Metabolic response of peanut (<i>Arachis hypogaea</i> L.) to <i>Sclerotium rolfsii</i> Sacc. in root exudates system

In the current study the metabolic response of peanut root exudates to <i>Sclerotium rolfsii Sacc</i>. infection was analyzed in plant-pathogen interaction systems. The analytical methodology employed in this study entailed the utilization of ultra-high-performance liquid chromatography coupled with tandem quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) in relation to metabolomics. The experimental findings have demonstrated that pathogen infection induces significant variations in both the composition and abundance of peanut root exudates. A total of 322 metabolites were identified in peanut root exudates, among which 19 metabolites showed significant differences under pathogen infection. The results of the orthogonal partial least squares score discriminant analysis (OPLS) and hierarchical cluster analysis (HCA) plots clearly demonstrated that the metabolic profiling effectively distinguished between peanut plants inoculated with <i>S. rolfsii Sacc</i>. and the healthy control plants that were not inoculated. Pathogen infection is associated with five metabolic pathways, the most correlated being arginine and proline metabolism and ABC transporters.本研究以植物-病原菌互作体系为研究对象，分析了花生根系分泌物针对齐整小核菌（Sclerotium rolfsii Sacc）侵染的代谢响应。本研究采用的分析方法为结合代谢组学的超高效液相色谱-串联四极杆飞行时间质谱（UHPLC-Q-TOF-MS）技术。实验结果表明，病原菌侵染会显著改变花生根系分泌物的组成与含量。本研究共在花生根系分泌物中鉴定出322种代谢物，其中19种代谢物在病原菌侵染条件下存在显著差异。正交偏最小二乘判别分析（OPLS）与层次聚类分析（HCA）的结果图清晰显示，代谢谱可有效区分接种齐整小核菌的花生植株与未接种的健康对照植株。病原菌侵染涉及5条代谢通路，其中相关性最高的为精氨酸与脯氨酸代谢以及ABC转运蛋白通路。