Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology

dc.contributor.author Ramos, Antonio
dc.contributor.author Crooijmans, Richard
dc.contributor.author Affara, Nabeel
dc.contributor.author Amaral, Andreia
dc.contributor.author Archibald, Alan
dc.contributor.author Beever, Jonathan
dc.contributor.author Bendixen, Christian
dc.contributor.author Churcher, Carol
dc.contributor.author Clark, Richard
dc.contributor.author Dehais, Patrick
dc.contributor.author Hansen, Mark
dc.contributor.author Hedegaard, Jakob
dc.contributor.author Hu, Zhi-Liang
dc.contributor.author Kerstens, Hindrik
dc.contributor.author Law, Andy
dc.contributor.author Megens, Hendrik-Jan
dc.contributor.author Milan, Denis
dc.contributor.author Nonneman, Danny
dc.contributor.author Rohrer, Gary
dc.contributor.author Rothschild, Max
dc.contributor.author Smith, Tim
dc.contributor.author Schnabel, Robert
dc.contributor.author Van Tassell, Curt
dc.contributor.author Taylor, Jeremy
dc.contributor.author Wiedmann, Ralph
dc.contributor.author Schook, Lawrence
dc.contributor.author Groenen, Martien
dc.contributor.department Department of Animal Science
dc.date 2018-02-17T11:53:05.000
dc.date.accessioned 2020-06-29T23:39:20Z
dc.date.available 2020-06-29T23:39:20Z
dc.date.issued 2009-01-01
dc.description.abstract <p>Background: The dissection of complex traits of economic importance to the pig industry requires the availability of a significant number of genetic markers, such as single nucleotide polymorphisms (SNPs). This study was conducted to discover several hundreds of thousands of porcine SNPs using next generation sequencing technologies and use these SNPs, as well as others from different public sources, to design a high-density SNP genotyping assay. Methodology/Principal Findings: A total of 19 reduced representation libraries derived from four swine breeds (Duroc, Landrace, Large White, Pietrain) and a Wild Boar population and three restriction enzymes (AluI, HaeIII and MspI) were sequenced using Illumina’s Genome Analyzer (GA). The SNP discovery effort resulted in the de novo identification of over 372K SNPs. More than 549K SNPs were used to design the Illumina Porcine 60K+SNP iSelect Beadchip, now commercially available as the PorcineSNP60. A total of 64,232 SNPs were included on the Beadchip. Results from genotyping the 158 individuals used for sequencing showed a high overall SNP call rate (97.5%). Of the 62,621 loci that could be reliably scored, 58,994 were polymorphic yielding a SNP conversion success rate of 94%. The average minor allele frequency (MAF) for all scorable SNPs was 0.274. Conclusions/Significance: Overall, the results of this study indicate the utility of using next generation sequencing technologies to identify large numbers of reliable SNPs. In addition, the validation of the PorcineSNP60 Beadchip demonstrated that the assay is an excellent tool that will likely be used in a variety of future studies in pigs.</p>
dc.description.comments <p>This is an article from <em>PLoS ONE</em> 4 (2009): 1, doi:<a href="http://dx.doi.org/10.1371/journal.pone.0006524%20" target="_blank">10.1371/journal.pone.0006524</a>. Posted with permission.</p>
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dc.identifier archive/lib.dr.iastate.edu/ans_pubs/250/
dc.identifier.articleid 1241
dc.identifier.contextkey 8081694
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ans_pubs/250
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/9659
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ans_pubs/250/2009_Rothschild_DesignHighDensity.pdf|||Fri Jan 14 22:57:05 UTC 2022
dc.source.uri 10.1371/journal.pone.0006524
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Genetics and Genomics
dc.title Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a5915699-0c8a-411e-a601-1564d7090ab9
relation.isOrgUnitOfPublication 85ecce08-311a-441b-9c4d-ee2a3569506f
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