Demographically explicit scans for barriers to gene flow using gIMble.

Autor: Laetsch DR; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom., Bisschop G; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom., Martin SH; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom., Aeschbacher S; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland., Setter D; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom., Lohse K; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.
Jazyk: angličtina
Zdroj: PLoS genetics [PLoS Genet] 2023 Oct 10; Vol. 19 (10), pp. e1010999. Date of Electronic Publication: 2023 Oct 10 (Print Publication: 2023).
DOI: 10.1371/journal.pgen.1010999
Abstrakt: 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 migration (IM) as heterogeneity in effective population size (Ne) and effective migration rate (me), respectively. Variation in both effective demographic parameters is estimated in sliding windows via pre-computed likelihood grids. gIMble includes modules for pre-processing/filtering of genomic data and performing parametric bootstraps using coalescent simulations. To demonstrate the new approach, we analyse data from a well-studied pair of sister species of tropical butterflies with a known history of post-divergence gene flow: Heliconius melpomene and H. cydno. Our analyses uncover both large-effect barrier loci (including well-known wing-pattern genes) and a genome-wide signal of a polygenic barrier architecture.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Laetsch et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje