Evidence map›Paper›PMID 37054512›Full record

ReviewCurrent opinion in microbiology2023

Antibiotic resistance in bacterial communities.

Marlis Denk-Lobnig, Kevin B Wood

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Cooperative antibiotic response in coupled biofilm and planktonicbioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Spatial population dynamics of bacterial colonies with social antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. 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

2 authors.

Marlis Denk-LobnigDepartment of Biophysics, University of Michigan, United States.
Kevin B WoodDepartment of Biophysics, University of Michigan, United States. Electronic address: kbwood@umich.edu.

Funding

Spatiotemporal Dynamics of Collective Antibiotic Resistance in Microbial CommunitiesR35GM124875 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOOD, KEVIN · 2017 to 2024
$2.7M
NIGMS NIH HHS R35 GM124875
6 · The paper itself

Abstract

Bacteria are single-celled organisms, but the survival of microbial communities relies on complex dynamics at the molecular, cellular, and ecosystem scales. Antibiotic resistance, in particular, is not just a property of individual bacteria or even single-strain populations, but depends heavily on the community context. Collective community dynamics can lead to counterintuitive eco-evolutionary effects like survival of less resistant bacterial populations, slowing of resistance evolution, or population collapse, yet these surprising behaviors are often captured by simple mathematical models. In this review, we highlight recent progress - in many cases, advances driven by elegant combinations of quantitative experiments and theoretical models - in understanding how interactions between bacteria and with the environment affect antibiotic resistance, from single-species populations to multispecies communities embedded in an ecosystem.

Indexed as

Anti-Bacterial AgentsMicrobiotaBacteriaDrug Resistance, MicrobialModels, TheoreticalAnti-Bacterial Agents

Identifiers

PMID37054512
PMCPMC10527032

What OpenQuestion holds

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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.