Identifiability of Level-1 Species Networks from Gene Tree Quartets.
Elizabeth S Allman1, Hector Baños2, Marina Garrote-Lopez3
1Department of Mathematics and Statistics, University of Alaska, Fairbanks, AK, USA. e.allman@alaska.edu.
Bulletin of Mathematical Biology
|July 25, 2024
Summary
Phylogenetic networks, which model complex gene flow, are challenging to infer. This study reveals limitations in identifying network features from gene data, crucial for accurate evolutionary relationship modeling.
Area of Science:
- Evolutionary biology
- Phylogenetics
- Computational biology
Background:
- Complex evolutionary histories involving hybridization and lateral gene transfer are better represented by phylogenetic networks than traditional trees.
- Inferring these phylogenetic networks remains a significant challenge in evolutionary studies.
Purpose of the Study:
- To investigate the identifiability of level-1 phylogenetic network features using quartet concordance factors under the network multispecies coalescent model.
- To identify limitations in current methods for inferring evolutionary relationships from gene data.
Main Methods:
- Utilizing quartet concordance factors, which represent probabilities of 4-taxon relationships in gene trees.
- Analyzing the network multispecies coalescent model to assess identifiability of topological and numerical network parameters.
Main Results:
- Identified specific failures in network identifiability, particularly concerning features involving 3-cycles.
- Demonstrated that not all topological and numerical parameters of level-1 networks are uniquely determinable from concordance factors.
Conclusions:
- Failures in identifiability, especially with 3-cycles, pose challenges for statistically consistent phylogenetic network inference.
- Addressing these identifiability issues is essential for developing robust methods to reconstruct complex evolutionary histories.
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