Digital PCR for Detection and Quantification of Fluoroquinolone Resistance in Legionella pneumophila

The emergence of fluoroquinolone (FQ)-resistant mutants ofLegionella pneumophila in infected humans was previously reported using a next-generation DNA sequencing (NGS) approach. This finding could explain part of the therapeutic failures observed in legionellosis patients treated with these antibiotics. The aim of this study was to develop digital PCR (dPCR) assays allowing rapid and accurate detection and quantification of these resistant mutants in respiratory samples, especially when the proportion of mutants in a wild-type background is low. We designed three dPCRgyrA assays to detect and differentiate the wild-type and one of the threegyrA mutations previously described as associated with FQ resistance inL. pneumophila : at positions 248C→T (T83I), 259G→A (D87N), and 259G→C (D87H). To assess the performance of these assays, mixtures of FQ-resistant and -susceptible strains ofL. pneumophila were analyzed, and the results were compared with those obtained with Sanger DNA sequencing and real-time quantitative PCR (qPCR) technologies. The dPCRgyrA assays were able to detect mutatedgyrA sequences in the presence of wild-type sequences at up to 1:1,000 resistant/susceptible allele ratios. By comparison, Sanger DNA sequencing and qPCR were less sensitive, allowing the detection ofgyrA mutants at up to 1:1 and 1:10 ratios, respectively. When testing 38 respiratory samples from 23 legionellosis patients (69.6% treated with an FQ), dPCRgyrA detected small amounts ofgyrA mutants in four (10.5%) samples from three (13.0%) patients. These results demonstrate that dPCR is a highly sensitive alternative to quantify FQ resistance inL. pneumophila , and it could be used in clinical practice to detect patients that could be at higher risk of therapeutic failure.