Cargando…
Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature
Flowering time is a key life-history trait in the plant life cycle. Most studies to unravel the genetics of flowering time in Arabidopsis thaliana have been performed under greenhouse conditions. Here, we describe a study about the genetics of flowering time that differs from previous studies in two...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2865524/ https://www.ncbi.nlm.nih.gov/pubmed/20463887 http://dx.doi.org/10.1371/journal.pgen.1000940 |
_version_ | 1782180850553585664 |
---|---|
author | Brachi, Benjamin Faure, Nathalie Horton, Matt Flahauw, Emilie Vazquez, Adeline Nordborg, Magnus Bergelson, Joy Cuguen, Joel Roux, Fabrice |
author_facet | Brachi, Benjamin Faure, Nathalie Horton, Matt Flahauw, Emilie Vazquez, Adeline Nordborg, Magnus Bergelson, Joy Cuguen, Joel Roux, Fabrice |
author_sort | Brachi, Benjamin |
collection | PubMed |
description | Flowering time is a key life-history trait in the plant life cycle. Most studies to unravel the genetics of flowering time in Arabidopsis thaliana have been performed under greenhouse conditions. Here, we describe a study about the genetics of flowering time that differs from previous studies in two important ways: first, we measure flowering time in a more complex and ecologically realistic environment; and, second, we combine the advantages of genome-wide association (GWA) and traditional linkage (QTL) mapping. Our experiments involved phenotyping nearly 20,000 plants over 2 winters under field conditions, including 184 worldwide natural accessions genotyped for 216,509 SNPs and 4,366 RILs derived from 13 independent crosses chosen to maximize genetic and phenotypic diversity. Based on a photothermal time model, the flowering time variation scored in our field experiment was poorly correlated with the flowering time variation previously obtained under greenhouse conditions, reinforcing previous demonstrations of the importance of genotype by environment interactions in A. thaliana and the need to study adaptive variation under natural conditions. The use of 4,366 RILs provides great power for dissecting the genetic architecture of flowering time in A. thaliana under our specific field conditions. We describe more than 60 additive QTLs, all with relatively small to medium effects and organized in 5 major clusters. We show that QTL mapping increases our power to distinguish true from false associations in GWA mapping. QTL mapping also permits the identification of false negatives, that is, causative SNPs that are lost when applying GWA methods that control for population structure. Major genes underpinning flowering time in the greenhouse were not associated with flowering time in this study. Instead, we found a prevalence of genes involved in the regulation of the plant circadian clock. Furthermore, we identified new genomic regions lacking obvious candidate genes. |
format | Text |
id | pubmed-2865524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28655242010-05-12 Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature Brachi, Benjamin Faure, Nathalie Horton, Matt Flahauw, Emilie Vazquez, Adeline Nordborg, Magnus Bergelson, Joy Cuguen, Joel Roux, Fabrice PLoS Genet Research Article Flowering time is a key life-history trait in the plant life cycle. Most studies to unravel the genetics of flowering time in Arabidopsis thaliana have been performed under greenhouse conditions. Here, we describe a study about the genetics of flowering time that differs from previous studies in two important ways: first, we measure flowering time in a more complex and ecologically realistic environment; and, second, we combine the advantages of genome-wide association (GWA) and traditional linkage (QTL) mapping. Our experiments involved phenotyping nearly 20,000 plants over 2 winters under field conditions, including 184 worldwide natural accessions genotyped for 216,509 SNPs and 4,366 RILs derived from 13 independent crosses chosen to maximize genetic and phenotypic diversity. Based on a photothermal time model, the flowering time variation scored in our field experiment was poorly correlated with the flowering time variation previously obtained under greenhouse conditions, reinforcing previous demonstrations of the importance of genotype by environment interactions in A. thaliana and the need to study adaptive variation under natural conditions. The use of 4,366 RILs provides great power for dissecting the genetic architecture of flowering time in A. thaliana under our specific field conditions. We describe more than 60 additive QTLs, all with relatively small to medium effects and organized in 5 major clusters. We show that QTL mapping increases our power to distinguish true from false associations in GWA mapping. QTL mapping also permits the identification of false negatives, that is, causative SNPs that are lost when applying GWA methods that control for population structure. Major genes underpinning flowering time in the greenhouse were not associated with flowering time in this study. Instead, we found a prevalence of genes involved in the regulation of the plant circadian clock. Furthermore, we identified new genomic regions lacking obvious candidate genes. Public Library of Science 2010-05-06 /pmc/articles/PMC2865524/ /pubmed/20463887 http://dx.doi.org/10.1371/journal.pgen.1000940 Text en Brachi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Brachi, Benjamin Faure, Nathalie Horton, Matt Flahauw, Emilie Vazquez, Adeline Nordborg, Magnus Bergelson, Joy Cuguen, Joel Roux, Fabrice Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature |
title | Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature |
title_full | Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature |
title_fullStr | Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature |
title_full_unstemmed | Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature |
title_short | Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature |
title_sort | linkage and association mapping of arabidopsis thaliana flowering time in nature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2865524/ https://www.ncbi.nlm.nih.gov/pubmed/20463887 http://dx.doi.org/10.1371/journal.pgen.1000940 |
work_keys_str_mv | AT brachibenjamin linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT faurenathalie linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT hortonmatt linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT flahauwemilie linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT vazquezadeline linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT nordborgmagnus linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT bergelsonjoy linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT cuguenjoel linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature AT rouxfabrice linkageandassociationmappingofarabidopsisthalianafloweringtimeinnature |