Thermodynamic ontogeny: The emergence of persistence and complexity in pre-genetic chemical systems

IF 2.1 4区 生物学 Q2 BIOLOGY
Biosystems Pub Date : 2026-04-01 Epub Date: 2026-02-05 DOI:10.1016/j.biosystems.2026.105717
Albert M. Magro
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引用次数: 0

Abstract

Understanding how thermodynamic principles drive the emergence of organized chemical systems from abiotic geochemistry represents a central challenge in prebiotic evolution. We develop a quantitative framework for systems removed from equilibrium, establishing formulations for organizational complexity (C) and persistence (P). Complexity, the volumetric rate of free energy dissipation maintaining non-equilibrium organization, scales with substrate gradients and kinetic accessibility. Persistence is the system’s capacity to export internally generated entropy across membrane boundaries, determined by geometric constraints and transport impedances. Bejan’s Constructal Law provides the optimization principle by which protocell geometry morphs to achieve this balance, providing a deterministic basis for protocell dimensions and molecular architecture. For mineral-catalyzed chemistry at hydrothermal vents (〈Ea〉≈ 50 kJ/mol, T ≈ 338 K), the framework predicts optimal radius r ≈0.56μm for volume-distributed chemistry (n = 3), matching observed dimensions of experimental protocells and minimal cells. Conversely, surface-limited chemistry (n = 2) predicts mechanically unstable configurations, establishing the internalization of metabolism as a thermodynamic necessity. Geological subsidence at polar regions provides deterministic forcing driving protocell populations toward increasing complexity over multi-million-year timescales. The transition from monomers to polymers is a necessary strategy to mitigate osmotic stress during subsidence, effectively responding to a baric forcing of complexity. The framework generates falsifiable predictions where ln(r) ∝ 1/T, with a slope determined by activation energy and dimensionality. The framework transforms a prebiotic system from a statistical improbability into a predictable physical outcome, establishing the foundations for life as a thermodynamic necessity operating under early Earth constraints.
热力学本体论:遗传前化学系统中持久性和复杂性的出现。
理解热力学原理如何推动非生物地球化学中有组织的化学系统的出现,是益生元进化的一个核心挑战。我们为脱离平衡的系统开发了一个定量框架,建立了组织复杂性(C)和持久性(P)的公式。复杂性,维持非平衡组织的自由能量耗散的体积率,基底梯度的尺度和动力学可及性。持久性是系统输出内部产生的熵跨越膜边界的能力,由几何约束和传输阻抗决定。Bejan的构造定律提供了优化原理,通过该原理,原始细胞的几何形态可以实现这种平衡,为原始细胞的尺寸和分子结构提供了确定性的基础。对于热液喷口矿物催化化学(< Ea >≈50 kJ/mol, T≈338 K),该框架预测体积分布化学(n = 3)的最佳半径r≈0.56μm,与实验原始细胞和最小细胞的观察尺寸相匹配。相反,表面限制化学(n = 2)预测了机械上不稳定的结构,建立了代谢内在化作为热力学的必要性。极地地区的地质沉降提供了确定性的强迫,驱使原始细胞种群在数百万年的时间尺度上变得越来越复杂。从单体到聚合物的过渡是缓解下沉过程中渗透应力的必要策略,可以有效地应对复杂的压力。该框架生成可证伪的预测,其中ln(r)∝1/T,其斜率由活化能和维度决定。该框架将益生元系统从统计上的不可能性转变为可预测的物理结果,为生命在早期地球约束下运行的热力学必要性奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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