A narrow window for geographic cline analysis using genomic data: Effects of age, drift, and migration on error rates.

ABSTRACT: The use of genomic and phenotypic data to scan for outliers is a mainstay for studies of hybridization and speciation. Geographic cline analysis of natural hybrid zones is widely used to identify putative signatures of selection by detecting deviations from baseline patterns of introgression. As with other outlier-based approaches, demographic histories can make neutral regions appear to be under selection and vice versa. In this study, we use a forward-time individual-based simulation approach to evaluate the robustness of geographic cline analysis under different evolutionary scenarios. We modelled multiple stepping-stone hybrid zones with distinct age, deme sizes, and migration rates, and evolving under different types of selection. We found that drift distorts cline shapes and increase

SUBMITTER: Jofre GI 

PROVIDER: S-EPMC11586622 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature