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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.4K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

72.1K
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.
72.1K
What is Population Genetics?01:25

What is Population Genetics?

57.9K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.9K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.4K
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).
58.4K
Genetic Drift03:33

Genetic Drift

39.7K
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.
39.7K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Comparing the genomic inbreeding of an isolated rhesus macaque study population to wild populations.

bioRxiv : the preprint server for biology·2026
Same author

Genetic Estimates of Relatedness: Established Practices and New Opportunities Through Low Coverage Whole-Genome Sequencing.

Molecular ecology·2026
Same author

A large mass grave from the Early Iron Age indicates selective violence towards women and children in the Carpathian Basin.

Nature human behaviour·2026
Same author

Balanced polymorphism in a floral transcription factor underlies an ancient rhythm of daily sex alternation in avocado.

bioRxiv : the preprint server for biology·2026
Same author

Tracing social mechanisms and interregional connections in Early Bronze Age Societies in Lower Austria.

Nature communications·2025
Same author

Archaeogenetics reconstructs demography and extreme parental consanguinity in a Bronze Age community from Southern Italy.

Communications biology·2025

Related Experiment Video

Updated: Jun 30, 2025

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

12.3K

Demographic inference for spatially heterogeneous populations using long shared haplotypes.

Raphaël Forien1, Harald Ringbauer2, Graham Coop3

  • 1INRAE - BioSP, Centre INRAE PACA, 228 route de l'aérodrome, Domaine St-Paul - Site Agroparc, 84914, Avignon Cedex 9, France.

Theoretical Population Biology
|March 16, 2024
PubMed
Summary

We developed a new spatial model to track population ancestry across areas with different dispersal rates. This method accurately infers population density and dispersal parameters using genetic data.

Keywords:
Isolation by distancePopulation geneticsSegments of shared haplotypesSkew Brownian motionSpatial coalescentSpatial Λ-Fleming–Viot process

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

2.2K
Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
13:55

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

18.4K

Related Experiment Videos

Last Updated: Jun 30, 2025

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

12.3K
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

2.2K
Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
13:55

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

18.4K

Area of Science:

  • Population genetics
  • Mathematical modeling
  • Spatial ecology

Background:

  • Understanding population structure and history is crucial in ecology and evolution.
  • Spatial heterogeneity in dispersal and population density significantly impacts genetic diversity and ancestry.
  • Previous models often simplify spatial dynamics, limiting their application in complex habitats.

Purpose of the Study:

  • To introduce a modified spatial Λ-Fleming-Viot process for modeling population ancestry in a two-region habitat with a discontinuity.
  • To derive an analytical formula for expected shared haplotype segments based on sampling locations.
  • To develop a method for inferring population dispersal and density parameters.

Main Methods:

  • Utilized a modified spatial Λ-Fleming-Viot process.
  • Derived an analytical formula for expected shared haplotype segments.
  • Employed a composite likelihood approach for parameter inference.
  • Validated the method using simulated datasets.

Main Results:

  • An analytical formula for expected shared haplotype segments was derived.
  • The formula depends on sampling locations and involves the transition density of a skew diffusion.
  • The composite likelihood approach demonstrated efficiency in inferring dispersal and density parameters.
  • Simulations confirmed the method's effectiveness across various scenarios.

Conclusions:

  • The modified spatial Λ-Fleming-Viot process provides a robust framework for studying population ancestry in heterogeneous environments.
  • The derived formula and inference method are valuable tools for ecological and evolutionary research.
  • This approach enhances our ability to understand the impact of spatial discontinuities on population genetic structure.