Scott Adam D, King Dawn M, Ordway Stephen W, Bahar Sonya
Department of Physics and Astronomy and Center for Neurodynamics, University of Missouri at St. Louis, One University Blvd., St. Louis, Missouri 63121, USA.
Chaos. 2022 Dec;32(12):122101. doi: 10.1063/5.0124274.
Sharp changes in state, such as transitions from survival to extinction, are hallmarks of evolutionary dynamics in biological systems. These transitions can be explored using the techniques of statistical physics and the physics of nonlinear and complex systems. For example, a survival-to-extinction transition can be characterized as a non-equilibrium phase transition to an absorbing state. Here, we review the literature on phase transitions in evolutionary dynamics. We discuss directed percolation transitions in cellular automata and evolutionary models, and models that diverge from the directed percolation universality class. We explore in detail an example of an absorbing phase transition in an agent-based model of evolutionary dynamics, including previously unpublished data demonstrating similarity to, but also divergence from, directed percolation, as well as evidence for phase transition behavior at multiple levels of the model system's evolutionary structure. We discuss phase transition models of the error catastrophe in RNA virus dynamics and phase transition models for transition from chemistry to biochemistry, i.e., the origin of life. We conclude with a review of phase transition dynamics in models of natural selection, discuss the possible role of phase transitions in unraveling fundamental unresolved questions regarding multilevel selection and the major evolutionary transitions, and assess the future outlook for phase transitions in the investigation of evolutionary dynamics.
状态的急剧变化,例如从生存到灭绝的转变,是生物系统进化动力学的标志。这些转变可以使用统计物理学以及非线性和复杂系统物理学的技术来探索。例如,从生存到灭绝的转变可以被表征为向吸收态的非平衡相变。在此,我们回顾关于进化动力学中相变的文献。我们讨论细胞自动机和进化模型中的定向渗流转变,以及偏离定向渗流普适类的模型。我们详细探讨一个基于主体的进化动力学模型中吸收相变的例子,包括以前未发表的数据,这些数据表明该模型与定向渗流相似但也存在差异,以及在模型系统进化结构的多个层面上存在相变行为的证据。我们讨论RNA病毒动力学中错误灾难的相变模型以及从化学到生物化学转变(即生命起源)的相变模型。我们最后回顾自然选择模型中的相变动力学,讨论相变在解开关于多层次选择和主要进化转变的基本未解决问题方面可能发挥的作用,并评估相变在进化动力学研究中的未来前景。