Evidence map›Paper›PMID 34011288›Full record

ArticleBMC genomics2021

Insights into the genome architecture and evolution of Shiga toxin encoding bacteriophages of Escherichia coli.

Graça Pinto, Marta Sampaio, Oscar Dias, Carina Almeida, Joana Azeredo, Hugo Oliveira

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.5field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Predicting clinical outcome ofMicrobial genomics · 2025
    Article
  4. Shiga toxin-producingMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  5. Shiga Toxin-ProducingMicroorganisms · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diversity of Shiga toxin transducing phages inFrontiers in microbiology · 2024
    Article
  11. Article
  12. The Prophage and Us-Shiga Toxin Phages Revisited.Pathogens (Basel, Switzerland) · 2023
    Article
  13. Article
  14. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Genomic Characterization ofMicroorganisms · 2022
    Article
  17. Article
  18. Article
  19. Genomic Characteristics of Stx2e-ProducingPathogens (Basel, Switzerland) · 2021
    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

6 authors at 2 institutions in 1 country.

Graça PintoCEB - Centre of Biological Engineering, University of Minho, 4710-057, Braga, Portugal.
Marta SampaioCEB - Centre of Biological Engineering, University of Minho, 4710-057, Braga, Portugal.
Oscar DiasCEB - Centre of Biological Engineering, University of Minho, 4710-057, Braga, Portugal.
Carina AlmeidaINIAV, IP-National Institute for Agrarian and Veterinary Research, Rua dos Lagidos, Lugar da Madalena, Vairão, Vila do Conde, Portugal.
Joana AzeredoCEB - Centre of Biological Engineering, University of Minho, 4710-057, Braga, Portugal. jazeredo@deb.uminho.pt.
Hugo OliveiraCEB - Centre of Biological Engineering, University of Minho, 4710-057, Braga, Portugal. hugooliveira@deb.uminho.pt.
University of Minho · PTInstituto Nacional de Investigação Agrária e Veterinária · PT

Funding

Fundação para a Ciência e a Tecnologia PhageSTEC PTDC/CVT-CVT/29628/2017 [POCI-01-0145-FEDER-029628]Fundação para a Ciência e a Tecnologia SFRH/BD/117365/2016Fundação para a Ciência e a Tecnologia UIDB/04469/2020
6 · The paper itself

Abstract

backgroundA total of 179 Shiga toxin-producing Escherichia coli (STEC) complete genomes were analyzed in terms of serotypes, prophage coding regions, and stx gene variants and their distribution. We further examined the genetic diversity of Stx-converting phage genomes (Stx phages), focusing on the lysis-lysogeny decision and lytic cassettes.

resultsWe show that most STEC isolates belong to non-O157 serotypes (73 %), regardless the sources and geographical regions. While the majority of STEC genomes contain a single stx gene (61 %), strains containing two (35 %), three (3 %) and four (1 %) stx genes were also found, being stx2 the most prevalent gene variant. Their location is exclusively found in intact prophage regions, indicating that they are phage-borne. We further demonstrate that Stx phages can be grouped into four clusters (A, B, C and D), three subclusters (A1, A2 and A3) and one singleton, based on their shared gene content. This cluster distribution is in good agreement with their predicted virion morphologies. Stx phage genomes are highly diverse with a vast number of 1,838 gene phamilies (phams) of related sequences (of which 677 are orphams i.e. unique genes) and, although having high mosaicism, they are generally organized into three major transcripts. While the mechanisms that guide lysis-lysogeny decision are complex, there is a strong selective pressure to maintain the stx genes location close to the lytic cassette composed of predicted SAR-endolysin and pin-holin lytic proteins. The evolution of STEC Stx phages seems to be strongly related to acquiring genetic material, probably from horizontal gene transfer events.

conclusionsThis work provides novel insights on the genetic structure of Stx phages, showing a high genetic diversity throughout the genomes, where the various lysis-lysogeny regulatory systems are in contrast with an uncommon, but conserved, lytic system always adjacent to stx genes.

Indexed as

BacteriophagesShiga-Toxigenic Escherichia coliLysogenyShiga ToxinShiga Toxin 2Shiga ToxinShiga Toxin 2ClustersGenomesShiga toxin-encoding bacteriophagesSTEC

Identifiers

PMID34011288
PMCPMC8136144
OpenAlexW3162761877

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.