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

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

61.5K
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).
61.5K
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

718
Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
718
Mutations01:35

Mutations

42.5K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
42.5K
Mutations01:39

Mutations

94.1K
Overview
94.1K
Mismatch Repair01:20

Mismatch Repair

6.2K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
6.2K
Mismatch Repair01:36

Mismatch Repair

43.4K
Overview
43.4K

You might also read

Related Articles

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

Sort by
Same author

Beyond Visibility: Social Media, Trust, and Responsibility in Oncology.

Journal of immunotherapy and precision oncology·2026
Same author

Association of Health Insurance Literacy on Financial Toxicity Among Adolescent and Young Adult Cancer Patients.

Journal of adolescent and young adult oncology·2026
Same author

Evolutionary Dynamics at the Leading Edge of Biological Invasions.

Bulletin of mathematical biology·2026
Same author

Modeling stratified dispersal in forest pests: A case study of the mountain pine beetle in Alberta.

Ecology·2026
Same author

Biological Barriers to Forest Pest Invasions: A Novel Host Tree Slows Mountain Pine Beetle Range Expansion.

Ecology and evolution·2025
Same author

Deep learning for disease outbreak prediction: a parallel LSTM-CNN model.

Journal of the Royal Society, Interface·2025

Related Experiment Video

Updated: Dec 31, 2025

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

1.3K

Inside Dynamics of Integrodifference Equations with Mutations.

Nathan G Marculis1, Mark A Lewis2

  • 1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada. marculis@ualberta.ca.

Bulletin of Mathematical Biology
|January 15, 2020
PubMed
Summary
This summary is machine-generated.

Mutations influence neutral gene flow in spreading populations. The study shows that gene spread depends on mutation class and the leading edge population fraction, with proportions determined by the mutation matrix eigenvector.

Keywords:
Integrodifference equationsMutationsNeutral genetic diversityRange expansionSpreading speed

More Related Videos

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

11.2K
Identifying DNA Mutations in Purified Hematopoietic Stem/Progenitor Cells
11:06

Identifying DNA Mutations in Purified Hematopoietic Stem/Progenitor Cells

Published on: February 24, 2014

13.4K

Related Experiment Videos

Last Updated: Dec 31, 2025

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

1.3K
A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

11.2K
Identifying DNA Mutations in Purified Hematopoietic Stem/Progenitor Cells
11:06

Identifying DNA Mutations in Purified Hematopoietic Stem/Progenitor Cells

Published on: February 24, 2014

13.4K

Area of Science:

  • Population Genetics
  • Mathematical Biology
  • Evolutionary Dynamics

Background:

  • Inside dynamics models track neutral gene fraction dynamics in spreading populations.
  • Previous models have not incorporated the role of mutations in gene flow.

Purpose of the Study:

  • To develop a neutral genetic mutation model by extending scalar inside dynamics.
  • To investigate the impact of mutations on the spread of neutral genetic fractions.

Main Methods:

  • Utilized integrodifference equations to formulate the neutral genetic mutation model.
  • Defined mutation classes to categorize gene fraction dynamics.
  • Analyzed the influence of population leading edge and mutation matrix structure.

Main Results:

  • Neutral fraction spread is contingent on belonging to the same mutation class as the leading edge fraction.
  • Asymptotic proportion at the leading edge is determined by the dominant right eigenvector of the mutation matrix, irrespective of growth/dispersal parameters.

Conclusions:

  • The developed model provides a framework for understanding mutation dynamics in gene flow.
  • Mutation matrix structure is a key determinant of population spread dynamics.
  • Numerical simulations support the mathematical findings and suggest further research avenues.