Show simple item record

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
URI: https://hdl.handle.net/10883/19739
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.
Language: English
Publisher: Nature Research
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Areas of Knowledge: AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Type: Article
Place: United Kingdom
Journal: Nature Communications
Volume: 5
DOI: 10.1038/ncomms4438
Keywords: Genetic
Keywords: Identified Loci
Keywords: QTLs
Audience: Researchers
Agrovoc: METABOLITES
Agrovoc: GENETIC MAPS
Agrovoc: ALLELES
Agrovoc: QUANTITATIVE TRAIT LOCI
Access Level: Open Access
Related Datasets: https://www.nature.com/articles/ncomms4438#Sec24


Files in this item

Thumbnail

This item appears in the following Collection(s)

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

Show simple item record