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 Flow02:39

Gene Flow

35.4K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.4K
Convergent Evolution01:54

Convergent Evolution

28.2K
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.
28.2K
Genetic Drift03:33

Genetic Drift

40.2K
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.
40.2K
Limits to Natural Selection01:38

Limits to Natural Selection

31.5K
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.
31.5K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.9K
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).
58.9K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.3K
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...
7.3K

You might also read

Related Articles

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

Sort by
Same author

Single-Cell Transcriptomics and Development of Gametocyte-Specific Molecular Markers for Avian Malaria Parasites.

Molecular ecology resources·2026
Same author

The adaptive plasticity of temperate phage <i>λ</i>.

Virus evolution·2026
Same author

Social cues drive the evolution of plastic pathogen virulence in spatially and temporally variable environments.

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

Evolution of a trait distributed over a large fragmented population: propagation of chaos meets adaptive dynamics.

Journal of mathematical biology·2026
Same author

The interplay between migration and selection on the dynamics of pathogen variants.

Journal of the Royal Society, Interface·2026
Same author

Interim vaccine effectiveness against influenza virus among outpatients, France, October 2025 to January 2026.

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin·2026

Related Experiment Video

Updated: Aug 12, 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

3.4K

Bottlenecks can constrain and channel evolutionary paths.

Jasmine Gamblin1, Sylvain Gandon2, François Blanquart1,3

  • 1Center for Interdisciplinary Research in Biology (CIRB), College de France, CNRS, INSERM, Université PSL, 75005 Paris, France.

Genetics
|February 2, 2023
PubMed
Summary
This summary is machine-generated.

Population bottlenecks, common in evolution experiments and nature, deterministically control evolutionary paths. Demography, specifically bottleneck size, dictates adaptation by managing mutant supply and loss, guiding experimental design.

Keywords:
adaptationdemographyforecasting evolutionmicrobial evolutionstochastic model

More Related Videos

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

1.0K
A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

161

Related Experiment Videos

Last Updated: Aug 12, 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

3.4K
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

1.0K
A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

161

Area of Science:

  • Evolutionary Biology
  • Theoretical Biology
  • Microbial Evolution

Background:

  • Population bottlenecks occur frequently in experimental evolution (serial passaging) and natural populations (seasonality, host transmission).
  • The influence of unlimited growth coupled with periodic bottlenecks on population adaptation remains incompletely understood.

Purpose of the Study:

  • To theoretically investigate how population bottlenecks affect evolutionary path accessibility and the rate of adaptation.
  • To elucidate the role of demographic parameters in shaping evolutionary trajectories under bottleneck conditions.

Main Methods:

  • Modeling an asexual population on a fitness landscape with two beneficial mutations exhibiting a mutation rate-fitness advantage trade-off.
  • Analysis in the regime where multiple beneficial mutations can segregate simultaneously, considering large population sizes and small mutation rates.

Main Results:

  • A unique, most likely evolutionary scenario is identified, determined by wild-type population sizes at the start and end of each bottleneck cycle.
  • Bottleneck size (demographic parameters) was shown to deterministically control which adaptive paths are accessible.
  • It is demonstrated that specific evolutionary scenarios can be induced by manipulating demographic parameters.

Conclusions:

  • Bottlenecks act as deterministic controllers of evolutionary trajectories in periodically bottlenecked populations.
  • Demographic parameters, particularly bottleneck size, are critical in shaping adaptation and can be tuned to direct evolutionary outcomes.
  • Findings provide insights into the effects of demography on adaptation and can inform the design of evolution experiments.