Kondev Jane, Kirschner Marc, Garcia Hernan G, Salmon Gabriel L, Phillips Rob
Department of Physics, Brandeis University, Waltham, MA, U.S.A.
Department of Systems Biology, Harvard University, Boston, MA, U.S.A.
ArXiv. 2025 Jun 4:arXiv:2506.04104v1.
Many biological processes can be thought of as the result of an underlying dynamics in which the system repeatedly undergoes distinct and abortive trajectories with the dynamical process only ending when some specific process, purpose, structure or function is achieved. A classic example is the way in which microtubules attach to kinetochores as a prerequisite for chromosome segregation and cell division. In this example, the dynamics is characterized by apparently futile time histories in which microtubules repeatedly grow and shrink without chromosomal attachment. We hypothesize that for biological processes for which it is not the initial conditions that matter, but rather the final state, this kind of exploratory dynamics is biology's unique and necessary solution to achieving these functions with high fidelity. This kind of cause and effect relationship can be contrasted to examples from physics and chemistry where the initial conditions determine the outcome. In this paper, we examine the similarities of many biological processes that depend upon random trajectories starting from the initial state and the selection of subsets of these trajectories to achieve some desired functional final state. We begin by reviewing the long history of the principles of dynamics, first in the context of physics, and then in the context of the study of life. These ideas are then stacked up against the broad categories of biological phenomenology that exhibit exploratory dynamics. We then build on earlier work by making a quantitative examination of a succession of increasingly sophisticated models for exploratory dynamics, all of which share the common feature of being a series of repeated trials that ultimately end in a "winning" trajectory. We also explore the ways in which microscopic parameters can be tuned to alter exploratory dynamics as well as the energetic burden of performing such processes. It is a great privilege to take part in this special volume dedicated to the life and work of Prof. Erich Sackmann (1934-2024). For one of us (RP), at the time of making a switch from traditional condensed matter physics to a life engaged in the study of life, he went to a meeting near Munich which completely opened his eyes to the ways in which the approach of physics could be brought to bear on the study of the living. Sackmann's work was an inspiring presence at that meeting. One of the hallmarks of his work was a principled approach to dissecting biological processes over a range of scales and phenomena. One common thread to much of his work was that it acknowledged the dynamical character of living organisms. The present paper attempts to follow in the tradition of Sackmann's studies of dynamics by suggesting a new way of looking at many biological processes all through the unifying perspective of what we will call exploratory dynamics.
许多生物过程可被视为一种潜在动力学的结果,在这种动力学中,系统反复经历不同的、未成功的轨迹,只有当某些特定过程、目的、结构或功能达成时,动力学过程才会结束。一个经典的例子是微管附着在动粒上作为染色体分离和细胞分裂的前提条件的方式。在这个例子中,动力学的特征是明显无用的时间历程,即微管反复生长和收缩而不与染色体附着。我们假设,对于那些重要的不是初始条件而是最终状态的生物过程,这种探索性动力学是生物学以高保真度实现这些功能的独特且必要的解决方案。这种因果关系可以与物理和化学中的例子形成对比,在物理和化学中,初始条件决定结果。在本文中,我们研究了许多生物过程的相似性,这些过程依赖于从初始状态开始的随机轨迹以及对这些轨迹子集的选择,以实现某种期望的功能最终状态。我们首先回顾动力学原理的悠久历史,先是在物理学背景下,然后是在生命研究背景下。然后将这些观点与表现出探索性动力学的广泛生物现象学类别进行对比。接着,我们在早期工作的基础上,对一系列越来越复杂的探索性动力学模型进行定量研究,所有这些模型的共同特征是一系列重复试验,最终以“获胜”轨迹结束。我们还探讨了微观参数可以如何调整以改变探索性动力学以及执行此类过程的能量负担。非常荣幸能够参与这本献给埃里希·萨克曼教授(1934 - 2024)的生平与工作的特刊。对于我们其中一人(RP)来说,在从传统凝聚态物理转向从事生命研究时,他参加了慕尼黑附近的一次会议,这次会议让他完全见识到了物理学方法应用于生命研究的方式。萨克曼的工作在那次会议上极具启发性。他工作的一个标志是一种有原则的方法,用于剖析一系列尺度和现象下的生物过程。他许多工作的一个共同主线是承认生物体的动力学特征。本文试图遵循萨克曼对动力学研究的传统,通过我们将称之为探索性动力学的统一视角,提出一种看待许多生物过程的新方法。