Genomics of adaptive divergence with chromosome‐scale heterogeneity in crossover rate. Issue 22 (24th November 2017)

• Record Type: Journal Article
• Authors: Berner, Daniel; Roesti, Marius
• Is Part Of: Molecular ecology. Volume 26:Issue 22(2017)
• Page Start: 6351
• Page End: 6369
• Publication Date: 2017-11-24
• Subjects: barrier to gene flow -- hitchhiking -- linked selection -- population differentiation -- recombination -- standing genetic variation; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.14373
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Genetic differentiation between divergent populations is often greater in chromosome centres than peripheries. Commonly overlooked, this broadscale differentiation pattern is sometimes ascribed to heterogeneity in crossover rate and hence linked selection within chromosomes, but the underlying mechanisms remain incompletely understood. A literature survey across 46 organisms reveals that most eukaryotes indeed exhibit a reduced crossover rate in chromosome centres relative to the peripheries. Using simulations of populations diverging into ecologically different habitats through sorting of standing genetic variation, we demonstrate that such chromosome‐scale heterogeneity in crossover rate, combined with polygenic divergent selection, causes stronger hitchhiking and especially barriers to gene flow across chromosome centres. Without requiring selection on new mutations, this rapidly leads to elevated population differentiation in the low‐crossover centres relative to the high‐crossover peripheries of chromosomes ("Chromosome Centre‐Biased Differentiation", CCBD). Using simulated and empirical data, we then show that strong CCBD between populations can provide evidence of polygenic adaptive divergence with a phase of gene flow. We further demonstrate that chromosome‐scale heterogeneity in crossover rate impacts analyses beyond that of population differentiation, including the inference of phylogenies and parallel adaptive evolution among populations, the detection of genetic loci under selection, and the interpretation of the strength of selection on genomic regions. Overall, our results call for a greater appreciation of chromosome‐scale heterogeneity in crossover rate in evolutionary genomics.