Literature DB >> 12620869

Evaluation of a rapid, quantitative real-time PCR method for enumeration of pathogenic Candida cells in water.

Nichole E Brinkman1, Richard A Haugland, Larry J Wymer, Muruleedhara Byappanahalli, Richard L Whitman, Stephen J Vesper.   

Abstract

Quantitative PCR (QPCR) technology, incorporating fluorigenic 5' nuclease (TaqMan) chemistry, was utilized for the specific detection and quantification of six pathogenic species of Candida (C. albicans, C. tropicalis, C. krusei, C. parapsilosis, C. glabrata and C. lusitaniae) in water. Known numbers of target cells were added to distilled and tap water samples, filtered, and disrupted directly on the membranes for recovery of DNA for QPCR analysis. The assay's sensitivities were between one and three cells per filter. The accuracy of the cell estimates was between 50 and 200% of their true value (95% confidence level). In similar tests with surface water samples, the presence of PCR inhibitory compounds necessitated further purification and/or dilution of the DNA extracts, with resultant reductions in sensitivity but generally not in quantitative accuracy. Analyses of a series of freshwater samples collected from a recreational beach showed positive correlations between the QPCR results and colony counts of the corresponding target species. Positive correlations were also seen between the cell quantities of the target Candida species detected in these analyses and colony counts of Enterococcus organisms. With a combined sample processing and analysis time of less than 4 h, this method shows great promise as a tool for rapidly assessing potential exposures to waterborne pathogenic Candida species from drinking and recreational waters and may have applications in the detection of fecal pollution.

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Year:  2003        PMID: 12620869      PMCID: PMC150045          DOI: 10.1128/AEM.69.3.1775-1782.2003

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  28 in total

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Authors:  R A Haugland; J L Heckman
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9.  Identification and phylogeny of ascomycetous yeasts from analysis of nuclear large subunit (26S) ribosomal DNA partial sequences.

Authors:  C P Kurtzman; C J Robnett
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10.  Microbiological quality of recreational waters in Araraquara, SP, Brazil.

Authors:  D P Falcão; C Q Leite; M J Simões; M J Giannini; S R Valentini
Journal:  Sci Total Environ       Date:  1993-01-15       Impact factor: 7.963

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  33 in total

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Authors:  Torben L Skovhus; Niels B Ramsing; Carola Holmström; Staffan Kjelleberg; Ingela Dahllöf
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4.  Prochlorococcus ecotype abundances in the North Atlantic Ocean as revealed by an improved quantitative PCR method.

Authors:  Erik R Zinser; Allison Coe; Zackary I Johnson; Adam C Martiny; Nicholas J Fuller; David J Scanlan; Sallie W Chisholm
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Authors:  Stephen J Vesper; Craig McKinstry; Richard A Haugland; Yulia Iossifova; Grace Lemasters; Linda Levin; Gurjit K Khurana Hershey; Manuel Villareal; David I Bernstein; James Lockey; Tiina Reponen
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6.  Analysis of fungal flora in indoor dust by ribosomal DNA sequence analysis, quantitative PCR, and culture.

Authors:  M Pitkäranta; T Meklin; A Hyvärinen; L Paulin; P Auvinen; A Nevalainen; H Rintala
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7.  Comparison of mold concentrations quantified by MSQPCR in indoor and outdoor air sampled simultaneously.

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Journal:  Sci Total Environ       Date:  2007-04-30       Impact factor: 7.963

8.  Correlation between ERMI values and other moisture and mold assessments of homes in the American Healthy Homes Survey.

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9.  Influence of environmental gradients on the abundance and distribution of Mycobacterium spp. in a coastal lagoon estuary.

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Journal:  Appl Environ Microbiol       Date:  2009-10-02       Impact factor: 4.792

10.  Real-time PCR assay for detection and enumeration of Dekkera bruxellensis in wine.

Authors:  Trevor G Phister; David A Mills
Journal:  Appl Environ Microbiol       Date:  2003-12       Impact factor: 4.792

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