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Published on: January 21, 2015
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.
Abstract:
Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many mammals. It normally maintains a commensal lifestyle, but can cause dermatitis and otitis in predisposed hosts, particularly in atopic dogs. M. pachydermatis is genetically diverse, with strains clustering into at least three phylogroups based on molecular typing, a pattern we now confirm through whole-genome sequencing (WGS). Accurate species and strain-level identification is essential for understanding its epidemiology, pathogenic potential, and response to treatment. In this study, we established Fourier transform infrared (FTIR) spectroscopy as a rapid, cost-effective method for distinguishing M. pachydermatis from other Malassezia species, including M. globosa, M. furfur, M. restricta, and M. sympodialis. Within M. pachydermatis, FTIR spectroscopy resolved even closely related strains with high accuracy, producing clusters congruent with multilocus sequence typing (MLST)- and WGS-based phylogeny. The incorporation of an artificial neural network classifier further enhanced the discriminatory power, enabling robust and automated strain assignment. These findings demonstrate the potential of FTIR spectroscopy as a practical tool for large-scale epidemiological surveillance of M. pachydermatis and for clinical and veterinary applications where strain-level identification could inform treatment and management of Malassezia-associated diseases.IMPORTANCEMalassezia pachydermatis is a yeast that commonly inhabits the skin and ear canals of mammals but can cause dermatitis and otitis in predisposed hosts, especially dogs with allergies or immunosuppression. This species displays substantial genetic diversity, with strains falling into distinct phylogroups that may differ in their biology and clinical significance. Determining these differences has typically required advanced molecular or genomic methods, which can be costly and time-consuming. In this study, we demonstrate that Fourier transform infrared spectroscopy can rapidly and accurately distinguish M. pachydermatis from other Malassezia species and resolve genetic groups within the species in a way that reflects whole-genome relationships. This capability offers a practical tool for investigating the epidemiology and inter-/intraspecies diversity of M. pachydermatis and for guiding targeted management of Malassezia-associated diseases in both veterinary and, potentially, human medicine.
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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