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

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
Gene Conversion02:08

Gene Conversion

10.5K
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
10.5K
Gene Conversion02:08

Gene Conversion

2.9K
2.9K
Exon Recombination02:32

Exon Recombination

4.0K
The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon...
4.0K
Viral Mutations00:36

Viral Mutations

39.5K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
39.5K

You might also read

Related Articles

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

Sort by
Same author

The MEK inhibitor trametinib incurs mitochondrial injury and induces innate immune responses in the mouse heart.

Science advances·2026
Same author

Modified meiosis in the tardigrade <i>Hypsibius exemplaris</i> maintains heterozygosity across the genome.

bioRxiv : the preprint server for biology·2026
Same author

Artificial intelligence in rare pediatric solid tumor research and clinical care: A scoping review.

Journal of pediatric surgery·2026
Same author

SGLT2 inhibitor use reduces progression and surgical intervention of persistent pulmonary nodules.

Lung cancer (Amsterdam, Netherlands)·2026
Same author

DeCAF defines clinical fibroblast subtypes and multidimensional tumor-stroma crosstalk shaping prognosis and immunotherapy response.

Cell reports. Medicine·2026
Same author

Surgical impact of pafolacianine-based intraoperative molecular imaging in lobar versus sublobar pulmonary resection.

JTCVS techniques·2025

Related Experiment Video

Updated: Jan 6, 2026

Molecular Evolution of the Tre Recombinase
12:02

Molecular Evolution of the Tre Recombinase

Published on: May 29, 2008

10.1K

Recombination drives the evolution of mutational robustness.

Sonia Singhal1, Shawn M Gomez2,3,4, Christina L Burch1

  • 1Biology Department, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Current Opinion in Systems Biology
|October 2, 2019
PubMed
Summary

Populations can reduce recombination load by altering gene interactions or recombination rates. Reducing gene interaction strength also enhances robustness to mutations, unlike solely reducing recombination.

More Related Videos

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
Preparation of the Mgm101 Recombination Protein by MBP-based Tagging Strategy
11:40

Preparation of the Mgm101 Recombination Protein by MBP-based Tagging Strategy

Published on: June 25, 2013

12.4K

Related Experiment Videos

Last Updated: Jan 6, 2026

Molecular Evolution of the Tre Recombinase
12:02

Molecular Evolution of the Tre Recombinase

Published on: May 29, 2008

10.1K
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
Preparation of the Mgm101 Recombination Protein by MBP-based Tagging Strategy
11:40

Preparation of the Mgm101 Recombination Protein by MBP-based Tagging Strategy

Published on: June 25, 2013

12.4K

Area of Science:

  • Evolutionary genetics
  • Population genetics
  • Genomics

Background:

  • Recombination can break apart advantageous allele combinations, leading to a fitness cost known as recombination load.
  • Computational models propose two main evolutionary strategies to mitigate recombination load: reducing recombination frequency or weakening gene interactions.

Purpose of the Study:

  • To review evidence supporting the reduction of recombination load through decreased recombination likelihood or interaction strength.
  • To examine the consequences of these evolutionary mechanisms on the genotype-fitness relationship.
  • To predict genome robustness to mutations based on the strategy employed to reduce recombination load.

Main Methods:

  • Literature review of empirical and theoretical studies on recombination load.
  • Analysis of computational models investigating the evolution of recombination and epistasis.
  • Synthesis of evidence regarding the relationship between physical linkage, gene interactions, and genome robustness.

Main Results:

  • Evidence supports both reduced recombination rates and weakened locus interactions as mechanisms to decrease recombination load.
  • Reducing interaction strengths is predicted to confer robustness to mutational perturbations.
  • Reducing recombination rates alone is not expected to confer similar mutational robustness.

Conclusions:

  • Both reduced recombination and weakened locus interactions likely contributed to the evolution of extant populations.
  • These evolutionary pressures can explain the common observation of physical linkage between interacting loci.
  • The genotype-fitness landscape is shaped by the interplay between recombination, epistasis, and mutation.