Abstract

In Africa, the burden of illness caused by non-typhoidal Salmonella enterica is disproportionally high; however, whole-genome sequencing (WGS) efforts are overwhelmingly concentrated in world regions with lower burdens. While WGS is being increasingly employed in South Africa to characterize Salmonella enterica, the bulk of these efforts have centered on characterizing human clinical strains. Thus, very little is known about lineages circulating among animals in the country on a genomic scale. Here, we used WGS to characterize 63 Salmonella enterica strains isolated from livestock, companion animals, wildlife, and animal products in South Africa over a 60-year period. Genomes were assigned to serotypes Dublin, Hadar, Enteritidis, and Typhimurium (n = 18, 8, 13, and 24 strains, respectively) and sequence types (STs) ST10 (all S. Dublin), ST33 (all S. Hadar), ST11/ST366 (n = 12 and 1 S. Enteritidis, respectively), and ST19/ST34 (n = 23 and 1 S. Typhimurium, respectively; via seven-gene multi-locus sequence typing). Within-ST phylogenies were constructed using genomes sequenced in this study, plus publicly available genomes representative of each ST’s (i) global (n = 2,802 and 1,569 S. Dublin and Hadar genomes, respectively) and (ii) African (n = 716 and 343 S. Enteritidis and Typhimurium genomes, respectively) population. For S. Dublin ST10, a largely antimicrobial-susceptible, endemic lineage circulating among humans, animals, and food in South Africa was identified, as well as a lineage that was likely recently introduced from the United States. For S. Hadar ST33, multiple South African lineages harboring streptomycin and tetracycline resistance-conferring genes were identified. African S. Enteritidis ST11 could be primarily partitioned into one largely antimicrobial-susceptible and one largely multidrug-resistant (MDR) clade, with South African isolates confined to the largely antimicrobial-susceptible clade. S. Typhimurium ST19/ST34 strains sequenced here were distributed across the African S. Typhimurium ST19/ST34 phylogeny, representing a diverse range of lineages, including numerous MDR lineages. Overall, this study provides critical insights into endemic and ecdemic non-typhoidal Salmonella enterica lineages circulating among animals, foods, and humans in South Africa and showcases the utility of WGS in characterizing animal-associated strains from a world region with a high salmonellosis burden.

Highlights

  • Livestock, domestic animals, and wildlife can serve as potential reservoirs for non-typhoidal Salmonella enterica (Hoelzer et al, 2011; World Health Organization, 2018)

  • A total of 63 Salmonella enterica strains were isolated from animals and animal products in South Africa and underwent wholegenome sequencing (WGS) (Supplementary Table 1)

  • All isolates underwent in silico serotyping using both (i) Salmonella In Silico Typing Resource (SISTR) and (ii) SeqSero2 (Supplementary Table 1); serotypes assigned using both methods were identical for all isolates (63 of 63 isolates, 100%; Supplementary Table 1)

Read more

Summary

Introduction

Domestic animals, and wildlife can serve as potential reservoirs for non-typhoidal Salmonella enterica (Hoelzer et al, 2011; World Health Organization, 2018). There has been growing concern that Salmonella enterica can acquire antimicrobial resistance (AMR) determinants in livestock environments, which can make infections in humans and animals more difficult and costly to treat (World Health Organization, 2014; Centers for Disease Control and Prevention, 2019) To this end, wholegenome sequencing (WGS) is being increasingly employed to characterize Salmonella enterica from animals (e.g., livestock, companion animals, and wildlife) and animal products, as WGS can replicate many important microbiological assays in silico (e.g., prediction of serotype, AMR), but provide additional data that can be used to characterize isolates (e.g., identification of genome-wide single nucleotide polymorphisms [SNPs], core- and whole-genome multi-locus sequence typing [MLST], pan-genome characterization) (Yoshida et al, 2016; Ibrahim and Morin, 2018; Carroll, 2019; Zhang et al, 2019)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call