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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Anomalous unrooted gene trees.
1Department of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, New Zealand. j.degnan@math.canterbury.ac.nz
Gene tree topologies can be misleading when inferring species trees, especially with seven or more taxa. This study characterizes anomalous unrooted gene trees (AUGTs) and their implications for phylogenetic inference.
Area of Science:
- Phylogenetics
- Computational Biology
- Evolutionary Genetics
Background:
- Gene tree topologies are often inferred from molecular sequences, but their direction in time can be ambiguous.
- Ambiguity arises from reversible mutation models, lack of outgroups, and absence of molecular clocks.
- The multispecies coalescent model is a key framework for understanding gene tree-species tree relationships.
Purpose of the Study:
- To investigate the probabilities of unrooted gene-tree topologies under the multispecies coalescent model.
- To identify conditions under which gene trees may not reflect the species tree topology.
- To characterize species trees prone to anomalous unrooted gene trees (AUGTs).
Main Methods:
- Probabilistic analysis of unrooted gene-tree topologies within the multispecies coalescent framework.
- Characterization of species trees exhibiting AUGTs for specific numbers of taxa (five and six).
- Exploration of branch length patterns associated with AUGTs and rooted anomalous gene trees.
Main Results:
- For species trees with seven or more taxa, specific branch lengths can render certain unrooted gene-tree topologies more probable than the species tree's topology.
- Species trees with five and six taxa that exhibit AUGTs are identified and characterized.
- Patterns of branch lengths contributing to anomalous gene trees (both rooted and unrooted) are elucidated.
Conclusions:
- The presence of AUGTs highlights challenges in inferring accurate species trees from gene trees.
- Understanding AUGTs is crucial for interpreting gene tree discordance in phylogenetic studies.
- These findings can inform the design of simulation studies for robust species tree inference.

