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模拟原始细胞中的觅食动力学与熵产生

Foraging Dynamics and Entropy Production in a Simulated Proto-Cell.

作者信息

De Bari Benjamin, Kondepudi Dilip K, Dixon James A

机构信息

Department of Psychology, Lehigh University, Bethlehem, PA 18015, USA.

Center for the Ecological Study of Perception and Action, University of Connecticut, Storrs, CT 06269, USA.

出版信息

Entropy (Basel). 2022 Dec 8;24(12):1793. doi: 10.3390/e24121793.

DOI:10.3390/e24121793
PMID:36554198
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9778031/
Abstract

All organisms depend on a supply of energetic resources to power behavior and the irreversible entropy-producing processes that sustain them. Dissipative structure theory has often been a source of inspiration for better understanding the thermodynamics of biology, yet real organisms are inordinately more complex than most laboratory systems. Here we report on a simulated chemical dissipative structure that operates as a proto cell. The simulated swimmer moves through a 1D environment collecting resources that drive a nonlinear reaction network interior to the swimmer. The model minimally represents properties of a simple organism including rudimentary foraging and chemotaxis and an analog of a metabolism in the nonlinear reaction network. We evaluated how dynamical stability of the foraging dynamics (i.e., swimming and chemotaxis) relates to the rate of entropy production. Results suggested a relationship between dynamical steady states and entropy production that was tuned by the relative coordination of foraging and metabolic processes. Results include evidence in support of and contradicting one formulation of a maximum entropy production principle. We discuss the status of this principle and its relevance to biology.

摘要

所有生物体都依赖于能量资源的供应,以驱动行为以及维持它们的产生不可逆熵的过程。耗散结构理论常常为更好地理解生物学的热力学提供灵感来源,然而真实的生物体比大多数实验室系统要复杂得多。在此,我们报告一种作为原始细胞运行的模拟化学耗散结构。该模拟游动体在一维环境中移动,收集驱动游动体内部非线性反应网络的资源。该模型最小限度地体现了简单生物体的特性,包括基本的觅食和趋化作用,以及非线性反应网络中的代谢类似物。我们评估了觅食动力学(即游动和趋化作用)的动态稳定性与熵产生速率之间的关系。结果表明,动态稳态与熵产生之间存在一种关系,这种关系由觅食和代谢过程的相对协调性所调节。结果包括支持和反驳最大熵产生原理的一种表述的证据。我们讨论了该原理的现状及其与生物学的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e11/9778031/fb5f7acad78b/entropy-24-01793-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e11/9778031/fb5f7acad78b/entropy-24-01793-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e11/9778031/fb5f7acad78b/entropy-24-01793-g002.jpg

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