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Updated: Jan 16, 2026

Detection of Alternative Splicing During Epithelial-Mesenchymal Transition
Published on: October 9, 2014
Alternative splicing is a driving force that tunes metabolic adaptations to virulence traits in the dermatophyte
Marcos E Ramos Lopes1, João Neves-da-Rocha1, Pablo R Sanches1
1Department of Genetics, Ribeirão Preto Medical School, University of Sao Paulo, USP, Ribeirão Preto, SP, Brazil.
Introduction:
Alternative splicing (AS), a common process in pathogenic fungal species, is not fully understood. We hypothesized that AS is a critical regulatory mechanism that enables species to undergo continuous adaptations during interactions with challenging host environments.
Methods:
We utilized the model species Trichophyton rubrum to contextualize the role of AS in fungal physiology and virulence. We performed transcriptome-wide splicing analysis to search for AS events in RNA-sequencing data of T. rubrum grown in keratin. This scenario mimicked infection in vitro and allowed us to map biologically relevant splicing events.
Results And Discussion:
Overall, the results showed that AS is recruited to regulate approximately 12.6% of the T. rubrum genome under an infection-like scenario. We extended this analysis to ex vivo infection models of T. rubrum grown on human nails and cocultured them with human HaCaT keratinocytes. We found that AS affects a wide range of cellular processes, including amino acid and carbohydrate metabolism, cell signaling, protein folding and transport, transcription, and translation. We showed that transcription factors such as PacC and Ap1 govern the major features of fungal virulence and metabolism and are controlled by the spliceosome machinery under different infection-like conditions.
Conclusions:
Our data indicate that mRNA isoforms originating from AS contribute to the adaptation of T. rubrum, demonstrating that AS of transcription factor genes plays a central role in fungal pathogenesis. The transcription and splicing machinery tune fungal physiology to achieve an optimal metabolic balance in virulence traits during infection.
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