Evidence map›Paper›PMID 24410921›Full record

ArticleBMC genomics2014

Comparative genomics of enterohemorrhagic Escherichia coli O145:H28 demonstrates a common evolutionary lineage with Escherichia coli O157:H7.

Kerry K Cooper, Robert E Mandrell, Jacqueline W Louie, Jonas Korlach, Tyson A Clark, Craig T Parker, Steven Huynh, Patrick S Chain, Sanaa Ahmed, Michelle Qiu Carter

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Diversity of Shiga toxin transducing phages inFrontiers in microbiology · 2024
    Article
  7. Article
  8. Review
  9. The "Big Six": Hidden Emerging Foodborne Bacterial Pathogens.Tropical medicine and infectious disease · 2022
    Review
  10. Article
  11. Article
  12. Comparative Pathogenomics ofInfection and immunity · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Is Shiga Toxin-ProducingMicroorganisms · 2020
    Article
  17. Article
  18. [The postbiotic HM0539 fromNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    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

10 authors at 4 institutions in 1 country.

Kerry K Cooper
Robert E Mandrell
Jacqueline W Louie
Jonas Korlach
Tyson A Clark
Craig T Parker
Steven Huynh
Patrick S Chain
Sanaa Ahmed
Michelle Qiu CarterProduce Safety and Microbiology Research Unit, Western Regional Research Center, Agricultural Research Service, US Department of Agriculture, Albany, CA 94710, USA. michelle.carter@ars.usda.gov.
United States Department of Agriculture · USAgricultural Research Service · USLos Alamos National Laboratory · USPacific Biosciences (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough serotype O157:H7 is the predominant enterohemorrhagic Escherichia coli (EHEC), outbreaks of non-O157 EHEC that cause severe foodborne illness, including hemolytic uremic syndrome have increased worldwide. In fact, non-O157 serotypes are now estimated to cause over half of all the Shiga toxin-producing Escherichia coli (STEC) cases, and outbreaks of non-O157 EHEC infections are frequently associated with serotypes O26, O45, O103, O111, O121, and O145. Currently, there are no complete genomes for O145 in public databases.

resultsWe determined the complete genome sequences of two O145 strains (EcO145), one linked to a US lettuce-associated outbreak (RM13514) and one to a Belgium ice-cream-associated outbreak (RM13516). Both strains contain one chromosome and two large plasmids, with genome sizes of 5,737,294 bp for RM13514 and 5,559,008 bp for RM13516. Comparative analysis of the two EcO145 genomes revealed a large core (5,173 genes) and a considerable amount of strain-specific genes. Additionally, the two EcO145 genomes display distinct chromosomal architecture, virulence gene profile, phylogenetic origin of Stx2a prophage, and methylation profile (methylome). Comparative analysis of EcO145 genomes to other completely sequenced STEC and other E. coli and Shigella genomes revealed that, unlike any other known non-O157 EHEC strain, EcO145 ascended from a common lineage with EcO157/EcO55. This evolutionary relationship was further supported by the pangenome analysis of the 10 EHEC str ains. Of the 4,192 EHEC core genes, EcO145 shares more genes with EcO157 than with the any other non-O157 EHEC strains.

conclusionsOur data provide evidence that EcO145 and EcO157 evolved from a common lineage, but ultimately each serotype evolves via a lineage-independent nature to EHEC by acquisition of the core set of EHEC virulence factors, including the genes encoding Shiga toxin and the large virulence plasmid. The large variation between the two EcO145 genomes suggests a distinctive evolutionary path between the two outbreak strains. The distinct methylome between the two EcO145 strains is likely due to the presence of a BsuBI/PstI methyltransferase gene cassette in the Stx2a prophage of the strain RM13514, suggesting a role of horizontal gene transfer-mediated epigenetic alteration in the evolution of individual EHEC strains.

Indexed as

Biological EvolutionGenome, BacterialEnterohemorrhagic Escherichia coliEscherichia coliEscherichia coli O157Escherichia coli ProteinsGenomicsMethyltransferasesPhylogenyProphagesSerotypingShiga ToxinShigellaVirulence FactorsEscherichia coli ProteinsMethyltransferasesShiga ToxinVirulence Factors

Identifiers

PMID24410921
PMCPMC3893438
OpenAlexW2023873005

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.