ArticlePhysical review letters2018
Tuning Spatial Profiles of Selection Pressure to Modulate the Evolution of Drug Resistance.
Article in Physical review letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed, 46 citations in OpenAlex.
- Collateral sensitivity-harnessing microbial vulnerabilities as a solution to antimicrobial resistance.Molecular biology reports · 2026Review
- Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.PLoS computational biology · 2026Article
- Deciphering and steering population-level response under spatial drug heterogeneity on microhabitat structures.bioRxiv : the preprint server for biology · 2025Article
- Dynamic collateral sensitivity profiles highlight opportunities and challenges for optimizing antibiotic treatments.PLoS biology · 2025Article
- Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.bioRxiv : the preprint server for biology · 2024Article
- Modeling spatial evolution of multi-drug resistance under drug environmental gradients.PLoS computational biology · 2024Article
- Redefining clinical practice through spatial profiling: a revolution in tissue analysis.Annals of the Royal College of Surgeons of England · 2024Article
- Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance.bioRxiv : the preprint server for biology · 2024Article
- Modeling spatial evolution of multi-drug resistance under drug environmental gradients.bioRxiv : the preprint server for biology · 2023Article
- Bacterial motility can govern the dynamics of antibiotic resistance evolution.Nature communications · 2023Article
- Mutators can drive the evolution of multi-resistance to antibiotics.PLoS genetics · 2023Article
- Spatial segregation and cooperation in radially expanding microbial colonies under antibiotic stress.The ISME journal · 2021Article
- Article
- Evolution in alternating environments with tunable interlandscape correlations.Evolution; international journal of organic evolution · 2021Article
- Population structure across scales facilitates coexistence and spatial heterogeneity of antibiotic-resistant infections.PLoS computational biology · 2020Article
- Tuning environmental timescales to evolve and maintain generalists.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Using Selection by Nonantibiotic Stressors to Sensitize Bacteria to Antibiotics.Molecular biology and evolution · 2020Article
- Article
- Antibiotic interactions shape short-term evolution of resistance in E. faecalis.PLoS pathogens · 2020Article
- Stochastic fluctuations in apoptotic threshold of tumour cells can enhance apoptosis and combat fractional killing.Royal Society open science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Spatial heterogeneity plays an important role in the evolution of drug resistance. While recent studies have indicated that spatial gradients of selection pressure can accelerate resistance evolution, much less is known about evolution in more complex spatial profiles. Here we use a stochastic toy model of drug resistance to investigate how different spatial profiles of selection pressure impact the time to fixation of a resistant allele. Using mean first passage time calculations, we show that spatial heterogeneity accelerates resistance evolution when the rate of spatial migration is sufficiently large relative to mutation but slows fixation for small migration rates. Interestingly, there exists an intermediate regime-characterized by comparable rates of migration and mutation-in which the rate of fixation can be either accelerated or decelerated depending on the spatial profile, even when spatially averaged selection pressure remains constant. Finally, we demonstrate that optimal tuning of the spatial profile can dramatically slow the spread and fixation of resistant subpopulations, even in the absence of a fitness cost for resistance. Our results may lay the groundwork for optimized, spatially resolved drug dosing strategies for mitigating the effects of drug resistance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.