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

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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...
Genetics of Speciation02:16

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.The genetics of speciation involves the different traits or isolating mechanisms preventing gene exchange, leading to reproductive isolation. Reproductive isolation can be due to reproductive barriers that have effects either before or after the formation of a zygote. Pre-zygotic mechanisms prevent fertilization from occurring, and post-zygotic mechanisms...
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.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...
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...

You might also read

Related Articles

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

Sort by
Same author

Evolving genealogies in cultural evolution, the descendant process, and the number of cultural traits.

Theoretical population biology·2025
Same author

Selection, recombination, and the ancestral initiation graph.

Theoretical population biology·2021
Same author

Modelling and simulating Lenski's long-term evolution experiment.

Theoretical population biology·2019
Same author

A probabilistic view on the deterministic mutation-selection equation: dynamics, equilibria, and ancestry via individual lines of descent.

Journal of mathematical biology·2018
Same author

Partitioning, duality, and linkage disequilibria in the Moran model with recombination.

Journal of mathematical biology·2015
Same author

Looking down in the ancestral selection graph: A probabilistic approach to the common ancestor type distribution.

Theoretical population biology·2015

Related Experiment Video

Updated: Jul 10, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Mutation, selection, and ancestry in branching models: a variational approach.

Ellen Baake1, Hans-Otto Georgii

  • 1Faculty of Technology, Bielefeld University, Postfach 100131, 33501 Bielefeld, Germany. ebaake@techfak.uni-bielefeld.de

Journal of Mathematical Biology
|November 1, 2006
PubMed
Summary

Population evolution is shaped by mutation and selection. The ancestral distribution reveals a balance between reproduction and mutation, optimizing long-term growth rates in sequence evolution models.

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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

Related Experiment Videos

Last Updated: Jul 10, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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

Area of Science:

  • Population genetics
  • Evolutionary dynamics
  • Mathematical biology

Background:

  • Understanding population evolution requires modeling the interplay of mutation and selection.
  • Markov branching processes provide a framework for analyzing population dynamics over time.
  • The ancestral distribution is crucial for studying mutation-selection balance.

Purpose of the Study:

  • To investigate the mutation-selection balance in a finite-type Markov branching process.
  • To quantify the roles of reproduction and mutation in population evolution.
  • To analyze sequence evolution, specifically the quasispecies model, focusing on letter composition fitness.

Main Methods:

  • Modeling population evolution using a continuous-time Markov branching process.
  • Analyzing the genealogical tree in both forward and backward time directions.
  • Deriving the ancestral distribution as a key element for mutation-selection balance.
  • Applying a variational principle to quantify the trade-off between reproduction and mutation.
  • Examining sequence evolution by considering letter frequencies and fitness functions.

Main Results:

  • The ancestral distribution determines the mutation-selection balance, optimizing population growth.
  • A trade-off exists between mean reproduction rate and mutation-related decay rate.
  • In sequence evolution, fitness of letter compositions is determined by mutation and reproduction rates.
  • The quasispecies model exhibits phase transitions in certain scenarios.

Conclusions:

  • The ancestral distribution is central to understanding mutation-selection balance and population growth optimization.
  • Sequence composition fitness is explicitly determined in models like the quasispecies model.
  • The interplay of mutation and reproduction can lead to complex evolutionary dynamics, including phase transitions.