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

44.5K
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.
44.5K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

65.0K
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).
65.0K
Gene Flow02:39

Gene Flow

38.4K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
38.4K
What is Population Genetics?01:25

What is Population Genetics?

65.1K
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.
65.1K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

76.9K
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.
76.9K
Genetics of Speciation02:16

Genetics of Speciation

22.5K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
22.5K

You might also read

Related Articles

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

Sort by
Same author

Estimating bonobo (<i>Pan</i><i>paniscus</i>) and chimpanzee (<i>Pan</i><i>troglodytes</i>) evolutionary history from nucleotide site patterns.

Proceedings of the National Academy of Sciences of the United States of America·2022
Same author

Neanderthal-Denisovan ancestors interbred with a distantly related hominin.

Science advances·2020
Same author

Legofit: estimating population history from genetic data.

BMC bioinformatics·2019
Same author

Reply to Mafessoni and Prüfer: Inferences with and without singleton site patterns.

Proceedings of the National Academy of Sciences of the United States of America·2017
Same author

Early history of Neanderthals and Denisovans.

Proceedings of the National Academy of Sciences of the United States of America·2017
Same author

A MODEL OF KIN-STRUCTURED MIGRATION.

Evolution; international journal of organic evolution·2017

Related Experiment Video

Updated: Mar 1, 2026

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

1.4K

MIGRATION AND GENETIC DRIFT IN HUMAN POPULATIONS.

Alan R Rogers1, Henry C Harpending2

  • 1Department of Anthropology, University of Pittsburgh, 3H01 Forbes Quad, Pittsburgh, PA, 15260.

Evolution; International Journal of Organic Evolution
|June 1, 2017
PubMed
Summary

Classical population genetics models incorrectly assume mortality patterns. Our new model shows geographic variation in newborn allele frequencies is higher than adults, offering insights into population size and migration.

More Related Videos

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

23.3K
Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria
10:27

Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria

Published on: November 10, 2015

12.2K

Related Experiment Videos

Last Updated: Mar 1, 2026

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

1.4K
Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

23.3K
Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria
10:27

Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria

Published on: November 10, 2015

12.2K

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Demography

Background:

  • Classical population genetics models often assume mortality is highest during dispersal and reproduction.
  • This assumption is contrary to observed life cycles in humans and many other species where mortality is concentrated early in life.

Purpose of the Study:

  • To introduce a novel population genetics model that incorporates pre-migration population regulation.
  • To investigate the implications of this model for geographic variation in allele frequencies between newborns and adults.
  • To develop new metrics for understanding migration and population structure.

Main Methods:

  • Development of a new population genetics model where regulation precedes migration.
  • Analysis of geographic variation in allele frequencies for newborns versus adults.
  • Introduction of the 'effective migration rate' parameter.

Main Results:

  • The model predicts greater geographic variation in allele frequencies among newborns than adults.
  • Reduced genetic variance (variance about the current population mean) converges faster than unreduced variance.
  • The difference in variation between newborns and adults provides estimates for effective population size and effective migration rate.

Conclusions:

  • Distinguishing genetic variation in newborns from adults is crucial for species with human-like life cycles.
  • The effective migration rate offers a robust measure of migration's impact, independent of population size.
  • The developed model and metrics enhance the study of genetic population structure and evolutionary dynamics.