQUnFjGeBa+L2FRO2k6jcBLVbDDq/9zxH8xVZBRx2bmaK/BKEvalk77Xq0SGy8gM9Ro+5pNjiuCABslfUka5TDue1h4O4r8oWno8apRzEe/jp3jJZ+XB2uhE9l1FkuVwC0OiWNAAU84OTt/Up8FFqw6VuALCxMEyr2u3Z1EYMy4OBhhNnzSoQKlTHFvK3J1n/3mDJ0CpvTLawyjgSdHxADdqKEh316S6xywe+ZiC8lslnQnmHR/QjjvrmxAjtKB5iU6YJVPMpH4m10HIOxobwzX4ItjdxFHxjYJVjhdju1p+gQjKCfEe0/2O1XHTrzQsyDzDdN0nr+BA5KxXpiEeOXgwyP3WxecOV2e7j+u+38zBMcK7R/fQbnhLs+XvHb+fR1bJqg0LTZj3yMDYhoXrP6voI2NiyNE+wNbQ5E5paNLcdii6KZbKDA9ntkTuDV2a5gVJMqPerINem7akR6eSLBrPNkebsTqwHWFXEDYq+ZBG3lycMIG8yT9+h3Kcq6+Xoil/5tyPiCGQgw3OFjahfNgiQu/ez0thomMyLMc/0y6D0eO/9Hih5BEVyxeowCziIshgDRFASXO77nv3EX7EHIiqsAVhYdL04b+XGGN7NbJKrrAHG994I/lDErOlCohzkPynv5v0uskr2SYYIPwtBAQhKKKz9k27UPLtQYfME/BBNisUp1h00TkYrbYmcFWQHSk2vg7hvw/Y6UlNo+uU/naIRCMiDUOkrx/OPi6wQFietKOcXLnw1khRx3R68sh08jx2KqanrTToYwl4fEMysFsSGoUJA4k6NX8GE8cc8bVjJNumWnqikzC089l74emMiZT7Db4b8t/V2kwCHwKyxRdeaz+H+RbA9KhYNFEUR6Qj1Plpc6+4NDTon28OnxDDSuXZSD2a7En07A+qMizWx+FyCjaN+5wApGdiDK1tjK2mDsg14PGsd65xMZid7KGDfF1sZuMl7G1GhDwk7BHylyAJDDdzMzYZOaHPw9nOJk123Gu6YdjSDrdz9Q2FBSc6wOUYjRkRDmW4V34Z+8se4y6AB7UntEqNmG6xDTqEvCtURfvBUoPEZb019ya9PDRZ3CLfbym+ThJV97OjMapODj8sfboLg+wPqFCB/nSL2vrqzLsuOwxR+28oae2/A+GEImDPC2K2eBGZzwe7T0oD80aJzZQG387pQ2/cqdVA/Hm/x1qGohMt/5jdosIT2qwA2NnwnX7A2CdguDFy0AXbfg8HwVQNSCtJ4YYICDtKwaKjtM0PGRgOKgGUdXmnr77Xeej8H1OF9lkVC3q5UZFGjf/FLICCvagwxKRyUNb6lZVPuW0sLZ/I2MrkCW2YkTtywzdzcnqjaxIIqd9a0zQ2idfFvPR4Vut17Eke0JhxXMPRjYqrT1zfRsGFSgcdkLj4uxoeCObdF0ZBY3cYG0vGmexZsLGXym94zhkayx0VSf1q0VkhlR5jTA0aE64midF/lYoKSWpbGII6coQF7TIRrTri43wJst8TMfCQFnDxuDM4OfVPW5fLvtwml1T2g2RVVpxM59XFQ9VPCMP7qI1lcl3jbVKy6oyvmNcJjkdYeA1CqS/CbIaU9yAWS6bNls1c6XFDJQhDFcCpaO0aUKTgrLwitIlHphRXPm3z/SM0pE6FTX2QmjoJWTnNglDnOZzwAodijQ7ItuMrDUZuMPzwkjuNhJxUE8ixn+h/Y3JioqP/VlLrZ5u92WCW8Sud8RaIHHKNpUGCb5W+6sYbxW+VnxRxxlYsmEY2/cTI2YlVuyILuc8UuAIZ/iahVDu4idnj0f2Ox/rcPKCl2RP8+EbBOw5l5FFvyaMjy+yw2mEN9u8zntc/lA9pxZcjqVFsjAw63kYgJ5ck4b472d9Z2Z1gVqdlq2EW7BlIOISz0Xit/o3MkXF1ML/Yhn180WyfmWs3SambqCI85ugzMhFxbNx9oX+Q+ZJCcMRUF7ol3ygI0GoHRAkpZXANaJ14mWpNVS8oXHK+wRyYwtTzFAWh9K45JrTf+XWP/korFqxznD3voaSdiUGdZw5FL2g2ZyvLH1plU755awflagR3+EW7R4xCTJoG0Oyr/S7FEecjeqXEt7EXy3D/ORd6MEw2TU63O2wMvdG4vdWGkQA1ff66qBFXhBbfYdWFd7uPbMFmJwD1LfJiR6I87nlgS/aThfjd4SlkjU55Wv56Esk6anrWhqtOB0j/X39qdJcBHx75DGm1rXSburFTNI6hY0W9Duoy0GncLKFOwIjSQF31VZz9cMUcCDvL8d1zeROOddASP8XwT0dJl6zQZ0TMpkayBtRqIhm+4WCPWWWWTEESAbI+W8dU406gZL+hx9OaesIC7DDH0VtOg0UaOitW4p0jLyfdeSva09UAThJnIXyufDHn+sVX+HTM52RI1nY6nOC6RsRMNsX/YOj65d0LI0QSGDdRhb1KP6mhJ/NHOJ18YpslhNlH4CbFtomlCudjm6Yt3bq1/hqrrOeN63zQ/KAW07h5cpYxN0ZXUUoj2RW1EAfRLjHj6vSFz0W6d/2LOsG0xtN2VBmmXYjsrAi4xiNKf3Jjxeh2cgBmDtFriSGldOatpg0Fi61OAAAAAAEM1O6dGnGjd6lvJB20LrOugQW3sUcaDu6iRTH96ZidH1Dk6yQH79eMSkAfTsrg9domax3ozpN86b7v7TgXXWXYJFlSejfrjvkFX/SPJXvmmRiKghPQQtmf2ON3jBKNIKryUesee+VBjMKyJ0gR1EM2F2hpT/1DtUesUNKUhUArky42Fezzn9vjAwoBqS8bIorR7FvYlyVxk5zTeSyxUXVWEQA9alCDNG4Svz2DIBaUsjTfXu/mMdqPcv/tDkvaoYFn2p2elarc9DN1SAkn8+NshDfK2mcfU/UBNje3BRqNQOPjcBZcJ4aZNXR8/CixR9flypyZGPc3dX9licQiRZeNhzFnzmdP6TpID5DSbwtQS2B9hsPYaxUxqmvrbLBkCrwVZ1h1JxClhYujwXBGhD6OkGrNvCyWOmpN0KBZJEKbhHDkecXjFZ7VMo5GIfhVEqj9o6JzV9D5a0poEow1IxxD0zA8G8YhdTlzlaO0FcwiGg6dGmGYjSsgvf3RjF/BGYSQ0AL9uAjGoikAk18viVNqtCp4CyRlgG7l4gP5M5Wx1BpiaayNBIg9oLFl99yBEUYqxaUgirO5YzxxnLp9iot6TYnlauzJ8y7oTotODyGUqztwj19Ggo10lAqCUNVseFpoAUXy73zlt7NIXWbHQbIUlt5nogeoTENtyaJ4l/wd8Gs5N4tFZrtwnAA/A3TQ2zAxTDPf5nuTqFfb0kJW2LfTmuCHA6lKcVjgOaw3Sc4arhB1CMUjft3p1x/MrFjtfi3g7o+iQPQdDpapJD+fhp3F2y1lzqb6kKKOm7Bk3KiCsDzK0qvV4FYhTqTXQgiz82j47BUaxnwtWR77QaPcz94nO8aybSCSeskuAc/TGqPcq1fzN8AfyW22fmDBCXMJtsTarOhU+EuF42GiOIOyUvdW+BOs525A1YUgFJz1MyQprybn8yhz+Ts4Kq7g+/4l2WLiayJMnu4i42Clw+NuzFBKaTqYtYQL/X3/ks5NayKMSWvuHv5KI6oPnO6fX1Jvk8gg4IBJrm6TbJD58ziSnGbjD0W2+UDhpHr8yu/UQiOGZX2PZT6+VKmoYC86P2ZHG7iKeQiAMBbWtrt4UOTN8St/U9VSkD4pxymWfetr2MY9gDlljlaQN7BFIMO3ioHNF675gs6Iqz2ohqg7oj2K9S3o2wdWuFjE5E/cVclBq3bIj61aoL0XA5bD5epLEW3AfzZ0Xw9ImKXSJ7I83f5yUwO2WKxbim9fYq7avIQIdPaKgMTYfdG6KPodzEcWVPxoICSpGx2L9bX5wxjeP0XKHHvaOcYAVMQ6GYo0Lr05zs9exduDLuaAZgvXKKr6AmyCDABYTMhkDo4Yi2Q+p42WpQgp7oVyY+kW6pwVbd0+W3LJEhdACtPtobijtYNlCG5+6fmz6XkOI4xzG5+1RkIZZtN14nBwNrxJqJkf8tKmNLpvAZxcvpHcQ8wMoW4Fq6jhqdDR6iq7XSYg84AN8BmfZbcGQ69a7vdQ+9ZSFiqH4lpnvBRZDHEY7EncRXd6VTew6KQZEdhGn0Vt5Jjcir8sBHYQDhRuZA1EV4iPPnWKG5R8C6RhIVHyEpqN7h4/i9T+uAWFqb7S4yO/wdMEr5fpRmIy2sjYF1tVh7tqhggCjAXH8EqlRsDrXnoFdEBnzCN5iaJmqp/udoDWKCBwa8CQEQTtYZ8gh0cC7Hc4TUUz0aMeXRMQMoh1jVMnwA0vGCvAWqecJqHMbAGOg91i4630lA/8BqQZCbB1nnQORvPZngBIyawPOaXr0AHezNBrEK8I70hzzXCRqaq/VOWAcPuqUZ+EPcchFq2V9aWbhAb0pxHP5qqQ551sUkOWDWL1eO7bSmTi45+Icygfa/HjzlpkUT2sVFJvgO6t21nKEk1w9o3OSvGZTiR4h7G784mpUSLofu7PU/AdE5IO0usekOXS+W99pvQf46dPu4T81zSFc02gMelVfdKGoTvT9vY/jHcKtkxV5g+V3MJ3+QkRkBankEwKUxYB2rb//E7v4AUsd/GE75JNsf4K+vhsegNtgPuidQUPdQV6xXFNRhjPxl4QmThWOkLu2XCbQN3rRFLgqgXQ0Hg9jT0l0DfutfdBVdgwkmInhfVK/IMQxqui2zk0bydJFeWZHULKu2mvtNQmVUKOXDZTOw4OWpfzSr7yeMO3rnu0vj+HzyiIa1A1UdFMYrmcnVO6YeocGa/EAsoZOGmxfftS0g4zHszQqUUyZkQ9/zl/fGv7+IGOWEAAVCMLK7Q1LH6rlvWsJjVuqG07nwTJnrvPqtq1j6g0Jo5bUHx97vkM9LQ6373iN36COkPMhXefJtq2PPrwLLkVK/Bp9zQrJK+q8PMJTHAVv2KniLgXoetaS0UPvQ7F5QATsI+b7F/Utxgu4T+YEifEYa/0EIBIhyPNNn7E3UqaxPdLRP/5fgzB89BB81mr0kyeOqm8UAIitX2gGJRixVncgv2OjKH5YHGSKecjZ4vHIYnsrv7sxHr0qTvZH8p8rES4sRzBSwdiaye5jzAKk+zniok4BUQgQl8qcSMv+WGJGKYxICpzxHWgRiIrEM89TjefylMe0Ys66WqQQxnc5KWDQgk7MN1CeJXtm/YPuMWinhFd30kKYaZr+GueW92BVb5TnQggI7RDD0yhPqL88MLP9j2o2U5WM3irur3t9F3MeFKbIFcJK/E1mmxORQAXfSru9mbzv3h4LpgHki6UsWwxapDQhrCSakd5xGg3jIFKJ5wrRdGASAFWMlKHt5pB6oUnK+HZk5hbbnik+Ni3jS6vCcGb8k390mtwgPe42c5MG50n/5ncBJa4VHDt4rDyAXCIP6Qb8QAk7Lvc6YDhhx9y0JGLV6ZuDaDiVDYZloeL1Coi1j2e1TZmwm3ImQ9zQcbQWyYaER/cIRpekWp1bb+L+AS6V568xnMgvtLd755QBWCLroJ8uUaI96QuscYShdLYjvAla8pMqfdP19ZLxCnbL6slfPsxVTMnIJZkx1tYuAOAUNE1Hq7IX+vC/mDkdkNBLJPZeFTRxrwecBzYAhtdKTW3j3+p9gUnuZFchiyZmQF4EokTqbq9Nn6JQ5HoPKTmY5R3T6rY+OugmA5P+aghmlG+Jp+fxooGT+p1tmCcKcrB7ehcas6EZPQ1e0xjbcjP5xkIMIt83qhrmc4UTnQfry1Ii161fgD9R5sceAaqEdl2CYABLqIJaV96b+rhsjfpBL0bN/L7VnnJif+PWOXmVxcFsomSS3hPMSv+n6aG+lNdvaqXJSkWwhHJ/f+w+RKTWQEZ5/4XvImXISWvkuakmL46Y50yq6bF/oLU64cQLYYOt22R4C7DWZ+fpZ3SWSvt4NkxMVlyTTcKcOoTtxSMfj8muG3ryV4KThTJTygPvsgKt32m0ZW9aZqLBLi0YcOx+22qnGxino0BkDCaP5OyOImJNdAyLjxWD1ED3dRPJAbxSCz4QaltoMVy3sSUbGsNyxOVG2zv0gRsCc2aj11odtLpwAWBbSX4Drd0cIqWDYat+VNWEu5ioD8uJBANPZCcC1EwaYFu5HSuWn0rd/GqEvbL5XUIATRHGklExp71zacJ78Z1VisVhuzuFOH4MWcACcT4M+SnzYiWr4abNbsr8YfAd6WxzJu8Sdr51Y7uDYLncwJmW7owjOfP8rjyzJBKiIiDsxA8NPQ52JyOOl6k1TOGLjZQ+rZolXriOVzLh8FV9VkptmlNM8Nr8aW3ztvvjoi/3VPpYwxdT5rx9fqlxy4utn8ri75JZIMIqF2B9mtin9KH0OCV46wFvaX6lgJTvXNDuGsJvbqANkTSAKoDsndfmCqHowwm1jWjzY9o3h4/XSKTZqohgVYZ8s6v5eWH2/HgmavQC/E79YTnNwOhc4nntFY7LKXbfPQO0/q10aftahDGMtirAfV3FEpzEFfZBVawibmDlbqr+vFso+XMmamnA9OSKp02beoghm0CptffJBKus2Fb+VTJY+CNAcgQ9a0ld0sKn+9FbqLb8vo64WTmN07H6o8BNITwajby0lqQmNKnvn5T+zkBZQ9GXD8nNOJH9q4xHGStF33vFkDubEJ4Xr4ZwI7Gj8ItbdRxXbKGx2RuMVcq51vRk+CipT/HB74gbAEO/2bHFVuq0lMYXRv9jFPhnLuzWbkjSgTr05yVeiQClMzYMO25c3pSi8LEsQNOLa6WU0xBm9NPhsNXVaENZUJRsHgbfClOodh+Fq5VWJuwkQ9/U87Z3QlfkHawLnZc3GCxnkfeVy3KRUnS23i3iR7plAk8EIpsJ75QIZFnznyFiWcTRA6JnO5FtNtFTvBqLF2JPvfyR6/wMG3CBtXC2SA/Ok0qqdSfTK4Luj6cTXcQNUlzOnCsUShxrQR0lYkgMetW6Rj0IHmqlatdd7HPPE5ZHm0yG61ohbaK6wexE6rZeLZGVBah3dfZZh3DH577nJKitJPy0PlciF0DeSIhn8gJNxEMnseAYFBPWoj3X5lfKdd36g1kQrSkvAYJjCs04kU/vj5fGwnO/QNpMM9r/C9ZsjLN50EgbSsAL+tszW2TMsDf/g/xR5iU0S8CyVYfwUMORLaGbFKVnOOZj109QA7ygSFMNJxnqJE/7PcgDClMVGbW1XUsVNUy4e8MG7RFESn7mUAMU7yXsqGL3rWyVPMChHCYQudwXXdc402jn4NZSeA7BizULoie8ylqJCTN646wBH3GY0iP9SCardmVDLLQSocDXYtPnuFjv6O/IPU6IlwNZys2/A06V9p4DU1sASpXLE8E5UiILZc9M1sYBMCldI+rHQtNRNT+mhnv04kV8sQ8dbgZEfYQ0UAP454oLr0yDi6gseIJXI9DuNmlkrG/Zje+gjsFwLntdGWrxTjf7DkNr0Xoh3FN8p7VhNt12SzJUVqvplCbGPNGeeHf60M9Hr4TIrj9yD8kelNdt/x9FgPEiXgfDsnnWLralfK+j4DqC8t3MSoyMTLlH/1onrJJsZ+glNQm9kvXnhGzBY8Xi3OEuyIJRuoYykBjFKnMiXOw92ndyZbSyJoF2VE8eplcor6J43aN7/LfzmQo9dUeKV2g8qQ6DntKI35cwph2AzxbQDzXSx4epiU9JiZpyZIPulUo19O+JFVtpG/AjLgqFCkh5EzniUTHxB8Nr1fBAvN0Fnu5viMobck29eJusHSWD/xKKs+uXZAEBGboDipZThzaYDtig7K+TYQHjHVb1jsyvXioozANIv0SgNdVjLoUpl1L4O4Uz9kdIxqn/XEOhnxt6vKXoHgvWpY4s1xmkV2eZ9YvXgc6o8d7dzxO0HowoAWDiHab0sFK576cTOM83enBdODNg1AvICvbjZqKlFid18MK1i93cvEs8//Orl3mT25VyKkGzQZn8//piYA8caH8umRbAokK1YFI0yutlqs64Bdxa29U3VnETAX7xcjFriK+G9XONs9O26TK1eHGqWa0Ftzu8TgS6882Qg4NdsWKlafraENKGiDrE71JbupUM3MiNRuJaV965+Jd8QLCrqjC1pP2f/g5HQW176r+Tnie2+i8qvd2QASxUVXVlvv2lVqlgH37+HCBIn349o8KtiyfQQnrAj+Q7v0POvDjPeTZjKn1JaSjtuNixmTNLv3wy4gZpVoKBkflSBguURuZQxrBoVYT8I4VjTxYEOOgTfTb07Mt1ykQjqKG4E7wFHwm4r78cvEypvAMpPBzSoAAABRNNk53SjHgdjreE0+/yReSfbUXTeYobVe8BB5WdWIVbUJb/p4MfCzD/EfbNxtadAofKkuug9mTKBmCpHJtjkf8kZHzPRexIqn/p58YUvV8cY+L2atOF8dJR/QIf6Ls76RQcAdwaimsPs0+m2mtaCY3sJmOLk8yREa12v2YzlAFUGr3hRjj4qKhCp8zxHXe5odPHNsJxkY0EVN6mSwEDIPqTNJ6wnUhg0kbC1VsFUoM+sc8k0lFTWkYgKXSl83WYgHuFppUnrfxy0GZ2m824c+HLt7JWazz3DeCFJCKy3AFRC/GwFLU3Cy0KG3FkzxO9+SftDzImF04wASak8+G4lANvJqMl7UMw1F45ZDIwJJegHkRrEoecz7mle/pS/54syCPcJsXX9Zpwj7XfsJHheQSL1MDk4pMlHfWtntF2WNzAH+tainZwyyxHH9gtiCvTm6YunoBbuJqf9hgodHcovY7tieVlqVjEigUOo/lu9Ph5b2qmD80IEeUecqZoFpM/3b/56EanqjvpdQNoZOj4waBGEM0dSVV4TmKp7cSfDPbqMNQtrL9dAhq/SjIrUW8G6Y99cPVNRC5nCIMZ7fQVPF2T7DrXuvcwwdZEaO1N7tq+YCNoiVrOjaNARIcM2RqScxWbe+6kDAkgdEbyBC/uh3oVGGCHsbba5520ef+XRrGnorVvYjqGe8yIBF29uZCC6f8MPnrv7ZQR4iBzBhrEnPDQUrQDa0ZWdjqi4+hZjTs0BkDNLs/FtVBVQaU+LJrqNQkgS3hVYUpEPh48SCWvE3pBlDTOjJBUlbzWuKnYhVu64NbpcRaH0V7gtzX1ymuXdv2K5VRmZGwpoNH9VI2SCoXMqq/d3AaJ725fj9RiUH+Q8AUW0hS9sNtnc2NnX/3DYcxTjnaQuUN5mz1XgBrV9Fn1WhuxQU6NkDC3yGXcDZUGq02uYJ+6jPuB/pWOf6Byp5UZrSLeN/uT8y1pH4ZixNruVlIJlXuWPuHX9pb0UonW4t57k6KARVtecrhx2ZCODUnSgjBcTmv5sOuU1MBvm5JA9541Q3Lp/S32Tu6/QKLqexjYt4MZmWXi/LPq1dtrtYyADaNmFh4rYmVgc0jAydfRHitCvze2vqfZXEztv/Av+rXyD229uGR9PBG+KqhGogJeGT6GpyT53EEJPVOsyH1uXBd6H2Bh4GZS5W458eMxroYDjd3V9+povajexz6QSn7BlY6Xpls5cxm54BRiN+xZ9uc64qKy4lJ7dCmhJw2J2N7d5Dznr7uFt5axhD029vZSb3Rdewo4BajPJr787VNC0QwwtmxZAfLqS4m1AOB6ez+7W/DruGGsnKJl3VqXkMVN0RkNvE/S5r3xjxfOKzQHTPfi4LJ1Rd4ouwy7sZCxh5JTUVwFh7RRg2EVrMmbsQBiN8ZxUvDn0qIw3X2tlhAYF99+i9YlrbxSVH6CoD/W6R1IcbwcFr0WKElchXmPc3wmQa0gbqTik97uyh5PdSYsULGtCsm0YWEYc5ZARKS1xjZ1sbfCe+5fek02/PPs+wglXi236s+MbPEdZosClS/oFI9BEDQSCeQs5VIF0VU88WvSPb3cadMMpeZ9VdiVzOWh6NFnY/gGZjXhdUAsO7gOrDiankW1efkh0NmCQzoQWlOX/XwPgMiXXdnDg5vDn5T5NMGedRkn0F1tbDwxjE7JOBiWnYL7GKPzprcl9B+Vikg1lpi+dqrQ6K3EcAirAVcBc/shABeFEm8msEDfEhuPAKwVg60Pm3+oeXLP0CbDB57JmPSx9RICDQho/Rzhb7atn2qvUOs8dgha6JseRBc9lH17XT5flRwp8DuKKkOOEe6H0Fr/MMsPAyjhzc6+sjF9fj5o12m/kXn3GAy/r7gLAB+2DvMNAap+Bm9sF3pBVsPYwTWHDEabKzvEzJTu1HyGotBIIbIHAMAmzrVvKOYJQPIGUlCCysOOAodueXg1P5dQolag+XChIp3eR6y21nKF28CDWDzr0IL2qGRGh41C2XOGc4Eg/jXObFVfvSE3lMGNRdU95mbpLetN/BfJhA9Y64/FhyyEYv/5iICR3EifX02PKlZEXqWQcGNjEnl8Fg06Q4bmJqpaSlUuMTQAH3oaT7KyivnCqayQOzIOT6SFJkAZ+M0RnjZbbkiAp1XAK3eT8Ng60leT15QUrSosNqs9wu54tLZJR4RR4eYFwFgJ+hmGUs0/CdjJeoZ/CsQ61Cis2wDc1NLy7q6Ayrv7Pmd9DUTJ+/DsrUwA1kW/NQiyT+7uvtiTafI4US24EYnrfnFbQQBTT3S8kXLNeebildpMs0GF3x1RaXtdml/rlzY0yXOX9VyNYcCKMm/lhpI+4QJYPJWh5qmiecqSETWx1GROAtjuorW5iTEkXViKe7y32WIw50ED6SqIP6FTkJg7pOGTfhWgAPtt/cbupwg2rUx3rgsCklgD/j6DCLmJIw4uD1Sv+s3GaDA6yTZrl3wVnNtLyIO5DxOIMm8RFQ7kkc3/7HFYP0qJFRTHEtQprUneMFwvpHbbZ3pb+IQ4nLMrkeH8M3reOJNyLXAfQk7M5zmidHsn0o6zdCR/456HEZozmQLiFTPLXYBFLy2u6OyeMKeWLaC3l3+YegdvDB404E2GGRfmG3OZMe+YUsuSIFj9YNAAAkqy7jOQghMsXQj3ng3kf34tXt/++li5JWQCqtLwXAWCDmaRM1ReuIF2wU/5E7dauxRVLp6nKy2VW55wXCY9YvLIy/zDkyZEtCq9jaA5lLwM2F8Zb805tdcPqS0ibTuaJi1Wcrc8DGFa/Mu4Oby8SrJhcEFoVtGAgvraUoF2rh9gBVUasvA+VLVPKtHkvCeiMrEWovrdH+9KDvX6jPUrCgPzlPQoUsXIAfYYFv2n+OcLz6mQejW7+acQuGbl+3/+D5mF4273KT6eF4cULGMXvyEjyW2+OWsRU9eQPjicIRB2kTVwTUZg/CPz9QtQhEjzD+65Q1/k8f7ArMPEx+kpct6mtVaUKnZR/GO9UX0Ksa5BJqkcUNU6VdUpWlLC4aQlmmu1W5PVBMDFzgK5nXhgyxYCVJwJz43fBMksJ2z8qMADihKjDlThYazaauxH/+uemokZL/JT63TOTq01HYCq9jNy0nnGQ3dgq61ZPT0KtcdiD/V2LOfRDmmHPIx2gIfg8YwGPSdQ0lm0x3iN/9nfPCDrX/2eMFWzXH790z3lzazr1SkFp3hHJf5KpnfCdFYDKEJI6aK8U+LEHeakLw71XUtl1kqEdb4S4BRZ7S1CkmB0PhoKf6vyJQ1OzogHmyenW3gu72mSOX9gTwPtQsYd8+H1OfQ0BSaev9oSurYovuvd8sAC3xGnbJF2BVaj5nxt76rrGfFn1yXyDo2ur3p+m0gtJXOEohgNWRHh8vmkb0rIIrfm5iL9GjuR3csqS/USiicSGS1+KKblwb7E5Jj02rYUKZ39OSOiz0n5E4J4dDLcDmrXhgY+1stg5qtCQA7h2fjJPeFjfiwmprfUEpXdL4CviIxfMqQvwq0EFjtTVzn2tq4r3UzO+QxAGkAdjmJvbwENYHwO81jrf2s8Bc6/W7+FSyCnH//zClSHlyoRvf/J9pSV8KxnOGZmj0tBAPDd2pkan4v6w6EdCUS81L274X+DGsLfUHU/Vl1FT7GnN1QLnGvih8AyKODvytOZt3Qx0AhA3GqxY0CgQzJezHJP3eq/pctxDKD49KKlbquWDaQu0R0DRtbTXhRFF6YwfoB1Scizg382Q0hB8/1GX/ZoPBPDTJM2XeTKNhZ23aI6CsDVoU7nE/fxvta/ujHIKBDgw3ANjpVsrqM/80cxPeE3fHhmr4CuG6yr4h+m1xcDs/UExTSv/aAJ5qy6I6i/6RnvkN7HlAoeXgssxm7RstmT+xW7f4aKhqpmugsCcPvXB9UekV5g1m7570yRwzQray55JNaBGgSgy2IR8gA1qe8dWfW6rVzCdGSaQ/kMo9Y7tBv7PvTH4oE+ZxsHbuJH1WO0R1KMoVNuZRi2oRrKfEZaInZuDOdNn1spFYzQ3U11uXwM6w1pQ4Av3Vb2FxLcYDfAd1AJp/YTLW/5QVyvTNLhmgrDiWseFKdPFJocuN1WYDomRqTY1/WxXEvxZGQ1vRIuEaeVoDZYa1MypXLr6VlYoxR4YZB4VF490aMZp/h0Hmlrf+XUf40iIv3EnlqI8mOigqlsgGEOcQR7BYXF1G83ZY1CL/wVTLLhyIDcEwuhLso+ectP4CTEJlpF1GJr74zI0kgMjDW57260dsWMMnc1SuEGg18EadatmTr7xja5bSjGUFfVQSVhZ1br8W7bInBedpkhnON6Y7JRkd+voMtO3EOpDUfesLCXfu8Wa48ofAxIAB5cp56AzqDmwI0o0deVYeLR/a8+kwIR7P8qIMUt77I/mEGIqsbK8lDzdPl3QlOOsN7zwqKSD6wBS23fl0jSHaz084n8lO44gstQTjYMB4FHVTRMUGUP6Y7NSuNlybKVwc0uyOftz5bGYQq0gJ277D/egEHUbqYlyoL2dWhy4v2qupSzuHlVoxxXe/hVCyjOFQrpj3dz2oTDS2K1tB3s9Uv9wHOYi8XS+0QWPZCHTjecujTKTTFcUNdX2rHqj+C6wNc/PQVvaOsKxUuai+GuyizuKSHgUXjkCMyozboE1Gnlnh7T3NthWNNQZ7JlTbsFbvbKWgK2I/KFYL9c92gIKtAmRPugXNs8yakEaAd3omx3gu/P8+xz6YmDSGso+/eEyG4iPJb8xYGsZzE7R6P1JMV9PxJmzuwcNZoS3XvSx4T269CBeWJx3kmXdNGbiZ4qZoy9BFFnausWqLqXXpCkWZZELjb1sO7MjeJBBhA0sY53Us7EAPNSeAOOIQCAOLEjvIgG0zgJs/+S7tnmalyRpvk0mFVSqkus3wlLG3uadHNJDy405sxNUCedTHBUsmgacXlTEIYPPZVdaGzgGs1GE0C+7pMzcpXf+eY13PJOQ9tXNBGbchVKZ8Dq+73IBVDT0k3ocfegch4MK3FEAQIY9wXZlttjS/hPdtsaX8DiSXqf9XwJppxifi7T7IUgZTltBkdGAQRypABp5FnpcP7lvyP/+YJPBza/UiwRSIZxp/vh4dvIAiwGdKmI5QJtGL/Al8CkrYQCoGlgACjaa48RDPs5YsMHK8CgwrhrxNVO8eUeJ/Bd+BnZqIKOOUxK6O4+wnPsQD5XtcF8wZG/TPlxKnG5Cvg2DgpOvkU+N5B1Gs3ffaTH5KRZBLzPW2lzgDI4SEtZPFikEkaS906YXeJutEbsvh+ABCg9JR45YU4nNgQmYzpaDs94GL5B98TTAJOwzn2m1KgB9cLic8nU3E578R7vusShp5OjxdJnIUgJiyi64thhZ9Ex7funwk0F4j7LMvMo48HGDc3cxQgjQRaPsT53HfkpsGZwkNs3UHkdaRwwzoWdFDV+udm+44BVwQe76THp7bw2cOsv4qYEianAmVzGQr6WTSKBi1OpUjjT3rPnb5vyykbafvMN/7FuuLfiJ+S3cOHxmxInX2h5Tw7L1yaor/MSPxU/wFTidwKP2MGHBlpxUjFBnwPgzQD7KZ+C6BSTHqhDOul7QeMGj44xbqknNDG76iMoJTRtpEkAxXsUliDrvVJsB79DmMlvXD2CTBFV8XT2XAinvLvNucLTJFn8XA3gbd4G59Y0sosPFFdKmplp9xKQ2zOUoVNhglw4xJNkbOmWdZbQnSqZRRvGK7eK2dDDKESYeNqomuiC4vv5Zhr5uMBJQtGjAhMXh6Xtyzgno8/rjs87deBOMZcLGZ9mbh9qrI1LxeNfYO/qJpGQ3vm/MFRxyOt6bbN9j0Kg/I/8tE7B05J1Z/b9s35sMXIC5PzGZw8JCwxSdPhjruR0bbjXWFAWic/mLDIdTPk1AA7sGN3PZm21znKZMikvzu8EsMsKpZXqp/72IOpN7Y8s6KEodlXV35/xIRpcBgb2nw0IvYqbjI/KOzJWXYUmChjDc0eJ0xq3T+tyliIc3kgOb9SyghK40S5DWDa5VTty/0Qtk+0qhxkBckB8ICnAh455VGHSS4r0DddTAGOxjDD/Wbu4STV2Dt9tbmM5gtotkMMY6gkOxtOQOqNABMXcr7U/uBhAUh8FHMVLmLzvrblGjne2ZheLbL6CbyUVWt+kCmGdG5ByFiilelxb1MpxguEjO0Bet8KN3nxDDlQAaVXM1gMpWVtl2mHKmZ9RfIfjObGlR+83G+3tFEf3Dy5GbnnQVSnWiYJVEWn2agc82bE1s+VwQYA66t3T/O4uzwBUG4KerOE2w92BQLYkFlvzuA7LMTRAPplufjLjmQSFVdocMDkinTXae6Wcl6HC9JD0V8I3IUdc6bIeuuvwCyiB5ntqz67aQ5X067P0Crr2OvxiZ0fo0mgu54uyKiaIizr7N9eYX+gPDk/O/iN2a1gklT9NO9DapTbb8vo6lATcWIZUV8A/LuBnmVcZjUgYqtqGO8LPWVt3GUO36jcj0pZ1Lw56l/Ued6bA7SI3XhRk+GlKtpfOszt6al9SGrkac3Y5DTqxsD60F9zaXkT9GztJV+a/D1i9iwe9B+V4wj9kJS/fWgXtymepMrxvLzOWehtE/HEt8j1Gj5XGFdwv9QL+ClspMm3udWtuewWhX9+ubTWvXL67++DOTUVFx/R0TAn3f9HhvcKwyT4Zb3nHXbfJQwWunLj6gmz4adafhVyk8K5Jv0x+IKI2WJeVdDb+ns7FSs69+78tj+FLj6ATjJgbjOFpQX7LrRZjh8WrCjfT3e+iJnWDdUe9aMdgn8gbq5th/p97wUTA8SrvGPHJqQ4Vtllm0z1YDquRUq9U7iGLzocAaMVuZzTSHswCce17uglNp/w9rip6r8ASVPDxnFCodCRy71CHOwZWZA1kkuLBu23pR9MCuXkfK2LRN5iuED3rcfrhsg510CulQLx880c/F+kNGyeUuJi+VxxAsTGaxdD+IDy8024mPZUnQ17YArw/m34ver2P7ua7FR/BQte+HAZH1Zs47RgIC1AkduA9cAn7BZm7y8O3XTP4w+0e2csFL29eY6m9QmS7fBwSn4jwhX8BNfQHSl3v+Cga2xGxwj9zDThUloeM1pS9odwPkVrzkA69tpbeW/pHA7fq9kvzBi9722NFobzYthuXihsq5NNqTpV/sjIJtXRtHe6goSPwEaAsgN4WZH5NqPbnSsHP70J3QCZoX+3avUi/+gzMVuMOP/bIVWRvFFix8rVBRmny8XZN+IO6qrIj23+xN3lk+JgTmps6pUxBpCvs/8ogjf1rqmmI1n0P5NIgLZl5LeHpVy7+yxSwunY5e6Z/x9cSSoX2qRJmCCvsGtgimYPWgNq5xYdEY41ftv28b0nldAauYQCQlSfES5gx2HdCgxyJ7rsmOTxCN+LFaQJ++ev0VQ5raGn6pIAUUQ3ydI/VKbQyhRLxgdYTn0kKvDFBALO9VEB9RmiUrSVK7o7Mq0GWgjTwjjQwepyt54Pq0+yZV1kRDPhXSYEouD77zpjLeC2eEeVx0ECu7MzoxdvIUKheQToApUjeeMuysoqe+jda3OvAjzn8OOZhNT3Ql3/bnd6ibvNWhmU9ASoipS03TrchOXt3fCTtqSgjh77IDReKqDOyvWkju+f4BfOpCKymND4geVKpvPj4UgYNDnoiY5JQKFUrLpAki27y0nVKOPYpOQMkjxmPVKVR9tVOyEOptstXWczZVNR9gbtBLdNqMCQvm3zFUoN558+Q4Pw9XXHP4KQImPUarfmvJHHA7eXJBk+1jbqbERUCFi6u7itihP3X43VMHLAboP2LxIiD8DCxsnua4r2vmyA58Wxrh0UqrRKD++bNAUCI/nrk9Cw8GtFTazJvyjqDK89b+7oK3408UxT400beBIH9KCV7fCfml4+OGB26dTQrx0N4d0twwIIndBW4YgY6UhXVvQ1xuojWYhZ/OAt73o5VgBdq/IW3xcE8mgvoA1FWgc2UOyYyu2tsJEQO+b3922a0Zx4b425svdAIthLdkRMQnuqiOrqW2GDBtSaK7gp7LTwbmwYjP+5ZiHNsWxnEM2GQjl511yn2ss82WviXql0OxvDbOr/CHW5ZIGF1wps5qwrbDzdCH0hGHORu/2/bxgR1fMnzUgLJz4UpiGmM4xy022fiAWlDaeJ6XlZNFFOd51CRSfL7AnaMCPSMOZ0+3VCkXfpndzDLtUrzgVmwXiupQSg7XBJ5La24ccEFdfNEcOsZb/qFeOYrRqXoYJR4yIhI6lSPtrxf/fHf0oB1GrhAuo5SmMdT92mLaD7LRSfcNNxJys3nogRLK0J7x3I9mVc1TMrSOf0OOMd40GdbWLi7DNUmbOZrLOwBepeUdpo2lzSrinmWAL1Z4GbSK+atPQS47LplSE7yPV81LJWEiFAS6mhwW6i3NbbLTmeKJhs46yFI8GU7UwAc7tfnYF1wVHohaqTfMXEjp9GqZxkna8ZenwpRiAEGU9c72muML+P7Vc8YLk+WGpGmTSAzQ5RFYGwIt+RhVy5awY978jEjxQxz2PtUe87cPVlPgzGCo9Xkvb+AxwVLErl/lgBwrb5CBAdt8pL45snwUjyNKKfAT9IDah0c8bJod87w+SJ+f6zaZLWu/YogCju3gTohl82yfuKKy8ps0umj3j2qyuEwI2VNJ7UEb1yPYCnjl4wYlh+oHHoIlBO2MiCHaTv8Ry3DdiuKhaR7xGjt/qmQewirjW53jl999XtLIJ/22c+ilXnjeyySTM8ESOgJ5pl+0RgK/Aq+WyRNGEqbvGZNZmjGtAVqmQQsfHHIYL89U7muYz6odUYo8ex23gmXh12mPADD5EUGX49A8APSDi0vyVINXFzwAwf9pI25lpjlq9fMTtsiUpE46npjhKxOm1WxJyeLwoNA+TwFDfaMiyoFQBS6tS8UbnOm1FP