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

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).
Mutations01:35

Mutations

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...
Mutations01:39

Mutations

Overview
Mutations01:39

Mutations

Overview
Mismatch Repair01:20

Mismatch Repair

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...
Mismatch Repair01:36

Mismatch Repair

Overview

You might also read

Related Articles

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

Sort by
Same author

Behavior evolves as a correlated response to selection on cuticle color in Drosophila melanogaster and D. simulans.

Evolution; international journal of organic evolution·2026
Same author

Resource stewardship learning needs in undergraduate medical training: a cross-sectional study.

MedEdPublish (2016)·2026
Same author

A machine learning classifier to identify and prioritise genes associated with murine cardiac development.

PLoS genetics·2026
Same author

Evolvability: progress and key questions.

Bioscience·2025
Same author

Gene therapy delivery of anti-Müllerian hormone in prepubertal female domestic cats induces long-term sterilization.

Nature communications·2025
Same author

Determining Preclinical Safety of Aclarubicin in Pediatric Malignancies.

Pediatric blood & cancer·2025
Same journal

The role of sex in structuring aggression, rank, and hierarchy in monk parakeets.

Integrative and comparative biology·2026
Same journal

Modeling Probiotic-Associated Growth Dynamics in Juvenile Red Drum.

Integrative and comparative biology·2026
Same journal

Sharing stress, shifting strategies: Social context during stress shifts collective thermoregulation behaviors in honeybees.

Integrative and comparative biology·2026
Same journal

BatLog: open-source passive integrated transponder (PIT) tag logger for wildlife behavioral studies.

Integrative and comparative biology·2026
Same journal

Symbiont identity impacts prokaryotic microbiome dynamics during heat stress in a model system for corals.

Integrative and comparative biology·2026
Same journal

Special issue: Bee Aware-behavioral plasticity, dysregulation, and cross-species integration in a changing world Social bee communication in a changing world.

Integrative and comparative biology·2026
See all related articles

Related Experiment Video

Updated: May 31, 2026

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

Mutation accumulation, performance, fitness.

Raymond B Huey1, George W Gilchrist, Kimiora Ward

  • 1Department of Biology, Box 351800, University of Washington, Seattle, Washington 95195-1800.

Integrative and Comparative Biology
|June 18, 2011
PubMed
Summary
This summary is machine-generated.

Mutation accumulation (MA) negatively impacts fly physiological performance across various traits. However, this variation in performance, except for the "get-a-grip" index, shows a weak correlation with competitive fitness.

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

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

Related Experiment Videos

Last Updated: May 31, 2026

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

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

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

Area of Science:

  • Evolutionary biology
  • Genetics
  • Physiology

Background:

  • The morphology-performance-fitness paradigm links traits to survival and reproduction.
  • Mutation accumulation (MA) lines are used to study genetic variation in the absence of selection.
  • Previous studies indicated MA lines have reduced fitness and life history scores.

Purpose of the Study:

  • To investigate the covariation between performance and fitness in MA lines of flies.
  • To determine how mutation accumulation affects diverse physiological performance traits.
  • To assess the relationship between performance variation and competitive fitness in MA lines.

Main Methods:

  • Studied 44 MA lines and 13 control lines of flies after 62 generations of mutation accumulation.
  • Measured larval and adult performance traits, including a "get-a-grip" index.
  • Analyzed covariances among performance traits and between traits and competitive fitness.

Main Results:

  • MA lines generally exhibited lower performance than control lines, though this finding is tentative due to control line contamination.
  • Correlations among performance traits varied, indicating differential effects of MA.
  • The "get-a-grip" index was the only performance trait positively correlated with competitive fitness.

Conclusions:

  • Mutation accumulation negatively affects diverse physiological performance aspects, but with trait-specific effects.
  • MA-induced performance variation is weakly correlated with competitive fitness, with the "get-a-grip" index being a notable exception.
  • The study highlights the complex relationship between physiological performance and fitness in the context of accumulated mutations.