Literature DB >> 11346267

PCR fingerprinting: a convenient molecular tool to distinguish between Candida dubliniensis and Candida albicans.

W Meyer1, K Maszewska, T C Sorrell.   

Abstract

Candida dubliniensis was recently identified as a germ-tube- and chlamydospore-positive yeast, phenotypically and morphologically indistinguishable from the phylogenetically closely related yeast species C. albicans and its synonymized variant C. stellatoidea. The high similarity between these yeast species causes significant problems in the correct identification of C. dubliniensis in a standard clinical mycology laboratory. Polymerase chain reaction (PCR) fingerprinting was successfully applied here to distinguish between clinical isolates of the two closely related species. Microsatellite ([GACA]4) and minisatellite ([5'-GAGGGTGGCGGTTCT-3'], derived from the core-sequence of the wild-type phage M13) specific oligonucleotides were used as single primers in PCR to amplify hypervariable inter-repeat DNA sequences from 16 C. dubliniensis strains and 11 C. albicans strains. Each species, represented by its ex-type strain, could be identified by a distinct species-specific multilocus pattern, allowing identification to species level for all clinical isolates. In addition, the PCR fingerprinting generated strain-specific profiles, making this method applicable to epidemiological investigations. PCR fingerprinting using the primer M13 is proposed here as a simple, reliable and highly reproducible molecular tool to differentiate between strains of C. albicans and C. dubliniensis.

Entities:  

Mesh:

Year:  2001        PMID: 11346267     DOI: 10.1080/mmy.39.2.185.193

Source DB:  PubMed          Journal:  Med Mycol        ISSN: 1369-3786            Impact factor:   4.076


  8 in total

1.  Rapid identification of Sporothrix species by T3B fingerprinting.

Authors:  Manoel Marques Evangelista de Oliveira; Paula Sampaio; Rodrigo Almeida-Paes; Célia Pais; Maria Clara Gutierrez-Galhardo; Rosely Maria Zancope-Oliveira
Journal:  J Clin Microbiol       Date:  2012-03-07       Impact factor: 5.948

2.  Rapid identification and differentiation of Candida albicans and Candida dubliniensis by capillary-based amplification and fluorescent probe hybridization.

Authors:  Rangaraj Selvarangan; Ajit P Limaye; Brad T Cookson
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

3.  Use of amplified fragment length polymorphism analysis to identify medically important Candida spp., including C. dubliniensis.

Authors:  A Borst; B Theelen; E Reinders; T Boekhout; A C Fluit; P H M Savelkoul
Journal:  J Clin Microbiol       Date:  2003-04       Impact factor: 5.948

4.  Microsatellite-primed PCR and random primer amplification polymorphic DNA for the identification and epidemiology of dermatophytes.

Authors:  M F Spesso; C T Nuncira; V L Burstein; D T Masih; M D Dib; L S Chiapello
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-02-15       Impact factor: 3.267

5.  Study of molecular epidemiology of candidiasis in portugal by PCR fingerprinting of Candida clinical isolates.

Authors:  Alexandra Correia; Paula Sampaio; Judite Almeida; Célia Pais
Journal:  J Clin Microbiol       Date:  2004-12       Impact factor: 5.948

6.  Identification of Candida spp. by randomly amplified polymorphic DNA analysis and differentiation between Candida albicans and Candida dubliniensis by direct PCR methods.

Authors:  Consuelo Bautista-Muñoz; Xavier M Boldo; Lourdes Villa-Tanaca; César Hernández-Rodríguez
Journal:  J Clin Microbiol       Date:  2003-01       Impact factor: 5.948

7.  Active surveillance for candidemia, Australia.

Authors:  Sharon Chen; Monica Slavin; Quoc Nguyen; Deborah Marriott; E Geoffrey Playford; David Ellis; Tania Sorrell
Journal:  Emerg Infect Dis       Date:  2006-10       Impact factor: 6.883

8.  Influence of fixed orthodontic appliances on the change in oral Candida strains among adolescents.

Authors:  Yan Zheng; Zhenya Li; Xiangyi He
Journal:  J Dent Sci       Date:  2014-05-14       Impact factor: 2.080

  8 in total

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