c Whole-genome next-generation sequencing (NGS) was used to retrospectively examine 57 isolates from five epidemiologically confirmed community outbreaks (numbered 1 to 5) caused by Salmonella enterica serovar Typhimurium phage type DT170. Most of the human and environmental isolates confirmed epidemiologically to be involved in the outbreaks were either genomically identical or differed by one or two single nucleotide polymorphisms (SNPs), with the exception of those in outbreak 1. The isolates from outbreak 1 differed by up to 12 SNPs, which suggests that the food source of the outbreak was contaminated with more than one strain while each of the other four outbreaks was caused by a single strain. In addition, NGS analysis ruled in isolates that were initially not considered to be linked with the outbreak, which increased the total outbreak size by 107%. The mutation process was modeled by using known mutation rates to derive a cutoff value for the number of SNP difference to determine whether or not a case was part of an outbreak. For an outbreak with less than 1 month of ex vivo/in vivo evolution time, the maximum number of SNP differences between isolates is two or four using the lowest or highest mutation rate, respectively. NGS of S. Typhimurium significantly increases the resolution of investigations of community outbreaks. It can also inform a more targeted public health response by providing important supplementary evidence that cases of disease are or are not associated with food-borne outbreaks of S. Typhimurium.
Salmonella enterica serovar Typhimurium is the most common serovar isolated from humans and animals in Australia. Traditionally, surveillance and outbreak investigations of S. Typhimurium rely upon phage typing, which is based on the susceptibility of isolates to a set of bacteriophages. Phage type DT170 has been increasing steadily over the last decade in Australia and became the most frequent phage type in 2004. Therefore, phage typing has limited resolution for outbreak detection. More recently, multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) has been adopted in public health reference laboratories across Australia for epidemiological typing because of its relatively high discriminatory power and ability to be harmonized (1). MLVA has also been used as a standardized method for outbreak detection in Europe (2, 3).In New South Wales (NSW), Australia, all Salmonella isolates from public and private pathology providers are routinely referred to the NSW Enteric Reference Laboratory, Institute for Clinical Pathology and Medical Research (ICPMR), Westmead Hospital, for serotyping and MLVA typing using five VNTR loci (MLVA-5) (1). Prospective MLVA typing of S. Typhimurium has been useful for identifying outbreak clusters (1). In our current practice, recovery of five or more geographically clustered isolates of the same MLVA profile from patients with diarrhea within a 4-week period (cases in the same household are counted as one episode) signals that an outbreak has occurred and...