Team:Tsinghua/Contribution
Contribution
Wetlab
Here we cloned a new part, Bacillus Subtilis Nitric oxide synthase and now have been uploaded to the parts. We also characterized the working condition of bsNOS in E.Coli. Instructions about NO detecting and quantification in bacteria were provided as well. Meanwhile we characterized the part BBa_K1893003 and tested its function in different bacteria strains. We also perfected with the previous methods and protocols for biofilm culturing and quantification.
Although we only had very limited time for our wetlab experiment, we are proud that with everyone’s effort we managed to finish the major parts of our project and preliminarily verified our concept, that using our engineered bacteria to induce the biofilm dispersion.
Human practice
We successfully organized and held an online education program on Bilibili live-broadcasting room, collaborated with another 4 iGEM teams. Our program not only accumulated the experience on online-education via live-broadcasting room and the records, but also publicize iGEM and synthetic biology for over 20,000 audience around China.
Also, as a member of Anti-Biofilm community, we designed and published a meaningful educational brochure, ‘A Handbook of Anti-Biofilm Community’, and distribute it online and offline to interested people.
Hardware
As a substituted choice for micro-fluid chip, we managed to design and construct our DIY fluid pipeline to observe the growth of P.aeruginosa biofilm, which could realize the dynamic cultivation and observation.
Modeling
The modeling part of NBA (NO induced Biofilm Allayer) mainly consisits on 2 main components, namely:
1. A derterministic model of the Quorum Sensing in the biofilm system
2. Mathematical descriptions of interactions between NO and the biofilm.
We apply MATLAB for the numerical simulation, and some basic analysis are done for the mathematical model. From this, we find out many unprecedented interesting properties of biofilm. The model proves the concept of the project under certain assumptions, and could serve as a rough biofilm estimation.
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