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

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...
Ecological Disturbance02:26

Ecological Disturbance

An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.Ecological disturbances can be caused by an event as small as the trampling of underbrush to an incident as wide-ranging as a forest...
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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...
Microbial Interactions: Mutualism01:25

Microbial Interactions: Mutualism

Mutualism is a symbiotic interaction in which all participating organisms benefit. These relationships can be obligate or facultative and are fundamental to ecosystem functions across diverse biological systems.Plant–Fungi MutualismOne well-known example is the association between plant roots and mycorrhizal fungi, such as Rhizophagus species. The fungal hyphae penetrate the root hairs and the epidermis, forming an extensive hyphal network that establishes a symbiotic association. Through this...
Microbial Interactions: Competition01:26

Microbial Interactions: Competition

Microbial competition is an ecological interaction in which microorganisms vie for limited resources within shared environments. These resources may include nutrients, space, or light, depending on the system. The intensity and outcome of competition are influenced by the environmental context, such as nutrient availability, spatial constraints, and the diversity of microbial species present. These competitive interactions significantly influence the structure, function, and resilience of...

You might also read

Related Articles

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

Sort by
Same author

Symmetry-protected delay spectroscopy in oscillator networks.

Chaos (Woodbury, N.Y.)·2026
Same author

On the efficiency of pairwise Hamiltonian control to desynchronize the higher-order Kuramoto model.

Chaos (Woodbury, N.Y.)·2026
Same author

Ordinal pattern of brain electrical activity as a marker of stroke-induced alterations in motor imagery task.

Chaos (Woodbury, N.Y.)·2026
Same author

Rumor propagation and supervision during confrontation: An importance-driven SIRQS network model.

Chaos (Woodbury, N.Y.)·2026
Same author

Effects of insecticides and awareness on the dynamics of a delayed malaria model: A real-data calibration.

Journal of theoretical biology·2026
Same author

Emergent dynamics in heterogeneous pulsatile swarmalators.

Chaos (Woodbury, N.Y.)·2026

Related Experiment Video

Updated: Jul 10, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

Diffusion-induced instabilities promote cooperation in eco-evolutionary networks.

Sourav Roy1, Md Sayeed Anwar2, Timoteo Carletti3

  • 1Bagchi School of Public Health, Ahmedabad University, Ahmedabad, Gujarat 380009, India.

Proceedings of the National Academy of Sciences of the United States of America
|July 8, 2026
PubMed
Summary

Faster dispersal of defectors can surprisingly create cooperative clusters in evolutionary games. Network structure, particularly high connectivity, significantly boosts cooperation by influencing movement and interaction dynamics.

Keywords:
complex networkscooperationevolutionary biologypublic goods game

More Related Videos

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response
06:26

Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response

Published on: May 23, 2020

Related Experiment Videos

Last Updated: Jul 10, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response
06:26

Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response

Published on: May 23, 2020

Area of Science:

  • Evolutionary Game Theory
  • Complex Systems Science
  • Population Dynamics

Background:

  • Cooperation is common in nature, yet evolutionary models predict selfish behavior dominates public goods dilemmas.
  • Understanding the mechanisms that sustain cooperation is crucial for explaining social and ecological systems.

Purpose of the Study:

  • To investigate how differing dispersal rates and network heterogeneity influence the persistence of cooperation in public goods games.
  • To identify conditions under which cooperation can emerge and dominate despite the prevalence of selfish strategies.

Main Methods:

  • An eco-evolutionary public goods game was simulated on complex networks.
  • Differential dispersal rates for cooperators and defectors were implemented.
  • Network heterogeneity and node connectivity were analyzed using degree-based mean-field reduction and multistability analysis.

Main Results:

  • Faster defector dispersal can induce a transition from defector dominance to localized cooperative clusters.
  • Nodes with higher connectivity (hubs) are more likely to exhibit cooperative dominance.
  • Network connectivity acts as a key factor in controlling the stability of cooperative states.

Conclusions:

  • Asymmetric mobility (differential dispersal) and heterogeneous network structures (connectivity) are critical factors promoting cooperation.
  • These findings challenge classical models by showing how spatial structure and movement dynamics can favor cooperation in public goods dilemmas.