An irreversible thermodynamic model of prebiological dissipative molecular structures inside vacuoles at the surface of the Archean Ocean.

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2025-01-01 Epub Date: 2024-12-20 DOI:10.1016/j.biosystems.2024.105379
Jorge A Montemayor-Aldrete, José Manuel Nieto-Villar, Carlos J Villagómez, Rafael F Márquez-Caballé
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Abstract

A prebiotic model, based in the framework of thermodynamic efficiency loss from small dissipative eukaryote organisms is developed to describe the maximum possible concentration of solar power to be dissipated on topological circular molecules structures encapsulated in lipid-walled vacuoles, which floated in the Archean oceans. By considering previously, the analysis of 71 species examined by covering 18 orders of mass magnitude from the Megapteranovaeangliae to Saccharomyces cerevisiae suggest that in molecular structures of smaller masses than any living being known nowadays, the power dissipation must be directly proportional to the power of the photons of solar origin that impinge them to give rise to the formation of more complex self-assembled molecular structures at the prebiotic stage by a quantum mechanics model of resonant photon wavelength excitation. The analysis of 12 circular molecules (encapsulated in lipid-walled vacuoles) relevant to the evolution of life on planet Earth such as the five nucleobases, and some aromatic molecules as pyrimidine, porphyrin, chlorin, coumarin, xanthine, etc., were carried out. Considering one vacuole of each type of molecule per square meter of the ocean's surface of planet Earth (1.8∗1015 vacuoles), their dissipative operation would require only 10-10 times the matter used by the biomass currently existing on Earth. Relevant numbers (1020-1021) for the annual dissipative cycles corresponding to high energy photo chemical events, which in principle allow the assembling of more complex polymers, were obtained. The previous figures are compatible with some results obtained by followers of the primordial soup theory where under certain suppositions about the Archean chemical kinetical changes on the precursors of RNA and DNA try to justify the formation rate of RNA and DNA components and the emergence of life within a 10-million-year window, 3.5 billion years ago. The physical foundation perspective and the simplicity of the proposed approach suggests that it can serve as a possible template for both, the development of new kind of experiments, and for prebiotic theories that address self-organization occurring inside such vacuoles. Our model provides a new way to conceptualize the self-production of simple cyclic dissipative molecular structures in the Archean period of planet Earth. © 2017 ElsevierInc.Allrightsreserved.

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太古宙海洋表面液泡内小圆形分子耗散结构的不可逆热力学模型。
一个基于小型耗散真核生物热力学效率损失框架的益生元模型[1-3]被开发出来,用于描述在太古代海洋中漂浮的脂壁液泡封装的拓扑圆形分子结构上耗散的最大可能太阳能浓度。考虑到之前对71个物种的分析,涵盖了从Megapteranovaeangliae到酿酒酵母(Saccharomyces cerevisiae)的18个质量数量级,表明在比当今已知的任何生物质量都小的分子结构中,根据共振光子波长激发的量子力学模型,能量耗散必须与撞击它们的太阳光子的能量成正比,才能在生命前期形成更复杂的自组装分子结构。分析了与地球生命进化有关的12种圆形分子(封装在脂壁液泡中),如5种核碱基,以及一些芳香分子,如嘧啶、卟啉、氯、香豆素、黄嘌呤等。考虑到地球海洋表面每平方米每一种分子的一个液泡(液泡),它们的耗散操作只需要地球上现有生物量消耗的物质的两倍。获得了与高能光化学事件相对应的年耗散周期的相关数字,原则上允许组装更复杂的聚合物。先前的数字与原始汤理论的追随者(Miller和Lazcano)[4-5]的一些结果是一致的,他们在对RNA和DNA前体的太古代化学动力学变化的某些假设下,试图证明RNA和DNA组分的形成速度和生命的出现是在1000万年的窗口,即35亿年前。物理基础的观点和所提出的方法的简单性表明,它可以作为一种可能的模板,用于新型实验的发展,以及解决这种液泡内部发生的自组织的益生元理论。我们的模型为地球太古代简单循环耗散分子结构的自生提供了一种新的概念。©2017 elsevierinc .版权所有
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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.
期刊最新文献
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