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      The distribution of runs of homozygosity and selection signatures in six commercial meat sheep breeds

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          Abstract

          Domestication and the subsequent selection of animals for either economic or morphological features can leave a variety of imprints on the genome of a population. Genomic regions subjected to high selective pressures often show reduced genetic diversity and frequent runs of homozygosity (ROH). Therefore, the objective of the present study was to use 42,182 autosomal SNPs to identify genomic regions in 3,191 sheep from six commercial breeds subjected to selection pressure and to quantify the genetic diversity within each breed using ROH. In addition, the historical effective population size of each breed was also estimated and, in conjunction with ROH, was used to elucidate the demographic history of the six breeds. ROH were common in the autosomes of animals in the present study, but the observed breed differences in patterns of ROH length and burden suggested differences in breed effective population size and recent management. ROH provided a sufficient predictor of the pedigree inbreeding coefficient, with an estimated correlation between both measures of 0.62. Genomic regions under putative selection were identified using two complementary algorithms; the fixation index and hapFLK. The identified regions under putative selection included candidate genes associated with skin pigmentation, body size and muscle formation; such characteristics are often sought after in modern-day breeding programs. These regions of selection frequently overlapped with high ROH regions both within and across breeds. Multiple yet uncharacterised genes also resided within putative regions of selection. This further substantiates the need for a more comprehensive annotation of the sheep genome as these uncharacterised genes may contribute to traits of interest in the animal sciences. Despite this, the regions identified as under putative selection in the current study provide an insight into the mechanisms leading to breed differentiation and genetic variation in meat production.

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          A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.

          We present a statistical model for patterns of genetic variation in samples of unrelated individuals from natural populations. This model is based on the idea that, over short regions, haplotypes in a population tend to cluster into groups of similar haplotypes. To capture the fact that, because of recombination, this clustering tends to be local in nature, our model allows cluster memberships to change continuously along the chromosome according to a hidden Markov model. This approach is flexible, allowing for both "block-like" patterns of linkage disequilibrium (LD) and gradual decline in LD with distance. The resulting model is also fast and, as a result, is practicable for large data sets (e.g., thousands of individuals typed at hundreds of thousands of markers). We illustrate the utility of the model by applying it to dense single-nucleotide-polymorphism genotype data for the tasks of imputing missing genotypes and estimating haplotypic phase. For imputing missing genotypes, methods based on this model are as accurate or more accurate than existing methods. For haplotype estimation, the point estimates are slightly less accurate than those from the best existing methods (e.g., for unrelated Centre d'Etude du Polymorphisme Humain individuals from the HapMap project, switch error was 0.055 for our method vs. 0.051 for PHASE) but require a small fraction of the computational cost. In addition, we demonstrate that the model accurately reflects uncertainty in its estimates, in that probabilities computed using the model are approximately well calibrated. The methods described in this article are implemented in a software package, fastPHASE, which is available from the Stephens Lab Web site.
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            • Record: found
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            The hitch-hiking effect of a favourable gene.

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              • Record: found
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              The genetical structure of populations.

              S. Wright (1951)
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2 May 2017
                2017
                : 12
                : 5
                : e0176780
                Affiliations
                [1 ]Animal & Grassland Research and Innovation Center, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland
                [2 ]Sheep Ireland, Bandon, Co. Cork, Ireland
                University of Queensland, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: DCP DPB.

                • Data curation: EW.

                • Formal analysis: DCP SM DPB.

                • Funding acquisition: DPB.

                • Investigation: DCP SM DPB.

                • Project administration: DPB.

                • Resources: DPB EW.

                • Software: DCP.

                • Supervision: DPB.

                • Visualization: DCP.

                • Writing – original draft: DCP SM DPB EW.

                • Writing – review & editing: DCP SM DPB EW.

                Article
                PONE-D-16-45870
                10.1371/journal.pone.0176780
                5413029
                28463982
                b4e98ee3-555b-4284-8ffd-08087b56daec
                © 2017 Purfield et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 November 2016
                : 17 April 2017
                Page count
                Figures: 7, Tables: 4, Pages: 23
                Funding
                Funded by: MultiGS Research Stimulus Fund
                Award ID: 11/S/112
                Award Recipient :
                Funded by: OVIGEN Research Stimulus Fund
                Award Recipient :
                This work was supported by MultiGS Research Stimulus Fund (11/S/112) and OviGen project (14/S/849) which are funded by the Department of Agriculture, Food and Marine, Ireland.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Heredity
                Inbreeding
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Ruminants
                Sheep
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Effective Population Size
                Biology and Life Sciences
                Genetics
                Population Genetics
                Effective Population Size
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Effective Population Size
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Effective Population Size
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Size
                Effective Population Size
                Biology and Life Sciences
                Genetics
                Heredity
                Homozygosity
                Biology and Life Sciences
                Developmental Biology
                Morphogenesis
                Muscle Differentiation
                Biology and Life Sciences
                Developmental Biology
                Genomic Imprinting
                Biology and Life Sciences
                Genetics
                Epigenetics
                Genomic Imprinting
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Haplotypes
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomes
                Autosomes
                Custom metadata
                The genotype data used in this study cannot be made available by the authors as they are managed by a third party, Sheep Ireland. Requests for genotype data can be made to Sheep Ireland, Highfield House, Shinagh, Bandon, Co. Cork, Ireland: email query@ 123456sheep.ie ; Fax: +353 (0)238820229; Phone 1850601 901; website www.sheep.ie.

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                Uncategorized

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