Comparison of whole genome sequencing typing results and epidemiological contact information from outbreaks of Salmonella Dublin in Swedish cattle herds. Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Ågren, Estelle C. C.; Wahlström, Helene; Vesterlund-Carlson, Catrin; Lahti, Elina; Melin, Lennart; Söderlund, Robert
• Is Part Of: Infection ecology & epidemiology. Volume 6:Issue 1(2016)
• Publication Date: 2016-01-01
• Subjects: WGS -- NGS -- SNP -- molecular epidemiology -- zoonosis -- Sweden; Zoonoses -- Periodicals; Zoonoses -- Prevention -- Periodicals; Virology -- Periodicals; Bacteriology -- Periodicals; Epidemiology -- Periodicals; Epidemiology -- Periodicals; Bacteriology -- Periodicals; Ecology -- Periodicals; Virology -- Periodicals; Bacteriology; Epidemiology; Virology; Periodicals; 614.56
• DOI: 10.3402/iee.v6.31782
• Languages: English
• ISSNs: 2000-8686

Abstract

Abstract : Background: Whole genome sequencing (WGS) is becoming a routine tool for infectious disease outbreak investigations. The Swedish situation provides an excellent opportunity to test the usefulness of WGS for investigation of outbreaks with Salmonella Dublin ( S . Dublin) as epidemiological investigations are always performed when Salmonella is detected in livestock production, and index isolates from all detected herds are stored and therefore available for analysis. This study was performed to evaluate WGS as a tool in forward and backward tracings from herds infected with S . Dublin. Material and methods: In this study, 28 isolates from 26 cattle herds were analysed and the WGS results were compared with results from the epidemiological investigations, for example, information on contacts between herds. The isolates originated from herds in three different outbreaks separated geographically and to some extent also in time, and from the only region in Sweden where S . Dublin is endemic ( Öland ). Results: The WGS results of isolates from the three non-endemic regions were reliably separated from each other and from the endemic isolates. Within the outbreaks, herds with known epidemiological contacts generally showed smaller differences between isolates as compared to when there were no known epidemiological contacts. Conclusion: The results indicate that WGS can provide valuable supplemental information in S . Dublin outbreak investigations. The resolution of the WGS was sufficient to distinguish isolates from the different outbreaks and provided additional information to the investigations within an outbreak.