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Updated: Jun 30, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Dollo Parsimony Overestimates Ancestral Gene Content Reconstructions.

Alex Gàlvez-Morante¹, Laurent Guéguen², Paschalis Natsidis³

¹Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona 08003, Spain.

Genome Biology and Evolution

|March 22, 2024

Summary

This summary is machine-generated.

Dollo parsimony overestimates ancestral gene content due to its assumption against gene gain. This study shows maximum likelihood methods are more appropriate for reconstructing gene family evolution using sequence homology.

Keywords:

Dollo parsimony ancestral reconstruction gene family evolution maximum likelihood phylogenomics

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Area of Science:

Evolutionary biology
Genomics
Bioinformatics

Background:

Ancestral reconstruction is key to understanding gene family evolution.
Dollo parsimony is a common but potentially flawed method for this task.
Its assumption that characters are not regained conflicts with molecular evolution realities.

Purpose of the Study:

To test the suitability of Dollo parsimony for ancestral gene content reconstruction.
To compare Dollo parsimony with a maximum likelihood approach.
To evaluate method performance using simulated and real eukaryotic data.

Main Methods:

Simulated 5,000-gene datasets with varying evolutionary rates.
Applied Dollo parsimony and maximum likelihood methods for ancestral reconstruction.
Reconstructed protein domain evolution on a eukaryotic phylogeny.

Main Results:

Dollo parsimony frequently overestimated ancestral gene content.
Overestimations were most pronounced near the root of the phylogenetic tree.
Maximum likelihood methods provided a more accurate reconstruction.

Conclusions:

Dollo parsimony is inappropriate for ancestral reconstruction based on sequence homology.
Its assumption of non-reciprocal gain hinders accurate evolutionary inference.
Maximum likelihood approaches are recommended for gene family evolution studies.