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ASTER: A Package for Large-Scale Phylogenomic Reconstructions.

Chao Zhang1,2,3, Rasmus Nielsen1,2, Siavash Mirarab4

  • 1Globe Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen 1350, Denmark.

Molecular Biology and Evolution
|July 16, 2025
PubMed
Summary
This summary is machine-generated.

ASTER integrates the ASTRAL family of species tree inference algorithms into one package. This enhances scalability, accuracy, and versatility for inferring species trees from diverse data types.

Keywords:
ASTRALphylogenomicsquartet-based methodsspecies tree inference

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Area of Science:

  • Computational Biology
  • Phylogenetics
  • Bioinformatics

Background:

  • Species tree inference is crucial for understanding evolutionary relationships.
  • Gene tree discordance is a common challenge in species tree reconstruction.
  • The ASTRAL family of methods offers powerful quartet-based approaches.

Purpose of the Study:

  • To integrate existing ASTRAL-like species tree inference methods into a unified package.
  • To provide a versatile and scalable solution for diverse phylogenetic data types.
  • To enhance the accuracy and accessibility of species tree inference.

Main Methods:

  • Development of the ASTER package, unifying ASTRAL-like algorithms.
  • Inclusion of specialized tools: ASTRAL, wASTRAL, ASTRAL-Pro, CASTER, and WASTER.
  • Support for various input data: gene tree topologies, branch lengths, alignments, and sequence reads.

Main Results:

  • ASTER provides a comprehensive suite for species tree inference.
  • The integrated package offers enhanced scalability and accuracy.
  • Each tool within ASTER is optimized for specific input data types.

Conclusions:

  • ASTER significantly advances species tree inference by consolidating and extending ASTRAL-like methods.
  • The package offers a versatile and user-friendly platform for phylogenetic analysis.
  • ASTER improves the efficiency and reliability of reconstructing evolutionary histories.