Evidence map›Paper›PMID 37016310›Full record

ArticleBMC genomics2023

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

Seth Commichaux, Hugh Rand, Kiran Javkar, Erin K Molloy, James B Pettengill, Arthur Pightling, Maria Hoffmann, Mihai Pop, Victor Jayeola, Steven Foley and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Seth CommichauxCenter for Food Safety and Nutrition, Food and Drug Administration, Laurel, MD, USA. Seth.Commichaux@fda.hhs.gov.
Hugh RandCenter for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.
Kiran JavkarCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Erin K MolloyCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
James B PettengillCenter for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.
Arthur PightlingCenter for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.
Maria HoffmannCenter for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.
Mihai PopDepartment of Computer Science, University of Maryland, College Park, MD, USA.
Victor JayeolaCenter for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.
Steven FoleyFood and Drug Administration, National Center for Toxicological Research, Jefferson, AR, USA.
Yan LuoCenter for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA.
Center for Food Safety and Applied Nutrition · USUniversity of Maryland, College Park · USNational Center for Toxicological Research · US

Funding

FDA HHS U01 FD001418Joint Institute for Food Safety and Applied Nutrition, University of Maryland 5U01-FD001418
6 · The paper itself

Abstract

backgroundThe 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.

resultsSNP 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.

conclusionHorizontally 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.

Indexed as

Salmonella entericaDisease OutbreaksFarmsOnionsPhylogenyPlasmidsSerogroupMobilomeMolecular epidemiologyPangenomePlasmidSalmonella entericaSalmonella enterica NewportSource tracking

Identifiers

PMID37016310
PMCPMC10074901
OpenAlexW4362550049

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.