An invariants-based method for efficient identification of hybrid species from large-scale genomic data.

ABSTRACT:

Background

Coalescent-based species tree inference has become widely used in the analysis of genome-scale multilocus and SNP datasets when the goal is inference of a species-level phylogeny. However, numerous evolutionary processes are known to violate the assumptions of a coalescence-only model and complicate inference of the species tree. One such process is hybrid speciation, in which a species shares its ancestry with two distinct species. Although many methods have been proposed to detect hybrid speciation, only a few have considered both hybridization and coalescence in a unified framework, and these are generally limited to the setting in which putative hybrid species must be identified in advance.

Results

Here we propose a method that can examine genome-scale data fo

SUBMITTER: Kubatko LS 

PROVIDER: S-EPMC6543680 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature