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How many characters are needed to reconstruct a phylogeny?

Alessio Capobianco1,2

  • 1GeoBio-Center LMU, Ludwig-Maximilians-Universität München, Munich 80333, Germany.

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|October 14, 2025
PubMed
Summary

Accurate Bayesian phylogenetics requires 100-500 discrete characters for reliable tree topology estimation, especially with morphological data. Multistate and labile characters improve accuracy for larger datasets.

Keywords:
Bayesian phylogeneticsMkvRevBayescharacter matrixdataset sizemolecular charactersmorphological characterssimulationsystematics

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Area of Science:

  • Evolutionary biology
  • Computational phylogenetics
  • Systematics

Background:

  • Bayesian phylogenetics is increasingly used for macroevolutionary studies.
  • Morphological datasets are typically smaller than molecular datasets, raising questions about their sufficiency for phylogenetic inference.
  • The number of discrete characters needed for accurate phylogenetic tree estimation in a Bayesian framework remains unclear.

Purpose of the Study:

  • To investigate the impact of the number of discrete characters on the accuracy and precision of Bayesian phylogenetic tree topology estimation.
  • To explore this relationship under varying conditions, including the number of taxa, tree length, and character states.

Main Methods:

  • A simulation study was conducted using the software RevBayes.
  • The study manipulated the number of sampled discrete characters, number of taxa, average number of state changes per character (tree length), and number of states per character.
  • Phylogenetic accuracy and precision were assessed based on these parameters.

Main Results:

  • Between 100 and 500 variable discrete characters are generally needed for sufficient accuracy and precision with up to 20 taxa.
  • Multistate characters yielded slightly more accurate estimates than binary characters.
  • More labile characters (more state changes) improved accuracy for trees with over 50 taxa.

Conclusions:

  • A minimum of 100-500 discrete characters is recommended for robust Bayesian phylogenetic analyses, particularly with morphological data.
  • The type of character (multistate vs. binary, labile vs. conservative) influences phylogenetic accuracy.
  • There is an ongoing need to characterize and digitize morphological diversity for phylogenetic research.