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Local adaptation and the evolution of genome architecture in threespine stickleback

Li, Qiushi1; Lindtke, Dorothea1; Rodríguez-Ramírez, Carlos2; Kakioka, Ryo3; Takahashi, Hiroshi4; Toyoda, Atsushi5; Kitano, Jun5; Ehrlich, Rachel6; Mell, Joshua6; Yeaman, Sam1

Published Sep 25, 2023 on Dryad. https://doi.org/10.5061/dryad.1c59zw3w3

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Sep 25, 2023 version files 164.86 MB

Abstract

Theory predicts that local adaptation should favour the evolution of a concentrated genetic architecture, where the alleles driving adaptive divergence are tightly clustered on chromosomes. Adaptation to marine vs. freshwater environments in threespine stickleback has resulted in an architecture that seems consistent with this prediction: divergence among populations is mainly driven by a few genomic regions harbouring multiple quantitative trait loci (QTL) for environmentally adapted traits, as well as candidate genes with well-established phenotypic effects. One theory for the evolution of these “genomic islands” is that rearrangements remodel the genome to bring causal loci into tight proximity, but this has not been studied explicitly. We tested this theory using synteny analysis to identify micro- and macro-rearrangements in the stickleback genome and assess their potential involvement in the evolution of genomic islands. To identify rearrangements, we conducted a de novo assembly of the closely-related tubesnout (Aulorhyncus flavidus) genome and compared this to the genomes of threespine stickleback and two other closely related species. We found that small rearrangements, within-chromosome duplications, and Lineage-Specific Genes (LSGs) were enriched around genomic islands, and that all three chromosomes harbouring large genomic islands have experienced macro-rearrangements. We also found that duplicates and micro-rearrangements are 9.9x and 2.9x more likely to involve genes differentially expressed between marine and freshwater genotypes. While not conclusive, these results are consistent with the explanation that strong divergent selection on candidate genes drove the recruitment of rearrangements to yield clusters of locally adaptive loci.