Phylogenomic Analysis of Salmonella enterica subsp. enterica Serovar Bovismorbificans from Clinical and Food Samples Using Whole Genome Wide Core Genes and kmer Binning Methods to Identify Two Distinct Polyphyletic Genome Pathotypes

• Published in: Microorganisms (Basel) Vol. 10; no. 6; p. 1199
• Main Authors: Gopinath, Gopal R, Jang, Hyein, Beaubrun, Junia Jean-Gilles, Gangiredla, Jayanthi, Mammel, Mark K, Müller, Andrea, Tamber, Sandeep, Patel, Isha R, Ewing, Laura, Weinstein, Leah M, Wang, Caroline Z, Finkelstein, Samantha, Negrete, Flavia, Muruvanda, Tim, Allard, Marc, Sockett, Donald C, Pagotto, Franco, Tall, Ben D, Stephan, Roger
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.06.2022; MDPI
• Subjects: Annotations; Antimicrobial resistance; Dairy industry; Data mining; Datasets; Divergence; Evolution; Food; Food contamination & poisoning; Food safety; Food supply; Foodborne diseases; Gene sequencing; Genes; Genomes; Genomic analysis; Genomics; Hummus; Identification methods; Meat; Meat products; Pathogenesis; Pathogens; phages; phylogenomics; plasmids; Quality control; Salmonella; Salmonella Bovismorbificans; Salmonella enterica; Strains (organisms); Tiling; Virulence; Virulence factors; Whole genome sequencing; Canada; United States > US; Switzerland; Europe; Salmonella Bovismorbificans; phages; plasmids; phylogenomics; virulence factors
• ISSN: 2076-2607; 2076-2607
• DOI: 10.3390/microorganisms10061199

Salmonella enterica subsp. enterica serovar Bovismorbificans has caused multiple outbreaks involving the consumption of produce, hummus, and processed meat products worldwide. To elucidate the intra-serovar genomic structure of S. Bovismorbificans, a core-genome analysis with 2690 loci (based on 150 complete genomes representing Salmonella enterica serovars developed as part of this study) and a k-mer-binning based strategy were carried out on 95 whole genome sequencing (WGS) assemblies from Swiss, Canadian, and USA collections of S. Bovismorbificans strains from foodborne infections. Data mining of a digital DNA tiling array of legacy SARA and SARB strains was conducted to identify near-neighbors of S. Bovismorbificans. The core genome analysis and the k-mer-binning methods identified two polyphyletic clusters, each with emerging evolutionary properties. Four STs (2640, 142, 1499, and 377), which constituted the majority of the publicly available WGS datasets from >260 strains analyzed by k-mer-binning based strategy, contained a conserved core genome backbone with a different evolutionary lineage as compared to strains comprising the other cluster (ST150). In addition, the assortment of genotypic features contributing to pathogenesis and persistence, such as antimicrobial resistance, prophage, plasmid, and virulence factor genes, were assessed to understand the emerging characteristics of this serovar that are relevant clinically and for food safety concerns. The phylogenomic profiling of polyphyletic S. Bovismorbificans in this study corresponds to intra-serovar variations observed in S. Napoli and S. Newport serovars using similar high-resolution genomic profiling approaches and contributes to the understanding of the evolution and sequence divergence of foodborne Salmonellae. These intra-serovar differences may have to be thoroughly understood for the accurate classification of foodborne Salmonella strains needed for the uniform development of future food safety mitigation strategies.