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Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP
Single nucleotide polymorphisms (SNPs) are becoming the dominant form of molecular marker for genetic and genomic analysis. The advances in second generation DNA sequencing provide opportunities to identify very large numbers of SNPs in a range of species. However, SNP identification remains a chall...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009776/ https://www.ncbi.nlm.nih.gov/pubmed/24832230 http://dx.doi.org/10.3390/biology1020370 |
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author | Lorenc, Michał T. Hayashi, Satomi Stiller, Jiri Lee, Hong Manoli, Sahana Ruperao, Pradeep Visendi, Paul Berkman, Paul J. Lai, Kaitao Batley, Jacqueline Edwards, David |
author_facet | Lorenc, Michał T. Hayashi, Satomi Stiller, Jiri Lee, Hong Manoli, Sahana Ruperao, Pradeep Visendi, Paul Berkman, Paul J. Lai, Kaitao Batley, Jacqueline Edwards, David |
author_sort | Lorenc, Michał T. |
collection | PubMed |
description | Single nucleotide polymorphisms (SNPs) are becoming the dominant form of molecular marker for genetic and genomic analysis. The advances in second generation DNA sequencing provide opportunities to identify very large numbers of SNPs in a range of species. However, SNP identification remains a challenge for large and polyploid genomes due to their size and complexity. We have developed a pipeline for the robust identification of SNPs in large and complex genomes using Illumina second generation DNA sequence data and demonstrated this by the discovery of SNPs in the hexaploid wheat genome. We have developed a SNP discovery pipeline called SGSautoSNP (Second-Generation Sequencing AutoSNP) and applied this to discover more than 800,000 SNPs between four hexaploid wheat cultivars across chromosomes 7A, 7B and 7D. All SNPs are presented for download and viewing within a public GBrowse database. Validation suggests an accuracy of greater than 93% of SNPs represent polymorphisms between wheat cultivars and hence are valuable for detailed diversity analysis, marker assisted selection and genotyping by sequencing. The pipeline produces output in GFF3, VCF, Flapjack or Illumina Infinium design format for further genotyping diverse populations. As well as providing an unprecedented resource for wheat diversity analysis, the method establishes a foundation for high resolution SNP discovery in other large and complex genomes. |
format | Online Article Text |
id | pubmed-4009776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-40097762014-05-07 Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP Lorenc, Michał T. Hayashi, Satomi Stiller, Jiri Lee, Hong Manoli, Sahana Ruperao, Pradeep Visendi, Paul Berkman, Paul J. Lai, Kaitao Batley, Jacqueline Edwards, David Biology (Basel) Article Single nucleotide polymorphisms (SNPs) are becoming the dominant form of molecular marker for genetic and genomic analysis. The advances in second generation DNA sequencing provide opportunities to identify very large numbers of SNPs in a range of species. However, SNP identification remains a challenge for large and polyploid genomes due to their size and complexity. We have developed a pipeline for the robust identification of SNPs in large and complex genomes using Illumina second generation DNA sequence data and demonstrated this by the discovery of SNPs in the hexaploid wheat genome. We have developed a SNP discovery pipeline called SGSautoSNP (Second-Generation Sequencing AutoSNP) and applied this to discover more than 800,000 SNPs between four hexaploid wheat cultivars across chromosomes 7A, 7B and 7D. All SNPs are presented for download and viewing within a public GBrowse database. Validation suggests an accuracy of greater than 93% of SNPs represent polymorphisms between wheat cultivars and hence are valuable for detailed diversity analysis, marker assisted selection and genotyping by sequencing. The pipeline produces output in GFF3, VCF, Flapjack or Illumina Infinium design format for further genotyping diverse populations. As well as providing an unprecedented resource for wheat diversity analysis, the method establishes a foundation for high resolution SNP discovery in other large and complex genomes. MDPI 2012-08-27 /pmc/articles/PMC4009776/ /pubmed/24832230 http://dx.doi.org/10.3390/biology1020370 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Lorenc, Michał T. Hayashi, Satomi Stiller, Jiri Lee, Hong Manoli, Sahana Ruperao, Pradeep Visendi, Paul Berkman, Paul J. Lai, Kaitao Batley, Jacqueline Edwards, David Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP |
title | Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP |
title_full | Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP |
title_fullStr | Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP |
title_full_unstemmed | Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP |
title_short | Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP |
title_sort | discovery of single nucleotide polymorphisms in complex genomes using sgsautosnp |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009776/ https://www.ncbi.nlm.nih.gov/pubmed/24832230 http://dx.doi.org/10.3390/biology1020370 |
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