Sensitive, real-time PCR detects low-levels of contamination by Legionella pneumophila in commercial reagents
Introduction
Real-time PCR, a rapid and quantitative method, is increasingly popular in microbial pathogen detection from environmental and clinical samples. While the detection limit can be as low as one genome, DNA contamination presents a potential obstacle to achieving this low detection limit. For example, contamination in genomic DNA preparations causing false positives using conventional PCR methods has confounded clinical bacterial detection as well as culture-independent microbial surveys of environmental samples [1], [2]. In the application of real-time PCR, water and reagents contaminated with trace amounts of DNA have even greater potential for artifacts, due to the greater sensitivity of real-time PCR detection.
Several groups have described real-time PCR assays for the detection of L. pneumophila [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] and some reported detection limits to be as low as 2.5 CFU or 3–10 genomes per reaction [3], [6], [9] all using fluorescently labeled hybridization probes in conjunction with the LightCycler system (ABI).
Our study initially attempted to develop a real-time PCR assay for the detection of L. pneumophila from evaporative cooler waters in Socorro, New Mexico, in the southwestern US, where evaporative coolers are used for air conditioning. Using primers targeting the L. pneumophila-specific mip gene [3], and SYBR Green detection in conjunction with the iCycler iQ real-time PCR detection system (Bio-Rad, Hercules, CA), we could detect as little as 4.8 fg L. pneumophila genomic DNA, equivalent to 1.3 copies of the mip gene, from serially diluted, purified genomic DNA in a total reaction volume of 50 μl. However, the negative controls, i.e. no-template, also yielded cycle threshold (CT) in real-time PCR and DNA product of the appropriate size observed in gel electrophoresis. This low-level contamination persisted when individual reagents in real-time PCR were replaced. Since L. pneumophila can be widespread in municipal water supplies, the commercial reagents, especially the reagent water (80% of the reaction volume), could be the source of contamination. Based on results from exhaustive negative controls, we have traced the contamination to a commercial reagent (water) used in real-time PCR.
Section snippets
Types of water and treatments they received
Two types of commercial reagent waters were used: 1. Sigma water (BioChemika, for molecular biology, Sigma), treatments: deionized from Jersey City water supply, diethylpyrocarbonate (DEPC) was added to inactivate RNase, and autoclaved; 2. Fisher water (W5-1, HPLC grade, Cat. No. 018709, Fisher), treatment: deionized, tested for UV and visible light absorption, and residue evaporation to be no more than 1 ppm. Both types of water were autoclaved after being dispensed into sterile polypropylene
Identification of contamination
Real-time PCR using Sigma water (deionized, DEPC treated, autoclaved), showed a linear correlation between the CT and the copy number (1.3×106–1.3×100) of L. pneumophila genomic DNA, with a sensitivity of 1.3 copies of genome in 50 μl of reaction (A, B, Fig. 1). However, the negative control which contained no template DNA, also showed a CT corresponding to thirteen copies of genome or lower (A, Fig. 1) and DNA product of the appropriate size was detected by gel electrophoresis (C, Fig. 1). In
Discussion and conclusions
Our method can detect 1.3 copies of genome in a 50-μl real-time PCR reaction, similar to the 2.5 CFU/reaction reported by Ballard et al. [3], 10 genomes/reaction by Herpers et al. [9], and 3 genomes/reaction by Wellinghausen et al. [6], all targeting the mip gene. Differing from our detection system that used SYBR Green for DNA detection in conjunction with the iCycler system, however, all these previous studies used fluorescently labeled hybridization probe detection in conjunction with a
Acknowledgements
This work was supported by funding from the Office of Naval Research (Award number N00014-00-1-0699). Completion of this manuscript was supported by funding from the Virginia Water Resource Research Center.
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