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Study On The Dynamics Of The Artificial Quorum Sensing System In Bacteria

Posted on:2019-09-27Degree:MasterType:Thesis
Country:ChinaCandidate:X C ZhangFull Text:PDF
GTID:2370330545497983Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Quorum sensing is a signal communication between bacteria,which can regulate many important biological functions of bacteria by monitoring their population density.At present researchers study the quorum sensing mechanisms mainly with experiment or mathematical modeling.The quorum sensing signaling pathways of bacteria are extremely complex,but theoretically we can focus on the signaling network modeling of key proteins to quantitatively discuss the dynamical mechanisms of bacterial quorum sensing.This paper aims at artificially constructed quorum-sensing systems that regulate cell concentration,further refines its signal network,establishes mathematical models,and obtains the following conclusions from the dynamic analysis of mathematical models:(1)We have established a correct mathematical model for artificially constructed quorum sensing systems.(2)We can use the model to simulate and nalyze the optimal induced concentration of IPTG.(3)Through the permeability of AHL,we found that the bacterial density in the stationary phase is proportional to the rate parameter of the signal molecules entering and leaving the cells within a certain range;And controlling the AHL does not flow out of the cell,the bacteria have a lower density during the stationary phase.(4)The efficiency of RBS is near 0.35,the bacterial growth curve exhibits a double peak phenomenon.The first peak occurs due to the effect of the toxic protein CcdB,and the second peak occurs due to the bacterial death caused by the accumulation of toxic catabolite in the late stage of bacterial growth.These dynamic analysis can provide guidance for experimental researchers and production practices,saving a lot of manpower and material resources.
Keywords/Search Tags:Quorum Sensing, Signal Molecule, Dynamic Modeling
PDF Full Text Request
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