Fungal co-expression network analyses identify pathogen gene modules associated with host insect invasion

Area of Science:

• Mycology
• Insect Pathology
• Genomics

Background:

• Beauveria bassiana is a broad-host-range fungal insect pathogen used as a biopesticide.
• While its use is widespread, detailed genomic aspects of its virulence remain underexplored.
• Understanding host-pathogen interactions at a genomic level is crucial for optimizing biopesticide efficacy.

Purpose of the Study:

• To comprehensively analyze the genomic scale of Beauveria bassiana virulence.
• To identify gene expression patterns associated with critical infection stages.
• To provide a framework for understanding fungal adaptation and host-pathogen interactions.

Main Methods:

• Combined available transcriptomes with three new datasets for a total of 76 deep-sequenced samples.
• Performed co-expression network analyses on data covering growth, development, stress responses, and infection.
• Focused analysis on gene modules enriched during cuticle penetration and in vivo growth stages.

Main Results:

• Identified distinct gene modules for cuticle penetration and in vivo hyphal body growth.
• Revealed unique signatures in metabolism, signaling, secondary metabolite production, and host defense suppression for each stage.
• Discovered genetic regulators and epigenetic patterns associated with pathogenic adaptation.

Conclusions:

• The study provides a comprehensive genomic framework for Beauveria bassiana's pathogenic life cycle.
• Identified key molecular players in fungal cuticle penetration and immune evasion.
• Expands the repertoire of candidate genes for further study of insect-fungal pathogen interactions.