A2 (3OC6HSL) concentration for half-maximal inhibition of PluxI promoter
Department of Biomedical Engineering and Institute for Genome Sciences and Policy, Duke University
predator cells (MG1655) (per 103 cells per microlitre)
A1 (3OC12HSL) concentration for half-maximal activation of PluxI promoter
prey cell A2 (3OC6HSL) synthesis rate costant
cellular A1 (3OC12HSL) decay rate constant
prey cells (Top10F) (per 103 cells per microlitre)
cellular A2 (3OC6HSL) decay rate constant
predator cell A1 (3OC12HSL) synthesis rate costant
This is the reduced model described in the article: A synthetic Escherichia coli predator–prey ecosystem Balagaddé FK, Song H, Ozaki J, Collins CH, Barnet M, Arnold FH, Quake SR, You L. Mol Syst Biol. 2008;4:187. Epub 2008 Apr 15. PMID: 18414488 ; DOI: 10.1038/msb.2008.24 Abstract: We have constructed a synthetic ecosystem consisting of two Escherichia coli populations, which communicate bi-directionally through quorum sensing and regulate each other's gene expression and survival via engineered gene circuits. Our synthetic ecosystem resembles canonical predator–prey systems in terms of logic and dynamics. The predator cells kill the prey by inducing expression of a killer protein in the prey, while the prey rescue the predators by eliciting expression of an antidote protein in the predator. Extinction, coexistence and oscillatory dynamics of the predator and prey populations are possible depending on the operating conditions as experimentally validated by long-term culturing of the system in microchemostats. A simple mathematical model is developed to capture these system dynamics. Coherent interplay between experiments and mathematical analysis enables exploration of the dynamics of interacting populations in a predictable manner. In the article the cell density is given in per 10 3 cells per microlitre. To evade a conversion factor in the SBML implementation, the unit for the cell densities was just left the same as for the AHLs A and A2 (nM). This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2012 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.