Complex genetic admixture histories reconstructed with Approximate Bayesian Computation.

ABSTRACT: Admixture is a fundamental evolutionary process that has influenced genetic patterns in numerous species. Maximum-likelihood approaches based on allele frequencies and linkage-disequilibrium have been extensively used to infer admixture processes from genome-wide data sets, mostly in human populations. Nevertheless, complex admixture histories, beyond one or two pulses of admixture, remain methodologically challenging to reconstruct. We developed an Approximate Bayesian Computation (ABC) framework to reconstruct highly complex admixture histories from independent genetic markers. We built the software package MetHis to simulate independent SNPs or microsatellites in a two-way admixed population for scenarios with multiple admixture pulses, monotonically decreasing or increasing recurring a

SUBMITTER: Fortes-Lima CA 

PROVIDER: S-EPMC8247995 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature