Author

Date of Award

5-17-2024

Document Type

Thesis

Abstract

An important problem in evolutionary biology is how to infer the evolutionary history of a set of taxa in the presence of hybridization. In this work, we present an important first step in the establishment of an algorithm for the inference of a level-1 species network under the Network Multispecies Coalescent Model using rooted triples. In particular, we define a new intertaxon dissimilarity, dRT , which can be directly computed from the topology of the rooted triples displayed on a network, and might be estimated from data. In our main result we prove that this dissimilarity is equivalent to an intertaxon splits dissimilarity, dλRT , which can be used to reconstruct a level-1 species network using the NeighborNet and Circular Network Algorithms.

Handle

http://hdl.handle.net/11122/15167

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