2017/02/08 by Jacques M. Bahi, Christophe Guyeux, Bahi, Jacques M. +3
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Fungal and yeast genetics research #Genomics and Chromatin Dynamics #Populations and Evolution (q-bio.PE) #RNA and protein synthesis mechanisms #q-bio.PE
paper · pdf · doi:10.48550/arxiv.1702.02879
Published in Procedia Computer Science. arXiv admin note: substantial text overlap with arXiv:1608.06107
arxiv created 2017/02/08 · openalex publication_date 2017/02/08 · arxiv updated 2017/02/10 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
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.