| Literature DB >> 24259710 |
Liang Gong1, Wei Chen, Yanqiang Gao, Xianqing Liu, Hongyan Zhang, Caiguo Xu, Sibin Yu, Qifa Zhang, Jie Luo.
Abstract
Plant metabolites are crucial for both plant life and human nutrition. Despite recent advance in metabolomics, the genetic control of plant metabolome remains largely unknown. Here, we performed a genetic analysis of the rice metabolome that provided over 2,800 highly resolved metabolic quantitative trait loci for 900 metabolites. Distinct and overlapping accumulation patterns of metabolites were observed and complex genetic regulation of metabolism was revealed in two different tissues. We associated 24 candidate genes to various metabolic quantitative trait loci by data mining, including ones regulating important morphological traits and biological processes. The corresponding pathways were reconstructed by updating in vivo functions of previously identified and newly assigned genes. This study demonstrated a powerful tool and provided a vast amount of high-quality data for understanding the plasticity of plant metabolome, which may help bridge the gap between the genome and phenome.Entities:
Keywords: Oryza sativa; gene function; metabolic profiling; recombinant inbred line
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Year: 2013 PMID: 24259710 PMCID: PMC3864304 DOI: 10.1073/pnas.1319681110
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205