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Transcriptome analysis of entomopathogenic fungus Beauveria bassiana-infected bean bug (Riptortus pedestris) to identify possible fungal virulence factors
- 언어ENG
- URLhttps://db.koreascholar.com/Article/Detail/307031
The ascomycete fungus Beauveria bassiana is a wide host range entomo- pathogenic fungus, which is commonly used as an environmental friendly biopesticide. However, the molecular mechanisms of host-pathogen interaction of B. bassiana are not well understood. Here, the high throughput next generation sequencing was performed to analyze the transcriptome of B. bassiana JEF-007 infected bean bug (Riptorus pedestris). Differentially expressed gene (DEG) analysis results showed that total 4,684 genes including 2,381 up and 2,303 down regulated genes were identified. Most of the DEGs were classified into single- organism, cellular and metabolism processes by gene ontology (GO) analysis. Metabolism pathway was the most abound category of DEGs via KEGG pathway mapping. Several possible candidates of virulence factors were dramatically expressed after infection, such as cytotoxic lectin, bacterial-like toxin, and proteins related to cell wall, hyphal growth, nutrient uptake and halogenated compounds synthesis. Furthermore, we also found the highest expression of a novel small RNA virus in the infected bean bug, but the relationship between fungal virulence and the RNA virus was under determination. The functional roles of these possible virulence factors are remained unclear, but this work provides a new insight for further fungal studies. Our results reflect systemic impacts of fungal pathogenesis and these findings represent a significant advance in the fungal functional genomics.
