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Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology
PLoS ONE
  • Antonio M. Ramos, Wageningen University
  • Richard P. M. A. Crooijmans, Wageningen University
  • Nabeel A. Affara, University of Cambridge
  • Andreia J. Amaral, Wgeningen University
  • Alan L. Archibald, University of Edinburgh
  • Jonathan E. Beever, University of Illinois at Urbana-Champaign
  • Christian Bendixen, Aarhus University
  • Carol Churcher, Wellcome Trust Sanger Institute
  • Richard Clark, Wellcome Trust Sanger Institute
  • Patrick Dehais, Institut National de la Recherche en Agronomique
  • Mark S. Hansen, Illumina, Inc.
  • Jakob Hedegaard, Aarhus University
  • Zhi-Liang Hu, Iowa State University
  • Hindrik H. Kerstens, Wageningen University
  • Andy S. Law, University of Edinburgh
  • Hendrik-Jan Megens, Wageningen University
  • Denis Milan, Institut National de la Recherche Agronomique
  • Danny J. Nonneman, United States Department of Agriculture
  • Gary A. Rohrer, United States Department of Agriculture
  • Max F. Rothschild, Iowa State University
  • Tim P. L. Smith, United States Department of Agriculture
  • Robert D. Schnabel, University of Missouri–Columbia
  • Curt P. Van Tassell, United States Department of Agriculture
  • Jeremy F. Taylor, University of Missouri-Columbia
  • Ralph T. Wiedmann, United States Department of Agriculture
  • Lawrence B. Schook, University of Illinois at Urbana-Champaign
  • Martien A. M. Groenen, Wageningen University
Document Type
Article
Publication Version
Published Version
Publication Date
1-1-2009
DOI
10.1371/journal.pone.0006524
Abstract

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.

Comments

This is an article from PLoS ONE 4 (2009): 1, doi:10.1371/journal.pone.0006524. Posted with permission.

Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Language
en
File Format
application/pdf
Citation Information
Antonio M. Ramos, Richard P. M. A. Crooijmans, Nabeel A. Affara, Andreia J. Amaral, et al.. "Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology" PLoS ONE Vol. 4 Iss. 8 (2009) p. 1 - 13
Available at: http://works.bepress.com/max-rothschild/35/