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...
Evolutionary Psychology01:20

Evolutionary Psychology

Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the human psyche...
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.
Convergent Evolution01:54

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...

You might also read

Related Articles

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

Sort by
Same author

Kente: A Graph-based Pangenomic Approach for Horizontal Gene Transfer Detection in Microbiomes.

bioRxiv : the preprint server for biology·2026
Same author

The blood-brain barrier-penetrating fusion protein BBB-ABP selectively binds amyloid-β oligomers and prevents in vitro neurotoxicity.

Journal of Alzheimer's disease : JAD·2026
Same author

Genomics as a time capsule: insights from Oreobates chiquitanus type specimens.

BMC genomics·2026
Same author

Impact of Data Error on Phylogenetic Network Inference from Gene Trees Under the Multispecies Network Coalescent.

Methods in molecular biology (Clifton, N.J.)·2026
Same author

PhyloSystemX: Enhancing the Analysis of Interaction Networks.

Methods in molecular biology (Clifton, N.J.)·2026
Same author

Leveraging spectrum of graph sheaf Laplacian as a genome-architecture-aware measure of microbiome diversity.

bioRxiv : the preprint server for biology·2026
Same journal

Genetic suppressors as new therapeutic targets for Mendelian diseases.

Trends in genetics : TIG·2026
Same journal

Beyond housekeeping: snRNA diversity, regulation, and human disease.

Trends in genetics : TIG·2026
Same journal

Rethinking mitochondrial metabolism: Intraindividual variability meets population constraints.

Trends in genetics : TIG·2026
Same journal

A role for epigenetics in rapid adaptation.

Trends in genetics : TIG·2026
Same journal

The myth of asexual fungi.

Trends in genetics : TIG·2026
Same journal

Rethinking molecular evolution through protein language model embeddings.

Trends in genetics : TIG·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

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

Networks: expanding evolutionary thinking.

Eric Bapteste1, Leo van Iersel, Axel Janke

  • 1Université Pierre et Marie Curie, Paris, France.

Trends in Genetics : TIG
|June 15, 2013
PubMed
Summary
This summary is machine-generated.

Networks are a leading tool for studying complex evolutionary relationships that traditional tree models cannot capture. This approach is vital for understanding organismal evolution given genomic complexities.

More Related Videos

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

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

Related Experiment Videos

Last Updated: May 10, 2026

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

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

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

Area of Science:

  • Evolutionary biology
  • Bioinformatics
  • Genomics

Background:

  • Traditional phylogenetic analyses often rely on tree models.
  • Genomic complexity presents challenges for tree-based evolutionary studies.
  • Non-tree-like evolutionary patterns are increasingly recognized.

Purpose of the Study:

  • To highlight the utility of network models in evolutionary biology.
  • To present networks as a superior alternative to tree models for complex evolutionary scenarios.
  • To underscore the importance of network approaches in understanding genome evolution.

Main Methods:

  • Review of network-based methodologies in evolutionary studies.
  • Comparative analysis of network versus tree models.
  • Application of network analysis to complex genomic data.

Main Results:

  • Network models effectively represent non-tree-like evolutionary histories.
  • Genomic complexities are better accommodated by network structures.
  • Networks provide a more comprehensive framework for evolutionary inference.

Conclusions:

  • Network approaches are essential for modern evolutionary biology.
  • Understanding complex genomes necessitates the use of evolutionary networks.
  • Networks offer a powerful paradigm for future evolutionary research.