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Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage

Soil waterlogging is one of the major abiotic stresses adversely affecting maize growth and yield. To identify dynamic expression of genes or quantitative trait loci (QTL), QTL associated with plant height, root length, root dry weight, shoot dry weight and total dry weight were identified via condi...

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Autores principales: Osman, Khalid A., Tang, Bin, Wang, Yaping, Chen, Juanhua, Yu, Feng, Li, Liu, Han, Xuesong, Zhang, Zuxin, Yan, Jianbin, Zheng, Yonglian, Yue, Bing, Qiu, Fazhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828346/
https://www.ncbi.nlm.nih.gov/pubmed/24244474
http://dx.doi.org/10.1371/journal.pone.0079305
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author Osman, Khalid A.
Tang, Bin
Wang, Yaping
Chen, Juanhua
Yu, Feng
Li, Liu
Han, Xuesong
Zhang, Zuxin
Yan, Jianbin
Zheng, Yonglian
Yue, Bing
Qiu, Fazhan
author_facet Osman, Khalid A.
Tang, Bin
Wang, Yaping
Chen, Juanhua
Yu, Feng
Li, Liu
Han, Xuesong
Zhang, Zuxin
Yan, Jianbin
Zheng, Yonglian
Yue, Bing
Qiu, Fazhan
author_sort Osman, Khalid A.
collection PubMed
description Soil waterlogging is one of the major abiotic stresses adversely affecting maize growth and yield. To identify dynamic expression of genes or quantitative trait loci (QTL), QTL associated with plant height, root length, root dry weight, shoot dry weight and total dry weight were identified via conditional analysis in a mixed linear model and inclusive composite interval mapping method at three respective periods under waterlogging and control conditions. A total of 13, 19 and 23 QTL were detected at stages 3D|0D (the period during 0–3 d of waterlogging), 6D|3D and 9D|6D, respectively. The effects of each QTL were moderate and distributed over nine chromosomes, singly explaining 4.14–18.88% of the phenotypic variation. Six QTL (ph6-1, rl1-2, sdw4-1, sdw7-1, tdw4-1 and tdw7-1) were identified at two consistent stages of seedling development, which could reflect a continuous expression of genes; the remaining QTL were detected at only one stage. Thus, expression of most QTL was influenced by the developmental status. In order to provide additional evidence regarding the role of corresponding genes in waterlogging tolerance, mapping of Expressed Sequence Tags markers and microRNAs were conducted. Seven candidate genes were observed to co-localize with the identified QTL on chromosomes 1, 4, 6, 7 and 9, and may be important candidate genes for waterlogging tolerance. These results are a good starting point for understanding the genetic basis for selectively expressing of QTL in different stress periods and the common genetic control mechanism of the co-localized traits.
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spelling pubmed-38283462013-11-16 Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage Osman, Khalid A. Tang, Bin Wang, Yaping Chen, Juanhua Yu, Feng Li, Liu Han, Xuesong Zhang, Zuxin Yan, Jianbin Zheng, Yonglian Yue, Bing Qiu, Fazhan PLoS One Research Article Soil waterlogging is one of the major abiotic stresses adversely affecting maize growth and yield. To identify dynamic expression of genes or quantitative trait loci (QTL), QTL associated with plant height, root length, root dry weight, shoot dry weight and total dry weight were identified via conditional analysis in a mixed linear model and inclusive composite interval mapping method at three respective periods under waterlogging and control conditions. A total of 13, 19 and 23 QTL were detected at stages 3D|0D (the period during 0–3 d of waterlogging), 6D|3D and 9D|6D, respectively. The effects of each QTL were moderate and distributed over nine chromosomes, singly explaining 4.14–18.88% of the phenotypic variation. Six QTL (ph6-1, rl1-2, sdw4-1, sdw7-1, tdw4-1 and tdw7-1) were identified at two consistent stages of seedling development, which could reflect a continuous expression of genes; the remaining QTL were detected at only one stage. Thus, expression of most QTL was influenced by the developmental status. In order to provide additional evidence regarding the role of corresponding genes in waterlogging tolerance, mapping of Expressed Sequence Tags markers and microRNAs were conducted. Seven candidate genes were observed to co-localize with the identified QTL on chromosomes 1, 4, 6, 7 and 9, and may be important candidate genes for waterlogging tolerance. These results are a good starting point for understanding the genetic basis for selectively expressing of QTL in different stress periods and the common genetic control mechanism of the co-localized traits. Public Library of Science 2013-11-14 /pmc/articles/PMC3828346/ /pubmed/24244474 http://dx.doi.org/10.1371/journal.pone.0079305 Text en © 2013 Osman 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
Osman, Khalid A.
Tang, Bin
Wang, Yaping
Chen, Juanhua
Yu, Feng
Li, Liu
Han, Xuesong
Zhang, Zuxin
Yan, Jianbin
Zheng, Yonglian
Yue, Bing
Qiu, Fazhan
Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage
title Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage
title_full Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage
title_fullStr Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage
title_full_unstemmed Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage
title_short Dynamic QTL Analysis and Candidate Gene Mapping for Waterlogging Tolerance at Maize Seedling Stage
title_sort dynamic qtl analysis and candidate gene mapping for waterlogging tolerance at maize seedling stage
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828346/
https://www.ncbi.nlm.nih.gov/pubmed/24244474
http://dx.doi.org/10.1371/journal.pone.0079305
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