Retrospective use of whole genome sequencing to better understand an outbreak of Salmonella enterica serovar Mbandaka in New South Wales, Australia

Prevalence and whole-genome sequencing analysis of Salmonella reveal its spread along the duck production chain

Salmonella is the most important foodborne pathogen in poultry production systems and can infect humans via consumption of contaminated food. Ducks, an important waterfowl widely raised in China, are also a vehicle that transmits Salmonella through the food supply chain. In this study, 701 samples were collected from each production stage of the duck production chain. Salmonella was isolated and identified, and the isolates were tested for drug sensitivity and molecular typing based on whole genome sequencing (WGS) to explore the prevalence of Salmonella in the duck production chain. Altogether, a total of 180 Salmonella isolates (25.7%) were obtained from the duck production chain, 82 (35.7%) isolates were from hatchery samples, followed by 64 (29.2%) from market samples, 17 (23.6%) from farm samples, and 17 (9.4%) from slaughterhouse samples. All isolates were divided into 9 serotypes, among which S. Typhimurium, S. Anatum, and S. Enteritidis were the dominant serotypes. The S. Typhimurium was distributed in various production stages in the duck production chain. Among the 16 antibiotics, selected 60 isolates were only resistant to NAL, indicating that resistance of Salmonella in the duck production chain was low. WGS phylogenetic relationship results based on core-genome SNPs showed that S. Typhimurium can spread across geographic regions and along between different stages of the duck production chain, eventually reaching the market where it is a potential threat to consumer health. This study explored the prevalence of Salmonella in the duck production chain which will provide data support for proposing some interventions to control Salmonella.

Tracking Salmonella enterica by whole genome sequencing of isolates recovered from broiler chickens in a poultry production system

Salmonella enterica is a major cause of foodborne diseases, and is also an important pathogenic bacterium in poultry industry. Whole genome sequencing (WGS) has become a crucial molecular typing technology used for the surveillance of the pathogenic bacteria. In the present study, we adopted WGS for tracking transmission of S. enterica in the production chain of broiler chickens. A total of 74 S. enterica strains were isolated from the different steps of breeding and slaughtering in a large production enterprise in Sichuan Province, China. The isolation rate of Salmonella was the highest in procedure of defeathering (50.0%) and evisceration (36.7%). Serotype identification showed that 74 Salmonella isolates included 7 serotypes, among which Mbandaka accounted for the highest proportions (35.1%). WGS revealed that 74 strains belonged to 7 different sequence types (STs), as well as 7 different ribosomal STs and 35 core genome STs. cgMLST-based Minimum Spanning Trees and phylogenetic tree based on the SNPs indicated that three serotypes, Mbandaka, Indiana and Kentucky, could be clonally transmitted between broiler farm and slaughterhouse. Heterogeneous resistant phenotypes and genotypes were found in two serotypes, Indiana and Kentucky. Our study indicated WGS in an accurate tool for molecular typing of S. enterica. Routine surveillance of S. enterica in the production chain of broiler chickens is needed.