Evidence map›Paper›PMID 25883908›Full record

ArticleFrontiers in cellular and infection microbiology2015

Characterization of enteropathogenic and Shiga toxin-producing Escherichia coli in cattle and deer in a shared agroecosystem.

Pallavi Singh, Qiong Sha, David W Lacher, Jacquelyn Del Valle, Rebekah E Mosci, Jennifer A Moore, Kim T Scribner, Shannon D Manning

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

  1. Article
  2. Prevalence of Shiga-ToxigenicMicroorganisms · 2025
    Article
  3. Article
  4. Article
  5. Prevalence of Shiga Toxin-ProducingAnimals : an open access journal from MDPI · 2023
    Article
  6. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  7. Virulence Genes of PathogenicAnimals : an open access journal from MDPI · 2022
    Article
  8. Multidrug-Resistant EnteropathogenicAntibiotics (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Dissemination of ResistantFrontiers in microbiology · 2022
    Article
  11. Niche Preference ofLife (Basel, Switzerland) · 2021
    Article
  12. Hybrid Atypical Enteropathogenic and ExtraintestinalPathogens (Basel, Switzerland) · 2021
    Article
  13. Review
  14. Article
  15. Fallow Deer (Animals : an open access journal from MDPI · 2020
    Article
  16. Captive Green Iguana Carries DiarrheagenicFrontiers in veterinary science · 2020
    Article
  17. 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.

Pallavi SinghDepartment of Microbiology and Molecular Genetics, Michigan State University East Lansing, MI, USA.
Qiong ShaDepartment of Microbiology and Molecular Genetics, Michigan State University East Lansing, MI, USA.
David W LacherDivision of Molecular Biology, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration Laurel, MD, USA.
Jacquelyn Del ValleDepartment of Microbiology and Molecular Genetics, Michigan State University East Lansing, MI, USA.
Rebekah E MosciDepartment of Microbiology and Molecular Genetics, Michigan State University East Lansing, MI, USA.
Jennifer A MooreBiology Department, Grand Valley State University Allendale, MI, USA.
Kim T ScribnerDepartment of Fisheries and Wildlife, Michigan State University East Lansing, MI, USA.
Shannon D ManningDepartment of Microbiology and Molecular Genetics, Michigan State University East Lansing, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC) is an important foodborne pathogen. Cattle are suggested to be an important reservoir for STEC; however, these pathogens have also been isolated from other livestock and wildlife. In this study we sought to investigate transmission of STEC, enterohemorrhagic E. coli (EHEC) and enteropathogenic E. coli (EPEC) between cattle and white-tailed deer in a shared agroecosystem. Cattle feces were collected from 100 animals in a Michigan dairy farm in July 2012, while 163 deer fecal samples were collected during two sampling periods (March and June). The locations of deer fecal pellets were recorded via geographic information system mapping and microsatellite multi-locus genotyping was used to link the fecal samples to individual deer at both time points. Following subculture to sorbitol MacConkey agar and STEC CHROMagar, the pathogens were characterized by serotyping, stx profiling, and PCR-based fingerprinting; multilocus sequence typing (MLST) was performed on a subset. STEC and EHEC were cultured from 12 to 16% of cattle, respectively, and EPEC was found in 36%. Deer were significantly less likely to have a pathogen in March vs. June where the frequency of STEC, EHEC, and EPEC was 1, 6, and 22%, respectively. PCR fingerprinting and MLST clustered the cattle- and deer-derived strains together in a phylogenetic tree. Two STEC strains recovered from both animal species shared MLST and fingerprinting profiles, thereby providing evidence of interspecies transmission and highlighting the importance of wildlife species in pathogen shedding dynamics and persistence in the environment and cattle herds.

Indexed as

AnimalsCattleCattle DiseasesDeerEcosystemEnteropathogenic Escherichia coliEscherichia coli InfectionsEscherichia coli ProteinsFecesGenome, BacterialMultilocus Sequence TypingPhylogenyShiga-Toxigenic Escherichia coliVirulence FactorsEscherichia coli ProteinsVirulence FactorscattledeerEHECEPECfingerprintingMLSTSTECtransmission

Identifiers

PMID25883908
PMCPMC4381715

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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.