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.

中文翻译：

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基于UPLC-QTOF-MS的非靶向代谢组学在病原感染水稻诱导代谢物鉴定中的应用

代谢组学是比较植物代谢物变化的有用工具。由于其高灵敏度，代谢组学与高分辨率质谱法（HR-MS）相结合是最广泛接受的代谢组学工具。在这项研究中，我们比较了被病原体感染的水稻（水稻）与对照大米一起使用非靶向代谢组学方法。我们使用液相色谱四极杆飞行时间质谱（QTOF-MS）系统分析了两个稻米组的质量特征。通过多变量数据分析选择了感染水稻中诱导差异最大的十二种代谢物，并通过质谱数据库搜索进行了鉴定。最后使用途径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，最常诱导的次级代谢产物是类前列腺素类的类前列腺素，与植物防御代谢物抵抗病原体感染有关。本文中，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。