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Updated: Mar 1, 2026

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

ACCURACY OF ESTIMATED PHYLOGENIES: EFFECTS OF TREE TOPOLOGY AND EVOLUTIONARY MODEL.

F James Rohlf¹, W S Chang¹, R R Sokal¹

¹Department of Ecology and Evolution, State University of New York, Stony Brook, NY, 11794, USA.

Evolution; International Journal of Organic Evolution

|June 1, 2017

Summary

This summary is machine-generated.

Phylogenetic tree estimation accuracy is most influenced by evolutionary models, not tree topology. Most current phylogenetic methods likely produce inaccurate trees, highlighting the need to view them as estimations, not reconstructions.

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Last Updated: Mar 1, 2026

A Practical Guide to Phylogenetics for Nonexperts

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Published on: February 5, 2014

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

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Published on: August 16, 2017

Area of Science:

Evolutionary Biology
Phylogenetics
Computational Biology

Background:

Accurate phylogenetic tree estimation is crucial for understanding evolutionary history.
The influence of various factors on phylogenetic accuracy remains an active area of research.

Purpose of the Study:

To investigate the relative importance of tree topology, evolutionary rates, and evolutionary models on phylogenetic tree estimation accuracy.
To compare the performance of UPGMA clustering and maximum parsimony methods under different evolutionary scenarios.

Main Methods:

A simulation study was conducted using eight operational taxonomic units (OTUs).
Three evolutionary context models (phyletic, speciational, punctuational) and varying evolutionary rates were simulated.
UPGMA clustering and maximum parsimony (Wagner trees) were employed for phylogenetic reconstruction.

Main Results:

Evolutionary context models had the largest impact on phylogenetic estimation accuracy for both methods.
The interaction between stemminess (a measure of tree balance) and evolutionary context was the next most significant factor.
Both UPGMA and maximum parsimony performed poorly under punctuational evolutionary models.
Under phyletic models, trees with higher stemminess were estimated more accurately.

Conclusions:

The majority of estimated phylogenetic trees are likely to be inaccurate.
Current phylogenetic methods should be considered as estimation tools rather than definitive reconstructions.
Understanding evolutionary models is critical for improving phylogenetic accuracy.