Assessment of plasmids for relating the 2020 Salmonella enterica serovar Newport onion outbreak to farms implicated by the outbreak investigation.

Mobilome Molecular epidemiology Pangenome Plasmid Salmonella enterica Salmonella enterica Newport Source tracking

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
04 Apr 2023
Historique:
received: 14 10 2022
accepted: 13 03 2023
medline: 6 4 2023
entrez: 4 4 2023
pubmed: 5 4 2023
Statut: epublish

Résumé

The Salmonella enterica serovar Newport red onion outbreak of 2020 was the largest foodborne outbreak of Salmonella in over a decade. The epidemiological investigation suggested two farms as the likely source of contamination. However, single nucleotide polymorphism (SNP) analysis of the whole genome sequencing data showed that none of the Salmonella isolates collected from the farm regions were linked to the clinical isolates-preventing the use of phylogenetics in source identification. Here, we explored an alternative method for analyzing the whole genome sequencing data driven by the hypothesis that if the outbreak strain had come from the farm regions, then the clinical isolates would disproportionately contain plasmids found in isolates from the farm regions due to horizontal transfer. SNP analysis confirmed that the clinical isolates formed a single, nearly-clonal clade with evidence for ancestry in California going back a decade. The clinical clade had a large core genome (4,399 genes) and a large and sparsely distributed accessory genome (2,577 genes, at least 64% on plasmids). At least 20 plasmid types occurred in the clinical clade, more than were found in the literature for Salmonella Newport. A small number of plasmids, 14 from 13 clinical isolates and 17 from 8 farm isolates, were found to be highly similar (> 95% identical)-indicating they might be related by horizontal transfer. Phylogenetic analysis was unable to determine the geographic origin, isolation source, or time of transfer of the plasmids, likely due to their promiscuous and transient nature. However, our resampling analysis suggested that observing a similar number and combination of highly similar plasmids in random samples of environmental Salmonella enterica within the NCBI Pathogen Detection database was unlikely, supporting a connection between the outbreak strain and the farms implicated by the epidemiological investigation. Horizontally transferred plasmids provided evidence for a connection between clinical isolates and the farms implicated as the source of the outbreak. Our case study suggests that such analyses might add a new dimension to source tracking investigations, but highlights the need for detailed and accurate metadata, more extensive environmental sampling, and a better understanding of plasmid molecular evolution.

Sections du résumé

BACKGROUND BACKGROUND
The Salmonella enterica serovar Newport red onion outbreak of 2020 was the largest foodborne outbreak of Salmonella in over a decade. The epidemiological investigation suggested two farms as the likely source of contamination. However, single nucleotide polymorphism (SNP) analysis of the whole genome sequencing data showed that none of the Salmonella isolates collected from the farm regions were linked to the clinical isolates-preventing the use of phylogenetics in source identification. Here, we explored an alternative method for analyzing the whole genome sequencing data driven by the hypothesis that if the outbreak strain had come from the farm regions, then the clinical isolates would disproportionately contain plasmids found in isolates from the farm regions due to horizontal transfer.
RESULTS RESULTS
SNP analysis confirmed that the clinical isolates formed a single, nearly-clonal clade with evidence for ancestry in California going back a decade. The clinical clade had a large core genome (4,399 genes) and a large and sparsely distributed accessory genome (2,577 genes, at least 64% on plasmids). At least 20 plasmid types occurred in the clinical clade, more than were found in the literature for Salmonella Newport. A small number of plasmids, 14 from 13 clinical isolates and 17 from 8 farm isolates, were found to be highly similar (> 95% identical)-indicating they might be related by horizontal transfer. Phylogenetic analysis was unable to determine the geographic origin, isolation source, or time of transfer of the plasmids, likely due to their promiscuous and transient nature. However, our resampling analysis suggested that observing a similar number and combination of highly similar plasmids in random samples of environmental Salmonella enterica within the NCBI Pathogen Detection database was unlikely, supporting a connection between the outbreak strain and the farms implicated by the epidemiological investigation.
CONCLUSION CONCLUSIONS
Horizontally transferred plasmids provided evidence for a connection between clinical isolates and the farms implicated as the source of the outbreak. Our case study suggests that such analyses might add a new dimension to source tracking investigations, but highlights the need for detailed and accurate metadata, more extensive environmental sampling, and a better understanding of plasmid molecular evolution.

Identifiants

pubmed: 37016310
doi: 10.1186/s12864-023-09245-0
pii: 10.1186/s12864-023-09245-0
pmc: PMC10074901
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

165

Subventions

Organisme : Joint Institute for Food Safety and Applied Nutrition, University of Maryland
ID : 5U01-FD001418

Informations de copyright

© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Auteurs

Seth Commichaux (S)

Center for Food Safety and Nutrition, Food and Drug Administration, Laurel, MD, USA. Seth.Commichaux@fda.hhs.gov.
Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA. Seth.Commichaux@fda.hhs.gov.
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA. Seth.Commichaux@fda.hhs.gov.
Biological Science Graduate Program, University of Maryland, College Park, MD, USA. Seth.Commichaux@fda.hhs.gov.

Hugh Rand (H)

Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.

Kiran Javkar (K)

Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Department of Computer Science, University of Maryland, College Park, MD, USA.
Joint Institute for Food Safety and Applied Nutrition, University of Maryland, College Park, MD, USA.

Erin K Molloy (EK)

Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Department of Computer Science, University of Maryland, College Park, MD, USA.

James B Pettengill (JB)

Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.

Arthur Pightling (A)

Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.

Maria Hoffmann (M)

Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.

Mihai Pop (M)

Department of Computer Science, University of Maryland, College Park, MD, USA.

Victor Jayeola (V)

Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.

Steven Foley (S)

Food and Drug Administration, National Center for Toxicological Research, Jefferson, AR, USA.

Yan Luo (Y)

Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.

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Classifications MeSH