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

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.
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.
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,...
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...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Phylogeny01:23

Phylogeny

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.

You might also read

Related Articles

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

Sort by
Same author

Foundation Model-Based Zero-Shot Tissue Segmentation of Pathological Images via the Mixture of Local-to-Global Experts.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

NF-κB signaling in osteoarthritis: integrating mechanical stress, innate immunity, and cartilage degeneration.

Frontiers in immunology·2026
Same author

Predictive value of multimodal neurological monitoring in the postoperative neurological dysfunction after cardiovascular surgery with cardiopulmonary bypass.

Frontiers in neurology·2026
Same author

Unaddressed Biases in a Retrospective Study of Anticoagulant Prophylaxis in Trauma Patients [Response to Letter].

International journal of general medicine·2026
Same author

Pathology illustrates pathogenesis of indium lung diseases in rats induced by indium-tin oxide nanoparticles.

Free radical biology & medicine·2026
Same author

MYLIP-dependent ubiquitination and degradation of LDLR in acute myeloid leukemia and MAPK signaling.

Molecular and cellular probes·2026
Same journal

Assessment of lower incisor position and symphysis dimensions among different skeletal patterns in the Chhattisgarh population.

Bioinformation·2026
Same journal

Low T3 syndrome and short-term outcomes in patients with acute decompensated heart failure: A retrospective observational study.

Bioinformation·2026
Same journal

Cardiovascular risk prevention awareness and practices in type 2 diabetes: Linking HbA1c and lipid levels.

Bioinformation·2026
Same journal

Assessment of periodontal condition using basic periodontal examination scores: A retrospective clinical study.

Bioinformation·2026
Same journal

Comparative evaluation of osseointegration among different surface modification techniques in dental implants.

Bioinformation·2026
Same journal

Micro-osteoperforations' impact on orthodontic tooth movement rate: Split mouth research.

Bioinformation·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Constructing phylogenetic trees using interacting pathways.

Peng Wan1, Dongsheng Che

  • 1Department of Computer Science, East Stroudsburg University, East Stroudsburg, PA 18301.

Bioinformation
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for constructing phylogenetic trees using interacting pathway data. This approach effectively reveals evolutionary relationships in eukaryotes and prokaryotes.

Keywords:
Hierarchical clusteringInteracting pathwaysMetabolomePhylogenetic trees

More Related Videos

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Related Experiment Videos

Last Updated: May 10, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Phylogenetic trees illustrate evolutionary connections between species, traditionally relying on physical or genetic traits.
  • High-throughput technologies generate vast biological datasets, necessitating advanced analytical methods.
  • Existing phylogenetic construction methods often overlook the significance of biological pathway interactions.

Purpose of the Study:

  • To develop and evaluate a new method for building phylogenetic trees.
  • To utilize interacting pathway information for phylogenetic analysis.
  • To explore evolutionary relationships within eukaryotes and prokaryotes using this novel approach.

Main Methods:

  • Applied hierarchical clustering to analyze interacting pathway data.
  • Focused on two major domains of life: eukaryotes and prokaryotes.
  • Developed a computational framework for phylogenetic tree construction based on pathway interactions.

Main Results:

  • Demonstrated the effectiveness of using interacting pathways for phylogenetic analysis.
  • Preliminary results indicate successful reconstruction of evolutionary relationships.
  • The method shows promise in uncovering hidden evolutionary patterns.

Conclusions:

  • Interacting pathway data offers a valuable resource for phylogenetic tree construction.
  • This novel approach provides an effective alternative to traditional methods.
  • Further research can expand this method to a broader range of organisms and datasets.