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基于超高效液相色谱-四极杆飞行时间质谱的非靶向代谢组学在鉴定病原体感染水稻中诱导产生的代谢物中的应用

Application of UPLC-QTOF-MS Based Untargeted Metabolomics in Identification of Metabolites Induced in Pathogen-Infected Rice.

作者信息

Oh Mira, Park SeonJu, Kim Hun, Choi Gyung Ja, Kim Seung Hyun

机构信息

College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon 21983, Korea.

Chuncheon Center, Korea Basic Science Institute (KBSI), Chuncheon 24341, Korea.

出版信息

Plants (Basel). 2021 Jan 22;10(2):213. doi: 10.3390/plants10020213.

Abstract

Metabolomics is a useful tool for comparing metabolite changes in plants. Because of its high sensitivity, metabolomics combined with high-resolution mass spectrometry (HR-MS) is the most widely accepted metabolomics tools. In this study, we compared the metabolites of pathogen-infected rice () with control rice using an untargeted metabolomics approach. We profiled the mass features of two rice groups using a liquid chromatography quadrupole time-of-flight mass spectrometry (QTOF-MS) system. Twelve of the most differentially induced metabolites in infected rice were selected through multivariate data analysis and identified through a mass spectral database search. The role of these compounds in metabolic pathways was finally investigated using pathway analysis. Our study showed that the most frequently induced secondary metabolites are prostanoids, a subclass of eicosanoids, which are associated with plant defense metabolism against pathogen infection. Herein, we propose a new untargeted metabolomics approach for understanding plant defense system at the metabolic level.

摘要

代谢组学是比较植物中代谢物变化的一种有用工具。由于其高灵敏度,代谢组学与高分辨率质谱(HR-MS)相结合是最广泛接受的代谢组学工具。在本研究中,我们采用非靶向代谢组学方法比较了病原体感染水稻()与对照水稻的代谢物。我们使用液相色谱四极杆飞行时间质谱(QTOF-MS)系统对两个水稻组的质量特征进行了分析。通过多变量数据分析选择了感染水稻中12种差异诱导最显著的代谢物,并通过质谱数据库搜索进行了鉴定。最后使用通路分析研究了这些化合物在代谢途径中的作用。我们的研究表明,最常诱导的次生代谢物是前列腺素,它是类花生酸的一个亚类,与植物抵抗病原体感染的防御代谢有关。在此,我们提出了一种新的非靶向代谢组学方法,用于在代谢水平上理解植物防御系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b16/7910874/420dbb891f91/plants-10-00213-g001.jpg

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