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Genome-wide association analysis and QTL mapping reveal the genetic control of cadmium accumulation in maize leaf

Overview of attention for article published in BMC Genomics, January 2018
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Title
Genome-wide association analysis and QTL mapping reveal the genetic control of cadmium accumulation in maize leaf
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-017-4395-x
Pubmed ID
Authors

Xiongwei Zhao, Longxin Luo, Yanhua Cao, Yajuan Liu, Yuhua Li, Wenmei Wu, Yuzhou Lan, Yiwei Jiang, Shibin Gao, Zhiming Zhang, Yaou Shen, Guangtang Pan, Haijian Lin

Abstract

Accumulation of cadmium (Cd) in maize (Zea mays L.) poses a significant risk to human health as it is ingested via the food chain. A genome-wide association study (GWAS) was conducted in a population of 269 maize accessions with 43,737 single nucleotide polymorphisms (SNPs) to identify candidate genes and favorable alleles for controlling Cd accumulation in maize. When grown in contaminated soil, accessions varied significantly in leaf Cd concentration at both the seeding and maturing stages with phenotypic variation and the coefficient of variation all above 48%. The co-localized region between SYN27837 (147,034,650 bp) and SYN36598 (168,551,327 bp) on chromosome 2 was associated with leaf Cd under three soil conditions varying in Cd content in 2015 and 2016. The significant SNP (SYN25051) at position 161,275,547 could explained 27.1% of the phenotype variation. Through QTL mapping using the IBMSyn10 double haploid (DH) population, we validated the existence of a major QTL identified by GWAS; qLCd2 could explain the 39.8% average phenotype variation across the experiments. Expression of GRMZM2G175576 encoding a cadmium/zinc-transporting ATPase underlying the QTL was significantly increased in roots, stems and leaves of B73, a low Cd accumulation line in response to Cd stress. Our findings provide new insights into the genetic control of Cd accumulation and could aid rapid development of maize genotypes with low-Cd accumulation by manipulation of the favorable alleles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 11 14%
Student > Master 9 11%
Student > Doctoral Student 6 8%
Student > Bachelor 4 5%
Other 14 18%
Unknown 19 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 51%
Biochemistry, Genetics and Molecular Biology 8 10%
Unspecified 2 3%
Chemistry 2 3%
Environmental Science 1 1%
Other 2 3%
Unknown 24 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2018.
All research outputs
#17,927,741
of 23,018,998 outputs
Outputs from BMC Genomics
#7,614
of 10,697 outputs
Outputs of similar age
#310,147
of 441,127 outputs
Outputs of similar age from BMC Genomics
#147
of 204 outputs
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