/kZMncef06HYjNahC05Pck0CaKcTvaAvcBRt+CItDB3v7gwR30VuvXjkHgcoqZgQ2605yNENSzEoZjQjlK1Hm+pCUR3yF2APaH0EzpdCmGWtJPCPuzrG0LZxz/MPjxsFm5SWscX8EzyMvatOFA11J4iJrOyi+YimDq0UJUUtpeO7cAYg6Eup9JnJdpn3KbAlG+HrmqlH38CPzUgc2r+z1UfSHaS36/KiCk2jjBRMKRLJCaq9LvgT81LtQZ3jWX/mGu9tNZ2vi4THAk6egEagDO7qD2rTAa8BF4FkYHZ2zbp44AKsqCNqCQWWTrJFFlcBMlVAieRYY9Nh66OhvJfv8jMOujfBWFFQj7DdEfg7BHIDUvOu0Za6UI1AIwBOTcObzUsAVeAVmvu8k7VdXeEhOsRt5xAQPc27PUPiB1GZD2hHUBCmOrDfj6FzJ03r2XPLp4qmrCQFMuhDa0Pdd/WrOZY9NNeFrPLLs6gXoR2W0U1n+9ttcTx2I5pKKAsWpjFgZO9im5mNUlnCQZIk4ytquf8xXZuv+0PbDnYsBWbqpO83SO2aDJWEuscnvBBiGQpALNcOkCf0+GJx1WNsA3Sk3wvv/I195R0hOR2Mp4hmIMPDIBtsFxxDF+ktb6F9awSyYiiYWucdrowwLcDNV3/DguFYLYEYYjV52fDiJmg0kXEcjFn6uLC1v+Ebt6RjXjkSIu6+aRx6HyzLvCROYDmmeLw3jpj8+vWXNGwYyE1OmHvSPeUioHoc8leLtCPlgThB05qT/GcOaAxlbY32p3gsg8NAWCSXlZkQqYX6Pvmbq8Z7ea+vNxaAQGKRlMM8RLj0vAYxQUiOJykeirvqF8h5VPx2ebdcx5QXYJnvtPP4qGBhu4SG1VUy5THbi4zfP7ISChgvLQEh6Bu1uwBFVYu0ZK0UqpSu8z+f1tEBa1VyzniuGbI0BjBnwuGeQuz2/Kh+lal2kt/uzWoCm6Lm/NK0pKoyXuXRLAE0MrHxb+Qhzu+ENgiEUWPd4sn/0fgu1SLYy0TAyAzblWCvqx4iEuoTk9cV2uybXWn3wnnQ0TMWEoTZSSeGu5raYbeIU6hBp+UYHWkt7mOit3kJbPLGO7dlP8Few+L8JkU0vrzwY5vLEWJJquoNMjKu50k/UYuWxrAAU7NrtiktoK159fOv8hds2DhdJSs7fGbyTGcnHuDz6I8VGvN+CvajX0yP1FOdzJ7NOu6AX1JkbgmhWB7qTJ+BXbcWKaTbU44E1oxVwdELmqqo08a6pPnfHQhtI4gn/AoENUn44GjK8U0HJ8X7jadfZNvMgk8kKkJg4773Kbc+TlUY68429LJaC1bMSamRflz6GW1d9HWqeP/zP8Ikt59JiYUtD2N15wx8mogx/sRt5KWNaeR89F+LY3FUsCUVb0ORuYPbNsPRGabXgl7vqqDmbOJShHz7YklJ2kKGiavTjd+9cAnwFROdVfUT4PT37D/LdQeKRAYGh5GUKtylBw1mnmFAMozrZLzlsfRGX4swq6OYSiV0sEkTGJciaLfiOYax2z82MuU8VZhSEOR/qg8GhWvuuaWlN41sviXDsE4ZewZLPsSJPJSwtNT8DKkB4OvNF6YBVBd4i0UupU9ZM1MzR6mz/ama4zPHHCCsmnUMSofUcACdPT2LsDUuwjqzbQQEO6InTfkoADQRFKq46100hVy/mZsusq5F3b3vfmt4b1SPD58k7HI7JMtRPnFpMG+gxhWF1H1yKsLMP4IG0cM5WvTANLjYhL80ZkqPZk5VAFlwL92z6aZhznEadm7mwR+NArXHsrJwcutPCb+d5o87qJQkvZHOHadKLN09I2xsnHp00wFaKUhGheaFqXxtHs3ZDLVB7GfJYqDuZVgJRy2ObalJs4D/JJMVzyUgKsNr4embYxADDRj5+rI+7t9KZwBoLw20bavUeEWoLXpD+uCaFduYHr3X1wmYrD+FL8wTWBtvEBrB6W96f1Jt6PMrCePd0U86wmGm/psm8RMcYEZk2GqX4VaDNa9IvqwBgEFVIsvdXbLl1FjT3ORlno+HrG3HL7NlSJ9QN2CER4WZ+7wie4x2z9alRB1xGXyyS32mJBCaR7gS1jGg4xkdrzZ6UrTaipPORM5+4D4WtywMDSRb/A+Z/as4TpsmZF9c2bH0zgGxh8SIfAAAKZLROC41y6YOfT1MHjgTMfPbQY6ZFvKTBAJmySUrrPFDoGvsSSBwTTglPdI2QbYD0LIlCvNwqbwWJGilEwJzdNuzEAIKVf55wNAPmcorRBuzK6iCQg/Iqm0WN1fPRAM+cTHVb8XXOS0GNrfgraXysm42Zbh4FoYNvsW+Q6vCSQ1AuaAftFG0YqQIaf87/+IdB0axOd/5rhktYZwX80SPudlNj3kNgFz0q+6wI6Te7H6LaH3FaY1hSQ1vDs+XwqIEhA97cr9rrMzOpvPndgGm/d5UaBhfLDN+lx67SPL5sVSkGvdBjgQSanmoMOL07vXG0mKUHlwf+Qll6OzHewa0OQ4DxGwBygODlAIAHdh1GeLfhHKBj34tMcIK4RmLbtN7VTnWnFtmOhODR3Q4jnhhGlOHqPC1AhTAhA7uVzSaAXlGnZW5GdCV9NV2p7yz25fclpm+Pmfyfa2sVXRjm3XQPq0zeT6rEnCmiVFA95/wcYzVmH5HWNvXcC9Mh5KTg1cKDjGt5hXUaRKiO2Wjug+PCTgrdb6kMMG3yuhMxYm5zGANRdnae6Uh1qwkg468kDKEIqBYfMmEskU1dqQFDuls9T/uevS5rxJdJQ69haq57YD9E0InKKhI5SdPZXJziDVXiaHmaSuht2D5/KEgXxrXuo+DRHCoLXKMcUUjLzvlKGl3DyUr2TIpyNqN0Rnh7A1VPrG9hzuqZ2b+3vXSl+PM8nW1+jKbGI4982SxpXpc3f9UpuV84TVMuHK7GSyO2VoxOpnSsUIRQNRjE97PB+pVZ6ZFt+66SfnnrXbWFbnWrFmz4ALPp8OTJ4mRrErvdOZp298kWOgxf6Roz08VDQT5nS4uT86tgQ+hSBwzXOJ01+pbgYYLYxwgF5VO30E0eqnZvxTxqFzwYM8ny5UkxQh86rYVR81lCKO/4QPfRto3cA1NqX+biCRLqixLUiypyXs8Qv3wEttms7TIn4kHrq5oxcwsN3gIVmTXx2bQwCJymH+kZbHZHJMvOCBfUARdKj0+fbJK/dzRQpNJhP5rAdGzTa98H2nebThFmmcEp8b6SVvWkLHwyRj/zpShzuIkjpHJ9LeaFhDObrJd8v3hmiE8uOdaj9BNMD5l7BpuUCilOTStb2A88vmF/InKY5s75YxP2AcDRidPTqRRha8uFsA7FucpRL4FJDVN0+QXMn+vmDIXeIFAMcJDzZDEelXFwOewKTdazUH8/8lzMXF6Abchc2sqHL8mhaT1gSBT/R2YGL9tDIXJLz3Vd1BCVlRMc3I2kQc7NtvHzS7yE5vTcncaIlCatXTA91dCndDn7AEluBmoepzAmBIVRI4rdf/3diTBCRslY0sKrVAF62sP6c3hACj8wg+6AMzmsbxk7z7MbjAagsHjF1K8VsEc162FbjgwOAIpRubnzzV2JWb8SwSiRbycNssdqIaLGDAED3Ng7ExrbU3pC3eY2EQf69GRrKerFtTutFyKbnzUMHwtnY+F/3wqPAT0dTmDeOQj+reVsmO8vOXKMhucO2GUzOtA+XRO9ZlahyzemFJ5P2XQrOkmUew+3F5AVA9D5In1Pw98LQO7kZQrjyjmNAUrcs8qi4UkEcUuwGQSWyt5XDPMnQ2NRhSmGhjgcHj7Edsw4/vcKIfhj8WbfQ1kvKonexkZDj3uoNflxXY5dh8ZgfRaArwXIVlzNGpQoH3L0Lv/yZPup9aX4ZeYAANjMar8W7ibg6DpGeJxbtD8rrzkZY3kDPxVODYhn/A+uZDzTy/xkRoGRWdTT5okb9IqeS73s76nhx8cqGLbOqM9FCxRV2jPnNl+0zAnmmHjLuIWu4KmDHh3g4+Cq0I/80LnLmyq+V6eFU+mm8Ke1SI8xqEwNFNlEdtGE+DVsySBvoP+kspAzTOSFaVHQ+8eHbMFPdoiNabUDZe/BXrwuyGu+aDfengHGVI0YZwrBhURE9PJ7bYWcCOXX3yOHISmyVmQNiqXC4HurOQ9agemEONgd8hPX3OWG11I6MWrrWHJHyJg+bYCgNPzP7SIShB77dsWFhaJ0K16A2DwFVmW8IOdFfkLLHk7nhsgQVAf2hknTQAo9JunY59nZO8SMXVMx9kXYWJE3IB6TfkMLWFpitKCtMjHv2z6e6SgODSoxPCxWAoiJMk9Yk9lY+yyA5YICyVEwSsKFIdciorylyUTFYRLG4MEZvFGwcEQQ0kNlTUXNWQ17NNQi5/WJDEocpD7qBDy2nfYAPeFMAZeeJOFgzT7IIjcoh1CGo3dBcMAo5ZrX91jio/T07Iqv1ryOIzEXmP5ZxZUZO77L6nq3paX6NMbi47dkf3fBGXYNBTMKoh51cBHUbxo+GOe7/nxvs6EeenV5dSk2dEHfBCJr+CTSrQWGURkI5Vw8VctIYfcHWtQzJRzaCFTeRR3Hr1T10e9TNd2/6MoLNNsT5JnjYv4AzgMYRhValJlLMlI2R5UxD5XQM8Qbf5WGXK9B31haeL1zyBBw2IXxB2TP2ZC0A8rXFYguOiERgnYyy6P5IS3IILnZhUmRhbBn7BA08Qmb/XobZO+sZhU2Jw6K1+9eUPqXWu6x0JRq+SDhdYl4sMknqcx5PovlSvhGhwM3yd9/QzpOU+L8CZWBdj9BtFmKt0GBBeJDWd7i4DcGzDJ4TySSPIoCSnH2roJKL4V9K2N4HddDkMd+XJKKMpJwg4aRcFbIgXfNvbsLp/kpk6Cosy6gorrIin8X84v43eEWujfIEDKkYJZuDIMQtKuhWoxNbBUPeCzFC9id6h+3mQI/nUJ8wtaZqRfc+uaWl2tAtdBZBkJ9gwMVIzxvL1D4xDpAr/JjMMm6Mql2lWAW24DJig1YHjm5jc1+NpVfKooDfI5bZRMTNDkAI4YRYWUuSezfoyK4hKmg6D9YmOIX1hxbEt7szGpgpbZs8MH+E14KB+Ykbcy/d18is19+liG6SjOpXUj4FXShxGGawJXy1ZCwNDDQmh25wa9mtRGpFYAnYbE9z193+J/x0GgzK/5OGqZez73X1LX62yt4xOXqFKqQxzvm9iZLXHkIdp2gUbiMXIXBLbgvSg2RrpRA99cHTeC5xoFHntNEaIHahhR2rTTvWYH2sVibV7SEnWIE3XeDt+CmxvLAs3cCV3vncwBxl418ztj2CyFJFRYh3RI3Xvqg6M3iE3ROO6Q+EQ7JrRamuRhKAiJSLVOygpXn+EFEwPtBsTBEL/o9EIttEQeYUU6SoaWxpz0kEzDf3y2WCk0ZvbLkg+VAB7889AJuhqw6uH7zseuENM8OKnGn49FJEYDKy68MS2WP2CGHcYG5cWodidGCAC5Os+i4rgnd5msEcGXrHxc29F/AI+/bMTswzcXtTHhyVI6savnEEHNaj6eYaJLGQdA2cYK5ZFfaA3GXk+xa6shhKKTBHyw+LItxtCl4eJPUEj9N6G7jba293meDWe5BKHdM6dLPo32/mxqw5LQxjDxEV3w+H2BAwBdWGxLwzQc3hhYoIemgLREqTd9+IS1/98sbrtKhVK5JwhAMutkoSKlLRcr0lcAasY3CVi918OdPcmyT9PBMMePKEV3IcxNCAIaZZuJ/CAcL+VJ/ZGHs2zPPQqGTj5coijRxTdtGfJExT2G4xOkp+JcA6x3Xhvmn9ukUa4FJo7mOolDppsXys2unQPj/2R/pgDs9lrIt/WCgKldadjpgVP9Q0eaYQVzoeFCKP+5LbbmtlJs039TM6SVcD3GtZEY3XgdNwvAbEcD8xl1wyj0YBTe0+bamj3S4QPv5H7G6TqBqAENLvOsPu90aY+qW5IrGQCiRMIgLAEvmTZBMtBme5SedIFYUKwJ+21BYYeI2HkXZCZl8hoCA9nY1ddM57SwwcN8MHEyu8itd75wmgZ5KHkQakKe3hIoIWu6ftRoNkEvFnZHmTdB/qkHaIarsOP2eZRtSFVRscVKhq0WyQegOlAyymllH3HePE6RzKv4Zv2VKQ1pjeuCU92CsGVtrmx+n6BJcjfxzmi9KBdbA2HSDkgyC+PCixTJO7PX6TiR9k+pd9d+TEsjusoh6N1lGHTRdYw6P09ajf0hH72spOkAL8CpILQWL/TYvlBqZP3YQ8cz1KpVYlhno+PYDM2AzNjGuEau6zYb6+kJhee1785msPkkAYeholcRjgs/yLdfdxiI94cY4Hez0zk20VHEg7BOIw2Nn3Bg1sb1xxhIp48GVIEGuoObtCP9ou5DmPgkyzw3PORnZDlMa+NWSLr7NdvWRln5e//ih27l0IIOqUjPqMr0cSdpoStepC4O1pV0bHQ66erPFVcM06H27c3Xw2VrfzUECoLoYkMZNaGmn0A+tnunRLyycpJNhaikgo/5WPB0ATJz9UOEFeBfjZCLmjXGJZGDbt6j7AG0rQd3Zb4xFcklXsy7YWdJW2ih5Kh6P9jHzJWzVaCNSKg5WSkf7KFupLO4JVn5OXeznVvn8yh8ZDxgUPmsl/3/zGCD1FeFFSxrztDzWQNHCfcxxH9tc0NdY9bjyXHZaAVd62lh0EsS8BR30Nq5T2d7OQ9dG+2QswZ2Vdk14Hqf0gpoS+XoVzghmn5Uq8ZryVXmBvJrG8WdlkyXsVobrCaNWXkB3ZpYlr3MT+EXxaLYBPqSbqAxT3uV+USyg1/L02OOJDWaurzcZ6z9T5TlLS6mMKBmh5xXNOsCRWwQvmprzdFyJqKqzq6RX7aSosffEuEG+2dO5eSMlME5NvYYbkZZ09a+4AR5MfaX8beJOpwUSTlPI8oGEb6uZqD3BeXdsWf0boESAguC0DyD0/dWHjLWrw8zN/c9f5GoKdMs/RsEXxy6+n/+KEOdKF2/Lf767FZ5cS4q+UjwiDq+9NRGChxKRdb8nDHVGNQgy4xYjs1Leq+iD3Um9GXfRu2ciOzy/lHblf3m9vMb2bVFqPOcLs8o9zD2mdqn4hT4u7y8hjZVKQqZNhzMSdH7T0GDKbaQ57IjrTlN3I19u1TOB3645FWUEQg7FmuxLpMDdXqhWb7grGli7TFJypAhNM3wZBPCERHb2URmn1CCkV+eH8VnVRIw/u32afeOEtMfpq04oiVIs7jJ0KaqB1J4H32VQmWAVGDjAdG4Rktuuyzo6+N8CuzJBnob6pwEfdqH4ui6U2JR6tY7NBjoXpsCvYIwBLLK9JS1uaJF2P4uzA6U5u8rx7f6tiLc75tXHQkxOA4mwFLAluClGxa2u/+mgw8/3xf5B08uNSWEi2bpcKpVnnLxWQyndm0nR82RSwYSLOCyjKSDmmRx8EcCoyNLz9n1X10AgMPuvf6a8dmr4PT1aIzs0fvWE/guGfShCeJwXKZXnc/e0PNQW7GNGRdkMJhwAOeyYxoOcw/1YxiFpuuQzmVWkCUM8NSzl8aKVvcSGmEwcoCu+rF97sXBV6cB1mpFjhIcDZqkPE3q4NVNwuRrq2H6Zxau+xxZ0hm3fxCNejeoJ2kGJmD6KNLEwgICnwDgZfaLvexfsqn1TgZA8vwUkDCatydUOMqujfJSkE1SqvZaGXGh09fnzP1nW3/o6tlxPznuqrkftL6BQMTPoir+VdRSZAuHM2PxK6rek986Gaovd2wIRxRHqAAibiVET3oiXREiuyyA3yWkNQtFTUj6f4nNocQyw3Qqr4wtrC23WLP6PZ/3gURkrY9QNtYmpkn7LANedhRnWoBlXe0XGanBT9dBHZqwBLB8jy5X3EHJUi2ekZM7d64Gx7GZp8nxPf9pHhiUHHaokIJJNlnwPDfaKmgFW9l7DlHqms1ShMUCx3TQhU17IN3Fx6sUzdChFFEL5BMrZTcZWeSztEWkxjsFbkEcw11g8X+Y/n3FavAQv+M8zI0yJ+55DcDseALieKqDClCgge90vPtmFid3d8CQKRwEI0DHmeib0rXUp4MWyrvZeGk43WV8vd607jTPUfJ9xgZYCHYyzj9vllfbTiEJg22f/xR/84oJW88pRzUKLjRtETvLpw6vuWqnUVEcJudSHMt8SRlqDKslEySIJGDGc7sfc6tuijja/1GjWo93cK4Nc2LWRhGH8PJGoDJ3jtv5bO0tqeEcvgLxmiZh4bYoe5Llr9IMKgyuNYAHYcm1F+ryZoZahnQv+HGIDPiRCodMTY8k2VGXyme9Sf/9h97r/UYaLsQDcvtH/SO73UiG3YA0V/fnPaiHOYZtppKzpeVDD37ZjnxYZyaiqG97Ist0XcafCbKszc+IPiWoX0m+CJSBBDjJ2ZiRnRRCsSb0gOdA0tAacaYngV/tKiYwt2f5uoW+tE2Up1nzP3iQIT1++Ky0YISovWkqPIcX72IssNep4enuNBYbBz9G5gNrTBy5caCZ+sYeGgsTcdFvw+Znl2QCGi78DNF/VNS2ROId3MBz7hTmbwtng21/bR+lJzkWVJC9ZVJjTsZgz6/H2pNCcGSAhiu6HYnl0Zve3tAyOJ9rGhDiwjWZXaQ75MVdHZir034Q3lVHZHv//LPP9NHV8XYBxI2YybKCnyGM46CRGLMSIDzU24VXUugn87tO/3WS9iLfP67KaME9my9UEVgo/CbHDt8HPZrmyCNWPneNTyWVc0GkpaNPo8lRYq5PaaPC1BT1KwJyzl3wetj4t5P0gNvZGCqLLjKCdk3u122UiczR+ILAYeHKvfM5ld9zTOJrDVtT1PKtpEbEi2v5Enb7n/qyPqbPv/kwbKUBNWBH6Yw45ld3W9Sr0OpCV7zmlpDx0x3dTJLsbmN62cwOp3wEKNg3imfE2hv22HQOqv4JlKYpgVJaf1FaTiTL+HnVXA7Xavs0v1jZUAlsOPSABtPHrmhZBSHZIfcgihigLx1FjdHW1Fs1hPVaeSjHO+CwjADY9Zkz1Q8+VRmujSVgWCpKjfbF9DUx0ZHeojkjk+b3wOfbzIvOMv530ywr2xY5pai6y/B1/9y7CxciuJlZ+Fhoodg79WXvDzFvVw4YiBXMqtGoscUINimXcbVlPBYscHVdeZ7hzSYY9U13V9oKjnQgIe1cI1IBqEHX27IFWZrkjTQKNNFcAnLyK294w4h/B0vIZPE7ueaYMCPzy7I1wR31QQnRCJOlZ6fHXfemqSN9OgqNifbvUEniSvEwHcSUQw7k0zVxjv+gbpp/LD6IngPSLMagWPJLGFs5mBD/iTcp2DLQBPrGnNjwge0rsWRXSOEFJITynqGOcnTn2f9opeiXeLOv08brRW/NBhr1ND2+UtOVuRRaP+9nZGggoH9sH0GiJ0Xeo91oVzjxY9Y1TyiMuz8+K/52hXl9kKelyXOVHPmQlgwDM2gKMG1V33S7tHQn4iWR0akWge13SmDpWg0T3Au3dR0WXnTRwb82Xlou9vWDhL+mOhY4UpqUhEGZhJQucdyrkAZVowpIE4tqcJ1mQkzwvel+fghGB3zE71SSFJj1VI26Hmvet2OAyHZnxLkUPC0Cb9HpWFsx/Ty89hN54HJqJaU0ts77PDSDgasT1gKwwSdOXVx0eHkMqfgklgkn5vkTHc5aDdSPJY3c2ilDqgIOh+eXDNve8oW87y3zvGvzcF/HaM3Jho/piTHsuwGkFVSazPYtZ1Tchvb9Ul3cA7BKK7MOhW0Hj5s6B6aYozTjbgvU/6vgTTTj/h2lm+ufnd1wfDm5fATCcLOVGdlbkS0e71WF5opJ1Fq7fg8THoxq+TpUDoOGAt+ASnVT9yybe1XEFtty/IFAys6lI67qbd6hB1K0ULbCyLhVjG8Lbc/D4GZFOo5XrVDTmPbJfrtKzcEqZhxo61CeRyJBc6rSSZHIMCyQexYjT9trVA/xXFE/v/6E5WSAizHkge6+QfMfZxFx8jp2dTOyu3nnAT6GdgNmcrrO+0uTM5/rymv2c1EgSDaSwsL8bafkrDAa6W/RSCOjYeudBI9FD67OYW22+dCSs9ObEqquibMo3GG/jk6kb/GACP6JLQVxe3P85Ub0IkW0EVVIi5zXfd5PHGudDJ52hZp5GSRgfGG6SkoXBybbHIo1MwAhHxj8QL/86Fd0ZdqsEoQ1W2JNkTQHcnOl+4kSjtJqckpPZ8N9YuskepM5Ixn1ZDd0YkIkfUKzhSd82qvAh08Utg+2HCyMAZKZGVhrF6CE+vIE8MnbKKNXjeVv9OMabpcZMEiQmPPD2Gs3pY80PIobGZWZyrtM3a2GOk5YklGdGBj6912Cj+5mOsibC5ufzhaNdNJm4Fc9FzpmQETDgci/eCVIyJZ6cfw1qZflDUe4q1UYy365IQBVxRN9HNw/xm1eSSXx3ItvNzSp1PoKS9jTAdMaBx3ASOx4yS8qXH2wa7WAQP/apsAaoz02U8FtuKavI3bnlLP9J+9rmToEJNYf0haHfXUkB5EvQ1yCD5sjSxUBWNStDHl+kUQ7engkiCVL6Yj6YEMqZzapDMW7PeI+mAyc+N3FlPc7Hv9xlwNmjQO50TGUIT2CQ2sf9IvqJvge/36/PUyZNkQp8imss1gby9sFTevTg31f/0GZ+9Nd0Rj+uIph8Wr67onhVpd6h1cgWGplrETweEYSnfnzegLy4m7XWK2OSmY098odR2LkgIQMfDfYM4NKOY+xm8BO90DEDY4x1wtYHs7OyU5ZmqHcsXE9YFPB4rWHgdMdeeLWpm27yO+hxoCTyQQedbE0FBYkmFE7zXlYd8MvVjLhSd+/HB0efk5oxrxkHDkTXX90HtxOWcJjxPjqJ8QEMFJdlKTKCqKyDGFAVceAt1Dhspe9bs5QaLQHqvQcAIUQlIi0xnZCb3Lv4IM4F5omy4fBu2e593YohJvmKRBCVrgcgnmxKD4Jnp1Fw5hOnOC+4WLpixiz94mxx3OXuWzGUaXMEZsCZ451cXuTRLr8CAoF4RpfGXqUXMw+Xe/ayJBXCdMxXhkBapjk9iXBxKr0pFiqdlkRc/CjiGSYHhAVQ5VV+l+InSpLCaYJLND7wGo0cwsC53lJV9ODca98qxzbAt0c9L/lHTAfbc2Vsj4eCD7mtfhxhJiJ5MKx9SLb/kMgCwN0rvdPLgu4ZegG0CsIzafVmlbz9t7HakJ8jEYBbfwRejN/ipyDodO/rgBUq9WFL2FtUj0HqfhAJJokuIx2V+CVIDiQJyfBWFwRGazWyem162Gs9Jjx4AXehJ05xVG+bITVHh2JrvRSGVwFb3iyM3FMIRsLqQOQjY/7WabL0UP4LtlxAEv0KffCz4aZ4RJR5GJY0WQweOtuLT3onvEWgsmz7Cw2pqTD2Pts8hwnMtHuZbezAQXGHUt1FJaLuRJtthUVPR/8clvSBzTEOnLkRrjUhr68zvK8LIb6uycs4BjqnL7GVIoCV7UGwe1IQOtZOTGOggWCv/Vzs+hnh6kfOc4hXThLYKG4Pk1QHcEfWddzydqGloWDGvPzAg19UCF/vqBeUIQZ/NFOuq5/dZyJbe8yTag+Lm77S8/OJtF/TTP01zmoyAkJzVVld8s+o+7HL4ErOZsFraDQSBKqEKMzc2Uz27x+4Plky0MTnoWhDLVt8V4dI0D/mHsNl0F4HuV8y67/dvElqfVlrzOMIZolNjRF6kfv7lfGRKBxgCzW7f4bCYnP3xAHCuRDLDlywbBcYZToapDAVx7rj9x3rPjOdIlvLvdIIh3G457M4kxaLK9lTCmnbRL8JV+KvNisf2RHEnqWTxzFjvETPoDHAeFlaj/ec96UQnFNf7OpFTHlyb5yY1HlpxuBRFSeUtTBzsJ9eRq1GzjVtuRtfU1XxA0FU5eRd5wWz7XjTwfl6Sk3zHqyJo9b3jXLAJF3kkISvkYVSgiNdXWdoEpD9GvuerYNeVg7f47bFQ2b1LCRX9PIRHKysVrDmj5gMejpNs0/6gjuz82ESIQRR2cdecMqy/U4WARdkpia4zMsSL7TzNoq7fZrk/lNuNMbRdk84tL15d9xGwCeFgCFPo/iCvUL+GWs9tf0QmxXXM3VJZvHhEGx97W7fFoJWrFYSq+VVq28mTOskk4GuLN36wbjwK3n8OX3qIn6+WbRFr9l4VcxKhj9lkoYsjhapxIvJM6popkIaPKdNKyiCKUt7ljNI815XLDUhPN/Dbl33xmRHzA2QKT2ey6lLq9Sw9YHN1N++cHc3fUHF2e1DshK4Vlu74aLHXG7Iky0tJMXB6X+cajy0aeuJcuLwVG5TFnrTPyuckbpLEYVKSU6Mgw8Ma1n17PkfY/4U7q0tkhId7kzTYlMs6fk7g8aAn4+2rqJOkbQKawMMG19GomeE32vTFKNIvHrOIs6woslzmrNvK5FzU6jm3QOjrRlBJChmzbCt4kjWd2Icc+Joa/zilscDxleDkP6G6HZLmVa0vibXqUjqQhBxn/QqWQcNrBnqNk8kayr/mIyMOXEONm5hx1jkOm8+SuAJwStN874JZG+x8MvzWfrs9mJrevw2RhdE5AmA4dn5KD7GAUZW0Ceu914YpLMr6ZjpwjBaocIrI1SZYff37/dxjSQMBDWx1uN6DAF4s2aK9hzxRKsjrfOasJS4fGbbwwJcmtyWNKXGi6L+YFSbhcoLuR8CRZBosI+UhNhUbbr9MQadUa09n2KCvs0/UH2oyGMkGAqsm7Nz3WQ2yZ9VMS2NYtZKNuC1gdqvVlJvSdrTFi+DPSCgGiCCcRNDOI5MB/kpAyGgSekaqKFbv/xmNur+lB5CfKNKFyKMQlRPzkw4GQv1mddj8vJdTFABjPFO0emGr/e6hYer3OUjTsD8w8ErtwaXPhm4QQeKOl8UL6aPFSU4nT1PdQfQZefuDrSouLoVwd/kMEjq2LXM/SjOudt03oJoynjh7WeJZ+LZ6CVxqyRd50+nUVavpTm5Ezap7j7SLbVIDQFXobflymatXIzyswywhLtijRWVcHxQNgLyn0KoVG4cS54g8NayLSp7+pgOO4dsxwWtFbzsWPNzu6GNDyBa5Sv95yNSUVkITVhGbgmS3Pndd+gKMAYWJAVLWIKZAiy+G7VJE+thWAtZpkzMPH4I9CDWC8FJtx6gxF/oXzsUy92lEhTvPaqhGO+EpVAxJ7ssSsHppF17q8oGb2NRPUDdMAlLmRadM1znOZjXu+DekexDcZxR7JtxfdeMcR+7PadzFNiecgPdGRcEJiLTUbnUJAOqx2D1ak32RfiCKF0XxUV030dDBJqpT5mjqu9G49Aa2PD9aW1nKHfp4HyW4IZIz1b5lRaOCP3LyXzn26qHlGUO5TB7hYZO7EpC6s0tr4D2/Jtv+k4Y8FpSKcgbmbF/3KdOlvNe9yKK02twVwKcvE91BKPwAXhslS6FWJcuUdm3pUTxi/taAAzJxDu7DcuhmNT7mxvr0/RCUQH1QZqj30EWS3sMm0ey9kmmJPkeV9v8lyR4eFl/DO5o0dFAWdSW9iCflUeKNWrey8Kv7jVoVEGDwzqWJZhjgKGfBKCv3LBggYFVayx9KuncDDCPKsvqq+BMbudLEMGoWdtVJDn2wwCCdo7qR4UP/RE/eFkz+szeps6ihnlMCmwLEoF652YZTZ3s4RQwYmwD6NEG8n2Fd012kRzXE9weSXT9o6JLhFIBNPIT/48HDiEQTL12AiMl+GkPrEoudBXpIaYAj4kQwQHSqbMA0QUYrDe0UauWUZd3iPJtU+rcy1Imx1APDFx0ucQ4IFytMIuGHnI11vZ3wCCFulx62seSBiOUmqfTblXidQZUeONAbMyNtuYuuJPxIouuMIdqAqQiL9VvkP/GnGg1dmudOosCHK0JH90ggeWbkSz9mrn8s55z/Pa65D/isl/gaY/ya1CpH/NwQwLnUn2ppwaWjdbjcrdD4VfGmuZBTSyuwDvRmRfvVorbmqqXxfmxYS2olXz6rcyVr694xK+kxBJM5799QGueemy8XpKkN+TSQawi9w72HABeheEptjFxgTT4MqYybmQnFIXzV/VB14I2tRjJPGqfZs/4/fR5cgqvHr1Oo1fEvJMJc3pHAe45YXy6bqWwjeL5lhScOjzGtU2iLpUkI0OfwdSy1X3cDJo58/Mjs+ueYivervmFYrpYoDVkETOzWZKy45IcAkZE+3VB3hRbaHUBt9H21Tys6taCmvKxogP6pLNtfPophCl0FCqBKcRq2IjwFd/W38JjyyH/WhgFosWXXnShBZogxfNEs62lac3aUodAtySYhUACP6K8NC1lB1kdTZ9/ys4ZhpUhP6g2MC+EclurBfN6hJAv6XAo4urLPC1VbrTJNWFWnHXhSyBZdSYYGIzXrNA5IQq5CPMKW6tghNsdF4kcM9gb64Yx8zBxnjdJZIYJ2diJR1fdMGqFfIyei0brzxmR4lGJMsJTbyXS6IzSvRM4+2e+QdZH9XFXUvqapbc/R38VwiWaSlC9WzcsEkw22U63m+l+6mepsv17Ef4uJkjllK9MIa2pEMFnckVbJMoTzzPHgFgdfaz+RF1lfj2fS6hXO277sATF01fLLgZh0HARsGGdOj4RyN6inJEXVNxcz44KjQ95HYyzPMGmK+nk8HvIYgZ1RlA7DKcWLuM2NAgaiLP7cjK0DCh8o/ae+Ro8RPineJqA46umnuOJ4RRtamb4Jnp1XnY6PThTw03pxoH8mYw6npVjWt6caAVMoJW9hGkM4zVSXYNJ6jb/BG6PaXHPMt2AkSBIeXtPO8hA3IvHzgeUwmeDRY1Azqi6lIWrjhx1CY2dX1J4kHWe5Kep7iqMVufIoGj5j3J9Ldob/WnCQzB1odxSaK1bOR8T1RiMEaMx7SFrxV3UoioFkcGyX1eXUfS2UrLO0KpgvQ0vtbapNu5zu1XRgvjeGkSO4Y4CcYv+J3Nk3J8ilaMOCLuJoj+1GuAjs/9A+reVFVqP9MvZ5TcQJx5sA9edgAJCQXkbWoi6O6YJWvXD2wyW40LvdB6ze5/9ZJowUuuW65YxQILnyLEX/jufvRAvpbu0UEGlO333syKWt6swyNT1U0M6pQ2+geVmOqE2PutrzTDlQXHW2ut5LIermjx2IjOkD1I7oNKZY+AkHcS1w+OTkagDQxCFiS7VQcE/Lp36ccKErNYV+3JBbqUa+zAp+Yb4rZti2vMsLsKfcHNNODyRUhHdvf6LMid8MqwWomyQDa7pIIMlAKK5y20JPmvKIekhqlYH3+NlABeKVPwtwmG5kdOFJIR4ch0wR2dsNQsg+z7zBLsqYH+lZl1p6p7S+TbdhGsieDn7aocFdKnOGXEEs3xnI18DYYzIQtMBEWtUudsi9DRRIjHREmJS0h2BdveoVOg7JiiSzntZnFLwa/OY2hI9pKiHs9PLgxyzfJ/P7W1HPwfyAOHAt/kLVITcnmNKJnlPVC3oqZEXzxtDGLMfKp73ylFxp2zF2r24A7Rr6Kz2caoXMVkZFNVb3MT0prs/P2pztMh7/CK18m4zcLg4ysR2+GuNlcyv34ORqSJpf6efId/JCkN5WtPT1IjzpyZftJOae6IhHRxvXuQbSKzQMgePS1ULB7SVY8UxwoK6BwRwqxIElwG+chtNLcwZ8Hi/H5SB8idTlp1NGE9us1CVnkJQ100tId/decjAlQLCUdo94UV6TaYP0fApz3bzOlAkoWi+4iSJnaa4vANVjnAZ+d+BYV5xkTe3AByQ8alNpFr+76yxIzZT7ezij/8g067dF5Ks/lGBgZjaMhklu4zKguVRUd75jq+br6kfd+G7Q7MjZkH12jxIdOhxQyG76yeKd3tyHwUJZsA9zyB5azWe1Y6kOMizIyiZ08gVtiNKmkMOsmAidWUR7Mh5KPFIgRzQ3XdDLFmnx4DoRh2CR4I4h84Dg2naoQaC8eolxLf7VotB9OtRLdzD0mwzNx/8gq318icl1lJh3gbfiPTeGRfggyNyx9WhOJhcsGqzMPrf1hqlBe0T1HBg/z7838qxg0UWC9oIJHHjWf8aBiENIltp5dFVaWzDb/hZeo0rdVCSvSXXjlQth2IHHU4LcXNzh3LAc1T1TIAsgztpaF+ZyPWY5D8P0U6PLS3JdRClkSOHxXECAhbM7ff6PoyyQAgCIZfwSjs5AAcuxZv7BOwVKfEEsVaOmkA+ah+3ZB8xrXMVqipOydqWH1MY1pEQ2ZKprPdLZQPfoZFkmwuQNEkDnrlntlSbC/k7lpFIVKAvczOTSktURJx0YGO91KICe9hWPtdsCnbRtMrRr7O70y3MllFA2onvpS3fqiDVANqyVqMrU+olBh9f0SCdix2DYmQnexHqQFt4JUvYDt7EZvyJJf37Ww54/Uf45ltKwrzN2IO7/3rJmq2WWqWRsPYnOfAFf+jBhlUSl+akcYUqlE5lJrdL7YdNPRrp556iMpdFpUzL+LPZjdmHiN0F8p97hhEGRVCPnR3zj1XCgAQj3Gz51vkmNXChmNDKDafEEwI4lHiQzFwNlFMcB/0a6lQtMjMhqYvWvjGJF0UjH6HeFF8QczfAx+5VmYM0IXI6rpWMsAwMezaxZiPv99FTVWActY53ASpMLJi27qDwQykIWUzSm7sAZ4CPZdsz8/IVXXMdl8gDG6BzkY8By50TxKE+6kOZ+XW3xynnm5RM2/O2bZCqXekfErbSie0VUSjN8YF9X2R0OS9YVZb9JTNsz74T2eGYYPCdSR2I5M1HBnGFyYyubSSb+qMsKYj+demqJoghQua9VxxbpV0KuIKE5TuurZZKgSrz3J123TZqPkW6TMW/BILy8oigGsMQMxO1/ZVXbn5UJ7TSMfMrp7/so4Ef1PzWuvl9f7XKxfrilLwxEFIII5i7+mXGP6NByZxP6DpznMDGvkfI6CXobR+JDUo6KIFW88PKPI/P2DwH20dELMFn3Ikw59bIHrLOw6c+ctD5ORwYD1wcJ2K+r9XaqKYpqGY997GMf32X2LCsYOqoEFwdINQ/wPp6CUX/OVKwqHZEFi9BxUaIKMqce9cQrLJz6VF84yjdHaQExPihD74WyjKcLs1oPJ0ajmOj76WGaHbdT8bUzDnDSDOdYgTt6mGzw09hoXbGbkZ7n2RTn/4c2CmQ6vmAfcaC0L4C7WpdfkbA/4VCU6PUKwu821xnh5ti5xEwI99Q8M3ryRFFbcRMcf3AxYUh+muEuncuSn2wkkBz/N7PEI31vVrNuj98wjJ4ZUZOFc9Vj7xd2xRUNiwnpdq+HUDFgeRJuFm0DHj+8uooyWatW3He3KYeEVqlCL17OMVkK7n2cJbi7l5xrC7OMzPE7K8Pf67E9b8rI61rSNh+Hw4UtrCppRdN6zTliOCHYoKmTFaxJ+qoB+9l9qBVP9FjYxWojUsMfu3j0ACcuPftkqocS2XC30jp8sg+Oni0SPFXkA1IDCLqY4TlrDLeEj6nbUL/eapEnMSaFYAYKuLi+x6osJYA3vxrJpx0MMRIHl4TIIzNhXDa1zrWdkhHPLLzTkFuy936MGZzGqZ8qIJIgxZ8bBRw4TfeB3pC0ghKHuTnQLlJNALJURJXkUemLhH32hn+giBZDhpDfC2spjRwee4TqHSFsr4HaeSwKXzYYTl+AjD9weFgDQX+Ix26A9GsYIOpwLXgAVXLmFV8iauy5NzxunGyHbEqeJaAMsNbRZ4ooWGRl4Xxhu+xvcGqRFG0+JQ10SNRABN3oEYoIdvp4bWBrS0iex60M2ttXW4mZPe4tiHWht6x9uSf2AvsAYWWiA5HndDa+Z0ScE2MJMksmdOowVsUMWfQGdzchjxDjsY0RdjXFeEEX21J9eaIivmWJ+y3AzFT1CfXAwNcriXizTpJoFf8fbGmCvkHDh5hNUtutLRH5RxIShSAHKMC/TlLG2WGZ/FZi6OzjuJ58u4Fcz0qF7lgVKmAXtqaDQosITe8FSwd/Ia25aVMXG64LcmAFzAuR1sQe2LAyOBDaUFpSG8AWwQ1hGWdBwXOjIVKPQN74kRmyd2VFWiU9qzN+OTKuS13BVt5jBTBRWnXu762DpesmJgMmjIRV4hsZUUDzBZXpK1NZKNdF3c/e1QKgtae8fGMf0FOzhB7sbKYfqkC/ztev/phRZVd/freHyrNTMoueTXRPjZNjBvS6hcUpDJMPRCmdww42vu8sC8ten4c3Kj/D+L953p7ba+Ir8Da/id2RA+hbyfrS6+DQ5whIvMhR4toyA6m5yYFB/mxzOxXEgFJiyaeXUWPJbKE0knepl1L2mjrpgCtC6NV7Y10okNQ4euZDjIbdsdqVAlAcyHyAVjTVb+do3vlaa0wuhQFo6Yqt2CmGyLNHYm7GWrGYJ7+StUkFYEhjZRk58yHl27Jk6ZVbBRE+Uv4pgN2mciGk6Vc7u8xNL78E770tCNgwmw0UomELRg72q4YhAnRWrn6LjvqtgKp3IA1yyDbiv1CZPiHNypvSyDqaUZR2h/eMxMN3xZKjoGDppfQt9ipGGngCzCnZW1i+0xArAWpI1zbAI5I2QQ24dbeCwaMPgU2n4z2xI6fktqSBmEe4EWgXY2Yh9/7/yd3uwJCYyVz5qy1LvlzOKtCXifoamydOkXG0wj3vFyrAxWxWoh/kM+BW8XWuVrEoS9VEB1svf2FyFQDv+/Kpf4I4haf0CzjoHC/DaoM8XCyl3JYNUPYT+X1K2VstbX+rSdTdppyd+HhZ2sDAWvxfGl/tIPX5ft3thlx1m+nYMSIWY4mAFMrSu6Y0z8zTJ+oUJQwOormxNGDq1tf1sOKveLuTlBMdHn5v1fa1t/G1GYvEHydOrJMZLIPkvFTEDakFqLbliAa/l5xraVGko3z+KN3StK+o4eznRabZQHaZHuNrVHcV4yPYVsrHzFBBxe/rvoiewJA+cyPVk0fjbx78vrcztQnDSYfDXxR33sVGMF5hWr6htnwakPzlU0t0u/96zs9tgAAhBxCO7GT0K6mNuUyDYOQzlq00bZE/zPkVm/zsg6ziQeVfc5dFDRr7LQKIQWUYYyyHpda+QE7fTNfvjgIZ+gGdrzZ3AeRhuHED75rJqNtoFC3a8LBBOzRkEXIjgzhi84AQU6WnSkVD68LajUm/zMIQfGyRiJgk1oFwxHyPpKx5lr52TtnKfEj8r+YzcuEqJ2wUhz9tfskm5I0SUky26DuvlBQGafJtxuEm9AV83+l2Fd3okFDmBXdj7JieQ8jUvteV6K/omkxP1L9NweDh+8lYNIu5VYz7f9mMwbZVGgSEop6sreP15mLVcezbLb10HQdxzXwHwOp39mU6/UxE66AXKm8uAxvuWe2UJeRE313+sIP/tozzJQV0jF1H0IF9+fehYgAACA7AxuVaCkpyVGtOfe2A0uM44N5Hj8UZypShAjexfA9l3l8r7dzLkhcqff8xbMOrL32aWHgnsTaFSGnztyg0ZgcDY81vNa8EOCEkGumGU83yVPsTKf1mRxMy+qNKEI4NPkMYY0PUYWIhax8dlACBsZgwBIohqTrVP3sIn3Lt12I8dflFTY/zg30BYrxvOQ1Sq7CY3xbwSVv4lNiYFBrn2rDQFjqQtCC3t3l58WTc8zTgOhMut1CUdCewys1sxCGlUHF14k0hcbPP83iTV5C3SnUfFs19IsSOeA/66sehdd4zyRrBNaMmh686mmbMmv+3H1jhFti1zdiE++DSIbsSPjpUK6bANP9iAxz4GgxAkxORxkazlZWdZlfpV96HilmZcbYOxFg/N349OBFUuyaXkrp9rOUviljzF18yWYwWLcioDA/ddUvZExxLh3k8bQmjslm3tTxdxQ0+dXHpJsxFMtoqrZ4KkZEm7pFKWhT+9TZlyeo7wIcYKQ9v0fx8XDG7HyKebKAIU3ImyXr0ImaAQfeIo4KWptJbkWGn0CdiAfYHA/hJXBaW8Zb4M5P0GVinVyFk5VW+RWF0KJFvEUWvXNAPhn9UWnuamb356ii3FO744X7JTFBNVZFFjICFaLGMwhJIeZ/25YrIb3FwtPKVD05Y96OBj4Synr8ep6e8xPSa8kTmNjaAI9KVZ/DSf6YAk+8bAtfqA62dPptTLO/VjmXDjngMkqxE8mH+R15+WnliUcoZNQ5+MO/pdEVZtv9egqVfLsmOv6KHE351BY8NsIV58zq9AQmIY001ZoXAa3j/Uq3/fCH255/rN+NwlfhPy3q6zZCn1HkJA3JXQ+4t8gB1uC6b0JhvRZFKf85w/03R9dkflK+3ege+FoFLSXMKHMmnvYIKTXRAXcQgK0W0clMO2r8xiK8hV2plauF84OK0UaaSmVncKA7uh5FalWwnyNbKFQAptTehSuluCkGecIE6Z7/4i2MVJVUJAn56giERtEvGeNRK+4zI8glmzKM64DsHPxdkXLSA0uTOhTSusiP33p3z0hNv4GnvLyX5hoKrfXxpHoH4Rr5YFao/3aCbjGXeXkXi/nWYrikIW5AhFCQKK0Bg9X1SCCjtW/va3BHStfttVeJfRh73k73pfLNIm61TQ4Dq/0or4W9zPS303d4w+FlPKdEmBG46uKjc++2X/xNY9GsEMq5aPsROg2surEPLX8xfT5IKSSXhU3Ck/gYVRPIwEEE3XMKxqA2kbHJcbqcOuVSECUdONNrH7Do8M8qRjsSJgwwMWBA3spXBdNh6LBaPCoHUY5zMnAUhQKRQJmay0Qo7jcqMuXGjzR+chmTrT5qVT363e7siO6zd+dvfNXPeoTqJYfV9FLazLvXYJpgWMGaQy6fhu2YPjY5z8nb9gZJ/BTzgqMoF5a8CpzqlABe6lW38UaOZ7sFGHaCS/Nz/ev62rwcXEq0JnesFdmgwu+Oo9gXSJmqi5i0nO3Om0+v8U9HfkF60J3yrNHqOM+5jU2TNtooda9iKZWbXL2LUt19jx1XgUo6OQC0NbxiseIdMMrpNqa+wOyPtAdKMHuhZnGUB7R/Uq5Biuvp86Cb8q3uONpM6gH7kBPyw3NkjN2OV5OLKyCL6/4riDkIxFDlTm5urOnPI3cbzvTL5EwEF8hQML4m+9P4PPd71vUDuUAduggEDGnoSXccn526C5gjdN8bDSbD65JnJYVJL6xKuDlMsDJtbU1ID/DThjYdzec6NB5G0goBKfcaI2XQ86ilDe7Y+AHFzLR1SiPr/Ab3Far2ysURkP2Sp8wxgP+9PWW63KP20Mlq0OnvG3I76qiGOmg0R6p8+RtdVItwt9++C6kVlsLnarr5JfIVNyKo53fYhMyQMXQ9UvGS7trogBQsDd3jyWLNCa9D/mIRwKuKHYngBvKEocc/IfamQro6zH38hzupOJrUKDxd87sG6kZaHBLZCKEe798tNdul1YayTT5EezOjjirJ3wi5wfzXd3DNt4HUY5ymV8f1J3hMLlpfGwsmODgC1F+HV8bQT3YNNMeeMkh7mYRFVOccPo56PQ39y9dUS/9ZQFD8NdLgGH9oc7tKxtHuLY8Y9PoggGsRrwmsGMtQXx0uPa4b+allSCEuLhCZ0dFnieFI3O4wmzFqgYRbu8MXP22864lD/KnR5FlFqrpo8EXuzGRTl9wAzDRLRVCEo+vfiOuM1GZW3A2/CaekEm2wWhNr2gJKoT30wRaxmnfe3w4/p2ubrSB9I231iGzv5fMQ+sYrHlUzk86mFoTJlVn3qAlaBObdN43kRMbcTYdI5ZY/cLbKvCb5F1YfUNmPm2JJ94REDejEyH6+W5O6vBT29IaB4TrrMW7hT533D3prJepscTcdQlA0caCkwl8atYI4CrZ9UjlSyj8a74LCWQqVBKqlB/dou7TCc68h8oYApzZlPio6RNWOhTEFrtMmITBXAMUNQoN7Ey16VwISzT58fkYECflKgMqaxr+9LMk7bZ1b++V3K8LB6VsoOOv4NwndM81d820A8wK+MTaTkXJ4PNR1B0m5tcG5vrEennj8nEQPw9UAxLSf2W1vVSiOp7+TsQXoMX378l2+cdV6s1D7JVoFEAbnUJ9c6tCcsOVzttaTbB8B/xV5155X6vk1K8QulpPidawhNnaS8TyD5Cv9MQdj6uRi1xksdeCIADboQY1a0f4UIQOax1WW0t/qxjyDOxZbMA26GFBA4wK696Z6Z29LW+cwF9SwYs4vAYwQZZ66rNACosDnzweCghU3SMvgA7D73FLG+M9ldDnr9fvM3DsxHCAoWfr/JM3ugSEkN7LLVU1lDEhZSsIYBXCzCtjiQkKinTJsVkZJMkfSmdV9jRtn+98/jepXZOLjrrt70hDGGR5HD/V8bfwAHNJPwhMDkfVSeXXz9FWg2lQevs9neCxtPv3oHQnuQ6aj1gkS0C5VsomqwDQ/oJEegrHyK3T1KupbjAuANogeu04IZeMIWYtxTYn5DOigMQAt/nPHe5Kt4JgC7Uka4OCS/xz7ZivZElzE66bDkEoxH5w/2np9AL800F0Yg2WYykQnClhTj8TbtO2zfGyq27QjNYH3KvEN3nadde6YDG0B300MM1hajKtaQY1yz0sszjIgh2kktpcZL0/XyhmCmzDMkL+KQk+6ugZInl9TY/EnqbJNFHR+n3C7yUTVoAYsxBQiT8ZtA+DOCFDgzJJ4swEiEv4Bd3nQfgVtRKO7Lk9xqAhOq9OacotD87odY70b1n8Wgw2ppCalnJkCxejbtno3s9/VA2fk4iVJuE2RO1JwsQpLigSt1NHilLPdqKiRnWRR++Q6ZTvlwbUPhEtaR7TlPalMgYgZ/Jo/G4aFGtUlmwc5RbmvpeqGhZQYn7YzVYQAswmAx54vexMauCYPme1wYO0aWT1/IB7StxnErpKx40Z5jCk1Qc7aWvcbq055WMXtQQNmdquUvxj/mOGrpMYaYFs1+wL56PIqBBPJyecjneIlazAn5mY5D4fwT4ij6V4sxC9Zj8dRGbrk7uhAAAJmVhaQ97S9XjTjx/J7C7mtBB7iFypbWA4eqGNAAVXhJu/1cPiItt3XNwpiCnK9el9WwzCm4+1OOifXUGJLVgLC/XN3psjUR/2wJ+Kt4F8NXpE+rPqRFwDvae4J9E7+lw/h7btYobRD03XFpvguze5XvmfOIyhnAvrU4IlOFBi47yqIeL6+qb5heRlaIb/KUMfx2cdlMGi7I584S1j/8mrW+lQ/Y2xOhqVaSW9U+ahzUdzYvb5WNiXBnot51POe246Tz0C5PGIJ1rNN7HbjpbzNAHmlf/fwHc2UAk4enr6zDrIa2r7rnzBiUJ+0/y0DmlIsdDTee9PhU5di3p8gIwbvdLPjI8ym0LWC6DdOAUcVBJ87jtchUhSEhyhq3qeBXajiiUg2DSPu3ta0Q4x/5L8icuW4XC9cq3FbF3QhcT5eU2RVdFmqd6yC0LAZUBzvH2JdHuMhLPIrlfxFUVBNjzIv6TrjfLCKJoZFG78y1d1H+lhCLvz0GEfs04C/9teY8tRR0PEHBlMd4a/bYD2CvegaKRcZzsnZ6p60JzErb/WjyhnbJSqmu6xpf0sVGfDitmb+iEYlnpyE38oCd6nCn+G686qeWrt7DEyJIyCX5yYulV4+8V6cByuwPG+ApnhEAlWvo2qr/aK6Mvpaeh7pkrch4dHLpRv28CZQFKxsqH54Z7cwQMs/ysWpYtCETH/Qziws/itCGzFjDErMvfhsp707jhQE349WN6EFYXXOWRbXLi40KyeCsUKx777JNRxkuNHulaFtaGTcDN2hKtJecHmGz3FhpicFcaK6zU5cN9qnkV84IzJXMxikKYx4z7hkMO+19f6siuWIKlAtkbur9kaUaj3cSZXHzBmAifELU1vnv8G2VBURD8hUXOJFqw14uVQ/iqcNXv0halEBMLcudQWILI5ihTc5CfnG6kmb2O+Z6XY5K6tBhqbPCOyzbqGPEXeD1n0eRdTe5BGKYRE5L6nWcX+o5rOE8z/17sV6TiRU7rRd2hAeeKr56xi6ec72eGy5Ghrx8MjngN19c+4OfqcFRMbEODKn1sgYYK6x4Qd5C0vRp+qGm2e3YzjXP2O+ztAVjaKeIWHikgda8b3zEZBcW90bIoOQc8o1igJ0ZfXEYkm5yvAk3gfxPK15VgnWtvGJ0O5Vo2f+7HMOaqjZZErqrwsYSpH1P9imST5MvE9cVMy6/jrytTi2R2lvY9Ab+CWikVVzAIb8cftBea6TAu/1VgD5cupsQULrBcdLUsnJg+RDrfLQGsIJDEuryOz4jCP+gRvTRBewqz7jmggsjIKzPM7I19yS7Vq+yi3+7SrfBreKSADYoi/IF7KtyhMWSNeVP/zTDz65WtbbRMrPig/nWSB7sMsdVWnn0bfrC1mFrIoBQIILbdYt//tdMJd2214eDAjc6G3uJLHzoB0nqakPJWN3yQy60vNJZBCFzzkfHM1ewk7bq3I5nVjxSelpWfu6nC8Ley1p8EmdhdMZGoj3/cocEJr85oXc8SoqSXzOmJReqaEx9QzKZfZXfgqSTXg0Tf08Fg7/MJpZY0s6KRysi/Rxh0k0Ec/6psSM/eiNb8UXAh3bh64gohf6iOuj/JgRsZpfY1jOVNkHKtizD4+mrAUhmOZzWjpyLybWZYHxl5uqWfNQKfVFcVE1fdoii9GQi4WZqV52zUCYlmjgrscKw6JNvaGsXDdOQHl+89y52yeOLmg0cgjH/2JBrhDcKBuHhl4d64HXuOrMBMwlZmBy+/f6N1sZ/8ow26s6iSNUaUmpaa7CUcA6frgGB4oOQ8J/FtMsM6EErXYgQiEZkPthaN0DPAm2/Xn69S6o2RsmSFIlWUVnTZHED3vzPBr3m1a+rR2zdkMJ+RkUeCyOhUQo3yJz1gz4Z83FG4ywTl6nozrBzEKFAC5SbIPeq2wTcyFqgFNFIU3tpMOrxk4dttWkXjcalan2XZNkmM6ad3hNH9vTOm9taOQA2n5kRGtroiSRz7JvoDXvfaEzt1jLyDBYqP18pUoj462TRCgT9HdnQuDY0wc9fm/nqPPyvPBCsOR4PEB9obmCCrTY4n9LP08aVU728WXQe8eNGrkkw4AiNDWJeNnNfC3LFwLmUvp73J66FHEmPx1C0pnUjOtKJn77DxKFmlMtc9R9LmxtklNo6HmRP7Xa97Ns8kJQ4LFHGmK/saWfncHmZIqn+MfBdg3hlEDYwRNiMHZAjXYZNAC1Bz3IXNhUFR3WlNaelpxgmgg6M9nVDAENgwrtzCwwnlUzYroTXMwTvLNjHLnBBZqvm3Nm+DiYhnBwa1bWVW5j+cHQ7AfL6NjbJus+Cf9h3uoUJAVZYNGT77mfwern3crJlXSm0HxI/itbsDEAAmq0NE4HKHIkTWwwk2cqsU74WSxILimdo4G3gvC8q5hXWHquy0QIr0LaxxGE+DVJJkF90yU44X4HO5uMzEIUMm6qW+eCaetOrZjqGyFGsINnnWAFXRPwjrdExTGZKysZFdrFZ5HEDo2NqujHY3lxfzZT+1BZDBNDFhIXGIgrh039b0TOPacFqdvYEefKZwji/BoDMzDkWkAGJK+mN7ftLCKXFBWERBD+IcOrLDCa5J4THWyM+AS5GE7G/JH0cg8hbKboIilpNwwBBvixLxnjf3cVugA0Ig1fIcQy2TJ2oNrifFOe39lB7YTZRROMGZUuVoC0LR160ht04tJpMHtd4hcC76IO2hC8QJFPutZtLjhzeEaMKqHssL+k3fC2sXU71vOgjXc4JNMdyKw6pakQ+81iSteeuFJUkRFNAw4mywUCJOC78kJGE83ntxXVtwxu3wg91kJkehlnd/+BzIO64KgW7fBZjHPQDq+e3Qym2+iD8GIlUm/z0x0wUGg6f/L0tBDbwH2gfL+WOwpGY85mazWwEudM8a03Ih/c1c9NhtRLpP58LKtDNkpriFJrOOeTqUZGVef3goqUPeXJ6gRDL9BxU1bsToobOSVqhccFLRNAA2l9xuPOzUGH56KkiJl0F6C54//HFeKrD2XSF9QhRtqQEcqoWmz6j59xhfQbhScQPvsOT4HgCNyJR/Z17FwB5RARfASaTbfiZf3WVVrd5MrDiXOib71VXPjpwsf39q4svuv9DudCSD2uv8IMRZLLfCNMFyoLz90z8mCOhwbcxZcgYy0tnrEiDI175ZLjP1dJBzs+ZRbVK/RPhpwpUUuWi32/dzupgfGlKiRaYirGNjqH0KJimKG/aBi1QIDoKLj9Ijg5pWAEC1kDYiuUrg0xvbz62K47fE8xiSKqsDgiySSKER+zRTesBzPS4lritMueKw3k+FO9TgkAH8oY7hmpFgHEUMX7YGHt+tgHdq4NazQTsW8gfBL4q4JgChndQANeEPMk85mM46jDo2nk6HtLw/dmpR+zeEm9kkaEsNCBG3J6eAADON2XxMQRDfVsgJygJQk25Yvo7jD3Lm+Op+7rLY/kfEfzZ73C3YrJAnO60GYSeFWcKGaVqG6MPut/Rz2lctAVOudlrX/k8zTraL/C65vnqKNDusryvAAAFlYSZdv9+mDUVnjvS8pTh3UoIn28bwIZd08BVseZocSeOE+3ZzfakZ4EF7Q5LT05M6+3zSn4rUsVsFPQ6I920mtpQu1WT0rqcMHGYZO0HRQYeWUNC8tLBXHxOJmmWyZaBr5Gvm7kxTAeOPm7/Q87ak362vSEEzwmGV7PTIDiQHWxQP/vAIVw4bUhWMJjq+vgajYkRJAFJU0bcGcNoh48SkEtYfwWLOntg/jIY3Chw1/LU1R6oa8eipQ2DaOO+DlC9TG8ofBLGoquNj/WXYDCLjdc3lJqkznS+IXyzQWpMuGQ/3wRo/qjx1BpDUni3Pbk9v23LRMzRPOd4JSeMtJFIv4Teru9BAhUfZvD1Setbfwr7VvwewsJtpNCSZt/CMOQicNgmVsZPmcDuOh3P3fso8BqPTwLzVMDIiQJAdBcJBQLUX3VZ7MnPBAeKEryf5xeF40vY3WxgiYpy6osYWBkEUoWV66PGlJuduFuGPM7koLbw8kDrcuJzT4/J81a3Fxk56vsyI8q783R1l6sCZ/RrRx0BZMrtVk7E50fWDuJck8n8/gJpQ1SI8Bv/uN+EW3yj/CHnMcm9xpAZAjzkmT5sDKmMG/bwFU2wD7hY2dWtzclePJEuTo6259lAwRdlYxiiJJec1RkWw7bs8+qFkreLJI63LqJJ2saLwQ5e7Blnq2jFY4GSXBQB1QiBTgsf67MHfRjSJEXUYl1MtEs7jH9g0mbD4ibJfT4eS3R2xzD4U9FE3Wh2tvTlxjs/MZVDpS96waUEi6F49aovMutP0JXxD0f8bdw6oc3WVmZeMm+tt7lpv560iuxy/WePN06G+SxiZzIXvbDmCbMbDBqmjNABjVyYP5Bom7MONg6h5b60pcRLqC2u9FLQwjQVPevvl3/5IulK9iR7mQFHf8XxzTaWRLZipOTCCm6YQ+VLI1OmK8QGQSPFyAaZuCqbcZMtDOEFsyULeyCzwLKE0TQH3opzalHRMmn6MJICWeXgJurg90uyARV0qMlkasFBCm/EAVJ/ilr8Yo4OTFbdWZmdn85uL1pXXjbzv7yqACZu9K0joetaVLm7ZdihxCxLDBhRwao1Y1odMjkf0xrJ9b9MX9rMdM6V0+/uKuwFpr0/ArTezK/92JXzu6KQP9iOVpd5T7eSaDwN31e6UPzNJv3wIDo2lIPX3mpn0i29fbNfMleVrmKOAzMBeRxwuEulftwqnrUS1JY0nO7TfgrImp/y0BtEYqqsgrxnAKY2AAvsk5SFWtCrnwP1nH1WanIBCE5EsZQd8NS/cpuHZIqdcGS2nf4t4SkaFcH2wDBg7GPpDBKtgViKM4Jh2bc0OIiUdRlIap5oxl9xJoW9CBfeIlMmtVDP4UU1jI5GKvpO86omXbK9vFSiqu2w88YANC54WgLCB/Hm8yMj1eUUVKmyEqA5/O4IYHAQn3ZItmGBbkwyGvqfWHSuHijqU4rownfEojxC8VZpoJOjRJRCKRyDUgA+Qp1/HjWfzIa3Subq9aOgjNyUOg0omVXW7t+HtlVmkLNx/LkIxudHF0MDkHSLrDuQ8fj/gTwb+RV0YaILCNcRtBoqeeYKq19sF1OmHsiLt9Nwybi1G6rlQfuCEd6il4pdkaIpTrpPnDrMDn1fjSvrKCnFIyS/97CXVIl9JHwwq74qISOYkrQ23Z9f5VUXr/BzTgeFqCmhiSinEDaBb1oJJdftWB97bHBz+UlEhJ4M7HR6wpB6xP8ZNCd/cI3ZRgExUcThovKxeBe5frTfhHu0491kUVDg7ZMWEKZPCwjYd7NgSMAJlRskTeABMDmQqUItpK4l4m6c6qzSpaUCrLasu+h2YNxl4vTIGGvHRPew2n73GJVvsEw5wd148wWklX6mOlmoQC+xJCHQAd8ng18w8UVpTCSwexdjePoyDZ0h3IkvMOdDni9z5/9ozay64iFY8/asnl2elX8W26FbSWyhAHJYDH9rj2bRvQGTBr3Yz4tDCzIGKt+GiRbUVRbam3f2+VuI4sGyeK/r7XwCefEqDlClVijkXsTSxN831P7a6DkqQnCyg01eO0PL2mtsPnxI4gaIYt2+7TNLTQAH1B8F0JtagX4gfM7uaSnw5lUY05hOD6qpncPXrnEjmZwUpkj765o8BwTQu4jykkHlQlY3mFsh+jINSL7cFMuFfbMyPpDk+K7CsWcF7ymACWXwCIfP6ny+nfSlfYBhGuxRVNaYafwpApNmlD26/GkLWPxWQ/bMh1rr9XqvHkXwo3OF4S+MSqXAISY8BS5VLCLMaEpRWFyH4iGHu18NOQGFU05ZsbT6x4aAAJnhCY3V7hqEtxhxXw32RuK2USu075fRKQ3ZTWmelS0h2q5iRPIn+kJjrV8RWXzLUY9ktg2OwaVCt9z2n0JpM30E+n7tTvLBtWYr//AfnBBoDXGiCb0I5rZMxK8RN/Xu6v0KfKrccCeUq9IZoqj7MzLcEvg1WxLyE6UvbSKktFXsk8WJ+9smXZAU5Pdxnt3VTjkvuyrNPM4f4oesn54QeZPnzjES42ACZe3CQh+tRt4WXsVHc6P59h/9bMQKsvEAztlRKcyCFzVRSDko4Hd6lh4BwRFohf5C8ABt6hmxqYkC4W4pA677uUtNQcp1w1IMGragZXgwJl+61at8TG7QDtgi5eG+jJpOrPPp7EAn1RHw3i/W6fIwaroeXedR/d96Fcm0WVFyE9UuT+kZfFYVCKDIkqlzV0j19dtUHVI68fQc+hTkTHw/AFQHL+RLWFeQi7HXZ4YoFJ+GflSOQpeyh2Y8uT72hZve2aA9YNa1VqOHBdLLRXkscVeO88etKy8BexoP8pMWLZJVc8UnxJYaCD7hoiXODTaDvjS+tn1I9vRLYAOEraX8GDSkL9BDBZFY10eETYFroO+mQSCmeC8D8S8GAmrngMKbc/GiWuzKnaQ9LdcTGC6HZhdtpkbQP9i9fiXJb16IUR9ib2KDts5Dy/5j9QhAKV0g1hUxXcGk/6oXqfpfxaW0S9oOW3KNATp2Q0YuaDpiEWsSgOVSetomBekFUROMajg5HHQPtDDXXHiBd2HPr6uVMZC/IA4pFYrrOZLFf3nM0/gOjeKmvU6hDrxTKSgK4jx6mH6ANK0E9MW7JcTJmrd1mVSK3uIKbpymiFrr3q3Tx+eFZH8AK2jhxkUcBbkr0seUIqF6QiQIyf2Q9f+ou/ED2YQ0x97SUeKXPog8AuZoNW6+f+YaLFGK0iEKirPh2BAS63qbA/44BRELeg/x4ZAlL+Kl3sE7acZ9KobPAKnZGe7K69Pt1QRKBqmZizIlwptef9BV1bi7dvHFZTdvLMeh6kVTqqqXiuNfT/TPySUf8PmD2KVflXMtnBUfxe0zfMI9FMWn1ZtRjTgvheeWL59vfERlE6sCykbqtQKw+o7H1AASEAGGfZahN2zsQs+FBdIo0vP16F3arNtiKBOW0nFgb8GSIFWWnMAsjVlLLaZaP/QjNavHkQ3jMOfOqJjKReHzgMpnyKBUH6W4iSziDYCN5143aCH97DsLsNumPj3aZ8/cNkvst6tQwFsE/uk64MUVFfeDFm4pF6agenTmP8WyRXFOHAPB8CAmG+9XYZRFsxYsrRGKyv6QUS1YZAt9DdvFxiY0N5UG0ogRMiVVG6tVeEMOgbP2eW1QRnz0sD8FhKEoqQAgNjpQzafxakXChT2gYG12k37Zj+MrV8loKwAC3i86kd+nYo/lMgXmXsCc9zrI9PAigpIrLmnFcQIs8yuffMvumtRtOWkn7Y/LzXQY0LFd9SPZ+y6lyFPYRCpSfodhnyCuCLEtH/97kJPpJOAWKFxHtCzljjdgAjQAe2eeTY39YXb19wXnsepw+VE6ReUYvsxhi123siZyrgU5zY9FE/Tmu7Zhru/sQway6HRAY7gK0WrbLB5WOP34sVUGuhfyVs2VyY2duZp03BZLBVa6MZjI5b0RV3GLAonVO1Xk/5yaf42sKDYAWl7UG5ga9qEtlxfT1axiUyAeTlRC4RnPRnVwv/ocD+6TbY3gBhRDnQEdF7dAfBN8ArsUZfZ2pfSTfFDfwJI1ykq+H7C5q+eeMH2GOSemwkDQAQemSH8UDPLi6ZGPe1XIXWF+TB0NkFYwrjpUWEUuy9dfoh2jSpmg6eihRq8jNZ1/aG3mXOIgjjy4d08T703V4OmZB/kw2fnn22uz13aCnPwI9MFQ5YL+3Jy4g4mLqbVpgXbOkRDMO/U/yckkwDKX5ikEzUqdcQ2ezGOxwcv8KnS1vLVWI0LIGXumQblh6ITK/D3F2/ppLRav1I+cUN6HiTo67RZk54Ypfv0W1kgZvo6OFSbPyz4I0SwqWvbxcP3KyFkPTXu8XlpKmSkaJCPwtQ5kT7zpvOVfC2CYUFeatbpdSLsPm0q7yzqzTNCImldIqTF50TyCPT2Die7uMbQSgWM2SCdQvukEggNKiZvHXr3reImPJov/yGj55t5789zQ8KMOE9KToTUEMI4rQjXFy8Id1tc1w05mQZKteuJ/N8PRQKuxA1Pw7PHfGR8RPN28kS0tGEDJLaaTBUfLhL5A1n6wRqbaant55Pk9RflYDKoMrzCUk38Sg8I70cB43rTkIsT8MtYgZNzQswHml6A0QmLjORK5I1KikA4jc/26g0RUMxCJf2C2VNN/aI8baGIwB9xfgbc51KChp4Qac/kkkL8CbjV5ljMJHQxgxDTyFlf8dNkWdo09I3fddgOQylBOcP2ARih8PUEFh698TlocctPxWxTNsAITxNWMb9+OLVuij7SZl1WvTdlvFkqQsY4DlI5hMqKRIB+ji3lZFqrUEWcT9VvIVOjHMGO6QWqDdCcR1cIua1QCcHBM1u+Xqo4sYdA5/35+e8+O8+xpWNeHqhMCXjP6IutF9/93lf5kXnBNG23gSFAsjucGWW9D7Rulx2j6Lco+wN6p5V5gBAtHPlpvJajRDpX/68H5ARDdtQ8yeAce6fAq2MRg+JTTgLy48LLSMUOzdUv2oA1wVk68vV8BeHyCIiHbXpGWaMpzjQH9KECNKild6ZF1NAnd44e0M4D3QOF6TDHQpHMkNzfWCVGosNJxHgqUak6fpqEEEP06X7B2IdM4k9q/X7D+SXlF/5SHlcu2BAI42/qrbxZtas9/xB8sNTcbuLabnlmwcFNYo0Xj6cq18j053Ynp26SBjE2PBIj+qHXaDKbBllVxcLKvfSrBseS6zed1+SePriAVWZ1PDONsIDuLkUQmb10daGomT04fUb3vjSqj6fC28bBvF2ZVQwBS4xMZEFoQDXeoDIllxHDHrrAACFmtDqAcsIqwD1+w8Im2D6Jvo3dxh1DyV/nQT3s4cXV6C9fPP/TthQhE7RWzm9bz5twF7I9gAW6fSNfVoVSwUJ5Hemi84Gpxwhfea1D5JQFBbNVZxGSTCp0hXi/j+ESsmdX/hYfk9cMILBSlB4IlT8psCk27oIYJMG+6lkAFeL3/o1eX8QAS8vqvCiMHjUipQwH6nwiz/baLFOfoCARol+H99gakWA4QNT8QLjd0aNxE7amsFGlUW5ZuPhXNIbtwxPOlIg+4YAAHfu30v8s/xiPoCDGOd2tCwYgXeK87q1gHuPJxkGG3oBqVOcRBt+oxrYsIVypkk6Mopf+sAnWuvNoAF+qc/XNhf818dpvFQulQI43LXregR0jUNCA3mw9Z1+Qh7pGGdRX753UJWMmDkNqlWX3WPfS06lm74qSEoRabSRBxJiOb8rpnB77MqwnucRxkCxuc4ZYboQj2iK4gjDun5F4C1VH0nqAlt/QgkjzuI1HytYSZ07MzDu1ZD/ovusoOGMNec0wTrra2Oq0/XZK0lKCL8weLFB7t6c8XCJwJKfb2TCAwZVaOgMlFRy2yNUT1UNm1+zFIJNqj9d5i3GC2uAJtqlmAWrZd7/DgRdOuZiaOFcwCwmhKE5R+zu20Rw71CDCZQbkKak0PChgdkwVq4qD3P/pWbJo575Nnik7jbeB9q15YFfrVRl7W4IHMQlkVsBhE8UB6YRe/nm3ZkiB2c4AXgiULr7T0KhdHWCwV9JlmwWvidDH8ZF8XEGLkBTuXceOBlJqDLRzHdbEoSUElP95FjCrLBHwc+4hd+7oQstk5YRZxTxrQ+YDB0hYjJoL0OXmOxeZaRdhBJxfqasS7Hi1fP57hL2jI8MkrWNuI863hUvvTReuFnDNGJy5FcRVF80wkDxSTF+iIwSuJMotczyv9cgEvV3dD48XZZOYlezkDCs6zxLI9FrMSF7f9BIhURGigkNa62Z95+cvyXJG35UYPHz6elxQdMFD1wM1luMAkgRbqn2/mprw01cFzjYimulU7yh9cn6O/q2WVDq/Ufe9fRNSrdR8/Z3KpHrXKeigtfYsuHFegP8wLCN1dywfioIVESrDQ/98aKUpAE3bOGU/mvUfa6PfztMxxW166i49Rk5kqBQeqc1iT4Y9+dTeyIqb3v6QmjaX9p69HBsI0eTTyrC2Yy1MBLRjWLeaAQmG9BbYTMYJTq1mhUwlHiYrELn8KwLQkd37y2prkMREIEGZa1AjQfKMUen1MZ3oW+gCZ644pStTaaVOQAvERxWI+FgS5r0vfCQqh3PdKkVyCRxBVfJcom87TJQM4Lt2IS3z1yLRGrS2M86bgg46kBana/zOG6cZUaAWWmB0snvd31Kqwm58ZrR3yQp5m5pEFt3ymek4YHeKsedjVlAAeq/91aITdZqIhWDd52q8UROBZCLk2TnA3B7G6ugjNMD/33xRgLrXWpShZFNVFZIFKzCu7hpvSChn27CH+jXpOlN234bKCurZFiQyu/jXWV0mGb1VvRcmNObVroDcHrG09jbw2YwBpsx2/T11Q5N3SyXyoBcwuO0wBsizHu7Z3beLTqxlHtN/ZWfh0RZwFFz7i2ociNUPraNT2hCRcR9tcc3SS4IaHBnlMSEM1arx4MDClZE3XXnnCbJiqwECN76APNUdPtHVjEZzUY4AmofamBh63DPHCxlAoeifT8I7rr53DYgMxFbOsj2MITX4K5x5yzNin5ZRGfMifvr5XmvaKglDdSsf6zP/+eN2lp5MO2ybf7PmYsSJKnadKU4WpQRHxpFxaPi6iYkb3crqYQHwBQi/y2/5271w4m2zeNMd+mlHv3Sti5j77lMd0U613itpLyz3pzhjk+4Rlgm8CD1+369b/OifSrolp0zEPAElzE7v8C15U08M7CCOyb4amvtJJStBMWlaAKzlN+fYXRdLVuy8NlKGOsjjgtv7LfXQqpRfxq8KGIQpIjJi9+z/EK/e2rAhZcmVApPdeXgCA8pTPAdf2F9hkvY61vhaClrUap7Xgyu0iz0V+LRivikyK65esmZ6NK+C2kE27nD7TZSJ7HgMc7Bd5FXUGT3l4hZ3qEAkAGurh3Zg2/QWGKwBjOJVYZ8zjYY9/tJrzp9zQw1j6OC3mw/bwFqkQuzqPzsjErv2plZb0nIyuEmIWapisFUPxgOfp87Ivy0UTVAA1pLgMokx6NPF8xruMlw8TK+iT9t4i6N1SA07XIXMWVx13Z3+y0RPEJgHqRfat7/oqI7eUxr2GH9SLOGtoU/LNlqaVuIzgwMJi0t1ZNZIbbgl/Y1sCGsoEIoS+uX/6NkMoLSoKI+e5cN82sVULowdGbmXh7ZC1llLTT400kCrv9UsRffQPKlIMJ1OrjWybrBpxkEzW/zC8/jqSk0cF6Tv0cnGB8T/ooGkCuTC4bacqY3i+QEME2E9OrjDzhCOF8zmJ1+FMj+5g4JCvvRs6OYfYulj0oncfgvZdziNHSgBW99zR/hYayst+hBkB/o6PZI+1//nXXtBvqkX9vCWARRCXikp280YiloesoGJzg0GA62MRIZB2fDI305AjP0e0XLEFkIzw9DioIm85ITHPMzbbXlDLkO/+kgvz0FKo3CGQkIFmB6w4OZ9ouqa72XQDgyk8kfKGHLkT7zFnxuFyNgvsSXMKpfL3i/z9UIMvG/rk1dFYhLS5H57GgRevQDjAnUiFTrgW6Tc7sqWWeoGMGTUSh2Jf3isI9QnvWTbn5M2N6F/Ipnl82FCvtfZDddcRDbsFQ8g