Literature DB >> 20028440

Application of quantitative reverse-transcription PCR (qRT-PCR) for the determination of the total viable count (TVC) on meat samples.

A Dolan1, C M Burgess, S Fanning, G Duffy.   

Abstract

AIM: To apply a quantitative reverse-transcription PCR (qRT-PCR) method to determine the total viable count (TVC) on meat samples. METHODS AND
RESULTS: Using two sets of primers to target the ribonuclease-P (RNase P) RNA transcripts of Gram-positive and Gram-negative bacteria, standard curves were generated using the LightCycler 2.0 instrument (Roche Diagnostics). RNA standards were extracted from known cell numbers and subsequently converted to cDNA for the construction of standard curves for quantification of the TVC of beef carcass swabs (n = 60) and beef (n = 30), chicken (n = 50) and pork (n = 49) pieces. A high correlation between the standard plate count method and the qRT-PCR was observed for beef swabs (R(2) = 0·93) and beef pieces (R(2) = 0·82). The correlation coefficient for chicken pieces and pork pieces were R(2) = 0·34 and 0·55, respectively. Using beef pieces (n = 13), an interlaboratory study was conducted and each participating laboratory (n = 3) found a reasonable degree of agreement between the cultural method and the PCR method.
CONCLUSIONS: The qRT-PCR assay used in this study can enumerate the total bacteria on beef samples with a high degree of accuracy. SIGNIFICANCE AND IMPACT OF THE STUDY: The qRT-PCR method may have the potential to be applied to various sample types as an alternative rapid method for determining TVCs; however, further validation would be required.
© 2009 The Authors. Journal compilation © 2009 The Society for Applied Microbiology.

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Year:  2009        PMID: 20028440     DOI: 10.1111/j.1365-2672.2009.04636.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  1 in total

1.  A flow cytometric approach to quantify biofilms.

Authors:  Monique Kerstens; Gaëlle Boulet; Marian Van Kerckhoven; Sofie Clais; Ellen Lanckacker; Peter Delputte; Louis Maes; Paul Cos
Journal:  Folia Microbiol (Praha)       Date:  2015-05-07       Impact factor: 2.099

  1 in total

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