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ITS-RFLP optimization for dermatophyte identification from clinical sources in Alagoas (Brazil) versus phenotypic
Luisa Andrea Villanueva da Fonseca1, Maria Anilda Santos Araújo2, Denise Maria Wanderlei Silva3
1Microbiology Postgraduate Program, University of São Paulo, São Paulo, Brazil.
Journal of Infection in Developing Countries
|November 30, 2022
Summary
Molecular methods like ITS-RFLP offer faster identification of dermatophytes causing superficial mycoses. This study identified key fungal species, though challenges remain with closely related cryptic species.
Area of Science:
- Medical Mycology
- Molecular Biology
- Clinical Diagnostics
Background:
- Dermatophytoses are superficial fungal infections requiring accurate etiological agent identification.
- Traditional identification methods (culture, microscopy) are slow and expertise-dependent.
- Molecular techniques offer potential for rapid and reliable dermatophyte identification.
Purpose of the Study:
- To identify dermatophytes from patients in Alagoas state.
- To compare phenotypical and molecular identification methods.
- To evaluate the efficiency of ITS-RFLP for dermatophyte identification.
Main Methods:
- Clinical samples were cultured on Sabouraud dextrose agar.
- DNA extraction followed by ITS amplicon analysis.
- Restriction Fragment Length Polymorphism (RFLP) using DdeI enzyme (ITS-RFLP).
Main Results:
- ITS-RFLP with DdeI successfully identified Microsporum canis, Nannizzia gypsea, and Trichophyton rubrum.
- The T. tonsurans/T. mentagrophytes complex showed identical restriction patterns.
- Genotyping reclassified two T. tonsurans and one Microsporum sp. strain as T. rubrum.
Conclusions:
- ITS-RFLP with DdeI provides faster and reliable dermatophyte identification compared to traditional methods.
- This molecular method is less efficient for distinguishing closely related cryptic dermatophyte species.
- Further refinement of molecular techniques may be needed for complex cases.
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