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

Dihybrid Crosses01:18

Dihybrid Crosses

Overview
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

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.In the early 20th century,...
Law of Independent Assortment02:03

Law of Independent Assortment

While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

You might also read

Related Articles

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

Sort by
Same author

The relationship between HLA antigens and Bermuda grass hayfever.

Immunogenetics·2011
Same author

Characterizations of highly expressed genes of four fast-growing bacteria.

Journal of bacteriology·2001
Same author

Detecting anomalous gene clusters and pathogenicity islands in diverse bacterial genomes.

Trends in microbiology·2001
Same author

Genomics. Annotation of the Drosophila genome.

Nature·2001
Same author

Predicted highly expressed and putative alien genes of Deinococcus radiodurans and implications for resistance to ionizing radiation damage.

Proceedings of the National Academy of Sciences of the United States of America·2001
Same author

Genome-scale compositional comparisons in eukaryotes.

Genome research·2001

Related Experiment Video

Updated: Jul 10, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Some natural viability systems for a multiallelic locus: a theoretical study.

S Karlin1

  • 1Department of Mathematics, Stanford University, Stanford, California 94305.

Genetics
|February 1, 1981
PubMed
Summary

This study compares genetic polymorphism maintenance under structured viability versus general fitness. More structured viability models increase the likelihood of a globally stable genetic equilibrium.

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Mathematical Biology

Background:

  • Understanding genetic polymorphism maintenance is crucial for evolutionary biology.
  • Natural selection acts through viability and fitness, influencing allele frequencies.
  • Previous models often assumed simplified or unrestricted fitness assignments.

Purpose of the Study:

  • To compare genetic polymorphism maintenance under structured viability regimes versus general fitness.
  • To analyze various natural selection models, including dominance, allelic activity, and resource-based viability.
  • To investigate genotype frequency equilibrium configurations.

Main Methods:

  • Development and analysis of generalized dominance fitness systems.
  • Application of viability matrices based on allelic activity and multilocus interactions.

More Related Videos

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

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

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

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

  • Modeling viability using partitioned resource/substrate variables and circulant matrices.
  • Examination of genotype frequency equilibrium properties.

    • Main Results:

    • Detailed characterization of genotype frequency equilibria for diverse viability models.
    • Demonstration of how structured viability influences polymorphism maintenance.
    • Identification of specific model types leading to stable equilibria.

    Conclusions:

    • Structured viability models enhance the probability of achieving a globally stable genetic equilibrium.
    • The findings provide insights into the evolutionary maintenance of genetic diversity.
    • This work advances theoretical frameworks for modeling natural selection.