ArticleFrontiers in microbiology2021
Molecular Epidemiology, Genetic Diversity, and Antifungal Susceptibility of Major Pathogenic Dermatophytes Isolated From Human Dermatophytosis.
Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Trichophyton indotineae: Epidemiology, antifungal resistance and antifungal stewardship strategies.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026Review
- Molecular identification and mitogenomic characterization of cattle-associatedFrontiers in veterinary science · 2026Article
- Update on the epidemiology of dermatophytosis in Isfahan, Iran over the past decade.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Article
- Fungal Pathogens in Pet Dogs and Cats in Grenada: Identification and Antifungal Susceptibility.Journal of fungi (Basel, Switzerland) · 2025Article
- Article
- Computational analysis of missense mutations in squalene epoxidase associated with terbinafine resistance in clinically reported dermatophytes.Scientific reports · 2025Article
- Mycological Profile and Associated Factors Among Patients with Dermatophytosis in Astana, Kazakhstan.Journal of fungi (Basel, Switzerland) · 2025Article
- Whole Genome Sequence Analysis of Terbinafine Resistant and Susceptible Trichophyton Isolates from Human and Animal Origin.Mycopathologia · 2025Article
- Epidemiological trends, antifungal drug susceptibility and SQLE point mutations in etiologic species of human dermatophytosis in Al-Diwaneyah, Iraq.Scientific reports · 2024Article
- Potential Inhibitory Effect of Miltefosine against Terbinafine-ResistantPathogens (Basel, Switzerland) · 2023Article
- Phenotypic and Genotypic Identification of Dermatophytes from Mexico and Central American Countries.Journal of fungi (Basel, Switzerland) · 2023Article
- Dermatophyte infection: from fungal pathogenicity to host immune responses.Frontiers in immunology · 2023Review
- Anti-dermatophytic activity of cold atmospheric plasma against Trichophyton rubrum via affecting fungal growth, morphology, drug susceptibility and HSP90 gene expression.Scientific reports · 2022Article
- Phylogeny, Antifungal Susceptibility, and Point Mutations ofFrontiers in cellular and infection microbiology · 2022Article
- Antifungal Susceptibility of Dermatophyte Isolates from Patients with Chronic and Recurrent Dermatophytosis.Indian dermatology online journalArticle
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3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDermatophytes are a homogeneous group of species with low genetic diversity, and there are still many uncertainties about the boundaries among species.
objectivesAiming at clarifying the relationships among species in the genus and introducing suitable genes for multilocus sequence typing (MLST), a new MLST scheme approach was developed to characterize the major pathogenic dermatophytes.
methodsWe performed maximum parsimony (MP), MrBayes, RAxML, and eBURST analyses, based on the MLST scheme to scrutinize the evolution within 95 clinical isolates and four reference strains belonging to the four major dermatophytes species. Then, the discriminatory power, pairwise genetic distances, ratio dN/dS, and sequence types (STs) of these isolates were determined. Also, to study taxonomy, sequences of the internal transcribed spacer (ITS),
resultsFindings of the present study indicated that three genes:
conclusionsResults of this study showed that MLST is very effective in determining the boundaries between species and taxonomy. Considering that there is no database for MLST dermatophytes, further studies are needed to determine the suitable genes for MLST. Also, the determination of STs in epidemiological studies and raising epidemiological information are helpful. This study was a new starting point to determine the ST and a foundation for a dermatophyte MLST database.
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