Temperature-associated selection linked to putative chromosomal inversions in king scallop (Pecten maximus)

Christopher M. Hollenbeck*, David S. Portnoy, Daniel Garcia de la serrana, Thorolf Magnesen, Iveta Matejusova, Ian A. Johnston

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The genomic landscape of divergence—the distribution of differences among populations or species across the genome—is increasingly characterized to understand the role that microevolutionary forces such as natural selection and recombination play in causing and maintaining genetic divergence. This line of inquiry has also revealed chromosome structure variation to be an important factor shaping the landscape of adaptive genetic variation. Owing to a high prevalence of chromosome structure variation and the strong pressure for local adaptation necessitated by their sessile nature, bivalve molluscs are an ideal taxon for exploring the relationship between chromosome structure variation and local adaptation. Here, we report a population genomic survey of king scallop (Pecten maximus) across its natural range in the northeastern Atlantic Ocean, using a recent chromosome-level genome assembly. We report the presence of at least three large (12–22 Mb), putative chromosomal inversions associated with sea surface temperature and whose frequencies are in contrast to neutral population structure. These results highlight a potentially large role for recombination-suppressing chromosomal inversions in local adaptation and suggest a hypothesis to explain the maintenance of differences in reproductive timing found at relatively small spatial scales across king scallop populations.
Original languageEnglish
Article number20221573
Number of pages11
JournalProceedings of the Royal Society of London Series B: Biological Sciences
Volume289
Issue number1984
Early online date5 Oct 2022
DOIs
Publication statusPublished - 12 Oct 2022

Keywords

  • Evolution
  • Local adaptation
  • Chromosomal inversion
  • Population genomics
  • Molluscs

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