Universal scaling relation and criticality in metabolism and growth of Escherichia coli
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 prin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2024-01-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.6.013035 |
| _version_ | 1827285075946897408 |
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| author | Shaohua Guan Zhichao Zhang Zihan Zhang Hualin Shi |
| author_facet | Shaohua Guan Zhichao Zhang Zihan Zhang Hualin Shi |
| author_sort | Shaohua Guan |
| collection | DOAJ |
| description | 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, similarly to the universality observed in physics. By analyzing single-cell data, we confirm that metabolism of E. 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. |
| first_indexed | 2024-04-24T10:09:06Z |
| format | Article |
| id | doaj.art-ef0ad3009b96460680aa896e13798af2 |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:09:06Z |
| publishDate | 2024-01-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-ef0ad3009b96460680aa896e13798af22024-04-12T17:37:49ZengAmerican Physical SocietyPhysical Review Research2643-15642024-01-016101303510.1103/PhysRevResearch.6.013035Universal scaling relation and criticality in metabolism and growth of Escherichia coliShaohua GuanZhichao ZhangZihan ZhangHualin ShiThe 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, similarly to the universality observed in physics. By analyzing single-cell data, we confirm that metabolism of E. 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.http://doi.org/10.1103/PhysRevResearch.6.013035 |
| spellingShingle | Shaohua Guan Zhichao Zhang Zihan Zhang Hualin Shi Universal scaling relation and criticality in metabolism and growth of Escherichia coli Physical Review Research |
| title | Universal scaling relation and criticality in metabolism and growth of Escherichia coli |
| title_full | Universal scaling relation and criticality in metabolism and growth of Escherichia coli |
| title_fullStr | Universal scaling relation and criticality in metabolism and growth of Escherichia coli |
| title_full_unstemmed | Universal scaling relation and criticality in metabolism and growth of Escherichia coli |
| title_short | Universal scaling relation and criticality in metabolism and growth of Escherichia coli |
| title_sort | universal scaling relation and criticality in metabolism and growth of escherichia coli |
| url | http://doi.org/10.1103/PhysRevResearch.6.013035 |
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