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

被引：19

作者：

Oh, Mira ^{[1
]}

Park, SeonJu ^{[2
]}

Kim, Hun ^{[3
]}

Choi, Gyung Ja ^{[3
]}

Kim, Seung Hyun ^{[1
]}

机构：

[1] Yonsei Univ, Coll Pharm, Yonsei Inst Pharmaceut Sci, Incheon 21983, South Korea

[2] Korea Basic Sci Inst KBSI, Chuncheon Ctr, Chunchon 24341, South Korea

[3] Korea Res Inst Chem Technol, Ctr Ecofriendly New Mat, Daejeon 34114, South Korea

来源：

PLANTS-BASEL | 2021年 / 10卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

LC-MS; plant-pathogen interaction; metabolic change; pathway analysis; principal component analysis (PCA);

D O I：

10.3390/plants10020213

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

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 (Oryza sativa) 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.

引用

页码：1 / 13

页数：13

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[21] Activity against plant pathogenic fungi of phomalactone isolated from Nigrospora sphaerica [J].