Retrospective use of Whole Genome Sequencing to better understand an outbreak of Salmonella Mbandaka in New South Wales, Australia.
DOI:
https://doi.org/10.5365/wpsar.v9i2.581Abstract
Introduction: Salmonella Mbandaka is an infrequent cause of salmonellosis in New South Wales (NSW), with an average of 17 cases reported annually. This study examined the added value of Whole Genome Sequencing (WGS) for investigating a non-point source outbreak of S. Mbandaka with limited geographical spread.
Methods: In February 2016, an increase in S. Mbandaka was noted in New South Wales, and an investigation was initiated. A WGS study was conducted three months after the initial investigation, analysing the outbreak S. Mbandaka isolates along with 17 human and non-human reference strains from 2010-2015.
Results: WGS analysis distinguished the original outbreak cases (n=29) into two main clusters; Cluster A (n=11) and Cluster B (n=6), and 12 sporadic cases. Reanalysis of case food histories by WGS cluster provided additional specificity when assessing associations.
Discussion: WGS has been widely acknowledged as a promising high-resolution typing tool for enteric pathogens. This study was one of the first to apply WGS to a geographically limited cluster of Salmonellosis in Australia. WGS clearly distinguished the outbreak cases into distinct clusters demonstrating its potential value for use in real time to support non-point source foodborne disease outbreaks of limited geographical spread.
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