Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Limits to Natural Selection

Limits to Natural Selection

Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.

Speciation Rates

Speciation Rates

Convergent Evolution

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.

Genetics of Speciation

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.

Criticisms of the Evolutionary Perspective

Criticisms of the Evolutionary Perspective

In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...

Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).

You might also read

Related Articles

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

Sort by

Same author

Neurons as Autoencoders.

Artificial life·2024

Same author

On Recombination.

Artificial life·2024

Same author

A Systematic Review of Machine-Learning Solutions in Anaerobic Digestion.

Bioengineering (Basel, Switzerland)·2023

Same author

A Generalised Dropout Mechanism for Distributed Systems.

Artificial life·2022

Same author

Are Artificial Dendrites Useful in Neuro-Evolution?

Artificial life·2021

Same author

On the Emergence of Intersexual Selection: Arbitrary Trait Preference Improves Female-Male Coevolution.

Artificial life·2021

Same journal

The Quantum-to-Classical Transducer: A Thermodynamic and Quantum Mechanical Framework for the Emergence of Bioenergetics.

Bio Systems·2026

Same journal

Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

Bio Systems·2026

Same journal

Partial-Label Metric Ceilings for Evaluating Gene Regulatory Networks Inferred from Single-Cell Foundation Models.

Bio Systems·2026

Same journal

The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

Bio Systems·2026

Same journal

Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

Bio Systems·2026

Same journal

Contextuality, incompatibility, and intra-system entanglement of mental markers: From cognition and decision making to medicine.

Bio Systems·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 31, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

On coevolution: Asymmetry in the NKCS model.

¹Department of Computer Science & Creative Technologies, University of the West of England, Bristol, UK.

|July 1, 2021

Summary

This summary is machine-generated.

This study explores how reducing symmetry in coevolutionary systems impacts species interactions. Findings reveal significant behavioral changes relevant to symbiotic relationships.

Keywords:

Baldwin effect Evolution Fitness landscape Mutation Symbiosis

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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

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: Oct 31, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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

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
Theoretical ecology
Computational biology

Background:

Coevolutionary systems involve interconnected species with coupled fitness landscapes.
Previous models assumed symmetry in controlling parameters.
Understanding these dynamics is crucial for ecological and evolutionary theory.

Purpose of the Study:

To investigate the effects of reduced symmetry in controlling parameters on coevolutionary systems.
To explore how genome complexity, landscape coupling, and local learning influence system behavior.
To extend the applicability of coevolutionary models to asymmetric ecological interactions.

Main Methods:

Utilized the NKCS (Neighbor-Keystone Coupling System) model.
Systematically varied parameters such as genome complexity and landscape coupling.
Introduced local learning mechanisms to simulate adaptive strategies.
Analyzed system behavior across a range of asymmetric conditions.

Main Results:

Reduced symmetry led to significant deviations from traditional coevolutionary model behavior.
Varying genome complexity and landscape coupling revealed distinct emergent dynamics.
Local learning introduced novel adaptive pathways within the asymmetric system.
The model demonstrated sensitivity to parameter asymmetry across the explored space.

Conclusions:

Asymmetry in controlling parameters fundamentally alters coevolutionary system dynamics.
The modified NKCS model offers a more nuanced framework for studying ecological interactions.
Findings are particularly relevant for understanding the evolution and stability of symbiotic relationships.
Further research can explore more complex asymmetric scenarios in coevolution.