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Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits

Plants have developed sophisticated systems to adapt to local conditions during evolution, domestication and natural or artificial selection. The selective pressures of these different growing conditions have caused significant genomic divergence within species. The flowering time trait is the most...

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Autores principales: Wang, Nian, Chen, Biyun, Xu, Kun, Gao, Guizhen, Li, Feng, Qiao, Jiangwei, Yan, Guixin, Li, Jun, Li, Hao, Wu, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4805649/
https://www.ncbi.nlm.nih.gov/pubmed/27047517
http://dx.doi.org/10.3389/fpls.2016.00338
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author Wang, Nian
Chen, Biyun
Xu, Kun
Gao, Guizhen
Li, Feng
Qiao, Jiangwei
Yan, Guixin
Li, Jun
Li, Hao
Wu, Xiaoming
author_facet Wang, Nian
Chen, Biyun
Xu, Kun
Gao, Guizhen
Li, Feng
Qiao, Jiangwei
Yan, Guixin
Li, Jun
Li, Hao
Wu, Xiaoming
author_sort Wang, Nian
collection PubMed
description Plants have developed sophisticated systems to adapt to local conditions during evolution, domestication and natural or artificial selection. The selective pressures of these different growing conditions have caused significant genomic divergence within species. The flowering time trait is the most crucial factor because it helps plants to maintain sustainable development. Controlling flowering at appropriate times can also prevent plants from suffering from adverse growth conditions, such as drought, winter hardness, and disease. Hence, discovering the genome-wide genetic mechanisms that influence flowering time variations and understanding their contributions to adaptation should be a central goal of plant genetics and genomics. A global core collection panel with 448 inbred rapeseed lines was first planted in four independent environments, and their flowering time traits were evaluated. We then performed a genome-wide association mapping of flowering times with a 60 K SNP array for this core collection. With quality control and filtration, 20,342 SNP markers were ultimately used for further analyses. In total, 312 SNPs showed marker-trait associations in all four environments, and they were based on a threshold p-value of 4.06 × 10(−4); the 40 QTLs showed significant association with flowering time variations. To explore flowering time QTLs and genes related to growth habits in rapeseed, selection signals related to divergent habits were screened at the genome-wide level and 117 genomic regions were found. Comparing locations of flowering time QTLs and genes with these selection regions revealed that 20 flowering time QTLs and 224 flowering time genes overlapped with 24 and 81 selected regions, respectively. Based on this study, a number of marker-trait associations and candidate genes for flowering time variations in rapeseed were revealed. Moreover, we also showed that both flowering time QTLs and genes play important roles in rapeseed growth habits. These results will be applied to rapeseed breeding programs, and they will aid in our understanding of the relation between flowering time variations and growth habits in plants.
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spelling pubmed-48056492016-04-04 Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits Wang, Nian Chen, Biyun Xu, Kun Gao, Guizhen Li, Feng Qiao, Jiangwei Yan, Guixin Li, Jun Li, Hao Wu, Xiaoming Front Plant Sci Plant Science Plants have developed sophisticated systems to adapt to local conditions during evolution, domestication and natural or artificial selection. The selective pressures of these different growing conditions have caused significant genomic divergence within species. The flowering time trait is the most crucial factor because it helps plants to maintain sustainable development. Controlling flowering at appropriate times can also prevent plants from suffering from adverse growth conditions, such as drought, winter hardness, and disease. Hence, discovering the genome-wide genetic mechanisms that influence flowering time variations and understanding their contributions to adaptation should be a central goal of plant genetics and genomics. A global core collection panel with 448 inbred rapeseed lines was first planted in four independent environments, and their flowering time traits were evaluated. We then performed a genome-wide association mapping of flowering times with a 60 K SNP array for this core collection. With quality control and filtration, 20,342 SNP markers were ultimately used for further analyses. In total, 312 SNPs showed marker-trait associations in all four environments, and they were based on a threshold p-value of 4.06 × 10(−4); the 40 QTLs showed significant association with flowering time variations. To explore flowering time QTLs and genes related to growth habits in rapeseed, selection signals related to divergent habits were screened at the genome-wide level and 117 genomic regions were found. Comparing locations of flowering time QTLs and genes with these selection regions revealed that 20 flowering time QTLs and 224 flowering time genes overlapped with 24 and 81 selected regions, respectively. Based on this study, a number of marker-trait associations and candidate genes for flowering time variations in rapeseed were revealed. Moreover, we also showed that both flowering time QTLs and genes play important roles in rapeseed growth habits. These results will be applied to rapeseed breeding programs, and they will aid in our understanding of the relation between flowering time variations and growth habits in plants. Frontiers Media S.A. 2016-03-24 /pmc/articles/PMC4805649/ /pubmed/27047517 http://dx.doi.org/10.3389/fpls.2016.00338 Text en Copyright © 2016 Wang, Chen, Xu, Gao, Li, Qiao, Yan, Li, Li and Wu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Wang, Nian
Chen, Biyun
Xu, Kun
Gao, Guizhen
Li, Feng
Qiao, Jiangwei
Yan, Guixin
Li, Jun
Li, Hao
Wu, Xiaoming
Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits
title Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits
title_full Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits
title_fullStr Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits
title_full_unstemmed Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits
title_short Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits
title_sort association mapping of flowering time qtls and insight into their contributions to rapeseed growth habits
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4805649/
https://www.ncbi.nlm.nih.gov/pubmed/27047517
http://dx.doi.org/10.3389/fpls.2016.00338
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