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探索进化耦合假说:酶的性能提升与耗散增加相关吗?

Exploring the Evolution-Coupling Hypothesis: Do Enzymes' Performance Gains Correlate with Increased Dissipation?

作者信息

Juretić Davor

机构信息

Faculty of Science, University of Split, Ruđera Boškovića 33, 21000 Split, Croatia.

出版信息

Entropy (Basel). 2025 Mar 29;27(4):365. doi: 10.3390/e27040365.

Abstract

The research literature presents divergent opinions regarding the role of dissipation in living systems, with views ranging from it being useless to it being essential for driving life. The implications of universal thermodynamic evolution are often overlooked or considered controversial. A higher rate of entropy production indicates faster thermodynamic evolution. We calculated enzyme-associated dissipation under steady-state conditions using minimalistic models of enzyme kinetics when all microscopic rate constants are known. We found that dissipation is roughly proportional to the turnover number, and a log-log power-law relationship exists between dissipation and the catalytic efficiency of enzymes. "Perfect" specialized enzymes exhibit the highest dissipation levels and represent the pinnacle of biological evolution. The examples that we analyzed suggested two key points: (a) more evolved enzymes excel in free-energy dissipation, and (b) the proposed evolutionary trajectory from generalist to specialized enzymes should involve increased dissipation for the latter. Introducing stochastic noise in the kinetics of individual enzymes may lead to optimal performance parameters that exceed the observed values. Our findings indicate that biological evolution has opened new channels for dissipation through specialized enzymes. We also discuss the implications of our results concerning scaling laws and the seamless coupling between thermodynamic and biological evolution in living systems immersed in out-of-equilibrium environments.

摘要

关于耗散在生命系统中的作用,研究文献呈现出不同的观点,从认为其无用至极到认为其对驱动生命至关重要。普遍热力学演化的影响常常被忽视或被认为存在争议。更高的熵产生率表明热力学演化更快。当所有微观速率常数已知时,我们使用酶动力学的简约模型计算了稳态条件下与酶相关的耗散。我们发现耗散大致与周转数成正比,并且在耗散与酶的催化效率之间存在对数-对数幂律关系。“完美”的特异性酶表现出最高的耗散水平,代表了生物进化的巅峰。我们分析的例子表明了两个关键点:(a) 进化程度更高的酶在自由能耗散方面表现出色,以及 (b) 从通用酶到特异性酶的进化轨迹对于后者而言应该涉及耗散增加。在单个酶的动力学中引入随机噪声可能会导致超过观测值的最优性能参数。我们的研究结果表明,生物进化通过特异性酶开辟了新的耗散通道。我们还讨论了我们的结果对于标度律以及处于非平衡环境中的生命系统中热力学与生物进化之间无缝耦合的意义。

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