Evidence map›Paper›PMID 22711808›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

On the rapidity of antibiotic resistance evolution facilitated by a concentration gradient.

Rutger Hermsen, J Barrett Deris, Terence Hwa

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
12.0field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 208 citations in OpenAlex.

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  13. 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
  14. Insights into antibiotic resistance promoted by quinolone exposure.Antimicrobial agents and chemotherapy · 2025
    Article
  15. Microbial culture vs. mNGS: diagnostic variations in periprosthetic joint infection.Frontiers in cellular and infection microbiology · 2025
    Article
  16. Article
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38 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Rutger HermsenCenter for Theoretical Biological Physics and Department of Physics, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0374, USA. hermsen@ctbp.ucsd.edu
J Barrett Deris
Terence Hwa
Center for Theoretical Biological Physics · USUniversity of Illinois Urbana-Champaign · US

Funding

TRANS_NETWORK PROJECTSU54CA143803 · NCI · PRINCETON UNIVERSITY · PI TLSTY, THEA D · 2009 to 2013
$14.2M
Quantitative Studies of Bacterial Growth PhysiologyR01GM095903 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2011 to 2023
$3.8M
NCI NIH HHS 1 U54 CA143803NCI NIH HHS U54 CA143803NIGMS NIH HHS R01 GM095903NIGMS NIH HHS R01GM-095903
6 · The paper itself

Abstract

The rapid emergence of bacterial strains resistant to multiple antibiotics is posing a growing public health risk. The mechanisms underlying the rapid evolution of drug resistance are, however, poorly understood. The heterogeneity of the environments in which bacteria encounter antibiotic drugs could play an important role. E.g., in the highly compartmentalized human body, drug levels can vary substantially between different organs and tissues. It has been proposed that this could facilitate the selection of resistant mutants, and recent experiments support this. To study the role of spatial heterogeneity in the evolution of drug resistance, we present a quantitative model describing an environment subdivided into relatively isolated compartments with various antibiotic concentrations, in which bacteria evolve under the stochastic processes of proliferation, migration, mutation and death. Analytical and numerical results demonstrate that concentration gradients can foster a mode of adaptation that is impossible in uniform environments. It allows resistant mutants to evade competition and circumvent the slow process of fixation by invading compartments with higher drug concentrations, where less resistant strains cannot subsist. The speed of this process increases sharply with the sensitivity of the growth rate to the antibiotic concentration, which we argue to be generic. Comparable adaptation rates in uniform environments would require a high selection coefficient (s > 0.1) for each forward mutation. Similar processes can occur if the heterogeneity is more complex than just a linear gradient. The model may also be applicable to other adaptive processes involving environmental heterogeneity and range expansion.

Indexed as

Bacterial InfectionsBiological EvolutionModels, BiologicalAdaptation, PhysiologicalAnti-Bacterial AgentsBacteriaDrug Resistance, BacterialEcologyHumansStochastic ProcessesTissue DistributionAnti-Bacterial Agents

Identifiers

PMID22711808
PMCPMC3390829
OpenAlexW2020281792

What OpenQuestion holds

Textmetadata
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.