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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,...

What is Evolutionary History?

What is Evolutionary History?

Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.

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.

Evolutionary Relationships through Genome Comparisons

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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...

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Related Experiment Video

Updated: May 23, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Integrating Earth history into phylogenetic diversification models.

Alexis Licht¹, Isabel Sanmartín², Andrea S Meseguer²

¹Aix-Marseille Université, CNRS, IRD, INRAE, CEREGE, Aix-en-Provence, France.

Trends in Ecology & Evolution

|May 21, 2026

Summary

New macroevolutionary models link Earth's history to biodiversity dynamics. Integrating Earth and life sciences data presents challenges but offers deeper insights into evolution and paleoenvironmental change.

Keywords:

biodiversity modeling macroevolutionary modeling paleoclimate paleogeography phylogeny

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Last Updated: May 23, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Published on: August 14, 2018

A Practical Guide to Phylogenetics for Nonexperts

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A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

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Published on: July 11, 2025

Area of Science:

Macroevolutionary biology
Paleosciences
Biodiversity dynamics

Background:

Likelihood-based models and process-based macroevolutionary simulations are advancing the integration of paleogeographic and paleoclimatic data.
These models offer deeper insights into how paleoenvironmental changes influence diversification.
Significant challenges persist in merging Earth and life sciences data due to data type, uncertainty, and resolution disparities.

Purpose of the Study:

To review current practices, tools, and limitations in integrating Earth science data with macroevolutionary models.
To emphasize the importance of interdisciplinary collaboration for bridging Earth and life sciences.
To provide practical guidelines for resource selection and uncertainty management in this interdisciplinary field.

Main Methods:

Literature review synthesizing current practices and tools.
Analysis of challenges in merging disparate data types, uncertainties, and resolutions.
Emphasis on interdisciplinary collaboration and practical guidelines.

Main Results:

Advances in macroevolutionary modeling allow for integration of paleogeographic and paleoclimatic constraints.
Challenges in data integration (type, uncertainty, resolution) hinder comprehensive understanding.
Interdisciplinary collaboration is crucial for effective merging of Earth and life sciences data.

Conclusions:

Merging Earth and life sciences data through advanced macroevolutionary models refines understanding of past environmental impacts on evolution.
Addressing data integration challenges and fostering collaboration are key to bridging these scientific disciplines.
This interdisciplinary approach enhances insights into how Earth's history shapes biodiversity dynamics.