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arXiv 2308.04776q-bio.MNcond-mat.stat-mech
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大肠杆菌代谢与生长中的普适标度关系与临界性

Universal scaling relation and criticality in metabolism and growth of Escherichia coli

Shaohua Guan, Zhichao Zhang, Zihan Zhang, Hualin Shi

AI总结:

本研究采用最大熵方法分析大肠杆菌代谢网络,发现不同营养环境和模型中存在普适标度关系,并证实其代谢运行在接近最大费雪信息的临界状态,在生长与适应间取得折中作为波动环境下的生存策略。

摘要:

代谢网络在调节细菌代谢和生长中起着至关重要的作用,但它受到内在分子随机性的影响。先前的研究利用通量平衡分析和最大熵方法来预测代谢通量和生长速率,然而支配细菌代谢和生长的底层原理,特别是临界性假说,仍不清楚。在本研究中,我们采用最大熵方法来研究大肠杆菌各种基于约束的代谢网络中的普适性。我们的发现揭示了在不同的营养环境和代谢网络模型中存在普适标度关系,这与物理学中观察到的普适性相似。通过分析单细胞数据,我们证实大肠杆菌的代谢运行在接近最大费雪信息的状态,这是临界性的一个标志。这种临界状态提供了高敏感性和长程相关性等功能优势。此外,我们证明在临界状态下运行的代谢系统在生长和适应之间采取了折中方案,从而作为在波动环境中的一种生存策略。

英文摘要:

The metabolic network plays a crucial role in regulating bacterial metabolism and growth, but it is subject to inherent molecular stochasticity. Previous studies have utilized flux balance analysis and the maximum entropy method to predict metabolic fluxes and growth rates, while the underlying principles governing bacterial metabolism and growth, especially the criticality hypothesis, remain unclear. In this study, we employ a maximum entropy approach to investigate the universality in various constraint-based metabolic networks of Escherichia coli. Our findings reveal the existence of universal scaling relations across different nutritional environments and metabolic network models, similar to the universality observed in physics. By analyzing single-cell data, we confirm that metabolism of Escherichia coli operates close to the state with maximum Fisher information, which serves as a signature of criticality. This critical state provides functional advantages such as high sensitivity and long-range correlation. Moreover, we demonstrate that a metabolic system operating at criticality takes a compromise solution between growth and adaptation, thereby serving as a survival strategy in fluctuating environments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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