Beyond Synteny: A Scalable Phylogenomics Method for Whole-Genome Duplication Detection

Area of Science:

• Evolutionary Biology
• Genomics
• Bioinformatics

Background:

• Gene duplication, particularly whole-genome duplications (WGDs), is a key evolutionary mechanism driving adaptation and functional innovation across diverse taxa.
• Detecting ancient WGDs is challenging due to genomic rearrangements and gene loss, with existing phylogenetic reconciliation methods often limited by assumptions of gene family independence and reliance on conserved synteny.

Purpose of the Study:

• To develop a scalable and robust phylogenomics reconciliation model for identifying ancient whole-genome duplications (WGDs).
• To address limitations of existing methods by avoiding synteny reliance, explicitly incorporating gene loss, and allowing flexible duplication remapping.

Main Methods:

• Developed novel algorithmic strategies for phylogenomics reconciliation, enabling efficient analysis of tens of thousands of gene trees.
• The model avoids reliance on conserved synteny and explicitly accounts for gene losses during fractionation.
• Evaluated the approach using simulations and real biological data, comparing its performance against traditional methods like LCA-mapping.

Main Results:

• The novel approach demonstrates increased robustness compared to traditional LCA-mapping, especially after gene fractionation, yielding more accurate WGD predictions.
• Gene tree reconstruction errors significantly impact WGD detection accuracy, highlighting the necessity of gene tree correction.
• The method successfully identified WGD events missed by other reconciliation techniques.

Conclusions:

• The developed phylogenomics reconciliation model offers a significant advancement in detecting ancient WGDs, particularly in the presence of extensive genomic changes.
• Accurate gene tree reconstruction is critical for reliable WGD inference, and the new method provides a more robust framework for such analyses.
• This work enhances our ability to reconstruct evolutionary histories and understand the role of WGDs in shaping genomes.