Literature DB >> 23142490

Rapid and accurate identification of isolates of Candida species by melting peak and melting curve analysis of the internally transcribed spacer region 2 fragment (ITS2-MCA).

Ellen Decat1, Els Van Mechelen, Bart Saerens, Stefan J T Vermeulen, Teun Boekhout, Steven De Blaiser, Mario Vaneechoutte, Pieter Deschaght.   

Abstract

Rapid identification of clinically important yeasts can facilitate the initiation of anti-fungal therapy, since susceptibility is largely species-dependent. We evaluated melting peak and melting curve analysis of the internally transcribed spacer region 2 fragment (ITS2-MCA) as an identification tool for distinguishing between 16 Candida spp., i.e. Candida albicans, Candida bracarensis, Candida dubliniensis, Candida famata, Candida glabrata, Candida guilliermondii, Candida inconspicua, Candida kefyr, Candida krusei, Candida lipolytica, Candida lusitaniae, Candida nivariensis, Candida norvegensis, Candida parapsilosis, Candida tropicalis and Candida sojae, and Saccharomyces cerevisiae and one species pair, i.e. Candida metapsilosis/Candida orthopsilosis. Starting from a cultured isolate, ITS2-MCA led to differentiation of these species within 6 h. According to our findings, ITS2-MCA offers a simple, rapid and cost-effective method for identification of cultured isolates of the clinically most relevant and prevalent Candida species. Further studies will be necessary to evaluate how it performs on mixed samples and clinical samples.
Copyright © 2012 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

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Year:  2012        PMID: 23142490     DOI: 10.1016/j.resmic.2012.10.017

Source DB:  PubMed          Journal:  Res Microbiol        ISSN: 0923-2508            Impact factor:   3.992


  12 in total

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2.  Rapid identification of medically important Candida isolates using high resolution melting analysis.

Authors:  Eva Nemcova; Michaela Cernochova; Filip Ruzicka; Barbora Malisova; Tomas Freiberger; Petr Nemec
Journal:  PLoS One       Date:  2015-02-17       Impact factor: 3.240

3.  Validation of High Resolution Melting Analysis (HRM) of the Amplified ITS2 Region for the Detection and Identification of Yeasts from Clinical Samples: Comparison with Culture and MALDI-TOF Based Identification.

Authors:  Hans Duyvejonck; Piet Cools; Johan Decruyenaere; Kristien Roelens; Lucien Noens; Stefan Vermeulen; Geert Claeys; Ellen Decat; Els Van Mechelen; Mario Vaneechoutte
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

4.  Development of Candida-Specific Real-Time PCR Assays for the Detection and Identification of Eight Medically Important Candida Species.

Authors:  Jing Zhang; Guo-Chiuan Hung; Kenjiro Nagamine; Bingjie Li; Shien Tsai; Shyh-Ching Lo
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5.  Dynamic time warping assessment of high-resolution melt curves provides a robust metric for fungal identification.

Authors:  Sha Lu; Gordana Mirchevska; Sayali S Phatak; Dongmei Li; Janos Luka; Richard A Calderone; William A Fonzi
Journal:  PLoS One       Date:  2017-03-06       Impact factor: 3.240

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Journal:  Rev Inst Med Trop Sao Paulo       Date:  2019-08-08       Impact factor: 1.846

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Authors:  Manuela Gómez-Gaviria; Héctor M Mora-Montes
Journal:  Infect Drug Resist       Date:  2020-06-10       Impact factor: 4.003

9.  Development of high-resolution melting PCR (HRM-PCR) assay to identify native fungal species associated with the wheat endosphere.

Authors:  Tomasz Cłapa; Katarzyna Mikołajczak; Lidia Błaszczyk; Dorota Narożna
Journal:  J Appl Genet       Date:  2020-08-23       Impact factor: 3.240

10.  Molecular identification of Candida isolates by Real-time PCR-high-resolution melting analysis and investigation of the genetic diversity of Candida species.

Authors:  Esmaeel Eghtedar Nejad; Pooya Ghasemi Nejad Almani; Mohammad Ali Mohammadi; Samira Salari
Journal:  J Clin Lab Anal       Date:  2020-07-12       Impact factor: 2.352

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