Genome-wide association analysis identifies loci governing mercury accumulation in maize

Abstract Owing to the rapid development of urbanisation and industrialisation, heavy metal pollution has become a widespread environmental problem. Maize planted on mercury (Hg)-polluted soil can absorb and accumulate Hg in its edible parts, posing a potential threat to human health. To understand t...

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Autores principales:	Zhan Zhao, Zhongjun Fu, Yanan Lin, Hao Chen, Kun liu, Xiaolong Xing, Zonghua Liu, Weihua Li, Jihua Tang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/213a846a5a874da48cee899d83c27efc
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spelling	oai:doaj.org-article:213a846a5a874da48cee899d83c27efc2021-12-02T12:31:50ZGenome-wide association analysis identifies loci governing mercury accumulation in maize10.1038/s41598-017-00189-62045-2322https://doaj.org/article/213a846a5a874da48cee899d83c27efc2017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00189-6https://doaj.org/toc/2045-2322Abstract Owing to the rapid development of urbanisation and industrialisation, heavy metal pollution has become a widespread environmental problem. Maize planted on mercury (Hg)-polluted soil can absorb and accumulate Hg in its edible parts, posing a potential threat to human health. To understand the genetic mechanism of Hg accumulation in maize, we performed a genome-wide association study using a mixed linear model on an association population consisting of 230 maize inbred lines with abundant genetic variation. The order of relative Hg concentrations in different maize tissues was as follows: leaves > bracts > stems > axes > kernels. Combined two locations, a total of 37 significant single-nucleotide polymorphisms (SNPs) associated with kernels, 12 with axes, 13 with stems, 27 with bracts and 23 with leaves were detected with p < 0.0001. Each significant SNP was calculated and the SNPs significant associated with kernels, axes, stems, bracts and leaves explained 6.96%–10.56%, 7.19%–15.87%, 7.11%–10.19%, 7.16%–8.71% and 6.91%–9.17% of the phenotypic variation, respectively. Among the significant SNPs, nine co-localised with previously detected quantitative trait loci. This study will aid in the selection of Hg-accumulation inbred lines that satisfy the needs for pollution-safe cultivars and maintaining maize production.Zhan ZhaoZhongjun FuYanan LinHao ChenKun liuXiaolong XingZonghua LiuWeihua LiJihua TangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhan Zhao Zhongjun Fu Yanan Lin Hao Chen Kun liu Xiaolong Xing Zonghua Liu Weihua Li Jihua Tang Genome-wide association analysis identifies loci governing mercury accumulation in maize
description	Abstract Owing to the rapid development of urbanisation and industrialisation, heavy metal pollution has become a widespread environmental problem. Maize planted on mercury (Hg)-polluted soil can absorb and accumulate Hg in its edible parts, posing a potential threat to human health. To understand the genetic mechanism of Hg accumulation in maize, we performed a genome-wide association study using a mixed linear model on an association population consisting of 230 maize inbred lines with abundant genetic variation. The order of relative Hg concentrations in different maize tissues was as follows: leaves > bracts > stems > axes > kernels. Combined two locations, a total of 37 significant single-nucleotide polymorphisms (SNPs) associated with kernels, 12 with axes, 13 with stems, 27 with bracts and 23 with leaves were detected with p < 0.0001. Each significant SNP was calculated and the SNPs significant associated with kernels, axes, stems, bracts and leaves explained 6.96%–10.56%, 7.19%–15.87%, 7.11%–10.19%, 7.16%–8.71% and 6.91%–9.17% of the phenotypic variation, respectively. Among the significant SNPs, nine co-localised with previously detected quantitative trait loci. This study will aid in the selection of Hg-accumulation inbred lines that satisfy the needs for pollution-safe cultivars and maintaining maize production.
format	article
author	Zhan Zhao Zhongjun Fu Yanan Lin Hao Chen Kun liu Xiaolong Xing Zonghua Liu Weihua Li Jihua Tang
author_facet	Zhan Zhao Zhongjun Fu Yanan Lin Hao Chen Kun liu Xiaolong Xing Zonghua Liu Weihua Li Jihua Tang
author_sort	Zhan Zhao
title	Genome-wide association analysis identifies loci governing mercury accumulation in maize
title_short	Genome-wide association analysis identifies loci governing mercury accumulation in maize
title_full	Genome-wide association analysis identifies loci governing mercury accumulation in maize
title_fullStr	Genome-wide association analysis identifies loci governing mercury accumulation in maize
title_full_unstemmed	Genome-wide association analysis identifies loci governing mercury accumulation in maize
title_sort	genome-wide association analysis identifies loci governing mercury accumulation in maize
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/213a846a5a874da48cee899d83c27efc
work_keys_str_mv	AT zhanzhao genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT zhongjunfu genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT yananlin genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT haochen genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT kunliu genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT xiaolongxing genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT zonghualiu genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT weihuali genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize AT jihuatang genomewideassociationanalysisidentifieslocigoverningmercuryaccumulationinmaize
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Genome-wide association analysis identifies loci governing mercury accumulation in maize

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