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Screen for Footprints of Selection during Domestication/Captive Breeding of Atlantic Salmon
Vasemägi, Anti ; Nilsson, Jan ; McGinnity, Philip ; Cross, Tom ; O'Reilly, Patrick ; Glebe, Brian ; Peng, Bo ; Berg, Paul Ragnar ; Primmer, Craig Robert
Vasemägi, Anti
Nilsson, Jan
McGinnity, Philip
Cross, Tom
O'Reilly, Patrick
Glebe, Brian
Peng, Bo
Berg, Paul Ragnar
Primmer, Craig Robert
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Date
2012
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Hindawi Publishing Corporation
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Abstract
Domesticated animals provide a unique opportunity to identify genomic targets of artificial selection to the captive environment.
Here, we screened three independent domesticated/captive Atlantic salmon (Salmo salar) strains and their wild progenitor
populations in an effort to detect potential signals of domestication selection by typing of 261 SNPs and 70 microsatellite loci.
By combining information from four different neutrality tests, in total ten genomic regions showed signs of directional selection
based on multiple sources of evidence. Most of the identified candidate regions were rather small ranging from zero to a few
centimorgans (cM) in the female Atlantic salmon linkage map. We also evaluated how adaptation from standing variation affects
adjacent SNP and microsatellite variation along the chromosomes and, by using forward simulations with strong selection, we
were able to generate genetic differentiation patterns comparable to the observed data. This study highlights the significance of
standing genetic variation during the early stages of adaptation and represents a useful step towards identifying functional variants
involved in domestication of Atlantic salmon.
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Copyright © 2012 Anti Vasemagi et al. This is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Anti Vasemägi, Jan Nilsson, Philip McGinnity, et al., “Screen for Footprints of Selection during Domestication/Captive Breeding of Atlantic Salmon,” Comparative and Functional Genomics, vol. 2012, Article ID 628204, 14 pages, 2012. doi:10.1155/2012/628204
