Comparing the topology of phylogenetic network generators

Area of Science:

• Evolutionary Biology
• Bioinformatics
• Computational Biology

Background:

• Phylogenetic networks model complex evolutionary histories, including reticulate events like horizontal gene transfer and recombination.
• Networks provide a more comprehensive evolutionary representation than traditional phylogenetic trees.
• Stochastic network generators are crucial for validating phylogenetic reconstruction and as priors in Bayesian analyses.

Purpose of the Study:

• To address the lack of comparative analysis for existing phylogenetic network generators.
• To profile and compare the topological characteristics of networks produced by various generators.

Main Methods:

• Comparison of multiple phylogenetic network generators.
• Profiling topological summary statistics of generated networks.
• Analysis of topological profiles based on the number of reticulations.

Main Results:

• Identification of distinct topological profiles among different network generators.
• Quantification of how reticulation number influences network topology.
• Establishment of a comparative framework for evaluating network generation methods.

Conclusions:

• The study provides a much-needed comparison of phylogenetic network generators.
• Understanding generator-specific topological properties is essential for accurate evolutionary inference.
• This work facilitates the selection of appropriate generators for specific evolutionary research questions.