Schöniger M, Hofacker G L, Borstnik B
Theoretische Chemie, Technische Universität München, Garching, W. Germany.
J Theor Biol. 1990 Apr 5;143(3):287-306. doi: 10.1016/s0022-5193(05)80031-1.
A stochastic matrix of nucleotide mutation probabilities is derived by counting differences and identities in alignments of native actin genes, with the aim of obtaining a more reliable data base for regular modes of molecular evolution. The evolution of DNA sequences is thereby considered as a Markov process consisting of events (point mutations) characterized by a stochastic matrix for codon-codon interchanges. The genetic distance is set to 1 PAM (percentage of accepted point mutations). The results can be reproduced by Monte Carlo simulations which are subjected to selective constraints. The latter are observed as nonrandom codon usage and ratios of silent to recognizable point mutations. Specific patterns within the matrix of mutation probabilities attest to preferences of natural selection in the evolution of a specific protein.
通过计算天然肌动蛋白基因比对中的差异和一致性，得出核苷酸突变概率的随机矩阵，目的是获得更可靠的分子进化常规模式数据库。由此，DNA序列的进化被视为一个马尔可夫过程，该过程由以密码子 - 密码子互换的随机矩阵为特征的事件（点突变）组成。遗传距离设定为1个PAM（接受点突变的百分比）。结果可以通过受选择约束的蒙特卡罗模拟来重现。后者表现为非随机密码子使用以及沉默点突变与可识别点突变的比率。突变概率矩阵中的特定模式证明了自然选择在特定蛋白质进化中的偏好。
