Screen for Footprints of Selection during Domestication/Captive Breeding of Atlantic Salmon

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. peer-reviewed Domesticated animals provide a un...

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Bibliographic Details
Published in:Comparative and Functional Genomics
Main Authors: Vasemägi, Anti, Nilsson, Jan, McGinnity, Philip, Cross, Tom, O'Reilly, Patrick, Glebe, Brian, Peng, Bo, Berg, Paul Ragnar, Primmer, Craig Robert
Format: Book
Language:English
Published: Hindawi Publishing Corporation 2012
Subjects:
Footprints of Selection
Domestication
Captive Breeding
Atlantic Salmon
Atlantic salmon
Salmo salar
Online Access:http://hdl.handle.net/10793/847
https://doi.org/10.1155/2012/628204
http://www.hindawi.com/journals/cfg/2012/628204/cta/
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Summary: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. peer-reviewed 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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