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Combined Linkage and Association Mapping Reveals QTL and Candidate Genes for Plant and Ear Height in Maize

Overview of attention for article published in Frontiers in Plant Science, June 2016
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Title
Combined Linkage and Association Mapping Reveals QTL and Candidate Genes for Plant and Ear Height in Maize
Published in
Frontiers in Plant Science, June 2016
DOI 10.3389/fpls.2016.00833
Pubmed ID
Authors

Xiaopeng Li, Zijian Zhou, Junqiang Ding, Yabin Wu, Bo Zhou, Ruixia Wang, Jinliang Ma, Shiwei Wang, Xuecai Zhang, Zongliang Xia, Jiafa Chen, Jianyu Wu

Abstract

Plant height (PH) and ear height (EH) are two very important agronomic traits related to the population density and lodging in maize. In order to better understand of the genetic basis of nature variation in PH and EH, two bi-parental populations and one genome-wide association study (GWAS) population were used to map quantitative trait loci (QTL) for both traits. Phenotypic data analysis revealed a wide normal distribution and high heritability for PH and EH in the three populations, which indicated that maize height is a highly polygenic trait. A total of 21 QTL for PH and EH in three common genomic regions (bin 1.05, 5.04/05, and 6.04/05) were identified by QTL mapping in the two bi-parental populations under multiple environments. Additionally, 41 single nucleotide polymorphisms (SNPs) were identified for PH and EH by GWAS, of which 29 SNPs were located in 19 unique candidate gene regions. Most of the candidate genes were related to plant growth and development. One QTL on Chromosome 1 was further verified in a near-isogenic line (NIL) population, and GWAS identified a C2H2 zinc finger family protein that maybe the candidate gene for this QTL. These results revealed that nature variation of PH and EH are strongly controlled by multiple genes with low effect and facilitated a better understanding of the underlying mechanism of height in maize.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Mexico 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 21%
Student > Ph. D. Student 13 15%
Student > Master 12 14%
Student > Doctoral Student 8 9%
Student > Postgraduate 7 8%
Other 14 16%
Unknown 15 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 68%
Biochemistry, Genetics and Molecular Biology 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Unspecified 1 1%
Chemical Engineering 1 1%
Other 4 5%
Unknown 15 17%
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 July 2016.
All research outputs
#18,463,662
of 22,877,793 outputs
Outputs from Frontiers in Plant Science
#13,814
of 20,269 outputs
Outputs of similar age
#266,958
of 352,336 outputs
Outputs of similar age from Frontiers in Plant Science
#313
of 532 outputs
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