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© Institut Pasteur/Antoinette Ryter
Salmonella spp. Bactéries à Gram négatif, aérobies ou anaérobies facultatifs à transmission orofécale. Les salmonelles majeures (sérotype typhi et sérotype paratyphi) sont responsables des fièvres typhoïde et paratyphoïde chez l'homme uniquement ; les salmonelles mineures (sérotype typhimurium et sérotype enteritidis) sont impliquées dans 30 à 60 % des gastroentérites et toxiinfections d'origine alimentaire. Image colorisée.
Publication : Foodborne pathogens and disease

Pulsed-field gel electrophoresis subtyping database for foodborne Salmonella enterica serotype discrimination

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Foodborne pathogens and disease - 01 Jan 2007

Kérouanton A, Marault M, Lailler R, Weill FX, Feurer C, Espié E, Brisabois A

Link to Pubmed [PMID] – 17883313

Foodborne Pathog. Dis. 2007;4(3):293-303

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.