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Dissecting the Genetic Basis of Local Adaptation in Soybean
Soybean (Glycine max) is the most widely grown oilseed in the world and is an important source of protein for both humans and livestock. Soybean is widely adapted to both temperate and tropical regions, but a changing climate demands a better understanding of adaptation to specific environmental con...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722827/ https://www.ncbi.nlm.nih.gov/pubmed/29222468 http://dx.doi.org/10.1038/s41598-017-17342-w |
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author | Bandillo, Nonoy B. Anderson, Justin E. Kantar, Michael B. Stupar, Robert M. Specht, James E. Graef, George L. Lorenz, Aaron J. |
author_facet | Bandillo, Nonoy B. Anderson, Justin E. Kantar, Michael B. Stupar, Robert M. Specht, James E. Graef, George L. Lorenz, Aaron J. |
author_sort | Bandillo, Nonoy B. |
collection | PubMed |
description | Soybean (Glycine max) is the most widely grown oilseed in the world and is an important source of protein for both humans and livestock. Soybean is widely adapted to both temperate and tropical regions, but a changing climate demands a better understanding of adaptation to specific environmental conditions. Here, we explore genetic variation in a collection of 3,012 georeferenced, locally adapted landraces from a broad geographical range to help elucidate the genetic basis of local adaptation. We used geographic origin, environmental data and dense genome-wide SNP data to perform an environmental association analysis and discover loci displaying steep gradients in allele frequency across geographical distance and between landrace and modern cultivars. Our combined application of methods in environmental association mapping and detection of selection targets provide a better understanding of how geography and selection may have shaped genetic variation among soybean landraces. Moreover, we identified several important candidate genes related to drought and heat stress, and revealed important genomic regions possibly involved in the geographic divergence of soybean. |
format | Online Article Text |
id | pubmed-5722827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57228272017-12-12 Dissecting the Genetic Basis of Local Adaptation in Soybean Bandillo, Nonoy B. Anderson, Justin E. Kantar, Michael B. Stupar, Robert M. Specht, James E. Graef, George L. Lorenz, Aaron J. Sci Rep Article Soybean (Glycine max) is the most widely grown oilseed in the world and is an important source of protein for both humans and livestock. Soybean is widely adapted to both temperate and tropical regions, but a changing climate demands a better understanding of adaptation to specific environmental conditions. Here, we explore genetic variation in a collection of 3,012 georeferenced, locally adapted landraces from a broad geographical range to help elucidate the genetic basis of local adaptation. We used geographic origin, environmental data and dense genome-wide SNP data to perform an environmental association analysis and discover loci displaying steep gradients in allele frequency across geographical distance and between landrace and modern cultivars. Our combined application of methods in environmental association mapping and detection of selection targets provide a better understanding of how geography and selection may have shaped genetic variation among soybean landraces. Moreover, we identified several important candidate genes related to drought and heat stress, and revealed important genomic regions possibly involved in the geographic divergence of soybean. Nature Publishing Group UK 2017-12-08 /pmc/articles/PMC5722827/ /pubmed/29222468 http://dx.doi.org/10.1038/s41598-017-17342-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bandillo, Nonoy B. Anderson, Justin E. Kantar, Michael B. Stupar, Robert M. Specht, James E. Graef, George L. Lorenz, Aaron J. Dissecting the Genetic Basis of Local Adaptation in Soybean |
title | Dissecting the Genetic Basis of Local Adaptation in Soybean |
title_full | Dissecting the Genetic Basis of Local Adaptation in Soybean |
title_fullStr | Dissecting the Genetic Basis of Local Adaptation in Soybean |
title_full_unstemmed | Dissecting the Genetic Basis of Local Adaptation in Soybean |
title_short | Dissecting the Genetic Basis of Local Adaptation in Soybean |
title_sort | dissecting the genetic basis of local adaptation in soybean |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722827/ https://www.ncbi.nlm.nih.gov/pubmed/29222468 http://dx.doi.org/10.1038/s41598-017-17342-w |
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