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

Microbial Phylogeny

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 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...

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.

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.

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.

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

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...

You might also read

Related Articles

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

Sort by

Same author

Converting and Constructing Effect Sizes With the Response Ratio.

Ecology letters·2026

Same author

Advice for improving the reproducibility of data extraction in meta-analysis.

Research synthesis methods·2023

Same author

Storm impacts on phytoplankton community dynamics in lakes.

Global change biology·2020

Same author

A meta-analysis reveals temperature, dose, life stage, and taxonomy influence host susceptibility to a fungal parasite.

Ecology·2020

Same author

Infected Mosquitoes Have Altered Behavior to Repellents: A Systematic Review and Meta-analysis.

Journal of medical entomology·2019

Same author

Effects of River Hydrology and Physicochemistry on Anchovy Abundance and Cymothoid Isopod Parasitism.

The Journal of parasitology·2019

Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026

Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026

Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026

Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026

Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026

Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 30, 2026

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

phyloMeta: a program for phylogenetic comparative analyses with meta-analysis.

Marc J Lajeunesse¹

¹Department of Integrative Biology, University of South Florida, Tampa, FL 33620, USA. lajeunesse@usf.edu

Bioinformatics (Oxford, England)

|July 26, 2011

Summary

This summary is machine-generated.

phyloMeta is a new software tool that integrates phylogenetic information into meta-analysis for ecologists and evolutionary biologists. It aids in analyzing effect size data within a comparative phylogenetic context, offering phylogenetic versions of traditional meta-analytical statistics.

More Related Videos

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Related Experiment Videos

Last Updated: May 30, 2026

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Area of Science:

Ecology
Evolutionary Biology
Conservation Biology

Background:

Meta-analysis is a statistical method for combining results from independent studies.
Phylogenetic comparative methods account for the evolutionary relationships between species.
Integrating these approaches allows for more robust biological inferences.

Purpose of the Study:

To introduce phyloMeta, a novel console program for phylogenetic meta-analysis.
To provide a tool for analyzing effect size data in a comparative phylogenetic context.
To offer phylogenetic versions of standard meta-analytical statistics.

Main Methods:

phyloMeta is a C/C++ console program.
It is designed for command-line use in MS Windows environments.
The software estimates phylogenetic versions of weighted regressions, homogeneity tests, moderator tests, and fixed/random-effects models.

Main Results:

phyloMeta facilitates the integration of phylogenetic information into meta-analysis.
It enables analysis of effect size data from published studies.
The software provides phylogenetic analogues of traditional meta-analytical statistics.

Conclusions:

phyloMeta is an easy-to-use tool for ecologists, evolutionary biologists, and conservation biologists.
It enhances meta-analysis by incorporating phylogenetic context.
The software supports various meta-analytical techniques, including regression, homogeneity testing, and moderator analysis.