非靶向代谢组学揭示粳稻和籼稻之间的代谢物的差异
种子代谢物在植物发育和人类营养中都是极为重要的；然而，它们的自然变异仍然保持一个很差的水平。这篇文献利用GC-GC-TOF-MS，UPLC-MS和GC-TOF-MS,大范围地测评成熟粳稻和籼稻的121种代谢物，揭示水稻代谢表型和地理起源的相关性。另外，粳米和籼米亚种不管是在代谢物相对丰度还是在代谢相关网络方面都有显著差异。这些发现为水稻亚种在代谢适应上提供了深刻见解，消除基因组和表型组之间的隔阂，并促进遗传控制的代谢特性的识别以至于可以实现以代谢工程为基础，进一步提高稻米品质。
这篇文章中使用的代谢组学技术谱领生物已开发成熟、完善，并对外提供服务，已为多位客户提供服务并获得好评。
文献内容
Title:Metabolic variation between japonica and indica rice cultivars as revealed by non-targeted metabolomics.
Author：Chaoyang Hu ，Jianxin Shi, Sheng Quan, Bo Cui, Sabrina Kleessen, Zoran Nikoloski,Takayuki Tohge, Danny Alexander, Lining Guo, Hong Lin, Jing Wang, Xiao Cui, Jun Rao, Qian Luo, Xiangxiang Zhao, Alisdair R. Fernie & Dabing Zhang.
Journal: Scientific Reports
Keywords: cancer、cancer diagnosis、diagnostic biomarkers、lipidomics、liquid chromatogr-aphy-mass spectrometry、NMR spectroscopy、prognostic biomarkers、untargeted metabolon-mics targeted metabolomics.
Abstract：
Seed metabolites are critically important both for plant development and human nutrition; however, the natural variation in their levels remains poorly characterized. Here we profiled 121 metabolites in mature seeds of a wide panel Oryza sativa japonica and indica cultivars, revealing correlations between the metabolic phenotype and geographic origin of the rice seeds. Moreover, japonica and indica subspecies differed significantly not only in the relative abundances of metabolites but also in their corresponding metabolic association networks. These findings provide important insights in o metabolic adaptation in rice subgroups, bridging the gap between genome and phenome, and facilitating the identification of genetic control of metabolic properties that can serve as a basis for the future improvement of rice quality via metabolic engineering.
