Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
School of Physics & Astronomy, Cardiff University, 4 The Parade, Cardiff, United Kingdom.
PLoS One. 2021 May 13;16(5):e0251568. doi: 10.1371/journal.pone.0251568. eCollection 2021.
We present a model of the evolution of control systems in a genome under environmental constraints. The model conceptually follows the Jacob and Monod model of gene control. Genes contain control elements which respond to the internal state of the cell as well as the environment to control expression of a coding region. Control and coding regions evolve to maximize a fitness function between expressed coding sequences and the environment. The model was run 118 times to an average of 1.4∙106 'generations' each with a range of starting parameters probed the conditions under which genomes evolved a 'default style' of control. Unexpectedly, the control logic that evolved was not significantly correlated to the complexity of the environment. Genetic logic was strongly correlated with genome complexity and with the fraction of genes active in the cell at any one time. More complex genomes correlated with the evolution of genetic controls in which genes were active ('default on'), and a low fraction of genes being expressed correlated with a genetic logic in which genes were biased to being inactive unless positively activated ('default off' logic). We discuss how this might relate to the evolution of the complex eukaryotic genome, which operates in a 'default off' mode.
我们提出了一个在环境约束下基因组控制系统进化的模型。该模型在概念上遵循了雅各布和莫诺德的基因控制模型。基因包含控制元件,这些元件响应细胞的内部状态和环境,以控制编码区域的表达。控制和编码区域的进化是为了使表达的编码序列和环境之间的适应度函数最大化。该模型运行了 118 次,平均每个模型运行 1.4×106 个“世代”,并探测了不同的起始参数范围,以研究在什么条件下基因组进化出一种“默认风格”的控制。出乎意料的是,进化出的控制逻辑与环境的复杂性没有显著相关性。遗传逻辑与基因组的复杂性以及细胞中任何时候活跃的基因比例强烈相关。更复杂的基因组与基因活跃的遗传控制的进化相关(“默认开启”),而表达的基因比例较低则与遗传逻辑相关,其中基因除非被积极激活,否则倾向于不活跃(“默认关闭”逻辑)。我们讨论了这如何与复杂真核生物基因组的进化相关,该基因组以“默认关闭”模式运行。