Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Phylogenetic Trees

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.

Phylogeny

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.

Catalysis

Catalysis

The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.

Evolutionary Relationships through Genome Comparisons

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...

You might also read

Related Articles

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

Sort by

Same author

Layered Porous Nanocubes: Harnessing Trimetallic PBA@WS<sub>2</sub>-Phosphorus Hybrid Architecture for Efficient Oxygen Evolution.

ACS applied materials & interfaces·2026

Same author

A Simple Microplate Assay for Accelerated Photocatalytic Activity Evaluation.

ACS environmental Au·2026

Same author

Sintering and Processing-Dependent Mechanical Behavior of UHMWPE and Its Nanocomposites in the Presence of Microfine UHMWPE.

ACS omega·2026

Same author

Automated Feature Engineering and Model Aggregation for Data-Driven Oxidative Coupling of Methane Catalyst Design.

ACS applied materials & interfaces·2025

Same author

Data-Driven Exploration of Critical Factors for Single-Phase High-Entropy Oxide Anode Materials.

The journal of physical chemistry letters·2025

Same author

Critical Properties for Stabilizing Pd Nanoparticles in Graphene Oxide Framework-Supported Catalysts: Insights from Multifaceted Characterization.

Langmuir : the ACS journal of surfaces and colloids·2025

Search research articles

Related Experiment Video

Updated: Sep 19, 2025

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

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

Published on: February 8, 2017

Catalyst Phylogenetic Tree: A Visualization Tool for Exploring Catalyst Research and Development from Tabular Data.

Sunao Nakanowatari¹, Toshiaki Taniike¹

¹Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan.

The Journal of Physical Chemistry Letters

|June 16, 2025

Summary

This study introduces a catalyst phylogenetic tree to visualize extensive catalyst data, revealing historical design trends and accelerating materials discovery. This method aids researchers in understanding catalyst evolution across different eras.

More Related Videos

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Related Experiment Videos

Last Updated: Sep 19, 2025

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

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

Published on: February 8, 2017

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Area of Science:

Materials Science
Computational Chemistry
Chemical Engineering

Background:

Data-driven catalyst design generates large, curated datasets.
Extracting historical trends from high-dimensional catalyst data is challenging for non-experts.
Existing methods limit broader accessibility to valuable historical insights.

Purpose of the Study:

To develop a method for visualizing vast catalyst datasets to reveal evolutionary trends.
To enable broader accessibility of historical data for catalyst research.
To accelerate materials discovery through effective data interpretation.

Main Methods:

Proposed a novel 'catalyst phylogenetic tree' visualization method.
Grouped catalysts into 'catalyst sets' based on elemental combinations.
Mapped physicochemical distances onto a phylogenetic tree structure.

Main Results:

Successfully visualized evolution in two public datasets (oxidative coupling, dry reforming of methane).
Identified distinct catalyst lineages with similar designs across different time periods.
Revealed standard catalyst designs within identified lineages.

Conclusions:

The catalyst phylogenetic tree effectively visualizes catalyst data evolution.
This approach can be extended to diverse materials beyond catalysts.
Maximizes the value of curated data, accelerating R&D across fields.