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Updated: Apr 4, 2026

A Simple Protocol for Extracting Hemocytes from Wild Caterpillars
Published on: November 15, 2012
There are no caterpillars in a wicked forest
James H Degnan1, John A Rhodes2
1Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA.
Species trees show population divergence, while gene trees track gene ancestry. Anomalous gene trees complicate species tree inference, but caterpillar gene trees are proven not anomalous.
Area of Science:
- Evolutionary biology
- Computational phylogenetics
- Population genetics
Background:
- Species trees depict historical population divergences, whereas gene trees illustrate gene copy ancestry.
- Rapid speciation can lead to gene trees incongruent with species trees, a phenomenon known as gene tree-species tree discordance.
- Understanding the conditions that generate anomalous gene trees is crucial for accurate phylogenetic inference.
Purpose of the Study:
- To establish a general constraint on gene tree topologies that cannot be anomalous.
- To investigate the properties of gene trees under the multispecies coalescent model, particularly in scenarios of rapid speciation.
Main Methods:
- Development of a novel combinatorial object termed 'population history'.
- Utilizing population histories to analyze coalescent events within ancestral populations.
- Mathematical proof establishing a constraint on gene tree topologies.
Main Results:
- Demonstration that gene trees with caterpillar topologies are never anomalous.
- The introduced population history object provides a framework for analyzing gene tree properties.
- The findings apply to species trees and gene trees of any size.
Conclusions:
- Gene trees with caterpillar topologies offer a reliable signal for species tree reconstruction, even in the presence of rapid speciation.
- The study provides a theoretical foundation for understanding gene tree-species tree discordance.
- This work contributes to the development of more robust methods for inferring species trees from molecular data.
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