Evaluation of inhibition and cross-reaction effects on real-time PCR applied to the total DNA of wastewater samples for the quantification of bacterial antibiotic resistance genes and taxon-specific targets

2007 
Abstract In order to evaluate the applicability of six primer and probe sets for TaqMan real-time RCR on DNA of wastewater samples, effects of the sample matrix and DNA background on target quantification were studied with respect to differences between functional genes and taxonomically used rDNA targets. Primer/probe assays for real-time PCR (TaqMan) designed to quantitatively detect the antibiotic resistance genes bla VIM , van A, amp C, mec A, and taxon-specific 23S rDNA sequences for Pseudomonas aeruginosa and Enterococcus faecium/faecalis were tested for their sensitivity and amplification robustness. The amplification of their gene targets in DNA extracts of wastewater (“wastewater DNA”) and reference strains (“reference DNA”) was compared with their amplification in “model DNA” which was composed of wastewater DNA and reference DNA. Target detection was quantifiable along up to seven decimal orders of magnitude. For the detection of the resistance genes bla VIM , van A, amp C, and mec A as well as the enterococci directed PCR only weak or no inhibition due to the impurities or wastewater DNA matrix were demonstrated for the applied target concentrations. The taxonomically applied detection system for the quantification of P. aeruginosa showed a limited performance. For the analysis of the amplification dynamics of possibly similar nucleotide sequences of organisms related to P. aeruginosa a SYBR Green assay was employed. Competitive amplification of similar sequences was identified to be a major mechanism of reduced sensitivity. Hence, the primers were modified for an optimised detection. With the resulting reduction of cross reactions an increased sensitivity was achieved for the detection and quantification of P. aeruginosa in wastewater DNA.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    31
    References
    53
    Citations
    NaN
    KQI
    []