Difference between revisions of "Team:SCAU-China/Demonstrate"

We try to let cyanbacteria lived in the desert to produce bacteria cellulose through transferring seven genes of cellulose synthase in Acetobacter xylinum to cyanobacteria from desert and PCC6803. This kind of bacterial cellulose is characterized by high purity, strength, and high water holding ability. We hope it can improve the moisture content of desert soils!

We have shown that the cyanobacteria efficiently express shuttle vector pfq20 can recombine our target gene into the genome of the cyanobacteria PCC6803 and the Microcoleus vaginatus through the homologous arm slr0168. We also successfully demonstrated that our bacterial cellulose genes modules can be normally expressed and translated in Cyanbacteria populations. The colony PCR confirms that our expression vector has been successfully integrated into the cyanobacterial genome, and the fluorescent staining experiment proved that our cyanobacteria successfully synthesized the bacterial cellulose. Take a look at our results page for more details.

We have successfully demonstrated that in our artificial climate and environmental conditions, S. cerevisiae and Pseudomonas syriae can successfully grow and form crusts in desert soil (supplied by Gansu Minqin desert-control research institu). Later we will try to use our transformants for BSC experiments.

We have successfully used covariates effected time-series model with data sampling from cyanobacteria growth experiment with multi-conditions to identify environmental factors that have a significant impact on the growth of cyanobacteria. Which will help our transformants work better in the desert.

We modeled our bacterial cellulose synthetic system to increase the production of bacterial cellulose

Casuality network allowed us to build high confidence gene-gene interaction network model based on gene expression profile. Through simulation test, we have successfully demonstrated that our model has better sensitivity, specificity compare with existing network model and found some genes may relate to cellulose production. Hierarchical gene-coexpression model can identify gene coexpression module and quantify the “importance score” for each gene in whole biological system. Our analysis result demonstrated that this model can enrich biological pathway. Visit our modeling page for more details