Literature DB >> 2199515

Discriminant analysis of cellular fatty acids of Candida species, Torulopsis glabrata, and Cryptococcus neoformans determined by gas-liquid chromatography.

K Marumo1, Y Aoki.   

Abstract

We used discriminant analysis of cellular fatty acid compositions determined by gas-liquid chromatography to differentiate yeastlike fungi (a total of 190 strains; including 37 Candida albicans strains, 21 Candida krusei strains, 13 Candida guilliermondii strains, 37 Candida tropicalis strains, 10 Candida pseudotropicalis strains, 24 Candida parapsilosis strains, 32 Torulopsis glabrata strains, and 16 Cryptococcus neoformans strains). Previous results with a standard strain of C. albicans indicated that reproducible fatty acid chromatograms can be obtained with cells grown in a medium of 2% Sabouraud glucose agar at 35 degrees C for between 48 and 72 h. These conditions were also maintained in cultures of the other organisms that we studied. The cellular fatty acid compositions of the organisms were determined quantitatively by gas-liquid chromatography and analyzed by discriminant analysis. The total correct identification expressed as relative peak percent was 95.8% (89.2% for C. albicans to 100% for C. krusei, C. guilliermondii, C. pseudotropicalis, T. glabrata, and C. neoformans). The total correct identification expressed as the common peak (palmitic acid) ratio was 94.7% (87.5% for C. parapsilosis to 100% for C. pseudotropicalis, T. glabrata, and C. neoformans). Both results suggest that cellular fatty acid compositions can be differentiated by this method.

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Year:  1990        PMID: 2199515      PMCID: PMC267979          DOI: 10.1128/jcm.28.7.1509-1513.1990

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


  9 in total

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3.  Identification of clinical isolates of mycobacteria with gas-liquid chromatography alone.

Authors:  P A Tisdall; G D Roberts; J P Anhalt
Journal:  J Clin Microbiol       Date:  1979-10       Impact factor: 5.948

4.  Determination of cellular fatty acid compositions of various yeasts by gas-liquid chromatography.

Authors:  C W Moss; T Shinoda; J W Samuels
Journal:  J Clin Microbiol       Date:  1982-12       Impact factor: 5.948

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Authors:  F Peladan; J C Turlot; H Monteil
Journal:  J Gen Microbiol       Date:  1984-12

6.  Identification of species of Candida, Cryptococcus, and Torulopsis by gas-liquid chromatography.

Authors:  P K Gangopadhyay; H Thadepalli; I Roy; A Ansari
Journal:  J Infect Dis       Date:  1979-12       Impact factor: 5.226

7.  Characterisation of pathogenic species of Candida by gas chromatography: preliminary findings.

Authors:  P M Lategan; S C Erasmus; J C du Preez
Journal:  J Med Microbiol       Date:  1981-05       Impact factor: 2.472

8.  Comparative evaluation of the Iatron serological Candida check kit and the API 20C kit for identification of medically important Candida species.

Authors:  T Shinoda; L Kaufman; A A Padhye
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9.  CLASSIFICATION OF MICROORGANISMS BY ANALYSIS OF CHEMICAL COMPOSITION. I. FEASIBILITY OF UTILIZING GAS CHROMATOGRAPHY.

Authors:  K ABEL; H DESCHMERTZING; J I PETERSON
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  9 in total
  10 in total

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4.  Characterization and differentiation of filamentous fungi based on Fatty Acid composition.

Authors:  P D Stahl; M J Klug
Journal:  Appl Environ Microbiol       Date:  1996-11       Impact factor: 4.792

5.  Strain delineation and epidemiology of Candida (Clavispora) lusitaniae.

Authors:  W G Merz; U Khazan; M A Jabra-Rizk; L C Wu; G J Osterhout; P F Lehmann
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6.  Total cellular fatty acid composition of cultured Pneumocystis carinii.

Authors:  J R Paulsrud; S F Queener; M S Bartlett; J W Smith
Journal:  J Clin Microbiol       Date:  1993-07       Impact factor: 5.948

7.  Prostaglandin E(2) production by high and low virulent strains of Paracoccidioides brasiliensis.

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Authors:  D F Welch
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9.  Resource Partitioning between Bacteria, Fungi, and Protists in the Detritusphere of an Agricultural Soil.

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Review 10.  Detection of Species-Specific Lipids by Routine MALDI TOF Mass Spectrometry to Unlock the Challenges of Microbial Identification and Antimicrobial Susceptibility Testing.

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  10 in total

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