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Updated: May 31, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Evaluating phylogenetic congruence in the post-genomic era
Jessica W Leigh1, François-Joseph Lapointe, Philippe Lopez
1Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand. jleigh@maths.otago.ac.nz
Novel methods are needed to assess incongruence in large phylogenomic datasets, especially for prokaryotes and viruses. This study proposes new approaches to analyze molecular evolution and evolutionary processes across diverse genomes.
Area of Science:
- Evolutionary Biology
- Genomics
- Bioinformatics
Background:
- Congruence is vital in evolutionary biology for phylogenomics, coevolution, and common descent studies.
- Existing incongruence methods are inadequate for large phylogenomic datasets, particularly those from prokaryotes and viruses.
- Current tree comparison methods assume uncorrelated structures, unsuitable for complex phylogenomic analyses.
Purpose of the Study:
- To develop novel methods for assessing incongruence in large-scale molecular evolution studies.
- To address limitations of existing methods in handling large gene numbers and high incongruence levels.
- To support the investigation of evolutionary process homogeneity in phylogenomics.
Main Methods:
- Development of new incongruence assessment techniques.
- Adaptation of methods for large datasets and high levels of evolutionary heterogeneity.
- Modeling of missing data patterns across different genetic markers.
Main Results:
- Proposed methods are suitable for analyzing molecular evolution in vast numbers of genomes.
- The new approaches accommodate challenges posed by large gene sets and significant incongruence.
- The study facilitates the investigation of evolutionary homogeneity where tree structures differ.
Conclusions:
- Novel incongruence assessment methods are crucial for modern phylogenomics.
- The developed methods enhance the analysis of molecular evolution in prokaryotes and viruses.
- This work supports a deeper understanding of evolutionary processes shaping diverse genomes.
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