/4Y6q7MPkPRiTefgSNFOtkxHXyhHVbK+lp/dlrYCJzSErGgSOVAnNQDZEP/sEOmZ1nxTleEDnasn3xuiv+La5Yg+0QDDQDM3uXNGHSj/8Fgiy57hyuVryle1+w0/bLpzzzc1E2p8wTpieEVo9hiqcU+AcJvqr/7AkKewhYOqwYWnf3WYYaJSimNy6rgNahJdCE/HS6uma/pC80hoiGb82qhH8TfVmUwUuxu1uYHrO3ajzVV85LYDzi+K9VVSUx4FCG+/HyViAccBpbad9TOK8c1PQvFrkl502lmiFN9U9T069CSOpV5/GNqF62lZ8ji377ocCE5y7UjmrvgOL9y2Pr6wYi8hV7YMUObXXp3Gcki/gcaE1wxlWEmBRs2OGLPLECbH80GJyIYZf8tv7c/dLrnIsSyDzi+f/sXfhXOmF9BHPf4ZJf6x1MMZ8SRUBSSR65Wa/w2V9N431u4OijP8Fb1DMG9pjtV68Xo9ZjQp75XzS2oVVormONSx5RPcvsdyGiOwIvzgyLCTA2Fj9dZuVuNoDwe9m0JPhNNBCRt+W6em+YNoi3zm5fD4hrlUppdV4PgAz7B767x2T2NpHVCqb9kS3Sk/v7JdOPZEEMHJox53o6qgU12mkr7dJ0lw4Fl32DPyYj6yBp2x1cVQWplBtb4y7FYWNrRzT9KOhOwWf2W+2q1JuvPJcfCnOUKIRirHkLVcFVsksM2y91HyB6D4Omur65bdftqeXPEX18zRbwB8xzo8ZciOeGQbCR3UQ3UDxQRI+msgJ4QTAgCRzM3rEhO1BP9b7c/Bkqa5yadA8FdrE4dRvTOFySAe+7UVGEq8O5RYzeHLCKauo2/T/GdL506ub/6FG8rihkkMH77gXDQUFBQa8vkOkfByGtz7qfSjQDwrZ+xxonpz16tTSqz3L2/IPiEq8s1txDjyMBoBRm/ox49vg1XQVpXjgyKNdniPiF9F8awayxJKA+geIZSVlbp6uWDQzvRQ3uZZUMx2FbawSRdaK7vTv4yL0BZwZgAZ43IT4tM3m2cTizAMPFfTIg+rAAQyGmDxoDbE2jQ+AGTz02JQ5bF9sgPAp3RK4QmGPtIDXdgZh301QYs9i+yjtfMw522Bd+K4kUzBNz/oYdiZsDTTJw9P/vYI+Xyks8mjWsiL9PVs5xu8xQpgIV3oLBeG7M0oqqxXrMtCzRAtOJGkj9/0NRDEjBZdL+d8vbXKTrS7p+5b05Xz368oBRB8TsYhv6W9FKISGmc83+2h88nWpFfhGvsI3r+Q3TedS0NT1eKLMxUkGvmKvZrVodHQpo4zNpxCklKCkNfcYJI6baAWuHsk7xJimgMvBBseRptrhq4kY9orgDirpCuXMJ1Y8fIa6BodhflNBC4XElXxLvP8iY7f5nZHBH4216d5KS7hydO90qTGMoJqbVAfgIYDH2AEowUrlD6kQ/IemlyuM1eB5LxhMuZaWhqwWOKKUezlLvX8dHM3lxbpnU54m+gHKyyEEn2m1Py4hTu7gQSNY3eei39t1ttBs+iZmEjN09nc5c2ZYiyIq9sH+lkSmiTNyOAPuo6j7SpIix6LFpQqFcmu0WuS23j08dCMTJxIsrB9NEu761cL0/JPbTFNNtDNZkYjIJvNKzOWRKIISNLaiu/B7cRhXNhHG916GNz7fTh5D/DxBpmar4v5PqCDFOQkFA3hQyDR65tgCEqQKsiZuf6QhUjafcH1kYxBvWc0e3gnZHqioRYezH/V5o6Eq1qYscnDBlDYTFEGO0YsXoayGnh/+GND14MDLQ85SYxsKS4VcS3lZeYbiDjvKcieq5Idlw97sgRNd5ATKaXutqnmgf64Lq3Tl8Hy6hREa+mpktLyZ02pyGImE5G81HZF34wgtScCP8A8Q2R1+aT1mHswMJKbet75ExiYBmZM55xCC7kMd9rkxSmA1fhoZOv2EHCS0e4GZw4szRLr0WHoSa4LgpP48N3Ra+gyxgpPH6Ec42zM7A4wy2J9xrZ/qJ0PVv3W3BBQ4qHBjcJm/W2m67anQYXsoZdjFLVpTKDvS0afEDl9yIlbCmoqz+zaH9wBTN5vwM33j4E6p1eXafAjNHrgS6XdbagxIKDwvYLbeBASWH6ejiYHtE752NQWrJ6L4Yo/4gwjjUfd0FUlOI4PXp3U39qTjNJ1cD7w6SPOiZcgerRyKX7C7i0KrvvqgSLYZTUWS9RnR9azpyHJPftESXjs7GWg/X6lOSutp0ZONIr8wL8LCrsc/n1mYjhBrIjgL5o0jbBrPvfIxdKp8a9kWGhbvBkZy6R7VDqkxdtSodl25SmsJh61beP6kAnCZ/DcfrbE2ZMfEXZeB/JR8FDD3LHx2PuE8tZ5Wwiylqw8jNGDQ9y+eZsLtpTY5wldIbbnAv0skRTenLqrAfRA2uDUcDELt0rxZI45xOTIBU3ne+8PoUrdSn+FudQdelCvqhylUE4egswNevgloEzc0xAwVj+0J00GbgKlBwHew2WrGA/YSLttHyIGptmdGTqW2G3zlfDffMIQSsS0ukIObgOOBpztAhcyvlA0mvvi0n849AlRWvN+mcDEGWFM8rVboUT0EcHdQvL/7ckbY3vD2liHyxaMgGxBZzlGumxdQmqZ5wzvqKopu8enYJyvDuUJza8jpoH0hErqZtq0nbjOAy+tBJANwpngRgr1kLZ5NWDPB9WSUrhl2fh03YB3hqzUIQH9+HCvzvIqmd6bD3JwZclNW6Aakevxy325HUj0xa7ZqM3r8zVYSmtWvpN3KwwDWSQ9AjbUbqnVH4LtTxTtDndpnnZ/Ce0F3xLrYFCP2HHLKIlBBYxP4TBMdncVWq++XDoOc+eOpd/A5prt9CuBiyRSXHlphkqO6b7lzKAgchPmG70zRXOEM+a2ouArA0i68KdhqxMwEQIP8jcBHiREmNu8E/5ZOXF9SGQ2yAFlgQVB1hXY+QSLnMy1Trfk+ktthjdj/+hJXSjJDG0UJOcm2znNy4E2WsUTYjGHlXWWQWmYBOQ62YF8csd4YAD8oTsLg4up92xCFgJ28WqzgBjPkyiSA04qLZFSkcbELHF3HohNddcck8X6VD0aWGIq8sn6SmCPvwa4VZ3hmCBgRcK2WW52XyOWQfHH+y3g6A3h+3g0hBIfvPZ8BmnPqUuXvSDQpUp2czjsnPusyzXLHPyIjCRwrGpghWj/UwLKw7nMk3IW3h3lT3g8sSAhXzfeR/t0lNe16qLJnRvcstL3eoHgjNJP5AtdminsY4GQ+tkdtZgK38DP0l+ut3qhJqGh05UMlLWX1cbRxIBs+WhcnC+qKcF1SfWiWzHi2VavVC/d4a06DAqQZ5aQCUT48UtcWFDF9Hu9N+YXn6Vl0QfbiYpfkThJWvarCXoPTqbCWgusnvOI4QIV04+x13wc7Dl3pqFDrQ/sGMolaNsfeoABjOYtr6TWmEb0/sB2Or7Il1cCWPokxqiGEzHEDYAz2EtMfUc0OPpMccOvUAuP4cdsgkEUqDcmx4DTuSIouPHYg1C2D1S4IC7zKWnMtyixV9kMbzSWLhYvwqLELJXI6aSIIIOyh+Whha877RaPuFSWo99G5RkeszaEDaD1VZHm3JlokLmkM07YtmydpXgEO8krmEfgon5DtYu+uYUv48dJ5COrqfS7yvEmXcTFuWJOPxkJuYb4gt7bzP37IFXmvq+7WTAWWNQuwsgeFCJBEHU48NqCqSpQNfnfOlxhwyRJzrGQLE2ZSQtqSMvxtRbOLEoCYfh/bGKJOFsZPCWkZfz9LxCzs4jWOBH/Ms5f/7m2oe/X7FO/llDVl6Gp8Ux1Dpfbn72nNIPAx71WzW1Zz/HF7iPcEy4mW0UUKw2ZEJhc0EvVbeIBdFxQR/xtsyXjp9LlS6/CdxFBJF0bV7gOI5ZmqSV4KuvNDHb5tMS0MCATgq0bEM2rH/eRxc9fbiDw26yDtcttq9o0815gOsvDeVMzC5/DnZg16pJC3A4X4S+AJfF06IN1BPRChUqtgbEqcRjR8t61FQIKJAN+MuB6PT379bb7ViC439khfaeM588BxnRDG1RO8gh306NdoC/cHFWt4zsoc0LeCaorHrbSimCyenuToM2tDoFjylSVRArd70uSEXZjYOlRQQkXsZPJr9NOK/YHOGR2rsvJyrkSqSJB98j5llNPOc3085L1hc2p4P1/hQhPPTpX4F85HUmXIp5HLa6r0UZLQiFyMU2SxWOYIyxtH96mSDWdUkaMlYN+WN6NEPF/ziBhce6El9g4zycAYT7lPerkuXXgH4dpj/Yk7mFUWylyqDY65Mkxm3juF5+CCenFfbAmrdkOG8ukpB0Qp6n30jsIcbpnqWdrwDIoavop+k8phhGCHlYDnmbllXd8SK1SECUdSRezsOIHG5XH5BhAIIAlJayAH5BUFTX+9V5k4B/k4Hbcf/ok/OfUdw76A3Ajy0+5nqnuus61DdDjrtj3ecOvoE9iTeu4PO8ghZ3nV+sqGLyixGMSI0ffDedljSekHBzMrtxq2XO128wxZrUVtIz64NkmmX0RuWvWzMg1yJeyAv87IakwMrzu7NlVA3hITqqnQFRMxVU+LdAEEJIQRtFUna8pENsVAiSX/kFLrtDY1cbeQAVGqD3+SiwI8eD1IUe5y2dieS2h4Tf4FJMaPdZgAoN3vofnObTSIEcYg61toNCIrhIx0fG+JU2Ia7ALzVwiBvCxrYaWHnW5WgmVib0OUKTyStONYFjuh30FIDmz6ru74fuQBGFeVCwLD7t8+f8dmeQoN2LSQzCDVV1ptqejV9ZzrXGtpkZGeLvrN0n6OahOG0cuQmdzBJ327AmdJ62ZdrfkwDjEkxpyQanFNNuohXsbhRcS0QRN5+sxeilbX+PeOP4ripq5rM2EvijooYADRsw0FeAVNUYfgGB4Nk48MfAVSpCGvBVCctWL1DwGOncCvDqQeZ/6RV1+pJYFbYs06s3UqHmf4SmZ3M02/GeanyEUKEl8NoyXTZmojha2eX25n6cqUYTfMtuendUV7681PYyb2Zkw3lmnSSssbAM1jqEzEfSwT++aZAOd+9Ecr1s6QcYKL3UtGtAxiMLV++tq3J733qmSM2aIn4rXNrOJIWKU37891w6E8X3yLzTt5mFVzOGVWaMGTp9991vsd9bbmW4b7QRHmywgadSFSdGn6cYR76WF0H5PBxGJBWac/CeDrfkRMfQnpWcAkwYgdsXdwVLJpMIBlMO9cI+85br2tzhLBE3d9yioDUQChMB5iLj3A6sprwbz0Sig7MRVSsTXQx8HEvUWN/1sxP0q5+waWbAVjoPJ0nwxuh7RgdSDMEC9pQmE0T0igK3W7tKbvq6Ls08EdlfxuWkNBm6cGkzm0mYxMLfLCVNqeZ4+rlOoplnfqDDMPItCy/4gGouOg9NNJUiFIAJPyqDHF2Wygn2WGdFk7zhSzOD7kKSNWF8xItkN2+8sZi2oBgoB9uoCKJl72c+Nu61S08bndUNzBzFnmUySd6St7dnB73ksrD2pXzAS6ftOj+RFbihEdhQ6hr3MXxwnMhWIKyKOKZBNf4+WygzxyT+P1qkKb/KxniMYx1fM7RbAnFRjOuYPMrD9a1UPvclx6bc1lLXPDVqZcaNDPylCuIOam1idLxWDnDrGXly1Sz88T2Db32YkGUVU2MESAPQajOtNJkUrYwunMQGK++5XnHMlebK59g+yZ/AQZkVKJHITLLTIwKt7FwZPcLh2VJc5zPJTR8IRCV1HlYN9HHFfyjetYgp9BypE6vkR1xf1pW4PZh44UaDsgrOL4mHiy5SOI2CSjaZ9k7qkQ4kB3XW2FzcOuXiL7buG36Rr3YPjX6n8iMHcclot6ZjBbJMlMbzB1xE39vB/Sp1GyplVmNaiURj2mgFQnDOSI1Zam81OlqkKBYEW4enwd9WDsP9pEBgjxq9sCXCWIB96Fdt8CugzLg/g/nirgMcwVAKLVsleXsHWkpUUdGAZMHSoRkfK5AaQPVv2Tx5f0SbDXkHoxgeLxAH5iskceJDsQCE56rQUHuJ3KeDJK0l0qJv2KGxVm94NnfZt3w32dpWNeiQoaZjGbEZhk0bDFTnYF5KNy5r9814FWRxw4UtVlQGLrqwzVLqhCSiC7Ar+44w+6DeDVVZxMh1fimjmWVzH1kPrF4fiopS4HR3EPP+CUrreBBGTlVs1cnSl8khJlyD0MN5JxOQwqKkZLTm7NiAtP7xJEx3+sUsjRRj9XGMIcpEBIB8Q4PG48Ks1uhMeUGL5D65zHc+PjanDsRDJCsQ0JBz+LdT1kH3JG6D4YvJxCoRppz8l3Vg2KBcO3JWqOnqr9E0PbykBlFHdYeQPsKUPVUl9WTWljZ7hradlhaoPVQT90Pjyzqz+MbZKs0xSlbGNXXKOXpTRhu+izodO3QlPOF3A7GS4yCTTB+N4ODRBPaWZTVdCSpE465DSk8fSZ/2Ocz4I51Vj38Qw5xyyV/D5exzZoFHaLUBUebPHM03EU3JncKDYJDl56YbGlhogmB+Zqsqbn8huDoY19GyPGo6Pg/qB81jZ1Yc10/PRROH4XaTP0WMMgduPhhbXf1mRYUShkw0o8+c2iLgxLjpOsVsi/4OtdjtouxYpxqiils9UwzerL+Dc8r4+4MSAuVc5z/jM59F4hSqww55lVHzqdkR3c7rDeVMM31cQ8tJbjZkq5SfxgVnqs7kRfJjB96goDhTrq/E7gMalzwh5sWxp/Y8P1vKJRTBZE/f27PhlKSHDHnU62hj+7yG95AbssMNtd/EjYZa78BwL6+2LlH+e8bf398w2y2yCZ30Y3/7bGFKe2KEF+BbLCndBk0Hs9UwFJp3g9uFRCDv6F4aQK1bA40ekPO/0q8ZEe9brhPCbLBIrxA2BtDv5SaeRR6UKOnf27+iiUiMNTyR91eiKYyyMYlQIN8gUWbdqOUfAL7Kyb4CuNOM4sKuBOBJyxDp3GVb4a8zkDjESjYXJw7euFo0zhyZadJAnnPBXBaYSPjE5ruLARqdQ1Mfx5Hzyzv0FP0468bdtiVepTvvsu2EpW+H8Droh+U+ArA5jZjxI8Yy4opM+KsOESd93Ljj3VwUAACOqNTTCdzwgIUdl6R8TDGlyFo0NJ1nTXWFlbOVibGmTCB+GhNWIz3dNiUprK8hRHC6wWrNnwxawHCtWzSJToom30Bg5YKyCOShecmpBlqXHthQRKreAWvhRomFSp++MGwxLOiSG+hzaPQFJwqLfnUZqKWl8UK8vzmqOQhnTffjSp3qDabSbG7elu+Uit5+0qgrvpeEN9aZ7xlEygFcTPoD5pDFOCEeEp9Vv1O976+PdxoKxiacm+/3mjGNMcze4xRwryJ7dJAKZnb0Aw955T50d9kdLNKBYdb+oaiYncgS3rAwTFwpQ3Ao6iIkLKlAbJ9YaTRASgl+U7B4ne47L2x8Hlmzr0KIq8QRErVHMGWxY1I+l5XWPHPDWatXfMOX7wsT1QXJV7nu4xfLaKONfK/6jN8JY3oZq7tQ7w7i/JrTd30ntbOWb7vNuMXalF5epOWhWayLMo89wiRPIh9wBh1ywaDxkBlwdPvRUBpLjz54XLZrf4DFG5b04jW4jbU2iIiwjIxkUHWAfyuvsmojwq7lXqIvdhyDtpa0+nqMmP5rGEECTY+PUj1fBpCjU7XKCKDlhdsPqJ7lMFsNB1jt9TS8fO9anlom04RZQMwzRaHTFKtr2rAmoEc2UJ+McN7IZPZ7QTAO5LMsBpLb77vzpuznMo7sYinqs/Pcpi1muXbM9gTuWDDYO8WRChVlZzMZvJA5LAHa3MsLjL7mokmtf9Bhd57+TxtJ8RKL0Za4uyYYeCtM9DKQIgtHZnVoYuSCp7X0U3FtMpe34PHsYF3KSiGjdLNt3+GQqyQScKq+NcupAYa3xeqM0d6oHweOyRk3Sl37hsIAfMF4irer3BrVzlzySCjQDOHLg+iDou0a1MLdZLEyUwh70QKotg+TRdQjOxwWuqRyJDC1f21GceW/5rruBrVtoYk3HsaJldSF0H98LhKPnhJpkGBIhA5SauLb0xVZMb4MRulbd3R8ArfefkljvN3mqu7VBU0cJ5gG81XcbHF9mC3dqgbYOE6O6eVyZ/unj3i1IMv/uB1H2sxAr9PUg/o0V2OwpnEskpDFfWOveAGs3brNRjrp5uIzBXC/cgEZiw1Iwa1EJKX2vmLvTQFuha+GyoEP8/n2AwBnSXARXPCpS9avdhTIzrKn/Y5HC+C5oOGBjxyWVnPivWTaVH949/M9HCJfyKmzWATfBZUvIGWmw1X7eATkZs4zgYAHUIjJbEk83g99giuZCz9Gaijc+YVGZNZclfzd2jUnNudWE7Uwd2DIMCIJVllzmADSe8sNThtHZGS/SozNZnsMm9CG9jzmwSi1DrFoJjiEa/Xf/gH/khUG/5p/bkcuttiq4B1DkelC21XN/Lb7w6NOjOQDLgtgSuRYNRwTURkT/cEbHaHMSiLmRVyAUWoPz0N1uQVayzgxUWsXOoWhpEFKnY3m1Pvu0f/sQLHKaBWhHL5zan4fBGjBrbrgHItyNY4Z1kVp9izGfb0v9mTdT/MhB+TM+OC8Q29Pa6x4oBq/Ul9AvNL3RWhppHJ7qdnm5ewB2niv9prR2qyCaFjW1P+uGr/WjNd5GWa0NNxPp9Q+CxPuNEYMfsCmLR2ZFpSLw42/spH0bm6auLmv4Oupka9ggvaqD+Vb/OgjWU2bHc4t5tpqOIzmQqU7qN4CFZatm8b7XYOoBH8ckRv+wqYqOg6olsRIJZxccS9e7q74oucgwUxkDmNJWEa1QcEMvJ0RBGDObMU2F1+CZRhMSZk6zjpz2tiXHaPIfg1RmmC+b0U+HCCtB5LBLTL9CI9HSzjQI1Z1MoS0YtRGDkqeB152g6usKlOQnsCI1wNg6RncRIGmTGqnMBZ7D5xncd/te/of8zpgX07IH0NLwx62bxfytVbkzt97uX2vK9+o9V0zoxXt0LAepi1to22sPMBD7GGyPHxs4W2+OMqyuqI89SZaU3a4AqhqosWE5dutzo1eM+JjMdkGBAJ3Vq6disbYDr0drnSTMkc1Hd/tiIFQzwxyx+yMwPM85iouwoiQHrejM5jLM1G17vkkIxvwaNVrwAsCUSATxsymNVHjO+YUTSAZNuaN3wo7UxM0pRupS1ctf7g+/SAMSmbz708b64/B5yjx+GnmfKGt5T+Jmu3sLRPQ6pg83u5ut5+AYSr1a5j558pWn7k4ODrKGDuM60KUHnXkYiWbkeBn56Rip+ob4PGNgVXUcq34zXdpsCELkwYWxjIn6ngaBJSQIoF/sv+xB7j8asdwIIovqHDEgyd5ti8aoQE8IEY+jAUC9G8T5pCY3qpXaFRlc4zpA4BT/FSd01yFi1RaO//X3A2W/izJQXl/SfIozTnMZtW+BSDVwM+6CIytaBBSQ1L9JhlaOF41YqdmmqyYtdjMYd/W8aG7xolbf72x94gSpcYHRau7lmrvxKKAX4W7Yk15/2xeDhKGpkcNCu0BFOlgQegBDXdv5txFs8upkUYRBok7U+iNESeQ0vYhkFOZ5yicdYe0M2FXh1tG8PP5NJ+gGe2AJZn5mAs0GYZNK/8HQ8kboN5TBURX/xbDNaIRJ2FKvisVGZpVSE7pO2TkgWMHNqGU9fml9w9611LxqBOrkJTQpncFmMf89un0xWBcF4zyajXE21HY3SlYe9uDbIAFu8sOOKZfy+WJF/lsF7BwfwI3xbJHvxlLBmv7qcLl0Mu2MELbRFvtLnHVrxV8uCLHZMTlhd7Ez5uZfERuSKrdSuqxuaVuXhWbtCstvcMblh6w56yK644LRI7mUV2WsYKBYo2iu3YG6kRYW9wnYDkstCkc+lNgcO9IXrX5O+e1gOPQfB6+jvscL5SwC7sPVhiixuJWcMRG65BeNgZ9NIE5m1gHjPKRQATcaYbOohqoUu7OXtkkb0NL23tm6nbuojxB5QW0+UZEbHlNLJ41p6NYC4kEz8elAwoCqP3iDc4no3m9oYIW4Eobz+qEeDfcRfDjCOAlVb0ozqwzhQt3WbpI25APmZfbKJxrGMgAABaSw9Ox7HHCN+kSUYu8iDABSV69zY0TtZujEf57q86+Fy9mPs7GGiIHT0mF6Vfj3okjH4+7q8u7zcnjKl7i3ayXzHmdsECRPFSnNQ2AXqP46Ba44St662UxuPvuY3ecALXDJE7+ix/3EypL/QKnthvJ5NFejL/dlZAHuA5y1VvRfyIAA/HXSDHtRPpifKyaEGKU+nXmVI2c/aIzRoKpOwFy4L/iZn/yHnzfThdyLnzQlUkIa7sVWFegB8VQz1+on0x0MVcdXjJ2pdphQyy1LuQ6VA5VW0tjrZVtU60JZ+DNbzeBodUKAxtTUsZg8HgqBEiBoNAloruH4cE0vgSR/mZrRAcCvQKhZ+HLpzqm+4QpxLNPNb0YsWsbEt2TCvm6r8XFxOMo/+RRNG9rVTltlDahXM9VPLxGMIKnkulAdy0++3Aw35BYe18FD1a0bC0Pvbhw96exRjDx1M/uYAkX/9lOTYq/rCWMAvqtqdOU4r3JhgOHu6YlzOMYejNGc5/q6qwdJhPqd4mYcK+buHYojxKYkfMvbEx3ICiyG2h+9njJZWbdUyzveq4ztNtTSFI44ue0HEqm1xP1BEQaDc9XnrKVwCMzdt3fO3DgYDYVuo7kNkLJgJjqALA8R0eP2DHcrmOBRzPFuRmJxDmbSKRy/9T49TMtHjyazMCLILSulVkRKwrSX6ekUTARPZ7Xi76KRzD26fSCGlsdgxym5fZuop2RIujXv9AdTvAPotCulDvszvyOZXPu9NeozcEbBVFoIQ+taRiZ2didOMpudJLEWQFiIBSw0ijTJRzP7Qek69ApDIQqGZmlDt1tr68fKlgBPHbXUEhxI7EnAqHaKSwzGABH107fvLgd2RzDr4EejUaa42SD2u53qMh2xxIXaG+Lf/enYXhpwPWjmYIQQOKWNXyM8w6Eyjam1wAtdpW+pDJOLLv3Sfof2YSVh78eDkNCq4hqFZrn9S7wmNP6P5JSHAWwfi3PnBmVKSmwG10n0xWVbB0CCzuK8mKAsoebB+EO420IF7sF98AmNtEgCBcIzJIeXRdWwoGMkOk6qDwZxi1sc9tujlWU4D6ZD0tArrDuoHqUPiNy6x85JUTaTm+jErr+O27WWGQChs3kSx7pf1yLliknuo6zFixEC9mz29d9UKN0xZ2nlFlhBz8b8L084jtcQAEQKgS+LOf7XTQa46TkcGd8A9oc5xHxHc+b6HW56ik44KgmWrzFT4NdGhYbNxNayi2mMG+wNFjHK4dNdGPeEkgNMI72LROtc2nETzxBK5k16uNTtBQZOfSiHL33YdjYf6tClH6Wlu5aFC3aUpeFpPCCNTAm+LiKbtTtBavKFM0i8zLizHSZKp5soUwrT+Gj4VYdQN33zaA1yseVajdKmon6LyivABHXoJFvDOXUIRy6yszZ2+7oWupi6a0jtq0oRqO8eFwHK7Ak8lSs3ND6exRTC5LREj2TT9ShY0GPcjuOxtEQK/qYYXjEbu0a2W0GHV3FqA0fIxWyHZ2jSpf1vIFH82vGS17Efyqyy6R9dBcvvQ6nyZYK4TReb1vgLBxE6FeIblAUH9NM7T4Y5DBogDO1NxnFvdnIk36EgAU4+iJT0JUUHHIHXeL1QPjg/8gaGsbBS9SNnpbGXPzGHK14bLkBQf0Qg90BcXfaADgWaYs4r5/gWnxmlYdD6Xsk+JvmneK/PHahup1lz9mGriwM5n24qjKCAt50Kf1dP+isKWdObFd6hWMCtTbfbkl3+JZOFxBvIzDwcoMbh2WJCUdAGsbhrOxLaIICHk2gUbVUih2sgQotmk7FN9n3lVBa0S/Ja6e82cVZNA1uMu5Q/WAyfEhQIGtpUTWQh2l2JeY3A/H+HTlidpDWu6eXu7rcF4Z/TonCrBfRen22OPGtUqi1yEMD3TduQNGwofwStJkY3JP/sH3xlZlC3RfUFAV+Mv43fu35N57MvQ33F14q7ck7fLGGlP47f8V3NGBUI880gjUZZssjfY7NfUbDGUJcz9c/ZVMWUuTRLPW1EvsBVWkVYjWgQucI1ukA02Iuy63TPVuJJxwa/btMPLdUDLZ4sNac9ba3XWnZ4hbLXm4rSPtMlZ9QKGxV+HMYjBiL8oNgkkZ5CfPVYHBkstbFfKgIoZII1+lhJGGmA+1zhA2EGZuVCjFNJbMSmZOWdpA+ZILD8pf9rfRMnS4J/BCpjsU6yowBJA1lflzVm/7OFpU1qmNXPPytGGxHXPll3V5fQRb1bVrqKJPtV3DX7EFZxcOkKpU2jjm6thHIMCBXefIMyb3sD3E4qFjanY5oU+1cuKv99J1XxzcjeIWDzeOnWnJwKIUARWdm7N9mggrWPGxsx4tIG4nweLrgbT7RU16HZSpoeWq5+oIPAMNhMoQ8bqjrByT4/Un+ajl5NHUsURVHKivD4WmuAMQDIKKabO7SRmnTB61Al62ICxka6VqpnAvEfClDjXFHVrPVmMdA5dofAWSODkI5xdtLV1XV7aCEg+4WTLXAGxni0ZTkM33ajSeorgX5ZOu8iAFNNfAAkNrHLAZdiAyLNjukDBT3iZqx0RmWmwNTN6O3geZu3oSDjn/neNViBzcdXCDD+lKcBUj0LWoTXu1VNe2szvcr6pUlDqi8i5hu5BA8d0X8eoGi8Yec2oy6FaamVGqzPkuoVko/8U8QLd16VJWAWp76BO0ZWnfoZf2VoOKTp/8ZgdarBx5aBHOWJOZp+TkpOHHgHU3/est6Q+/fgNQWUJc2sWcdLKpGjQgaHxqMj6j6BkiEGOeHYPxtPZH2ZzdRIe98oEdAwYOu7G1k6AhkhfbpS6awlIpTbLkJuNVkWZkNpWevS9LoYmro9eemh0ul+nNeHpNlEpsSjxUwHMiJA8E/N+GQUw+YFtiB6a6jZkV1QV+0iMPr3uHJvZO2G22bvQ76cSBgbfWkDN/Qafx0DfzQaKUeQ1s4sLcwHN32TGGZwJkJHJ4ChFuO0U/hXi19/zmNm6XNas5Q+39dzHRyd7h9C8L+MIdZOxJcwXkAjCb3BBCHCTPrH9hAUDUVti6oqiPTM8edaua78VY9tOTQ7mkQLjCGfAMOGZNM5gFhP83zNzBNx+iJVHXCg+ykzFsgrm6TwDzSVjTBxUqTlJahEvUOPB34PHLep+lk0SwwP5bd6q5WFJ1JBk336FXYCPq6PwjGtjSDWLsn3xYdCHDpxXZUt4DTasxLTNuMJkbF+bkHV5ibCBOIU03XxIW7s08zs6MxH/GjpoBZM3am+5anVl7gHY8BHq77VY85x12e9rrUH8JLz2e2J/3hwytWZtEz86xgZeFQrfW9k1KivF+uMkhcQjw1uLDuxq21yC6gdsDalnNckblCO9mqjzUhW+yCVIyyX7k1+aRwUFZTH9Bl6h6IRiKy1C6kIVrGZ031JoMzHdtpZM+FMfpB4xOeyuTMk3cNi9uI+lbGhe9ydzwo3/w96x8z817nK+FWxCA6eQpm5TV6CHFIfXLDC/E5vFErydc1xc0rGaWsSpRkwVIJAORmdKETgDD0IIkeWxkJIcTRmGYXGmTA4QNvrtRtz1K70Z6QH0lwlDfb/zJPVmcQWdmFbwPXMit2brL8DVvCnnxtghEd33z8ja+UxXUHePHeiwUfO93y+DBFaI5Ive0mWAAQm9R+2ki0V15yjigL/JrkHDgw+3rka5xfROS7pV0CU1m2u7vNIHWIGM8vO6mugfOGxkbmhP8zEs10d8oXjckAjGKfUCc8R32jrpebicYYf7/SjV6nIbnwFLdzpwtOSEkd25C+wV/rmdy07DcFYion/3f1zgnsVrFTp/EngEISFm2359UqgL5PvwnU2lm44Z+jjoWMKXMqmSsZkt++YKSK+kPSM1ZZed6T4WeA0Y3f0EEjKqzMUh/5HClM4jNRturEhNCoyB+HRnfR10UmirbPoTK2rdo//l+Qw65pggWpgxEqCLtUqopiHHdX73HONKRpUeIxsRKybn9xJQ8YPDq56O25nb3zqoZrVgfbuZbSXSARO2UYHkIzPsZ6/lrmjKepHI2aRExBnWg4WVu340Lq52TEL2o1+vRDC2CpuviRR0lTwYG6caraf78PXONpOZbqJKNYDruPOT6+9naS5k2c0Y6XiCU1ArOWQAtsFXmD4xeErXmWgGaIOUR0uHo7hGijw4WrUeJB6mo1hjNQtc08t0rtN8TZMF9irQOMUrQLCUAB4tqsOH9EgNF5hwkzJOo1HP3i8xzxzPZq99YsBsLcHM+I//eCfogobd6PVGQurRboHhwb6YCByLDqA0qHa6k0aD5PQ0n0Ik/uq6W5hBo0897pZP/LrBK4DcYvhi6VKsgEDZVZ715HVq6paKd5g+4M3RayA8jD20Wt1G8BUs6bf3UFaHprtGd6z7RJJlPa8K5qsNWYgjsV0K46UqKeX0uckOZbqRQ2uuVUPCgsYNEAwWqf59aU0av34tSFbsMVsaonD6611Kl24wnc1WK2NBxqKHm/J+1pkr/kzF0QkT60UXG6zWTtEu54lA4+2LsLjS/KAM2V0geBap5CEu4Lwv3mCbATts/eUHz3aH0QA/7k1dj80EeH+4xOYO+co38WpI/wT7OoJ4gFgmXcAtzl+aL2cy6jfhLT91XlLdJs20nQdTcnqLc8qc8wxCA/eOt1r0OSKSIUpq0gZWO7KMm9N45CELhQjjGt7ZAFP22LWU/7p2JLDbDcJKi7HLLnKjdUrQLdIYvXTQWFXsX6gbX6XPI0I2nhgQe3FTgv1UcKHXThBJ3MNoE6KFU1cDaHiK8+iYUtfkypAfHaah+eZZCIFHCV+D5r1HyLn2LuuRgWm7F92t86QNvqleC0L29f0cjUquc/xWgF25nWPGqF+6n0YNnJMvm9csD1Qlu53QEKOhmBNHmbNDi/v1qze8QkWN4DhZRkYFFFXPTFqWLpwHxD6ovPyxogSRlky1zaOGQEGoWZparyYOd0XWha30As4C2i0RrM+JBOAYaAD+9ZcwyWGceZFd5Pa8wveVhpV91UtXBLV15/1a25EkUnzWDCGxL5AyZdbqBj1u6KLQrN620vO6REWh2KeT1lehA4n27mJtPT07cWwC1Pt5wINRoUHnVBhYM5vgLgt6yFQI0rxqa1nJZ3yqMBEfkxKvZ66uyOAYhqBlDimlHp4VxRE6xHrNFXzR8dKIngslm2MokIlLbNYlUxDgCa9n/6vUGJjLkIGBvpKNRQQpXfzgTiIgP24fYRJgWfQNk3H7UqyLDLw+IbdqY2gSDcRuCj60mC+uey1rNjLzRCgheCDV79A1uptZE648p0wPFA2mJdzdXpEdSaDnuNR/ne1J+UcW9QdkfTVFkbm0mI3g7gak7BYfx9oPaWiMF3DkSurSsX9+pvuQC/PWcB4f24N0jICjkgPMfDkTu+xwVPBnbHVEIVjs8aQ544NM0rQX47d9Jg/jqi0qJ/F8hN6F07gtuZ61t8dTFQOLR6961+mGPt6uS47g1AA8CxhChH/yS/cf3r2YL0eX3a0cZ4iWpuPRHSMnmoCQ1GNUto+VjHM8nKNciRRkjTQx2we0joRWT8p6h105mSsKqyIDhwIFvmCzSyZsX/oDp+mBbSqP2aYfb88XhYvgQxFvKQZhDUCWC8tqaS7EQGCBlFJUiC1fHcEQu2s21x6Gqw20zUuOcSI6USOMrlBPc+/eNvDv2BVY8mkLxU98KJJVA73T3HCZot3jziycBaXh3+076IpUcm0HoEkVpTdiz2/B4iJX7xqBai+/SYy0NRpT6stIXQqJyQNLvu6705jr+b0J4OMGpya3l08zEouqs+6gCHIdP6HWGJEsr3oSqzWRUYx9uO8OxucFn2pmYp1RIMvoOUol/ZtcEUYYi4eHFpnXnX+UYIPWmfDDaOdnNMmmDHqvty/6/6sFUnIlNWNe0FmslLAT8t+gAyUzx9Y+Tmcq6npEBASYxQhsW1GF3WHMVOanr9TtzbKN+9n/yeGbs6T9YKZDWOSZySsiJKLkXfdPrtCy122l+75z827geqaYpHgY/mHlk31lqKXy4maM2qXg0vjLaspJpPXOB02Zk+AbfjifFaclE3tDnxzyF42WBb1YFPrTIeicU+N9TZgi/KQZ4jL4Fxjeb1M6ZAOXzHqxXZZNcIXWp/L8uLxowiIilzilVgqBsdw1BCqq3iL6Xx7hWioGCWnRvCENfQPf1pwf0UhZXZckGNkS7IVO7B8ah6agd+ZscKqBBaTQL8W/qvT/9o5N9415sqLf9p4YCHP3z6XkBZTEhzU0N7mgZV5enfTwEmkrq2HGleF1un/rbHJ4V3Q8vtFLYf+Xgj/N3OQ2ygNKGZADRDxVdwt+WAWmuKZAQccTJ2W7Wcl0IMnd3MEJaHDRllJmMKKmQE3cVhmgIzAK3SwXLmDvcpdOkrjrPv42uEbyGSG3DT1ALMOAgNtmbEbA7ZJGP8RzmUy1NgfbkFt/F4PSEjcP1YMwuSNNsCDO6FzN5FvqZKeMPjs9hItZzPFVqWifqhd+M/YMpXKv+eyaS7cm5eEKVrSKeEg+K/qTEhRp6V1WSVgaUKLov5yfTTeil/QsXfRcyFU1VTlxjI/Wezb148/RNMFHA/w42agRLH6dnfOy5nnIa4r96JXr5uI8BRfWyQcDNDM9OIP2M7+MDzi7VVg+qbGjRLW2+4ovLfQr9oyFWvdcm9hdH0m29ItAD+Te5ZY33+Mq7HnpbyQGsCurBaNbBYrru6LQxYZcmSEB0KsAAAAbCOofPb11RDMQfkfrJHwPP8UhdIXqMiQL2keGC4/h3bcxc6Uup3Sehy2jKVvGfjQ2g2OwhytYiKt6v5E9LhsMIpE5XwAj++3ZneUupOl0FUSXijvwi+3QScSS3nUij1agjhHE7ng/CUWczzgXrQkaDgNadY5KQCZlWwcnJCcrac7peljr98eeN2ymSRUtJf8bc0vcZhmzzyj1XOhPt7k3CFtvLU+OtTj2aakxSMoxvvZlF+xS1K9z+5Q+spd9evTC2QdY5shzko7uvR3sYS4uS87KNXk1iiG0+F0627zAOqBtJN0dKEGKAY9883Ob5ffLEZP1mbGrFB9guG45RS7+0hJhrfD9Xy2IpHZ3l9cGOf57u+tRLWAwmkMN5iDDymP/l7N7hFnHsZlByyeTM7gndIAE8Oxfa684NrNxgwyfDC+lm2jwbeGit+5dTikSvzUiD6a1CHywvDZr9dDN2hnAcJRHYDRMlXQGNW4t14ers9WTbLCRZ82lgIhOW3mG+QW5M9AHrPVcw0isZNrGVRFsLCCsURLRpgPO3asi5LCa372z42syCuoiCnaWnfX6oO/IotnY7TRbZ1skzgVrkP77+7L7RIixG+Z/Min2u4hRqbHgfgRsxihjXwxT9quo3eJfGBYAGXMIlnOI+ibwaL2taRFdsLfneu7y3fW6uhcOtiyEfqWNyYqKkACOxVlTbBIJB3a8fPG6WYb0ifP/YjCXkulxQYCVJ+ETW8ahMtYo0QMGPungszUDWnOzcHL9R/VR6TcXIqFMRi5H7uDC+5i3Q5LQ1Qxx+YJvihE3maYJniDWENIpB3FKAo0yM9q6vlWuaKq28WdCa4Dm0roaUyXrANOlaxfM6/3bSNgbfMFzdrlloVjMnVOQhc3hByDBpKyfGGVwT4tGmJA3EM8iRcrVKdVji2nREkto/evdKwxp2tk/pLChGPuGVMWCPug35L5GekhvLHvorTWT0I3erXt2IHfslT2OExE8aSRFtxK4r/zftVjkt81y1U24Yl4LLuZpwUwumPocCRKTnJ5c8YcWvhhSziC4qKbEjKDXNDpB+jg1uqFCm+GHDSsrqBptAIIwK4F6yliAghn1uYQB8+JyRQpzrVO3gF0xi33QE1iSdUxVlAkBLFXKkUJSoKdICVa1kLLc0F2UBLzOckaV5BevcOi3Md76FgF8X48BICfb6f4ELWzvsqc1lFHGss7eAnYPEFKZJHZFflBrwFeYreb0M3Ue4Ia8dMT7RR0VZnn56oq0e1CPqyaUaXYzrSUeBqsr9KvRfP9NYOB3KknHFCdKShjisTc1vPw2wzomUr3HMSyx9hyyFRJsgQ0XgzDOyISEp6sxfbaGCxElCOOWqJu4FcgVOAl9uuhaEF72tNw4k9ejnBotu2yZnLa3ebBbOHKiA1e/ZPCN72ob/nTbqaTLQj6jMJguhPYf17+fERKG3PNS2pF2sXEfxxJ8bVuV7OxhQnz00VtAs7L3iQZHvtzXf9Td8/J5pBBf50y+Z6gRZRc5sv0VSj4FYN+aO90Y2XmbofxupcykYDA3/Sa3RpzsMUGf/6jiyWVghCchpKXxXMXZuTPpw4H8qH28a5Z2jibIddvOMu2jkAQzg4oR6jlho9fpfQMW+b30+Y30zkEsvpn1sT8sscva//WAF1FYWRLIPl9F9s29kcHy+RflmNolAtTBI8kEAkaQYwWOfjfnzZbRgkpUiXi2Lm1VKDWSr0B+l5yK1WOZLOsVkfP7g8NKwKWg0lY5HgXI1JEgIr19AzZSqecbv4uAGyUWuv7PeOWBvq56ib5QFtpP/jfa21+3sNlOimBQtWh3wh65edQSQ616TrgTBbetm6z9dVWqz/IFjCjfOQlByIgDxMRaA46DOhIKitCvaonnxN4hicIAhFqyCjatMwLJ5bvgIapmeuJv97mVX06JGlobQ1Qfc7bRsSNlt8gsJo2ScCCZ2ZbeW6C1KdHr3SBPnbLFvi6OA/8lRG+9a4uZknn7UBuNKfs0yijgVX47/jd5z1SW7tLrJg0aSD+vF4a4V91YMsYDvcf0ILwPv++6+yflxuP/SaHoJjKaOERraPvUy5JLQ0AW8wumrY9bHlp3R/oUUcEQU1GkkzdD1MvB+4tUdHGRnN0UUB2Fn4l8EqRh0SQfVULPtE2mAK9y7jA2tYdTMIkgXnkR1BQfJRWVtkbvNfcXnHnJZbFbemKa9YK+Q2cqgwWPVfltNrFakWAbQUiqWIeuAhiBU3Ed2QLtS0G189BziLVMnIY/0G3c29woM+id5mXWt03DqE4U6HIKTUFB92NHiGnugIYccIZc0XRPW7eiFIML4U5UePiA7rh0PmJRcnfYyI2PCrrL3SeihveWA9ycoRl2GV7yO+seG3y9c1nmKusQ7ukePj17mKn2HP4EpjY0Skjr35yTCqmdAng1Ltr76zXMKkwev8fHIzgxeW4SN9L5JOzy9c+3hk9z/ojgsI5jJM6BPeMx9wZbvIdVTMPe41Xc7krFZUv1dajbTxzv/LvXuNcpEFyF3ZUdMFOIw3YttSjv0P7rfWcyakAeT5JsI/tBGHuZ9VxQ2VECIw1G4cDQKPUWxDmHw4nFkS+tmVE63y4qhMPhC11EBwHJR24hTMEJOxyfXDAP+8yxSyizkSEx2pSFTt5RKaz533uDOM2S1GZwLiuzxSGzR4kfXpYtdv2Byn5BqMER1sr2jvdU4Fe0vmHnXlme0xelJsRKURSZEdnUCtehZmzLmrW4flCMfkYyBmqHam4AvBQiwLqEpDY2VGrV65HAGxiKStT1OVr96dhP1jvy/fzDdFyoBBDplVR9FQbps5JA5Mjj+ayU39iv7IrJEnx2byTzK3m0i2A0QiKQW3I5W4IUR5zu92fa+lyFCV7+ck6tuIu3wYilc6k1bEFcRHVdpfuESOzlBjejldrwLP+1EBEm1Iayd/4EfZU6A4Ato80lbxQgmXMYwhsc7cx7nuldSw2qTk6hTE7ah7KipqGGzyZRbdI7GF+VgFxGyPEIOtB6PUqwNG8ouwfXMTWujJl/51Mwkcu+ZErSuzH1XwIpbpwxqjrQTLyS5pRU32nevTCn02nvy1kOdEUFcGa2nWqACMt9988qugz3n/npoWTq73yK+i9q01btUcYU6IDjGDZqSTjknYVw9HLGHF6RlVpeyrXqO625zgSpXuxV+DZylhnNg752Xrsmwnc4iufbfujq/Ac1GnIAAiWGoFXniVGlUlERapPYmlIGzupLjQM1mbcIAmaEkmnXWPjePRSUnwmV3i6Dd3NdPrhoalVfVrEM9OVifVhcXZXXI+bBzg8vvT1QXGf1Sg/N8bxOUyTreAFZbh9ggGQc2wFK9kLoOz5u7pB4VAgOT14sMPcDnyuTd/CLVzJy7c8Xd3pPN9oy6k15CRvQ81dB+HFaU8FenwPJbIRubQbePLysiq4TR/3vNAF7HrOmlLNqbIQ9AdP6iEDqhKRbX1bL7oByt8CDlfJRSdMtIbFffanyBVQKwDfTn8Qlk0M6l8C5hn3jrj0Gga7Nsd4Cftyo2F/4PPIvtYZhWIvvT7BSWYH4NhUVy/WYOfubq47Bh0gKRFmpoOEiFN8uU/1drjRpjkdaLnsgw09Z00QVWc83Yuzy6ME13vCTrJiyxPp6TSKi9fbnlaGR4XiXoURL2FSGvVCbi4CRzsbKVSaXrWX78fUnpfG+5FQ4Q4JMCnYC/Jju99/g6tzwuYUzo11GZBHfezkPcqVKomHITqQA80TA9AXjVJ9wlG3Db3y7fE/mhaZaUB3WEpGLrozoeREithHROKWLt3WuY+s4+ZBD0hblCnfBdr8XwV6WmxCJgNfS78FdCXhSCztOu1XsI7wLjYDEMGM8f3O5IfIke2AaukHiIhk5Arxz5HX0g54WqtzMbh4JXP33N9CP5LIaFXvTDAZePDahfxBF3MSfigrYOfqqt4Bw34DHx6VZXTvFS7sHNghBtlgB2Uax2vCwTAu/6uz/OZYFT2CTUJ7KyNfAo6hyucyVnVSXvKHME8iloecI2XETbuVMrKkJLlzl26PBiPJuli9toJ1gG5H8y0waOeK1dUDjWalxmi/1Huld191p/2NswexahZt8PnlWgZYM4dPUAzWgMTfuIbPXCxh2+6XOsQIkmZ0KBGXVSXCmYsWhHBNle5SXCCVD+RkuVRFGPVn9yx02x6towbAkTdRdxzedB/JgGufF4D9iQeTyTq43xoC/NaUgcGOssrNxthbYXFUUB6fCyBkeMJOTGdqOXcQ8owGmmD8JwhcHWuAVx3onr/SIUJwtZ8baEn48f1enW2K36JQ3fMiJlt3MH0jQgd7R74kXBR01nOz4xnoi1OyyRadI+/f22fxXowvcAJFik/FkKwuf6KNpGZWOnVGa8PZwwv2VlgCHIoYKoYk7R7s9HTFYkslnJVf6FxsYAJqFX8SlBRSm5y0QqIk95RiZSvch1emmPofkIGiKuRBkFUrBPIxbn3TpJ5sKlKNBhcyVU4T3V9S6jtTgxxJg6/LgEoxnnKPalMT5O94MMV3nIkPd10CQZRZm7JJrflK6R1T4LBJbvOxaMkcU1UFna/vAQU8ZbiCPSsYrg1CdR39rnLWguOr0uUcCgmopJ1QPiZEcJ7R7+alnLZIzOOI/w2TKyBvF1IZy2HRMPA/JwyoxqwTSMyKSCOUD5RD1KpuAfnd8Z7byxzcsKD+oZo67ZlC7wpiGfSJK+i8q/8QemkJDgSPqWXkxGU3FNdLdGEfLGg7CcjgeQ3/rY8ClO8pqf+Wn3HFDC4WY3mCmM/i9NkEjda9LEJgMUx8B+EF++b7ww4XqUiibaTNxMD33HWj1kAn0HEQccD5AkIum7Xtjbanf4sLmW39bVuqGwJi8G3U0S0LvnZghYxMuJk61TD32pCsEMkUJAKP5poJHZOBi6L4jQu0L9FxrWVsFb7GXKjNdTgxRRvsMfzVUKtorJIp45JrG64i0VKncJvtJChW/lAmDw4vi+PdHQQnOVrXOldLOdonMvKqR3Z3Lik2UzHEZVnSj9lB3cJK9+kzyZczVCtXzvUfcGirOns8yAnO5QXrsntm89WqyUicqtpp3WVKDlL+K4aZ9CJdAbUblptZ40nz9HZOGmursUliNyj7Ctr5/8kAFDdybJWuExGE8VG1Q1KEQOikENOzBwykQDq3+JsZYFHO6fpFmh7EZ+HHJu55u48EA6H/P6uVDR0emvgUGfiX1pUxC73S6kQHdsV1UqNRWudQzAQFuDTv5fsZDTP8cGPSse0fuQ3kH8m8nm5Gt1j4sU2CepuACSyCkxaFAIL/EQPC+QUbK2XePA3huzBfNYFFRJuLP+2cL8aEJX16P0UrDaMTtE9D5vnYJcGOBEM+2a6WOTtqBJe1YHNwebS9KtIgto1Uon16fh0iDKzwi5E1AorSLhldosT55LiuRoMMsi5KHrR++MNZBJdo2ckRuFM0JpOSXyZNGup28PZZ7tET8K5cJW1c/B+uV+lIjL3e8qDg4wurIxxEYnOROfLNVg8po2rB40ywqPwextIsuxGi+yMbyHaMu4dPBO4pY42KuxugV8axiKn6uyMi7wG/BNN2Sc7iAvnmbZWLuQDtThx9QW5MOfoMrnut+r/nNVBfndaI2vKQH5bLgNrcl3JsV9mbaiCHVLUno0Nm9uNUlGpQF/Chg9CIul7GEj6OIK0UwBwTrD13EzwfPLHjqYG5OhR26Q7+2EuYo4VUndPKOeNdn3CABEsU/gJQYGGJG0d6hPmIMshH3nlbZYVtCoBzcb8MuZrbnJ09XcQOz9CfbHSmS2Sb7PLMhpaGlrsvHDKjf1KymsBV4QOocFN2+NhtLdUnZCCF21jZ66PDv47IwBf+EMaYet2McIqBo5ONuSyE0AJU2920veKmp5MQ8SYpIjWX0W5c3FssLMo0Py6jafsg507s4CPWh+QKlrVctfWVTNP1HchXJG83gO4OPRCblXhwv0YD6VVy46a5gTMcHlrSzYJx3In41/0wRMNOWF9q/kGW/DFYihmKAauJGaMvLNhBodgGPzY1iNAV1wghoJ/bFdoMcilma0ll/2RndIce2BvwftJGqqKxvFaGHGuSPPw2LQgOxhQar9iig0OxqdLYqAV17a8KcdyV9o5DV+RHc8Owlrs5qzJJMS+ADOASIPbuXGkgAKQiw1CuXR9PwCuRgAmQ/v8+qbhkDoOvtT1a/B7efAo71PXOd/6FGp5hp9AcqKoEiaPx+Y0wUtQ4wkYkZd3JZRy4RJbNJJlNRxePuHsl/bUN/5c/bAEW64InYK7mjwghVADO/fzx8TZziLYPaQwB/Q+si8VFaBtUkBxsIvpNbNwz44nkqe005N8Gubn0oGzrlatJjXgOLoo4ONYF6wANBlQGwVLImILg/GxDXZJyNYUzrqOVsDV7ED8mRfgQDJSFqzUgC6Z9PvDF9g6nclAQWeXrc224JSbP853yLwghGhVTTUtRv7sQ8+ZL/1iKQhbUpJbpwqSzoh++1B51noRfnM4NnbJh9Xnn4tNp8RD3XXdTBtLUmLF2iVeKjSSi4lwDE8ExsKIrNDJwet/zEhDcmRxSULC10pAu9N/WevW4rcZfSzFcU/8J5K5MWgIeR669dghonPVze1XrrIvTADongyTRS+v/f5hSVmt2fhAv7nWqbzCXIWm4e6NzeWVVNASx+LxskLowCwEbOLSDkQIGNWH8o5LIjX1XAn3DhmrDcHK32NIJLnT/gubB77gxKV2FmYbfLDYjPL+XoKEzcpV8dmAjiwzkJ0zxfAy+OpR15Ukh+xPPIWZ3a+7g5zyK/lbtA1sCpYy3FNNbjmld/udhCgIIx8axzNhWuCI7dBk4n3MuixJ0SBY9PcLPkzNAsU/K9E1MtXYYvquCJWaf38EnJN2VqlpTZGpnD2nB3Hr3XuLQcwrf4dELPAQeLCY8vuKGIaGpNKlaJVnh86YAATsQhb8US2cfCtOU8Dsl1kK0U4dRNNZGKWMGKKsICVV5fwvvM3wcpzphj6eARKMV9GbjkqjNCJlyViW0deW/iTbaOkH1FnUfsxjEElNeicArRR/gkF8ZDp2H6Y4fe1DF++Un8LjRxRDM3yqpPxIppzM/2om4ERm3ba9zttLlKe8DwjTmRfR0S0aC5KKpsiQJGjrBNIqc3dfvqTWAezNYDAWVnZceVCtbv7lOiXP7Jz0LdYCcMRcMt9f8a9sFDkEghHq0D04fw+cLu5Bx9A+bMjvnDgoSJ8szofZ7UWKFiUbwLoTMHWmXeSahSRWqWbHZ0p7EeTvk5XaMdvU8bSoTKTNMThIYYu8bGFPpnJN6wA51gA9DT3j2PTkFxFPNjI5ndn6YYcTE/zFcQ/3HA3rI3OJtSPBWxw6bGMHOp7Y2NvIJmSCPLKERsQ865XR2EklCZC5wvtnvnSbFWeOf+fUAeHtmJO5bxfui3XWdlbbkvd51RpqDFeg17A3McfITyr+xsO4iGWuomGrhSyGJz6ZW0x6vIuHt+9xd8c1KtpfS4xiBhx7owpFquOmGsMWflKLrINyj6O5lafMfk/BvmkIkSoNkFhXXSf3Pc/1z6gAyB1X3XiA2J8lvP7sx9Dx5926eerUMzCRjVM/anhzzCccSGbUGdgaVwWvdsfi9goKnfshI/go1RUJMOT9eIJFLrzOCR0pW/uFT67fkcsyLQXZJwzWC3xvBA/39EpNToHP5sPFfrC/RtsIUK/yqEq0/iDNkVvRTlYYnhhL4xgkEPp6MWDN2+5ceoL19V6Opy6ltpBjaILLd0F/0Iqrt1tmps4nPoOK2qjHB7GRn2ArtfJT39eAPOM2B9GLxdaf4aGi4/c8G95B7Cfm9mQkdzdomdF9fD10JWR4acubeLEDuyhhaHteWngIMcCHTVhlMnHOCJ9WgxWXIp2x023o7erKvQ8n8qkDf2qFo6cUc7bvSZ6PBTWzNAaiPEYQ6Dpg9yW4k2RQKVe1mJtLfUzQv8XHmv+N/XjCZORoS7C9pLF2zlpJ76IZS+lc2mGZvZiennLdCA+oEH4boH2Alr0QnLybgLgcUrxg7wEz8jh1NTsNS1VkMxDAe47yf6UBHqOD8hUZZyEHdYoKTMxzrjrij0PsR5Ul6w0xo3VwoW/qWpZelq0QAXZqV3HSuZxtW9PxRDxJIjkFcywGpydZYD3OFiNzlFrkf6YBzMe1D3GskhJb3nev5LfEXp4RhfwmQcTRoAadtIPc7CqC0tkNOLpOws03HnfQqv5s1ZrHA/GeBgVaOAt+KCm14FUy3HsWQrmZXLQqhQ1t50o0Tz9a1HhEZCPm1ZZfrAzK0bG/8SKNUZ7IkMffvfUyJ0GyJH3r3hMYU0mDf7/fOph2KKC7Ck1RQfKKCU2OGragLkXWubvUdghTFfuRrTKqxDvVDb4DqKOHL+TPJPnVHSm6DXqdp67JPrdULMXj5k+t8DPbXxqCSCbiYzBGIJipUJGxQvz3my3LT1DQ36dPq6QOAlUI6LL/iiFtmYUUzNfYDm9Kya4JHOh6LrNa1XUaBt21j90Ch37LPpwl9FerFwJeCIPX3u5JImzKSw6TJlzogKmJhuVVDapZKF6wEC2y/Ym3ZxAT4M1SxgFOn735GDIJxJcvk1U7d/2O7YVBvh/6BpsDGGBtvj7cW2oU94GGmmowX8lTWcwxccPTayBkZoD21qh/7/Uz8AmGV31mMFXgidVLmU2tAWKSa0h0WX/mtGTt5A0XmmCee6MMLU8ELaBem1P+rmdrFN/rbLulpctL3VR0XEimuYeurbyZjUlIdSYksyyHgujDSRPDE2f56R1GrhHSYzZtWkJYtGOVkGOxtzKwnN+kEx8n1q1UH11UnK+2+WL3ILJUCJPOnubshXe9jFbLB4UaSitfMmzzh+qxRMZtX5O8JWPLMGrz9MLQIRRNt5EVrEAklb09JbkN8zV/RZ2XEKWfULxUnu2AAJGGjobaIJOFImOSLnwAEna/TgL4yPzKnu3wpdoDq26pubX8qRaU1xQrnL+MDkpSXSQ6UM1n6NA38l8sLU2FpLJLnMREQiFyhBlrVrSjmqzUqGC5N5JejI5dbsKDsRegBocA3V+W9lyW7g+qRbWoYbjZ3aiZQhkQjXwRamSQIO3G6otwy/ugcqpINd1xGY3u559fP2xXu7gmSRT68mJ35YEguHVgcedrMJcLTMk8kjVISKv9rQUx5BRZbOSt1LDkMSutZyDoJf4UmpC2om9IOKkek7Cc/RSJXgjCy9pGH7O2WjIHZe+5qq7y477szvbBzUH6HwQPRygFZIUh9nLTfFRT+xykjzKOmEZ2l2i+01eTwrsu4f6wfKqdYNaODAb4nIxcePRuVq1k7ZnZMs7VndS+PoiHmWwOyQ2a5i/MdqGGbKtW8k80kTEoJos0+QqoROs8YgyhJBcoZW65BAxKtnOCVTo81MZYssMgmJvtQ1AyNbzGi2dgxaWuQJcYFk1Srrj5vweCw4iiGa90mHYPuda+4PVXdfpnzDzNVsG22AH0/kDOC4AxMcFPU878B9cRqMtVxE56vdhVX5HgI0X6bcGlknMtn8BlQqAUmXWQfOxxisHjBkr+HicRhDIUbjN530+kZWdVcZHJI5bKCJUNLn/urWlGQlXw8EzqVtsVly0acxQmMxK7LGGRnS6ry/gcaI+FPfDkAsRqZ/e7o4oNw9Ykl1s8Z3VkS/O83xWwDRwbkjrNDhHlJYGnBKYeCqWEdd3V0eHfTIls1iRXJbyhdCAw1e1q393rQWb0m607f1aWGmAirt0xcgP8+wM8qmKNieqYsLae3osp92nG4Lb4b8FrjBuvo/7dt5VRGer/hbjn3d0e+BoWxsUrMRcK8qkbfazb5mT3cms+hHbF9zCaysfmgw6MnFLwbZ8Tw0uNTAcVJDBrLmygeKWxZ+hWTZMcOAnBxYgZiKDUJCNrwsdvVZxcRPKRjy5YIgNCnJxGI+P9P3i/cAUblJ9IT+bI11aLgUiC3az7kiS8n1u4GuaCe1cWxZLqLPwyQkxxaAIgHaANPmPQjLR50mIS43IznRO4c/lC8r/aGjrqDmBTVgaxIfWvoMRjJIFFOWjX2VqEHvFj7xINN3lvc+yH3fpo4Uch56MnXrEp4kAAaMYbktJOYEui86FYKk+4/kMah30Q/qh80iqsVfpvc+D7pIQc37NvTUhvd5qDC1BD9NPsUAyt2EzzI9pPY3K9ZaM5O4OeulWsI3Oupxei9IYn4t2ytCktYpnL31UzR61p12PmqcwTz8AmhfTtKqstxBB5aMaV9H/93Fuv9eN1mLzLD7B+Mt4HrJ/u2/aHs/cZmHz7kuf2WqqG/73yTK73iQ0t3/SS2SJjA2erJW+8na8/skxc4r4ivS5RpThbekW3BZFO06ELWz7TcTqK2/eWSI6fKUCnLYcT91Win4fhjUQux9sqVAlBPCijFw+bVy2RwsTWCK0H9vn6HWHo/1QSut19F6wNQdmtW2gQrv3vslIHFB/q+Zti3p/pXyjQ01mdVUW9qiaeFmC/sh+xxoIfGOQOZvh62aKRf5BCHNoNv8ii/COhwP/GDHRPaHYYbD8aEP2DNWzlyo3yT2vaMh5GdyNZIbAlgQqfuvwEnlZlxirvXcVoZSbgt48qWk8C086DZL7mP30A6kr0Vh4AQ7MM8iiM/ks6zi+G00YgEoqCLEbf98CufWJw4p1ZEomXpX+14aAp+ytP6aLaF0KQz3UX+H3Sx0bGvI+2t8pWXE4h8NCEvyNvooUtk6dMwQewsOBybMOSfFgpXOcnwHsZxRXG1I18hGdwhNMt9ftItf2zgyteG5BeEJa8v/rfIFjZUSi3pufzKSmmnz3VfVk3+Gn/7RGPjmkPG5DZb57ss64atkw3g9YLNU+uMIt2dNtV7uZ2zf9zjyz5aT1MJpVZPylA3yhdINl6vmWFLJLTfzNlvHPibNpFhUgPIQ0EP965l4G8zL4RRX7+3NZXo6CoyNoru8hcr+mBBzHINjM0wnwYzvwSQAhsWNnLcV8VibqD9JhZVAXVdZ844NJrEQ8ADKQJ4UMCvnHk52KdiYsxIzSv+ZnI00kE4o+i0vrcDzEYT0TBwAIAhcfM5AAALdBry89SmU/m5T3mZMICuP0LaWPkEDn0OOrKHnF2e8jM3KDBJW+pr9XEKtF3NW95OukQhN6OClnGJepmV40K+krFGp0229nYkAVPAg4w/zIEcgEhxtB3Rzq4HomC+LFt8lwdvPmITJFnhl5qHESvb6MOp4lsHKIyQq5fg7LcNkIpncmdKpozRHY+Ww8ByRpR04WjLFHAe7GjLv710FUsRRr0rmIQQkWw8QpPAujKU1at4qz4B7Gu/oXU05gDal1I2dqHxsnAFMiOPvEs/uAI2nftL9f9DzwGt0EF15tqSdRoM5DbVj6dSrirXmD9GSCJSUAsAmHrkeD9Cf4bIRKohAR4fAKdyx0XOECiC6zHI5zcT04JeAm3wQk9XwNnUk+swkJNBXn7jvWHpp6i4zhBvRaxueAqR18wQjVjVujMl4CoiT/Msm1ETjcw7DCptOd+CypqfQzMweRkU+IFxStX2nzc51rV1IkSWBk5zvRQdiiwGR/6O9GtpL27NXLESwaTTe5Es3p4IIQkA23g6zvbI5NfhOy3xV/6eEVoHpsRxw2Q3WuSoPYOoAbCsJL6Skph0tXlNRSADErtc0MqsJ8mt50dvnQexouTvY7ar/tckfpe7OLO0n9gYs7LStxk+rkFwctnA5xrdEI3VFHY65OSo/0ZsVLVh7kX0kJ6LwPbzf1GCD8DJw6/wGqDVPPJiQECAV2VY+UikGQt+fowMCxrm8dvRs3mMfzIgRkMSRLnRV38rETm4SQtwOoczrJ+Kwi8cq39tgoloNumqaslPErodFNv+6x9MtsU3rVdLuEWL6a5bl5ZUeI7Q7LJUjOI+Dkyy7xkWqOmAlOsQZcdQTHENQb3akKexpRmn0TDwr5+E3osppbch7jsUQuYf4JSM28Ea5qGwaGs6oNkzOALKbAB0p2MF/pcGHgxmtR31Itvp4PuThmI8g0FMrUjpwt3DzNZHvd47HMW/9ofeHHMUpYHKAVdtFRsXW6DqNMllCDUpRJD/mAuOuTSWZA1ZJVOLj/ruEBKMxcgB0OQvNWMCTOV0s0E5UdWeG5MlsBkb5Rzv+J7smkhP6uTVjAgTMY0jjrqS0ypFwHJwGigJYBwvBfWVpDunS4CBsToLLyVRG2pZV0O/6N7F8x7qcveUfaTJq7A6SD6oKUVE8kKgs6qvsZGLUM0ISymvbUN3Kn87NpxybAh9SsU7kC8I55P+7XCSt/HNhoyR3eJa9uVZl+S++adIWyWpmPAoxrg3hvcinDnfDxEo5qjtheEjMGhrwu9wuIIZDgCoI4DIXa8srVn9kRlo5RERSIVCSCQ9O9tpaJvCbMAu2NU/qvN1bOaqi8XKIgAHQaZVeUi/2zsCJaRyi8TajLaoCa95F8YIiI10Rb3sfOD7PmhvMW1DAtJ5f1eNTZcZxT9MW/lfggJ4YeREEltnnb476p9mYVfRH4Wakq/Z9aaJdqhKc3ljDS/4+Wsb2m2xg4zA91r0a8i2yGZIwpJ+k8yqwy0Nuyu6/H3YBEwdKCEdO8v8MAhN5qXHUAOgIkW0YKTTtvDFnWF030dvEj6lZqRMqy/uiUM+Tr48p+kF3eEz+6J77MjZzcJG9Xo7P/EZXtDJ8frmWlH+q0u5A+FBLB4uMNSzfBwtXmYqhb5NIWyWunGlICxTiCT8k/e4hUHQn5l2zhf+S0Cq4yFfnfbkGBHoLfY9mgp55rIb41GuT8rqv7v7lmVvO5+rJzcJR/+zCJUQvFqLifhhAtZCWmTkLtaMUss4dyrGC5x5hdUHj4DcfbUTQq2NKj8jWtKYohKl4hxdRwFfMktOH5GF3anNMAcxUcg4uNye22etCTKjVYQorOT0sonreEfAPBUaIFOGY8Zm+0ciPVOWDO76kArQUMJ1601lMqsrbhS3Yx73QlDPTRFKzF62JmYF6PqqBFdPFEgHY3JuXPOf67bRd9hjHqOx/xA8+SHE07dLpgN3aTCyYtBmShaVkw6al/Y35T3K08fU3+2AkFJQS+8gIdCDJjVj62F7VKaj4XdJoszETTxtObrtovbsOLtdNExfKz5NM/tk0ZI06jmNh9cNyMReJcTwfFs//Yh5Zl0+b9d75P8luqVcB7PKMVsxiMIrkk+TD8dp14oBUCWxqcxQ3NLFgwQ0KWgsR75PNwWNfCx8h9ppp72p2+tDIoNar/0qkGJq6jcXP8WZw3AGLs9jcuKUtGyPU9DHixIygn4DPESIFoBaUJ2tGOreb+wfLO1UWp/6wKne7PUYXF95wV0cFkT9g4DHojpruiyxQRmdEJWfFTG/MY16xQdJXKrX+m1+rbvlaUUapRSqzUVVedyPwOCle6jLbFMLHRNHajH2Mlfr5Q2Gs0lNcw/PNceN5jXt6hpfes1dTzCfCio/1f2X/1t+zkpiUC7O0JxFk2KPLRf63cu1DiThazHQOq8Xpn32owgqHmSXipL6Zxs/v8LMrj1F93ukQ+3oFmoFVbKghgAVuS7Bw+0iot5guSf6eNjeNiab+sUEi8fm2MDzFo1xYUesi9tnOwfYId34Rs1GFKNog6iiPxS2N2sjDps7rrBySOqFqtrSe/DoyES18IDNwCAnaWPnalPrK0iCs9LBuLG4h+YYzaZbaYJbMLExJ+Hl7lvCcMLZn5GZZNzo4EVafd/HDbA38HDkSQ9JmQD1cXdduDoomST1umnXIUzD2G2HboTe0Uw03+fX9QnXVCbzTzg3zOkOs6NfN4ZVlWTiTjUiUSV+8oa4q3lohbmV0nDPegDkX1DWUjwlQ6ljjiSrxGJa1cAi3MCm0esgsebGIauzNd4l2SEtlbPVfG+JS9DWlgEQGi+ExbSNbZnW3RdbIGmaT03mOtmhMpz8OKOl7rPv8FeNcx7uZUVHgsl/tCMmRunleUVEKUz4SmJiZ4xGPm5VQdmTFdNjeV0Yf9Um6/0ynSQdM+Agej7QUsj6beE2n9WvhC1erwJMFcuSO92ubbkjnz61P4VG2775BSDYCYduumVW2WQHjupG6PaSIS1awP9Mldq7/t75luVjpMRu1XiqU4iFNKL0X6qlZHCDQHwcFrWVkKeWzsOgHWbi2ToPPuz4sABKavclV/iTdH+XX+HyAVRS0XT0kczvx/x1jWiMBSqHJD1dHLFNgz0rXbW+pmNT/KpmK3N1kzZD5PRzfoLWwLjq5saFfew9N2dPLF5CdmJxumjpEjn6sZLmBJ7Sb+uW7oIn+io37CJgvzrPmqDYl0hr9L5qt/1QgrNd6HXqsRI2/qqy7uRH4iJF7lEGCfjo4c7GnIZQqEP0l50/Haueof7Zdn4uPZCs04PHCizvfCL0dJVZ8QGTIgjGaQMKztXWEjSHGbr+x2p4lLbAotDUnoj1GfreUIBVvybu2rbm7hbmD9L3sTY9AxwGutqgt3VNUnKS+RLbmxeNeyaqOtQbkcrv/d2rurv3UMA5k99ZDWFTAYpoQxNBtFckDKsiZLj7HrjLtIqK2oJWNidjYxTgyNGZMdVRiatrE2a4aHcEHSIQy5nE0qHsk7HQb5VJgvWTtsePlDZjnmb2UcY88m2QtXYiFIm7HboHFXvqq4dmD6msg3plYIj5DWDMPXqioLpVZeLtuFi7vSBA2Ak19UQ77SuhuI6TLD6zpo6imoNWF6OhwWfZwKWtSYK+585DD4hAacSHMgoxY3JrCurghmEe6D3p5kuG1zjJzUSpPSqeijZSFMIDc8Ut4R0chYgL0Ol2dUv8nqzCcxrcjc9hExt0Uzik2qoTqsBhBmEN2wjjXhLARzdXiT4YTK2WwQhg2ySOdc6lEfN2sgTc9i/K58hoQua+9uFJkXkcQMkAzJyPPtOTTVayoy2RdlZaGg6qrTTacu+4RRYsR7oaLONiW1swySdbC3PCVyokyYlZitRLHTtnaDHTwi/TVJ9Sgt5l8ict9spCS84K5qDx6U3P3DyvaRyWwn8ljJ2nxBsmwIN65YPsGDy2VbA5RE054NIvnEFhHipVBjit71FCLOlGs85mRHC/9yNH7H+gt/4M0Lm6MPrylveNkBRWCm5FYzpW8rDdwxgKZC7fgHWdEFcS2ckLsPPi3zYIBKZqfMWTkrLJ2OTLFj6iikGadbfmzn4AG5Whn4VZ9YsHe57Lww6qBCzUFF6clA2zxR524GQZCFklZaYV9vPCIEzdEkO06e2NdxeXV2qzEBpeY9KQP0ly8Qac9bernAImmwSX32nBhzeNq0Z6xgWLC2LS+U8wO0ay6xnmUDSWge12NhbWredxjeXh7JVEpadIlYoTFrin6bp0iHYvNsBckm2YhqYyFfu13shGZnDXN87aVNYdLEV+X/fj2m6ut9bqaB8/XkYNbCMOrXci8/o87DbCI6gUKVR+CTi2RgELnK13gwylk4Mp10FxTs4aH+0cw6a4H/OoTlg7lIxrEtSaXmCXYsaqQhVQV12nha2OKCvNXsRvEtklnTNecU/6z9pykTe3Kb6LFDFb6Dk39jCAox9c7+0bALlbSJeXyop1w/9brSIeqapJMILczv85WishWdvfvFcOrgeodELQ+9cduVJRkyVy9+oNNCfr48cmN8juR+UZYKVdzaSQoU5CSYs6Omvhjh593GAzAEYxADfW/lsxscr9+QTSW5FA2FUOPePdC3ke/fbsujUIJo5Of9GiP56VEiXOl87ar1SQ7H9CZeUxEV9aJ5MzOWfRHiewyHyC5OBYqUMVITIuJL4IB8j0Wx8grALdnh87uRGBVJh4T6Vm6NbbG6FUgBCRjYds2p+AAXD1den8WBTguj7UpPDlM/08gKjWCv+cVZptNUrrEraDwJfcDDO6Ez9KmBBW1yNUHQBHso2qHDGwBQ0R++fUxvl4c/NLR1uLFi+6TCh/x5gMXzgESd+g7T88R8Sl3dsHQZ1VO9w1GZGhxxr6k6AUi2mHU8WZ77F4fKsXGH7pcc8u3+k8TXbdtfppPs9x60nbsatVW6p3xSlIgVUXNOZQVuz/o9+n+5n3x1wHa+OOXBhFoJaClZdjdOMU7aUeqCcrNfFkXnl2mS5BGCXFMkFWXjXXM7yjGJ/113qT1Io4x2UxEHoj3LSG/W+zESVFp+YuAikV08KSa1MCfyvooEYhIaD/pmf5/PtbncNOui69KOTYmO28W4Y7Xfn4nhkn09utTBD8oxXJ662Gc2kXEU86q/68hCmTrrzoI6TKWYHch/jO5V/5xLBS8/mBgvlwXdFDLyrmlQ0EfBGrK7iyp73MTwtqGMaVAkNpkjXzUW13YK58GLZUGtvIewjh7Y08EXoyxEMR+tq7rQo8R6Z/l3VFUHxvCPqKPbIfVUWZfqJUEk9oJmlM2wxsJa5ZtpqLdBTZvujzUQUbEWpthrXk2yQCrFKR5XUtaR9Xgx46lODTN6oo+cTojtrUwl4vwKPwF/xfR9ksNlX34yx9m8YOPoZ4sna3fYDTYMQ1kK2gN/2/H5O9TSnOzLAiOfqEg7knAYHdn6wQVayYfBVa5NsYlIkgpHMMfaUmOH8wiPKl7JoqlB3iSdiacor4SsJN58fU/xkqrE2CANnG8LVfjTyif/GKXpKkvir/F9wGjezhSJXVOXaZCE2d4RpSPihIxEtmsOEfT7YS83Ti1V9GbOX8XVChm9793Rq0GGipD7CtocCRWW0BdJ5cgnO90NSCR2cbuGW74afznh8u9fOGcn+v0g3marQQT4nIC3akfaFrkor8lqnxsreQIzWV6OqzmTgeSOCVH9gImlgcUjCj7F/UUjMJIvZH9eCnkdkA0fVWjuPO+YmQflcuMGEcIA+ejVaOSc+9ER+kM6HrNShrgVYfMITQw8BajLQsMGzEsshOsQt4upIETMR21dK4S4YL2liA8ZwlF2AUHp256H16XLLUQra+/t+DbuDxMD8u2Ff1h0c2hOjA58qKBmdnSblLyX++5gjZzR46t/SR7xx1F/EYIXFCtPlnLOJEsZvzg4LUS/Yy3HQ9pnM9sz0A5FC1HYJH25DqNRzOLyTU3jgg9gFVWXENBxo1jyNQ/mPAeTqUWIL6k1/ZpZVDa00gJ4nkaGpbHbAR5TGYMn5jSaDmK21X/60d1Zf0raktjXnxB6jXBkKvL7xqA1JhipS2zO5qataDU88KcqYA4vRy9O1frQkrwlY+8J9orTIVOssQ9Daa9t4CjqelH2phUsFBUbizUOTvYt7b7SIK2ecul6QU7Upk1yrrbzl4zmgwC3DlGtpdEC8KRuSECTszqeRh8StBNNF2NTuWUz9jiYhKYUTmnq5T7n7M4IZ79dUtKw8mU3jshAR/yLFc3uGi2M8L3NfPMBF4KEU1Pf8GbVs5EKanaUmtYf7fE2tYt7zMHQpNHomTbewaxl7uTWjRFADcYkIhdgXIgps6Ht/vC0kjfXiRkPP5gNWYdnuvxvwWWzZxClLS2PVYKDosdm/e9T5+/4MpBvnmHpDrIs4y/JMYGG9sYKfKDzpquxQOFu8ckiWPbzYO6iSc0X13ZVYWaU7mN1jfVZS/m9elwmg9cY2qrNb2OmsljaGmUHc0vulX70NScBxwMEnGd2X0v91q1qNj3uIwgYz5T71c42gWSBw6nQbACVM7LHhEkJUvKgHo2FsO7L1btXZjhrFDGc6S1eMDUQxQ6CdJO/A7+xCWT33vbOg4tN8p03Ayl19sRu/yYPN4a+eiJEzI0V1RfQdmH2SGb8dGy2cybV9jbHDAC17DI9m6U8a7P+yCSbgSMdAKBt+ESVkXZJ15ObAcBkw2R1V32G8Q7+2uQoIRtIW/QFOU3xiAR/gVSEwprQRvOrZnwBbD8wJKXZPTSyzCHuExpsb08jVZIkse9559IdVGD5OJq6lB7xMzj4Aa3O3omZ1yUkh71In9wGwm6ixE5Uxv3X08zWeKzo2CzZWe0JKwjPjWp55tYqhIBVmcoVY2oTZ46mGC2rarWBqdQPhCt3BdswrAA99sE90hNWFyV9++SWSR30LlsHBdA6J/x9tRtX3qE8uG7KVMy5/seWAuh3HuNzcgk5ctpf47qnhQaSYgFpL+rQtL/8TBOlMhGYNjMAhFh6vxb1fCUPy9AAB0IfshTnJKKnKWc3tJImtvVq8nQcICWW4GPqO5jmFDFuuINW6tyaMjmIkDqPan8FEZH1Fdhd2dN9DZ34jFhDoYEZ4QaQPR81sFyLlo+ShQqk5nfj96SXyiFZkqBcWLAqHW+4uLEV+bq6a7oaQ6r88XFzCnsC7llgp4jjStDnY/Wl6XHFHjaR4ih6TGwgaxSA0Q0m+1DMXuPB3pynNO+c8eclVWNItmkFw1TDxDVDONoogUkFU6E7yOOcG4rpQZOPc0RDm2PRLRda7zvl6t6Z1acoovFd/oipN6TOxEjcXnsEr0mpp3/mDeWV86PSPr+3pszMRM7lsIwMEsDY2DNOQcG6gD+WjOiL/Od9Ie3ngVfWeBNk7rYQhni2+reHGzep0Tbc1WC8bPhSPTofoylEKpnYTPncjyovaCfpWPFKq0FcFMaccgOy0SnAJYuiFeGO9AIAFaIbHDJG/jUSNIl6P7YCJBH9uH4WVle5PRF7CUOiVYRrdujdgx0hmQKv5reQbENouihBMTPD1KaoqaVOjhXQBQXGITcLGd4Evn/14G6+JihEdiiIEM+Gg9NyCCMmSy6qPMnB876v9OjW8f0/psIPJk5Pp4b+F2vgZhb/FopQC9psyLovvaG4bTXi408otcZKRsd1twD1DpNqYv2hgmOLpVhI0sDintQGKTmXWmeFTVSPP2J1T1DXvn/A3UA9Hv1Iqz6E71+ASNUhc3XjZ1gYKK6YGkv3zY/N2MwD6JXN2aj3hoSy3Uy4edO99LkURH5MS8MpSpHQp5XGy8xBzS+rSkDoGmIb8eSJcmyj/Czgwnd2Np1YOEL1MHe5OP1OTtLlN6P/26UeEULRYFlNTmycBhlU/iN14DjdVOLRv+EFR7H7ObZbh3x6vCnaA7MNSXCwlkviJAsWmzozX8qojMnkjnDnVeUwRCs0jgJPXAARmx+dPY4OXCWzg2s0pa0KHUqfsWSjyvSnCcq/GnLjtxdZN0hcLe0XwfA6zJmft0L+pz0kApBQ93vuyXJmtGo5DZn97bieXO1xOJKQthf/omHLR1U3pO2QiTLRnO9tEP6DeivLY2NVGv1Sn80EBq0isCQYXZOyligGmAfbuMcyekLOzcHaheU+DsPeucUK02dyY27WInIRgw0Cf+46bhFrzMM0tXz6xV22vpxzrA/rY/IxkMCDbMT1Tthhgg3wv3VLTYgZzaGsNIJQas3j1vk3nf7eIk0subVkTjekLTcutsrAQktxmTMSgNz3yJykYNYrbDzJ5fbTh4MtAP1g0xPUJfxeDH7OyOR0AsDBTq1G6KelJD15XDrjaZ7QTaVcfY3ywB2NmgKDncgTQe/C2rxejuQbOi8nVEFdq86eM8pzYFVxWimW0BK5wnGwHvru8gWWkaBBzj33T3u6zZaVawpSwWSVFS4o4RHZT5aUSk8wKl0VVH/w4QbuDpy7Chl9GfsQwcaK9+N/KYHfQIdwHfVnMCnj8hdNZSpZ3J/DIhtGJ7bsg5UBwCZPIKx1ZuTtxE/yrwj4yv5NI7PIhYNZ2o8lWFyKPeEHCISKIzwWYIEAoR8TE2kVNrqrJCYDpFlKxAnbr2w6/LLVHdaNHURkp4BU3dY6uE1QJg5wlq4ketDXoQYANVVms/vvD6nOowgPnXCBYgPpeosZ0dE6f067tT8MN9kqClZyNNynKDTedW08lpKi7CZWwhvAIsw9n3pfqz9wHoLyK/ZL22wjekCaClN5/cOzq0Y/ZasdIq9Aw9RzKgl8rbWxyf5EGAIzcbrtSmkHI3igz5hVA3WM/s/sPDH5HHhXhRfcxgMj9FXmdWAwX2FVnSjoKJBSAUThBGhj9zSw+KBYChmuHgPSFlT33CpZAngIA3EOh88DizM3wvcAoM8YKTKNTc52h1hhMahjZrPyln3SftblCtzPLRC1LrSGTxrkXh31uuzeSS+vEmSsOyEdZgO4xOHLxwf93wYZT/FgSNvUlC05z0SGzvOOazX+CgcxuoUcpDLgbCe0NQfWvmEx1eYxlAhHjKWLEz+XS7ejREw6SK8JYKoueisfVe/y2OSJyW3V/lp19GxmOXZ0yJXfrLmsXXAusl650FRqyC3a2zogC26EJv8C57TOQ+WLtUqJPTOwi9HT0k6G6fJVeYi+qy0/NLSdHFtgATf98ldBgoBpnoSwXb/38jChYa4Go4DTeQgCwrkbuCb9j2uAAEC/NSEjExtKn02E4UTDiRycN2D22x04v5NzyNfcoY+d/4Xd4vRZsQJAobEr9ouGmVi4VOIEJczYxN1vj3rDVPrw6IFKsO1M7JXE1UPOGm+2GB6y8gFxCs/I15lyZKFUwoVlGuZ7Jd4ZaX+9WcpMWQ1rw56Anr9A9nVUMmBVNhC8rl/nO5NN152B7I3dsPKuQce+RCsF/ValzL12owi0h3Zpqvizg8yIjQf/notO62YjPYP77JHjAmkCEjJmpA2mlRznbMln/ti8hVLBNcWjOzaS3/bCt58M/OobBUQVkKiJN9bDQTukKgEOmZp0SufcIoHfQEuJ9QOXr4s+qE7HflEmeQVYGbxRAIOTkqTtpMTZMAKMKxugF6OVMUYSsSNddScdAcrfFwyuTZIAGMOTFFvIzdRIW5Cbm9KNl8/uV9SoyWA/zukrj+9mk342lMXGGDnuoI3z7O21B/K8BSpHquW/VB1zbulDeh7IxAV0hwLxigBjrJzW+GdgLBsvHZ+guEAzA0Mn32j697xN/VewUKclmmzJu+mHTeDbuP8nNKIW3WD0feJhxRoqzuK9rpF9Hgo0eSw3kSHqLe0ixXy5s128pgAc9i920K8aICsJM9OfRw38uyL0AEKAqomuBwD+OvnGi4FHkpGNqrlZI5GVL2cz5yZQlhmRPYr0s2tRC+5ilskYXL8vh9WWNqabtkcfQceNNZFiS95v1FVt4IepUNrQ3MnK06WfMsaQ3qqzb/rv6E5sXbQBvL4QieHHJLzX0vwpOqrN5Y0uwIgcHyWeSfxdHwnAE7ndL1ER1DJzgH2KY6IBG5x0CAyH7V2Tjmw20OWWi8Qsvo7SfdzjkdQjg1NXAC+gtXFpr/cHThl/fuY0Ail9sfwMCrbBSN/Ru/ko1ThWTsQk5lboxFZgki7s0+9/qI/m3zHBfrJjs9Kx6vpEJmNqzvYB80OKPoIDnDvrEfjqJgCPSDlNa98qT0TBkd7oFRbmDRGMb9UiR830f0IYW/PouM/QABkvDsoZ032TZakETELVpkBjw3BKXuMX8oR2+s43ykfZYHo6FIqLR3SY7wxE1l47z/HSG40lzE9+nvJMGhfQP/x9D1Fg5PP3Y9sHd/ghfGhHzqr+cBjJ4g8j3gAIM7SsvJoFINfJ1lySpQvfK4MeoTLED8JrRCEl5VQrYGb4uDU4RA4TaTaZTWAB7JxCWIHfLxSLygQHrMQUar1RvGsqWZ3/2NNwSLVuv7ZkiZLxxXJQVW6f+zV+IJdhRQxm/f+TYPnj2TC5RFANj97QubG+FgHP5AqvhTUE05lJc1Tskkn3KXlQnikbbg1O2YEYqQUkcSt3FJVYgUKvBvcsVSu9PiMfGT8z6jYZYbAxiR/cc94kItCeAGWuuLM+I54I91XQRZLIdqlAUiX0G9D189uv6FlV37IDQlCgXrSskq8nJ2rP56EKjOCowby6Cq9ulCXDWynn2mkkC9W0xWXP3uMBnueUmvg2oFnajCWXctDAgq18HcP1p6ohpZ3oqBIafyCvWoR1oEuJmQStm26mgPTdvXp2gvDqoE3wxUqulMGf0gQpMg5uJ9hkUV7LWvTXPJW0x+cvlXZoRkc62ON+v/uHRVeBcKCFZAmNgTxBGQQRzVAw8h7wD5muVbYXxo8l3WivFLtBeNkCeO/d91N0BLXrT0Iw5xvdlUUWsGGvYccYK8BZslCbjPkA0ymjIFgtdSXKGYOGE91bR3Xdaz/ReCaFzBEnPxhe37XzxVmxTb7xoqJGfLZPAU5hCjtWRnD7jywXoRbK0qFWlXtqfk+/Jx/FvOmhKMJfkkyqLjnVqXE5lIal315lQE49JOF1szKQuajPTCLQwqDfzruftNdTIdZpLPGQbD7RfIXCejWW5S0e7HjiwydHBN5u1zPJ9T3xX3Fetpo4nd5sbwBbYhNGwoIgbIrlYTG37uoNPWKM6us5jofl+iDNag9CdFx5obkumTyx5Gtfui1HbXGBCbas0CAk0THHHDUeWrcf5YnBX8EwWSLiPJqlTk68Kv1ExNH2KrQPWyctTesQTGlWz1I5sjvY0T258nwsJwYqA8EKMM+DArgMk0xv3LMNi4DEWr/U6T2aR7gmLEicQmDU1d87Bo3E7t2VFe/keQovaFxrqGQp63iquQHSnGjer3fs1nU1bhKH2OohkZ8t1eRyawyFfysCaqqazp3NgyOa7Er3S47u0rSrW2PhyEAeV27o1Y2SYfmyACjSeTp+nQpTiUmwZOh3a7AzwBXj+axwLVC6uZ38ZqiaaKNMOQbzbYWGUfVetmsGsYV9tiGbVng+zEfcmI7DQjUAi6AT275JyctJCILAJv1xFuCHDFcykNM4evJTUJDyzWQGMTR2bjBs9nGgiWKE7bQNkpVZ+E/SYWOLgDKAxpYja/CaX/B4FYht2ETUFj1W9GPz1qQfvr4rFT01Whn126cU9fUhugp0u4kvKx4yjoEjHhE/WCJ8m0g1zKeGBzDlzEDXeuo3J62s3oRSnm6Nkop5Tr1KAXWjvAN+Ezduje5UQOHpBvuTZeDsHdF4frfV2O9f/JbChMBhHs4H7Jwgq4CJ36XvnmdmqkhVmrHTvgqQQNuse2rkMP9TjBwOXfyNBuzCjPOoYUMM2yyAAspdYXk+CRilRAYeM2GQuGgWreak6LplummWyK1Hf/lj9vbot3ZO1ZMFN/vvXzipRwDzQ2R/2THHrn69wpTKNRp+FcrjId/O+nJoNemFjl6SVFISP180nc1AuszxPsse2dfuJxdI9crPBcXNEZnwKQdEyV6cr50TRYYT3PmRCIaeVmXzRw1sGP9oh8VPsIVHxvCW/Xdmf8DpqTIjvd5SPa203oiR5jAQY3t2ApPp8fQ6iVhg9BQsPQnzgU+hw6uwg/sSXxtG0vPQPFmuOsHU7in2dvVWRT4P4+64E0gKNBEt5vDuAjIM6roLNpm9MgmmvdhIgZ/Q6MvxCqtCQe1XGMgq8th1A4ilzUF5xiYhF0i2TTRDB1azD6IjL2i+QXoVcqABTr9fpPKy3a3aulc+p6mEPGnHdjSWh2PD26qcI1JSTnznN5YRZO7xsiuYAOq4e96tKsZp3FOcj1lCA3NmF7v81wW2dIk8AI/83yHu5M4SS4scwK4kpvf60aNVMyeg5gJUnO1aeJ/rstZAz770a6/u0o2BADFO2E1eN5r4FS994OpASm5VbhgTiwES02DVKlf2kootGhiArcBtijcOOBsVfnjEXzT1HvJWBPa91jDbekUaqZNW+o+1qgXn499HtXb5NDFMh1ZN0KT/C+gDH3UlGp/znaKeCa+3MNIMMGrO0ZgXiIJ/apcUnusRCj4iCdr9+fRtcXnoigzNuepGQFWV4HXs29wtNRIp5AIY8c8x4DFZsFRKq85EZaxIjFGbi0H2W6pfxq6/W7QYOxDDRWL+AP8Mw+utlGP3+khF5nW3Nenk4JLSiF1WSW1ssBccRYl7MPVSdiChKdzZ15mmKRoFM9h0NzIEMYAAh6vvoSJO+KGqOmJZmm78wXlKT2z/lxXPc0p3r7foGfj4kmwAMI8XfUmKLZOpufg188gsSeQVa7K4526h1MOL+Hk7u5oeXChiiC/dwuoun6aB3eurjFXw/osNKndd43pnULYMmgW/HOTh47UmSEkZoGr1H9hNbWkzQOwv36BZhJZJs05/1QMEHu/ezj81H7hvfhq+hzL76oO1ajgjjnbqHUw4v4eTu7mh5cKGKIL//vM9HfhJvhpQ7PB41CDVtgRQmH63PMNC/ta5mizvagEmI8v1W2xQVDEtAR00KgCOhUdyD/qfICWTEuG+Cfy3kzWnBgnuapyq+mutMpnHg9RpN/Y6+NavdXPxgD3Lt5jA97RCGqwxRyvYyTsyU7PF0X/PYOPWGU9+4zdstK54fLcAh59+GYUCNXT/x4DqRIT7AvmfQd4K2ruyiUY0yjqI8ViUlw8wYulOOg4g2e+gXVTV2dEhv6qpzjAjjDnR/IFIqWuyoSEAV6UGaRi6pP43ZoDdHowhmx3cvWKFH54k0XKCR26wR5SC/5fIWVTNqkgo9FXU28FngHAolEN3OjZJZZhLdgB3WBe5feAiR5fE7nJ4D5T+6fToRQrm15SPVCaWHxKlTwlim72CW9vV2jMrPnay211tH++skQ+tWEruMOrQHbOEPU/Q/hICdx1uwHsIMLDVa0Jfqu05Lkb9JyJmci7NeubXYFsHxYbghdVhxZa/7jJbGhkbrKi0gpxhhGTYMVmgNeKCAXO8oN98z2f0QTBT7/z5g28J30qEoyq9SblAJ5jhuXoPh3+9+UqNtIYD7hgX/0eIWuppqMU0KD46wcsb9qNeEJMfyROY9sYQ3mVyzcnja43eG6dxXrZDnkYLWflY8q1G6VNRMuqAonJfjpIvpZeMUHTYeEN0A5r26zc26BpzEoKeBGVs0YpXx3glYATY97Atyhb7zcyK69/7MkJM5VJ0gC+WbJYcdGY2jxfI/N2hJuzGX6QKorLftrVvy2uqJasw66EQjGiFsbvCvSNyr/B36ZAVQ3AI5H7B4GFwfDv4hQd00AWSDNd0cS5/1rtoddTJBjuzAh6NJdPwtWNWKQJIbK5zP+GxNkghLxnfjyPPiMlv6Jrsax7VKjIZixgntNiSXBynjLQGxyrevqGmSrecLNqxGgji9TC4o3erPLb2HqEtzp6MMNKyFxd728/j0bvfy8LNvIxbEm2PFAsw43Etl1BzO+XNc6tIUgRPooMatfdyIHFi32sysU5UQuh+s2Vvc7Jk7HicLVG5q2rTdvCSfGqTxTJP9ejHCXGM8YfOoYhSLCZ2uqtxFDlid6UVG+u4mBSxyQMTxldl5CqkfCky3u9BzXifzlPapKwwO1fPRQQ+1xcx9vJYzKJrchYFNaVj7/2fX/UVaqHHxHr/3otl2/ro62ftS8Nu2JnL9QVpwkRqO/XZ25jWXQMFANgqjSFd/AA56xp4L+G2upKH9skygZ9/7X64T2MO9lJAljLGd1m8Lz9W8FZKxnJ6jkAZufRztJ5IYtZI8I1uZzjNa+HrjzZvyM1eiu8diq9+DmJkc0+L7lE3GNA5tarTGTvXz9ZmONH5qlnXDzanVB5QO3j4Z0nLih82U4J84yqMZz3DWFTHm62zRZ5mlhVP71wj2PLN5ravvL5yssEnpWc+FBjEMBU3a0gWP7D58OthgAAUUmZC31Lsbf0MUbksSfahm8YjFlm3cUCQIHNzh5/Mo1/V7T4aJ4h1nisqLpfdMLwJoF42vn9p1L8h9osdqbz44rtNjhV8EYw8Wr5jsrFuFVMfSKCYRj36N7bpjuFWOWL2zQ9xduX0Js39fRdjjnBINWF2J24Hxwb3Nw/2ALEyWSn0s8V1UvHIsweF1E3iM4D82IZOta1ngr41cznROuPI7oy17hxalCUDcOmuVV91tb+vw57vwHc/ethkPeN9PLYjW9sm7S7n7ITztF/9vUb9vDBvCUlji3hp1HgAfkOrXoORF14rS9EaY9qKEXpsnQtG9PUapuCJcPqr1kc4FSm6baKN1+3J3sZ9yL0cy3BljQKzgjROEeZ1fNU8dnhOXektayT+eKH30LnIrHh5YEF4vT7+WeMlVXhYRcPUCziwyL/x8d6ZyxcTR2zhBFypqsWnYWpgAi/hn4kAdHCzG0ET859HRThNa0mSYfS5PzD9K02GgBz6d7xP2Ff8OXJtePPt11GoHHGU60+NR76i+my/DXMJ8jlrVn+l4wSMUFit516Ee+0RI06buB9dNfXz1q+JWSUwkQm9cB1Wz8H/MotapLJY1nbNTWy0IbrQlVXCFeyfJhBI5FLinuQPjaydQ9K91lsxN+Uv7OnSLdGpaNAPslq95ZIyL0uV4BsYfOgBVb69qgdThuFKOQ5P6G1VTLoiuP5jRmntUbGE4VaMgwPn17mXFONQfEudvvcBg1cKeY9il8l2/jzkFcMEkO6UVSkn78+Ht9h1LELT+ryjUSujKQgiE8g60feh8ITPa5CGitPRlukNC3nXKZLXR5RPf0uwER7LLtwrVv8WdhOgV2bHPbgpUhSZ9xF0Ay9+zUtCmu9y3TTsUOV3oTyQAACUSZhdjKjwAPS/NAt02ApNp00PWjxEazJpbUSIV6mlUrnwlF8uFrojU47XSaaeDdafUciLzJ5xgkkXFcyMAsAPS4OsYshbZ+hKVLmnyCjvSE7yv3BwxIA3dJora/sY2GNxitel/HgMbDv5HBKgPKILchkqsxShZW8JcXDSIuG23iNL0115sQJtqVz1LedbeQDVGkXvLdvDCBf9QY5yavmJFNk5thhSsAStGXYkKsAO3KTFRZVLwyqRpluGf8teAgt85b9TiVF6ela7GvlIKEooM/2VrZjsYBrf5x0FPuhzcCKU3zNqD/Spzv+yP1ViH9XMjMROwdOiEqmZ170Tb2x0iBi2Z7tvh8zwMGeYMJdk+50m2GjWu3SI2IPT9o18DZOd2NNZRf0kfmGuKlKiqRs/aMbIJ07XthXwcpT6fegWQ1rXxpZz9i2Z5g75+flvKayJnlvVr8owpQJ2JX5wCbdYbcYNLdaBNQaDsZHzFzD06w+f2Ok+Ti8iq54j6goVIOLUkvtV14bu3wE9AOnN5YgLBPLonU90czN2q7E0yOZ3gAAO8ArE3M+hQ22YtXCVG/EzqUqlaYUPFa2B3gXtrsGyka87Gu/8rKOH8xe3Zd+qPHXiugXk7kv/NW9cmIcFdGfghPJm8RxWsmi/ZZHYN23tdmBl2rQpwyXgHoVWaBrycW5sz+PiqYw2ciuQ8BE98T4XHbQ+xKktyDC4L51mYx+SvMAqkjmS1C5ZVM1bxhdpyKIaYieNCRzD/Zp2dgqoMY0cvFGrEeJxVJZdmKOHPm2z2ch+4uy8UNpsnu8gg0vyFIZzsd78zdegx53mqK61AQQcPbCcNPXD4G6hqmxP/daDufkNW9L7HUZ0+X6fKjZPSq39R8cNv4l8NEPIbhD0gj7AJyj32JA8gTIs93Yw9Mbno4hN7OIX2CgKkkhjgk6ZEuHvaNaW59grQsSjMxeW+Ai6EhWBy5+E1+L/j0jyabwn3+JzHU1T+lwoW9jZTyw39qZFLZjNPRdP5PcRU7E4RtnyCT9G5TElXA7uHY1tnj255bYbmHkTySjXI/BqgNWVq23494fCKpAGlv0dPJCSGy73qq+kgtuj3yJQsx42LygvZ3gNrfqF9BJg69RMvV/lPmAinEz3ycKMqKZAlY7TdPnuEENlx8aUZZxR6FKHAnLW5VY6P1vrBpzGKtJW3TGPWaiKHoKQJGYVB+JtfOfhvaZ0CxQqSJN4gmXaB49S14OUBCsckA2pv98W39P+ZA5OwqR+eNh4QwxK5sWkl+DQJqP3eeRIkxBZUOp/O4s1v3c5adCDJAF4v7f98SdmCVYBQMIWMv1l5KDRxxSY6THJfVa955Ou0nra8p/XkwX6eVmzDdKjMWuZdS3v2VhMdPDCSpELzz68UF9AT9G2Q2uP41TELBKm1vFwAAAAAAFYmg2bJsZ9n4VX5LjwAhvim3AAAAAAAAAAAAAAAAAAAABqW6wN8/oAEYVtTgI7R77IV4TBmS8CuLQkoepJwslU/f6jvSP0I//AWfbvIkQhXNIMsj2l+gWplp5qIXkr/P73KNHWhdz9U0GwAAAAAAPjvxyJ+m3vsWZUwxQ1+/nNc7EW0wjKpyApqYp8oC6ljdE44xwuOpoXxF6duK6NRcp/R28XP/UVbo9MoWPp+1M/NiNsTbJ0ixfH2xL/YmpUvxkCi5RMAAAAAAAAOXq5gThh8KJfHk7ARIi9db9U1Y8dp9JYWEr4+H3TbPhbmzkYo9zXcieerDqqpR0WTL6qOXfHLGvdQFpokxVBiqnk5o/0wub331CSLz3jbxV2t4V41jq0UJI1L5UhxzNNQgWoAbmo6AZFo8jl6F/2qvfnHXV8t9+4PVGRtba/kol+MFSrTVVjEY9MW331TSNmvuoeaFXImDwKazOuKwAFJUIgzvmGyEP9uBwe3qVMhjVx/XzHdgWZI0WR66R2AxzO+ju4k5ShLFWjs1cb1s2Pu4IejQA3sHgTKGsg96KsLLGAQCBtjBKG2MEogaGMfarKDX+NFj4KpIIfBotfPHAttUpTdiSUbb/o8FiIA0MtLxMBMxg0AG+LkeSUVVsXcjK2Wm/lnNTfjkMilIECLgD7gzaI4SEmFN1rT7YDXRlKm2Hk5b7TdCKJhp7RsGMi0E2Db1MpsCFDyd03yo1+y3OxxmxlHx3w/tF5HC46Su8IM0gnGJSydH7BTHHfwpNYB33BbcastBR0TuPdknfFHGD+YD+SA5mWthrn8HfY3Jd+0aR5Wd0HW+nI7N4mK/JnP951PYQOgS8yrHchC9AwFY7aXOAH4RHYbLbnse+EuJkjk94odLAo1nj9UzR+8VuUH/lM6H6idMyERr6nkosGD1THxWWTb1oD70ouigXlS2irEUTp5G8ojzBMtv63AZhCvUEznb7y15wwVKWOrqR8Oa6jQWk20XBosyUEJ/137slkZwL2xcEf/11MDJpDUUVlaZO9xsSSKBu9XWR4EHZLQewLQyKG9DHzOJ3xKLp5gL3jmF0asxE6ywvydEFMW3dxK7AIGJxR1EPU//JeRmE9WG/YUEKtDJOsKJaCWdBGEDdwzXM/VlSDmKc3ZyNWAQaw07L9FGprlWni9/pEYh6Bs41zi1g5ynxtPqYa0GTWGac673Hw2aXbSqelBu31lTOnkthwbiU6WlYd31JJanfMu6r5LxHfBvQgLhE1ISo3nO2p6mTK20NC74dfjDv/zQ0dy38muNQGc7ygnIkUpJtq90Av9mpEAg4KRNlI5/scUPXOxzEVOqRTx47oy27kraNBy5aeYQh4ud2i2W26mjrRE0JSeANxmq6ADo2Vv/NREAvkLNznbeQ0MogqhuKjcfI0gBvD3311T9ZLArFqlMGIEGfuWp5lxvhsKoI3WpEQVUPFvSz0WHz55CUlcVKiiQv7Ubb8tGBszFLJa7sZbNg0RUrs6kkMtEpF+4WI3TEYV7HNHm55pILbPm7uazJrLdbeAvCwPKdSwLg2FauyHHPdvl8v5pJ0lzP5PSencS9nt7XMqFargl5tccyl1PYu6hnsTxKW3P0jLXAPWZn2Us6ogT7J1w0IIjOCQir/v/vTYk3Jh7FHXTttpsckw/Q7rouI0d5zZKhLCSbm/fcZwaXKH2o5PEdMBzCeJUloDiW2vtwTo5eeZXNuUtMyzH35Ev75QAj+mOepU7FrH+wI17J11uaoAv3EHjeqHyg9FW9J6dvmrKNgu7rItmPMBZxEvXvwnZTB3S+x9IazFkeY1BOqB0sNkILt52XTcfoHrc5RKxGGYASqlKaLRXL+DUqpWBk9ltFR6jQ9Iw5VMgU3mGjoOQFv9CpM1vOQw96w5VeW6GSQnmQqGTtusniU3/bE1vl14frLJtx1HWVkBfMbXfATv18rQ2hoW7s/VQLWhDJ9eSSvAGrB8j01m9XcxYACIOymL8A4ZI0UFKbQL5fYqnye3FXEh8A4l0sxhfc/+KtXR6qmQhi8UaCQxfEOso4HhxYOeqHlE0CYAT7BOCrFn5g2FSpWh1UhZBcIdO6UNzcRuypTTM0kXj6c1PMG2lystLjJsC7Fvlf9UM+YHh+1OqkPP111yKBVgkx9azoOJBp4Gr5Yin42FK8uu2TZw75B3IcSqE3kBY8cGNIh20hTgGUhH2NS68OV3NK1EYD094QrNVCm+uUlZ5DJtEGb690Z04vyirpB7F78fq2ocutDYwI+URaBtRzq/IxmFUaRDYIe1EZVC74GaeHvEgui+1VlavMqFqozgxT95zRFE1w7da+Utz2fSY0prkkvBv63PPv4Ie7LnuwUDRzLYXzfnz+dfe5+uu8j9nN1oYrV4HmBjMVrS1EgOZaVd3namuctdUjgeAgATITt2IBdkff/7skvlc0FDpBkaaEvhK0I788yo7h/5Xmsl20B8VR3WXGShZMyb9asp+yebU8GlrJMcHyzOe+ctZwf20TjSYjkF+RAqM2QhcPKo6Tw71l7PaMofHUOTcQ2+PwDOlOTUihzpdU6j9FaTTTcKnNYsQLi/+ud9xbe/casBl7Elh0jVbIYyxNuG2lEIY4IJQ69Et5B4RsD9LL7cNmyQSI+3BJ/329MXPbMx9NQwWfiWoHnkHffnaBCxgYsBpKNvZIxbGPOFcpwMMjM2C9Yx2JlsNDnjYxn0lEIYFe9cJMYfYBOwElOwXG4M9A73Spz2dKYX2oEd5laPsWNRF6D3bdxG4JGsmkE/nKiOvSgHTf+hxYerYyiulVvLXkDeksXbFmIcx20ZMSpLaaoaTiCbzfsvUnOqF4G2dQwzibH77c5AeJLdKHI1DLwWYcQ1bsO1S3UC2942fH9S3dHlExZXfAp8SPde03LPcM59B6Ef17I+LAvCT4aiILfJreVjMQEARNNCs02bc5Ui4YgOThzmQPPBZbqWgWDKTkzMG4+Qt9ITE6a2eu7Eclp6xKI9MiLOcY0xESa/kbGmK1crGI8qEIJWURmLNr7JzzgQ5VURVaH32PuF2r0266cmO/U6/de4Jeu/BVKh91y/FEE1i4XYjVKlEmUKgOF4Utpahq5TdqAltmnO65UKU67SpAeodSbKj3Y5fATb8zFpu6ahj3CoISzLj5if9f5nQhUfYZnH8Yl8+J0hxwL3QaDLGzVly0AJkifEthDUOp1xIJ2u1JEM8S5t9zZVysHg3dWj84vByXZ7UW/gGWYPnNmwSshHACuio2v+cqDa0p3uTAg/S2a+cHbjaLWy4MihFmTtThZBfnqq9ylJTcgRLnGb8tcj/BZUJca/lX6zj3WGHH24J8snZLVAK6/94z2n4uJ8qT4hITTE8VfdsXupMEPh+d1nHDwNlKAS0KW5Y68DNSiU/2F2ARSPiJfW+nXT3Jompdrrycv8o/K+wCEe6P/onInBD2oJMXyDQGUPrdFnYTmq4lUzgq4WNhYd0OgS0I3IgzJVIEaPioeE8FGS9PHF4DrLXfm7ljkUohZ0Mj/I3pp/Jre7ua3B2AKdcTjx/2khKwok90uDMjKkFSldsZj/aGbV21n5v7C9n38yhLuQ2641PbroZ1p6MASp0Cz65ajKw8hVErALdysqC4Ascm8iDjgtF9ECXWj/e66KmAMLIDGy/urm46RZMd0JkMkz9LOulGIRIDRo7jpmAxI83GEPoyw1OwdgrwciK8wtT7Qs3AiSr5ptM8wUlxhkSGk0bxVeWF5Oa3A+Xgo+b+srg2660YA4Z6kwGilLK6QW2poqr5JUdHYJt7w0MQpxqEqMbs1o3kLc7nK10JmmHsm6U+pj6oaGzzV608Sdfj/hb3JWxf+w/QqpmxJolXcABzbUM9AYgqSDuLsw1f1sg+3MUWvQQsaZIr9vge61HcJw4NTuTEnmX73TtQaY7Dzoz726/VnDnga0pAGcC06EtNv9dUNzXgIRlfCP4qvmTFqDJqqJwkX4Rh8VzjYSaRr76XuUcnTsE9iuqb1u/vptDQtTkUOf9ZFIgTJVw50JkRrc9JDCdKpPxrneCpYfXxaXgSqWJ0uq3k190VJ/7tIcq/ei1mSQa3Vw3NYCdiurQp+iNiijlv3DQgUe+wZNeFo1m7WOO3/VjVTOhtb/L1mEcBoxUrHiIACpgp4AlCbfRxoY2xV6YUTmdu/J3wNDOmwN4cRc7O+AywgOrWEARbiafhlqtIfOUz3Ss8bYT7R2yW32CpBmfWIp/N6tVcpgOBHBnMcvTfeYxOQRjSUqBP8bPaqxFFn/I7Og1kAlS8hunxrhr1oAl3VgdM2kNxTQeQxroDjP/Fzsp8iyL1r9/icSmtSuMZXmiM18VfCg8vYfnk5PwbTk0liZC8LWEJPnzY3wpEP3sVzgRyzUKApF04cPO0ZElF4OfbODDoK++YWDbIlk8FXsrujFGiGj3rdtohmrC+QnqmoF6HxR7Q/upwHoAP5dlH3AsxiAqgtFeJ1a6MDeDs+c4DP7bY8AfGlaHcy8v9oXctB3bMu/YWfjs7ykkJio8bOQOYz0tf5Sm1r9+8pvEd2T96W667lbpYnZVDtiJf/EfKjvQgo9UaetqLdaBvNNAy5LGlaDMjFpXkUwBwujT6d3/wX2eW7OJpkfNJMpUkilieBUzmH9osJziWx2z5kT7rRckA07aahrvRV3BRvDBAU5cwDtPpDvRWu/wdG3LSWubpwqZYF1nAGO8wHxwFksnUvabaw0zfzIr15FH5AM6wqBwOp804+ubE2K/oJm1T2A5iDxg8fBTG43o2JSIg4m0u3VsXke8MkndKeJGYzq5bOtr3tNwr/rCmaVLhk4hlUiA/FqktlIMDzP786dr6lC6QgE67bwDxwQyDUtzpVEluhB4jTN8nKd5CKhPtR7zKvKcShgnEHutYro4Z/XAdGcscvlHWq3MZqEM06DxEe0xxfkBcPvmc6vu8tpY9PYCkTPoXEEbm1PbJ/KATlEwdsJcY51P7314JY5trJ68X74nQ0mAbqzqDKzEDUCxfYTwstdR4kebQv5rhn+LeHtfRI511Wu2v2c4xqvRulpgPIXxhFQ8H3+6xlfSi8O2F5WxpuHIDrFc5w5651zloIHySFGO2SFNy6I8ECa1HUvCeCgpPxroN5nm7rXI+DJx9+RsvSYG1SkVMZ6AymX2Hc7qervvZ9CXLki9Lo5Lgkf3yx0Vb2j9IbDJLXtMUxpVkeKOK2/I5El0Hvc+4GBSehGW4aZIg93IMaUXDn2v9AeQVn9Xjm62PW0aD5NSCmeN372k1F6igyx2d4s8CmIEl7WCYwnxolm/aJyjsWhKJsM4pILxTNjzTTTvZxkNa0Ccw2LaNOkr7Ip0ANHDp4WldXTGrJSmQq9f4rSUhqZ83qSeyEWwXid0zQC4jlssb/Hc5N88SapNekjMJWoQL7mCRRytd++flIxQbw0pYscZnQgaKZZOxouvTmiyBSuJ+7aLbk09qGLo00zkHSDC2BZYKs5B0K0N/tGvjmoIoaCJkpp6QIg/Smkji+EDteqz3QwVr/8diz86iiiSc1hjH1KI3POZyuAh/VJMqpuMKBgut+/jJzbd+o3/vlVClgT/PMHIWNnSHZET8g/N6AjIQReDclGZGCO85J7swR8A6gd2vDs6NbzM8ym3pWjCu8KJLeKcLIUbLW4E/ckz0qbIwsFeqXuOek44WiKbGE0mWaf+4HI5FXo480jlhT3SQiEY2WwHykW+/vwK7XM6UoiUHIFnDAvXvy0t/ALc39NfJ0hqN92vYAub6jAIDGrv9b/ws6JDTj5CYL2KrY83Zqakyl/ipZfBrkbEat5wN1+jXtQM5PyDHf2hfC+OCixxxrO4vSdp1IPNokJMV6/+hl6lL+mG0roYg75i4LqXD6Oe+UZvVyRcKBacCfi5N75j/1RnCnCKDpb0i01FBK6VePf7DAeNYQn79SZBensz6VkuDgozyT77ahEJF8rbovN7J7a1vopvNpIvlTdO9tPJU6EcjWnevT2JfhWu8ImQTiYiL3S6lFXWtVEyLZlmT4NaD9JUOkNz6Fhpa60WgkXmZGIVWCxrZ5zwvKddsLisSwIYdVnv5XWtZFxpcBR6+mDUB9ReLIpmRbKKKIWK87INdjgt/Ki7acBJlMJAAIaQOPg1PakaypbbMCyGL/zngTD+H6zk5r6kO65Gegif8A1HY0dYMFEUDkE6IbT28+ZstGNnpK4JpzqGpBi3trwALw27rhTMfuwoQWZ/PQNYZcRDfdiS/nxpYrJnuYolndAtYClUQxbWLGdtcU8s9aimOyDgOZ4Z68Nb+B8yzo9drRx7nQXqFhV0vwj1KLzZKjUNC7BlB80vfpWpnCibCjn+oSxmOlcPQ+KtBtoOVqcZp07bKZf3tIlNj3wVxPa2A1l2KpCg/nThIVt6NvKK19/LzFG6vCX2cizWdO5Z36TGsMzpd/GEBpuhFEud99i9S1eA77li2m+DsxwGSVKIYbWXq2OgB2SPwFiRLaf80l1AImYOuN0T5y5QOGgZTwHHKmGEVKjMXRmLozFzfbWRxFSs5xucBXqflBOXJVxx1azwQQrMFDzgoZa1+AMLq5fgfltHfKqLTtRNWSE1EURT9ACPuu6MTlQLU2kXE+BqrJoqDQEY7ukfeBwEXYKbtY9JooEX9CwVtPpv3RYC6bMq3GRtIgeFinsTT2oS3vdVJ+sDp8nO6zNW1D0COlvf7Ft18aUMQilY7YTDtdos2PuHl7evXhyImfVucpMtFEsCkSzM69FGqBeFPHC/N2U5HJcjsYZbtbduI5IaYwSikgncFNC3w0/MXDENK1T4m/lzkOJV/G+JB3pOlwvlMz0FVEI+t1Bs0pImsqyWNQZ443ojH81sfVYwOSWGsm3eHTQLNxd2sY7/XyIrBhULNidijnI9SGyivMrsJVKku5Sun9GZDdrdnJcrOTsvPwJ5Hp0p+OKgIJV/NmAZlubJG+shlbm6KEbqoHyPr+5/UB6gRZfPkRPiIl1jVEFclaGONMNCm01fsUIP8gpS7BWIKABVh2MkgFUywg5vMUgr3u6E9iQXTLcmDrdr50CbW8T+WOdeQTS5Ya8wz3n4vaSVwV+oUaeHyPsIR81fJs1OuIOiBmdDCl8FeRjMAoBxzB4F2k7p4iOM8sFAH4J304WL8408blapnl8nfkiB1ge/LO/Nv61OrWwT0p4kcRES+dKm6JUQOUdBQ+K6NYgKBgo8iZ6S7C8i5XQVH/gLE1CAYeqUMgRn90XSHWH2HLUe6GoHRT1XLkMxtBkv5gAUztiqVDsq/EbJlRTB2Hvh9pfoDmDVbIZjalJIl/j8sPhYTI2Z5wLmJMvw0RpbYuEZfma5BFQrw0RoO2RvTrqyeAvVHfrDY9obT+Y56eo804kCBw4sB1N0N83NKEAHr3S7d2ObnjEvNnU85jOnOKAAq9TzBbwls+33rNwyJne06GAvR8I3dYEzPOuufp70dzvF7b4me5bubGjQs6jskAvOIBFJsG9U68sSFjHHmOonNgOlVNws11OsZ6IfBrk0YYfMmop6xZ7q4o9mvuacaVYdWQVilIM3rNue49xRescfDDVD1Z4u8yKkczvonTbjJwXrHKWVLSmyExsgVzOHwZ1yoyAV1NR+mSmYY+vE7dCZPnurcnFAFbOl/LowWRhzHK+rCeXKM5EMml9JQUvZY5QIx0c+1lZDhxwaQIDjv7t0L2vLsQTTXjATLoTbyaWnJt2EMpAyeiDNkgOKkllYKhFHHqOHvTemAhN+pxZcjwH07NnO77r9psO8T3+fq3Q7RWligLWdkYs7pbiVE/0MZj1qnwEFS0OPBOyVm1mp8ES7BR5EzyQPuvQ00Ev/QZVnzJIB7CPzQ2vuOjGrSQQMmobo3XzfW/YrjECKUYugVsoxR/rqqDq+Lo6TAUUz1Gume/dj17Gk9lPJO//CSJ/pBc3zUvPMezJJqFqzGan4aCojzyE0ky2lwZd7+0zXO2ymvKno30aoPKiRfILcwnodd7kJXGsQCfKUJ85956215+1OsrwQVcEpxeqonmZAQaZhl/jdQM0JH4K9tZ3gzcoYo48ZcnxqNf4vPeKpuJ9GLLyJ8P0hOXB617V/Tn67mmC5VA9SFYZeNz22OOcutn7NNSRQKwdqp9kPtnc5/Si/8vyP9SdqoilVnZeQzMdxVqpBkQckj4m1gApMc/rbX4wtf0IhEYXlzZBE/g00UA2N0CIlqZltFPagfl63ggk6KHXqub9CCC5Um1TwV/bOA2jEcultK5mV6H8ET3FLYy/lZP73NZgDVRJrB3a1E3gWm5oaGjq/xXOaboQqM7ei4fQigZITor+bOCrpIUYLyQq7bW1wcfzWSkwiWUfylODgMOKj+LSY3A3ZaPG45CP/PJGMf50RSbBIIr1ZxEMwpNLFth45MyGreOZjHD8bd2pQRcSfWGhyM/GO0TayK4RfSb5RVJaMzf4+xyOweYc7ycFUjDJ6cfUtjpTCi7IvEjeHEQ2OHUzMLjvRbwaiYdmim9FJEXdGMlERUrONRTNt+a+4CxU6rZP32qOwS4VB5PGtDc4bElR5GNAGRNbvelRZMPtmq6hqlHkwDYFSxk1fgLuPEpGMhcvlSiDQzGBPF9WKo6kmuTnqtVb2TtZCp67wq57J2egjjHP5tSQYCgiY47RWPvm7F+A/m9mwFJQaT0gInrioYv4ZjgFZLqjCyi4nb2ev4A24768O+23atk6URRtx2Ve/X+FDG26zSKRCRB9RzTu1yVGWdxDHeqMGCT2xsq0yRKGKAOxsocxWclwJJdt78oFRXymELTSqy95CtQ5BQQuQlTl8tGadcv2WUj0H8vhSDh45Pzs/4+9MbMBhTICanQA87K2crwM2dSJlZ2yyziwCHauuNqENlFfzEeDwYrvN3Yk8C84sqGj6HdTkQyPfGg62w+pfU2tmdkrcL7uZxB8MOVuFOabRtSwdgaF+tH4R56Qv9padZDAbDpy6o6vNmJxB1PlnIt4CKA0uYaDCOVggPeJDWvMt8CIL/p8Ov52+IdAUYC1FXXZTvHg/QOeoeMgfE6z2ETa1AF2Z3xoLlWK9wWpJdXhvuqIGX3S5ZQ3ISKDt/Z1jcebEGbYTflKJvfXP1Zx7meBzvj2mRMxrPH8ixcBZD6NP04wl+kF/JtPUXbrm5XPmcgMtKOkSfxPV+Yf6kf0K6r9vajsGo1yl6VssBuBdRV08F/DfFlVMuBr+73x1ldaoIC+Pa8F36f28hRQU+BmAqDyeNBmE6XgZyQYab1YyVX9fDMznEVgwFdAUlsRdRvb06sCPrHNoMVE0qQCR8BqbA0eYI89K3FvnchYiXnPJjC9FxjRGgysn8l3ysMQK2HyujTDpX+NyKaotjOmYH8vsHL0wL+Y/vHUwAqkX7YwiirsDt2o8EqiJUOiv5iWhmiQHgrJVZz87HM2l9JSC3g0BZh7r6YkzpJUNkSS/75nQJErBbPRsFyhSr7rCPUL2PpwjxeptoR2n4reLjkPLgJMg1WUzrAA1FDhJGFItobWxbVe9Hb9hMEIfyQYHrs5qzNABxkiq3dcCBehOKBF32hm4QosMKfS9u8oi2CkNqSPhhtWYEtcg8gLtODVtAQMlIUMpU6TqF/Tg8fJPt9DyW7V0sbm6G13VjKk/wnrsCVcCOusjBkvbexYbbUwvSVdH4O4EOzBKSI1yeTcP0pHRD+2mfFs5Le6A3vjj3y9rGZGmiTvsfYEuFQeURItE1hrKD0OUfkNVd+bmoWo1HMyddm5cS9LFteTChe7mPQA+fuaJ+tGJ+sVdDIDTsY5uVWuHD3nSmgbjH5RAsBB/UxTxvFrf0Pc6o3naa6ek4tWLFTqlf0a7Rc6/APmGj0KTT8PWdKgDAsOXHamdtDQZpMH8cfvZLBcAtLEk6C/dLi0uN3rGYXJVJ0yPLq5YxJ5yLExdxyxy0T5qWXVp7M0CA+W17jLf6hEhnGOh5YMUVQ7qciGR740HXJtG7aIgjBGMj3gmQo4EnpUnp597tMJeWvtKLQJJ872/nqyO556zSjFKiU9s+hokNSxpn6oTwzs9tUD1eq1iobCKAQKN3kU1hKqcVwfo6PxIG9Uh5xKyYm06dDNJ11sXlBzRCifwLPEtYzNMmlMhn7MsxPLxZK/EitUi1dPlulgyyBn1YlG1fwya7hFsf14HqJFKCmIyvlbrFcyl907+QuceH9yuz6fdRbD7/uKYpoPJ5wlkWtuuMHw2USiyBCWj3/NahfFOFVAoycOV0RSQRvnGEkCgJ1HShcsBm7q/B2e40vT5cVPqELV+sYIwaRIrstmHMydn/MeJ0R0vAzqap5t9diL2nOuyalOvZSAh5NAtl5ScBq6oN6tTkaxVYduvxzI+vXONDX7A8/hIPAGssp4xDcxW3VM4eYeHoE6uyrJa8bIr+YnUQlMkRll07DYrnOak25T2hUdJVfmlDDbd2ACNEC1zvUftpKkktrJMFAtaszVzsn3R10MWAdtp7tUHFOUv3FExZ07fWVDR9DupyIZHvjQZ/ynPQ+KCK9WcRItKKQA0f2DsxbcVtyFGnnRyeP1YsZo9XNs0vedGFfg57KjhlCgjif7bp2uZlTgrE7jsdH83q7D98zlpNavXVBSQutDDXAw/wRSY2If3VZy+T5H4h8RAcgvZy2PfhvFdur+3+hM3Arynmev8TMiShYSapt9yLWtGo/+69hGAqDyiJFomsNZQehyj8hqrvzUrm6qsKlxTj8PJgWVGU0bAskeLTuXwcQSTAjQ1t4OZJtjjfrroz9BW8p0XSoNINFSoVzjEVa633QZ/8IVSu7eZr3/QJK76ieTqZLb9ARXgXPlRkZkimbuvVf0eH+iItwy9Wl0/DcDp6YZMHPwLjAyiR/seOWxYi+PMy9vFQbrwCn9vA0+RA6VyWGGz7ecgdI8hIRPA+js67457b1ZCFRWcl1rY9T/JgrxKtPd0UbzdbyFu32/TgjYRiTOl7XtCTuh77FV4k/wnc7sIHT3EHxzQMmVqJA+KKmA5HCDPCHJ6Le6eeZYVNFBFwEmq1FrjLf7FRrUtmFR4RBveFT3KExCwkL3hFIco/goV/lRTI136nHO0oW1U6nRmAG0LtW156JTW+UW6puOgAATaR/qgnxl1QnivR995mvaLf03dYyTGmGYhbzenM82kSJoMfOMOSklP/QqoNpyDC/T/pnBGCMZHwD8BjWAVxUs6P/PjqdK8xX4aBZsjxrYq9LLaT4ECbgPmFAu/HeuK5zATaROqbh0cKSotsa7gWawmjDOdTQkB6FFtwMcddqeGUNGus6dj8j2hdHiOWv1lAXgGlxo/YhUyqveW4ae0ZNZeHTBoBvMgaUX9I1s2cFMOe2IDTPsnQ3I0BHvhveCZkrNrNT4Il2CjyJnk78e4Z6gMbM6ERLBfW85vDpAOFrjHcN6KU1NQ0kUwCYZ9zE745HajOGhecrTGPSbthRmruqRa+s1YsIO+j1gGgUwWipJjyOgbHlpFywVnlLIIFAax3xlkvcR/gKpIubwwl9IVDwgvYgC22d83G0pUBRc0OQ5gjwf8e159REcCuJIMje3mwrjDlmbti6WY5u4HOSu/00jRtAXlRoZf0iaPCbZwf9/ETg+K6mkApDV5p/J5UU8cS4cJQ2aQGHDMjLdeJ6DvxDyrl/FZfvHUwApyyaBO2WldlRFfzFfYpmUDjFG291dmp6n2VRDSL1JDz0DpsP6h784w5KSU/9Cqg2nAMokHzMPuHaml8OognFJna7+7Ca+AlS30ap4sd5ZJdQV0pAe6t63T/M59aqE3/DiSbq1L3RrS8+/LACz1zSV1Xbqf6gkEV6s4iJtxwaWF0fBSiIMYJQ7+jNDH2zTCGpe7ssAc4AmlcnkK2vHHAs4IflVYZ50Gn8BdT6ELVHqyvARPSvIHf2OFL6fSjckzPf+RIvRT6tdA+DLovstwqPQsD4tINa20ULCy+8sLjor2z4fmqjUMS1VAgaTHz5Y0p1P7ZTupPMwswNhAq9CHcmD1n2pmqPNy3Ry7J9d8X/X9ffttPVwfQ9xcjIvZ5m7kpBtwUC8ONTKG2+Z43aomx0DLX+UL5h78kwmSgnkva87Y2XReI167lCnzkxxRjJH9y/RTTbhW55dydp9jCgcJjRzaOjdh/eOofqACMx85SNOd5PDxqCr7CHnkhbv6nHGDkm3jHfsIbZJ5uo85DCvQ4qe/Os4Q7ZGu/vv25sJp72aGisnFUVIpP8dHHIqgdk/mty7hdEDGh49K8q4xVIg93y4r4/Dejn7lnwmKCxN1Hy4nqjY39lg7SCGfLbWvZO43QDmm0HPoMrzmPfyEbuIv6kkGK/mIt8ghGDWjbh3v4OOrZtqahgo0VZGY9DC+7dhlBE1UmNXPEeIJaF0srdzmFV/WaGVU1VEpPKiB7I0ug4nEjlxUjbfNERuWf2oY6V8ljWWb2fqgoLyaHZlampP+uZlfPo5jZYQnd+C2nP1IhTJTJFAVsHz6c9epDmY09P6URuYvPcCG1pzf5/rG/oNNX78Xe82dYbbukOBQcz+wGIdjV/bGPhw4KAt6Aw0q7/uwNotDi3YT6G3X3wO1mGkMLEtEPmDu8XtGh+6HgnFilL27AFKJrEyMZjrVHoN+5zVYHoihmG/jdlgbE+Ad0YT1AJZFyuzAtHp2G5f9jipWUmgrlqXzqixkHTYX3uHT1kZxHB+yYAHslernSlR1RYdSN3MppsU3gX4Eu2ib0VNjVLLjYBvJnY76GgLErt8J1O1uk/feod94L7PyG1nQrypc/1OAk1WotcZcRdPVcvYxS4zQNQSk3EctxWJ0TN4GKRmNVnMsQR9Cyy3lh+budnv4OsnsWmCmO+FIlnp5eVhwjTO23zorFTrebGcYLUXSlKcHAbJsfLBL5T1VAz9xPYX6aaPS4YWi5MRvPxHeT1DOUxr1ybsFR6/5u3oi4OtFkMdqgOU9FzFg2ATypXtUsmyLHh8OtMQ+RTY7yReKU+Np/YS0b1lmkDORXvdEgkthEl2k8oHlFtc4KctkdWnw+oHo+7L0HzRZ4GRiWKZw5ObRpJlD1QKgBc+weWmH//jfpuT3eoephOW23nlL3wRcR1XmEDvhRjoy5t5KqUPh4KDYD0S0CLMNipTk5lAO/HOzKA2+e76pxjvAuawbtkDAySk0PY2ale1qy3Wiu5mVK+AhBgCFQTq92a3pc7VGbm1jnwLtCbBfcFXyvSWj55B99XGN07zPHHQdJz1ZoT6maGl3axs+Brup6vK/UR52h/Ksu5mXQiqi73ZiDQULJ/kIhNa9/Jnnx8C9Bf8g8dlD29y31WGN3FE0RWo3AfpiAUERruPfsAWD45Y9XSD2+OwV0GJHp3sRLCi8u2P+VcldbsD5ZE7D59KBDzWU/CFwN+Fu8bC7Wb2JdKyegNIsrmbfmyBmJyhSo6sx/yw/nzEYQn918bOj08sEYMm7lYp79Z1CbUD7RWbfXsazZLXTeFK2rttgoktNA5dWtbM7EYf6L2pKo2cXWMA0a/Rfm3kGvRD5mnYWsBu8yKtYNaRAQlv2s3wx6RO6H71f7/WyBSpklAaQnKykSn1njdnpj8aQk2flaNCyaOpvjMw0f35k1NpUc7ie2G5q+2rlDqB2nkogICEpqGa3VUCQVqdAhsVz2VLyMWbPLaPjsdqEAwcAY26AfRFNpxyedFtzUiTXYLGdadbWs4tiuOchv+nh/DlQ76I8XlEhBTSocmthmGB7/zoDTWzf5TV9BJqm9WYpa9qx6zkH225To0pvkhTDvuMxIGsqLFQv+dxvjJNhceJtUl7JOH9EMVgrNJ31FgdsJ5D6sSGF0vpZcqmGNjhV4W6TgLcEBgeLDbA54x3A48Gw6zcqfoOxcMWMbfePxapzLXnZZ2pdCUG7cj1cyqVENjARk76bleLHDC0u+u/Fbj042IBkkgfQWTVeHNZQrdT0rvOsOYGJhU2MK6zBSeu9WfS9fiL/G0P7jKXTQ1m5fU6DIrgf3aSt1k39YkMh/GpXgiPRHZJqAu3qYgbRicqoj6KV6G0RCJ/suJUflbKTswxfl7h71WWb10LXVzpQBw9NVtuxFzjVKPFjNiVBPvNm8seelYZW4NqhRAfQrRmd5kw5zJsL9MPVcKqZBEMQ0I5wmzqINOInLzDqsl0M9dBOpoKaMlzcnVMCugVfWLtQsxnSMyRI9MD9SKihZ6CNOV6hKb7UqGL5HHLAZbeolecQ5zlCgOIoWk9BBOdG7TlxHrhTIOyPnvrQF3qCsJe2nYMD8UXjQziyGJxgjm+3f+6mXWLjx7jx8rgbeV/8c+48hU3baBcglNbUdvGpoL+md2mTpLttt8d1pYMGZntDrp27s53eYnW5TutsLehWQOF3PA08/fh4kKgTGrHr6bNXHqrohNda4VwoXhbkpVAZ0Ow9tdEv1YmuNV2ZlBSEuvHpP4ibL++JrCCpuVwsWaLK+K1FUAbn8mLeSzcrqQ2ag8Aw35f2F6KbTBvR59OTeZCRZzu5DVKbFmOd+1njO8z1H3EHr9ADskfdM22bh82BuZNla3+0f4iYYCLzRvC3xdPbrrIMr/GPEP9r1A2FMBVmKq/3P1D6R5T32b3d/VOIt3n2mZnfjR1ykizbxd/828PR5g19M4EJfUU/v8yrm+pqfg+ffmbF9RTuPKbLPdk5lZScHIORLxtWQ86wTGLWM8LN7hm9UlWHllhfd/JyQ0wTEoZMZGX7TosRbnIn9gm7WTAE6A4/sb/SVCeU84TLyPMNkeDlsdbC2auP1rbi9mm95bm5gSziksAiLwtko13SCOJzKZRHVsOYwYMYIpoatWp0iSG9tEngrV8iSamvWw0TXrFt8q2KawSoTiog2RZ6dh+16mLMlGxIcp9NQP81rt7C+N2U/ySrV3Ue0Xv3UJ/8DWTUzH8kbpqY5kAK3uCAAhzjNer9YZ1+ldk/kapM7vssJuMbTKqMIMGAfw6B4Cn6dtupWLFKfGzMoRkoNgYp0f9OgU5m4F47Kv70jWunkx3zvTRZz/FvNVSGuPu9oLgBsZ5qzmGtSyl3ANyA/4VXhuHWg0NotcN7o+ok0JU6H4zpEWhhWGgQLUxrpv7qABk+ITQ9YeOU0ToJfkbkEyzoujW2LpOrpCUOfS9CL8aTnQVTqqsrBhxjXN0G7WDwKhxPhV+eTAMErS2R4lK9lFmeg3gAQ56HP3W1Llch9SRTZPlYbD3+0v9kKHEs8hc9mi+n1FD+1yd2VI7Qz+01ZfQQmKhm4um9c6jBSgowKXmHhR4ySDxCxYinL1VUUJxjYvuprOP1uPnChugnH2emNsxOCgRxxtFbj/itXXf5ccJgU217XMDSgfdO7yQ1+4xTB3e3XIPz/jS4nKx2mCla3rBtcmkIh2P6/tNDA8MjoFUN13hNmwZdG0hEWy0fxM7qIog9oy4Smmk442uldO6BT6xgqSArqlRXxJNP3kWEiPJ9xtuvwrPy9qvjXQKpYnVjI4nR4bJLkLmMyPYWXbi3kkHlDYS96KFojFO9XFeqTWiIkWiaw5SMzB1GW+38tLhLadAY0RpRIctqJZDafnCq7b4gGHrxCkS/L+s3y3jANmSonFksFD/x/CI8LFnFN9WWJnzpPfGJBnb00sEfJFN/IOMBk3fWDgU/V35fF4TQRu7x5LgCQ8QzgihCHEIk2LwNMrKFnPsseBYFh95zJAI0KO+nwym73fOtHr3d66xeYRwOxQhAgW0gdun2FM1qjcrjTKtdfaQfB7LW2tF2f7+svyuM9PzJfQrnkbgz71a7wSyCBkaLFzWhph1ViVX/mABp0qJ/d3O0VBv8WluMvFQw93TugNrfrXEik5tIn759U55JbbcDVfSkMV1gest9OLd+2RO02/+hjIVOAoLnWL5Y+6AseBWpCOewuamXAfsNIBrzvXdctcUieQ23q8GSTclNQEHNJEba8DCHRFz77agI+qhVjcQZEZ0IsyRw6ylBfpt2tjfHRyX+2YeB5L7Inix724adJMWLZDkD943Zv2Yz5Y9Vms4EXj45Ap2uzX7k1cJ4w9puDRvlVDXXyr743FXeNsZk9HGcbcNYrE5HNWMpugjO749gVakuGBshAlFj/bPuA5VQ9JWRS9HDjAZcNQJm1bKxTZC6waot/KqoDpyY/Z9F1+iuzSdQD88r7dAaYnZSSFSD2J676ET3ZKsGek1QmybA6b8vr2hqYrhFpT5L3vcBuPq62mXgXK3dLbQkycAIjWwyHhvRh9bgkjkNlU2Gx814oa2X5bm3a/r+ZkmJj9AgGHBG9z+/2vYvYH0j+NF9m2ye1pWqJ/FUbOcWVJA0+yWE+PdqOrRK5yhkHjLBrYo0pXQIq60zkTTa9FkpRRO6FaJ1jUkUHx4jBpsbISjVQUYK0KewrQ3BsgNic8nm48HHn277XIdSvw38Knk/NGG4UUKdaT67j94v9jvw+hThhOw7frEfZF5EwPGl/j3Vmgg5b4oq7gyDEoadkrvcm9UQPx+6QBxCA4kVCZaX/iHHkE7Q7dxieHYd5EygRQjE2W9Agv59RANajNHbOpaeK0ChSR+FY6vwPj2wMyPD4bHJNiBdFyVUsdqdimwuTXdUEChvWKHFpXUSPU4g48z/PFvvSxQp69t4E1Iap7PsZWU0CX2xQNrEbq9vy4NSKbZGEVwqMFMZiPCg70GUx7sUdfy0q9T5i7RVA2xZR4xmgEXGHS7961nbeQnFG+g0LYMFiWdEOM5SZGv+rLkDDKzDRazIygNe9kM8O+sZkz5KHfSA+DYvMwjegGx53pvzEm7tpkgNifeNaufAbB7wBEEX2mDm+yeZB3FfXA5ar/KzCHHyjs3BnLzF2vey41WDvBh+1lWFxa5/oktN/ly0aW62SNJfj7q0Tz/aeCO3Pgh/hl9GM7Gn96vcZQjdJ7r4bEExe3fh4N3NqMAFvixWRgRNDxXZXTtoY+DvMFog5J2shCVyJVD/ypdm1qWvvI1CRYNuNS5NQP0T5rFGTjGqzshhdKzZYNFi466i6pU6CydqWDNK9TFRplH1bXaj9PSLkDRH6FkvOsVUQ3UD+Nwm+V0qLMQ5mhgnyNi5Uv4KuLVTuHssQbFXZ0Pn3V2dDs0aJo0msbcCIGPUOcNkCOPTuA+V61Qy7T3TU1Lg/aNK2+fwInvXH7wOIcaT40GEICnsMN5FugfmM8AAxXSHbTlG2Hbk+rfqgcwRL8z5k/y2I6QCeUpS8lSXXrxb/S/61gQ1mILJWaakVV5T6IiCK879MmyBGko6ApRRL4u0L5jQ8wyEULvKaoG1FO2Ka0w+qYMCwZDwPmc3MhF0q7eZQJIo/ybMjOd4Hz8mcfmktqrwZdXgAmRgIB4brYLlslmbqtTmaA98C+9icSM/NpQyLYqz/UzpnlUpmNTGJjOazJRdg/w+IPtQxQD9sRBbXcZ3UlVlqVCIteW0lYePQy1U+ulP7vYYIaK+4KCjoIN1etVhS09H6qdYEbu82i3VMXFjPlVIw4HDwsQVvi6mDQm+0ozyst6fkVhc7ZyunZVGZ+lS/09kOdeDjh2erfjSP2N1KYNAPSV3BiRx4SfsrAH1DlaQOmtrkc826vbBURHVx66cwToqWjXADg+XZuYzt9p/VfrtYmvUs5Mqxf7RFa/dV00Sh3swuVADyqwrjo4JLJCIz3IuPNDBz0QNDHHTU/wF8pzPxAq2hiA8QvDH4bBsRhXTK3LiM1dMxlll7hCqncGQ+A4ZCvc0WUYpLbtgXKpl/diFLYpEGgllPuAFx+oISlDpcHvjW8MwHGiVW5dgG4iZtdJI2i/U0CTu6grdIpNs0UCm5BpamfhWO8R/qau7cfBAE9ZAyNgPF83fCBoU2UuMzCeN6M5W5bk7bc7bkXabXxdYVUgWrLc6dbPk4t6T9PdZZuqutdpTWWPxVXzt7z+3hO4nAxakxYRTNyO6+fqATKLeaFNXa4ArrkYWQIjK7UhJwWZdf9YQSH+JNRlsZFmjzpKHkBDovsh/7LhWtRRUItvDRccm4r86S1reonMwhH8UCQZjIdwdaUOTmnZyWuaDhBcEvDPFIjyuELEFlKlZgRB+W7E8nzQTTalI9bsZDxSJzc4mA5mWZ7EVYvNMEGXRgQqwPMDZfwIH1+miG/WMJB3SZ4azaJsnSgimMhdbiaMa+u/RzIvnp0ek6QQ5kODU1jyOBI24MYUqMgmPfgbjbCQ+itF9Cg5hDEqR2TxVj6uv8/wWgICYETPZQi7+DkfpqR22t89XflXWkMpuAfVZdPSSL95OZTaJph46XHmSYHvuxjho3RDpGttkTuh+fhc/5AxTx1lgmiJ0nJQKIKWuTFXz1RjA8FGI1+x/PHBFKIVlYdCQefavSedXnJnZ9HdyEDENGvSyD3SrlkCF4w2RHXWFUDJCAeoDF4vDSBSiQbfIBET9cDaA+dMLz5MN/dVhmhaeCygSJ3y85lKn8Jbpcx43tduT4hoRrI7zXT2e/i96x1p+Em0IbywinzqNB8GmBQRWuP+K4PXS9KfOf8N8VY7L8zdfU7+Xm8IxYYit5fo9ViRWPHbYuysLMDIyJSUonjtTlug0CHS6AlnbOLv5XCxAvQOZXiMMtp4cnjOuaHW1XspU1kSgCpstaBGequIP8JWuo5dpxGgy7DNWS7ePr0p2LFfHq2WECTmA7P5JilEi+QjImVE4h9lQfHiCkBobZdKV2fqxC4bDTX7hX7ut/O+LqAk0Wf1CH40oXucHZjto3/X1NrUnIwch/CJSzPQ/+DiH6YalHfyhGoqsDRgpUmAU+YKvMfbGkusXV4fOxn8o2mBSsYT2WZOf2hP6Cg9n41Uu3+II/8kqUDmQVmyC5xIbEL6gQ/TvlLkJj0jE2+0XO/w0gsgM7KqL4Bi+nOVLr+T+R4SCBpCnyMvUr9UDmWlaN4U2UvTBGX63bs+XPVGFbsK6v4RjBkZi3N3myIQttaOSK6Ob01L0LVLifb5ShCYUY5SQ1Kr4hV0GL07Q9PVK5Se6+C92pcv27DKYfWKvU5tbiHj0N1EwvfVLwtwy2VmocL9WuETR1RagDtVJgFg0d0u1b228ozqzkv0uDnrQGGLO+PbkPhaU2tYAHDySlE45khMkskabITp+Irb8Ncg8VshyvPni6Gjl4mvvzDcodlH+SRel6cwM48KiiD2Q3y1dWtibFNpcqP1egdO4lqhraHdfeNYfQkf5eWlc8poEWxFSU2xIwZJN5K1gs2WoC2G8YQuuchLE45Oy++Gr1o5BrNvGzF4BSa4DSVPTYeJGyIIY4QZctxrVMtQOsJFVKLYMPXH/znZBnfsqypNfEFVmhHmI1ljHXOZUPHdv6r0ThTd+CGOrwZ+tSUOME30cjQlAp0PZN9LJ8LRsJfkFIQ9E9lFgzlVCcherySxzFr2F7+7ygzfNLnAGlla8ulrLnN79EK8IjrGzTZPPgEHqj/YbDC/WkEDZCqKKc03ct+o5Ueksq58whlwEmM3V8CtF2J7ZuFATj6/6VwP4YLkAcCU65snH65CAOmpxmRYXp6tUpUWvRj0JDM/dqo5Yi6EmRQVJcy4gptPg4X+AP2uzujgGFbxFq+75LyJNsOrEguhFZz26QIW9EOsdzzdbCYnA3v1KWifhfmp4H0hoR9DRac+GV7H6OXCWXb0613SfKX1U24SVZfkzweqiSVZKHqUZEuIUio1U4rXZCqYiEQgWvq8q09mA0p+dWM6I7VREMz/vO/SMrY6efUEfCa2MM3Q7/4E+36bwQJR1JCfy8w+9SMyZENd7EvXeTfOf//r3Sfh/SjtJQJqkYpTlPZGPcV3UScJ06LhtyKATdBwZzTWcaLlwGvRG5AimwLDpLgzYKS5i0/dm2WVfDOJ6Itl2SFQZrHH8VYHL3i50ihrFSfwGvmAgYWqterwQkz6v/MCs2S2fqTytqY4Qyv7sDaW3df4pwrEuxDNeUL179rO5zTSAdksTwYgvcVAUNy3il02EZno67Hg1qVU3e5Nix1NDHjSqmkeK4CQvnsjUvjqkJVFLBoVqY7p4JOQhJ8zq7+p9ExkoAuRRoZMkFYYRzkCy89YTD4e6NV8oDIYKuMUqNc8wZYaeTqdRgqpr/sB/Hhh3rOBqFQl+4M5Mx7YxLONqlDXth6Gm/gxP0Zzht6YGre2k4NLt2OW8YQhvK1WkJV8zAQxHNvl3umwC+4Of/NH70sxpJA5Aprm++3ND/sMvAXPUJjW8g59pcusd9K0nQSRIon437uQ+57LglvV0QZd4Jx6r62DLdDYaa7HdoCRltns1BYIvEOZZujig5aKj6bMLrgWwZxhNxudaE7Ppy8txhwQrLLHx/9yfrr9dvQNVL0y+t2O6MzCOHNUsMlVcUHIhTQDlg8v40Uy18DStB5OkW246ncFmSeN2izEm+8UHfcXiB4DEE7tBaXba8JP2Fcd3kqDATVzVOPSzcEPG1g9F9V70zVtfoX4hRmA/fnvXNaB8TieckFDDK2lnBQ58jCxQoHoHLqam5mXPOd2TAuLDY4zX4PtuQfC2El+uJ981t5gAatAaoIm9uHEJ2UnCaoKpcd6hP91C+gPNoI+R//R3sWCyqvKdn29lqTvgfGHj3G+VWqAboQqJimB6qBcpBKhLeU2aVqJG/2flJG8/YtrWiZ9d4aMdeT3bJoq2HqU9SK9Z4P8k9mWebGrjbyACotkrclLsi6qBoizXHc/qutkdTF1wa4G0bnjd892KY8fmQ6p57so2cZ82pBPV/3CdqQxwUVXKuL40R2aD0ypVo2rCmdn2ABEhCWXQBxzc+JCmeXh9xcIB8aMgO8x9PWYfQF/uNlIgnTYMP/iHWF+95k6exo640BASFkDHM7IML0rXcoLHFWQjuFcEO8ET9ifSUBHAttUCsbnb8V6YX8fqAicSepyETvxQWW2h67jZRrQMYjC1PFsX1uWl/JVHv79AmJrc/uaB/AdAIJt0s6YBWI/oHesp/OOBts6rgkxKkTy1sHfl0rLj1USy8VrOVULoHMyJDZoCD/yT2ZZ5sauNvIAKWSMxKYliFSGpgYQzLb1+HPd7fucLN+DlA+Wim3E7q8ioo8ElfH7pNtK+mtSleVQuPvTM7ksdaQBInNseF07rFXJTLYZqGYDVVDbKCzzY75XdFsvKx/TlZSa9XGp2sNwRzVsRyd07tbZtEWmahX958hMPmtv4UTlv4dwxgSTzq9AwmbHGeAhc55qnxZSwnUWCQ59DJaWzdVvf7fH7Ib9lvR+P7XkLoEYDpaNI0KGUkLK03kJZf+0UT2OM4GYJmcfk4CJKsa38lvo0zGlWAs5j25nYCAAAAAAAAAAAAA9FxQ+vYJr6k18M0yzLkDlzIe5bsiG2BnH+c2KCDA7y2+CqBEjU9+YSyTaPR9cJz26qGP/GPmxYwu4eCngjdIB0f6Lsc0ydXp+xqdsOtXJl3X335p8DJ93rLE9T+NHp6s5HngAzPcIG32uB6BOPlcgnz07hfMLY3qU+ZaTlC8TzxHJSOJSSu9JzmuQ6/kMGvvixVGB/kTwHP0enZd3e2aaolREiuSI5c3pwPxhSQJn/tXw1JoTlnwwBnL6g7zn+sgktT0ouNbJNpC6x59mkFy/OM2l2iZ73meZvjrMaReEFXSuB593TVzQptlDq4hL/7s7xyzPDyfKR8jwYoFRJdksuvJ6p724uG89luW6nTz2crt//NrlVL2ERk733fPy+nIpCTcpjVwd9QhrFIXPLlXSl1/CNaWjg1AGH6vmrZaeq5XyinV3iur073ixpr2UWTznF/BOWGd3v1QV3jTnRGJYCh5yfV45TNbVIRm9nVT4kAAAAJFWuGFtnjPlOy7Rg6uA8QP0o4JHPz2b0KQKhFAQrd7tgHAGqkC0qae/qeANf58T3Y8aTJx1q8+PlduVXlVwvqR00Z6ZHtr+6JcA39GKXayoP3DbG8TjmnkReu63cPlesvgYjekP3lif7AWTy1/1XC8ZrB6ArKsJDc5745VRHbW90VqdWR3+ZQNCv6b9XhWfenUnJP3eC8eq/H68J9mRkXe+O09aAQlKbl5r9JNqZkr/1c7PoZ4fBeD0bJHJ9ZzCYX7XnvZ1Bnc+RnUIyTIyu/trRjQOw0yGMVjHjKGsumMJsM4JodSR9GNNGb5RlgNHPjsv5TK8SxCSiEPLdr1vD8J9txQ8l8Pnbyi/4KXXGUMslE7ur5GmRfn1XUUGHUAAAAAAABT0Hsg3kovRhBwGYAv67sb22Kr/clbyTs45vThA+qno/JRZJpFRfaxW9ZmW15XbJmh6EZZQpil9QtvUmAiyrtYxNCVN4pxuNwwGe+Pgbhs9C1ySpPgtU6MSW8cgNRl35Vdq7PuOFh9IZs+499leZ6GDym3xSVmOQOHAid9mHhTpDVdYl1VIumd9yMp2NqvllMQGVeUIkFR7LE6+s+m8HoF/5A8sY0tGp/ZwqBA1sCGXblyttYH7UlvQM4LAL/VhPJDpnLJ9j4+M5C9t3+AIWlzTzSElCGzi4pTYuFDUPl1NqhJsT1YkbuEsUemCEmHzDnqrquhVVcsKNV++ZDMpFUgnvxeqIHBoGvm3gld9UnH2SWBqZvRcjR/XIYqs9jA3LCUujKl1M9QTtKPm9S7GJqnwlClPgCpvdBzQ9VgItC5s+dp+StJokb50gBht/+WivReyDx+KWGaKCMyZFrCpRr3JtghfSMtxWggkTJK7jFtpfKzQ2Z5or5I3jRXCpCmn9AziWeoL00rkII5T95Aigij+Qa4CTCOPl33HsfEOF0Ljlbqpe2R5AE1ZT9nAKtZX9I8IdCpPBUrisqKz6wZ8Fj+YqXpxNva/bxmhMPRoC7Lsy/1jThHYiN3SoR2nifpyY1WjxIYOZvhLwAAVmh4yat1PiMn4cLPOU+qsQPLrLFs6as32VrsJ13fkrxhaza0Q17oy0yOEyOq7JnIyPzgDKKbj5MUuhzsmJU4+MXswywEXGPGG+RHSZm1Z0mjDPkHk68XbFlOkok9ixilHQVs28k7Iu5jIy5LIw8ZYMp9cZFr/I75N6pGcNM+rVolAFyQ6pyOe9viimGffd+Pa584Z6uzNSjR6EWYNxwrQaQ2gm6kcezUdWRpKWYFwI8YBkN7N6du8KWic7w5Ni7zSD6kte/XlDbl8A5b7aOoGLyzSj0y4Kv5LW3mrJ48q8hXnLBbaPtOW4CntaJKTjdLzt8K0hi5dd29EqTK6dSnoSZXkWAFP8n9rjDS+3lOcW4vewMQ9ReVN8P1NsKdDq+BK/sNsq4yOzGBjIOazRuBiPkK9yt6Mi0KEgJ5faaD+UlhWYWu1UZWmqiwiHz+67Vjqxg4F30tpPI8UkWL0D2LwgebG3xiv3ss9A9UoIdM6L2AOkbjm7Ueg9pQJu6KWsJpGPxiC0tQEzn3qD8jJF+zbJZ7SHRd3d/75qUbrmCE9SCvgYgpWKhHY4lDtHLNiUQ3EuqhhhD1IOfUrY9pwWXnifJijNQx3VPQwFcbWyxw0P7Ub7Zv1FHnVMXkKFECoFbM/I4IReVpzYENupXAS6+p+9YEzA8UjfqCLh4RzD2Ppj9i70eB0D9SiRccSXaeUbw89I2JqkYeKTlsTDyg+ncV8ekxyWiNjPcL4uiu2mQSl7LjjXg09lTDsyGHmLWP1wHioXKhU1G3XqRPGP8rB+pn5gE5Zr8YtrkN8e9dsEQczF7q4/vmn99kWL0s3YflMjFiC8oYnY1EcWtK121G3ovxGNqAICK0pIg79ii4moi+ur3d3ys09CCOUV59pm12Rv1v5Vd0p4Pyxoy2lTJBy2JWs4/270hJGwLA2mx3azwxNopZqw0qn715RgOUSw+NlvPU9rz3deFoyW6dukhPew1l4w1V/iyb7CHlIuT2GOuDPWVTNM8z53hg0ZDQhHD3MjhLmoiwWOZ03QcfY+tjsjbjKkZ2eZNkx4L7lHAj6GTk1SkkTtoG//2Mai0Wy3E20VqOUA1kYwPkAhv9/JtL0suSleLBqGeCW84ymqC/mf6rlKVaOps/7fsPLSpwTUzdV1AHvX9CMjWCDGtPUI2mqOb4lEXBtL4rYpWAvmQ6xLpL8REwx/BhEPwJRUyxAk8zK/7KskccE6HPGkKbnbWqPkeSud/SOi9n5jtJ2VH25v3pygbhSP2JHuRbUKyyKJfnQ2tq1hfK4hlufU59znCizvfCL1Woa8oqsv9oAyPfU5+SuMAl/QEWfB32kLnLM4LZvgXc4JSFpq4Nw7HwHq1LVA0PgtGdsytSbDDqXF4cImzGu0yqK8NFL89UJlk0y53FsJ/1n7WjtFFjclrgxKZM2c/L4mWu0Z9Y4aAitTHC9FEfYUXe3N8dHBzMf1/WUk5cHEyLeNQqb6O/h6u6xJ9fwieA0k0ukBRXoKAAHZxiuNfpqOI0nNhSkaiDi3/hiEXAFCBHH+jOoYhuzeEekRDnQMDw/nWwIrVK4N+Gf3MjYY2shLWz/1Wc5+3iULAn6PGgU6HEgarm2YcvAsyZdgXYbYXCzUjPOW8Z+9qLuwcjf/7QcPvWw/+zFEfH7BkFtWzXLOrI1AUEPxQWlZlet9v0X8UpF5sniRaNEUWif5P5ZvAiDsFiM4opigjCKs1+hIvC9yGC6EHNAPDtPdD+wXyRx8ktOu6gFSr760lyWQrn52MMCQefi50zBnWJ6BWI95Tqu7tWZwj88Rv60Ln5vkxcaIjpjYP11oaXu+vZu/gzM7ADrtfm793aWJL6oo+lzFZjpeM2dDqhHxd3DWfik7+JpE5zl6Xx/RJoCAPW8mzp9rGMrfVT3BLRslAmZ9tIfQdvD5f65TyAS4UBC2QSF5LnISbLSRf26gFhbhsyWdi2rKyqdW/FvmYpW663m7BfRPwvxOD9JNoZWlVudUuY02p4Vv8kSYhJVf1qLIM8Hedx3mDasx8Y8N60bS0CuWjp6YG0I/8oqp64J3QpJ5/ys85HoXYBcsW6vnTmRsnOJxHyFPDI7/VgA1/ZnUN2BtmaYFdNUADp3V26oOSSJstMNXK3aeSvxp+50snNipDODLAArmjiLhMUIlAl4ULItJTpEstVdePP6rTE3XVUYsVCXeIxLyLThuzUeig2gHoIEITQq2303W7zrQf8hyqqw7geMGD3Cc+nbVo+wxHHt6w1JEPOxs8uiji2zdrFmn0IKA8f8VQxZQGaavmiL2OE0LipmNuabPCiLpox0v+nRb4/hHuTM4rxtDT0hdU8CFUl+60LatQEuIpwSZRQoqYm8S5UHNTqBhUHpDecaiJx2CdAYT949qRF8LkWggctHkWau78wjhDI1jgEG+8PnCwJ6TpVHu6OyXCRjB2Zcqaq3lFyowelgIvyVF/FiKCtu2B2ehaGzOPUMl/q1Pc+JIuqWEcrgVPbp9em7FNNPjPMuc58f9k4Oor4yma60sCxhvxJFVlf+gygQhFt+SZk2k7hNiJF5YriaOdPyDiRhsLVZAaKZ2C+nboy3/wvJrDqxEdBaqom2qbB4jSBNzoeWlodukNeIHU5euJEezmVQy55TV59IgvWr8BIiBGhSIAs5wDdCL86dNFPpr4L5dVPbbAF4lll39qVh5ZKSYQc2TPdoMOSZH6EsWq4AoqmAZP1CzLnkiZn4FVBfdp419WjAI0sJueUiWoajs9b2kManFLLGVEQ8L14CJYbLBBAboBBzUo3iF/zFFvk8VyyhgkoY3lmeyg7iphoF52NC0PmD/ee+QbRPmdSmvEHDry8w0CK8QFjKTIDUxt4PMkMLk89GIE8ATLC1o6qWvSx3Sc1UdXVqNvwigQwvp5XGKgAfCPQqMgWLS29Clm+Lxfa7q6N17iljZ8gifFRZ8braLwOx7IPY0CX4fngqD+jYuFDY7NbG1Lhz3wtUJQWKtT8jU15+KKGEE9SDfpCYZfNS76cd9CAZGnO1+FEQx9XDErGg6IeMLgq+DszbzHeZUj9EVZNwLkYwZp2dkVB49+/va+0c2QOwe7Gcea/5VZnqOO37sZFYVwIrAdntgaB8eCAatVTLDc7HulBD50lZscHg76hvjLG6xWwT+QcpsPkFJvtNflIk6UXygssEgMQGAZ7/oGfOs4Ln6B+8ZlehV2PztaBIPcYfAugRwuYnvy2fu4qPeq6ODnXBlxON0kYXLhPaQ31NE1XkqDfkcMzdhOh47/AjuUslooFXzGqJMOSDI8ST3Ksj5IfSTTDM2YDRRReh4oKpE1QQIGmpDhwh5vTvTGtpsCU3K97McvF27N3ks0EKlgd67ZcjrEUT56neHY7cSdBsAyy+Bxgs/nz3wKsRyTBOFXEli6oXCLYjZs1vXKm/LT03P3FieRksmLgBIK0m0AXuzFxynn1j8S36Nt95RK9i72Gxkqhwkg1F3Xi5nhAcmtf+rm9iOOIT9TgfTgPwwBT7tu17H6dH2abRN1s6qyIXk+2pnzFnIFL2rrCyfnIfaJMlP98XKgwM7bG0pMf5Dj9y7JaW8qwwRBrAzPJz9XPD+Z+Ym5paeyeV/+iSGTOeVXyAGFfTNoi92jmG3dyjwZSaPOU4FhyuXt33TDnKqnqj07fadE0g5Ij2AygGdL7p6H1aDUTGLD4jIThj/1t4dg361Mpca6o2nJ2I4b6I/Yx8I6S+TWtV4pPmzKtF03LO5U2EYPjoiLVdhbFQIQKAYOG4cCCzrSX0ABl6ehV1lfJHRNCgmiQWydLKvMADx/3LYES5SsLeZdkl+RflH9RWgKjrcJYosXX6+6sBxBTaAjsQCnx6bj5aJ7BnNp4DuFmdQDkOVGjBAW08X3CFVRYgF6WLOIDJmpk1rk+WXkjVzFAQMCIyNn1BZZVXn7uEycAg6UdvHhNCVN+vGXQ2jtFnxekdfDD6sOLZceA0nYS0zgS70TKT9/TZX9bJvMd0j9mpaSbiasrLQ4zPSckxYxarXLNJQ+E3iy3OhoILcK1pXN0tQVHy/CEyukq6A4KZT6SzqsMpaBi1c38uUOkjMM04Z4CmOgflpG4a/mDgWmDPjiWTqRrsNZdbnhlv4KF4k1cEKwWSYJMX9m3f09PxwrmLQmPqwJ2JjABqBk/+FBjT8SMsiqmQ5C7vks24ki+kUnZnWnUG5iiRCxlz+HOPe+N0zRgJmrG0wjLZ7EjafmhoSz2jyTUJC/fd1xwVdahS8uvV6a4o4tNuiF6K+xraaFiB4xr/erGpuepk8y9XtF2f8kaqaG17tEAzJnt0Eyd7nigFTdm2MiQYZD4Ns93VzyimJ6wLVThF3vUpTEzyMcsoR2Xow1SfamjwElv/dfhFUzGKKP97W+4/sujXuONyt/QSB2KMY5XgLeNLIeMG+KhNqrdt+6Q+l6MAnL7seBBApWD+rk3Ln5+7+5vnpXC/yLrsw9LD1DeWyqgQPadCi7L/AZKnpqXhcG5qHsn5OnEX+FHVuZYkXlCgQu63MFXQhtcxYXT2I+fcdsJRtzz8wQRUN4I7bxLAkkx4S61fQyGNYHwN7Jd7rY2AyPg30/Wfilh/FLSFC5K4Kx5Pfp8TFIN1mOaxkMaOMJU5KB/dAOwt/j3haSd5pFzBSqvvUY95rkSro6mSysL7O9ZZQ4jAHGe+z8IE1MSjJY2mof3daxc8IwTgNAayseCHBpbufr2pu04+OjLWuS3K8jGusVK52cCbpgqrSiIrLOp1YYRb9FoPLVxU0C2pDzXOwMgPQn6NETi0/FXm2l/DmD2h6cDfCRyVwTfRj3KReFBJ8by83mk+eD5K4iut4NDO0+iDXZ5Z7XTTg8aloBdECZhpMSz+4FVJpbeawdHjxtUTepOrOWkKM0N1LPQmn/5A3TOcH4AMEsgHVWlq/fcp1DCOcgYjY19V1vkDQgsyd+gbUZ7NxD2UgYur1yB7JEj+T2VbkyXvPaDGyLCM+I0RnAlMzudHwzk/uIHCZMwll8F9P2o1Sy67l0mNTL8/aXshPhKz0dRAVm9eM+5aY3jfoPBaRpX+LCAuUN5SYGcNjJhGa7xM4MkEaTuLaXBU8bS238+DEcwk1rqpq9bi1hH2iXzi87MSN8YLQjK3j1b7JTyocia0gUOF65/Jkxep5hRkS7XU2Nzn50u6WDDm/H543js6aed/EXMyeI6UaWmhS7LfIgZFXujmf58g5AYhEsEEmIhAkm/p+9oKUNVkdkzT8j7jOm82IJ8FDySIx9RMTlqln0imLWJTHpXZha4wt0efGbzfzPgQn/HhSmXRfQEtamnE5YvgoPBLuXuGQXBCbsaUdMM42YMq6avEJ3AFYUnGwyBp98rfU5Xnyihq9jL9qnHcz/m2hP04V7DPzXLuFA1Wco6Jh+qa5NR+UzyU1h+Q+HYVn+Tz32ePLFLDM6+2d3DbtVs8woOGglHdWy6sgktp9MMejoK0rb6KUMSKp68r9IWyhItlSkcpOpeO8z81341X7IYRVLG7QWU0wA+MQtnDpLFTT3qwLhUvwcxkV7KkOYJIKqTRWDGUk4uUDig5eSc9FKm4YFPhJoJUYrEm3bfQbmt64qFP7RDVTd1UbAqHK2G6Weqoge99lJbAdCMMkoI7NUayKgdVWR3t+itFjymFWUq1E9pvYNRBC+txMbMBcCbTWlqlmZf10Y3fD2xx9xDlk+e8cuvEEjIMEuT/Y1KNmAO/5HsyLnuqacqebHG93Ev50FHFfptItour1aIHoXFQMP6M5jJETsF8dwVLJ8menKhRAoi3du8xe5osn8RoA1BaNt6fZNFJsnC3A5wtKrPY3dLMIG9Bck69oA11szbQJziai2CD+JgKosBCXGTuVghf8z53YGkkp8NmEu2qpMQLM87uQNaa8ey+g47LCAuCr8UUXuBIndqngtCspDf4kHy0JO1TNdJdEp/m4MRnspwJV3pQfb9LL7yRiUwxuJf90LjlIDT8Gb8Fp3SguQt/hlPryMM6DS0yqwL646hQw1YBdeWV1EWrwQqKzEWgw4U3EtlrLPEtJhzb5uS+d/1wr3H/APLMtnDcmOvwQGX9Y3W10KFRobjJC1SDh8Gj2KRi91laH4Oh5dQOos3Emj6LmP9Cel7OyrUKFgbjZXhx6v9fqd7Iv56be6Rf2e3sBW7J9gGLbA+b7USWCs1TXf2pAAQkbWWFxlaWU0/85ecyaqDknA/3wnfWosH11COD2Rk/bGq45qXmEFnhW7c3J4TFkxudi6Kv9Qcteeq67+aGbg19hnycDc2yqNoYWtM3P6WnVIrnBd6kscR04mvzuJv4sjeDPBHJGy2aHGbcI9kzbN1nvT7/lT2GiBLiYeK6PxjkhDC6JQo57o+uQuItaoVFJRg+FezHecMkk4vpxLiGfg+X8DVBQ12Ul7I0SekR4n2E3KCaN20vgfLPOFOBC6i21RnTFtEA2G0idbfW68aN/exPzj/eO56B7oavZc/3+7PJ1FyUNl+z0LsjUgYnTG4k3d5algYbfctjH4J/JSf8zLey/5p2W0ZNTW6+g6NLp0OO7Rjs1MnEGS/CA7uBanJqfqoJvk0Cs5NfEV3oLk25qpVZ9ym6wf4Ye35BkTd1kZ5lEvNwe2m3n3ciDJWZO0rpHREak6GcCAS/yWmiJfSaKo7qJadOmfLp7zlAgBVhFzdFFdTEzK1uC+jzSSk4IKKc2Xax6N3R4cMda9CrD4meZbrMpbNG9mPieiTzkjAmxfYJRdmPd0FI5Xb9oaXHgGLnZkuLWcaQPjGxtE7WjtGfh6DJiDiAHnTM81C7SB+PYL95VWbFmRJg/sAH3v+51OWTqrVtBSMD11dVora3n+DB4bYW1IKxaHE2j5nqrmknoolYGlPq8oU+iCGrLNEtI5xDwUewF8jChYa6P8pcPcRrN7qWoBruFuu7z4mWu0Z9Y4aAisOl5f8vzwhfRRKOx8rIbHJCfWn0/FAU4NwOQLwkkrJu3g6RqP6wgnkFVM7i5yKwWlqN0xNNGXPhyd0WXF0sV5DTnaxQWvAYJDW42qRq5O9vMlHSHmaYr3phwfvAtNRrPig+5lXOZkPZHAUZvFWDLhfvuD4Ao0Hb7G10BUMO0FBPVb0CwjLL/f4yYKdytVt2O7sd/5sGDtIdo3xRDGmgrfEZo42/0D8na2dtk0bS67VGo8K5otFbfu36RbmTrSDSw4cwmFaINyLxOzRCMsVqgWJ577BdylXaiMWrHI/9lQw24kBZcmJb/ZGeuoUdtnDzYOWuQ3NnE++4h9L7FujKQNPPGB5hDdGKP1eE9Un6ZXMWTWUYUo55vZ+FJPd7HKFeTb5PWrDZE0mTD+CYTbp23ofMBhFJw1gqnHTSU6taZ1K3B8ZRLEz1SIEXj8kelCuqOk6BT2hxmB/JAPsjAAAAE5aWiCvA/5x7aX7Nx/811FqsjrLQWT+5fjuAAAAupfEyxKYrn/FCFk9daZ3TMfkEKsCKP8XhfXMAAAAAAAAAadd5QDXxXNTbvjYF0poigj7RBmGyDW10a9ZcHDG+x2Dgp7JPkhmVd05FXoTKJUskDb1MimMW1rKKDhENtkNexuGFBU8wtgz3vGWUy+dXOs1af0Iv5gBe5lFgPLeyZ6NyPiTNDH5+yTnROpCl9iFklPyVQ/qJd01MzSpHsKI1rOOBqqmtya562JdzZ4jCglaaAQRkH6a2VNJXBt3fLmyLrdz+Pf2yJGUL6oQVxhS+ePDfJqTFMyGCCtQ2toeCZ50N+RLQAuvKNf/xa69h9GF9VGwUzmEIj92L4a0GGkrAdl35xsyWszyQ9EJfsBWfJ4xY5RqkidEkN2x/+M4Ny8rOqWyiu9nne7XNeLHuiyKmKkR0VMNyEO27jGaSCc5c231jBc8HmWxV9+/JPKchcYpG+l+liUzjaKIkxfxycjrgys1pioQMiuM6/2WhsPdCYd+gDIbieioGcCPmGt1g6sPvaFZTrTMIO0KUBB4wj9PUxlwf6m1XC9K9JceA8jjeev2QndwH0d645FdytPNvyI+6m/N+luahefeainBq8nd6pZ+tcVlyEAw11dvrFP3akrBh8RSLQVY7326jDBO5T0Gsu2hUXyRLPo1fwvDWUGoLqWzhftlmce5+bqaFMIwIJKnA8tH48ER7pt4HeQLXjieObLRFRs35AT6U05CiIStkPevM8IAjitLYJPn4E87DICSUvkxTG/L0aTtw5dwBcqcC6Mx4dE/ltc/pHj0iEl6KVhuwrVtWBUrAoJIv/nTnMj2ZMOej3fzJlxBXlcmzszHnlJhjo7BPiE6RJu/mqOk7Mz3Ey20/QgbR6lrR9gGQW0UtPvTAv9FjHUQh8FVcKDQ4gnA/yCwzEc4JObH/A5uhMoYKTPKz6oqoJZOub84A1UfSBTCT6mfav0zIc403sEtvMwuVjJS/bMCi3m0d1wtQwgCdwu/xzSfnn5Tjb2/jPPJ9WTtxv3hm6PNIhle3l4iNSAeJQIVWkIuBJma0lXnQoI6eWM4S84fNEGyT79zM4Js2l9BZazV2rrF/LtpiURHOefigDpwzGVL2cFWr0XeyPRFoglHEHwFsptNtRNigO+Oph9YXxh/HIlu2c8Omwahc8CCodlIsWi5M/4A6nq7Q46PT/CFzdPPeZ0vUq956No2Ppni2KHHfIwuA+QJZXWDxeH3f3Ye/bP4ViPH+tKAavgJhcbIT90t5JohsijVgagLhwjncbPC0eEMkxWmfqZgPboUEybTnNLfbZ4oyVJcMOOTwvyU5QsZ7KC+fX+zxM/j4MwZ07hBinaz+jPY1Mdur+dS1lBLTIAWK35GHQVvhpkEso5U47x12HCqzIvTePvCVfot10YRBrtmOZFWXIIXQhDmLZvlLS1pxasIANkvLch8SAVKuSoR4tBGl4cwJgDcjihGGFeKqzbxTId7qLKxlnAXE/H+lro0EE7sgcLcPEDYm7F6pBi+DGZrdY2JB+0vP/U18n7NY1nIVOz57BZgS2pxK/lmeqIsbRHfbRyK1dEI0LzUlkNm9p92fHfGqTZK9tPAtNfp6rRZm2AwDSq8JVwGy+nHIJ1J+yV5d+jBIAkqDZuoTuIJ4AADmbjjq74wYBkMthO30vveSAuYUWcTU20L2hwNV3ItusBx6J4vB+y/3OhU8fQEXZVgnGjK0sxPfuTcsvBSLJL3y4YRbkqnTszG+4LE0AfTerRAFcBgaXTwaw0FLNVutsIuVbpfWCNEge2+vDBjpKHFmB1eoIaiTKIvQA6gOGU3BLkjil7/hbpw5is3WXcxrqk21MH5JmJ18Bx7oL+2YH1kpnASx5Bu+ihKpkQS91GM0OCV80giX3vgEwZh7QO5BmKuh6HqaOuzf5GbtQwsqD0VdfjTrQrN/Sg0Ye0sB0aB/xvzj2/qHX4hY+5kb7jLo125BUR5TPFFQBTH6ntMwIKx1RXNb/VREOFIm2L2m7+I2Z3KSY4uH2jOmICg+KXP1jiPgADfqmhf1T/yd2B3C8RTRFY9Ehm/lNyImzH3KWXfOJA71CE0cjAGlq9noyjXeMegSDfZUREljxj3wrNHJwdKlbm3JIlTtR6ZjbtlICQ8KWxaFULNagaYjW0gB9Nu3l7ReKmHrvrsz/WLiC/xltwOtHU+rIFlsGuClJ1fhW1+2ACGufRkI+2E8+t/AIx0bcRbRXXHUGUVAhc/EPYwqJhxSGycnFKlmnmImA56CgU/0SMNei0MC4AHCcp1V4bDW467+KXkspgemi7ClHfgUzrT9qsUp5brvK65uA7twuA5bkpquSEgWlw/nWZ/NzE5DBIlh6IPulmOU2FIQOAQc4JZwgpdXm2PEOUalAAX/aFvYcCdM308ZIemttdml9BQgHcx8dU6NwQyvUlwG6hlIkbT3n2fobpm4DnPTVQXdw3DGA+ilJ2Vh6ZyfQ+ecTfw6+VHCO9DP3/CtqQ7FM0OMOt1WN8GMw2nPCHWexQk0l5pJ2WKI//rH6IsaP2tIhBFxDTUWVoQ4CecBZUBY+6YVZHwToLZGGtVaPFp3e1kihBSvw6jSMOoti0jt6YrTZQnu1+j3vuhT6ECeaxB0ekQN+aykkoM2PiHbv70xrlRVfYV+Ss2zTubwdFC0fWZAyNC/XaORtCoKMCymGYmNu63LCvRRBcAkWcilJ4klollTV56emJOcKhG/xiVg57hkKUPq1fPMDTKDnEqa/ufjpVWQmEBOj7ZyfGaaQbFN4qVeRNqjGv0uoHTRJpcH9QPJgoWFygmFjtMsv1ZEErL863Q4PZf6mSLWODBGMYi16fh0pEopmI+Ok4ftz7qJKCy37YLRnAtBRWkg39xygk9E0vTWizIPZ5LxEMbb1vQYavCj+lG5QqF/EIsFy+x6kLByrtWDftc1kAy4Qmx4HftzEPxYILGJzW81TwSOj7vvCLDZLMBjNPDga5lu946sB0P9t+RGC5gggWt92Ns5dIvDlsBQTO9r8MhUSOVJ3Sjwb5HjCwDHZoFF0pvrgYJNa36sEZ+eJl9IjB1qQBxkdSDtUupkS8IVzp7HPt356UGeLQThGl4fiFEwAaD0owxDPtRdoWX6F5v/jVk2qkzj5K5MOw0GQ+xJAy/mmaRk89ogQY/+QHKvAf97PENf0RVNI+3Q1aifH8RF0HjVORdIJYaHSPNjwSrszgatxevcwX2IQgUN1s+YU41XSMiwPSP60fIO+r2QCzhywFsHrJa0ul6g7w4PQoiqmUr2DvwHyigd2sPHZEgJjeCBKOpCMigLc6BgsDbErNXtNiUhy+MjjLV3q4TE88a6sfOkNbYT6WPAynj4BAJ/FycCvuT/EnHwH3eMAvURkwP2mochfpi/3Ec73ag5PGpZkW1tutdKKggfSVr/5tJkOi3il4vQoZSW2Grmsu40jIOgihk5ZasnPWgmWHOaihb1mLSd7wUAGf2k8XML2ujwvKBZ13j28RUe/KQwzSqy5WPWo55KPWajJ6IxR+eaCZ0DY6r0ekH2mu/LwWYFpIdr/blwIWuVOEI3b4fAtFb0UL5RP7nHFqRLNVNuJQ1+BcnJe+gpiGG0nuG4/hRDMcVHOA5ICYkwhitmJgblv8bb1kofiiQADWwBs2HD/hUzTdUyCN14990bRaW1CeQNf0rQI3X/Mn2saawsqkfkAs7Il8/H+s/0urLNEPwm9he2e0KPc7z+Y8M6snP5tVJH2niZIwgyleACdMezHG6O6Iqm1JHdRKe0aA5ZOWclCsUkT2kRiHvVGBVRckXgyrwCCez0YOaFOYF3+o8Cvub+/OvsZXKzLkzxgZ/ojW60SotM9WvWCVaf0YMhSAcnOcmtCIL9znx5q7pQaDiApclCR3jnXJhz0TcyVKoWrD4laHC0aDDq+QG/EYc5lRxvplNotH5sC8Nol3hHHZQAuyLrWxo3MIhrCT27OX7GJp/81P7nPjjHycqdArIpzpoX7vu1ZH+DfjgBbDW1jl2Fhhjd3FfdSRPhdCR3jnXJhzzo3UK4yxriFGAKmkxAsgLM01jqpE95QqsQrD/xOAsVZhGQe+tEOgfr/5tnHnlWHJvEOLJPloLcYkHKRfahZBiIEYmkT5xlZ6HTo3tzipHiZGY2g2of5xIfFtDeHGUZWgUBilVzXBhWAPXGKbl5GhQM7z9fVXCkY0tIdgAAVa0zmp9P/Eh0qTzfOvuDWYpiDrPX5mP8ov/s6KyMHtAqQcDytDeXLPHB9GRCPAsJC87xyf+ecUOR2i456GMvfAoMHcqJLl82lt5IizsAHZUAz+Xk8e0+FAsJN5G2HkBelCZEnPFAlc41xcqkstH86dw8fjmruPbPkoc+GBSPdBswEDf8fkt1WRDC7mURGthoFyMnTb7XovaaaFdboWwhlJfssqfQZ/GS5ocs0O7Vn/xcyg+b7k6npzz9maPVkfYvekBWt+CV08bfM/dU+WVbB9lmUjwqiFcNfcae0S2IZKuqwax7QlBEBUkYkwzm4O/TuT2fPyuAdgq0I9pSYRKdAy5K6j4KnylBypi02S3ZtNHOkgxp0eamMmN4VZCHoerCaKMotFTLJECQm6bycQr79BTnOt4FSkFhX6NcGvt2MKF01i8w12lSXgPXnmAAAQIblNcPGRdvFQYx0SoJLECa8yujUh+zeuo/n2Nf66PCFcxTKc75i317hOed4NxKvGVdRVf7KDaFcY25npkMnsq0qAxXQwBVYHTBuk1guDwmdqmXJhT9yrMHdMwE6LEGusZJOjOPB/b4a0FxuaWJ3uJ79KlSDnalXNnx1tWucOVjjZjmLzUJFVJiHu0EMGiW138Aj819+1tUFTHzgwosbkOPrBuQQanmQe84zYxWDWsHgFHin9Yc9+LCM6L14yXn8s5yJfPPfzYFTeyOLPhyFOr1ILzztSEm67lrOZeG6vggFm1lq6l4mrr78C0QCejUFWsLlUDkEd82mZWAJpRfczR2Wr9wRvulG7zvKTUO3tWVdwws36n4aRoP/fb40Hm8bMMDnpQJaQHMyln/oHgQwtrYrN96c0EpnCuMnDxZzYggaVzciI+LwnsLU65JGlTpWl3Sp+gtx5oEneySQ++MVn+riYVXPGn3/7J4BfYmmGXEWo5E9ycmjB2hxxqHPRW+0VqK4YpSzpyYkNmlvAMMbjoYh9cLW12POD0nf7PvPket38vScWmWfuUeESCKgBZK6LHxFWq8rhfxMkIVzfNL4PVUjBNVZ1ZPwo0OsEpRskwJgbv3JDxWmGZQUryzV1J1oAHHQk1l+XZqRkCh0OUZOYp+Nqj2BAzkYvTtB3FfKS68jG+DoynmKmyg6csVU6h6SnyLaAeK1Oz0II7h+pjQHLZLp9zdF082iUcGnD8/J5DN92cPTEl+h1cvo9Vhg22sTPTzgDvS9fQQZCJgfOZg9YJ8qWR2WtYmGQx2oZ6FMHpmuSf8DusFe81Hlg598UyLu4kPifpQvZWzvwLaWzz4mHTy6PQ+3ZVtH9YQR4pSc2T7VrdFw1q1gdv54+CukXbzoJ0VyI9MNLHWUDZkbYa8xJwKcOcJVOoQXaSHMI0O7xXkYhYf2Whujr08qC/QoB/lgNfR3f9oFmq7s/iPvAc35HUFPxAWc4P5UIMGFTTdlEARAgKQhW9s9jyFZ5g+KREvs+hXu9urfwqtgK1vnyNkLFnt4RIIXEolv3VoEz1ACeSnjF96rZqY445y5RUcoJztsKHx865sHBXHq4xVGJsU3ZM/qP8Be3yoLnaKzRpAPOrskNUfk4YNNvYWBruXqqXDO/Vc5ukHFx/w87iUPuOpMYqhvAm5BMDN8cTk6Efuvah5nSwoBhhzjPEhy1NXpDGcZKkulnSjSPtTV2MfRwDuAAAA==" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, lets take a step back, where did this data come from? This data is from a recent paper on the domestication history of pineapple: \n", + "https://www.nature.com/articles/s41588-019-0506-8\n", + "\n", + "In this paper we resequenced ~90 accessions of pineapple from around the world and a few dozen wild species as well. We will be replicating a few of the analyses in this paper.
\n", + "\n", + "![41588_2019_506_Fig3_HTML.webp](attachment:41588_2019_506_Fig3_HTML.webp)\n", + "\n", + "In this notebook, we imported a simplified vcf file containing a subset of the variants that were used in this paper. We can treat the file of variants as a character matrix and similar to the leaf shape and RNAseq data, use a principle component analysis to describe the data. There should be distinct sets of variants that are found in _only_ domesticated and _only_ wild pineapple, and they should lead to a strong separation of the two groups. The wild progenitor species of pineapple should contain a subset of variants that are shared with pineapple, so we might extpect these to be closer to the cultivated accessions than the wild. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To run a PCA, we need a simple dataframe of integers (0, 1, and 2) instead of the complex numpy arrays we have after importing a vcf file. We can use the `allel.GenotypeChunkedArray` function to pull out only the genotype data (key 'calldata/GT'):" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
<GenotypeChunkedArray shape=(20301, 87, 2) dtype=int8\n", + " nbytes=3.4M\n", + " values=numpy.ndarray>
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00/00/10/10/10/1...0/0./.0/0./.0/0
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20298./.0/00/00/10/1...0/00/00/0./../.
20299./.0/00/00/00/0..../../../../../.
203000/00/10/00/10/1..../../../../../.
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g = allel.GenotypeChunkedArray(pineapple['calldata/GT'])\n", + "g" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is simpler, but still not a simple enough input to run a PCA. We can use the `to_n_alt()` function transform each genotype call into the number of non-reference alleles. In this case, a 0/0 would be transformed into 0, 0/1 into 1, and 1/1 into 2:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gn = g.to_n_alt()\n", + "gn" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then, we can use the `allel.pca` function to run the PCA. We need to feed it our simplified array, the number of components (set to 10), and the scaler (Patterson is based on the methods from the first paper to use PCA to survey genetic diversity):" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "coords1, model1 = allel.pca(gn, n_components=2, scaler='patterson')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can plot the PCA. We will use matplotlib as we've done in the past. We will use the 'samples' array to label each sample. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#plt.scatter(coords1[:,0], coords1[:,1])\n", + "import matplotlib.pyplot as plt\n", + "\n", + "labels = pineapple['samples']\n", + "plt.figure(figsize=(15, 12))\n", + "plt.subplots_adjust(bottom=0.1)\n", + "plt.scatter(coords1[:,0],coords1[:,1], label='True Position')\n", + "\n", + "for label, x, y in zip(labels, coords1[:, 0], coords1[:, 1]):\n", + " plt.annotate(\n", + " label,\n", + " xy=(x, y), xytext=(-3, 3),\n", + " textcoords='offset points', ha='right', va='bottom')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can similarly group the genetic data using a Hierarchical Clustering approach. This is similar to PCA and is often congruent with a phylogenetic approach. Below, samples are broken down into wild pineapple (in green) and domesticated (red):" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.cluster.hierarchy import dendrogram, linkage\n", + "from matplotlib import pyplot as plt\n", + "\n", + "linked = linkage(coords1, 'ward')\n", + "\n", + "labelList = pineapple['samples']\n", + "\n", + "plt.figure(figsize=(10, 7))\n", + "dendrogram(linked,\n", + " orientation='top',\n", + " labels=labelList,\n", + " distance_sort='descending',\n", + " show_leaf_counts=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bringing it together" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can apply this same framework to grape. Dan's collaborators have collected genotype data for each of the Vitis accessions we analyzed for the midterm. This includes many domesticated grape varieties and wild grape species. We previously used PCA with the shape data to cluster the accessions, but how does this compare to genotype data? Using the provided grape vcf file, run a PCA. I have also provided a sample dataframe and you can get creative to color the samples by species instead of labeling them. How does this compare to the previous PCA based on shape alone?
\n", + "The grape vcf file is derived from GBS data, and Dan's collaborator has heavily filtered the vcf file to contain only biallelic SNPs, with high depth and low missing data rates. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "grape = allel.read_vcf('data/Phylogeny_out.biallele.depth.missing.recode.recalc.vcf')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "##Answer" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}