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

Evolutionary Psychology01:20

Evolutionary Psychology

Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the human psyche...
Entropy Changes Accompanying Specific Processes01:21

Entropy Changes Accompanying Specific Processes

Entropy, a measure of disorder in a system, changes during phase transitions like freezing or boiling. At the transition temperature Ttrs, where two phases are in equilibrium, the phase transition is a reversible process. The entropy change can be calculated from a substance's enthalpy of transition using the equation ΔStrs = ΔtrsH /Ttrs.When a perfect gas expands isothermally from one volume to another, entropy increases logarithmically with volume. Conversely, isothermal compression results...
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...
What is Evolutionary History?02:35

What is Evolutionary History?

Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
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...
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.

You might also read

Related Articles

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

Sort by
Same author

Large language models instantiate evolutionarily robust strategies of cooperation.

PNAS nexus·2026
Same author

Age distinguishes selection from causation in cancer genomes.

Nature genetics·2026
Same author

Reply to Sacco: Complete spaces as outcomes of evolutionary optimization.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Understanding large-scale cooperation in a nonlinear, interconnected world.

Nature computational science·2026
Same author

Payoff equivalence and complete strategy spaces of direct reciprocity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Revealing the Drivers Underlying Distinct Evolutionary Trajectories in Lung Adenocarcinoma.

bioRxiv : the preprint server for biology·2026
Same journal

An integrative model of FGF2-induced signaling and muscle cell proliferation.

Journal of theoretical biology·2026
Same journal

A Hybrid Reaction-Diffusion and Mechanical Stimulus Model for Mandibular Bone Remodeling under Chewing and Vibratory Loading.

Journal of theoretical biology·2026
Same journal

Integrated tick management strategies in fragmented peridomestic environments.

Journal of theoretical biology·2026
Same journal

Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and their selection coefficients in an evolving population.

Journal of theoretical biology·2026
Same journal

Misspecification of the generation time distribution and its impact on R<sub>t</sub> estimates in structured populations.

Journal of theoretical biology·2026
Same journal

Stability-driven assembly meets Prigoginian informational dissipation. A mean-field ODE comment of entropy reduction and emergent proto-self.

Journal of theoretical biology·2026
See all related articles

Related Experiment Video

Updated: May 20, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Evolutionary shift dynamics on a cycle.

Benjamin Allen1, Martin A Nowak

  • 1Program for Evolutionary Dynamics, Harvard University, One Brattle Square, Cambridge, MA 02138, USA. benjcallen@gmail.com

Journal of Theoretical Biology
|July 21, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel evolutionary model where spatial shifts promote population-wide payoff maximization, resolving social dilemmas. The findings suggest one-dimensional spatial dynamics strongly encourage cooperative behavior.

More Related Videos

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

Related Experiment Videos

Last Updated: May 20, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

Area of Science:

  • Evolutionary Biology
  • Game Theory
  • Mathematical Modeling

Background:

  • Spatial structure influences evolutionary dynamics.
  • Social dilemmas arise when individual benefit conflicts with group benefit.

Purpose of the Study:

  • To introduce a new model of evolutionary dynamics in one-dimensional space.
  • To investigate the impact of spatial shift dynamics on cooperative behavior and social dilemmas.

Main Methods:

  • Developed a model of individuals arranged on a cycle with birth-death-shift dynamics.
  • Analyzed the model for discrete and continuous games in the limit of large population size.

Main Results:

  • Evolutionary dynamics maximize the payoff of the whole population.
  • Social dilemmas are resolved, leading to cooperative behavior.
  • The model demonstrates effectiveness for discrete and continuous games.

Conclusions:

  • One-dimensional spatial shift dynamics promote cooperative behavior.
  • This model offers a new perspective on resolving social dilemmas in evolutionary contexts.