Basal stem rot (BSR) disease caused by Ganoderma boninense has remained as one of the major obstacles in oil palm (Elaeis guineensis Jacq.) plantation. BSR is a destructive disease, which contributes to significant yield losses and impacts to the oil palm industry. However, to date, there is still no effective control of the disease. Metabolite fingerprinting is an established non-targeted screening approach to classify samples based on metabolite patterns that change in response to G. boninense infection in oil palm. This study aimed to compare the metabolic profiles of natural Ganoderma-infected and healthy control oil palm root samples using liquid chromatography-quadrupole/time-of-flight-mass spectrometry (LC-Q/TOF-MS) combined with multivariate data analysis (MVDA) and to identify potential metabolic pathway(s) involved in response to BSR. MVDA revealed differential metabolites from oil palm root associated with natural Ganoderma-infected vs. healthy oil palms. A systematic metabolic pathway analysis of differential metabolites discovered the significant involvement of amino acid metabolism, carbohydrate metabolism and biosynthesis of other secondary metabolites in response to BSR disease. Unravelling the metabolic mechanisms involved during pathogen attack provides new knowledge and fill gaps in the information related to the oil palm-Ganoderma pathosystem.

由灵芝boninense引起的基础茎腐病（BSR）仍然是油棕（Elaeis guineensis Jacq。）人工林的主要障碍之一。BSR是一种破坏性疾病，导致大量的产量损失并对油棕行业造成影响。但是，迄今为止，仍然没有有效控制该疾病的方法。代谢物指纹图谱是一种已建立的非针对性的筛选方法，可根据油棕中博尼氏菌感染而变化的代谢物模式对样品进行分类。这项研究旨在比较天然灵芝的代谢特征液相色谱-四极杆/飞行时间质谱（LC-Q / TOF-MS）和多变量数据分析（MVDA）结合并感染的健康对照油棕根样品，并确定潜在的代谢途径回应BSR。MVDA揭示了与天然灵芝感染的油棕与健康的油棕有关的油棕根的代谢产物。对差异代谢产物的系统代谢途径分析发现，氨基酸代谢，碳水化合物代谢和其他次生代谢产物的生物合成均对BSR疾病有重要影响。阐明病原体攻击过程中涉及的代谢机制，提供了新的知识并填补了与油棕有关的信息中的空白-灵芝 病理系统。