Evidence map›Paper›PMID 39338528›Full record

ArticleMicroorganisms2024

Antimicrobial Resistance in the Terrestrial Environment of Agricultural Landscapes in Norway.

Live L Nesse, Kristin Forfang, Jannice Schau Slettemeås, Snorre Hagen, Marianne Sunde, Abdelhameed Elameen, Gro Johannessen, Marianne Stenrød, Girum Tadesse Tessema, Marit Almvik and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Live L NesseDepartment of Food Safety and Animal Health Research, Norwegian Veterinary Institute, N-1431 Ås, Norway.
Kristin ForfangDivision of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.
Jannice Schau SlettemeåsDepartment of Food Safety and Animal Health Research, Norwegian Veterinary Institute, N-1431 Ås, Norway.ORCID 0000-0003-2542-6991
Snorre HagenDivision of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.
Marianne SundeDepartment of Microbiology, Norwegian Veterinary Institute, N-1431 Ås, Norway.ORCID 0000-0002-2326-4338
Abdelhameed ElameenDivision of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.ORCID 0000-0002-4158-7923
Gro JohannessenDepartment of Food Safety and Animal Health Research, Norwegian Veterinary Institute, N-1431 Ås, Norway.
Marianne StenrødDivision of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.ORCID 0000-0002-0306-1840
Girum Tadesse TessemaDepartment of Microbiology, Norwegian Veterinary Institute, N-1431 Ås, Norway.
Marit AlmvikDivision of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.ORCID 0000-0002-8310-6681
Hans Geir EikenDivision of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.ORCID 0000-0002-5368-3648

Funding

The Norwegian Environment Agency 18087149
6 · The paper itself

Abstract

The abundance and diversity of antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs) in agricultural landscapes may be important for the spread of antimicrobial resistance (AMR) in the environment. The aim of this study was to apply screening methods for ARB and ARGs to investigate the impact of farming on the prevalence of AMR in a country with low antibiotic usage. We have analyzed samples (n = 644) from soil and wild terrestrial animals and plants (slugs, snails, mice, shrews, earthworms, and red clover) collected over two years in agricultural fields accompanied by nearby control areas with low human activity. All samples were investigated for the occurrence of 35 different ARGs using high-throughput quantitative PCR (HT-qPCR) on a newly developed DNA array. In addition, samples from the first year (n = 415) were investigated with a culture-based approach combined with whole-genome sequencing (WGS) to identify antimicrobial-resistant

Indexed as

AMRantimicrobialsARBARGconventional and organic agricultureE. colihigh-throughput DNA arraylivestock manurequantitative PCRWGS

Identifiers

PMID39338528
PMCPMC11433849

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.