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用于水稻研究的综合代谢组学和植物化学基因组学方法。

Integrated metabolomics and phytochemical genomics approaches for studies on rice.

作者信息

Okazaki Yozo, Saito Kazuki

机构信息

RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045 Japan ; Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813 Japan.

RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045 Japan ; Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675 Japan.

出版信息

Gigascience. 2016 Mar 2;5:11. doi: 10.1186/s13742-016-0116-7. eCollection 2016.

Abstract

Metabolomics is widely employed to monitor the cellular metabolic state and assess the quality of plant-derived foodstuffs because it can be used to manage datasets that include a wide range of metabolites in their analytical samples. In this review, we discuss metabolomics research on rice in order to elucidate the overall regulation of the metabolism as it is related to the growth and mechanisms of adaptation to genetic modifications and environmental stresses such as fungal infections, submergence, and oxidative stress. We also focus on phytochemical genomics studies based on a combination of metabolomics and quantitative trait locus (QTL) mapping techniques. In addition to starch, rice produces many metabolites that also serve as nutrients for human consumers. The outcomes of recent phytochemical genomics studies of diverse natural rice resources suggest there is potential for using further effective breeding strategies to improve the quality of ingredients in rice grains.

摘要

代谢组学被广泛用于监测细胞代谢状态和评估植物源食品的质量,因为它可用于处理分析样本中包含多种代谢物的数据集。在本综述中,我们讨论了水稻的代谢组学研究,以阐明与生长以及对基因修饰和真菌感染、淹水和氧化应激等环境胁迫的适应机制相关的代谢总体调控。我们还关注基于代谢组学和数量性状位点(QTL)定位技术相结合的植物化学基因组学研究。除了淀粉,水稻还产生许多对人类消费者也有营养作用的代谢物。近期对多种天然水稻资源进行的植物化学基因组学研究结果表明,利用进一步有效的育种策略来提高稻米成分质量具有潜力。

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