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

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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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          Most cited references94

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          The hitch-hiking effect of a favourable gene

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            Widespread parallel evolution in sticklebacks by repeated fixation of Ectodysplasin alleles.

            Major phenotypic changes evolve in parallel in nature by molecular mechanisms that are largely unknown. Here, we use positional cloning methods to identify the major chromosome locus controlling armor plate patterning in wild threespine sticklebacks. Mapping, sequencing, and transgenic studies show that the Ectodysplasin (EDA) signaling pathway plays a key role in evolutionary change in natural populations and that parallel evolution of stickleback low-plated phenotypes at most freshwater locations around the world has occurred by repeated selection of Eda alleles derived from an ancestral low-plated haplotype that first appeared more than two million years ago. Members of this clade of low-plated alleles are present at low frequencies in marine fish, which suggests that standing genetic variation can provide a molecular basis for rapid, parallel evolution of dramatic phenotypic change in nature.
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              Soft sweeps: molecular population genetics of adaptation from standing genetic variation.

              A population can adapt to a rapid environmental change or habitat expansion in two ways. It may adapt either through new beneficial mutations that subsequently sweep through the population or by using alleles from the standing genetic variation. We use diffusion theory to calculate the probabilities for selective adaptations and find a large increase in the fixation probability for weak substitutions, if alleles originate from the standing genetic variation. We then determine the parameter regions where each scenario-standing variation vs. new mutations-is more likely. Adaptations from the standing genetic variation are favored if either the selective advantage is weak or the selection coefficient and the mutation rate are both high. Finally, we analyze the probability of "soft sweeps," where multiple copies of the selected allele contribute to a substitution, and discuss the consequences for the footprint of selection on linked neutral variation. We find that soft sweeps with weaker selective footprints are likely under both scenarios if the mutation rate and/or the selection coefficient is high.
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                Author and article information

                Journal
                Comp Funct Genomics
                Comp. Funct. Genomics
                CFG
                Comparative and Functional Genomics
                Hindawi Publishing Corporation
                1531-6912
                1532-6268
                2012
                27 December 2012
                : 2012
                : 628204
                Affiliations
                1Division of Genetics and Physiology, Department of Biology, University of Turku, 20014 Turku, Finland
                2Department of Aquaculture, Institute of Veterinary Medicine and Animal Science, Estonian University of Life Sciences, 51014 Tartu, Estonia
                3Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, 901 83 Umeå, Sweden
                4Aquaculture and Fisheries Development Centre, School of Biological, Earth, and Environmental Sciences, University College Cork, Cork, Ireland
                5Marine Institute, Furnace, Newport, Co. Mayo, Ireland
                6Population Ecology Division, Department of Fisheries and Oceans, Bedford Institute of Oceanography, Challenger Drive, Dartmouth, NS, Canada B2Y 4A2
                7Fisheries and Oceans Canada, Department of Fisheries and Oceans, St. Andrews Biological Station, St. Andrews, NB, Canada E0G 2X0
                8Department of Genetics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA
                9Department of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Norwegian University of Life Sciences, 1432 Aas, Norway
                Author notes
                *Anti Vasemägi: antvas@ 123456utu.fi

                Academic Editor: Mohamed Salem

                Author information
                https://orcid.org/0000-0002-2184-5534
                https://orcid.org/0000-0001-8225-2284
                Article
                10.1155/2012/628204
                3544263
                23326209
                74cdf869-8118-4b00-b4d1-50c2a22f8657
                Copyright © 2012 Anti Vasemägi 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.

                History
                : 17 August 2012
                : 29 October 2012
                : 9 November 2012
                Categories
                Research Article

                Genetics
                Genetics

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