Evidence map›Paper›PMID 37300250›Full record

ArticleBiophysical journal2023

Signaling in microbial communities with open boundaries.

James J Winkle, Soutick Saha, Joseph Essman, Matthew R Bennett, William Ott, Krešimir Josić, Andrew Mugler

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2023. 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
0.1field-weighted citation impact, top 62% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

James J WinkleDepartment of Mathematics, University of Houston, Houston, Texas.
Soutick SahaDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana.
Joseph EssmanDepartment of BioSciences, Rice University, Houston, Texas.
Matthew R BennettDepartment of BioSciences, Rice University, Houston, Texas. Electronic address: matthew.bennett@rice.edu.
William OttDepartment of Mathematics, University of Houston, Houston, Texas. Electronic address: ott@math.uh.edu.
Krešimir JosićDepartment of Mathematics, University of Houston, Houston, Texas; Department of BioSciences, Rice University, Houston, Texas; Department of Biology and Biochemistry, University of Houston, Houston, Texas. Electronic address: kjosic@uh.edu.
Andrew MuglerDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana; Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: andrew.mugler@pitt.edu.
University of Houston · USRice University · USPurdue University West Lafayette · USUniversity of Pittsburgh · US

Funding

Dynamics and pattern formation in differentiating cellular populationsR01GM144959 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R. · 2021 to 2024
$1.2M
NIGMS NIH HHS R01 GM144959
6 · The paper itself

Abstract

Microbial communities such as swarms or biofilms often form at the interfaces of solid substrates and open fluid flows. At the same time, in laboratory environments these communities are commonly studied using microfluidic devices with media flows and open boundaries. Extracellular signaling within these communities is therefore subject to different constraints than signaling within classic, closed-boundary systems such as developing embryos or tissues, yet is understudied by comparison. Here, we use mathematical modeling to show how advective-diffusive boundary flows and population geometry impact cell-cell signaling in monolayer microbial communities. We reveal conditions where the intercellular signaling lengthscale depends solely on the population geometry and not on diffusion or degradation, as commonly expected. We further demonstrate that diffusive coupling with the boundary flow can produce signal gradients within an isogenic population, even when there is no flow within the population. We use our theory to provide new insights into the signaling mechanisms of published experimental results, and we make several experimentally verifiable predictions. Our research highlights the importance of carefully evaluating boundary dynamics and environmental geometry when modeling microbial cell-cell signaling and informs the study of cell behaviors in both natural and synthetic systems.

Indexed as

MicrobiotaModels, TheoreticalBiofilmsCell CommunicationSignal Transduction

Identifiers

PMID37300250
PMCPMC10397789
OpenAlexW4379879523

What OpenQuestion holds

Textmetadata
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.