P0457
Genome Scan for Selection Signatures in Atlantic Salmon Populations Using a High Density SNP Array

María Eugenia López Dinamarca , University of Chile, Santiago, Chile
Laura Benestan , Université Laval, Quebec, QC, Canada
Jean-Sébastien Moore , Université Laval, Quebec, QC, Canada
Charles Perrier , Centre d'Ecologie Fonctionnelle et Evolutive, Montpellier, France
Louis Bernatchez , Université Laval, Québec, QC, Canada
John Gilbey , Marine Scotland, Pitlochry, Scotland
Alex Di Genova , University of Chile, Santiago, Chile
Alejandro Maass , Center of Genome Regulation, Chile., Santiago, Chile
Roberto Neira , University of Chile, Santiago, Chile
Katharina Correa , University of Chile, Santiago, Chile
Jean P. Lhorente , Aquainnovo, Puerto Montt, Chile
José M. Yáñez , University of Chile, Santiago, Chile
Detecting selection in domesticated species can provide insight into the biological process of artificial selection and the causal genes underlying phenotypic variation. In some cases artificial selection can drive genetic changes on a short time scale in domesticated animals. Atlantic salmon (Salmo salar) represent an ideal model for studying the genomic response to selection because some farmed populations of extant wild stocks have experienced intense artificial selection for traits such as growth for over 40 years.

We used a high density SNP chip to screen 151,509 SNPs for selection signatures in two independently domesticated strains and their respective wild ancestor populations. The genome-wide genetic differentiation between the domestic and wild populations as measured by FST was 0.16 for Canadian populations and 0.08 for Scottish populations. We performed FST outlier and cross-population extended haplotype homozyogisty tests to identity signals of artificial selection in the genome. The FST scans produced a subset of 160 and 93 outlier SNPs showing evidence of selection for Canadian and Scottish stocks respectively.

These identified outlier loci illustrate the usefulness of a high density, genotyping chip and provide a basis for further studies aimed at detecting genes involved in biological processes relevant to domestication and selection in Atlantic salmon.