Predicting the Evolution of two Genes in the Yeast Saccharomyces Cerevisiae
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- 作者：Jacques M. Bahi ; Christophe Guyeux ; Antoine Perasso
- 关键词：genome evolutionary models ; stochastic processes ; nucleotides mutations
- 刊名：Procedia Computer Science
- 出版年：2012
- 出版时间：2012
- 年：2012
- 卷：11
- 期：Complete
- 页码：4-16
- 全文大小：192 K
文摘
Since the late ¡®60s, various genome evolutionary models have been proposed to predict the evolution of a DNA sequence as the generations pass. Essentially, two main categories of such models can be found in the literature. The first one, based on nucleotides evolution, uses a mutation matrix of size 4 ¡Á 4. It encompasses for instance the well-known models of Jukes and Cantor, Kimura, and Tamura. In the second category, exclusively studied by Bahi and Michel, the evolution of trinucleotides is studied through a matrix of size 64 ¡Á 64. 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 mu-tation matrix are assumed, which are not compatible with mutation rates that have been recently obtained experimentally on two genes of the Yeast Saccharomyces cerevisiae. Using this experimental study, authors of this paper have deduced two simple mutation matrices, compute the future evolution of the rate purine/pyrimidine for two genes of this yeast, investigate the particular behavior of cytosines and thymines compared to purines, and simulate the evolution of each nucleotide for the two genes under interest.