Evidence map›Paper›PMID 38877321›Full record

ArticleMolecular systems biology2024

A 'rich-get-richer' mechanism drives patchy dynamics and resistance evolution in antibiotic-treated bacteria.

Emrah Şimşek, Kyeri Kim, Jia Lu, Anita Silver, Nan Luo, Charlotte T Lee, Lingchong You

Abstract read
In one paragraph

Article in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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
  5. 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

7 authors.

Emrah ŞimşekDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0003-4550-7158
Kyeri KimDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0003-1503-9090
Jia LuDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0001-7363-5398
Anita SilverDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0002-7144-4122
Nan LuoDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Charlotte T LeeCenter for Quantitative Biodesign, Duke University, Durham, NC, 27708, USA.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA. you@duke.edu.ORCID http://orcid.org/0000-0003-3725-4007

Funding

Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
DOD | USN | Office of Naval Research (ONR) N00014-12-1-0631Foundation for the National Institutes of Health (FNIH) R01GM098642National Science Foundation (NSF) MCB-1937259NIGMS NIH HHS R01 GM098642
6 · The paper itself

Abstract

Bacteria in nature often form surface-attached communities that initially comprise distinct subpopulations, or patches. For pathogens, these patches can form at infection sites, persist during antibiotic treatment, and develop into mature biofilms. Evidence suggests that patches can emerge due to heterogeneity in the growth environment and bacterial seeding, as well as cell-cell signaling. However, it is unclear how these factors contribute to patch formation and how patch formation might affect bacterial survival and evolution. Here, we demonstrate that a 'rich-get-richer' mechanism drives patch formation in bacteria exhibiting collective survival (CS) during antibiotic treatment. Modeling predicts that the seeding heterogeneity of these bacteria is amplified by local CS and global resource competition, leading to patch formation. Increasing the dose of a non-eradicating antibiotic treatment increases the degree of patchiness. Experimentally, we first demonstrated the mechanism using engineered Escherichia coli and then demonstrated its applicability to a pathogen, Pseudomonas aeruginosa. We further showed that the formation of P. aeruginosa patches promoted the evolution of antibiotic resistance. Our work provides new insights into population dynamics and resistance evolution during surface-attached bacterial growth.

Indexed as

Anti-Bacterial AgentsBiofilmsDrug Resistance, BacterialEscherichia coliPseudomonas aeruginosaBiological EvolutionModels, BiologicalAnti-Bacterial AgentsAntibiotic resistanceCollective survivalInteraction length scalesPatchinessSpatial population dynamics

Identifiers

PMID38877321
PMCPMC11297297

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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.