Identifying signatures of sexual selection using genomewide selection components analysis.

ABSTRACT: Sexual selection must affect the genome for it to have an evolutionary impact, yet signatures of selection remain elusive. Here we use an individual-based model to investigate the utility of genome-wide selection components analysis, which compares allele frequencies of individuals at different life history stages within a single population to detect selection without requiring a priori knowledge of traits under selection. We modeled a diploid, sexually reproducing population and introduced strong mate choice on a quantitative trait to simulate sexual selection. Genome-wide allele frequencies in adults and offspring were compared using weighted F ST values. The average number of outlier peaks (i.e., those with significantly large F ST values) with a quantitative trait locus in close proxim

SUBMITTER: Flanagan SP 

PROVIDER: S-EPMC4523367 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature