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Scripts for demographic inference for Solanum chilense using Approximate Bayesian Computation approach and NLR data.

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gsilvaarias/NLR-ABC

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NLR-ABC

Scripts to implement a model-based demographic inference for Solanum chilense to assess the support of three demographic models using a wide range prior parameter distributions for effective populations size (Ne), gene-flow and divergence times parameters using Approximate Bayesian Computation approach and NLR data.

Model 1: independent divergence of the north, coastal and mountain groups from the central group.

Model 2: same as model 1 but the highland group diverges from the coastal group.

Model 3: same as model 1 but the coastal group diverges from the highland group.

Divergence processes were set to occur from three different unsampled (i.e. ghost) populations.

The gene-flow among populations from different groups was set as symmetric migration only from populations of the central group with the others (i.e. no migration between north-mountain, north-coast and mountain-coast populations). Therefore, we have seven migration rate parameters: three different migration rates between population from different group (between group migration) and four rates for within-group migration (each group is represented as an island model). Between-group migration reates were constrained to be smaller than within-group gene-flow. Within a group, all populations were assumed to have the same population size for limiting the number of parameters in the models.

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Scripts for demographic inference for Solanum chilense using Approximate Bayesian Computation approach and NLR data.

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