Evidence map›Paper›PMID 27977751›Full record

ArticlePloS one2016

Characterisation of Commensal Escherichia coli Isolated from Apparently Healthy Cattle and Their Attendants in Tanzania.

Balichene P Madoshi, Egle Kudirkiene, Madundo M A Mtambo, Amandus P Muhairwa, Athumani M Lupindu, John E Olsen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Antimicrobial resistantOne health (Amsterdam, Netherlands) · 2026
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  4. Comparative genomic analysis ofMicrobial genomics · 2025
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  6. Whole genome sequencing analysis of non-O157 Shiga toxin-producingIranian journal of veterinary research · 2024
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  7. FEMS microbes · 2024
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  8. Antibiogram ofVeterinary medicine (Auckland, N.Z.) · 2024
    Article
  9. Occurrence and Genomic Characterization ofAntibiotics (Basel, Switzerland) · 2022
    Article
  10. Antimicrobial Resistance Pattern ofAnimals : an open access journal from MDPI · 2022
    Article
  11. Review
  12. Molecular characterization of blaBMC veterinary research · 2022
    Article
  13. Article
  14. Comparative genomic analysis ofMicrobial genomics · 2021
    Article
  15. Article
  16. ESBL ProducingFrontiers in public health · 2021
    Article
  17. Article
  18. Article
  19. Review
  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

6 authors at 4 institutions in 3 countries.

Balichene P MadoshiDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Egle KudirkieneDepartment of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Madundo M A MtamboTanzania Industrial Research Developments Organisation, TIRDO Complex, Dar es Salaam, Tanzania.
Amandus P MuhairwaDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Athumani M LupinduDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
John E OlsenDepartment of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Sokoine University of Agriculture · TZUniversity of Copenhagen · DKMineral Products Association · GBTanzania Industrial Research and Development Organization · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While pathogenic types of Escherichia coli are well characterized, relatively little is known about the commensal E. coli flora. In the current study, antimicrobial resistance in commensal E. coli and distribution of ERIC-PCR genotypes among isolates of such bacteria from cattle and cattle attendants on cattle farms in Tanzania were investigated. Seventeen E. coli genomes representing different ERIC-PCR types of commensal E. coli were sequenced in order to determine their possible importance as a reservoir for both antimicrobial resistance genes and virulence factors. Both human and cattle isolates were highly resistant to tetracycline (40.8% and 33.1%), sulphamethazole-trimethoprim (49.0% and 8.8%) and ampicillin (44.9% and 21.3%). However, higher proportion of resistant E. coli and higher frequency of resistance to more than two antimicrobials was found in isolates from cattle attendants than isolates from cattle. Sixteen out of 66 ERIC-PCR genotypes were shared between the two hosts, and among these ones, seven types contained isolates from cattle and cattle attendants from the same farm, suggesting transfer of strains between hosts. Genome-wide analysis showed that the majority of the sequenced cattle isolates were assigned to phylogroups B1, while human isolates represented phylogroups A, C, D and E. In general, in silico resistome and virulence factor identification did not reveal differences between hosts or phylogroups, except for lpfA and iss found to be cattle and B1 phylogroup specific. The most frequent plasmids replicon genes found in strains from both hosts were of IncF type, which are commonly associated with carriage of antimicrobial and virulence genes. Commensal E. coli from cattle and attendants were found to share same genotypes and to carry antimicrobial resistance and virulence genes associated with both intra and extraintestinal E. coli pathotypes.

Indexed as

AnimalsAnti-Infective AgentsCattleCattle DiseasesDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsGenome, BacterialMicrobial Sensitivity TestsTanzaniaAnti-Infective Agents

Identifiers

PMID27977751
PMCPMC5158034
OpenAlexW2561976697

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.