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

Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
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...
Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.Positive Frequency-Dependent SelectionIn positive...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

You might also read

Related Articles

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

Sort by
Same author

A classification of structured coalescent processes with migration, conditional on the population pedigree.

Genetics·2026
Same author

Correlation of coalescence times in a diploid Wright-Fisher model with recombination and selfing.

Theoretical population biology·2025
Same author

Genomic origins and evolution of neo-sex chromosomes in Pacific Island birds.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Conditional gene genealogies given the population pedigree for a diploid Moran model with selfing.

Theoretical population biology·2025
Same author

Recent secondary contact, genome-wide admixture, and asymmetric introgression of neo-sex chromosomes between two Pacific island bird species.

PLoS genetics·2024
Same author

Latent mutations in the ancestries of alleles under selection.

Theoretical population biology·2024
Same journal

Coexistence of piRNA and KZFP defense systems: Evolutionary dynamics of layered defense against transposable elements.

Genetics·2026
Same journal

Creation and manipulation of bipartite expression transgenes in C. elegans using phiC31 recombinase.

Genetics·2026
Same journal

Inherited long telomeres induce a genome-wide transcriptional response in budding yeast.

Genetics·2026
Same journal

Adaptive Dynamics of Quantitative Traits in a Steadily Changing Environment.

Genetics·2026
Same journal

Functional Landscape of Zebrafish Gonadotropins and Receptors: A Comprehensive Genetic Analysis.

Genetics·2026
Same journal

Synergistic actions of Nup43 and Myosin VI drive actin cone assembly during Drosophila spermiogenesis.

Genetics·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

Modeling multiallelic selection using a Moran model.

Christina A Muirhead1, John Wakeley

  • 1Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Ave., Room 4100, Cambridge, Massachusetts 02138, USA. muirhead@oeb.harvard.edu

Genetics
|May 29, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a Moran-model for multiallelic selection in finite populations, enhancing models of balancing selection. The approach offers a more robust framework for analyzing allele frequency dynamics than prior methods.

Related Experiment Videos

Last Updated: Jun 22, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

Area of Science:

  • Population genetics
  • Evolutionary biology
  • Theoretical biology

Background:

  • Modeling multiallelic selection in finite populations is crucial for understanding evolutionary dynamics.
  • Existing models often rely on diffusion approximations, which may have limitations under certain parameters.

Purpose of the Study:

  • To develop a novel Moran-model approach for general multiallelic selection in finite populations.
  • To provide new expressions for stationary allele frequency distributions and explore model reversibility.
  • To derive the expected allele frequency spectrum for various multiallelic selection models.

Main Methods:

  • Utilized a Moran-model framework for population genetics.
  • Derived new expressions for the stationary distribution of allele frequencies.
  • Demonstrated the reversibility of the continuous-time Markov chain for allele frequency change.
  • Employed simulations to validate the model's applicability.

Main Results:

  • The proposed Moran-model approach accurately models general multiallelic selection.
  • The continuous-time Markov chain describing allele frequency change was shown to be reversible.
  • New expressions for the stationary distribution and expected allele frequency spectrum were derived.
  • The model demonstrated validity over a wider parameter range compared to diffusion approximations.

Conclusions:

  • The Moran-model provides a powerful and versatile tool for studying balancing selection in finite populations.
  • This approach advances theoretical models for biological systems like plant self-incompatibility loci.
  • Results are applicable to any multiallelic selection model where fitness depends only on allele frequency.