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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4481505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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