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Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine
BACKGROUND: The accessibility of high-throughput genotyping technologies has contributed greatly to the development of genomic resources in non-model organisms. High-density genotyping arrays have only recently been developed for some economically important species such as conifers. The potential fo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029062/ https://www.ncbi.nlm.nih.gov/pubmed/24581176 http://dx.doi.org/10.1186/1471-2164-15-171 |
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author | Plomion, Christophe Chancerel, Emilie Endelman, Jeffrey Lamy, Jean-Baptiste Mandrou, Eric Lesur, Isabelle Ehrenmann, François Isik, Fikret Bink, Marco CAM van Heerwaarden, Joost Bouffier, Laurent |
author_facet | Plomion, Christophe Chancerel, Emilie Endelman, Jeffrey Lamy, Jean-Baptiste Mandrou, Eric Lesur, Isabelle Ehrenmann, François Isik, Fikret Bink, Marco CAM van Heerwaarden, Joost Bouffier, Laurent |
author_sort | Plomion, Christophe |
collection | PubMed |
description | BACKGROUND: The accessibility of high-throughput genotyping technologies has contributed greatly to the development of genomic resources in non-model organisms. High-density genotyping arrays have only recently been developed for some economically important species such as conifers. The potential for using genomic technologies in association mapping and breeding depends largely on the genome wide patterns of diversity and linkage disequilibrium in current breeding populations. This study aims to deepen our knowledge regarding these issues in maritime pine, the first species used for reforestation in south western Europe. RESULTS: Using a new map merging algorithm, we first established a 1,712 cM composite linkage map (comprising 1,838 SNP markers in 12 linkage groups) by bringing together three already available genetic maps. Using rigorous statistical testing based on kernel density estimation and resampling we identified cold and hot spots of recombination. In parallel, 186 unrelated trees of a mass-selected population were genotyped using a 12k-SNP array. A total of 2,600 informative SNPs allowed to describe historical recombination, genetic diversity and genetic structure of this recently domesticated breeding pool that forms the basis of much of the current and future breeding of this species. We observe very low levels of population genetic structure and find no evidence that artificial selection has caused a reduction in genetic diversity. By combining these two pieces of information, we provided the map position of 1,671 SNPs corresponding to 1,192 different loci. This made it possible to analyze the spatial pattern of genetic diversity (H( e )) and long distance linkage disequilibrium (LD) along the chromosomes. We found no particular pattern in the empirical variogram of H( e ) across the 12 linkage groups and, as expected for an outcrossing species with large effective population size, we observed an almost complete lack of long distance LD. CONCLUSIONS: These results are a stepping stone for the development of strategies for studies in population genomics, association mapping and genomic prediction in this economical and ecologically important forest tree species. |
format | Online Article Text |
id | pubmed-4029062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40290622014-05-22 Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine Plomion, Christophe Chancerel, Emilie Endelman, Jeffrey Lamy, Jean-Baptiste Mandrou, Eric Lesur, Isabelle Ehrenmann, François Isik, Fikret Bink, Marco CAM van Heerwaarden, Joost Bouffier, Laurent BMC Genomics Research Article BACKGROUND: The accessibility of high-throughput genotyping technologies has contributed greatly to the development of genomic resources in non-model organisms. High-density genotyping arrays have only recently been developed for some economically important species such as conifers. The potential for using genomic technologies in association mapping and breeding depends largely on the genome wide patterns of diversity and linkage disequilibrium in current breeding populations. This study aims to deepen our knowledge regarding these issues in maritime pine, the first species used for reforestation in south western Europe. RESULTS: Using a new map merging algorithm, we first established a 1,712 cM composite linkage map (comprising 1,838 SNP markers in 12 linkage groups) by bringing together three already available genetic maps. Using rigorous statistical testing based on kernel density estimation and resampling we identified cold and hot spots of recombination. In parallel, 186 unrelated trees of a mass-selected population were genotyped using a 12k-SNP array. A total of 2,600 informative SNPs allowed to describe historical recombination, genetic diversity and genetic structure of this recently domesticated breeding pool that forms the basis of much of the current and future breeding of this species. We observe very low levels of population genetic structure and find no evidence that artificial selection has caused a reduction in genetic diversity. By combining these two pieces of information, we provided the map position of 1,671 SNPs corresponding to 1,192 different loci. This made it possible to analyze the spatial pattern of genetic diversity (H( e )) and long distance linkage disequilibrium (LD) along the chromosomes. We found no particular pattern in the empirical variogram of H( e ) across the 12 linkage groups and, as expected for an outcrossing species with large effective population size, we observed an almost complete lack of long distance LD. CONCLUSIONS: These results are a stepping stone for the development of strategies for studies in population genomics, association mapping and genomic prediction in this economical and ecologically important forest tree species. BioMed Central 2014-03-01 /pmc/articles/PMC4029062/ /pubmed/24581176 http://dx.doi.org/10.1186/1471-2164-15-171 Text en Copyright © 2014 Plomion 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 credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Plomion, Christophe Chancerel, Emilie Endelman, Jeffrey Lamy, Jean-Baptiste Mandrou, Eric Lesur, Isabelle Ehrenmann, François Isik, Fikret Bink, Marco CAM van Heerwaarden, Joost Bouffier, Laurent Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
title | Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
title_full | Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
title_fullStr | Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
title_full_unstemmed | Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
title_short | Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
title_sort | genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029062/ https://www.ncbi.nlm.nih.gov/pubmed/24581176 http://dx.doi.org/10.1186/1471-2164-15-171 |
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