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

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
The Evidence for Evolution02:55

The Evidence for Evolution

Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.The collection of fossils within sedimentary rocks give a record of common ancestry and often depicts the history of evolution.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
Phylogenetic Trees03:21

Phylogenetic Trees

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.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...

You might also read

Related Articles

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

Sort by
Same author

<i>ssarp</i>: An R Package for Efficiently Inferring Species- and Speciation-Area Relationships.

Ecology and evolution·2026
Same author

Unlocking a flexible set of phylogenetic models for discrete and continuous trait evolution using discretized stochastic diffusion.

bioRxiv : the preprint server for biology·2026
Same author

Conducting Impactful Research at Primarily Undergraduate Institutions.

Integrative and comparative biology·2025
Same author

Cryptic anatomical adaptive peak shifts and transitions along the body elongation continuum in zoarcoid fishes.

Zoology (Jena, Germany)·2025
Same author

Copy-cat evolution: Divergence and convergence within and between cat and dog breeds.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Leveraging Comparative Phylogenetics for Evolutionary Medicine: Applications to Comparative Oncology.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Jul 2, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Phylogenetic signal, evolutionary process, and rate.

Liam J Revell1, Luke J Harmon, David C Collar

  • 1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA. lrevell@fas.harvard.edu

Systematic Biology
|August 19, 2008
PubMed
Summary
This summary is machine-generated.

Phylogenetic signal measures trait dependence due to species relationships. This study shows evolutionary rate does not reliably predict phylogenetic signal, cautioning against interpreting evolutionary process from signal alone.

More Related Videos

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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

Related Experiment Videos

Last Updated: Jul 2, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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

Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Quantitative genetics

Background:

  • Phylogenetic signal quantifies trait value dependence among related species.
  • This pattern is often misinterpreted as directly reflecting evolutionary rates or processes.
  • Previous assumptions linked high rates to low signal and low rates to high signal.

Purpose of the Study:

  • To clarify the relationship between phylogenetic signal, evolutionary rate, and evolutionary process.
  • To investigate these relationships using individual-based numerical simulations.
  • To provide evidence-based recommendations for interpreting phylogenetic signal.

Main Methods:

  • Individual-based numerical simulations on stochastic phylogenetic trees.
  • Analysis of quantitative trait evolution under various models.
  • Statistical assessment of the relationship between signal, rate, and process.

Main Results:

  • Under homogeneous rate genetic drift, evolutionary rate and phylogenetic signal are unrelated.
  • Complex relationships exist between signal, rate, and process under models like functional constraint and fluctuating selection.
  • Estimates of phylogenetic signal do not reliably indicate evolutionary process or rate.

Conclusions:

  • Interpreting evolutionary process or rate solely from phylogenetic signal estimates is not recommended.
  • The relationship between phylogenetic signal and evolutionary dynamics is nuanced and model-dependent.
  • Further research is needed to disentangle the complex interplay of factors influencing phylogenetic signal.