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Team:Imperial College London/Autoinduction
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To characterise the properties of our autoinduction switch, we put the fluorescent protein GFP under the control of the PcstA promoter (<partinfo>BBa_K200018 </partinfo>) as shown below. Preliminary data confirms that the PcstA promoter is repressed by glucose but is active when cells are cultured on secondary carbon sources. The highest output of GFP obtained in our experiments has been on 10% casamino acids. Based on this finding, we have decided to use this as our secondary carbon source. | To characterise the properties of our autoinduction switch, we put the fluorescent protein GFP under the control of the PcstA promoter (<partinfo>BBa_K200018 </partinfo>) as shown below. Preliminary data confirms that the PcstA promoter is repressed by glucose but is active when cells are cultured on secondary carbon sources. The highest output of GFP obtained in our experiments has been on 10% casamino acids. Based on this finding, we have decided to use this as our secondary carbon source. | ||
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Revision as of 20:30, 20 October 2009
Contents |
Module Integration - Autoinduction
Overview
The autoinduction process switches on Module 2 following the accumulation of a predetermined concentration of polypeptide. The term 'autoinduction' was chosen as the flipping of this switch is triggered by the chemical composition of the media in which our chassis is grown.
The 'on signal' orginates from inside the system: hence 'autoinduction'.
Design Rationale
Before embarking on the creation of an autoinduction switch, we reviewed a number of possible alternatives. A genetically encoded timer was initially considered however these present a considerable number of problems that were absent from an autoinduction switch.
| Genetic Timers | Autoinduction Switch |
|---|---|
| Existing genetic timers are unable to provide a long enough delay. | The length of our delay can be tuned by altering the composition of our media |
| They are liable to fall out of phase. | Since the whole population are exposed to the same media, a greater proportion will begin Module 2 in synchrony. |
| They require multiple genes. | Only a single promoter is required for our autoinduction switch. |
We believe that the advantages and modularity of our autoinduction switch is such that future iGEM teams will be able to deploy it in a broad range of senarios.
Initiation
Module 2 is triggered by a rise in levels of cyclic Adenosine Mono Phosphate (cAMP). This is because cAMP facilitates the dimerisation of the transcription factor CRP which induces transcription downstream of the PcstA promoter ([http://partsregistry.org/Part:BBa_K118011 BBa_K118011]). The rise in cAMP is correlated with a fall in levels of the primary carbon source (glucose). Thus, by controlling the initial amount of glucose present in the system, we achieve a timer function for the start of Module 2.
Results
Wet Lab
To characterise the properties of our autoinduction switch, we put the fluorescent protein GFP under the control of the PcstA promoter () as shown below. Preliminary data confirms that the PcstA promoter is repressed by glucose but is active when cells are cultured on secondary carbon sources. The highest output of GFP obtained in our experiments has been on 10% casamino acids. Based on this finding, we have decided to use this as our secondary carbon source.
Dry Lab
The first of our diauxic growth models is a cybernetic model developed by Kompala et al [1]. This model shows that glucose (S1) is used up before the secondary carbon source (S2). During this phase, the population (X) is in exponential grow until glucose (S1) runs out. This is followed by a stationary growth phase, and finally the population enters a second exponential growth phase as they start uptaking the secondary carbon source (S2). Another model was developed by Keasling [2] that takes into account the dynamics of the lactose operon. //Include a nice diauxic growth curve from the lab
About the models and simulations!
Conclusion
We have chosen a strategy of autoinduction to control the initiation of Module 2. Based on experimental data collected by our team, we were able to select 10% casamino acids as the most suitable secondary carbon source for maximal output from the PcstA promtoer.
