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

Phylogenetic Trees03:21

Phylogenetic Trees

45.7K
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.
45.7K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K
Phylogeny01:23

Phylogeny

44.7K
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.
44.7K
Synteny and Evolution02:31

Synteny and Evolution

3.3K
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...
3.3K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.0K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.0K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.2K
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...
7.2K

You might also read

Related Articles

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

Sort by
Same author

Displacement-Optimized Tanglegrams for Trees and Networks.

Molecular biology and evolution·2026
Same author

MMonitor for real-time monitoring of microbial communities using long reads.

Cell reports methods·2025
Same author

Sketch, capture and layout phylogenies.

PLoS computational biology·2025
Same author

PhyloFusion-Fast and Easy Fusion of Rooted Phylogenetic Trees into Rooted Phylogenetic Networks.

Systematic biology·2025
Same author

Transformations to Simplify Phylogenetic Networks.

Bulletin of mathematical biology·2025
Same author

Corrigendum: Interplay of various evolutionary modes in genome diversification and adaptive evolution of the family <i>Sulfolobaceae</i>.

Frontiers in microbiology·2025
Same journal

Hydrogen sulfide modulates gene networks in hypoxia/reoxygenation-stressed trophoblasts: insights from transcriptome profiling.

Frontiers in bioinformatics·2026
Same journal

Molecular Dynamics-Based validation of a quinazoline-based KRAS inhibitor (C9) identified through QSAR-guided discovery.

Frontiers in bioinformatics·2026
Same journal

Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.

Frontiers in bioinformatics·2026
Same journal

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
Same journal

Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq data.

Frontiers in bioinformatics·2026
Same journal

Polygenic modeling of genetic effects on both phenotypic mean and variance: distributional regression for BMI, blood and urine biomarkers in the UK Biobank.

Frontiers in bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jul 26, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.0K

Visualizing incompatibilities in phylogenetic trees using consensus outlines.

Daniel H Huson1,2, Banu Cetinkaya1,2

  • 1Algorithms in Bioinformatics, University of Tübingen, Tübingen, Germany.

Frontiers in Bioinformatics
|June 16, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces phylogenetic consensus outlines, a new, simpler method for visualizing evolutionary relationships and incompatibilities among multiple phylogenetic trees. This approach aids in understanding complex evolutionary data more effectively.

Keywords:
consensus methodsphylogenetic networkphylogeneticssoftwarevisualization

More Related Videos

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.4K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

Related Experiment Videos

Last Updated: Jul 26, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.0K
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.4K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

Area of Science:

  • Evolutionary biology
  • Computational phylogenetics
  • Bioinformatics

Background:

  • Phylogenetic analysis often generates numerous trees due to diverse methods and data.
  • Consensus trees summarize commonalities, while consensus networks visualize incompatibilities but can be complex.
  • Existing methods for visualizing tree incompatibilities face challenges in interpretability due to size and complexity.

Purpose of the Study:

  • To introduce a novel visualization method, the phylogenetic consensus outline, for representing incompatibilities among phylogenetic trees.
  • To present an effective algorithm for computing phylogenetic consensus outlines.
  • To demonstrate the utility and compare the phylogenetic consensus outline with existing methods.

Main Methods:

  • Development of the phylogenetic consensus outline concept.
  • Algorithm design for computing consensus outlines.
  • Application and comparison on Bayesian language phylogeny and water lily gene trees.

Main Results:

  • Phylogenetic consensus outlines offer a planar and interpretable visualization of tree incompatibilities.
  • The developed algorithm efficiently computes these outlines.
  • Demonstrated effectiveness on real-world phylogenetic datasets.

Conclusions:

  • Phylogenetic consensus outlines provide a simplified and effective alternative to complex consensus networks.
  • This new method enhances the visualization and interpretation of phylogenetic incongruence.
  • The approach is valuable for analyzing complex evolutionary datasets in phylogenetics.