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

6.8K
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...
6.8K
Phylogenetic Trees03:21

Phylogenetic Trees

49.1K
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.
49.1K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.9K
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...
7.9K
Phylogeny01:23

Phylogeny

56.5K
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.
56.5K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

513
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
513
Synteny and Evolution02:31

Synteny and Evolution

3.7K
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...
3.7K

You might also read

Related Articles

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

Sort by
Same author

Genomic and physiological changes in a sexually selected and frugivorous bird radiation.

Current biology : CB·2026
Same author

Statistical and Structural Bias in Birth-Death Models.

Bulletin of mathematical biology·2026
Same author

Unified theory resolves phenological paradoxes in biocollection data by modeling phenophase duration during Bayesian inference.

The New phytologist·2026
Same author

Probabilistic principal component analysis for phylogenetic comparative studies.

Evolution; international journal of organic evolution·2026
Same author

Gestation length both shapes and is shaped by other life history traits in terrestrial eutherian mammals.

Evolution letters·2025
Same author

Longevity in plants impacts phylogenetic and population dynamics.

The New phytologist·2025
Same journal

Traffic Reduction during COVID-19 Lockdowns Benefited Species Already Tolerant of Noise Pollution: An Acoustic Analysis.

The American naturalist·2026
Same journal

On Pachycephalosaurs, Trade-Offs, and the Historical Genesis of Sociosexual Display Structures.

The American naturalist·2026
Same journal

Structured Landscapes Promote Persistence by Favoring Prudent Predators.

The American naturalist·2026
Same journal

Can Carbon Economy Explain Leaf Dynamic Seasonality in a Tropical Seasonal Rainforest?

The American naturalist·2026
Same journal

Behavior and Physiology Outpace Form When Linking Traits to Ecological Responses within Populations: A Meta-Analysis.

The American naturalist·2026
Same journal

Seminal Fluid Proteins as Regulation Factors for Optimizing Reproduction: A Modeling Approach.

The American naturalist·2026
See all related articles

Related Experiment Video

Updated: Dec 29, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.4K

Comparative Analyses of Phenotypic Sequences Using Phylogenetic Trees.

Daniel S Caetano, Jeremy M Beaulieu

    The American Naturalist
    |February 5, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Phenotypic sequence evolution, like cricket songs, shows strong correlations between neighboring trait positions. This new method accurately estimates evolutionary rates for ordered traits, even with limited data.

    Keywords:
    animal behaviordevelopmentontogenetic seriesphylogenetic comparative methodssequence evolutionsexual selection

    More Related Videos

    A Practical Guide to Phylogenetics for Nonexperts
    12:00

    A Practical Guide to Phylogenetics for Nonexperts

    Published on: February 5, 2014

    35.9K
    Comparative Lesions Analysis Through a Targeted Sequencing Approach
    08:16

    Comparative Lesions Analysis Through a Targeted Sequencing Approach

    Published on: November 5, 2019

    7.1K

    Related Experiment Videos

    Last Updated: Dec 29, 2025

    Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
    08:57

    Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

    Published on: August 14, 2018

    16.4K
    A Practical Guide to Phylogenetics for Nonexperts
    12:00

    A Practical Guide to Phylogenetics for Nonexperts

    Published on: February 5, 2014

    35.9K
    Comparative Lesions Analysis Through a Targeted Sequencing Approach
    08:16

    Comparative Lesions Analysis Through a Targeted Sequencing Approach

    Published on: November 5, 2019

    7.1K

    Area of Science:

    • Evolutionary biology
    • Quantitative genetics
    • Bioacoustics

    Background:

    • Phenotypic sequences are multivariate traits with ordered elements (e.g., teeth, ontogenetic stages).
    • Their sequential nature allows for unique evolutionary patterns between adjacent and distant positions.
    • Existing comparative methods face challenges in analyzing sequence traits due to their unique structure.

    Purpose of the Study:

    • To develop and implement an evolutionary rate estimation method that accounts for the sequential organization of phenotypic traits.
    • To investigate the evolutionary patterns of cricket calling songs as a model system for sequence traits.
    • To test for correlations in evolutionary rates between neighboring and distant positions within a phenotypic sequence.

    Main Methods:

    • Developed a novel approach to estimate trait evolution rates incorporating sequence organization.
    • Applied comparative models to analyze the temporal evolution of cricket calling songs.
    • Tested hypotheses regarding correlated rates of evolution along the sequence.

    Main Results:

    • Cricket song evolution exhibits strong autocorrelation, with neighboring positions showing correlated rates of evolution.
    • The implemented models perform effectively even with small sample sizes for sequence phenotypes.
    • Rate variation is not independent of sequence position, indicating positional effects on evolution.

    Conclusions:

    • The developed method accurately captures evolutionary dynamics in sequence traits.
    • Phenotypic sequence evolution is characterized by significant autocorrelation.
    • This flexible approach is applicable to diverse multivariate traits with sequence-like structures.