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利用水稻群体进行代谢组学的遗传分析。

Genetic analysis of the metabolome exemplified using a rice population.

机构信息

National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), College of Life Science and Technology, and Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan 430070, China.

出版信息

Proc Natl Acad Sci U S A. 2013 Dec 10;110(50):20320-5. doi: 10.1073/pnas.1319681110. Epub 2013 Nov 20.

DOI:10.1073/pnas.1319681110
PMID:24259710
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3864304/
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.

摘要

植物代谢物对植物的生命和人类的营养都至关重要。尽管代谢组学最近取得了进展,但植物代谢组的遗传控制在很大程度上仍然未知。在这里,我们对水稻代谢组进行了遗传分析,为 900 种代谢物提供了超过 2800 个高度解析的代谢数量性状位点。在两种不同的组织中观察到了代谢物的不同和重叠的积累模式,并揭示了复杂的代谢遗传调控。我们通过数据挖掘将 24 个候选基因与各种代谢数量性状位点相关联,包括调节重要形态特征和生物过程的基因。通过更新先前鉴定和新分配基因的体内功能,重建了相应的途径。这项研究展示了一种强大的工具,并提供了大量高质量的数据,有助于理解植物代谢组的可塑性,这可能有助于弥合基因组和表型之间的差距。

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本文引用的文献

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A novel integrated method for large-scale detection, identification, and quantification of widely targeted metabolites: application in the study of rice metabolomics.一种用于大规模检测、鉴定和定量广泛靶向代谢物的新型综合方法:在水稻代谢组学研究中的应用。
Mol Plant. 2013 Nov;6(6):1769-80. doi: 10.1093/mp/sst080. Epub 2013 May 23.
2
The rice R2R3-MYB transcription factor OsMYB55 is involved in the tolerance to high temperature and modulates amino acid metabolism.水稻 R2R3-MYB 转录因子 OsMYB55 参与高温耐受性,并调节氨基酸代谢。
PLoS One. 2012;7(12):e52030. doi: 10.1371/journal.pone.0052030. Epub 2012 Dec 14.
3
Genetic composition of yield heterosis in an elite rice hybrid.优良杂交稻杂种产量优势的遗传构成。
Proc Natl Acad Sci U S A. 2012 Sep 25;109(39):15847-52. doi: 10.1073/pnas.1214141109. Epub 2012 Sep 10.
4
Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.基于全基因组关联分析的玉米叶片代谢轮廓图谱解析复杂性状
Proc Natl Acad Sci U S A. 2012 Jun 5;109(23):8872-7. doi: 10.1073/pnas.1120813109. Epub 2012 May 21.
5
Metabolic profiling of a mapping population exposes new insights in the regulation of seed metabolism and seed, fruit, and plant relations.代谢图谱群体的代谢轮廓分析揭示了种子代谢以及种子、果实和植物关系调控的新见解。
PLoS Genet. 2012;8(3):e1002612. doi: 10.1371/journal.pgen.1002612. Epub 2012 Mar 29.
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