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Research article2021Peer reviewedOpen access

Detection of selection signatures in farmed coho salmon (Oncorhynchus kisutch) using dense genome-wide information

Lopez, M. E.; Cadiz, M., I; Rondeau, E. B.; Koop, B. F.; Yanez, J. M.

Abstract

Animal domestication and artificial selection give rise to gradual changes at the genomic level in populations. Subsequent footprints of selection, known as selection signatures or selective sweeps, have been traced in the genomes of many animal livestock species by exploiting variation in linkage disequilibrium patterns and/or reduction of genetic diversity. Domestication of most aquatic species is recent in comparison with land animals, and salmonids are one of the most important fish species in aquaculture. Coho salmon (Oncorhynchus kisutch), cultivated primarily in Chile, has been subjected to breeding programs to improve growth, disease resistance traits, and flesh color. This study aimed to identify selection signatures that may be involved in adaptation to culture conditions and traits of productive interest. To do so, individuals of two domestic populations cultured in Chile were genotyped with 200 thousand SNPs, and analyses were conducted using iHS, XP-EHH and CLR. Several signatures of selection on different chromosomal regions were detected across both populations. Some of the identified regions under selection contained genes such anapc2, alad, chp2 and myn, which have been previously associated with body weight in Atlantic salmon, or sec24d and robo1, which have been associated with resistance to Piscirickettsia salmonis in coho salmon. Findings in our study can contribute to an integrated genome-wide map of selection signatures, to help identify the genetic mechanisms of phenotypic diversity in coho salmon.

Published in

Scientific Reports
2021, Volume: 11, number: 1, article number: 9685
Publisher: NATURE RESEARCH

    Sustainable Development Goals

    Conserve and sustainably use the oceans, seas and marine resources for sustainable development
    End hunger, achieve food security and improved nutrition and promote sustainable agriculture

    UKÄ Subject classification

    Evolutionary Biology
    Genetics

    Publication identifier

    DOI: https://doi.org/10.1038/s41598-021-86154-w

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/112453