Evidence map›Paper›PMID 29574242›Full record

ArticleInternational journal of food microbiology2018

Comparative analysis of core genome MLST and SNP typing within a European Salmonella serovar Enteritidis outbreak.

Madison E Pearce, Nabil-Fareed Alikhan, Timothy J Dallman, Zhemin Zhou, Kathie Grant, Martin C J Maiden

Abstract read
In one paragraph

Article in International journal of food microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

106 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Genomic diversity and tracing ofMicrobial genomics · 2025
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  18. Effects of Cross-Resistance ofIndian journal of microbiology · 2024
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  19. Genomic characterization of a clonal emergentApplied and environmental microbiology · 2024
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  20. Article

46 more citing papers are in PubMed but not listed here.

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

6 authors.

Madison E PearceDepartment of Zoology, University of Oxford, Peter Medawar Building for Pathogen Research, South Parks Road, Oxford OX1 3SY, United Kingdom; National Institute for Health Research, Health Protection Research Unit, Gastrointestinal Infections, University of Oxford, United Kingdom. Electronic address: Madison.pearce@zoo.ox.ac.uk.
Nabil-Fareed AlikhanWarwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom. Electronic address: N-F.Alikhan@warwick.ac.uk.
Timothy J DallmanPublic Health England, Gastrointestinal Bacteria Reference Unit, 61 Colindale Avenue, London NW9 5EQ, United Kingdom. Electronic address: tim.dallman@phe.gov.uk.
Zhemin ZhouWarwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom. Electronic address: Zhemin.Zhou@warwick.ac.uk.
Kathie GrantPublic Health England, Gastrointestinal Bacteria Reference Unit, 61 Colindale Avenue, London NW9 5EQ, United Kingdom. Electronic address: Kathie.Grant@phe.gov.uk.
Martin C J MaidenDepartment of Zoology, University of Oxford, Peter Medawar Building for Pathogen Research, South Parks Road, Oxford OX1 3SY, United Kingdom; National Institute for Health Research, Health Protection Research Unit, Gastrointestinal Infections, University of Oxford, United Kingdom. Electronic address: Martin.Maiden@zoo.ox.ac.uk.

Funding

Wellcome Trust 202792/Z/16/Z
6 · The paper itself

Abstract

Multi-country outbreaks of foodborne bacterial disease present challenges in their detection, tracking, and notification. As food is increasingly distributed across borders, such outbreaks are becoming more common. This increases the need for high-resolution, accessible, and replicable isolate typing schemes. Here we evaluate a core genome multilocus typing (cgMLST) scheme for the high-resolution reproducible typing of Salmonella enterica (S. enterica) isolates, by its application to a large European outbreak of S. enterica serovar Enteritidis. This outbreak had been extensively characterised using single nucleotide polymorphism (SNP)-based approaches. The cgMLST analysis was congruent with the original SNP-based analysis, the epidemiological data, and whole genome MLST (wgMLST) analysis. Combination of the cgMLST and epidemiological data confirmed that the genetic diversity among the isolates predated the outbreak, and was likely present at the infection source. There was consequently no link between country of isolation and genetic diversity, but the cgMLST clusters were congruent with date of isolation. Furthermore, comparison with publicly available Enteritidis isolate data demonstrated that the cgMLST scheme presented is highly scalable, enabling outbreaks to be contextualised within the Salmonella genus. The cgMLST scheme is therefore shown to be a standardised and scalable typing method, which allows Salmonella outbreaks to be analysed and compared across laboratories and jurisdictions.

Indexed as

Genome, BacterialAnimalsFoodborne DiseasesGenetic VariationMultilocus Sequence TypingPolymorphism, Single NucleotideSalmonella enteritidisSalmonella Infections, AnimalCore genome multilocus sequence typing (cgMLST)OutbreakPhylogenySalmonellaSingle nucleotide polymorphisms (SNPs)Whole-genome sequencing (wgs)

Identifiers

PMID29574242
PMCPMC5899760

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Registered trials

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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.