Team:XJTLU-CHINA/Model

Modeling

Modeling

Modeling on the sensing device

In the mathematical modeling of quorum sensing, we formulated a system of ordinary equations representing the intracellular and extracellular interactions between the two Agr proteins and AIP (auto-inducing peptide) molecules. Along with numerical simulations, we performed an asymptotic analysis of the time-dependent model in order to characterize whether the AIP molecules produced by Staphylococcus aureus in the intestine would activate our sensing device.

To build the model, we first proposed the following assumptions:

  • The agr mRNA contains all the information required for the translation of AgrC and AgrA. There are plentiful ribosomes for translation within the cells and the rates of translations of AgrC and AgrA are the same, and are proportional to the concentrations of their mRNA.
  • Proteins and mRNA inside the cells are limited by natural degradation.
  • Housekeeping phosphatases are able to dephosphorylate AgrA at rate αpidi.
  • Receptor-bound AIP can dissociate spontaneously at rate αunbind.
  • When an AIP binds to AgrC, we assume that auto-phosphorylation of AgrC happens simultaneously because this process is sufficiently fast. When AgrC transfers its phosphate group to AgrA at rate αpi, it is able to re-auto-phosphorylate.

The resulting equations, together with the definitions of the parameters and variables are shown below.

Table 1 Definitions of the parameters


Parameters Pate constant for Value Units Note
Αpi Phosphorylation of AgrA 10[1] μmol-1ml-1
BBa_K2309001 P2 promoter inducer precursor AgrA A Regulatory protein that can activate the P2 promoter after phosphorylated by the AgrC-AIP complex. Haohui Fang 630
BBa_K2309004 AcmA Autolysin of Lactococcus lactis Haohui Fang 1456
BBa_K2309021 LL-37 Anti-microbial peptide produced by Homo sapiens Zixin Rong 120
BBa_K2309022 LL-37 with A 6× His- Tag LL-37 is an antimicrobial peptide and the 6×His-Tag provides a means of specific detection and purification of LL-37. Yijing Gong 138
BBa_K2309023 GF-17 Anti-microbial peptide that kill bacterial cells by increasing the bacterial membrane permeability Yijing Gong 60
BBa_K2309024 Reverse sequence of GF-17 Similar function as GF-17, but the mechanism is not clear. Yijing Gong 60
BBa_K2309025 Grammistin-Pp1 An antimicrobial peptide with 13 residues in length secreted by Pogonoperca punctata Zixin Rong 48
BBa_K2309026 DRGN-1 An antimicrobial peptide that exhibits pathogen-directed and host-directed activities in promoting the clearance and healing of poly-microbial biofilm infected wounds. Yijing Gong 51
BBa_K2309031 Standard forward primer Standard forward primer for Gibson Assembly to link to the plasmid pNZ8148 Yijing Gong 39
BBa_K2309032 Standard reverse primer Standard reverse primer for Gibson Assembly to link to the plasmid pNZ8148 Yijing Gong 38

Table 2 Definitions of the variables

The three Hill equations represent the rates of translation of AgrA, AgrC and sfGFP. Β1 is the highest efficiency for the promoter pnisA to initiate the transcription of the agrC and agrA genes, and β2 is the highest efficiency for the promoter P2 to initiate the transcription of the sfGFP gene. X is the concentration of nisin which is needed to activate the promoter pnisA, to this extent, k1 equals to the concentration of Api when the rate of reaction is up to half of Vmax. K2, which is controlled by another regulatory factor, is the concentration of phosphorylated AgrA when the rate of reaction is up to half of Vmax.

By assuming that 0.25 μM of AIP molecules is present in the intestine, we run the MATLAB script to check whether AIP molecules can successfully activate the promoter P2 by binding to AgrC and phosphorylating AgrA. We set the threshold concentration of sfGFP to be 0.5 μM, and at this point, we consider the promoter P2 is activated. The results are shown below.

Modelling on peptide synthesis and cell lysis

Collaborators and Supporters

Location

Rm 363, Science Building
Xi'an Jiaotong-Liverpool University
111 Ren'ai Road, Suzhou, China
215123

Get in touch

email

igem@xjtlu.edu.cn

XJTLU-CHINA iGEM 2017