QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study

Ferrous iron (Fe) and zinc (Zn) at high concentration in the soil cause heavy metal toxicity and greatly affect rice yield and quality. To improve rice production, understanding the genetic and molecular resistance mechanisms to excess Fe and Zn in rice is essential. Genome-wide association study (G...

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Main Authors: Zhang, Jian, Chen, Kai, Pang, Yunlong, Naveed, Shahzad Amir, Zhao, Xiuqin, Wang, Xiaoqian, Wang, Yun, Dingkuhn, Michael, Pasuquin, Julie, Li, Zhikang, Xu, Jianlong
Format: Journal Article
Language:Inglés
Published: Springer 2017
Online Access:https://hdl.handle.net/10568/164970
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author Zhang, Jian
Chen, Kai
Pang, Yunlong
Naveed, Shahzad Amir
Zhao, Xiuqin
Wang, Xiaoqian
Wang, Yun
Dingkuhn, Michael
Pasuquin, Julie
Li, Zhikang
Xu, Jianlong
author_browse Chen, Kai
Dingkuhn, Michael
Li, Zhikang
Naveed, Shahzad Amir
Pang, Yunlong
Pasuquin, Julie
Wang, Xiaoqian
Wang, Yun
Xu, Jianlong
Zhang, Jian
Zhao, Xiuqin
author_facet Zhang, Jian
Chen, Kai
Pang, Yunlong
Naveed, Shahzad Amir
Zhao, Xiuqin
Wang, Xiaoqian
Wang, Yun
Dingkuhn, Michael
Pasuquin, Julie
Li, Zhikang
Xu, Jianlong
author_sort Zhang, Jian
collection Repository of Agricultural Research Outputs (CGSpace)
description Ferrous iron (Fe) and zinc (Zn) at high concentration in the soil cause heavy metal toxicity and greatly affect rice yield and quality. To improve rice production, understanding the genetic and molecular resistance mechanisms to excess Fe and Zn in rice is essential. Genome-wide association study (GWAS) is an effective way to identify loci and favorable alleles governing Fe and Zn toxicty as well as dissect the genetic relationship between them in a genetically diverse population A total of 29 and 31 putative QTL affecting shoot height (SH), root length (RL), shoot fresh weight (SFW), shoot dry weight (SDW), root dry weight (RDW), shoot water content (SWC) and shoot ion concentrations (SFe or SZn) were identified at seedling stage in Fe and Zn experiments, respectively. Five toxicity tolerance QTL (qSdw3a, qSdw3b, qSdw12 and qSFe5 / qSZn5) were detected in the same genomic regions under the two stress conditions and 22 candidate genes for 10 important QTL regions were also determined by haplotype analyses Rice plants share partial genetic overlaps of Fe and Zn toxicity tolerance at seedling stage. Candidate genes putatively affecting Fe and Zn toxicity tolerance identified in this study provide valuable information for future functional characterization and improvement of rice tolerance to Fe and Zn toxicity by marker-assisted selection or designed QTL pyramiding.
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spelling CGSpace1649702024-12-19T14:13:31Z QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study Zhang, Jian Chen, Kai Pang, Yunlong Naveed, Shahzad Amir Zhao, Xiuqin Wang, Xiaoqian Wang, Yun Dingkuhn, Michael Pasuquin, Julie Li, Zhikang Xu, Jianlong Ferrous iron (Fe) and zinc (Zn) at high concentration in the soil cause heavy metal toxicity and greatly affect rice yield and quality. To improve rice production, understanding the genetic and molecular resistance mechanisms to excess Fe and Zn in rice is essential. Genome-wide association study (GWAS) is an effective way to identify loci and favorable alleles governing Fe and Zn toxicty as well as dissect the genetic relationship between them in a genetically diverse population A total of 29 and 31 putative QTL affecting shoot height (SH), root length (RL), shoot fresh weight (SFW), shoot dry weight (SDW), root dry weight (RDW), shoot water content (SWC) and shoot ion concentrations (SFe or SZn) were identified at seedling stage in Fe and Zn experiments, respectively. Five toxicity tolerance QTL (qSdw3a, qSdw3b, qSdw12 and qSFe5 / qSZn5) were detected in the same genomic regions under the two stress conditions and 22 candidate genes for 10 important QTL regions were also determined by haplotype analyses Rice plants share partial genetic overlaps of Fe and Zn toxicity tolerance at seedling stage. Candidate genes putatively affecting Fe and Zn toxicity tolerance identified in this study provide valuable information for future functional characterization and improvement of rice tolerance to Fe and Zn toxicity by marker-assisted selection or designed QTL pyramiding. 2017-12 2024-12-19T12:54:32Z 2024-12-19T12:54:32Z Journal Article https://hdl.handle.net/10568/164970 en Open Access Springer Zhang, Jian; Chen, Kai; Pang, Yunlong; Naveed, Shahzad Amir; Zhao, Xiuqin; Wang, Xiaoqian; Wang, Yun; Dingkuhn, Michael; Pasuquin, Julie; Li, Zhikang and Xu, Jianlong. 2017. QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study. BMC Genomics, Volume 18, no. 1
spellingShingle Zhang, Jian
Chen, Kai
Pang, Yunlong
Naveed, Shahzad Amir
Zhao, Xiuqin
Wang, Xiaoqian
Wang, Yun
Dingkuhn, Michael
Pasuquin, Julie
Li, Zhikang
Xu, Jianlong
QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study
title QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study
title_full QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study
title_fullStr QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study
title_full_unstemmed QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study
title_short QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study
title_sort qtl mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome wide association study
url https://hdl.handle.net/10568/164970
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