Evidence map›Paper›PMID 19564389›Full record

ArticleInfection and immunity2009

Analysis of the genome of the Escherichia coli O157:H7 2006 spinach-associated outbreak isolate indicates candidate genes that may enhance virulence.

Bridget R Kulasekara, Michael Jacobs, Yang Zhou, Zaining Wu, Elizabeth Sims, Channakhone Saenphimmachak, Laurence Rohmer, Jennifer M Ritchie, Matthew Radey, Matthew McKevitt and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

94 citing papers in PubMed, 151 citations in OpenAlex.

  1. Global expression profile of enterohemorrhagic Escherichia coli O157:H7 in phagosome of murine macrophages.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Nitric Oxide InducedMicroorganisms · 2022
    Article
  12. Article
  13. Review
  14. Proteomic Advances in Cereal and Vegetable Crops.Molecules (Basel, Switzerland) · 2021
    Review
  15. Review
  16. Comparative Pathogenomics ofInfection and immunity · 2021
    Article
  17. Article
  18. Article
  19. Bacteriophages of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2021
    Review
  20. Comparative Whole Genome Analysis ofFrontiers in microbiology · 2021
    Article

34 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

23 authors at 4 institutions in 1 country.

Bridget R KulasekaraMolecular and Cellular Biology Program, University of Washington, Seattle, Washington 98195, USA.
Michael Jacobs
Yang Zhou
Zaining Wu
Elizabeth Sims
Channakhone Saenphimmachak
Laurence Rohmer
Jennifer M Ritchie
Matthew Radey
Matthew McKevitt
Theodore Larson Freeman
Hillary Hayden
Eric Haugen
Will Gillett
Christine Fong
Jean Chang
Viktoriya Beskhlebnaya
Matthew K Waldor
Mansour Samadpour
Thomas S Whittam
Rajinder Kaul
Mitchell Brittnacher
Samuel I Miller
University of Washington · USBrigham and Women's Hospital · USHoward Hughes Medical Institute · USMichigan State University · US

Funding

Variation in Human Innate ImmunityU54AI057141 · NIAID · UNIVERSITY OF WASHINGTON · PI COOKSON, BRAD T · 2003 to 2013
$102.3M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Molecular Biology and Virulence of CTX PhageR37AI042347 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI WALDOR, MATTHEW K · 2008 to 2017
$3.8M
NIAID NIH HHS R37 AI042347NIAID NIH HHS U54 AI057141NIAID NIH HHS U54AI057141NIDDK NIH HHS DK-17047NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

In addition to causing diarrhea, Escherichia coli O157:H7 infection can lead to hemolytic-uremic syndrome (HUS), a severe disease characterized by hemolysis and renal failure. Differences in HUS frequency among E. coli O157:H7 outbreaks have been noted, but our understanding of bacterial factors that promote HUS is incomplete. In 2006, in an outbreak of E. coli O157:H7 caused by consumption of contaminated spinach, there was a notably high frequency of HUS. We sequenced the genome of the strain responsible (TW14359) with the goal of identifying candidate genetic factors that contribute to an enhanced ability to cause HUS. The TW14359 genome contains 70 kb of DNA segments not present in either of the two reference O157:H7 genomes. We identified seven putative virulence determinants, including two putative type III secretion system effector proteins, candidate genes that could result in increased pathogenicity or, alternatively, adaptation to plants, and an intact anaerobic nitric oxide reductase gene, norV. We surveyed 100 O157:H7 isolates for the presence of these putative virulence determinants. A norV deletion was found in over one-half of the strains surveyed and correlated strikingly with the absence of stx(1). The other putative virulence factors were found in 8 to 35% of the O157:H7 isolates surveyed, and their presence also correlated with the presence of norV and the absence of stx(1), indicating that the presence of norV may serve as a marker of a greater propensity for HUS, similar to the correlation between the absence of stx(1) and a propensity for HUS.

Indexed as

Disease OutbreaksGenome, BacterialDNA, BacterialEscherichia coli O157Foodborne DiseasesHemolytic-Uremic SyndromePolymorphism, GeneticShiga Toxin 2Spinacia oleraceaVirulenceDNA, BacterialShiga Toxin 2

Identifiers

PMID19564389
PMCPMC2738036
OpenAlexW2124846410

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.