Predicting the Evolution of Gene $ura3$ in the Yeast Saccharomyces Cerevisiae

TL;DR

This paper develops a new mutation matrix based on experimental data for the ura3 gene in yeast, enabling more accurate predictions of its DNA evolution over generations.

Contribution

It introduces a mutation matrix derived from recent experimental mutation rates, improving DNA evolution modeling for the ura3 gene in yeast.

Findings

New mutation matrix tailored to ura3 gene

Predicted evolution of purine/pyrimidine rates

Simulated nucleotide evolution dynamics

Abstract

Since the late `60s, various genome evolutionary models have been proposed to predict the evolution of a DNA sequence as the generations pass. Most of these models are based on nucleotides evolution, so they use a mutation matrix of size 4x4. They encompass for instance the well-known models of Jukes and Cantor, Kimura, and Tamura. By essence, all of these models relate the evolution of DNA sequences to the computation of the successive powers of a mutation matrix. To make this computation possible, particular forms for the mutation matrix are assumed, which are not compatible with mutation rates that have been recently obtained experimentally on gene ura3 of the Yeast Saccharomyces cerevisiae. Using this experimental study, authors of this paper have deduced a simple mutation matrice, compute the future evolution of the rate purine/pyrimidine for ura3, investigate the particular behavior of cytosines and thymines compared to purines, and simulate the evolution of each nucleotide.