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Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea
BACKGROUND: Single Nucleotide Polymorphisms (SNPs) can be used as genetic markers for applications such as genetic diversity studies or genetic mapping. New technologies now allow genotyping hundreds to thousands of SNPs in a single reaction. In order to evaluate the potential of these technologies...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091664/ https://www.ncbi.nlm.nih.gov/pubmed/20701750 http://dx.doi.org/10.1186/1471-2164-11-468 |
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author | Deulvot, Chrystel Charrel, Hélène Marty, Amandine Jacquin, Françoise Donnadieu, Cécile Lejeune-Hénaut, Isabelle Burstin, Judith Aubert, Grégoire |
author_facet | Deulvot, Chrystel Charrel, Hélène Marty, Amandine Jacquin, Françoise Donnadieu, Cécile Lejeune-Hénaut, Isabelle Burstin, Judith Aubert, Grégoire |
author_sort | Deulvot, Chrystel |
collection | PubMed |
description | BACKGROUND: Single Nucleotide Polymorphisms (SNPs) can be used as genetic markers for applications such as genetic diversity studies or genetic mapping. New technologies now allow genotyping hundreds to thousands of SNPs in a single reaction. In order to evaluate the potential of these technologies in pea, we selected a custom 384-SNP set using SNPs discovered in Pisum through the resequencing of gene fragments in different genotypes and by compiling genomic sequence data present in databases. We then designed an Illumina GoldenGate assay to genotype both a Pisum germplasm collection and a genetic mapping population with the SNP set. RESULTS: We obtained clear allelic data for more than 92% of the SNPs (356 out of 384). Interestingly, the technique was successful for all the genotypes present in the germplasm collection, including those from species or subspecies different from the P. sativum ssp sativum used to generate sequences. By genotyping the mapping population with the SNP set, we obtained a genetic map and map positions for 37 new gene markers. CONCLUSION: Our results show that the Illumina GoldenGate assay can be used successfully for high-throughput SNP genotyping of diverse germplasm in pea. This genotyping approach will simplify genotyping procedures for association mapping or diversity studies purposes and open new perspectives in legume genomics. |
format | Text |
id | pubmed-3091664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30916642011-05-11 Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea Deulvot, Chrystel Charrel, Hélène Marty, Amandine Jacquin, Françoise Donnadieu, Cécile Lejeune-Hénaut, Isabelle Burstin, Judith Aubert, Grégoire BMC Genomics Research Article BACKGROUND: Single Nucleotide Polymorphisms (SNPs) can be used as genetic markers for applications such as genetic diversity studies or genetic mapping. New technologies now allow genotyping hundreds to thousands of SNPs in a single reaction. In order to evaluate the potential of these technologies in pea, we selected a custom 384-SNP set using SNPs discovered in Pisum through the resequencing of gene fragments in different genotypes and by compiling genomic sequence data present in databases. We then designed an Illumina GoldenGate assay to genotype both a Pisum germplasm collection and a genetic mapping population with the SNP set. RESULTS: We obtained clear allelic data for more than 92% of the SNPs (356 out of 384). Interestingly, the technique was successful for all the genotypes present in the germplasm collection, including those from species or subspecies different from the P. sativum ssp sativum used to generate sequences. By genotyping the mapping population with the SNP set, we obtained a genetic map and map positions for 37 new gene markers. CONCLUSION: Our results show that the Illumina GoldenGate assay can be used successfully for high-throughput SNP genotyping of diverse germplasm in pea. This genotyping approach will simplify genotyping procedures for association mapping or diversity studies purposes and open new perspectives in legume genomics. BioMed Central 2010-08-11 /pmc/articles/PMC3091664/ /pubmed/20701750 http://dx.doi.org/10.1186/1471-2164-11-468 Text en Copyright ©2010 Deulvot et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Deulvot, Chrystel Charrel, Hélène Marty, Amandine Jacquin, Françoise Donnadieu, Cécile Lejeune-Hénaut, Isabelle Burstin, Judith Aubert, Grégoire Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea |
title | Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea |
title_full | Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea |
title_fullStr | Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea |
title_full_unstemmed | Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea |
title_short | Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea |
title_sort | highly-multiplexed snp genotyping for genetic mapping and germplasm diversity studies in pea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091664/ https://www.ncbi.nlm.nih.gov/pubmed/20701750 http://dx.doi.org/10.1186/1471-2164-11-468 |
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