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Production and Quantification of Virulence Factors in Malassezia Species Cover

Production and Quantification of Virulence Factors in Malassezia Species

Open Access
|Dec 2022

Abstract

Seventy-seven strains of Malassezia were included in this study. Biofilm and hydrolytic enzyme production were studied by using specific solid media. The Real-Time reverse transcriptase qPCR method was applied to determine the overexpression of genes encoding the extracellular enzymes. All included Malassezia species produced biofilms. No statistically significant difference was observed between Malassezia species in biofilm formation (p = 0.567). All Malassezia species produced lipase, and 95% of Malassezia globosa showed a strong enzymatic activity (Pz = 0.55 ± 0.02). A statistically significant difference was observed between the mean keratinase indices of Malassezia slooffiae and the other Malassezia species (p = 0.005). The overexpression of one or more genes was observed in 100% of strains isolated from patients with folliculitis, 87.5% – with pityriasis versicolor, and 57.14% of the control group isolates. A statistically significant difference in the lipase gene expression (p = 0.042) was between the strains from patients with folliculitis and the control group. This investigation provides more information about the frequency of the production of the major enzymes considered virulence factors of Malassezia species. Interestingly, the overexpression of one or more genes was observed in strains isolated from patients with Malassezia disorders.

DOI: https://doi.org/10.33073/pjm-2022-047 | Journal eISSN: 2544-4646 | Journal ISSN: 1733-1331
Language: English
Page range: 529 - 538
Submitted on: Jul 12, 2022
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Accepted on: Sep 20, 2022
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Published on: Dec 6, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Inès Hadrich, Nahed Khemekhem, Sourour Neji, Houaida Trablesi, Amin Ilahi, Hayet Sellami, Fattouma Makni, Ali Ayadi, published by Polish Society of Microbiologists
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.