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Nat Commun. 2014 Mar 17;5:3438. doi: 10.1038/ncomms4438.

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

Author information

1
1] National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China [2].
2
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
3
Institute of Crop Science, CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

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.

PMID:
24633423
PMCID:
PMC3959190
DOI:
10.1038/ncomms4438
[Indexed for MEDLINE]
Free PMC Article
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