Evidence map›Paper›PMID 40459279›Full record

ArticlemSphere2025

The transfer of antibiotic resistance genes between evolutionarily distant bacteria.

Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D G Joakim Larsson, Anna Johnning, Erik Kristiansson

Abstract read
In one paragraph

Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Antibiotic Resistance in Dentistry: A Review.Antibiotics (Basel, Switzerland) · 2025
    Review
  10. Article
  11. Review
  12. 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

6 authors.

Marcos Parras-MoltóDepartment of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, Sweden.
David LundDepartment of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-4075-7529
Stefan EbmeyerCentre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Gothenburg, Sweden.
D G Joakim LarssonCentre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-5496-0328
Anna JohnningDepartment of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-2185-2432
Erik KristianssonDepartment of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-8609-2414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections from antibiotic-resistant bacteria threaten human health globally. Resistance is often caused by mobile antibiotic resistance genes (ARGs) shared horizontally between bacterial genomes. Many ARGs originate from environmental and commensal bacteria and are transferred between divergent bacterial hosts before they reach pathogens. This process remains, however, poorly understood, which complicates the development of countermeasures that reduce the spread of ARGs. In this study, we aimed to systematically analyze the ARGs transferred between the most evolutionarily distant bacteria, defined here based on their phylum. We implemented an algorithm that identified inter-phylum transfers (IPTs) by combining ARG-specific phylogenetic trees with the taxonomy of the bacterial hosts. From the analysis of almost 1 million ARGs identified in >400,000 bacterial genomes, we identified 661 IPTs, which included transfers between all major bacterial phyla. The frequency of IPTs varies substantially between ARG classes and was highest for the aminoglycoside resistance gene AAC(3), while the levels for beta-lactamases were generally lower. ARGs involved in IPTs also differed between phyla, where, for example, tetracycline ARGs were commonly transferred between Firmicutes and Proteobacteria, but rarely between Actinobacteria and Proteobacteria. The results, furthermore, show that conjugative systems are seldom shared between bacterial phyla, suggesting that other mechanisms drive the dissemination of ARGs between divergent hosts. We also show that bacterial genomes involved in IPTs of ARGs are either over- or underrepresented in specific environments. These IPTs were also found to be more recent compared to transfers associated with bacteria isolated from water, soil, and sediment. While macrolide and tetracycline ARGs involved in IPTs almost always were >95% identical between phyla, corresponding β-lactamases showed a median identity of <60%. We conclude that inter-phylum transfer is recurrent, and our results offer new insights into how ARGs are disseminated between evolutionarily distant bacteria. IMPORTANCE: Antibiotic-resistant infections pose a growing threat to global health. This study reveals how genes conferring antibiotic resistance can move between bacteria that belong to different phyla lineages previously thought to be too evolutionarily distant for frequent gene exchange. By analyzing nearly 1 million resistance genes from over 400,000 bacterial genomes, the researchers uncovered hundreds of inter-phylum transfer events, exposing surprising patterns in how different classes of resistance genes spread. The findings highlight that conjugative systems are less common than expected in cross-phyla transfers and suggest that alternative mechanisms may play key roles. This new understanding of how resistance genes leap between vastly different bacterial groups can inform strategies to slow the emergence of drug-resistant infections, aiding in the development of more effective public health interventions.

Indexed as

BacteriaDrug Resistance, BacterialGenes, BacterialGene Transfer, HorizontalAnti-Bacterial AgentsEvolution, MolecularGenome, BacterialHumansPhylogenyAnti-Bacterial Agentsantibioticsbacteriaenvironments

Identifiers

PMID40459279
PMCPMC12188727

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.