bioRxivGeneticsPreprint
A BRCT Domain-Containing Protein Induced in Early Phagocytosis Plays a Crucial Role in Mucorales Pathogenesis
Ghizlane TahiriiD, Carlos LaxiD, Ulrike BinderiD, Jakob Scheler, Eusebio NavarroiD, Francisco Esteban NicolásiD, Victoriano GarreiD
Abstract
Mucormycosis, caused by Mucoralean fungi, is among the most lethal fungal diseases, and a deeper understanding of its pathogenesis is urgently needed. Transcriptomic profiling of virulent (WT) and an RNAi-deficient strain (r3b2{Delta}) of M. lusitanicus strains during phagocytosis uncovered thousands of differentially expressed genes (DEGs), highlighting early metabolic activation as a key survival strategy inside the phagosome. Enriched pathways included amino acid transport, nucleotide metabolism, and translation, reflecting an adaptive fungal response to nutrient deprivation and host immune stress. Integrative analyses of mRNA and sRNA profiles also revealed a critical role of the RNAi pathways in modulating gene expression during infection.Building on these observations, we identified four chromatin- and transcription-related candidate virulence genes--brca1, box, hist1, and hda10--which were strongly upregulated during phagocytosis and regulated by RNAi. Functional validation through gene deletion in M. lusitanicus and disruption in R. microsporus revealed that while loss of these genes in M. lusitanicus did not significantly affect virulence, R. microsporus mutants for brca1, hist1, and hda10 showed attenuated virulence in a murine model. Our findings suggest that although M. lusitanicus remains a valuable tool for genetic manipulation, species-specific differences must be considered when studying virulence. The study also underscores the importance of using multiple Mucorales models to uncover conserved and divergent strategies employed by pathogenic fungi. These insights contribute to a broader understanding of fungal adaptation, immune evasion, and the identification of novel targets for antifungal intervention.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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