Chinese Physics B, Volume. 29, Issue 10, (2020)
Quantitative modeling of bacterial quorum sensing dynamics in time and space
Figures & Tables(2)
Fig. 1. An overview of the QS systems in bacterial cell. (a) At low cell density, the concentration of autoinducer is low. (b) At high cell density, the autoinducer concentration reaches a threshold to induce corresponding gene expression to trigger QS. (c) Schematic of the QS system in Gram-negative bacteria. AHL is the autoinducer in the system. (d) Schematic of the QS system in Gram-positive bacteria. AIP is the autoinducer. (e) Schematic of the synthetic QS system in
Table 1. Representative models of different QS systems in bacteria.
View tableView in ArticleTable 1. Representative models of different QS systems in bacteria.
Year Author Method Major conclusion QS systems in Gram-negative bacteria 2000 James et al. ODE & bifurcation analysis lux genes can induce luminesce under the shortage of extracellular signal molecule 2001 Dockery et al. ODE & PDE The high and low states of auto-inducer are highly controlled by the size and local density of cells 2004 Chen et al. ODE Providing an important basis for the precise determination of the rhl QS system 2010 Melke et al. ODE & bifurcation analysis The cell density-dependent behavior of LuxR-AHL QS system depends on local cell-clustering and the geometry of the evolution space 2013 Mcintosh et al. ODE A negative feedback is required for state changing of the QS system in Sinorhizobium meliloti 2016 Barbarossa et al. DDE & bifurcation analysis The delay QS system is sufficient to explain the biological observations 2016 Marenda et al. ODE Demonstrating how tube height overtakes the role of producer density in triggering sensor activation QS systems in Gram-positive bacteria 2004 Gustafsson et al. ODE Altering agr activity hardly affects RNAIII levels but changes the cells sensitivity to AIP 2005 Koerber et al. ODE & Monte-Carlo The first stochastic model for bacterial QS system 2007 Karlsson et al. ODE & bifurcation analysis A putative ComX-dependent repressor which inhibits the expression of comCDE and comX is determined QS systems in Gram-positive and-negative bacteria 2009 Banik et al. ODE The key dimensionless parameters that control the QS system of Vibrio harveyi is determined 2009 Long et al. ODE Quantifying the integration of QS system in Vibrio harveyi 2014 Hunter et al. ODE Qrr in Vibrio cholerae is more abundant and more sensitive to the changes in LuxO than Vibrio harveyi Synthetic QS systems in bacteria 2001 Nilsson et al. ODE This study quantitatively explored the implications of the components for AHL regulation under different situations 2002 Lee et al. ODE The first molecular mechanism-based model in a recombinant E. coli system 2004 You et al. ODE A cell density control circuit that incorporates cell death was designed. 2005 Chen et al. ODE & bifurcation analysis Noises are essential for inducing the system cooperative behaviors 2006 Li et al. ODE & stochastic simulations Biological steps were determined to be exist in the synthesis of AI-2 2013 Saeidi et al. ODE The model can be used to predict the production of GFP
Tools
Get Citation
Copy Citation Text
Xiang Li, Hong Qi, Xiao-Cui Zhang, Fei Xu, Zhi-Yong Yin, Shi-Yang Huang, Zhao-Shou Wang, Jian-Wei Shuai. Quantitative modeling of bacterial quorum sensing dynamics in time and space[J]. Chinese Physics B, 2020, 29(10):
Paper Information
Category: Modeling and simulations for the structures and functions of proteins and nucleic acids
Received: Jun. 20, 2020
Accepted: --
Published Online: Apr. 21, 2021
The Author Email: Wang Zhao-Shou (jianweishuai@xmu.edu.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20