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High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L
BACKGROUND: High density genetic maps built with SNP markers that are polymorphic in various genetic backgrounds are very useful for studying the genetics of agronomical traits as well as genome organization and evolution. Simultaneous dense SNP genotyping of segregating populations and variety coll...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600037/ https://www.ncbi.nlm.nih.gov/pubmed/23432809 http://dx.doi.org/10.1186/1471-2164-14-120 |
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author | Delourme, Régine Falentin, Cyril Fomeju, Berline Fopa Boillot, Marie Lassalle, Gilles André, Isabelle Duarte, Jorge Gauthier, Valérie Lucante, Nicole Marty, Amandine Pauchon, Maryline Pichon, Jean-Philippe Ribière, Nicolas Trotoux, Gwenn Blanchard, Philippe Rivière, Nathalie Martinant, Jean-Pierre Pauquet, Jérôme |
author_facet | Delourme, Régine Falentin, Cyril Fomeju, Berline Fopa Boillot, Marie Lassalle, Gilles André, Isabelle Duarte, Jorge Gauthier, Valérie Lucante, Nicole Marty, Amandine Pauchon, Maryline Pichon, Jean-Philippe Ribière, Nicolas Trotoux, Gwenn Blanchard, Philippe Rivière, Nathalie Martinant, Jean-Pierre Pauquet, Jérôme |
author_sort | Delourme, Régine |
collection | PubMed |
description | BACKGROUND: High density genetic maps built with SNP markers that are polymorphic in various genetic backgrounds are very useful for studying the genetics of agronomical traits as well as genome organization and evolution. Simultaneous dense SNP genotyping of segregating populations and variety collections was applied to oilseed rape (Brassica napus L.) to obtain a high density genetic map for this species and to study the linkage disequilibrium pattern. RESULTS: We developed an integrated genetic map for oilseed rape by high throughput SNP genotyping of four segregating doubled haploid populations. A very high level of collinearity was observed between the four individual maps and a large number of markers (>59%) was common to more than two maps. The precise integrated map comprises 5764 SNP and 1603 PCR markers. With a total genetic length of 2250 cM, the integrated map contains a density of 3.27 markers (2.56 SNP) per cM. Genotyping of these mapped SNP markers in oilseed rape collections allowed polymorphism level and linkage disequilibrium (LD) to be studied across the different collections (winter vs spring, different seed quality types) and along the linkage groups. Overall, polymorphism level was higher and LD decayed faster in spring than in “00” winter oilseed rape types but this was shown to vary greatly along the linkage groups. CONCLUSIONS: Our study provides a valuable resource for further genetic studies using linkage or association mapping, for marker assisted breeding and for Brassica napus sequence assembly and genome organization analyses. |
format | Online Article Text |
id | pubmed-3600037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36000372013-03-18 High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L Delourme, Régine Falentin, Cyril Fomeju, Berline Fopa Boillot, Marie Lassalle, Gilles André, Isabelle Duarte, Jorge Gauthier, Valérie Lucante, Nicole Marty, Amandine Pauchon, Maryline Pichon, Jean-Philippe Ribière, Nicolas Trotoux, Gwenn Blanchard, Philippe Rivière, Nathalie Martinant, Jean-Pierre Pauquet, Jérôme BMC Genomics Research Article BACKGROUND: High density genetic maps built with SNP markers that are polymorphic in various genetic backgrounds are very useful for studying the genetics of agronomical traits as well as genome organization and evolution. Simultaneous dense SNP genotyping of segregating populations and variety collections was applied to oilseed rape (Brassica napus L.) to obtain a high density genetic map for this species and to study the linkage disequilibrium pattern. RESULTS: We developed an integrated genetic map for oilseed rape by high throughput SNP genotyping of four segregating doubled haploid populations. A very high level of collinearity was observed between the four individual maps and a large number of markers (>59%) was common to more than two maps. The precise integrated map comprises 5764 SNP and 1603 PCR markers. With a total genetic length of 2250 cM, the integrated map contains a density of 3.27 markers (2.56 SNP) per cM. Genotyping of these mapped SNP markers in oilseed rape collections allowed polymorphism level and linkage disequilibrium (LD) to be studied across the different collections (winter vs spring, different seed quality types) and along the linkage groups. Overall, polymorphism level was higher and LD decayed faster in spring than in “00” winter oilseed rape types but this was shown to vary greatly along the linkage groups. CONCLUSIONS: Our study provides a valuable resource for further genetic studies using linkage or association mapping, for marker assisted breeding and for Brassica napus sequence assembly and genome organization analyses. BioMed Central 2013-02-22 /pmc/articles/PMC3600037/ /pubmed/23432809 http://dx.doi.org/10.1186/1471-2164-14-120 Text en Copyright ©2013 Delourme 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 Delourme, Régine Falentin, Cyril Fomeju, Berline Fopa Boillot, Marie Lassalle, Gilles André, Isabelle Duarte, Jorge Gauthier, Valérie Lucante, Nicole Marty, Amandine Pauchon, Maryline Pichon, Jean-Philippe Ribière, Nicolas Trotoux, Gwenn Blanchard, Philippe Rivière, Nathalie Martinant, Jean-Pierre Pauquet, Jérôme High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L |
title | High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L |
title_full | High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L |
title_fullStr | High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L |
title_full_unstemmed | High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L |
title_short | High-density SNP-based genetic map development and linkage disequilibrium assessment in Brassica napus L |
title_sort | high-density snp-based genetic map development and linkage disequilibrium assessment in brassica napus l |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600037/ https://www.ncbi.nlm.nih.gov/pubmed/23432809 http://dx.doi.org/10.1186/1471-2164-14-120 |
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