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

Genetic Drift03:33

Genetic Drift

43.0K
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.
43.0K
Genetics of Speciation02:16

Genetics of Speciation

20.9K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
20.9K
Gene Flow02:39

Gene Flow

37.5K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
37.5K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

62.1K
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).
62.1K
Monohybrid Crosses01:20

Monohybrid Crosses

238.8K
Overview
238.8K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

76.0K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
76.0K

You might also read

Related Articles

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

Sort by
Same author

Coalescence and sampling distributions for Feller diffusions.

Theoretical population biology·2023
Same author

An estimator for the recombination rate from a continuously observed diffusion of haplotype frequencies.

Journal of mathematical biology·2023
Same author

Soluble ACE2 Is Filtered into the Urine.

Kidney360·2023
Same author

Protracted Speciation under the State-Dependent Speciation and Extinction Approach.

Systematic biology·2022
Same author

Maximum likelihood estimators for scaled mutation rates in an equilibrium mutation-drift model.

Theoretical population biology·2020
Same author

Coalescence in the diffusion limit of a Bienaymé-Galton-Watson branching process.

Theoretical population biology·2019

Related Experiment Video

Updated: Jan 18, 2026

Manipulation of Gene Function in Mexican Cavefish
07:01

Manipulation of Gene Function in Mexican Cavefish

Published on: April 22, 2019

9.9K

The Feller diffusion conditioned on a single ancestral founder.

Conrad J Burden1, Robert C Griffiths2

  • 1Mathematical Sciences Institute, Australian National University, Canberra, Australia.

Theoretical Population Biology
|September 12, 2025
PubMed
Summary
This summary is machine-generated.

This study analyzes Feller diffusion models, revealing how population size evolves from a single ancestor. It provides exact solutions for population dynamics across different growth scenarios.

Keywords:
Branching processCoalescentDiffusion processFeller diffusionMost recent common ancestorSampling distributions

More Related Videos

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.5K
Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
05:56

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

3.2K

Related Experiment Videos

Last Updated: Jan 18, 2026

Manipulation of Gene Function in Mexican Cavefish
07:01

Manipulation of Gene Function in Mexican Cavefish

Published on: April 22, 2019

9.9K
A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.5K
Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
05:56

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

3.2K

Area of Science:

  • Population genetics
  • Stochastic processes
  • Mathematical biology

Background:

  • Feller diffusion models describe population dynamics.
  • Understanding ancestral origins is key in population genetics.
  • Previous models lacked detailed distributional properties.

Purpose of the Study:

  • To analyze distributional properties of Feller diffusion conditioned on a single ancestor.
  • To determine ancestor distributions and coalescent times.
  • To calculate joint distributions of time since the most recent common ancestor and population size.

Main Methods:

  • Novel interpretation of Feller's solution using Poisson-distributed families.
  • Analysis of ancestral distributions at intermediate times.
  • Calculation of joint densities for coalescent times and population size.

Main Results:

  • Exact solutions derived for supercritical, critical, and subcritical diffusions.
  • Asymptotic forms provided for supercritical diffusions under exponential growth.
  • Determined distributions for ancestor counts and coalescent times.

Conclusions:

  • The novel approach offers exact solutions for Feller diffusion models.
  • Provides insights into population structure and ancestral history.
  • Applicable to various population dynamics scenarios, including unbounded growth.