Evidence map›Paper›PMID 42477330›Full record

ArticleNPJ systems biology and applications2026

Study of wrap mode impact on Pseudomonas aeruginosa motion in the chemotactic field of fungi.

Austin Hansen, Alireza Ramezani, Dale A Pelletier, Tomás A Rush, Roya Zandi, Yi-Syuan Guo, Huijing Du, William Cannon, Mark Alber

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2026. 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

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

9 authors.

Austin Hansen *Department of Mathematics, University of California, Riverside, CA, USA.
Alireza Ramezani *Interdisciplinary Center for Data-driven Modeling in Biology, University of California, Riverside, CA, USA.
Dale A PelletierBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Tomás A RushBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Roya ZandiInterdisciplinary Center for Data-driven Modeling in Biology, University of California, Riverside, CA, USA.
Yi-Syuan GuoBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Huijing DuDepartment of Mathematics, University of Nebraska-Lincoln, Lincoln, NE, USA.
William CannonDepartment of Mathematics, University of California, Riverside, CA, USA.
Mark AlberDepartment of Mathematics, University of California, Riverside, CA, USA. mark.alber@ucr.edu.

Funding

Fulbright U.S. Scholar Program 13248-NLNational Science Foundation DMR-2131963National Science Foundation DMS-2029814U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research contract number PNNL 74860
6 · The paper itself

Abstract

An agent-based discrete computational model biologically calibrated to Pseudomonas aeruginosa migration is used to explore the impacts of bacterial reversals and wrap mode on the efficiency of motion in different environments, both with and without chemotaxis. It is first shown that wrap mode increases the exploration of continuous multimodal chemotactic profiles such as those produced by biologically relevant fungal networks. For cells undergoing a run-reverse pattern, it is shown that the bacteria are likely to remain at the first local chemoattractant maximal production site on a hypha they find. However, with wrap mode, the bacteria can more easily escape these local sites to further explore their neighboring environment along the fungi, suggesting that wrap mode may be beneficial for migration along the fungi in liquid. In a different set of simulations of bacterial motion close to an isolated chemotactic source, wrap mode is shown to increase the ability of a bacterium to reorient toward the source while reducing the overall motion required for similar chemotactic efficiency as a run-reverse strategy, suggesting a potential metabolic benefit. In contrast, model simulations show that wrap mode can increase the rate of dispersal of P. aeruginosa in a nonchemotactic environment.

Indexed as

ChemotaxisFungiPseudomonas aeruginosaComputer SimulationModels, Biological

Identifiers

PMID42477330
PMCPMC13627651

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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.