Evidence map›Paper›PMID 42286091›Full record

Articlenpj antimicrobials and resistance2026

Increased temperature selects for antibiotic resistance genes in a model aquatic ecosystem.

Emma Bousquet, Sabine Favre-Bonté, Thibault Meyer, Concepción Sánchez-Cid

Abstract read
In one paragraph

Article in npj antimicrobials and resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Emma BousquetUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, UMR 1418, Villeurbanne, France.
Sabine Favre-BontéUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, UMR 1418, Villeurbanne, France.
Thibault MeyerUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, UMR 1418, Villeurbanne, France.
Concepción Sánchez-CidUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, UMR 1418, Villeurbanne, France. sanchezcidtorres@gmail.com.

Funding

Agence Nationale de la Recherche N° ANR 21-AQUA-0002-09FR BioEEnvis FR BioEEnvis 2023/2024 AMBITOME
6 · The paper itself

Abstract

There is a rising concern that temperature increases associated with climate change might select for antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in aquatic ecosystems, although the extent of this phenomenon remains unknown. This study aimed to determine whether increased temperatures induce ARG selection and modify the transcriptional response in a model aquatic ecosystem using an omics approach. River water microcosms were incubated at 20 °C, at 28 °C (constant temperature increase), and under oscillating temperatures (intervals of 3 days at 20 °C and 4 days at 28 °C to emulate heatwaves) for 28 days. Both the constantly higher temperature and oscillating temperatures altered bacterial community composition and selected for members carrying ARGs, including two Limnohabitans subpopulations that contain the pmrE polymyxin resistance gene and an Alphaproteobacteria carrying the sul2 sulfonamide resistance gene. In addition, metatranscriptomic analyses revealed a lower abundance (p < 0.05) of transcripts related to cell division, bacterial activity/metabolism, antibiotic efflux, stress responses, and cell/gene mobility in samples exposed to oscillating temperatures than in the room temperature controls. This research supports the rising concern that climate change may increase antibiotic resistance in environments exposed to higher temperatures maintained over long periods of time and to repeated short-time heatwave events.

Identifiers

PMID42286091
PMCPMC13661515

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.