Evidence map›Paper›PMID 24810164›Full record

ArticlePLoS computational biology2014

Myxococcus xanthus gliding motors are elastically coupled to the substrate as predicted by the focal adhesion model of gliding motility.

Rajesh Balagam, Douglas B Litwin, Fabian Czerwinski, Mingzhai Sun, Heidi B Kaplan, Joshua W Shaevitz, Oleg A Igoshin

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Dissecting the physics of bacterial biofilms with agent-based simulations.Current opinion in solid state & materials science · 2025
    Article
  4. A geometrical theory of gliding motility based on cell shape and surface flow.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Mechanisms for bacterial gliding motility on soft substrates.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Article
  19. MotAB-like machinery drives the movement of MreB filaments during bacterial gliding motility.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. 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

7 authors at 2 institutions in 1 country.

Rajesh BalagamDepartment of Bioengineering, Rice University, Houston, Texas, United States of America.
Douglas B LitwinDepartment of Microbiology and Molecular Genetics, University of Texas - Houston Medical School, Houston, Texas, United States of America.
Fabian CzerwinskiDepartment of Physics and the Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Mingzhai SunDepartment of Physics and the Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Heidi B KaplanDepartment of Microbiology and Molecular Genetics, University of Texas - Houston Medical School, Houston, Texas, United States of America.
Joshua W ShaevitzDepartment of Physics and the Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Oleg A IgoshinDepartment of Bioengineering, Rice University, Houston, Texas, United States of America.
Princeton University · USRice University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myxococcus xanthus is a model organism for studying bacterial social behaviors due to its ability to form complex multi-cellular structures. Knowledge of M. xanthus surface gliding motility and the mechanisms that coordinated it are critically important to our understanding of collective cell behaviors. Although the mechanism of gliding motility is still under investigation, recent experiments suggest that there are two possible mechanisms underlying force production for cell motility: the focal adhesion mechanism and the helical rotor mechanism, which differ in the biophysics of the cell-substrate interactions. Whereas the focal adhesion model predicts an elastic coupling, the helical rotor model predicts a viscous coupling. Using a combination of computational modeling, imaging, and force microscopy, we find evidence for elastic coupling in support of the focal adhesion model. Using a biophysical model of the M. xanthus cell, we investigated how the mechanical interactions between cells are affected by interactions with the substrate. Comparison of modeling results with experimental data for cell-cell collision events pointed to a strong, elastic attachment between the cell and substrate. These results are robust to variations in the mechanical and geometrical parameters of the model. We then directly measured the motor-substrate coupling by monitoring the motion of optically trapped beads and find that motor velocity decreases exponentially with opposing load. At high loads, motor velocity approaches zero velocity asymptotically and motors remain bound to beads indicating a strong, elastic attachment.

Indexed as

Models, BiologicalBacterial AdhesionBacterial ProteinsComputer SimulationElastic ModulusFocal AdhesionsFrictionMolecular Motor ProteinsMotionMyxococcus xanthusViscosityBacterial ProteinsMolecular Motor Proteins

Identifiers

PMID24810164
PMCPMC4014417
OpenAlexW2130597362

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.