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Multi-allele species reconstruction using ASTRAL.

Maryam Rabiee1, Erfan Sayyari2, Siavash Mirarab2

  • 1Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093, United States.

Molecular Phylogenetics and Evolution
|November 6, 2018
PubMed
Summary

Sampling multiple individuals per species does not significantly improve species tree accuracy. Analyzing more genes is more effective than increasing individuals, even with high incomplete lineage sorting (ILS).

Keywords:
Gene treesILSMulti-alleleMultispecies coalescentPhylogenomicsSpecies treesSummary method

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Area of Science:

  • Phylogenetics
  • Population Genetics
  • Genomics

Background:

  • Genome-wide phylogeny reconstruction is common, aiming to model gene tree discordance with species trees.
  • Incomplete lineage sorting (ILS) is a key driver of discordance, linking population genetics and phylogenetics.
  • Existing methods like ASTRAL typically require one sample per species.

Purpose of the Study:

  • To extend the ASTRAL species tree reconstruction method to handle multi-individual (multi-allele) datasets.
  • To introduce heuristic methods for optimizing the search space in multi-individual datasets.
  • To evaluate the accuracy and scalability of the multi-individual ASTRAL-III and compare it with NJst.

Main Methods:

  • Developed and implemented extensions to the ASTRAL quartet-based method for multi-individual data.
  • Introduced heuristic search space construction for multi-individual datasets.
  • Conducted extensive simulation studies to assess accuracy and scalability, comparing ASTRAL-III with NJst.

Main Results:

  • The quartet-based optimization naturally extends to multi-individual datasets.
  • No strong evidence suggests that using multiple individuals significantly enhances species tree accuracy.
  • Sampling more genes proved more beneficial than sampling more individuals, even in shallow trees with high ILS.

Conclusions:

  • The multi-individual version of ASTRAL is a viable extension for species tree reconstruction.
  • Prioritizing the analysis of more genes over more individuals is generally more effective for improving phylogenetic accuracy.
  • These findings are particularly relevant for studies with shallow evolutionary histories and high levels of incomplete lineage sorting.