The transcriptional landscape of plant infection by the rice blast fungus Magnaporthe oryzae reveals distinct families of temporally co-regulated and structurally conserved effectors.
Xia YanBozeng TangLauren S RyderDaniel MacLeanVincent M WereAlice Bisola EseolaNeftaly Cruz-MirelesWeibin MaAndrew J FosterMiriam Osés-RuizNicholas J TalbotPublished in: The Plant cell (2023)
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 signalling and transcriptional regulation. A set of 863 genes encoding secreted proteins are differentially expressed at specific stages of infection, and 546 genes named MEP (Magnaporthe effector 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 characterised 32 MEP genes and demonstrate that Mep effectors are predominantly targeted to the cytoplasm of rice cells via the biotrophic interfacial complex (BIC) 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.
Keyphrases
- gene expression
- genome wide
- dna methylation
- single cell
- high resolution
- transcription factor
- type iii
- bioinformatics analysis
- genome wide identification
- poor prognosis
- regulatory t cells
- mass spectrometry
- dendritic cells
- oxidative stress
- small molecule
- genome wide analysis
- ionic liquid
- cancer therapy
- mesenchymal stem cells
- amino acid
- molecular dynamics simulations
- induced apoptosis
- cell death
- endoplasmic reticulum stress
- binding protein