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The structural variation landscape in 492 Atlantic salmon genomes

Author

Listed:
  • Alicia C. Bertolotti

    (University of Aberdeen
    University of Edinburgh)

  • Ryan M. Layer

    (University of Colorado
    University of Colorado)

  • Manu Kumar Gundappa

    (University of Edinburgh)

  • Michael D. Gallagher

    (University of Edinburgh)

  • Ege Pehlivanoglu

    (University of Edinburgh)

  • Torfinn Nome

    (Norwegian University of Life Sciences)

  • Diego Robledo

    (University of Edinburgh)

  • Matthew P. Kent

    (Norwegian University of Life Sciences)

  • Line L. Røsæg

    (Norwegian University of Life Sciences)

  • Matilde M. Holen

    (Norwegian University of Life Sciences)

  • Teshome D. Mulugeta

    (Norwegian University of Life Sciences)

  • Thomas J. Ashton

    (Xelect Ltd)

  • Kjetil Hindar

    (Norwegian Institute for Nature Research (NINA))

  • Harald Sægrov

    (Rådgivende Biologer AS)

  • Bjørn Florø-Larsen

    (Norwegian Veterinary Institute)

  • Jaakko Erkinaro

    (Natural Resources Institute Finland (Luke))

  • Craig R. Primmer

    (University of Helsinki)

  • Louis Bernatchez

    (Université Laval Québec)

  • Samuel A. M. Martin

    (University of Aberdeen)

  • Ian A. Johnston

    (Xelect Ltd)

  • Simen R. Sandve

    (Norwegian University of Life Sciences)

  • Sigbjørn Lien

    (Norwegian University of Life Sciences)

  • Daniel J. Macqueen

    (University of Edinburgh)

Abstract

Structural variants (SVs) are a major source of genetic and phenotypic variation, but remain challenging to accurately type and are hence poorly characterized in most species. We present an approach for reliable SV discovery in non-model species using whole genome sequencing and report 15,483 high-confidence SVs in 492 Atlantic salmon (Salmo salar L.) sampled from a broad phylogeographic distribution. These SVs recover population genetic structure with high resolution, include an active DNA transposon, widely affect functional features, and overlap more duplicated genes retained from an ancestral salmonid autotetraploidization event than expected. Changes in SV allele frequency between wild and farmed fish indicate polygenic selection on behavioural traits during domestication, targeting brain-expressed synaptic networks linked to neurological disorders in humans. This study offers novel insights into the role of SVs in genome evolution and the genetic architecture of domestication traits, along with resources supporting reliable SV discovery in non-model species.

Suggested Citation

  • Alicia C. Bertolotti & Ryan M. Layer & Manu Kumar Gundappa & Michael D. Gallagher & Ege Pehlivanoglu & Torfinn Nome & Diego Robledo & Matthew P. Kent & Line L. Røsæg & Matilde M. Holen & Teshome D. Mu, 2020. "The structural variation landscape in 492 Atlantic salmon genomes," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18972-x
    DOI: 10.1038/s41467-020-18972-x
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