Evidence map›Paper›PMID 37380830›Full record

ArticleThe ISME journal2023

Antibiotic-degrading resistance changes bacterial community structure via species-specific responses.

Ayush Pathak, Daniel C Angst, Ricardo León-Sampedro, Alex R Hall

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
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

22 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Cooperative antibiotic response in coupled biofilm and planktonicbioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Review
  6. Article
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  8. Review
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  14. Animals : an open access journal from MDPI · 2025
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  17. Review
  18. Article
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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 at 1 institution in 1 country.

Ayush PathakInstitute of Integrative Biology, Department of Environmental Systems Science (D-USYS), ETH Zurich, Zurich, Switzerland. ayush.pathak@env.ethz.ch.ORCID http://orcid.org/0000-0002-2161-9561
Daniel C AngstInstitute of Integrative Biology, Department of Environmental Systems Science (D-USYS), ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-6512-4595
Ricardo León-SampedroInstitute of Integrative Biology, Department of Environmental Systems Science (D-USYS), ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5317-8310
Alex R HallInstitute of Integrative Biology, Department of Environmental Systems Science (D-USYS), ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3654-1373
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some bacterial resistance mechanisms degrade antibiotics, potentially protecting neighbouring susceptible cells from antibiotic exposure. We do not yet understand how such effects influence bacterial communities of more than two species, which are typical in nature. Here, we used experimental multispecies communities to test the effects of clinically important pOXA-48-plasmid-encoded resistance on community-level responses to antibiotics. We found that resistance in one community member reduced antibiotic inhibition of other species, but some benefitted more than others. Further experiments with supernatants and pure-culture growth assays showed the susceptible species profiting most from detoxification were those that grew best at degraded antibiotic concentrations (greater than zero, but lower than the starting concentration). This pattern was also observed on agar surfaces, and the same species also showed relatively high survival compared to most other species during the initial high-antibiotic phase. By contrast, we found no evidence of a role for higher-order interactions or horizontal plasmid transfer in community-level responses to detoxification in our experimental communities. Our findings suggest carriage of an antibiotic-degrading resistance mechanism by one species can drastically alter community-level responses to antibiotics, and the identities of the species that profit most from antibiotic detoxification are predicted by their intrinsic ability to survive and grow at changing antibiotic concentrations.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialHumansPlasmidsAnti-Bacterial Agents

Identifiers

PMID37380830
PMCPMC10432403
OpenAlexW4382502430

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.