基于GC-MS代谢组学的铁皮石斛与胶孢炭疽菌互作机制研究

目的利用代谢组学技术探讨与铁皮石斛炭疽病病程相关的代谢物及其可能的作用机制,为铁皮石斛抗病品种选育提供依据。方法分别采集铁皮石斛正常叶片与经胶孢炭疽菌处理的感病叶片,经样本前处理、GC-MS分析、生物信息学分析等找出差异代谢物,初步探讨参与病程的差异代谢物并分析代谢通路。结果成功建立了各分析组的多维统计分析模型,选取VIP1.0的分散点为潜在差异物质,同时结合单维统计分析(test)中P0.05为标准加以验证,从鉴定出的305个代谢物中共筛选出84个差异代谢产物,被认为是病程相关代谢物;通过对差异代谢物进行通路富集分析,共有34个差异代谢物参与了代谢途径,且获得的正常-感病代谢通路具有显著意义。结论基于GC-MS技术对铁皮石斛不同处理组(正常/感病)样本进行了代谢组学分析,并找出与铁皮石斛炭疽病病程相关的代谢物,可为从分子水平研究铁皮石斛病害及培育抗病品种奠定基础。

Metabonomics study of interaction mechanism between Dendrobium officinale and Colletotrichum gloeosporioides based on GC-MS

Objective To investigate the metabolites related to the course of anthracnosis of Dendrobium officinale and its possible mechanism based on the technique of metabonomics, so as to provide theoretical support for the creation or breeding of disease resistant varieties of D. officinale. Methods The normal and infected by Colletotrichum gloeosporioides leaves of D. officinale were collected respectively, and to find out the differential metabolites through the sample pretreatment, GC-MS analysis, and bioinformatics analysis. Then the differential metabolites and analysis of metabolic pathways involved in the course of disease were carried on the preliminary discussion. Results The multidimensional statistical models of each analysis group were successfully established. The dispersion points of VIP > 1.0 were selected as the potential differential materials, combined with P < 0.05 in the analysis of single dimensional Statistics (test) as the standard to verify. A total of 84 differential metabolites screened from 305 identified metabolites were considered to be pathogenesis related metabolites. A total of 34 differential metabolites were found out to be involved in the metabolic pathways through the pathway enrichment analysis, and the obtained ZC-GB metabolic pathways were of significance. Conclusion Based on GC-MS technology, the metabolomics analysis of D. officinale samples (normal/infected) was carried out and the metabolites related to the course of anthracnosis of D. officinale were found out. It could lay the foundation for studying the disease of D. officinale and cultivating resistant varieties on molecular level.