Literature DB >> 16730821

Comparison of most probable number-PCR and most probable number-foci detection method for quantifying infectious Cryptosporidium parvum oocysts in environmental samples.

Christine M Carey1, Hung Lee, Jack T Trevors.   

Abstract

Microbial contamination of public water supplies is of significant concern, as numerous outbreaks, including Cryptosporidium, have been reported worldwide. Detection and enumeration of Cryptosporidium parvum oocysts in water supplies is important for the prevention of future cryptosporidiosis outbreaks. In addition to not identifying the oocyst species, the U.S. EPA Method 1622 does not provide information on oocyst viability or infectivity. As such, current detection strategies have been coupled with in vitro culture methods to assess oocyst infectivity. In this study, a most probable number (MPN) method was coupled with PCR (MPN-PCR) to quantify the number of infectious oocysts recovered from seeded raw water concentrates. The frequency of positive MPN-PCR results decreased as the oocyst numbers decreased. Similar results were observed when MPN was coupled to the foci detection method (MPN-FDM), which was done for comparison. For both methods, infectious oocysts were not detected below 10(3) seeded oocysts and the MPN-PCR and MPN-FDM estimates for each seed dose were generally within one-log unit of directly enumerated foci of infection. MPN-PCR estimates were 0.25, 0.54, 0 and 0.66 log(10) units higher than MPN-FDM estimates for the positive control, 10(5), 10(4) and 10(3) seed doses, respectively. The results show the MPN-PCR was the better method for the detection of infectious C. parvum oocysts in environmental water samples.

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Year:  2006        PMID: 16730821     DOI: 10.1016/j.mimet.2006.04.007

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  3 in total

1.  Theoretical design and analysis of multivolume digital assays with wide dynamic range validated experimentally with microfluidic digital PCR.

Authors:  Jason E Kreutz; Todd Munson; Toan Huynh; Feng Shen; Wenbin Du; Rustem F Ismagilov
Journal:  Anal Chem       Date:  2011-10-07       Impact factor: 6.986

2.  Improved risk analysis by dual direct detection of total and infectious Cryptosporidium oocysts on cell culture in combination with immunofluorescence assay.

Authors:  Cindy Lalancette; George D Di Giovanni; Michèle Prévost
Journal:  Appl Environ Microbiol       Date:  2009-11-20       Impact factor: 4.792

Review 3.  Detection of Cryptosporidium spp. and Giardia spp. in Environmental Water Samples: A Journey into the Past and New Perspectives.

Authors:  Marie-Stéphanie Fradette; Alexander I Culley; Steve J Charette
Journal:  Microorganisms       Date:  2022-06-07
  3 in total

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