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

5.8K
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...
5.8K
Microbial Phylogeny01:28

Microbial Phylogeny

88
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,...
88
Phylogenetic Trees03:21

Phylogenetic Trees

41.7K
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.
41.7K
Phylogenetic Trees03:21

Phylogenetic Trees

5.7K
5.7K
Phylogeny01:23

Phylogeny

47.2K
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.
47.2K
Synteny and Evolution02:31

Synteny and Evolution

2.9K
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...
2.9K

You might also read

Related Articles

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

Sort by
Same author

From Small Parsimony to Horizontal Gene Transfer: Inferring Horizontal Transfer and Gene Loss for Single-Origin Characters.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same author

Beyond Synteny: A Scalable Phylogenomics Method for Whole-Genome Duplication Detection.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same author

FullSynesth: Syntenic Reconciliation of a Set of Consistent Gene Trees.

Theory of computing systems·2026
Same author

Quantifying Hierarchical Conflicts in Homology Statements.

Journal of molecular evolution·2025
Same author

Finding maximum common contractions between phylogenetic networks.

Algorithms for molecular biology : AMB·2025
Same author

The path-label reconciliation (PLR) dissimilarity measure for gene trees.

Algorithms for molecular biology : AMB·2025

Related Experiment Video

Updated: May 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

14.3K

Gene tree correction guided by orthology.

Manuel Lafond, Magali Semeria, Krister M Swenson

    BMC Bioinformatics
    |February 26, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a method to reconcile gene trees with external orthology data, improving evolutionary relationship accuracy. Modified gene trees remain statistically similar to original ones, validating the approach.

    More Related Videos

    A Practical Guide to Phylogenetics for Nonexperts
    12:00

    A Practical Guide to Phylogenetics for Nonexperts

    Published on: February 5, 2014

    35.2K
    Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms
    09:30

    Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

    Published on: September 13, 2018

    7.9K

    Related Experiment Videos

    Last Updated: May 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

    14.3K
    A Practical Guide to Phylogenetics for Nonexperts
    12:00

    A Practical Guide to Phylogenetics for Nonexperts

    Published on: February 5, 2014

    35.2K
    Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms
    09:30

    Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

    Published on: September 13, 2018

    7.9K

    Area of Science:

    • Computational Biology
    • Bioinformatics
    • Evolutionary Genomics

    Background:

    • Gene trees provide orthology and paralogy information.
    • This information can conflict with other evolutionary signals like conserved synteny.

    Purpose of the Study:

    • To integrate external orthology information into gene tree construction.
    • To develop algorithms for modifying gene trees based on orthology constraints.

    Main Methods:

    • Developed polynomial-time algorithms to modify gene trees.
    • Used Robinson-Foulds distance to measure tree similarity.
    • Assessed tree validity using likelihood ratios and sequence alignments.

    Main Results:

    • Created algorithms for gene tree modification incorporating orthology constraints.
    • Modified trees were found to be statistically equivalent to original trees via likelihood ratio tests.
    • The approach effectively reconciles gene trees with external evolutionary data.

    Conclusions:

    • The proposed method successfully integrates external orthology data into gene tree construction.
    • Modified gene trees maintain statistical validity, enhancing orthology inference.
    • This approach offers a robust way to resolve conflicts in evolutionary relationship data.