Search

Aims: To study the diversity and virulence of Listeria monocytogenes isolated from sludge., Methods and Results: A total of 60 isolates of L. monocytogenes from sludge were characterized by serotyping, PFGE typing and using in vitro and in vivo virulence assays. The PFGE patterns were compared with those of food and human isolates to determine whether specific group clones are associated with environmental samples. The 60 isolates gave 44 different combined ApaI/AscI PFGE patterns. The PFGE patterns of most isolates were similar or very similar to those of epidemic isolates. The majority (93%) of isolates were found to be virulent by plaque-forming assay and by mouse virulence assay., Conclusions: Our findings suggest that L. monocytogenes strains found in non-sanitized sludge are virulent and represent a potential health hazard. Although no case of listeriosis related to sludge spread onto agricultural land has been reported, particular attention to this pathogen is needed., Significance and Impact of the Study: This is the first study dealing with the characterization of L. monocytogenes isolates from non-sanitized sludge samples by molecular typing methods and in vitro and in vivo virulence assays. Our findings provide relevant information for evaluating the health risks associated with spreading sludge onto agricultural land.

Nontyphoid Salmonella is one of the main causes of bacterial gastroenteritis worldwide and is responsible for 65% of reported outbreaks of foodborne diseases in France. Serotyping is widely used for isolate preliminary identification, but it poorly discriminates strains. Rapid, efficient molecular subtyping tools have therefore been developed for the investigation of outbreaks. We evaluated the performance of the pulsed-field gel electrophoresis (PFGE) method for discrimination of 31 Salmonella serotypes frequently isolated in France. We set up a genomic database of Salmonella strains isolated from food, animals, the environment, and humans to improve the management of contamination and reactions to foodborne disease outbreaks. We studied 1128 isolates by PFGE, according to the standardized PulseNet protocol. We identified 452 PFGE patterns, 67.5% of which corresponded to a single isolate. The ability of this method to distinguish between isolates was estimated by calculating the Simpson index and the 95% confidence interval. Values obtained ranged between 0.33 (0.11-0.54) to 0.99 (0.96-1.00), depending on serotype. Epidemiological information about isolates was used for analyses of intra- and interserotype diversity results and for determining whether PFGE patterns were linked to the source of the isolate. Clustering analysis of the PFGE patterns obtained confirmed that serotype and PFGE genotype were closely linked. Some PFGE patterns were identified as major patterns, each of these patterns being found in at least 10 isolates. The database generated has already proved its effectiveness in epidemiological investigations in livestock production and foodborne outbreaks.