Evidence map›Paper›PMID 42622694›Full record

ArticleBulletin of mathematical biology2026

Bacteriophage Density Influences the Rate of Resistance Evolution.

Tuan Phan, Anuja Shrestha, Jacob Schow, Craig R Miller, Tracey L Peters, James T Van Leuven

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Tuan PhanDepartment of Mathematics, Augusta University, Augusta, USA.
Anuja ShresthaDepartment of Animal Veterinary and Food Sciences, University of Idaho, Moscow, USA.ORCID http://orcid.org/0009-0004-1618-8826
Jacob SchowDepartment of Biological Sciences, University of Idaho, Moscow, USA.
Craig R MillerInstitute for Modeling Collaboration and Innovation, University of Idaho, Moscow, USA.
Tracey L PetersInstitute for Modeling Collaboration and Innovation, University of Idaho, Moscow, USA.
James T Van LeuvenInstitute for Modeling Collaboration and Innovation, University of Idaho, Moscow, USA. jvanleuven@uidaho.edu.ORCID http://orcid.org/0000-0002-2730-0287

Funding

Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI MILLER, CRAIG R · 2015 to 2024
$22.9M
National Institute of Food and Agriculture 2023-67013-39067NIGMS NIH HHS P20 GM104420NIGMS NIH HHS P20GM104420
6 · The paper itself

Abstract

The antagonistic relationship between bacteria and bacteriophages (phages) drives genetic changes that result in phage resistance, making it important to understand the dynamics of resistance acquisition in both natural microbial communities and therapeutic contexts. We developed a generalized Lotka-Volterra model describing the interaction among phage-susceptible bacteria, phage-resistant bacteria, and a lytic phage, incorporating asymmetric interspecific competition and partial phage resistance. The model was fitted to growth data from four bacterial strains-Pseudomonas aeruginosa PA103 and PAK challenged with a phage cocktail, and Paenibacillus larvae Y-3650 and 25747 challenged with phage Fern IDv1-across four levels of multiplicity of infection (MOI). We compared two parameterization schemes: M1, in which the interspecific competition coefficients

Indexed as

BacteriophagesModels, BiologicalAnimalsBiological EvolutionComputer SimulationMathematical ConceptsPaenibacillusPseudomonas aeruginosaBacteriophage resistance evolutionCompetitive dynamicsFitness costs of resistanceGeneralized Lotka-Volterra (gLV)Multiplicity of infectionOrdinary differential equationsPhage-density-dependent competitionProfile likelihood

Identifiers

PMID42622694
PMCPMC13493482

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.