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Genetic analysis of arsenic accumulation in maize using QTL mapping

Arsenic (As) is a toxic heavy metal that can accumulate in crops and poses a threat to human health. The genetic mechanism of As accumulation is unclear. Herein, we used quantitative trait locus (QTL) mapping to unravel the genetic basis of As accumulation in a maize recombinant inbred line populati...

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Autores principales: Fu, Zhongjun, Li, Weihua, Xing, Xiaolong, Xu, Mengmeng, Liu, Xiaoyang, Li, Haochuan, Xue, Yadong, Liu, Zonghua, Tang, Jihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754706/
https://www.ncbi.nlm.nih.gov/pubmed/26880701
http://dx.doi.org/10.1038/srep21292
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author Fu, Zhongjun
Li, Weihua
Xing, Xiaolong
Xu, Mengmeng
Liu, Xiaoyang
Li, Haochuan
Xue, Yadong
Liu, Zonghua
Tang, Jihua
author_facet Fu, Zhongjun
Li, Weihua
Xing, Xiaolong
Xu, Mengmeng
Liu, Xiaoyang
Li, Haochuan
Xue, Yadong
Liu, Zonghua
Tang, Jihua
author_sort Fu, Zhongjun
collection PubMed
description Arsenic (As) is a toxic heavy metal that can accumulate in crops and poses a threat to human health. The genetic mechanism of As accumulation is unclear. Herein, we used quantitative trait locus (QTL) mapping to unravel the genetic basis of As accumulation in a maize recombinant inbred line population derived from the Chinese crossbred variety Yuyu22. The kernels had the lowest As content among the different maize tissues, followed by the axes, stems, bracts and leaves. Fourteen QTLs were identified at each location. Some of these QTLs were identified in different environments and were also detected by joint analysis. Compared with the B73 RefGen v2 reference genome, the distributions and effects of some QTLs were closely linked to those of QTLs detected in a previous study; the QTLs were likely in strong linkage disequilibrium. Our findings could be used to help maintain maize production to satisfy the demand for edible corn and to decrease the As content in As-contaminated soil through the selection and breeding of As pollution-safe cultivars.
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spelling pubmed-47547062016-02-24 Genetic analysis of arsenic accumulation in maize using QTL mapping Fu, Zhongjun Li, Weihua Xing, Xiaolong Xu, Mengmeng Liu, Xiaoyang Li, Haochuan Xue, Yadong Liu, Zonghua Tang, Jihua Sci Rep Article Arsenic (As) is a toxic heavy metal that can accumulate in crops and poses a threat to human health. The genetic mechanism of As accumulation is unclear. Herein, we used quantitative trait locus (QTL) mapping to unravel the genetic basis of As accumulation in a maize recombinant inbred line population derived from the Chinese crossbred variety Yuyu22. The kernels had the lowest As content among the different maize tissues, followed by the axes, stems, bracts and leaves. Fourteen QTLs were identified at each location. Some of these QTLs were identified in different environments and were also detected by joint analysis. Compared with the B73 RefGen v2 reference genome, the distributions and effects of some QTLs were closely linked to those of QTLs detected in a previous study; the QTLs were likely in strong linkage disequilibrium. Our findings could be used to help maintain maize production to satisfy the demand for edible corn and to decrease the As content in As-contaminated soil through the selection and breeding of As pollution-safe cultivars. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4754706/ /pubmed/26880701 http://dx.doi.org/10.1038/srep21292 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Fu, Zhongjun
Li, Weihua
Xing, Xiaolong
Xu, Mengmeng
Liu, Xiaoyang
Li, Haochuan
Xue, Yadong
Liu, Zonghua
Tang, Jihua
Genetic analysis of arsenic accumulation in maize using QTL mapping
title Genetic analysis of arsenic accumulation in maize using QTL mapping
title_full Genetic analysis of arsenic accumulation in maize using QTL mapping
title_fullStr Genetic analysis of arsenic accumulation in maize using QTL mapping
title_full_unstemmed Genetic analysis of arsenic accumulation in maize using QTL mapping
title_short Genetic analysis of arsenic accumulation in maize using QTL mapping
title_sort genetic analysis of arsenic accumulation in maize using qtl mapping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754706/
https://www.ncbi.nlm.nih.gov/pubmed/26880701
http://dx.doi.org/10.1038/srep21292
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