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Phylogenetic structure of Salmonella Enteritidis provides context for a foodborne outbreak in Peru

ABSTRACT: Salmonella Enteritidis, an important foodborne zoonosis, has a dramatically increased number of cases around the world. To explore the phylogenetic structure of Peruvian Salmonella Enteritidis strains and their relationship with an outbreak occurred in 2018, we analyzed a comprehensive strains of S. Enteritidis received by the National Institute of Health during the period 2000–2018. A total of 180 strains were characterized by microbiological procedures, serotyping and whole genome sequencing. Based on genome sequences annotated, virulence factors and accessory genes were identified. Phylogenetic and population structure analysis were also analyzed based on SNPs. The phylogenetic analysis grouped the genomes into two well-supported clades that were consistent with population structure analysis. The clinical and food strains corresponding to the outbreak were included in the same cluster, which presented the sdhA gene, related to the increase of the virulence of this pathogen. The phylogenetic relationship of Peruvian S. Enteritidis suggests the presence of four S. enteritidis population with high epidemiological importance.

SUBMITTER: Quino W

PROVIDER: S-EPMC7745040 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Project description:A large European multi-country Salmonella enterica serovar Enteritidis outbreak associated with Polish eggs was characterized by whole-genome sequencing (WGS)-based analysis, with various European institutes using different analysis workflows to identify isolates potentially related to the outbreak. The objective of our study was to compare the output of six of these different typing workflows (distance matrices of either SNP-based or allele-based workflows) in terms of cluster detection and concordance. To this end, we analysed a set of 180 isolates coming from confirmed and probable outbreak cases, which were representative of the genetic variation within the outbreak, supplemented with 22 unrelated contemporaneous S. enterica serovar Enteritidis isolates. Since the definition of a cluster cut-off based on genetic distance requires prior knowledge on the evolutionary processes that govern the bacterial populations in question, we used a variety of hierarchical clustering methods (single, average and complete) and selected the optimal number of clusters based on the consensus of the silhouette, Dunn2, and McClain-Rao internal validation indices. External validation was done by calculating the concordance with the WGS-based case definition (SNP-address) for this outbreak using the Fowlkes-Mallows index. Our analysis indicates that with complete-linkage hierarchical clustering combined with the optimal number of clusters, as defined by three internal validity indices, the six different allele- and SNP-based typing workflows generate clusters with similar compositions. Furthermore, we show that even in the absence of coordinated typing procedures, but by using an unsupervised machine learning methodology for cluster delineation, the various workflows that are currently in use by six European public-health authorities can identify concordant clusters of genetically related S. enterica serovar Enteritidis isolates; thus, providing public-health researchers with comparable tools for detection of infectious-disease outbreaks.

Project description:Phage typing has been used for decades as a rapid, low cost approach for the epidemiological surveillance of Salmonella enterica subsp. enterica serovar Typhimurium. Although molecular methods are replacing phage typing the system is still in use and provides a valuable model for study of phage-host interaction. Phage typing depends on the pattern of bacterial resistance or sensitivity to a panel of specific bacteriophages. In the phage typing scheme, S. Typhimurium definitive phage types (DT) 8 and 30 differ greatly in their susceptibility to the 30 typing phages of S. Typhimurium; DT8 is susceptible to 11 phages whereas DT30 is resistant to all typing phages except one phage although both DT8 and DT30 were reported to be associated with a single foodborne salmonellosis outbreak in Ireland between 2009 and 2011. We wished to study the genomic correlates of the DT8 and DT30 difference in phage susceptibility using the whole genome sequence (WGS) of S. Typhimurium DT8 and DT30 representatives.Comparative genome analysis revealed that both S. Typhimurium DT8 and DT30 are lysogenic for three prophages including two S. Typhimurium associated prophages (Gifsy-2 and ST64B) and one S. Enteritidis associated prophage (Enteritidis lysogenic phage S) which has not been detected previously in S. Typhimurium. Furthermore, DT8 and DT30 contain identical clustered regularly interspaced short palindromic repeats (CRISPRs). Interestingly, S. Typhimurium DT8 harbours an accessory genome represented by a virulence plasmid that is highly related to the pSLT plasmid of S. Typhimurium strain LT2 (phage typed as DT4) and codes a unique methyltransferase (MTase); M.EcoGIX related MTase. This plasmid is not detected in DT30. On the other hand, DT30 carries a unique genomic island similar to the integrative and conjugative element (ICE) of Enterotoxigenic Escherichia coli (ETEC) and encodes type IV secretion pathway system (T4SS) and several hypothetical proteins. This genomic island is not detected in DT8.We suggest that differences in phage susceptibility between DT8 and DT30 may be related to acquisition of ICE in DT30 and loss of pSLT like plasmid that might be associated with DT30 resistance to almost all phages used in the typing scheme. Additional studies are required to determine the significance of the differences among DT8 and DT30 in relation to the difference in phage susceptibility. This study represents an initial step toward understanding the molecular basis of this host-phage relationship.

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Phylogenetic structure of Salmonella Enteritidis provides context for a foodborne outbreak in Peru

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