Evidence map›Paper›PMID 39900801›Full record

Articlenpj antimicrobials and resistance2025

Genomic analysis of antimicrobial resistant Escherichia coli isolated from manure and manured agricultural grasslands.

C Tyrrell, C M Burgess, F P Brennan, D Münzenmaier, D Drissner, R J Leigh, F Walsh

Abstract read
In one paragraph

Article in npj antimicrobials and resistance, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Unexplained High Prevalence of ESBL-Antibiotics (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Limited clonality but widespread plasmid sharing of ESBL-producingCurrent research in microbial sciences · 2025
    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

7 authors.

C TyrrellDepartment of Biology, Maynooth University, Maynooth, Ireland.
C M BurgessTeagasc Food Research Centre, Ashtown, Dublin 15, Ireland.
F P BrennanDepartment of Environment, Soils and Land-Use, Teagasc, Johnstown Castle, Wexford, Ireland.
D MünzenmaierDepartment of Life Sciences, Albstadt-Sigmaringen University, Sigmaringen, Germany.
D DrissnerDepartment of Life Sciences, Albstadt-Sigmaringen University, Sigmaringen, Germany.
R J Leigh *Department of Biology, Maynooth University, Maynooth, Ireland.
F Walsh *Department of Biology, Maynooth University, Maynooth, Ireland. Fiona.Walsh@mu.ie.

Funding

Teagasc Walsh Fellowship 2017037
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a multifactorial issue involving an intertwining relationship between animals, humans and the environment. The environment can harbour Escherichia coli that are pathogenic or commensal. Escherichia coli is used as an indicator of environmental faecal contamination. Through culture dependent approaches this study identified 46 E. coli isolates in porcine and bovine manure, non-manured and manured soil, and manured grass. The grass isolation highlights grass as an environmental reservoir for E. coli. We also identified a diverse plasmidome with 23 different plasmid replicon types. The E. coli isolates were phenotypically antimicrobial resistant, predominantly multidrug resistant. Whole genome sequencing identified 31 antimicrobial resistance genes, and mutations in the gyrA, parC, and parE genes, conferring fluoroquinolone resistance. This study demonstrates grass as an understudied environmental niche of AMR E. coli, which directly links the environment to the grass grazing animal and vice-versa via the circular economy of manure application.

Identifiers

PMID39900801
PMCPMC11790903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.