Identification of C. auris clade 5 isolates using claID.

Diagnostic PCR clade-specific sequences clade-typing new clade

Journal

Medical mycology
ISSN: 1460-2709
Titre abrégé: Med Mycol
Pays: England
ID NLM: 9815835

Informations de publication

Date de publication:
27 Feb 2024
Historique:
medline: 28 2 2024
pubmed: 28 2 2024
entrez: 28 2 2024
Statut: aheadofprint

Résumé

Candida auris poses threats to the global medical community due to its multidrug resistance, ability to cause nosocomial outbreaks and resistance to common sterilization agents. Different variants that emerged at different geographical zones were classified as clades. Clade-typing becomes necessary to track its spread, possible emergence of new clades, and to predict the properties that exhibit a clade-bias. We previously reported a colony-PCR based, clade-identification method (claID) employing whole genome alignments and identification of clade-specific sequences of four major geographical clades. Here, we expand the panel by identifying clade 5 which was later isolated in Iran, using specific primers designed through in silico analyses. Candida auris, a multidrug-resistant fungal pathogen, evolves as distinct geographical clades. We describe the identification of clade 5 specific DNA sequence, which was used to design primers that distinguished clade 5 from other clades, adding to the panel of the clade-identification (claID) system.

Autres résumés

Type: plain-language-summary (eng)
Candida auris, a multidrug-resistant fungal pathogen, evolves as distinct geographical clades. We describe the identification of clade 5 specific DNA sequence, which was used to design primers that distinguished clade 5 from other clades, adding to the panel of the clade-identification (claID) system.

Identifiants

pubmed: 38414264
pii: 7615445
doi: 10.1093/mmy/myae018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology.

Auteurs

Aswathy Narayanan (A)

Molecular Mycology Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.

Pavitra Selvakumar (P)

Computational Biology, The Institute of Mathematical Sciences, Chennai, India.
Homi Bhabha National Institute, Mumbai, India.

Rahul Siddharthan (R)

Computational Biology, The Institute of Mathematical Sciences, Chennai, India.
Homi Bhabha National Institute, Mumbai, India.

Kaustuv Sanyal (K)

Molecular Mycology Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.

Classifications MeSH