Population divergence with or without admixture: selecting models using an ABC approach.

ABSTRACT: Genetic data have been widely used to reconstruct the demographic history of populations, including the estimation of migration rates, divergence times and relative admixture contribution from different populations. Recently, increasing interest has been given to the ability of genetic data to distinguish alternative models. One of the issues that has plagued this kind of inference is that ancestral shared polymorphism is often difficult to separate from admixture or gene flow. Here, we applied an approximate Bayesian computation (ABC) approach to select the model that best fits microsatellite data among alternative splitting and admixture models. We performed a simulation study and showed that with reasonably large data sets (20 loci) it is possible to identify with a high level of accura

SUBMITTER: Sousa VC 

PROVIDER: S-EPMC3330690 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature