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Related Experiment Video

Updated: Jun 27, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Supertrees join the mainstream of phylogenetics.

James A Cotton¹, Mark Wilkinson

¹School of Biological and Chemical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK. j.a.cotton@qmul.ac.uk

Trends in Ecology & Evolution

|November 22, 2008

Summary

New statistical models address concerns with supertree methods for building comprehensive phylogenies. This approach enables hypothesis-testing in phylogenetic inference, crucial for genomic data analysis.

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Last Updated: Jun 27, 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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Published on: February 5, 2014

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

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

Published on: July 11, 2025

Area of Science:

Phylogenetics
Computational Biology
Genomics

Background:

Supertree methods are widely used for constructing large phylogenies but face challenges regarding their adequacy.
Existing supertree approaches may not fully capture the complexity of evolutionary relationships.

Purpose of the Study:

To introduce a novel statistical model for supertree inference that accounts for incongruence between phylogenetic trees.
To enable advanced phylogenetic analyses, such as hypothesis-testing and model-choice, within the supertree framework.

Main Methods:

Development of a statistical model of incongruence between phylogenetic trees.
Application of maximum-likelihood principles to supertree construction.
Integration of hypothesis-testing and model-choice methodologies.

Main Results:

The proposed model allows for statistical assessment of incongruence in supertree construction.
Maximum-likelihood supertree inference is enabled, enhancing analytical rigor.
The approach facilitates the application of established phylogenetic techniques to supertree data.

Conclusions:

The new statistical model offers a more robust approach to supertree construction.
This methodology enhances the utility of supertrees for hypothesis-testing in phylogenetics.
The approach holds significant potential for future phylogenetic inference, particularly with large-scale genomic data.