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Comparison of Pcr-Rflp With 21-Plex Pcr and Rdna Sequencing for Identification of Clinical Yeast Isolates Publisher Pubmed



Kord M1 ; Elmimoghaddam A1 ; Hashemi SJ1 ; Reziae S1 ; Daie Ghazvini R1 ; Salehi M2 ; Abdollahi A3 ; Ahmadi A1, 7 ; Getso MI1, 4 ; Boekhout T5, 6 ; Khodavaisy S1
Authors
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Authors Affiliations
  1. 1. Department of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Infectious Diseases and Tropical Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Pathology, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Medical Microbiology and Parasitology, Faculty of Clinical Sciences, College of Health Sciences, Bayero University Kano, Kano, Nigeria
  5. 5. Westerdijk Fungal Biodiversity Institute, Utrecht, Netherlands
  6. 6. Institute of Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, Netherlands
  7. 7. Scientific research center, Tehran University of Medical Sciences, Tehran, Iran

Source: Mycopathologia Published:2021


Abstract

Non-albicans Candida species and other rare yeasts have emerged as major opportunistic pathogens in fungal infections. Identification of opportunistic yeasts in developing countries is mainly performed by phenotypic assay, which are time-consuming and prone to errors. The aim of the present study was to evaluate PCR-RFLP as a routinely used identification technique for the most clinically important Candida species in Iran and make a comparison with a novel multiplex PCR, called 21-plex PCR. One hundred and seventy-three yeast isolates from clinical sources were selected and identified with sequence analysis of the D1/D2 domains of rDNA (LSU rDNA) sequencing as the gold standard method. The results were compared with those obtained by PCR-RFLP using MspI restriction enzyme and the 21-plex PCR. PCR-RFLP correctly identified 93.4% of common pathogenic Candida species (C. albicans, C. glabrata, C. parapsilosis, C. tropicalis, and P. kudriavsevii (= C. krusei)) and was able to identify 45.5% of isolates of the uncommon yeast species compared to the D1/D2 rDNA sequencing. Compared with PCR-RFLP, all common Candida species and 72.7% of uncommon yeast species were correctly identified by the 21-plex PCR. The application of the 21-plex PCR assay as a non-sequence-based molecular method for the identification of common and rare yeasts can reduce turnaround time and costs for the identification of clinically important yeasts and can be applied in resource-limited settings. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
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