Evidence map›Paper›PMID 36785930›Full record

ArticleeLife2023

Ecology, more than antibiotics consumption, is the major predictor for the global distribution of aminoglycoside-modifying enzymes.

Léa Pradier, Stéphanie Bedhomme

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  4. Frontiers in bioinformatics · 2026
    Review
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  17. A mobile target.eLife · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Léa PradierCEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France.ORCID 0000-0002-1545-3585
Stéphanie BedhommeCEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France.ORCID 0000-0001-8075-0968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic consumption and its abuses have been historically and repeatedly pointed out as the major driver of antibiotic resistance emergence and propagation. However, several examples show that resistance may persist despite substantial reductions in antibiotic use, and that other factors are at stake. Here, we study the temporal, spatial, and ecological distribution patterns of aminoglycoside resistance, by screening more than 160,000 publicly available genomes for 27 clusters of genes encoding aminoglycoside-modifying enzymes (AME genes). We find that AME genes display a very ubiquitous pattern: about 25% of sequenced bacteria carry AME genes. These bacteria were sequenced from all the continents (except Antarctica) and terrestrial biomes, and belong to a wide number of phyla. By focusing on European countries between 1997 and 2018, we show that aminoglycoside consumption has little impact on the prevalence of AME-gene-carrying bacteria, whereas most variation in prevalence is observed among biomes. We further analyze the resemblance of resistome compositions across biomes: soil, wildlife, and human samples appear to be central to understand the exchanges of AME genes between different ecological contexts. Together, these results support the idea that interventional strategies based on reducing antibiotic use should be complemented by a stronger control of exchanges, especially between ecosystems.

Indexed as

AminoglycosidesAnti-Bacterial AgentsDrug Resistance, BacterialEcosystemEuropeHumansMicrobial Sensitivity TestsAminoglycosidesAnti-Bacterial Agentsaminoglycosidesantibiotic consumptionantibiotic resistanceecologyepidemiologyglobal healthglobalization

Identifiers

PMID36785930
PMCPMC9928423

What OpenQuestion holds

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Registered trials

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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.