Evidence map›Paper›PMID 35591787›Full record

ArticleBiophysical journal2022

Mechanical limitation of bacterial motility mediated by growing cell chains.

Sean G McMahon, Stephen B Melville, Jing Chen

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Journal of bacteriology · 2023
    Article
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

3 authors at 1 institution in 1 country.

Sean G McMahonDepartment of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia.
Stephen B MelvilleDepartment of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia; Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia. Electronic address: melville@vt.edu.
Jing ChenDepartment of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia; Fralin Life Sciences Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia. Electronic address: chenjing@vt.edu.
Virginia Tech · US

Funding

Mathematical modeling of spatiotemporal and mechanical processes in cellular functionsR35GM138370 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Jing Chen · 2020 to 2026
$2.0M
Characterization of a Type II secretion system in a Gram-positive pathogenR21AI109391 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MELVILLE, STEPHEN · 2014 to 2015
$413k
The role of the Type IV pili ATPase PilT as a surface sensor in regulating cell divisionR21AI149177 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MELVILLE, STEPHEN · 2021 to 2022
$409k
NIAID NIH HHS R21 AI109391NIAID NIH HHS R21 AI149177NIGMS NIH HHS R35 GM138370
6 · The paper itself

Abstract

Contrasting most known bacterial motility mechanisms, a bacterial sliding motility discovered in at least two gram-positive bacterial families does not depend on designated motors. Instead, the cells maintain end-to-end connections following cell divisions to form long chains and exploit cell growth and division to push the cells forward. To investigate the dynamics of this motility mechanism, we constructed a mechanical model that depicts the interplay of the forces acting on and between the cells comprising the chain. Due to the exponential growth of individual cells, the tips of the chains can, in principle, accelerate to speeds faster than any known single-cell motility mechanism can achieve. However, analysis of the mechanical model shows that the exponential acceleration comes at the cost of an exponential buildup in mechanical stress in the chain, making overly long chains prone to breakage. Additionally, the mechanical model reveals that the dynamics of the chain expansion hinges on a single non-dimensional parameter. Perturbation analysis of the mechanical model further predicts the critical stress leading to chain breakage and its dependence on the non-dimensional parameter. Finally, we developed a simplistic population-expansion model that uses the predicted breaking behavior to estimate the physical limit of chain-mediated population expansion. Predictions from the models provide critical insights into how this motility depends on key physical properties of the cell and the substrate. Overall, our models present a generically applicable theoretical framework for cell-chain-mediated bacterial sliding motility and provide guidance for future experimental studies on such motility.

Indexed as

BacteriaCell ProliferationHumansStress, Mechanical

Identifiers

PMID35591787
PMCPMC9279174
OpenAlexW4280521638

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.