Evidence map›Paper›PMID 33820940›Full record

ArticleScientific reports2021

Salmonella nomenclature in the genomic era: a time for change.

Marie A Chattaway, Gemma C Langridge, John Wain

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Frontiers in medicine · 2024
    Pooled it
  3. Pathogens (Basel, Switzerland) · 2026
    Article
  4. A spotlight on multidrug-resistantFrontiers in microbiology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Phylogeny and divergence of the 100 most commonFrontiers in microbiology · 2025
    Article
  13. Population structure analysis ofFrontiers in microbiology · 2025
    Article
  14. Non-typhoidalJAC-antimicrobial resistance · 2024
    Review
  15. Review
  16. From Species to Genes: A New Diagnostic Paradigm.Antibiotics (Basel, Switzerland) · 2024
    Review
  17. Detection ofMicroorganisms · 2024
    Article
  18. Occurrence ofVeterinary world · 2024
    Article
  19. Article
  20. Typhoid fever.Nature reviews. Disease primers · 2023
    Review
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

3 authors.

Marie A ChattawayGastrointestinal Bacteria Reference Unit, Salmonella Reference Service, Public Health England, London, NW9 5EQ, UK. marie.chattaway@phe.gov.uk.
Gemma C LangridgeQuadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
John WainQuadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/R012504/1Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10352
6 · The paper itself

Abstract

Salmonella enterica nomenclature has evolved over the past one hundred years into a highly sophisticated naming convention based on the recognition of antigens by specific antibodies. This serotyping scheme has led to the definition of over 2500 serovars which are well understood, have standing in nomenclature and, for the majority, biological relevance. Therefore, it is highly desirable for any change in naming convention to maintain backwards compatibility with the information linked to these serovars. The routine use of whole genome sequencing and the well-established link between sequence types and serovars presents an opportunity to update the scheme by incorporating the phylogenetically relevant sequence data whilst preserving the best of serotyping nomenclature. Advantages include: overcoming the variability in antibody preparations; removing the need to use laboratory animals and implementing a truly universal system. However, the issue of trying to reproduce the phenotyping gold standard needs to be relaxed if we are to fully embrace the genomic era. We have used whole genome sequence data from over 46,000 isolates of Salmonella enterica subspecies enterica to define clusters in two stages: Multi Locus Sequence Typing followed by antigen prediction. Sequence type-serotype discrepancies were resolved using core SNP clustering to determine the phylogenetic groups and this was confirmed by overlaying the antigenic prediction onto the core SNP clusters and testing the separation of clusters using cgMLST Hierarchical Clustering. This allowed us to define any major antigenic clusters within an ST-here called the MAC type and written as ST-serovar. Using this method, 99.96% of Salmonella isolates reported in the UK were assigned a MAC type and linked to a serovar name taken from the Kauffmann and White scheme. We propose a change for reporting of Salmonella enterica sub-types using the ST followed by serovar.

Indexed as

GenomicsTerminology as TopicAntigens, BacterialBase SequenceGenome, BacterialMultilocus Sequence TypingPhylogenySalmonellaSalmonella entericaAntigens, Bacterial

Identifiers

PMID33820940
PMCPMC8021552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.