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QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments

A population of 178 recombinant inbred lines (RILs) was developed using a single seed descendant from a cross between G. hirsutum. acc DH962 and G. hirsutum. cv Jimian5, was used to construct a genetic map and to map QTL for fiber and yield traits. A total of 644 polymorphic loci were used to constr...

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Autores principales: Wang, Hantao, Huang, Cong, Guo, Huanle, Li, Ximei, Zhao, Wenxia, Dai, Baosheng, Yan, Zhenhua, Lin, Zhongxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481505/
https://www.ncbi.nlm.nih.gov/pubmed/26110526
http://dx.doi.org/10.1371/journal.pone.0130742
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author Wang, Hantao
Huang, Cong
Guo, Huanle
Li, Ximei
Zhao, Wenxia
Dai, Baosheng
Yan, Zhenhua
Lin, Zhongxu
author_facet Wang, Hantao
Huang, Cong
Guo, Huanle
Li, Ximei
Zhao, Wenxia
Dai, Baosheng
Yan, Zhenhua
Lin, Zhongxu
author_sort Wang, Hantao
collection PubMed
description A population of 178 recombinant inbred lines (RILs) was developed using a single seed descendant from a cross between G. hirsutum. acc DH962 and G. hirsutum. cv Jimian5, was used to construct a genetic map and to map QTL for fiber and yield traits. A total of 644 polymorphic loci were used to construct a final genetic map, containing 616 loci and spanning 2016.44 cM, with an average of 3.27 cM between adjacent markers. Statistical analysis revealed that segregation distortion in the intraspecific population was more serious than that in the interspecific population. The RIL population and the two parents were phenotyped under 8 environments (two locations, six years), revealing a total of 134 QTL, including 64 for fiber qualities and 70 for yield components, independently detected in seven environments, explaining 4.40–15.28% of phenotypic variation (PV). Among the 134 QTL, 9 common QTL were detected in more than one environment, and 22 QTL and 19 new QTL were detected in combined analysis (E9). A total of 26 QTL hotspot regions were observed on 13 chromosomes and 2 larger linkage groups, and some QTL clusters related to fiber qualities or yield components were also observed. The results obtained in the present study suggested that to map accurate QTL in crops with larger plant types, such as cotton, phenotyping under multiple environments is necessary to effectively apply the obtained results in molecular marker-assisted selection breeding and QTL cloning.
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spelling pubmed-44815052015-07-01 QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments Wang, Hantao Huang, Cong Guo, Huanle Li, Ximei Zhao, Wenxia Dai, Baosheng Yan, Zhenhua Lin, Zhongxu PLoS One Research Article A population of 178 recombinant inbred lines (RILs) was developed using a single seed descendant from a cross between G. hirsutum. acc DH962 and G. hirsutum. cv Jimian5, was used to construct a genetic map and to map QTL for fiber and yield traits. A total of 644 polymorphic loci were used to construct a final genetic map, containing 616 loci and spanning 2016.44 cM, with an average of 3.27 cM between adjacent markers. Statistical analysis revealed that segregation distortion in the intraspecific population was more serious than that in the interspecific population. The RIL population and the two parents were phenotyped under 8 environments (two locations, six years), revealing a total of 134 QTL, including 64 for fiber qualities and 70 for yield components, independently detected in seven environments, explaining 4.40–15.28% of phenotypic variation (PV). Among the 134 QTL, 9 common QTL were detected in more than one environment, and 22 QTL and 19 new QTL were detected in combined analysis (E9). A total of 26 QTL hotspot regions were observed on 13 chromosomes and 2 larger linkage groups, and some QTL clusters related to fiber qualities or yield components were also observed. The results obtained in the present study suggested that to map accurate QTL in crops with larger plant types, such as cotton, phenotyping under multiple environments is necessary to effectively apply the obtained results in molecular marker-assisted selection breeding and QTL cloning. Public Library of Science 2015-06-25 /pmc/articles/PMC4481505/ /pubmed/26110526 http://dx.doi.org/10.1371/journal.pone.0130742 Text en © 2015 Wang 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
Wang, Hantao
Huang, Cong
Guo, Huanle
Li, Ximei
Zhao, Wenxia
Dai, Baosheng
Yan, Zhenhua
Lin, Zhongxu
QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
title QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
title_full QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
title_fullStr QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
title_full_unstemmed QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
title_short QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
title_sort qtl mapping for fiber and yield traits in upland cotton under multiple environments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481505/
https://www.ncbi.nlm.nih.gov/pubmed/26110526
http://dx.doi.org/10.1371/journal.pone.0130742
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