Identifying loci under positive selection in complex population histories.

ABSTRACT: Detailed modeling of a species' history is of prime importance for understanding how natural selection operates over time. Most methods designed to detect positive selection along sequenced genomes, however, use simplified representations of past histories as null models of genetic drift. Here, we present the first method that can detect signatures of strong local adaptation across the genome using arbitrarily complex admixture graphs, which are typically used to describe the history of past divergence and admixture events among any number of populations. The method-called graph-aware retrieval of selective sweeps (GRoSS)-has good power to detect loci in the genome with strong evidence for past selective sweeps and can also identify which branch of the graph was most affected by the

SUBMITTER: Refoyo-Martinez A 

PROVIDER: S-EPMC6724678 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature