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

Speciation Rates01:07

Speciation Rates

Overview
Mixing Time01:19

Mixing Time

The concept of mixing time is significant in producing a uniform concrete mix with the required strength. The mixing period starts once all components are in the mixer. Initially, the mixer is charged with 10% of the water, followed by the consistent addition of solids and then 80% of the water. The remaining water is added later, within the first quarter of the mixing period. The minimum mixing time varies according to the mixer's capacity; for example, mixers with up to 1 cubic yard capacity...
Limits to Natural Selection01:38

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.
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Mutation, Gene Flow, and Genetic Drift01:09

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

Multilevel selection in multitype populations.

PNAS nexus·2026
Same author

Universal principles of cell population growth follow from local contact inhibition.

iScience·2026
Same author

Epidemiological impacts of nonpharmaceutical interventions are modulated by immunity exposure trade offs.

Communications medicine·2026
Same author

Universal principles of cell population growth follow from local contact inhibition.

ArXiv·2026
Same author

Numerical methods for quasi-stationary distributions.

Physical review. E·2026
Same author

Interactions between immuno-epidemiology and individual decision-making for nonpharmaceutical interventions.

Trends in microbiology·2026
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: May 18, 2026

Microfluidic Mixers for Studying Protein Folding
12:42

Microfluidic Mixers for Studying Protein Folding

Published on: April 10, 2012

Mixing times in evolutionary game dynamics.

Andrew J Black1, Arne Traulsen, Tobias Galla

  • 1School of Mathematical Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia. andrew.black@adelaide.edu.au

Physical Review Letters
|October 4, 2012
PubMed
Summary
This summary is machine-generated.

Evolutionary game theory shows that increasing selection intensity can decrease fixation times but increase mixing times in coordination games. Conversely, it can increase fixation times while decreasing mixing times in coexistence games.

More Related Videos

Adaptation at the Extremes of Life: Experimental Evolution with the Extremophile Archaeon Sulfolobus acidocaldarius
08:11

Adaptation at the Extremes of Life: Experimental Evolution with the Extremophile Archaeon Sulfolobus acidocaldarius

Published on: June 14, 2024

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 18, 2026

Microfluidic Mixers for Studying Protein Folding
12:42

Microfluidic Mixers for Studying Protein Folding

Published on: April 10, 2012

Adaptation at the Extremes of Life: Experimental Evolution with the Extremophile Archaeon Sulfolobus acidocaldarius
08:11

Adaptation at the Extremes of Life: Experimental Evolution with the Extremophile Archaeon Sulfolobus acidocaldarius

Published on: June 14, 2024

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 game theory
  • Statistical physics
  • Population dynamics

Background:

  • Evolutionary dynamics typically lead to species extinction without mutation or migration.
  • Fixation processes are well-understood using statistical physics methods.
  • Biological arguments often focus on mutation-selection equilibrium and stationary distributions.

Purpose of the Study:

  • To investigate the mixing time required to reach stationarity in evolutionary games with mutation.
  • To analyze how mixing times behave in relation to fixation times under varying selection intensities.

Main Methods:

  • Computational simulations were employed to model evolutionary dynamics.
  • The Wentzel-Kramers-Brillouin (WKB) approximation of the master equation was utilized.
  • Analysis focused on coordination games with bistabilities and coexistence games with metastable states.

Main Results:

  • In coordination games, increased selection intensity decreased fixation time but increased mixing time.
  • In coexistence games, increased selection intensity increased fixation time but decreased mixing time.
  • Mixing times exhibit contrasting behavior to fixation times with increasing selection intensity.

Conclusions:

  • The study reveals a counterintuitive relationship between mixing and fixation times in evolutionary games.
  • Understanding these dynamics is crucial for comprehending the approach to mutation-selection equilibrium.
  • The findings highlight the complex interplay between selection, mutation, and evolutionary stability.