Evidence map›Paper›PMID 35394868›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics.

Daniel R Amor, Jeff Gore

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. NovelFrontiers in microbiology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Antibiotic perturbations to the gut microbiome.Nature reviews. Microbiology · 2023
    Review
  15. Article
  16. Antibiotic resistance in bacterial communities.Current opinion in microbiology · 2023
    Review
  17. Article
  18. 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.

Daniel R AmorPhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-4659-330X
Jeff GorePhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.

Funding

Environmental modulation of microbial conflict and cooperationR01GM102311 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GORE, JEFF · 2013 to 2020
$2.3M
HHS | National Institutes of Health (NIH) R01-GM102311NIGMS NIH HHS R01 GM102311
6 · The paper itself

Abstract

Microbial communities often face external perturbations that can induce lasting changes in their composition and functions. Our understanding of how multispecies communities respond to perturbations such as antibiotics is limited, with susceptibility assays performed on individual, isolated species our primary guide in predicting community transitions. Here, we studied how bacterial growth dynamics can overcome differences in antibiotic susceptibility in determining community resilience: the recovery of the original community state following antibiotic exposure. We used an experimental community containing Corynebacterium ammoniagenes and Lactobacillus plantarum that displays two alternative stable states as a result of mutual inhibition. Although C. ammoniagenes was more susceptible to chloramphenicol in monocultures, we found that chloramphenicol exposure nonetheless led to a transition from the L. plantarum-dominated to the C. ammoniagenes-dominated community state. Combining theory and experiments, we demonstrated that growth rate differences between the two species made the L. plantarum-dominated community less resilient to several antibiotics with different mechanisms of action. Taking advantage of an observed cooperativity—a dependence on population abundance—in the growth of C. ammoniagenes, we next analyzed in silico scenarios that could compromise the high resilience of the C. ammoniagenes-dominated state. The model predicted that lowering the dispersal rate, through interacting with the growth at low population densities, could make the C. ammoniagenes state fragile against virtually any kind of antibiotic, a prediction that we confirmed experimentally. Our results highlight that species susceptibility to antibiotics is often uninformative of community resilience, as growth dynamics in the wake of antibiotic exposure can play a dominant role.

Indexed as

Anti-Bacterial AgentsCorynebacteriumDrug Resistance, MicrobialLactiplantibacillus plantarumMicrobiotaAdaptation, PhysiologicalAnti-Bacterial Agentsalternative stable statesantibioticscommunity dynamicsmicrobial communitiesresilience

Identifiers

PMID35394868
PMCPMC9169654

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.