Quantitative Detection of Legionella pneumophila in Water Samples by Immunomagnetic Purification and Real-Time PCR Amplification of the dotA Gene

ABSTRACT A new real-time PCR assay was developed and validated in combination with an immunomagnetic separation system for the quantitative determination of Legionella pneumophila in water samples. Primers that amplify simultaneously an 80-bp fragment of the dotA gene from L. pneumophila and a recombinant fragment including a specific sequence of the gyrB gene from Aeromonas hydrophila, added as an internal positive control, were used. The specificity, limit of detection, limit of quantification, repetitivity, reproducibility, and accuracy of the method were calculated, and the values obtained confirmed the applicability of the method for the quantitative detection of L. pneumophila. Moreover, the efficiency of immunomagnetic separation in the recovery of L. pneumophila from different kinds of water was evaluated. The recovery rates decreased as the water contamination increased (ranging from 59.9% for distilled water to 36% for cooling tower water), and the reproducibility also decreased in parallel to water complexity. The feasibility of the method was evaluated by cell culture and real-time PCR analysis of 60 samples in parallel. All the samples found to be positive by cell culture were also positive by real-time PCR, while only eight samples were found to be positive only by PCR. Finally, the correlation of both methods showed that the number of cells calculated by PCR was 20-fold higher than the culture values. In conclusion, the real-time PCR method combined with immunomagnetic separation provides a sensitive, specific, and accurate method for the rapid quantification of L. pneumophila in water samples. However, the recovery efficiency of immunomagnetic separation should be considered in complex samples.

• Publication year

  2005

• Venue

  Applied and Environmental Microbiology

• Publication date

  2005-07-01

• Fields of study

  Biology, Medicine, Environmental Science

• Identifiers
  DOI 10.1128/AEM.71.7.3433-3441.2005PMID 16000746PMCID PMC1169023
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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