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细菌细胞的最佳密度。

Optimal density of bacterial cells.

机构信息

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

Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.

出版信息

PLoS Comput Biol. 2023 Jun 12;19(6):e1011177. doi: 10.1371/journal.pcbi.1011177. eCollection 2023 Jun.

DOI:10.1371/journal.pcbi.1011177
PMID:37307285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10289677/
Abstract

A substantial fraction of the bacterial cytosol is occupied by catalysts and their substrates. While a higher volume density of catalysts and substrates might boost biochemical fluxes, the resulting molecular crowding can slow down diffusion, perturb the reactions' Gibbs free energies, and reduce the catalytic efficiency of proteins. Due to these tradeoffs, dry mass density likely possesses an optimum that facilitates maximal cellular growth and that is interdependent on the cytosolic molecule size distribution. Here, we analyze the balanced growth of a model cell, accounting systematically for crowding effects on reaction kinetics. Its optimal cytosolic volume occupancy depends on the nutrient-dependent resource allocation into large ribosomal vs. small metabolic macromolecules, reflecting a tradeoff between the saturation of metabolic enzymes, favoring larger occupancies with higher encounter rates, and the inhibition of the ribosomes, favoring lower occupancies with unhindered diffusion of tRNAs. Our predictions across growth rates are quantitatively consistent with the experimentally observed reduction in volume occupancy on rich media compared to minimal media in E. coli. Strong deviations from optimal cytosolic occupancy only lead to minute reductions in growth rate, which are nevertheless evolutionarily relevant due to large bacterial population sizes. In sum, cytosolic density variation in bacterial cells appears to be consistent with an optimality principle of cellular efficiency.

摘要

大量的细菌细胞质被催化剂及其底物占据。虽然更高的催化剂和底物体积密度可能会提高生化通量,但由此产生的分子拥挤会减缓扩散,干扰反应的吉布斯自由能,并降低蛋白质的催化效率。由于这些权衡,干物质密度可能具有一个最佳值,有利于最大的细胞生长,并且与细胞质分子大小分布相互依赖。在这里,我们分析了模型细胞的平衡生长,系统地考虑了拥挤效应对反应动力学的影响。其最佳的细胞质体积占有率取决于依赖营养的资源分配到大核糖体与小代谢大分子之间,反映了代谢酶的饱和与核糖体抑制之间的权衡,有利于较高的占有率和较高的相遇率,以及有利于 tRNA 无阻碍扩散的较低占有率。我们对生长速率的预测与大肠杆菌在丰富培养基中比在最小培养基中观察到的体积占有率降低的实验结果在数量上是一致的。只有强烈偏离最佳细胞质占有率才会导致生长速率的微小降低,但由于细菌种群数量庞大,这在进化上是相关的。总之,细菌细胞中细胞质密度的变化似乎与细胞效率的最优原则一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/585da2ef2558/pcbi.1011177.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/ecd708a4dcc5/pcbi.1011177.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/9a017dffb62c/pcbi.1011177.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/c3d30c89dc3c/pcbi.1011177.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/1f267d67dd03/pcbi.1011177.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/95dd2edd4083/pcbi.1011177.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/585da2ef2558/pcbi.1011177.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/ecd708a4dcc5/pcbi.1011177.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/9a017dffb62c/pcbi.1011177.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/c3d30c89dc3c/pcbi.1011177.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/1f267d67dd03/pcbi.1011177.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/95dd2edd4083/pcbi.1011177.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8663/10289677/585da2ef2558/pcbi.1011177.g006.jpg

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The protein translation machinery is expressed for maximal efficiency in Escherichia coli.
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Nat Commun. 2020 Oct 16;11(1):5260. doi: 10.1038/s41467-020-18948-x.
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An analytical theory of balanced cellular growth.平衡细胞生长的分析理论。
Nat Commun. 2020 Mar 6;11(1):1226. doi: 10.1038/s41467-020-14751-w.
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SciPy 1.0: fundamental algorithms for scientific computing in Python.SciPy 1.0:Python 中的科学计算基础算法。
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