Evidence map›Paper›PMID 33856558›Full record

ArticleBulletin of mathematical biology2021

A Two-Dimensional Model of Potassium Signaling and Oscillatory Growth in a Biofilm.

Noah Ford, Garth Fisher, Arthur Prindle, David Chopp

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Noah FordEngineering Sciences and Applied Mathematics Department, Northwestern University, Evanston, IL, 60208, USA. noahford2020@u.northwestern.edu.ORCID http://orcid.org/0000-0001-6521-848X
Garth FisherDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Arthur PrindleDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
David ChoppEngineering Sciences and Applied Mathematics Department, Northwestern University, Evanston, IL, 60208, USA.
Northwestern University · US

Funding

CELLULAR &MOLECULAR BASIS OF DISEASE TRAINING PROGRAMT32GM008061 · NIGMS · NORTHWESTERN UNIVERSITY · PI CARTHEW, RICHARD W. · 1985 to 2022
$17.1M
NIGMS NIH HHS T32 GM008061
6 · The paper itself

Abstract

Biofilms are complex communities of bacteria that exhibit a variety of collective behaviors. These behaviors improve their ability to survive in many different environments. One of these collective behaviors seen in Bacillus subtilis is the ability for starving cells to stop the growth of other cells using potassium signaling and voltage changes. This signaling produces an oscillatory growth pattern so that during periods of low growth the nutrients diffuse deeper into the biofilm and reach the nutrient-starved, interior regions of the biomass. In this paper, we develop a mathematical model to describe this oscillatory behavior, and we use this model to develop a two-dimensional simulation that reproduces many of the important features seen in the experimental data. This simulation allows us to examine the spatial patterning of the oscillatory behavior to better understand the relationships between the various regions of the biofilm. Studying the spatial components of the metabolic and voltage oscillations could allow for the development of new control techniques for biofilms with complex shapes.

Indexed as

Bacterial Physiological PhenomenaBiofilmsModels, BiologicalPotassiumSignal TransductionBacillus subtilisPotassiumBiofilmsMathematical modelingOscillatory behavior

Identifiers

PMID33856558
PMCPMC8857140
OpenAlexW3155067531

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.