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

Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

24.8K
Genetic transfer occurs when genetic information is passed from one organism to another. It occurs via two mechanisms: vertical gene transfer and horizontal gene transfer. Vertical gene transfer occurs when genetic information is transferred from one generation to the next, which happens much more frequently than horizontal gene transfer. Both sexual and asexual reproduction are forms of vertical gene transfer, where one or more organisms pass some or all of their genome onto their progeny.
24.8K
Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

5.7K
5.7K
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

6.8K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
6.8K
Horizontal Gene Transfer01:27

Horizontal Gene Transfer

3.8K
Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
3.8K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

53.0K
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).
53.0K
Gene Flow02:39

Gene Flow

30.7K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
30.7K

You might also read

Related Articles

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

Sort by
Same author

Bioinformatics Meets Virology: The European Virus Bioinformatics Center's Second Annual Meeting.

Viruses·2018
Same author

Taxonomy of the family Arenaviridae and the order Bunyavirales: update 2018.

Archives of virology·2018
Same author

Evolution of Genome Architecture in Archaea: Spontaneous Generation of a New Chromosome in Haloferax volcanii.

Molecular biology and evolution·2018
Same author

Estimation of universal and taxon-specific parameters of prokaryotic genome evolution.

PloS one·2018
Same author

Vast diversity of prokaryotic virus genomes encoding double jelly-roll major capsid proteins uncovered by genomic and metagenomic sequence analysis.

Virology journal·2018
Same author

Taxonomy of the order Mononegavirales: update 2018.

Archives of virology·2018
Same journal

MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 Diabetes.

ArXiv·2026
Same journal

A Positron Range Correction with Texture Preservation Framework in PET Imaging.

ArXiv·2026
Same journal

Automated optimization of force field parameters against ensemble-averaged measurements with Bayesian Inference of Conformational Populations.

ArXiv·2026
Same journal

Droplet Fusion as a Relaxation Process: Comparison with Shape Recovery of Newtonian and Viscoelastic Droplets.

ArXiv·2026
Same journal

Ridge-filter crosstalk in conformal proton FLASH planning: dependence on beamlet pitch and iterative mitigation.

ArXiv·2026
Same journal

Electrochemical DNA Hairpin Sensors for Differentiating Small Molecule Intercalation from Minor Groove Binding.

ArXiv·2026
See all related articles

Related Experiment Video

Updated: Apr 28, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.6K

A generative model for bipartite gene-sharing networks.

Jaime Iranzo, Pedro Jódar, Eugene V Koonin

    Arxiv
    |April 27, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study models gene-sharing networks, revealing evolutionary forces like gene gain and loss shape viral genomes. Gene gain appears to be the dominant driver in viral evolution, influencing genome plasticity.

    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

    2.1K
    Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
    14:06

    Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

    Published on: November 12, 2012

    46.1K

    Related Experiment Videos

    Last Updated: Apr 28, 2026

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.6K
    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

    2.1K
    Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
    14:06

    Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

    Published on: November 12, 2012

    46.1K

    Area of Science:

    • Evolutionary biology
    • Bioinformatics
    • Virology

    Background:

    • Gene-sharing networks are crucial for understanding viral and mobile genetic element evolution.
    • These networks display distinct degree distributions: scale-free for genes and exponential for genomes.

    Purpose of the Study:

    • To propose a mechanistic model explaining observed degree distributions in gene-sharing networks.
    • To identify fundamental evolutionary processes driving genome plasticity.

    Main Methods:

    • Developed a mechanistic model incorporating horizontal gene transfer, gene capture, genome emergence, and gene loss.
    • Employed mean-field approximation to derive analytical expressions for degree distributions.
    • Validated predictions through numerical simulations and comparison with empirical data.

    Main Results:

    • The model accurately predicts power-law gene and exponential genome degree distributions.
    • Parameter values derived from the model closely match empirical data from viral and prokaryotic pangenomes.
    • Gene gain is identified as the dominant evolutionary force in viral genome evolution.

    Conclusions:

    • A simple, two-parameter model provides a generative framework for bipartite gene-sharing networks.
    • The model offers insights into evolutionary forces shaping genome plasticity.
    • Viral evolution is primarily driven by gene gain, with gene loss playing a minimal role.