Evidence map›Paper›PMID 38800129›Full record

ArticleISME communications2024

Aberrant microbiomes are associated with increased antibiotic resistance gene load in hybrid mice.

Víctor Hugo Jarquín-Díaz, Susana Carolina Martins Ferreira, Alice Balard, Ľudovít Ďureje, Milos Macholán, Jaroslav Piálek, Johan Bengtsson-Palme, Stephanie Kramer-Schadt, Sofia Kirke Forslund-Startceva, Emanuel Heitlinger

Abstract read
In one paragraph

Article in ISME communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Víctor Hugo Jarquín-DíazMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC). Robert-Rössle-Str. 10, 13125 Berlin, Germany.
Susana Carolina Martins FerreiraDepartment of Molecular Parasitology, Institute for Biology, Humboldt University Berlin (HU). Philippstr. 13, Haus 14, 10115, Berlin, Germany.
Alice BalardLeibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Straße 17, 10315, Berlin, Germany.
Ľudovít ĎurejeResearch Facility Studenec, Institute of Vertebrate Biology, Czech Academy of Sciences, Květná 8, 60365, Brno, Czech Republic.
Milos MacholánLaboratory of Mammalian Evolutionary Genetics, Institute of Animal Physiology and Genetics, Czech Academy of Sciences, Veveri 97, 60200, Brno, Czech Republic.
Jaroslav PiálekResearch Facility Studenec, Institute of Vertebrate Biology, Czech Academy of Sciences, Květná 8, 60365, Brno, Czech Republic.
Johan Bengtsson-PalmeDivision of Systems and Synthetic Biology, Department of Life Sciences, SciLifeLab, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.
Stephanie Kramer-SchadtLeibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Straße 17, 10315, Berlin, Germany.
Sofia Kirke Forslund-StartcevaMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC). Robert-Rössle-Str. 10, 13125 Berlin, Germany.
Emanuel HeitlingerLeibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Straße 17, 10315, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a priority public health problem resulting from eco-evolutionary dynamics within microbial communities and their interaction at a mammalian host interface or geographical scale. The links between mammalian host genetics, bacterial gut community, and antimicrobial resistance gene (ARG) content must be better understood in natural populations inhabiting heterogeneous environments. Hybridization, the interbreeding of genetically divergent populations, influences different components of the gut microbial communities. However, its impact on bacterial traits such as antibiotic resistance is unknown. Here, we present that hybridization might shape bacterial communities and ARG occurrence. We used amplicon sequencing to study the gut microbiome and to predict ARG composition in natural populations of house mice (

Indexed as

antimicrobial resistance genehybridizationmicemicrobiome

Identifiers

PMID38800129
PMCPMC11128261

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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.