Maximum Likelihood Jukes-Cantor Triplets: Analytic Solutions
Benny Chor, Michael D. Hendy, Sagi Snir
Abstract
Complex systems of polynomial equations have to be set up and solved algebraically in order to obtain analytic solutions for maximum likelihood on phylogenetic trees. This has restricted the types of systems previously resolved to the simplest models - three and four taxa under a molecular clock, with just two state characters. In this work we give, for the first time, analytic solutions for a family of trees with four state characters, like normal DNA or RNA. The model of substitution we use is the Jukes-Cantor model, and the trees are on three taxa under molecular clock, namely rooted triplets. We employ a number of approaches and tools to solve this system: Spectral methods (Hadamard conjugation), a new representation of variables (the path-set spectrum), and algebraic geometry tools (the resultant of two polynomials). All these, combined with heavy application of computer algebra packages (Maple), let us derive the desired solution.
Create a lesson
Related papers
Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an OpenEnded Substrate
Sanyam Jain, Felix Simon Reimers, Stefano Nichele
Optimum foraging area in a three-trophic food chain
Lucas Massoni, Rafael Menezes, Marcus A. M. de Aguiar et al.
Graph construction in QUBO-based recursive phylogenetic tree reconstruction
Yoshiki Kanazawa, Ashish Joshi, Takahiko Koyama
Anomalous First Passage in Evolution: Edge-KPZ Theory
Tetsuhiro S. Hatakeyama
Navigating the Delicate Geometry of Beehive Mite Infestation with Optimal Control
Julia Saff, Bhargav R. Karamched
Evolution of Fast and Slow Life Histories in Resource-Constrained Populations with Mass-Mortality Events
Éloi Martin, David Steinsaltz