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Authors: Hoffmann, Maria and Luo, Yan and Monday, Steven R and Gonzalez-Escalona, Narjol and Ottesen, Andrea R and Muruvanda, Tim and Wang, Charles and Kastanis, George and Keys, Christine and Janies, Daniel and Senturk, Izzet F and Catalyurek, Umit V and Wang, Hua and Hammack, Thomas S and Wolfgang, William J and Schoonmaker-Bopp, Dianna and Chu, Alvina and Myers, Robert and Haendiges, Julie and Evans, Peter S and Meng, Jianghong and Strain, Errol A and Allard, Marc W and Brown, Eric W

Using a novel combination of whole-genome sequencing (WGS) analysis and geographic metadata, we traced the origins of Salmonella Bareilly isolates collected in 2012 during a widespread food-borne outbreak in the United States associated with scraped tuna imported from India.Using next-generation sequencing, we sequenced the complete genome of 100 Salmonella Bareilly isolates obtained from patients who consumed contaminated product, from natural sources, and from unrelated historically and geographically disparate foods. Pathogen genomes were linked to geography by projecting the phylogeny on a virtual globe and produced a transmission network.Phylogenetic analysis of WGS data revealed a common origin for outbreak strains, indicating that patients in Maryland and New York were infected from sources originating at a facility in India.These data represent the first report fully integrating WGS analysis with geographic mapping and a novel use of transmission networks. Results showed that WGS vastly improves our ability to delimit the scope and source of bacterial food-borne contamination events. Furthermore, these findings reinforce the extraordinary utility that WGS brings to global outbreak investigation as a greatly enhanced approach to protecting the human food supply chain as well as public health in general. Published by Oxford University Press for the Infectious Diseases Society of America 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Journal: The Journal of infectious diseases
DOI: 10.1093/infdis/jiv297
Year: 2016

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