Genome Sequence of Salmonella enterica Serotype Tennessee Strain CDC07-0191, Implicated in the 2006-2007 Multistate Food-Borne Outbreak Linked to Peanut Butter in the United States

Deng, Xiangyu; Salazar, Joelle K.; Frezet, Stephanie; MacCannell, Duncan; Ribot, Efrain M.; Fricke, W. Florian; Zhang, Wei

doi:10.1128/genomea.00260-13

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The 2014 outbreak exemplifies the public health challenges posed by multi-national disease outbreaks ( Chatt et al, 2017 ; Deng et al, 2013 ; Kinross et al, 2014 ) that are a consequence of the widespread trade of food and other goods across borders ( van Belkum et al, 2007 ). Such outbreaks present difficulties in their detection, description, and resolution, as most disease surveillance occurs at the national level ( van Belkum et al, 2007 ), which makes the uniform characterisation of disease-associated isolates in different jurisdictions essential.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of core genome MLST and SNP typing within a European Salmonella serovar Enteritidis outbreak

Pearce

Alikhan

Dallman

et al. 2018

International Journal of Food Microbiology

146

123

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Multi-country outbreaks of foodborne bacterial disease present challenges in their detection, tracking, and notification. As food is increasingly distributed across borders, such outbreaks are becoming more common. This increases the need for high-resolution, accessible, and replicable isolate typing schemes. Here we evaluate a core genome multilocus typing (cgMLST) scheme for the high-resolution reproducible typing of Salmonella enterica (S. enterica) isolates, by its application to a large European outbreak of S. enterica serovar Enteritidis. This outbreak had been extensively characterised using single nucleotide polymorphism (SNP)-based approaches. The cgMLST analysis was congruent with the original SNP-based analysis, the epidemiological data, and whole genome MLST (wgMLST) analysis. Combination of the cgMLST and epidemiological data confirmed that the genetic diversity among the isolates predated the outbreak, and was likely present at the infection source. There was consequently no link between country of isolation and genetic diversity, but the cgMLST clusters were congruent with date of isolation. Furthermore, comparison with publicly available Enteritidis isolate data demonstrated that the cgMLST scheme presented is highly scalable, enabling outbreaks to be contextualised within the Salmonella genus. The cgMLST scheme is therefore shown to be a standardised and scalable typing method, which allows Salmonella outbreaks to be analysed and compared across laboratories and jurisdictions.

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Section: Introductionmentioning

confidence: 99%

Comparative analysis of core genome MLST and SNP typing within a European Salmonella serovar Enteritidis outbreak

Pearce

Alikhan

Dallman

et al. 2018

International Journal of Food Microbiology

146

123

View full text Add to dashboard Cite

show abstract

“…Other outbreaks were associated with peanut-containing snacks in Israel and North American (Killalea et al, 1996) and Asian-style peanuts still in their shell (Kirk et al, 2004). From 2006 to 2007, Salmonella Tennessee in peanut butter was responsible for a major food-borne disease outbreak in the United States (Deng et al, 2013;MMWR, 2007). An epidemiological study identified 715 cases from 48 states, resulting in 93 hospitalizations (Sheth et al, 2011).…”

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confidence: 99%