Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli

Abstract Biological functions of bacteria can be regulated by monitoring their own population density induced by the quorum sensing system. However, quantitative insight into the system’s dynamics and regulatory mechanism remain challenging. Here, we construct a comprehensive mathematical model of t...

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Autores principales:	Xiang Li, Jun Jin, Xiaocui Zhang, Fei Xu, Jinjin Zhong, Zhiyong Yin, Hong Qi, Zhaoshou Wang, Jianwei Shuai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6fe4d8f01b854c149dc4284711b474fd
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spelling	oai:doaj.org-article:6fe4d8f01b854c149dc4284711b474fd2021-12-02T15:28:46ZQuantifying the optimal strategy of population control of quorum sensing network in Escherichia coli10.1038/s41540-021-00196-42056-7189https://doaj.org/article/6fe4d8f01b854c149dc4284711b474fd2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41540-021-00196-4https://doaj.org/toc/2056-7189Abstract Biological functions of bacteria can be regulated by monitoring their own population density induced by the quorum sensing system. However, quantitative insight into the system’s dynamics and regulatory mechanism remain challenging. Here, we construct a comprehensive mathematical model of the synthetic quorum sensing circuit that controls population density in Escherichia coli. Simulations agree well with experimental results obtained under different ribosome-binding site (RBS) efficiencies. We present a quantitative description of the component dynamics and show how the components respond to isopropyl-β-D-1-thiogalactopyranoside (IPTG) induction. The optimal IPTG-induction range for efficiently controlling population density is quantified. The controllable area of population density by acyl-homoserine lactone (AHL) permeability is quantified as well, indicating that high AHL permeability should be treated with a high dose of IPTG, while low AHL permeability should be induced with low dose for efficiently controlling. Unexpectedly, an oscillatory behavior of the growth curve is observed with proper RBS-binding strengths and the oscillation is greatly restricted by the bacterial death induced by toxic metabolic by-products. Moreover, we identify that the mechanism underlying the emergence of oscillation is determined by the negative feedback loop structure within the signaling. Bifurcation analysis and landscape theory are further employed to study the stochastic dynamic and global stability of the system, revealing two faces of toxic metabolic by-products in controlling oscillatory behavior. Overall, our study presents a quantitative basis for understanding and new insights into the control mechanism of quorum sensing system, providing possible clues to guide the development of more rational control strategy.Xiang LiJun JinXiaocui ZhangFei XuJinjin ZhongZhiyong YinHong QiZhaoshou WangJianwei ShuaiNature PortfolioarticleBiology (General)QH301-705.5ENnpj Systems Biology and Applications, Vol 7, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Xiang Li Jun Jin Xiaocui Zhang Fei Xu Jinjin Zhong Zhiyong Yin Hong Qi Zhaoshou Wang Jianwei Shuai Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli
description	Abstract Biological functions of bacteria can be regulated by monitoring their own population density induced by the quorum sensing system. However, quantitative insight into the system’s dynamics and regulatory mechanism remain challenging. Here, we construct a comprehensive mathematical model of the synthetic quorum sensing circuit that controls population density in Escherichia coli. Simulations agree well with experimental results obtained under different ribosome-binding site (RBS) efficiencies. We present a quantitative description of the component dynamics and show how the components respond to isopropyl-β-D-1-thiogalactopyranoside (IPTG) induction. The optimal IPTG-induction range for efficiently controlling population density is quantified. The controllable area of population density by acyl-homoserine lactone (AHL) permeability is quantified as well, indicating that high AHL permeability should be treated with a high dose of IPTG, while low AHL permeability should be induced with low dose for efficiently controlling. Unexpectedly, an oscillatory behavior of the growth curve is observed with proper RBS-binding strengths and the oscillation is greatly restricted by the bacterial death induced by toxic metabolic by-products. Moreover, we identify that the mechanism underlying the emergence of oscillation is determined by the negative feedback loop structure within the signaling. Bifurcation analysis and landscape theory are further employed to study the stochastic dynamic and global stability of the system, revealing two faces of toxic metabolic by-products in controlling oscillatory behavior. Overall, our study presents a quantitative basis for understanding and new insights into the control mechanism of quorum sensing system, providing possible clues to guide the development of more rational control strategy.
format	article
author	Xiang Li Jun Jin Xiaocui Zhang Fei Xu Jinjin Zhong Zhiyong Yin Hong Qi Zhaoshou Wang Jianwei Shuai
author_facet	Xiang Li Jun Jin Xiaocui Zhang Fei Xu Jinjin Zhong Zhiyong Yin Hong Qi Zhaoshou Wang Jianwei Shuai
author_sort	Xiang Li
title	Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli
title_short	Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli
title_full	Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli
title_fullStr	Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli
title_full_unstemmed	Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli
title_sort	quantifying the optimal strategy of population control of quorum sensing network in escherichia coli
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6fe4d8f01b854c149dc4284711b474fd
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_version_	1718387208340111360

Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli

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