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Shared ancestral polymorphisms and chromosomal rearrangements as potential drivers of local adaptation in a marine fish.

Hugo CayuelaQuentin RougemontMartin LaporteClaire MérotEric NormandeauYann DorantOle K TørresenSiv Nam Khang HoffSissel JentoftPascal SiroisMartin CastonguayTeunis JansenKim PraebelMarie ClémentLouis Bernatchez
Published in: Molecular ecology (2020)
Gene flow has tremendous importance for local adaptation, by influencing the fate of de novo mutations, maintaining standing genetic variation and driving adaptive introgression. Furthermore, structural variation as chromosomal rearrangements may facilitate adaptation despite high gene flow. However, our understanding of the evolutionary mechanisms impending or favouring local adaptation in the presence of gene flow is still limited to a restricted number of study systems. In this study, we examined how demographic history, shared ancestral polymorphism, and gene flow among glacial lineages contribute to local adaptation to sea conditions in a marine fish, the capelin (Mallotus villosus). We first assembled a 490-Mbp draft genome of M. villosus to map our RAD sequence reads. Then, we used a large data set of genome-wide single nucleotide polymorphisms (25,904 filtered SNPs) genotyped in 1,310 individuals collected from 31 spawning sites in the northwest Atlantic. We reconstructed the history of divergence among three glacial lineages and showed that they probably diverged from 3.8 to 1.8 million years ago and experienced secondary contacts. Within each lineage, our analyses provided evidence for large Ne and high gene flow among spawning sites. Within the Northwest Atlantic lineage, we detected a polymorphic chromosomal rearrangement leading to the occurrence of three haplogroups. Genotype-environment associations revealed molecular signatures of local adaptation to environmental conditions prevailing at spawning sites. Our study also suggests that both shared polymorphisms among lineages, resulting from standing genetic variation or introgression, and chromosomal rearrangements may contribute to local adaptation in the presence of high gene flow.
Keyphrases
  • genome wide
  • copy number
  • dna methylation
  • genome wide identification
  • risk assessment
  • single cell
  • gene expression
  • transcription factor
  • machine learning
  • electronic health record
  • dna damage
  • oxidative stress
  • dna repair