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

Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...
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).
Experimental Designs01:16

Experimental Designs

An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
Limits to Natural Selection01:38

Limits to Natural Selection

Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

You might also read

Related Articles

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

Sort by
Same author

Comment on 'How useful is chest X-ray in addition to routine QuantiFERON® in the detection of latent tuberculosis prior to biologics?'

Clinical and experimental dermatology·2024
Same author

Paediatrics and genetics.

Clinical and experimental dermatology·2024
Same author

The sunbed trend in Ireland.

The British journal of dermatology·2024
Same author

Multi-trait diversification in marine diatoms in constant and warmed environments.

Proceedings. Biological sciences·2024
Same author

Multivariate trait analysis reveals diatom plasticity constrained to a reduced set of biological axes.

ISME communications·2023
Same author

Genus-Wide Transcriptional Landscapes Reveal Correlated Gene Networks Underlying Microevolutionary Divergence in Diatoms.

Molecular biology and evolution·2023
Same journal

Superorganismal Anisogamy: A Comparative Test of an Extended Theory.

Evolution; international journal of organic evolution·2026
Same journal

The role of microbial resource mutualists in plant adaptation to abiotic environments.

Evolution; international journal of organic evolution·2026
Same journal

Museum genomics links MC1R alleles to adaptive winter coat color polymorphism in the long-tailed weasel.

Evolution; international journal of organic evolution·2026
Same journal

Repeated evolution of iridescence and hindwing tails is associated with morphometric flight proxies in skipper butterflies.

Evolution; international journal of organic evolution·2026
Same journal

Temperature-dependent competition predicts contrasting outcomes of adjacent secondary contact zones in darters (Percidae:Etheostoma).

Evolution; international journal of organic evolution·2026
Same journal

Sex allocation of hermaphrodites in metapopulations with frequent population extinction and recolonization.

Evolution; international journal of organic evolution·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

New model systems for experimental evolution.

Sinéad Collins1

  • 1Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK. s.collins@ed.ac.uk

Evolution; International Journal of Organic Evolution
|July 3, 2013
PubMed
Summary
This summary is machine-generated.

Microbial experimental evolution explores fundamental evolutionary questions. This research highlights novel marine model systems for studying ocean global change responses.

Keywords:
Adaptationexperimental evolutionselection

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

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

Related Experiment Videos

Last Updated: May 10, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

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

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Marine Science

Background:

  • Experimental evolution leverages model systems to investigate evolutionary mechanisms.
  • Traditional model systems are well-established but may not capture diverse evolutionary scenarios.

Discussion:

  • This section introduces novel model systems for microbial experimental evolution.
  • Emphasis is placed on marine environments to study evolutionary adaptation.
  • These systems offer unique advantages for understanding evolution in the oceans.

Key Insights:

  • Novel model systems expand the scope of experimental evolution research.
  • Marine model systems are crucial for addressing global change impacts.
  • Understanding evolutionary responses in oceans is vital for predicting future ecological shifts.

Outlook:

  • Future research should explore diverse novel model systems.
  • Continued focus on marine environments will yield critical insights into ocean adaptation.
  • This work supports predicting and mitigating the effects of global change on marine ecosystems.