Evidence map›Paper›PMID 41256655›Full record

ArticlebioRxiv : the preprint server for biology2025

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Tuan PhanDepartment of Mathematics, Augusta University, Augusta, USA.ORCID 0000-0002-4158-5493
Anuja ShresthaDepartment of Animal Veterinary and Food Sciences, University of Idaho, Moscow, USA.
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.ORCID 0000-0003-4644-8743
James T Van LeuvenInstitute for Modeling Collaboration and Innovation, University of Idaho, Moscow, USA.ORCID 0000-0002-2730-0287

Funding

Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI WICHMAN, HOLLY A · 2015 to 2024
$22.9M
NIGMS NIH HHS P20 GM104420
6 · The paper itself

Abstract

The antagonistic relationship between bacteria and bacteriophages (phages) drives genetic changes that result in phage resistance. Phage resistance mutations arise in natural microbial communities and during the treatment of diseases with phages (phage therapy), making it important to understand the dynamics of resistance acquisition. It is well-established that when bacteria are challenged with phages in dense liquid cultures, bacterial populations quickly become dominated by phage-resistant variants. However, these conditions-well-mixed liquid cultures with high phage concentrations-are not necessarily common in microbial ecosystems. We developed a simplified mathematical model of phage resistance evolution to explore how phage and host concentration impact the dynamics of resistance evolution. The model was parameterized with microbial growth data from two pathogens and their phages:

Indexed as

Bacteriophage resistance evolutioncompetitive dynamicsfitness costs of resistancegeneralized Lotka-Volterra (gLV)multiplicity of infectionordinary differential equations

Identifiers

PMID41256655
PMCPMC12621958

What OpenQuestion holds

Textmetadata
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.