Evidence map›Paper›PMID 36988354›Full record

ArticleApplied and environmental microbiology2023

Impacts of Domestication and Veterinary Treatment on Mobile Genetic Elements and Resistance Genes in Equine Fecal Bacteria.

Scott W Mitchell, Robert A Moran, Liam D H Elbourne, Belinda Chapman, Michelle Bull, Gary Muscatello, Nicholas V Coleman

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. ISMicrobiology and molecular biology reviews : MMBR · 2024
    Review
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

7 authors at 3 institutions in 2 countries.

Scott W MitchellSchool of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.
Robert A MoranInstitute of Microbiology and Infection, School of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom.
Liam D H ElbourneSchool of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia.
Belinda ChapmanQuantal Bioscience Pty Ltd, Carlingford, New South Wales, Australia.
Michelle BullQuantal Bioscience Pty Ltd, Carlingford, New South Wales, Australia.
Gary MuscatelloSchool of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.
Nicholas V ColemanSchool of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-3594-1754
The University of Sydney · AUMacquarie University · AUUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance in bacteria is a threat to both human and animal health. We aimed to understand the impact of domestication and antimicrobial treatment on the types and numbers of resistant bacteria, antibiotic resistance genes (ARGs), and class 1 integrons (C1I) in the equine gut microbiome. Antibiotic-resistant fecal bacteria were isolated from wild horses, healthy farm horses, and horses undergoing veterinary treatment, and isolates (9,083 colonies) were screened by PCR for C1I; these were found at frequencies of 9.8% (vet horses), 0.31% (farm horses), and 0.05% (wild horses). A collection of 71 unique C1I

Indexed as

DNA Transposable ElementsDomesticationAnimalsAnti-Bacterial AgentsBacteriaHorsesHumansIntegronsPlasmidsAnti-Bacterial AgentsDNA Transposable Elementsequineintegronplasmidresistance

Identifiers

PMID36988354
PMCPMC10057962
OpenAlexW4323357211

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.