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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4754706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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