Literature DB >> 11015386

Differentiation between Candida dubliniensis and Candida albicans by fatty acid methyl ester analysis using gas-liquid chromatography.

H Peltroche-Llacsahuanga1, S Schmidt, M Seibold, R Lütticken, G Haase.   

Abstract

Candida dubliniensis is often found in mixed culture with C. albicans, but its recognition is hampered as the color of its colonies in primary culture on CHROMagar Candida varies. Furthermore, definite identification of C. dubliniensis is difficult to achieve, time-consuming, and expensive. Therefore, a method to discriminate between these two closely related yeast species by fatty acid methyl ester (FAME) analysis using gas-liquid chromatography (Sherlock Microbial Identification System [MIS]; MIDI, Inc., Newark, Del.) was developed. Although the chromatograms of these two species revealed no obvious differences when applying FAME analysis, a new library (CADLIB) was successfully created using Sherlock Library Generation Software (MIDI). The amount and frequency of FAME was analyzed using library training files (n = 10 for each species), preferentially those comprising reference strains. For testing the performance of the CADLIB, clinical isolates genetically assigned to the respective species (C. albicans, n = 32; C. dubliniensis, n = 28) were chromatographically analyzed. For each isolate tested, MIS computed a similarity index (SI) indicating a hierarchy of possible strain fits. When using the newly created library CADLIB, the SIs for C. albicans and C. dubliniensis ranged from 0.11 to 0.96 and 0.53 to 0. 93 (for all but one), respectively. Only three isolates of C. albicans (9.4%) were misidentified as C. dubliniensis, whereas all isolates of C. dubliniensis were correctly identified. Resulting differentiation accuracy was 90.6% for C. albicans and 100% for C. dubliniensis. Cluster analysis and principal component analysis of the resulting FAME profiles showed two clearly distinguishable clusters matching up with two assigned species for the strains tested. Thus, the created library proved to be well suited to discriminate between these two species.

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Year:  2000        PMID: 11015386      PMCID: PMC87459     

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


  22 in total

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Authors:  A Schoofs; F C Odds; R Colebunders; M Ieven; H Goossens
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3.  Evaluation of phenotypic markers for selection and identification of Candida dubliniensis.

Authors:  K Tintelnot; G Haase; M Seibold; F Bergmann; M Staemmler; T Franz; D Naumann
Journal:  J Clin Microbiol       Date:  2000-04       Impact factor: 5.948

4.  Genetic structure of typical and atypical populations of Candida albicans from Africa.

Authors:  A Forche; G Schönian; Y Gräser; R Vilgalys; T G Mitchell
Journal:  Fungal Genet Biol       Date:  1999-11       Impact factor: 3.495

5.  Evaluation of the Microbial Identification System for identification of clinically isolated yeasts.

Authors:  A E Crist; L M Johnson; P J Burke
Journal:  J Clin Microbiol       Date:  1996-10       Impact factor: 5.948

6.  Rapid identification of Candida dubliniensis with commercial yeast identification systems.

Authors:  D H Pincus; D C Coleman; W R Pruitt; A A Padhye; I F Salkin; M Geimer; A Bassel; D J Sullivan; M Clarke; V Hearn
Journal:  J Clin Microbiol       Date:  1999-11       Impact factor: 5.948

7.  Candida dubliniensis sp. nov.: phenotypic and molecular characterization of a novel species associated with oral candidosis in HIV-infected individuals.

Authors:  D J Sullivan; T J Westerneng; K A Haynes; D E Bennett; D C Coleman
Journal:  Microbiology       Date:  1995-07       Impact factor: 2.777

Review 8.  Application of fatty acid profiles in the identification of yeasts.

Authors:  A Botha; J L Kock
Journal:  Int J Food Microbiol       Date:  1993-06-25       Impact factor: 5.277

9.  Phylogenetic analysis of ten black yeast species using nuclear small subunit rRNA gene sequences.

Authors:  G Haase; L Sonntag; Y van de Peer; J M Uijthof; A Podbielski; B Melzer-Krick
Journal:  Antonie Van Leeuwenhoek       Date:  1995-07       Impact factor: 2.271

10.  Phenotypic and genotypic characterization of unusual vaginal isolates of Candida albicans from Africa.

Authors:  H J Tietz; A Küssner; M Thanos; M P De Andrade; W Presber; G Schönian
Journal:  J Clin Microbiol       Date:  1995-09       Impact factor: 5.948

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  6 in total

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Authors:  K Oliveira; G Haase; C Kurtzman; J J Hyldig-Nielsen; H Stender
Journal:  J Clin Microbiol       Date:  2001-11       Impact factor: 5.948

Review 2.  Candida dubliniensis: epidemiology and phenotypic methods for identification.

Authors:  Erico Silva Loreto; Liliane A Scheid; Cristina W Nogueira; Gilson Zeni; Janio M Santurio; Sydney H Alves
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Review 3.  Plasma Membrane MCC/Eisosome Domains Promote Stress Resistance in Fungi.

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Journal:  Microbiol Mol Biol Rev       Date:  2020-09-16       Impact factor: 11.056

4.  Matrix-assisted laser desorption ionization-time of flight mass spectrometry for fast and reliable identification of clinical yeast isolates.

Authors:  G Marklein; M Josten; U Klanke; E Müller; R Horré; T Maier; T Wenzel; M Kostrzewa; G Bierbaum; A Hoerauf; H-G Sahl
Journal:  J Clin Microbiol       Date:  2009-07-01       Impact factor: 5.948

5.  Plasma membrane architecture protects Candida albicans from killing by copper.

Authors:  Lois M Douglas; James B Konopka
Journal:  PLoS Genet       Date:  2019-01-11       Impact factor: 5.917

6.  Flavodoxin-Like Proteins Protect Candida albicans from Oxidative Stress and Promote Virulence.

Authors:  Lifang Li; Shamoon Naseem; Sahil Sharma; James B Konopka
Journal:  PLoS Pathog       Date:  2015-09-01       Impact factor: 6.823

  6 in total

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