Abstract An approach to metabolomics profiling of non-infected and Ganoderma boninense (G. boninsense) infected oil palm roots crude extracts that utilize gas chromatography-mass spectrometry (GC–MS) and multivariate statistics of principal component analysis (PCA) have been tested. This combination has provided a rapid approach in investigating the changes in the metabolite variations of non-infected and infected oil palm roots at 14 and 30 days post-infection. The extracts were prepared by using 80% (v/v) of methanol. In identifying the metabolites responsible for each differentiation, PCA model was generated in loading bi-plot. Dimethyl benzene-1,4-dicarboxylate, methyl 3-(3,5-ditert-butyl-4-hydroxyphenyl)propanoate, ergost-5-en-3-ol, (3β), stigmast-5-en-3-ol, (3β), stigmasterol, methyl hexadecanoate, methyl (9Z,12Z)-octadeca-9,12-dienoate, methyl octadecanoate, 2-(hydroxymethyl)-2-nitropropane-1,3-diol, methyl (Z)-octadec-6-enoate and (E)-icos-5-ene were found more abundant in G. boninense infected roots than in non-infected roots. Steroidal compounds and fatty acid derivatives which has been determined in the non-infected and G. boninense infected roots regulate a variety of responses to the G. boninense. The abundant of these metabolites in G. boninense infected roots are due to the crucial roles in pathogen defence.

中文翻译：

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使用基于 GC-MS 的代谢组学鉴定感染了灵芝的油棕根的代谢物

摘要 一种利用气相色谱-质谱法 (GC-MS) 和主成分分析 (PCA) 的多变量统计数据对未感染和灵芝 (G. boninsense) 感染的油棕根粗提物进行代谢组学分析的方法进行了测试。这种组合为研究感染后 14 天和 30 天未感染和感染油棕根的代谢物变化变化提供了一种快速方法。通过使用 80% (v/v) 的甲醇制备提取物。在确定负责每个分化的代谢物时，在加载双图时生成 PCA 模型。苯-1,4-二甲酸二甲酯、3-(3,5-二叔丁基-4-羟基苯基)丙酸甲酯、麦角醇-5-烯-3-醇、(3β)、stigmast-5-en-3-醇, (3β), 豆甾醇, 十六酸甲酯, (9Z,12Z)-octadeca-9,12-dienoate, 发现十八酸甲酯、2-(羟甲基)-2-硝基丙烷-1,3-二醇、(Z)-octadec-6-enoate 和 (E)-icos-5-ene 在 G. boninense 感染的根中含量高于在未感染的根中。已在未感染和 G. boninense 感染的根中测定的甾体化合物和脂肪酸衍生物调节对 G. boninense 的各种反应。G. boninense 感染根中这些代谢物的丰富是由于在病原体防御中的关键作用。