非靶向代謝組學揭示粳稻和秈稻之間的代謝物的差異
種子代謝物在植物發育和人類營養中都是極為重要的；然而，它們的自然變異仍然保持一個很差的水平。這篇文獻利用GC-GC-TOF-MS，UPLC-MS和GC-TOF-MS,大范圍地測評成熟粳稻和秈稻的121種代謝物，揭示水稻代謝表型和地理起源的相關性。另外，粳米和秈米亞種不管是在代謝物相對豐度還是在代謝相關網絡方面都有顯著差異。這些發現為水稻亞種在代謝適應上提供了深刻見解，消除基因組和表型組之間的隔閡，并促進遺傳控制的代謝特性的識別以至于可以實現以代謝工程為基礎，進一步提高稻米品質。
這篇文章中使用的代謝組學技術譜領生物已開發成熟、完善，并對外提供服務，已為多位客戶提供服務并獲得好評。
文獻內容
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.
