Demographically explicit scans for barriers to gene flow using gIMble.

ABSTRACT: Identifying regions of the genome that act as barriers to gene flow between recently diverged taxa has remained challenging given the many evolutionary forces that generate variation in genetic diversity and divergence along the genome, and the stochastic nature of this variation. Progress has been impeded by a conceptual and methodological divide between analyses that infer the demographic history of speciation and genome scans aimed at identifying locally maladaptive alleles i.e. genomic barriers to gene flow. Here we implement genomewide IM blockwise likelihood estimation (gIMble), a composite likelihood approach for the quantification of barriers, that bridges this divide. This analytic framework captures background selection and selection against barriers in a model of isolation with

SUBMITTER: Laetsch DR 

PROVIDER: S-EPMC10610087 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature