Evidence map›Paper›PMID 25737808›Full record

ArticlePeerJ2015

Insight into Shiga toxin genes encoded by Escherichia coli O157 from whole genome sequencing.

Philip M Ashton, Neil Perry, Richard Ellis, Liljana Petrovska, John Wain, Kathie A Grant, Claire Jenkins, Tim J Dallman

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mind the gap! TypingMicrobial genomics · 2026
    Article
  5. Predicting clinical outcome ofMicrobial genomics · 2025
    Article
  6. Shiga toxin-producingFrontiers in microbiology · 2025
    Article
  7. Genotypic analysis of Shiga toxin-producingJournal of medical microbiology · 2024
    Article
  8. Article
  9. Review
  10. Detection ofFoods (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Prevalence of Shiga Toxin-ProducingAnimals : an open access journal from MDPI · 2023
    Article
  13. Analysis ofMicrobial genomics · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Epidemiology and genomic analysis of Shiga toxin-producingJournal of medical microbiology · 2021
    Article
  18. Article
  19. Article
  20. Article
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

8 authors at 3 institutions in 1 country.

Philip M AshtonGastrointestinal Bacteria Reference Unit, Public Health England , London , UK.
Neil PerryGastrointestinal Bacteria Reference Unit, Public Health England , London , UK.
Richard EllisAnimal & Plant Health Agency , New Haw, Addlestone, Surrey , UK.
Liljana PetrovskaAnimal & Plant Health Agency , New Haw, Addlestone, Surrey , UK.
John WainUniversity of East Anglia , Norwich Research Park, Norwich , UK.
Kathie A GrantGastrointestinal Bacteria Reference Unit, Public Health England , London , UK.
Claire JenkinsGastrointestinal Bacteria Reference Unit, Public Health England , London , UK.
Tim J DallmanGastrointestinal Bacteria Reference Unit, Public Health England , London , UK.
Public Health England · GBAnimal and Plant Health Agency · GBUniversity of East Anglia · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of Shiga toxin-producing Escherichia coli (STEC) to cause severe illness in humans is determined by multiple host factors and bacterial characteristics, including Shiga toxin (Stx) subtype. Given the link between Stx2a subtype and disease severity, we sought to identify the stx subtypes present in whole genome sequences (WGS) of 444 isolates of STEC O157. Difficulties in assembling the stx genes in some strains were overcome by using two complementary bioinformatics methods: mapping and de novo assembly. We compared the WGS analysis with the results obtained using a PCR approach and investigated the diversity within and between the subtypes. All strains of STEC O157 in this study had stx1a, stx2a or stx2c or a combination of these three genes. There was over 99% (442/444) concordance between PCR and WGS. When common source strains were excluded, 236/349 strains of STEC O157 had multiple copies of different Stx subtypes and 54 had multiple copies of the same Stx subtype. Of those strains harbouring multiple copies of the same Stx subtype, 33 had variants between the alleles while 21 had identical copies. Strains harbouring Stx2a only were most commonly found to have multiple alleles of the same subtype (42%). Both the PCR and WGS approach to stx subtyping provided a good level of sensitivity and specificity. In addition, the WGS data also showed there were a significant proportion of strains harbouring multiple alleles of the same Stx subtype associated with clinical disease in England.

Indexed as

E. coliGenomicsO157SequencingStx

Identifiers

PMID25737808
PMCPMC4338798
OpenAlexW2019797011

What OpenQuestion holds

Textmetadata
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.