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Trends in Antimicrobial Resistance of Gram-Negative Oxidase-Positive Bacteria

ResFinder and Evolution code written by Biel Garcias Puigserver

Summary and Graphs code written by Jessica Kan

Collaborators: Jade Allum, Maliha Hakim, and Jack Clark

Supervisors: Prof Samuel Sheppard, Billy Monteith, Dr Evangelos Mourkas, and Dr Ben Pascoe

Property of the University of Bath

Abstract

Bacterial antimicrobial resistance (AMR) is increasing global concern. AMR occurs due to random mutations and can be acquired through transmissible plasmids. Selective pressures, such as overuse in farming, increase the rate of AMR. This study analysed trends in AMR for 16 Gram-negative oxidase-positive bacteria species. 57,905 isolate genomes collected from 1912-2022 were investigated. Firstly, Genome Comparator was used to find which ResFinder AMR genes were present in each bacterial species. This was then combined with metadata from PubMLST and BIGSdb Pasteur. Next, the data were processed and analysed using R. Out of the 17 antimicrobial classes investigated, beta-lactams had the highest overall level of resistance. Also, Pseudomonas aeruginosa had the widest range of resistance across antimicrobial classes. The continent and country with the highest percentage of AMR was Asia (25.9%) and Uzbekistan (35.3%), respectively. Additionally, environmental sources (62.5%) had the highest percentage of AMR. Overall, AMR of Gram-negative oxidase-positive bacteria is increasing, and new antibiotics may be required to tackle this problem in future.

Gram-negative oxidase-positive bacterial genomes and number of isolates used in this study

Bacterial species Number of isolates
Bordetella spp. 2085
Borrelia spp. 104
Brucella spp. 108
Burkholderia cepacia complex 1407
Burkholderia pseudomallei 843
Chlamydiales spp. 703
Dichelobacter nodosus 173
Glaesserella parasuis 289
Haemophilus influenzae 2632
Helicobacter pylori 643
Leptospira spp. 737
Neisseria spp. 41336
Pseudomonas aeruginosa 2689
Treponema pallidum 602
Vibrio cholerae 1664
Vibrio parahaemolyticus 1892

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Applied Data Science in Biology Assessment 2

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