The evolutionary arch of bioenergetics from prebiotic mechanisms to the emergence of a cellular respiratory chain

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-08-10 DOI:10.1016/j.biosystems.2024.105288
Miklós Péter Kalapos , Lidia de Bari
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Abstract

This article proposes an evolutionary trajectory for the development of biological energy producing systems. Six main stages of energy producing system evolution are described, from early evolutionary pyrite-pulled mechanism through the Last Universal Common Ancestor (LUCA) to contemporary systems. We define the Last Pure Chemical Entity (LPCE) as the last completely non-enzymatic entity. LPCE could have had some life-like properties, but lacked genetic information carriers, thus showed greater instability and environmental dependence than LUCA. A double bubble model is proposed for compartmentalization and cellularization as a prerequisite to both highly efficient protein synthesis and transmembrane ion-gradient. The article finds that although LUCA predominantly functioned anaerobically, it was a non-exclusive anaerobe, and sulfur dominated metabolism preceded phosphate dominated one.

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从生物前机制到细胞呼吸链的出现,生物能的进化历程。
本文提出了生物能源生产系统的进化轨迹。文章描述了能量产生系统进化的六个主要阶段,从早期进化的黄铁矿拉动机制到最后的宇宙共同祖先(LUCA)再到当代系统。我们将最后的纯化学实体(LPCE)定义为最后的完全非酶实体。LPCE 可能具有一些类似生命的特性,但缺乏遗传信息载体,因此比 LUCA 表现出更大的不稳定性和环境依赖性。文章提出了一个双气泡模型,认为分隔和细胞化是高效蛋白质合成和跨膜离子梯度的先决条件。文章发现,虽然 LUCA 主要在厌氧条件下运作,但它并不是一种排他性厌氧菌,而且硫主导的新陈代谢先于磷主导的新陈代谢。
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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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