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Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights

Author: Weiwei Wen
Author: Dong Li
Author: Xiang Li
Author: Yanqiang Gao
Author: Wenqiang Li
Author: Huihui Li
Author: Jie Liu
Author: Haijun Liu
Author: Wei Chen
Author: Jie Liu
Author: Yan, Jianbing
Year: 2014
ISSN: 2041-1723
Abstract: Plants produce a variety of metabolites that have a critical role in growth and development. Here we present a comprehensive study of maize metabolism, combining genetic, metabolite and expression profiling methodologies to dissect the genetic basis of metabolic diversity in maize kernels. We quantify 983 metabolite features in 702 maize genotypes planted at multiple locations. We identify 1,459 significant locus–trait associations (P≤1.8 × 10−6) across three environments through metabolite-based genome-wide association mapping. Most (58.5%) of the identified loci are supported by expression QTLs, and some (14.7%) are validated through linkage mapping. Re-sequencing and candidate gene association analysis identifies potential causal variants for five candidate genes involved in metabolic traits. Two of these genes were further validated by mutant and transgenic analysis. Metabolite features associated with kernel weight could be used as biomarkers to facilitate genetic improvement of maize.
Format: PDF
Language: English
Publisher: Nature Research
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Type: Article
Place of Publication: United Kingdom
Volume: 5
DOI: 10.1038/ncomms4438
Keywords: Genetic
Keywords: Identified Loci
Keywords: QTLs
Agrovoc: ALLELES
Related Datasets:
Journal: Nature Communications

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    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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