一个从具有滞后链偏向性诱变的DNA型遗传算法推导出来的微分方程。

A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis.

作者信息

Fujihara Ichiro, Furusawa Mitsuru

机构信息

College of General Education, Osaka Sangyo University, Daito-shi, Osaka 574-8530, Japan.

Chitose Laboratory Corp., Biotechnology Research Center, 2-13-3 Nogawa-honcho, Miyamae-ku, Kawasaki, Kanagawa 216-0041, Japan.

出版信息

Heliyon. 2022 Mar 26;8(3):e09155. doi: 10.1016/j.heliyon.2022.e09155. eCollection 2022 Mar.

DOI:10.1016/j.heliyon.2022.e09155

PMID:35368546

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8965971/

Abstract

Recent evidence indicated that the significant fidelity difference existed between the leading and lagging-strand. Using a 2-D DNA-type genetic algorithm (GA), we have shown that the lagging-stand-biased mutagenesis (disparity mutagenesis) has a significant advantage in the promotion of evolution, compared with the traditional parity mutagenesis model. Our aim of the present study was to deduce a differential equation which well reflected the result of simulations. The analytical solution of the differential equation obtained was in good agreement with the results of the simulation experiment. Comparing the results of the disparity mutagenesis with those of the parity one, the characteristics of the disparity mutagenesis were discussed in terms of relative mutation rates between the lagging and leading strands. Conditions of the extinction of a species were also discussed.

摘要

最近的证据表明，前导链和后随链之间存在显著的保真度差异。使用二维DNA型遗传算法（GA），我们已经表明，与传统的均等诱变模型相比，后随链偏向诱变（差异诱变）在促进进化方面具有显著优势。我们本研究的目的是推导一个能很好反映模拟结果的微分方程。所得到的微分方程的解析解与模拟实验结果吻合良好。将差异诱变的结果与均等诱变的结果进行比较，从后随链和前导链之间的相对突变率方面讨论了差异诱变的特征。还讨论了物种灭绝的条件。