Leveraging Weighted Quartet Distributions for Enhanced Species Tree Inference from Genome-Wide Data.

ABSTRACT: Species tree estimation from genes sampled from throughout the whole genome is challenging because of gene tree discordance, often caused by incomplete lineage sorting (ILS). Quartet-based summary methods for estimating species trees from a collection of gene trees are becoming popular due to their high accuracy and theoretical guarantees of robustness to arbitrarily high amounts of ILS. ASTRAL, the most widely used quartet-based method, aims to infer species trees by maximizing the number of quartets in the gene trees consistent with the species tree. An alternative approach is inferring quartets for all subsets of four species and amalgamating them into a coherent species tree. While summary methods can be sensitive to gene tree estimation error, quartet amalgamation offers an advantage

SUBMITTER: Hasan NB 

PROVIDER: S-EPMC12401674 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature