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平衡细胞生长的分析理论。

An analytical theory of balanced cellular growth.

机构信息

Institute for Computer Science & Department of Biology, Heinrich Heine University, 40221, Düsseldorf, Germany.

出版信息

Nat Commun. 2020 Mar 6;11(1):1226. doi: 10.1038/s41467-020-14751-w.

Abstract

The biological fitness of microbes is largely determined by the rate with which they replicate their biomass composition. Mathematical models that maximize this balanced growth rate while accounting for mass conservation, reaction kinetics, and limits on dry mass per volume are inevitably non-linear. Here, we develop a general theory for such models, termed Growth Balance Analysis (GBA), which provides explicit expressions for protein concentrations, fluxes, and growth rates. These variables are functions of the concentrations of cellular components, for which we calculate marginal fitness costs and benefits that are related to metabolic control coefficients. At maximal growth rate, the net benefits of all concentrations are equal. Based solely on physicochemical constraints, GBA unveils fundamental quantitative principles of cellular resource allocation and growth; it accurately predicts the relationship between growth rates and ribosome concentrations in E. coli and yeast and between growth rate and dry mass density in E. coli.

摘要

微生物的生物适应性在很大程度上取决于它们复制生物量组成的速度。在考虑质量守恒、反应动力学和单位体积干质量限制的情况下,使这种平衡生长速率最大化的数学模型不可避免地是非线性的。在这里,我们开发了一种这样的模型的一般理论,称为生长平衡分析(Growth Balance Analysis,GBA),它提供了蛋白质浓度、通量和生长速率的显式表达式。这些变量是细胞成分浓度的函数,我们计算了与代谢控制系数相关的细胞成分浓度的边际适应成本和收益。在最大生长速率下,所有浓度的净收益都相等。仅基于物理化学约束,GBA 揭示了细胞资源分配和生长的基本定量原则;它准确地预测了大肠杆菌和酵母中生长速率与核糖体浓度之间的关系,以及大肠杆菌中生长速率与干物质密度之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7a3/7060212/b5d242843a59/41467_2020_14751_Fig1_HTML.jpg

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