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

Pedigree Analysis01:35

Pedigree Analysis

85.6K
Overview
85.6K
Law of Segregation01:49

Law of Segregation

67.3K
When crossing pea plants, Mendel noticed that one of the parental traits would sometimes disappear in the first generation of offspring, called the F1 generation, and could reappear in the next generation (F2). He concluded that one of the traits must be dominant over the other, thereby causing masking of one trait in the F1 generation. When he crossed the F1 plants, he found that 75% of the offspring in the F2 generation had the dominant phenotype, while 25% had the recessive phenotype.
67.3K
Monohybrid Crosses01:20

Monohybrid Crosses

231.5K
Overview
231.5K
Incomplete Dominance01:43

Incomplete Dominance

25.9K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
25.9K
Trihybrid Crosses02:27

Trihybrid Crosses

24.0K
Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...
24.0K
Heritability01:06

Heritability

322
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
322

You might also read

Related Articles

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

Sort by
Same author

The Quetzal Coalescence template library: A C++ programmers resource for integrating distributional, demographic and coalescent models.

Molecular ecology resources·2019
Same author

Impact of demography on extinction/fixation events.

Journal of mathematical biology·2018
See all related articles

Related Experiment Video

Updated: Sep 24, 2025

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues
11:54

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues

Published on: October 20, 2019

9.3K

Pedigree in the biparental Moran model.

Camille Coron1, Yves Le Jan2

  • 1Université Paris-Saclay, CNRS, Laboratoire de mathématiques d'Orsay, Orsay, 91405, France. camille.coron@universite-paris-saclay.fr.

Journal of Mathematical Biology
|May 9, 2022
PubMed
Summary

This study models genetic ancestry in a fixed population using a biparental Moran model. It reveals that ancestor proportions converge to a predictable distribution, offering insights into population genetics.

Keywords:
Ancestor’s genetic contributionBiparental Moran modelGenealogyLarge population size limitPedigreeStationary distributionk-particle Markov chain

More Related Videos

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect
05:04

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Published on: September 22, 2023

560
Author Spotlight: Exploring Microglial Interactions with Stress-Response Circuitry Using the Limited Bedding and Nesting Model
04:20

Author Spotlight: Exploring Microglial Interactions with Stress-Response Circuitry Using the Limited Bedding and Nesting Model

Published on: July 12, 2024

1.9K

Related Experiment Videos

Last Updated: Sep 24, 2025

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues
11:54

Microsatellite DNA Genotyping and Flow Cytometry Ploidy Analyses of Formalin-fixed Paraffin-embedded Hydatidiform Molar Tissues

Published on: October 20, 2019

9.3K
A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect
05:04

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Published on: September 22, 2023

560
Author Spotlight: Exploring Microglial Interactions with Stress-Response Circuitry Using the Limited Bedding and Nesting Model
04:20

Author Spotlight: Exploring Microglial Interactions with Stress-Response Circuitry Using the Limited Bedding and Nesting Model

Published on: July 12, 2024

1.9K

Area of Science:

  • Population Genetics
  • Mathematical Biology
  • Evolutionary Dynamics

Background:

  • Understanding genetic contributions from ancestors is crucial in population genetics.
  • Previous models often simplify parental contributions or population dynamics.

Purpose of the Study:

  • To analyze the genetic composition of a population with biparental inheritance.
  • To determine the long-term distribution of ancestral genetic material within a population.

Main Methods:

  • Utilizing a biparental Moran model with a fixed population size (N).
  • Tracking the proportion of an individual's genome over time (n steps).
  • Analyzing the convergence of these proportions as n and N approach infinity.

Main Results:

  • Proportions of genomes from a fixed individual converge to a random variable as time (n) increases.
  • In the limit of large populations (N → ∞), the scaled ancestor weights converge to a mixture of a Dirac measure at 0 and an exponential distribution (parameter 1/2).
  • Weights of multiple distinct ancestors are shown to be independent.

Conclusions:

  • The study provides an explicit formula for the limiting distribution of ancestor weights.
  • This framework offers a precise mathematical description of genetic inheritance patterns in large populations.
  • The findings contribute to a deeper understanding of evolutionary processes and genetic drift.