College of Forestry, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China.
Phytochemistry. 2019 Nov;167:112087. doi: 10.1016/j.phytochem.2019.112087. Epub 2019 Aug 19.
Bambusa pervariabilis × Dendrocalamopsis grandis blight, caused by Arthrinium phaeospermum, is one of the most common and serious diseases in bamboo and occurs in the newly born twigs. Bamboo has suffered large dead areas, including more than 3000 hm, which greatly threatens the process of returning farmlands to forests and the construction of ecological barriers. To identify differential metabolites and metabolic pathways associated with B. pervariabilis × D. grandis to A. phaeospermum, ultra-performance liquid chromatography (UPLC) and quadrupole-time of flight (Q-TOF) Mass Spectrometry (MS) combined with a data-dependent acquisition method was used to analyse the entire sample spectrum. In total, 13223 positive ion peaks and 10616 negative ion peaks were extracted. OPLS-DA and several other analyses were performed using the original data. The OPLS-DA models showed good quality and had strong predictive power, indicating clear trends in the analyses of the treatment and control groups. Clustering and KEGG pathway analyses were used to screen the differential metabolites in the treatment and control groups from the three B. pervariabilis × D. grandis varieties and reflected their metabolic responses induced by A. phaeospermum infection. The results showed that the three B. pervariabilis × D. grandis varieties mode showed significant changes in the following six resistance-related metabolites after A. phaeospermum invasion in positive and negative ion modes: proline, glutamine, dictamnine, apigenin 7-O-neohesperidoside, glutamate, and cis-Aconitate. The following four main metabolic pathways are involved: Arginine and proline metabolism, Glyoxylate and dicarboxylate metabolism, Biosynthesis of alkaloids derived from shikimate pathway, and Flavone and flavonol biosynthesis. This study lays a foundation for the later detection of differential metabolites and metabolic pathways for targeting, and provides a theoretical basis for disease-resistant breeding and the control of B. pervariabilis × D. grandis blight.
丛生竹球腔菌和麻竹球腔菌枯萎病由球腔菌属（Arthrinium）的胶孢炭疽菌引起，是丛生竹和麻竹上最常见和最严重的病害之一，主要危害新梢。病害发生后，竹林出现大量枯死，面积达 3000 多公顷，严重威胁退耕还林和生态屏障建设。为了鉴定与胶孢炭疽菌引起的丛生竹球腔菌和麻竹球腔菌枯萎病相关的差异代谢物和代谢途径，采用超高效液相色谱（UPLC）-四极杆飞行时间（Q-TOF）质谱（MS）联用数据依赖采集法对整个样品谱进行分析。共提取到 13223 个正离子峰和 10616 个负离子峰。采用原始数据进行 OPLS-DA 及其他几种分析。OPLS-DA 模型显示出良好的质量和较强的预测能力，表明处理组和对照组的分析趋势明显。聚类和 KEGG 途径分析用于筛选三种丛生竹球腔菌和麻竹球腔菌品种中处理组和对照组的差异代谢物，并反映它们对胶孢炭疽菌感染的代谢反应。结果表明，在正、负离子模式下，三种丛生竹球腔菌和麻竹球腔菌品种模式在胶孢炭疽菌入侵后，以下 6 种与抗性相关的代谢物发生显著变化：脯氨酸、谷氨酰胺、白鲜碱、芹菜素 7-O-新橙皮糖苷、谷氨酸和顺乌头酸。涉及以下 4 个主要代谢途径：精氨酸和脯氨酸代谢、乙醛酸和二羧酸代谢、莽草酸途径衍生生物碱的生物合成和黄酮和黄酮醇生物合成。本研究为后续针对目标差异代谢物和代谢途径的检测奠定了基础，为丛生竹球腔菌和麻竹球腔菌枯萎病的抗病育种和防治提供了理论依据。
