Evidence map›Paper›PMID 23762414›Full record

ArticlePloS one2013

Development of a robust method for isolation of shiga toxin-positive Escherichia coli (STEC) from fecal, plant, soil and water samples from a leafy greens production region in California.

Michael B Cooley, Michele Jay-Russell, Edward R Atwill, Diana Carychao, Kimberly Nguyen, Beatriz Quiñones, Ronak Patel, Samarpita Walker, Michelle Swimley, Edith Pierre-Jerome and 2 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Use of GbAnalytical and bioanalytical chemistry · 2026
    Article
  3. Water and food contamination withJournal of water and health · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. International journal of systematic and evolutionary microbiology · 2025
    Article
  8. Using PathogenicFoods (Basel, Switzerland) · 2025
    Article
  9. Article
  10. International journal of systematic and evolutionary microbiology · 2024
    Article
  11. Article
  12. Article
  13. Pathogenicity assessment of Shiga toxin-producingFrontiers in microbiology · 2023
    Article
  14. Complete genome analysis ofFrontiers in cellular and infection microbiology · 2023
    Article
  15. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  16. Risk factors of Shiga toxin-producingEpidemiology and infection · 2022
    Article
  17. Molecular Epidemiology of Antibiotic Resistance Genes and Virulence Factors in Multidrug-ResistantInternational journal of environmental research and public health · 2022
    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

12 authors.

Michael B CooleyProduce Safety and Microbiology Research Unit, United States Department of Agriculture-Agricultural Research Service, Albany, California, United States of America. michael.cooley@ars.usda.gov
Michele Jay-Russell
Edward R Atwill
Diana Carychao
Kimberly Nguyen
Beatriz Quiñones
Ronak Patel
Samarpita Walker
Michelle Swimley
Edith Pierre-Jerome
Andrew G Gordus
Robert E Mandrell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During a 2.5-year survey of 33 farms and ranches in a major leafy greens production region in California, 13,650 produce, soil, livestock, wildlife, and water samples were tested for Shiga toxin (stx)-producing Escherichia coli (STEC). Overall, 357 and 1,912 samples were positive for E. coli O157:H7 (2.6%) or non-O157 STEC (14.0%), respectively. Isolates differentiated by O-typing ELISA and multilocus variable number tandem repeat analysis (MLVA) resulted in 697 O157:H7 and 3,256 non-O157 STEC isolates saved for further analysis. Cattle (7.1%), feral swine (4.7%), sediment (4.4%), and water (3.3%) samples were positive for E. coli O157:H7; 7/32 birds, 2/145 coyotes, 3/88 samples from elk also were positive. Non-O157 STEC were at approximately 5-fold higher incidence compared to O157 STEC: cattle (37.9%), feral swine (21.4%), birds (2.4%), small mammals (3.5%), deer or elk (8.3%), water (14.0%), sediment (12.3%), produce (0.3%) and soil adjacent to produce (0.6%). stx1, stx2 and stx1/stx2 genes were detected in 63%, 74% and 35% of STEC isolates, respectively. Subtilase, intimin and hemolysin genes were present in 28%, 25% and 79% of non-O157 STEC, respectively; 23% were of the "Top 6″ O-types. The initial method was modified twice during the study revealing evidence of culture bias based on differences in virulence and O-antigen profiles. MLVA typing revealed a diverse collection of O157 and non-O157 STEC strains isolated from multiple locations and sources and O157 STEC strains matching outbreak strains. These results emphasize the importance of multiple approaches for isolation of non-O157 STEC, that livestock and wildlife are common sources of potentially virulent STEC, and evidence of STEC persistence and movement in a leafy greens production environment.

Indexed as

Soil MicrobiologyAnimalsCaliforniaCattleDrinking WaterEscherichia coli O157Escherichia coli ProteinsFecesFood MicrobiologyMultilocus Sequence TypingMultiplex Polymerase Chain ReactionO AntigensPhylogenyShiga-Toxigenic Escherichia coliSwineVegetablesDrinking WaterEscherichia coli ProteinsO AntigensWastewater

Identifiers

PMID23762414
PMCPMC3675059

What OpenQuestion holds

Textmetadata
LicenceCC0
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.