山茶
代谢组学
色谱法
化学
质谱法
山茶花
液相色谱-质谱法
山茶科
分辨率(逻辑)
生物
植物
计算机科学
人工智能
作者
Weidong Dai,Junfeng Tan,Meiling Lü,Dongchao Xie,Pengliang Li,Haipeng Lv,Yin Zhu,Li Guo,Yue Zhang,Qunhua Peng,Zhi Lin
标识
DOI:10.1021/acs.jafc.6b02411
摘要
Glycosylation on small molecular metabolites modulates a series of biological events in plants. However, a large number of glycosides have not been discovered and investigated using -omics approaches. Here, a general strategy named "nontargeted modification-specific metabolomics" was applied to map the glycosylation of metabolites. The key aspect of this method is to adopt in-source collision-induced dissociation to dissociate the glycosylated metabolite, causing a characteristic neutral loss pattern, which acts as an indicator for the glycosylation identification. In an exemplary application in green teas, 120 glucosylated/galactosylated, 38 rhamnosylated, 21 rutinosylated, and 23 primeverosylated metabolites were detected simultaneously. Among them, 61 glycosylated metabolites were putatively identified according to current tea metabolite databases. Thanks to the annotations of glycosyl moieties in advance, the method aids metabolite identifications. An additional 40 novel glycosylated metabolites were tentatively elucidated. This work provides a feasible strategy to discover and identify novel glycosylated metabolites in plants.
科研通智能强力驱动
Strongly Powered by AbleSci AI