Fourier transform infrared spectroscopy enables rapid strain typing in M. pachydermatis

Simon Kurmann1, Marco A Coelho2, Márcia David-Palma2

  • 1Section of Immunology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.

Insights

Fourier transform infrared (FTIR) spectroscopy rapidly and accurately identifies Malassezia pachydermatis and its strains. This cost-effective method aids in understanding yeast epidemiology and managing associated diseases in animals and humans.

Area of Science:

  • Microbiology
  • Veterinary Dermatology
  • Spectroscopy

Background:

  • Malassezia pachydermatis is a common yeast on mammalian skin, often causing dermatitis and otitis in predisposed animals, especially atopic dogs.
  • This yeast exhibits significant genetic diversity, with strains forming distinct phylogroups that may influence pathogenicity and treatment response.
  • Accurate species and strain identification is crucial for epidemiological studies and effective disease management.

Purpose of the Study:

  • To establish Fourier transform infrared (FTIR) spectroscopy as a rapid, cost-effective method for identifying Malassezia species and strains.
  • To compare FTIR-based strain discrimination with established molecular typing methods like multilocus sequence typing (MLST) and whole-genome sequencing (WGS).
  • To assess the potential of FTIR spectroscopy combined with artificial neural networks for automated strain assignment.

Main Methods:

  • Fourier transform infrared (FTIR) spectroscopy was employed to analyze Malassezia species, including M. pachydermatis, M. globosa, M. furfur, M. restricta, and M. sympodialis.
  • FTIR spectral data of M. pachydermatis strains were analyzed and compared with phylogenetic data derived from MLST and WGS.
  • An artificial neural network classifier was integrated with FTIR spectroscopy to enhance strain discrimination capabilities.

Main Results:

  • FTIR spectroscopy successfully distinguished M. pachydermatis from other Malassezia species with high accuracy.
  • Within M. pachydermatis, FTIR resolved closely related strains, yielding clustering patterns consistent with MLST and WGS phylogenies.
  • The addition of an artificial neural network classifier improved the accuracy and automation of strain identification.

Conclusions:

  • FTIR spectroscopy offers a practical, rapid, and cost-effective tool for differentiating Malassezia species and resolving genetic diversity within M. pachydermatis.
  • This method has significant potential for large-scale epidemiological surveillance and clinical/veterinary diagnostics.
  • Strain-level identification using FTIR can inform targeted treatment strategies for Malassezia-associated diseases in both veterinary and human medicine.

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