Green fluorescent protein (GFP) as a vital marker for pathogenic development of the dermatophyte Trichophyton

Gil Kaufman1,2, Benjamin A Horwitz2, Ruthi Hadar2

  • 1Department of Molecular Microbiology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 32000, Israel.

Insights

This study introduces a new method using green fluorescent protein (GFP) to visualize Trichophyton mentagrophytes during skin infections. This technique allows researchers to observe fungal growth and gene expression in real-time, advancing the study of dermatophyte pathogenicity.

Area of Science:

  • Mycology
  • Dermatology
  • Molecular Biology

Background:

  • Dermatophyte skin infections caused by Trichophyton are common.
  • Investigating the molecular mechanisms of fungal pathogenicity is challenging due to limited research methods.
  • Current methods like electron microscopy require tissue fixation, hindering dynamic observation.

Purpose of the Study:

  • To develop a novel method for studying the molecular basis of Trichophyton pathogenicity.
  • To enable real-time visualization of fungal growth and gene expression during skin infection.
  • To establish a vital marker for observing dermatophyte-host interactions.

Main Methods:

  • Utilized restriction-enzyme-mediated integration (REMI) for stable gene expression.
  • Introduced green fluorescent protein (GFP) under a constitutive fungal promoter in Trichophyton mentagrophytes.
  • Employed confocal microscopy to visualize fluorescent hyphae in culture and human skin explants.

Main Results:

  • Achieved stable expression of GFP in a clinical isolate of Trichophyton mentagrophytes.
  • Successfully visualized fluorescent fungal hyphae in both in vitro cultures and human skin models.
  • Observed and documented stages of infection and penetration into skin layers.

Conclusions:

  • REMI provides a robust method for generating genetically modified Trichophyton strains.
  • GFP serves as an effective vital marker for studying dermatophyte infections in real-time.
  • This approach offers unprecedented insights into fungal gene expression during host-pathogen interactions, advancing the understanding of skin infections.