Part:BBa_K1415205
Pcons+B0034+PBAN(Spodoptera litura)+B0034+BFP+J61048
To predict the PBAN expression in E.coli by computer modeling, we next tested PBAN BFP biobricks. We obtained the average expressive value of the blue fluorescence in the biobrick part (above) and also the control part of Pcons + RBS + BFP + Ter. Therefore, we can use the average value to generate predictions of the PBAN expression in E.coli. Below is the blue fluorescence expression curve and bacterial growth curve (OD 600) in a long period of time. We used these data to predict the PBAN expression in E.coli.
Modeling
The device we design and working mechanism
In our project, we will biologically synthesize PBAN with our E.coli. We store the PBAN inside a trapping device. In the device, there will be appropriate lighting and nutrient sources that will attract insects.
Once an insect is attracted into our device and ingests the nutrient sources we provide, it will also inevitably come in contact with our PBAN. As the PBAN works and activates the pheromone synthesis of the attracted insect, more of this species of insect’s counterparts will be attracted and later captured.
Owing to the first feature mentioned above, PBAN are species-specific, which means that it doesn't matter if other kind of insect fly into our device and eat PBAN, because the insects we don't want to catch will not be stimulated by PBANs to produce pheromone; our PBAN are only for what we want to catch, and we are sure that our method won't affect other kinds of insects.
Sequence and Features
- 10COMPATIBLE WITH RFC[10]
- 12INCOMPATIBLE WITH RFC[12]Illegal NheI site found at 7
Illegal NheI site found at 30 - 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25INCOMPATIBLE WITH RFC[25]Illegal NgoMIV site found at 79
Illegal NgoMIV site found at 909 - 1000COMPATIBLE WITH RFC[1000]
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