Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gene Regulation in Microbial Communities: Quorum Sensing01:28

Gene Regulation in Microbial Communities: Quorum Sensing

Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Microbial Interactions: Cooperation01:26

Microbial Interactions: Cooperation

Microbial cooperation involves beneficial interactions in which different species work together for individual or mutual advantage. These interactions can profoundly influence ecological dynamics and evolutionary processes, and they are essential to many pathogenic and symbiotic relationships.Nematode–Bacteria CooperationA striking example is the relationship between the Gram-negative bacterium Xenorhabdus nematophila and the parasitic nematode Steinernema carpocapsae. Juvenile nematodes...
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Chemotaxis in E. coli01:27

Chemotaxis in E. coli

Chemotaxis in Escherichia coli is a sensory-driven motility mechanism that enables bacteria to navigate chemical gradients, moving toward beneficial environments while avoiding harmful conditions. This process relies on a signal transduction system integrating external chemical cues with flagellar motor control.Chemoreceptors and Signal DetectionE. coli detects chemical gradients through methyl-accepting chemotaxis proteins (MCPs), which are membrane-bound chemoreceptors that sense attractants...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A single-center retrospective study of a decade-long experience in managing pediatric lymphatic malformation.

BMC pediatrics·2026
Same author

Engineering bio-selectivity: Novel denture coatings for targeted inhibition of denture-associated pathogens.

Dental materials journal·2026
Same author

Disruptive innovation events in dentistry.

JADA foundational science·2026
Same author

RadD from <i>Fusobacterium nucleatum</i> engages NKp46 to promote antitumor cytotoxicity.

eLife·2026
Same author

Watchful Waiting in Children with Unifocal Osseous Langerhans Cell Histiocytosis.

The oncologist·2026
Same author

CAFs-derived LAM332 promotes CTCs formation and survival via ITGA3 and contributes to the metastasis of pancreatic ductal adenocarcinoma.

Cell death & disease·2026

Related Experiment Video

Updated: May 30, 2026

Fluorescence Live-cell Imaging of the Complete Vegetative Cell Cycle of the Slow-growing Social Bacterium Myxococcus xanthus
11:45

Fluorescence Live-cell Imaging of the Complete Vegetative Cell Cycle of the Slow-growing Social Bacterium Myxococcus xanthus

Published on: June 20, 2018

Experimentally guided computational model discovers important elements for social behavior in myxobacteria.

Melisa Hendrata1, Zhe Yang, Renate Lux

  • 1Department of Mathematics, California State University Los Angeles, Los Angeles, California, United States of America. mhendra@calstatela.edu

Plos One
|August 4, 2011
PubMed
Summary

Researchers developed a computational model for Myxococcus xanthus social behaviors. The model identified "active turning" as a key factor in cell aggregation and movement, aiding in phenotype prediction.

More Related Videos

Recording Multicellular Behavior in Myxococcus xanthus Biofilms using Time-lapse Microcinematography
10:59

Recording Multicellular Behavior in Myxococcus xanthus Biofilms using Time-lapse Microcinematography

Published on: August 6, 2010

The Large-Scale Cultivation of Nematodes to Study Their Collective Behaviors
03:32

The Large-Scale Cultivation of Nematodes to Study Their Collective Behaviors

Published on: August 25, 2023

Related Experiment Videos

Last Updated: May 30, 2026

Fluorescence Live-cell Imaging of the Complete Vegetative Cell Cycle of the Slow-growing Social Bacterium Myxococcus xanthus
11:45

Fluorescence Live-cell Imaging of the Complete Vegetative Cell Cycle of the Slow-growing Social Bacterium Myxococcus xanthus

Published on: June 20, 2018

Recording Multicellular Behavior in Myxococcus xanthus Biofilms using Time-lapse Microcinematography
10:59

Recording Multicellular Behavior in Myxococcus xanthus Biofilms using Time-lapse Microcinematography

Published on: August 6, 2010

The Large-Scale Cultivation of Nematodes to Study Their Collective Behaviors
03:32

The Large-Scale Cultivation of Nematodes to Study Their Collective Behaviors

Published on: August 25, 2023

Area of Science:

  • Microbiology
  • Computational Biology
  • Systems Biology

Background:

  • Cellular interactions and collective movement are crucial for bacterial phenotypes.
  • Myxococcus xanthus exhibits complex social behaviors, including aggregation during development.

Purpose of the Study:

  • To develop a cell-based computational model for Myxococcus xanthus.
  • To identify minimal parameters driving social behaviors in M. xanthus.
  • To validate the model against experimental data and predict mutant phenotypes.

Main Methods:

  • Developed a computational model using experimentally determined parameters.
  • Simulated cellular interactions and movement patterns.
  • Validated model predictions against known M. xanthus mutants.

Main Results:

  • The model successfully reproduced gliding patterns and spontaneous aggregation.
  • Identified 'active turning' as a novel essential parameter for social behavior.
  • Model modifications accurately predicted phenotypes of tested mutants.

Conclusions:

  • The computational model effectively captures essential elements of M. xanthus social behavior.
  • 'Active turning' is a significant factor in aggregation and development.
  • The model shows strong potential for predicting phenotypes of uncharacterized mutants.