Literature DB >> 9378120

Identification of pathogenic yeasts of the imperfect genus Candida by polymerase chain reaction fingerprinting.

W Meyer1, G N Latouche, H M Daniel, M Thanos, T G Mitchell, D Yarrow, G Schönian, T C Sorrell.   

Abstract

With the increase in the number of immunocompromised hosts, the number of fungal pathogens has increased markedly. Identification and classification, especially of yeast species and strains, is often difficult when based solely on phenotypic characteristics. Since it became clear that different fungal pathogens require specific treatment strategies, there is a need for simple, rapid and reliable methods to identify fungal isolates. Polymerase chain reaction (PCR) fingerprinting was successfully applied here to identify yeast isolates. Microsatellite [(GTG)5; (GACA)4] and minisatellite [(5'GAGGGTGGCGGTTCT 3'), derived from the core-sequence of the phage M13] specific primers were used as single primers in the PCR to amplify hypervariable interrepeat DNA sequences from over 200 European, American and Australian clinical isolates within the genus Candida. Each species, represented by its type strain, could be identified by a specific multilocus pattern, allowing for the assignment of all the isolates to the appropriate species. Intra-species variation in the multilocus profiles was about 20% compared to inter-species variation, which was up to 80%. Anamorph-teleomorph pairs could be identified by highly homologous PCR fingerprint patterns. PCR fingerprinting was more discriminatory when compared with routinely used biochemical tests (Vitek YBC and API ID 32C). PCR fingerprinting has proven to be a powerful tool for the identification of medically important yeasts. It is rapid, sensitive, reliable, highly reproducible, stable in vitro and in vivo, and applicable to large scale experiments. Potential applications include: yeast taxonomy, epidemiology, environmental surveys, and improvement of the diagnosis of mycotic diseases.

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Year:  1997        PMID: 9378120     DOI: 10.1002/elps.1150180911

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  12 in total

1.  Application of PCR to distinguish common species of dermatophytes.

Authors:  E Faggi; G Pini; E Campisi; C Bertellini; E Difonzo; F Mancianti
Journal:  J Clin Microbiol       Date:  2001-09       Impact factor: 5.948

2.  Primers ITS1, ITS2 and ITS4 detect the intraspecies variability in the internal transcribed spacers and 5.8S rRNA gene region in clinical isolates of fungi.

Authors:  M Korabecná; V Liska; K Fajfrlík
Journal:  Folia Microbiol (Praha)       Date:  2003       Impact factor: 2.099

3.  Identification of Geotrichum candidum at the species and strain level: proposal for a standardized protocol.

Authors:  S Gente; D Sohier; E Coton; C Duhamel; M Gueguen
Journal:  J Ind Microbiol Biotechnol       Date:  2006-07-20       Impact factor: 3.346

4.  Rapid emergence of echinocandin resistance in Candida glabrata resulting in clinical and microbiologic failure.

Authors:  James S Lewis; Nathan P Wiederhold; Brian L Wickes; Thomas F Patterson; James H Jorgensen
Journal:  Antimicrob Agents Chemother       Date:  2013-07-01       Impact factor: 5.191

5.  Species and genotypic diversities and similarities of pathogenic yeasts colonizing women.

Authors:  J Xu; C M Boyd; E Livingston; W Meyer; J F Madden; T G Mitchell
Journal:  J Clin Microbiol       Date:  1999-12       Impact factor: 5.948

6.  Fungus symbionts colonizing the galleries of the ambrosia beetle Platypus quercivorus.

Authors:  Rikiya Endoh; Motofumi Suzuki; Gen Okada; Yuko Takeuchi; Kazuyoshi Futai
Journal:  Microb Ecol       Date:  2011-03-08       Impact factor: 4.552

7.  Comparison of use of phenotypic and genotypic characteristics for identification of species of the anamorph genus Candida and related teleomorph yeast species.

Authors:  G N Latouche; H M Daniel; O C Lee; T G Mitchell; T C Sorrell; W Meyer
Journal:  J Clin Microbiol       Date:  1997-12       Impact factor: 5.948

8.  Clonal and spontaneous origins of fluconazole resistance in Candida albicans.

Authors:  J Xu; A R Ramos; R Vilgalys; T G Mitchell
Journal:  J Clin Microbiol       Date:  2000-03       Impact factor: 5.948

9.  Rapid identification of Candida species by using nuclear magnetic resonance spectroscopy and a statistical classification strategy.

Authors:  Uwe Himmelreich; Ray L Somorjai; Brion Dolenko; Ok Cha Lee; Heide-Marie Daniel; Ronan Murray; Carolyn E Mountford; Tania C Sorrell
Journal:  Appl Environ Microbiol       Date:  2003-08       Impact factor: 4.792

10.  Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation.

Authors:  Jitka Trtkova; Petr Pavlicek; Lenka Ruskova; Petr Hamal; Dagmar Koukalova; Vladislav Raclavsky
Journal:  BMC Microbiol       Date:  2009-11-10       Impact factor: 3.605

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