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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.1K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.1K
Phylogeny01:23

Phylogeny

64.1K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
64.1K
Convergent Evolution01:54

Convergent Evolution

34.1K
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.
34.1K
Phylogenetic Trees03:21

Phylogenetic Trees

51.2K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
51.2K
Synteny and Evolution02:31

Synteny and Evolution

3.9K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.9K
Eukaryotic Evolution01:24

Eukaryotic Evolution

43.0K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
43.0K

You might also read

Related Articles

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

Sort by
Same author

Changes in estimands and prevalence of discrepancies in conclusions under the two-trial paradigm: a systematic review.

Journal of clinical epidemiology·2026
Same author

Integrating Earth history into phylogenetic diversification models.

Trends in ecology & evolution·2026
Same author

Time to diagnosis and treatment of obstructive sleep apnoea using mandibular jaw movement monitoring versus polysomnography: an open-label, multicentre, randomised, controlled trial.

The Lancet regional health. Europe·2026
Same author

Netrin1 blockade alleviates resistance to chemotherapy in pancreatic cancer.

Nature·2026
Same author

Evolution of a trait distributed over a large fragmented population: propagation of chaos meets adaptive dynamics.

Journal of mathematical biology·2026
Same author

Study protocol for a theory-informed randomized controlled trial of a lifestyle and sleep intervention to improve quality of life and physical activity in inactive adults: the SleeP exercIse nutRition heALth+ SPIRAL+ study.

BMC public health·2026

Related Experiment Video

Updated: Mar 9, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

729

A Unifying Comparative Phylogenetic Framework Including Traits Coevolving Across Interacting Lineages.

Marc Manceau1,2,3, Amaury Lambert4,2, Héléne Morlon3

  • 1Muséum National d'Histoire Naturelle, 75005 Paris, France.

Systematic Biology
|December 23, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new phylogenetic framework to model how traits evolve, accounting for interactions between species. This approach enhances our understanding of coevolutionary processes and trait diversification.

Keywords:
Character displacementcoevolutioncomparative phylogeneticsinterspecific interactionslinear stochastic differential equationstrait evolution

More Related Videos

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.6K
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.2K

Related Experiment Videos

Last Updated: Mar 9, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

729
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.6K
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.2K

Area of Science:

  • Evolutionary Biology
  • Phylogenetics
  • Quantitative Genetics

Background:

  • Phylogenetic comparative methods are crucial for understanding trait evolution.
  • Existing models often do not fully capture interspecific interactions like competition or mutualism.
  • Developing models that incorporate these interactions is a key area for advancement.

Purpose of the Study:

  • To develop a general phylogenetic framework for multi-trait evolution that includes interspecific interactions.
  • To provide a method for deriving trait distributions under these models.
  • To facilitate efficient fitting of complex coevolutionary models.

Main Methods:

  • Developed a general comparative phylogenetic framework applicable to various phylogenetic trees.
  • Derived the probabilistic distribution of traits at tips for a broad class of models.
  • Demonstrated efficiency gains for fitting models, including the phenotype matching model.
  • Illustrated the framework with a toy model of mutualistic coevolution.

Main Results:

  • The new framework unifies many existing models and allows for new ones incorporating lineage interactions.
  • A multivariate normal distribution is shown to be the expected trait distribution for many interaction models.
  • Computation time for fitting models, such as phenotype matching, is significantly reduced.
  • The framework is flexible and applicable to both ultrametric and nonultrametric trees.

Conclusions:

  • The proposed framework offers a unified and flexible approach to studying phenotypic evolution with interspecific interactions.
  • It enables more realistic modeling of coevolutionary dynamics using phylogenetic data.
  • This work is expected to advance the field of coevolutionary studies from comparative data.