Literature DB >> 9399515

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

G N Latouche1, H M Daniel, O C Lee, T G Mitchell, T C Sorrell, W Meyer.   

Abstract

A total of 49 type and neotype isolates and 32 clinical isolates of the anamorph genus Candida and related teleomorph genera were obtained from different culture collections and clinical laboratories. Isolates were subjected to two phenotypic methods of identification, Vitek yeast biochemical card (YBC) and API ID 32C, both based on carbohydrate assimilation, and one genotypic method, PCR fingerprinting, based on the detection of DNA polymorphisms between minisatellite-specific sequences with the primer M13 (5' GAGGGTGGCGGTTCT 3'). The correct identification of a strain at the Centraalbureau voor Schimmelcultures was used as the gold standard for the identification of an isolate. When the study was restricted to species included in the respective biochemical databases, the Vitek YBC and API ID 32C systems performed adequately with positive identification rates of 87.3 and 76.8%, respectively. When uncommon species were added to the study, several of which are not included in the databases, the identification efficiencies were 76.5 and 77.5%, respectively. By comparison, all isolates were correctly identified by PCR fingerprinting, with 63 reference species profiles in the databank. Sufficient polymorphisms among the total set of banding patterns were observed, with adequate similarity in the major patterns obtained from a given species, to allow each isolate to be assigned unambiguously to a particular species. In addition, variations in minor bands allowed for differentiation to the strain level. PCR fingerprinting was found to be rapid, reproducible, and more cost-effective than either biochemical approach. Our results provide reference laboratories with an improved identification method for yeasts based on genotypic rather than phenotypic markers.

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Year:  1997        PMID: 9399515      PMCID: PMC230143          DOI: 10.1128/jcm.35.12.3171-3180.1997

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  24 in total

1.  DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.

Authors:  J G Williams; A R Kubelik; K J Livak; J A Rafalski; S V Tingey
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2.  Comparative study on the identification of food-borne yeasts.

Authors:  T Török; A D King
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3.  A sequence in M13 phage detects hypervariable minisatellites in human and animal DNA.

Authors:  G Vassart; M Georges; R Monsieur; H Brocas; A S Lequarre; D Christophe
Journal:  Science       Date:  1987-02-06       Impact factor: 47.728

4.  Evaluation of the updated Vitek yeast identification data base.

Authors:  M el-Zaatari; L Pasarell; M R McGinnis; J Buckner; G A Land; I F Salkin
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5.  Update and evaluation of the AutoMicrobic yeast identification system.

Authors:  G Land; R Stotler; K Land; J Staneck
Journal:  J Clin Microbiol       Date:  1984-10       Impact factor: 5.948

6.  Evaluation of the MicroScan Rapid Yeast Identification panel.

Authors:  G St Germain; D Beauchesne
Journal:  J Clin Microbiol       Date:  1991-10       Impact factor: 5.948

7.  Evaluation of the Baxter-MicroScan 4-hour enzyme-based yeast identification system.

Authors:  G A Land; I F Salkin; M el-Zaatari; M R McGinnis; G Hashem
Journal:  J Clin Microbiol       Date:  1991-04       Impact factor: 5.948

8.  Evaluation of the API ATB 32C system for the rapid identification of foodborne yeasts.

Authors:  H Rohm; F Lechner; M Lehner
Journal:  Int J Food Microbiol       Date:  1990-12       Impact factor: 5.277

9.  Clinical evaluation of the AutoMicrobic system Yeast Biochemical Card for rapid identification of medically important yeasts.

Authors:  D L Oblack; J C Rhodes; W J Martin
Journal:  J Clin Microbiol       Date:  1981-02       Impact factor: 5.948

10.  DNA finger printing by oligonucleotide probes specific for simple repeats.

Authors:  S Ali; C R Müller; J T Epplen
Journal:  Hum Genet       Date:  1986-11       Impact factor: 4.132

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  18 in total

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2.  Pichia farinosa bloodstream infection in a lymphoma patient.

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3.  Comparative evaluation of three commercial identification systems using common and rare bloodstream yeast isolates.

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4.  Comparative analyses of classical phenotypic method and ribosomal RNA gene sequencing for identification of medically relevant Candida species.

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Review 5.  Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy.

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6.  PCR fingerprinting of Candida albicans associated with chronic hyperplastic candidosis and other oral conditions.

Authors:  K L Bartie; D W Williams; M J Wilson; A J Potts; M A Lewis
Journal:  J Clin Microbiol       Date:  2001-11       Impact factor: 5.948

7.  Identification of pathogenic rare yeast species in clinical samples: comparison between phenotypical and molecular methods.

Authors:  Emilio Cendejas-Bueno; Alicia Gomez-Lopez; Emilia Mellado; Juan L Rodriguez-Tudela; Manuel Cuenca-Estrella
Journal:  J Clin Microbiol       Date:  2010-03-17       Impact factor: 5.948

8.  Differentiation between atypical isolates of Candida lusitaniae and Candida pulcherrima by determination of mating type.

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9.  Species identification of invasive yeasts including Candida in Pakistan: limitations of phenotypic methods.

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10.  Significance of molecular identification and antifungal susceptibility of clinically significant yeasts and moulds in a global antifungal surveillance programme.

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