Department of Biophysics, Faculty of Physics, M.V.Lomonosov Moscow State University. Moscow, 119991, Russia.
Department of Mathematics, Faculty of Physics, M.V.Lomonosov Moscow State University. Moscow, 119991, Russia.
Biosystems. 2020 Jun;193-194:104120. doi: 10.1016/j.biosystems.2020.104120. Epub 2020 Feb 22.
A new approach has been proposed and developed: the selection of optimal variants in the evolutionary mutation flow is considered as an analogue of a percolation filter. Interaction of mutations in a series of generations and random processes of drift determine the collective behavior of nodes (individuals - carriers and converters of mutations) and bonds (mutations) in the space of percolation lattice. It is shown that the choice of the development trajectory at the population level depends on the spectrum of supporting and prohibiting mutations under the influence of conjugate deterministic and random factors. From the point of view of the fluctuation-bifurcation process, new concepts of the lower and upper thresholds of the percolation selection grid are defined in the hierarchical structure of speciation. The upper threshold determines the state of self-organized criticality, which, when overcome, leads to irreversible self-organization processes in the population caused by the accumulation of mutations.
将进化突变流中的最优变体选择视为渗滤过滤器的类似物。在一系列世代中的突变相互作用和随机漂移过程决定了节点（个体 - 突变的携带者和转换器）和键（突变）在渗滤晶格空间中的集体行为。结果表明，在群体水平上的发展轨迹的选择取决于共轭确定性和随机因素影响下的支持和禁止突变的谱。从波动分叉过程的角度来看，在物种形成的层次结构中定义了渗滤选择网格的下限和上限的新概念。上限阈值确定了自组织临界状态的状态，当超过上限阈值时，会导致由于突变积累而导致种群中不可逆的自组织过程。
