ArticleJournal of clinical microbiology2018
Nucleotide Sequence Database Comparison for Routine Dermatophyte Identification by Internal Transcribed Spacer 2 Genetic Region DNA Barcoding.
Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Current Performance of MALDI-TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species.Journal of fungi (Basel, Switzerland) · 2025Article
- Molecular Characterization of Dermatophytes Isolated in a Tertiary Care Hospital in the North Eastern Part of India.Cureus · 2024Article
- Investigations upon the Improvement of Dermatophyte Identification Using an Online Mass Spectrometry Application.Journal of fungi (Basel, Switzerland) · 2022Article
- Multilaboratory Evaluation of the MALDI-TOF Mass Spectrometry System, MicroIDSys Elite, for the Identification of Medically Important Filamentous Fungi.Mycopathologia · 2021Article
- A Comparative Study on Phenotypic versus ITS-Based Molecular Identification of Dermatophytes Isolated in Dakar, Senegal.International journal of microbiology · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Conventional dermatophyte identification is based on morphological features. However, recent studies have proposed to use the nucleotide sequences of the rRNA internal transcribed spacer (ITS) region as an identification barcode of all fungi, including dermatophytes. Several nucleotide databases are available to compare sequences and thus identify isolates; however, these databases often contain mislabeled sequences that impair sequence-based identification. We evaluated five of these databases on a clinical isolate panel. We selected 292 clinical dermatophyte strains that were prospectively subjected to an ITS2 nucleotide sequence analysis. Sequences were analyzed against the databases, and the results were compared to clusters obtained via DNA alignment of sequence segments. The DNA tree served as the identification standard throughout the study. According to the ITS2 sequence identification, the majority of strains (255/292) belonged to the genus
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