The Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich NR4 7UH, UK.
Plant Cell. 2023 Apr 20;35(5):1360-1385. doi: 10.1093/plcell/koad036.
The rice blast fungus Magnaporthe oryzae causes a devastating disease that threatens global rice (Oryza sativa) production. Despite intense study, the biology of plant tissue invasion during blast disease remains poorly understood. Here we report a high-resolution transcriptional profiling study of the entire plant-associated development of the blast fungus. Our analysis revealed major temporal changes in fungal gene expression during plant infection. Pathogen gene expression could be classified into 10 modules of temporally co-expressed genes, providing evidence for the induction of pronounced shifts in primary and secondary metabolism, cell signaling, and transcriptional regulation. A set of 863 genes encoding secreted proteins are differentially expressed at specific stages of infection, and 546 genes named MEP (Magnaportheeffector protein) genes were predicted to encode effectors. Computational prediction of structurally related MEPs, including the MAX effector family, revealed their temporal co-regulation in the same co-expression modules. We characterized 32 MEP genes and demonstrate that Mep effectors are predominantly targeted to the cytoplasm of rice cells via the biotrophic interfacial complex and use a common unconventional secretory pathway. Taken together, our study reveals major changes in gene expression associated with blast disease and identifies a diverse repertoire of effectors critical for successful infection.
稻瘟病菌(Magnaporthe oryzae)会引发一种破坏性疾病,威胁全球水稻(Oryza sativa)生产。尽管进行了深入研究,但人们对稻瘟病过程中植物组织侵染的生物学仍知之甚少。在此,我们报告了一项关于稻瘟病菌与植物完全相关的发展的高分辨率转录谱研究。我们的分析揭示了真菌在植物感染过程中基因表达的主要时间变化。病原体的基因表达可以分为 10 个时间上共同表达基因的模块,为初级和次级代谢、细胞信号转导和转录调控的明显变化提供了证据。一组 863 个编码分泌蛋白的基因在感染的特定阶段差异表达,并且预测 546 个名为 MEP(Magnaporthe effector protein)的基因编码效应子。对结构上相关的 MEPs(包括 MAX 效应家族)进行计算预测,揭示了它们在相同共表达模块中的时间协同调控。我们对 32 个 MEP 基因进行了表征,并证明 Mep 效应子主要通过生物亲和界面复合物靶向水稻细胞的细胞质,并且使用共同的非常规分泌途径。总之,我们的研究揭示了与稻瘟病相关的主要基因表达变化,并确定了一组多样化的效应子,这些效应子对于成功感染至关重要。