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      Scanning SNPs from a large set of expressed genes to assess the impact of artificial selection on the undomesticated genetic diversity of white spruce

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          Abstract

          A scan involving 1134 single-nucleotide polymorphisms (SNPs) from 709 expressed genes was used to assess the potential impact of artificial selection for height growth on the genetic diversity of white spruce. Two case populations of different sizes simulating different family selection intensities ( K = 13% and 5%, respectively) were delineated from the Quebec breeding program. Their genetic diversity and allele frequencies were compared with those of control populations of the same size and geographic origin to assess the effect of increasing the selection intensity. The two control populations were also compared to assess the effect of reducing the sampling size. On one hand, in all pairwise comparisons, genetic diversity parameters were comparable and no alleles were lost in the case populations compared with the control ones, except for few rare alleles in the large case population. Also, the distribution of allele frequencies did not change significantly ( P ≤ 0.05) between the populations compared, but ten and nine SNPs (0.8%) exhibited significant differences in frequency ( P ≤ 0.01) between case and control populations of large and small sizes, respectively. Results of association tests between breeding values for height at 15 years of age and these SNPs supported the hypothesis of a potential effect of selection on the genes harboring these SNPs. On the other hand, contrary to expectations, there was no evidence that selection induced an increase in linkage disequilibrium in genes potentially affected by selection. These results indicate that neither the reduction in the sampling size nor the increase in selection intensity was sufficient to induce a significant change in the genetic diversity of the selected populations. Apparently, no loci were under strong selection pressure, confirming that the genetic control of height growth in white spruce involves many genes with small effects. Hence, selection for height growth at the present intensities did not appear to compromise background genetic diversity but, as predicted by theory, effects were detected at a few gene SNPs harboring intermediate allele frequencies.

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          The magnitudes of the systematic biases involved in sample heterozygosity and sample genetic distances are evaluated, and formulae for obtaining unbiased estimates of average heterozygosity and genetic distance are developed. It is also shown that the number of individuals to be used for estimating average heterozygosity can be very small if a large number of loci are studied and the average heterozygosity is low. The number of individuals to be used for estimating genetic distance can also be very small if the genetic distance is large and the average heterozygosity of the two species compared is low.
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                Author and article information

                Journal
                Evol Appl
                Evol Appl
                eva
                Evolutionary Applications
                Blackwell Publishing Ltd (Oxford, UK )
                1752-4571
                1752-4571
                September 2012
                07 February 2012
                : 5
                : 6
                : 641-656
                Affiliations
                [1 ]simpleArborea and Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval Quebec City, QC, Canada
                [2 ]simpleNatural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre Quebec City, QC, Canada
                Author notes
                Jean Beaulieu, Natural Resources Canada, Canadian Wood Fibre Centre, 1055 du P.E.P.S. PO Box 10380, Stn. Sainte-Foy, QC Canada G1V 4C7. Tel.: 418 648 5823; Fax: 418 648 5849; e-mail: jean.beaulieu@ 123456nrcan-rncan.gc.ca
                Article
                10.1111/j.1752-4571.2012.00242.x
                3461146
                23028404
                3410433a-b8b5-4758-980e-19b8028899e2
                © 2012 Blackwell Publishing Ltd

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 12 December 2011
                : 19 December 2011
                Categories
                Original Articles

                Evolutionary Biology
                association genomics,picea glauca; conifer and tree breeding; selection intensity; sample size,linkage disequilibrium

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