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Species Tree Branch Length Estimation despite Incomplete Lineage Sorting, Duplication, and Loss
Yasamin Tabatabaee1, Chao Zhang2, Shayesteh Arasti3
1Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Genome Biology and Evolution
|November 26, 2025
Summary
CASTLES-Pro accurately estimates species tree branch lengths, even with gene duplication and loss. This new method improves upon existing tools for multi-locus phylogenetic analyses.
Area of Science:
- Phylogenetics
- Evolutionary Biology
- Bioinformatics
Background:
- Phylogenetic branch lengths are crucial for evolutionary analyses.
- Gene tree heterogeneity from incomplete lineage sorting, duplication, and loss complicates species tree branch length estimation.
- Existing methods inadequately address multi-copy gene family trees.
Purpose of the Study:
- To introduce CASTLES-Pro, an algorithm for estimating species tree branch lengths.
- To account for gene duplication/loss and incomplete lineage sorting in branch length estimation.
- To improve upon existing methods like CASTLES for both single-copy and multi-copy gene trees.
Main Methods:
- Developed the CASTLES-Pro algorithm.
- Utilized simulation studies to evaluate performance.
- Compared CASTLES-Pro against alternative methods, including concatenation.
Main Results:
- CASTLES-Pro demonstrates higher accuracy than existing alternatives.
- The algorithm mitigates the overestimation of terminal branch lengths common with concatenation.
- CASTLES-Pro shows relative robustness to horizontal gene transfer.
Conclusions:
- CASTLES-Pro provides a robust solution for species tree branch length estimation.
- The method effectively handles gene duplication, loss, and incomplete lineage sorting.
- CASTLES-Pro represents a significant advancement for multi-locus phylogenetic analyses.
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