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

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...

Global Climate Change

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.

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.

Applications of Molecular Taxonomy

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

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.

Genetics of Speciation

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.

You might also read

Related Articles

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

Sort by

Same author

Finding maximum common contractions between phylogenetic networks.

Algorithms for molecular biology : AMB·2025

Same author

New generalized metric based on branch length distance to compare B cell lineage trees.

Algorithms for molecular biology : AMB·2024

Same author

Comparison of phylogenetic trees defined on different but mutually overlapping sets of taxa: A review.

Ecology and evolution·2024

Same author

Host-Virus Cophylogenetic Trajectories: Investigating Molecular Relationships between Coronaviruses and Bat Hosts.

Viruses·2024

Same author

GPTree Cluster: phylogenetic tree cluster generator in the context of supertree inference.

Bioinformatics advances·2023

Same author

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms.

PloS one·2022

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: Jan 14, 2026

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

aPhyloGeo: a Python application for correlating genetic and climatic conditions.

Ana Laura Chenoweth Galaz^1,2, Nadia Tahiri²

¹Department of Mathematics, University of Sonora, 83000, Sonora, Mexico.

Bioinformatics (Oxford, England)

|October 22, 2025

Summary

This summary is machine-generated.

This study introduces aPhyloGeo, a Python application for linking genetic diversity with environmental data. It helps identify genetic adaptations to specific climates using reproducible workflows.

More Related Videos

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

Related Experiment Videos

Last Updated: Jan 14, 2026

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

Area of Science:

Evolutionary biology
Phylogeography
Genomics

Background:

Investigating the link between environmental variation and genetic diversity is crucial in evolutionary biology.
Understanding species' genetic adaptations to specific environments requires correlating genetic and climatic data.
Integrated and reproducible workflows are essential for accurate analysis.

Purpose of the Study:

To develop a novel application, aPhyloGeo, for analyzing correlations between genetic variation and environmental data.
To provide a robust and reproducible computational framework for phylogeographic research.
To facilitate the identification of genetic adaptations to environmental factors.

Main Methods:

Developed aPhyloGeo, an open-source Python application.
Integrated sequence alignment, phylogenetic inference (sliding window), and statistical tests (Mantel, Procrustean randomization).
Implemented multicore processing for efficient data analysis.

Main Results:

aPhyloGeo enables the investigation of genetic variation within a phylogenetic framework.
Identified mutation hotspots strongly associated with environmental variables.
Provided a reproducible pipeline for evaluating localized genomic variation and climatic distribution relationships.

Conclusions:

aPhyloGeo offers a comprehensive solution for exploring genotype-environment correlations.
The application supports reproducible research in evolutionary biology and phylogeography.
Facilitates the discovery of adaptive genetic variations across environmental gradients.