Team:ETH Zurich/Project/Approach
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Evolutionary algorithm: | Evolutionary algorithm: | ||
- | + | 1. Take the elements of current solution population (our populations in the chemostat). | |
- | 2. Mutate them according to some evolutionary rules. | + | 2. Mutate them according to some evolutionary rules (pulse restriction enzymes and ligases). |
- | 3. Test the fitting of each solution. | + | 3. Test the fitting of each solution (grow in continuous culture under selective conditions). |
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+ | 4. Bring only the fitter ones to next generation. | ||
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Revision as of 01:51, 30 October 2008
Our ApproachThe concept we are trying to follow is based on a massively parallel random search. We have developed a top-down approach that will enable us to dramatically reduce the genome size of a living organism. As we described in the previous section we are looking for a minimal subset of genes that are able to sustain life. The main problem when following this type of approach is the combinatorial possibilities that lead to a hugh solution space, this corresponds to a classical NP-problem (non-polynomial) in computer science. The number of combinations of the original set of genes is given by:
We propose the following algorithm as a method to find solutions to the presented problem: Evolutionary algorithm: 1. Take the elements of current solution population (our populations in the chemostat). 2. Mutate them according to some evolutionary rules (pulse restriction enzymes and ligases). 3. Test the fitting of each solution (grow in continuous culture under selective conditions). 4. Bring only the fitter ones to next generation.
In order to prove the viability of the concept, we have developed a series of models and of biological experiments that are introduced in this section. For details on the results of the single steps we refer to the specific sections in the Wetlab and the Modelingsections. Figure 1 gives an overview of the developed system and illustrates the final experimental setup.
The iteration of the following steps gradually reduces the size of the chromosome: 1) Excision of genomic sequences by restriction enzymes and ligases. We have developed a genetic circuit that allows us to generate a controlled pulse to control the expression of restriction enzymes and ligases. Our assumption is that by carefully selecting the timing of the pulse, we can cut fragments of the chromosome, that in a number of cases will be lost when the chromosome is religated. To test this principle in vivo we have developed a proof of concept that will show the potential viability of this method (genome reduction). 2)
a) .. excision of genomic sequences by restriction enzymes can be performed within the living cell; b) .. fragmented genomic DNA can be ligated inside the living cell by simultaneous expression of T4 ligase; c) .. pulse generators that produce pulses of protein expression of variable length terminated by induction with a second compound can be devised both on the transcriptional as well as on the translational level; d) .. cells with optimized growth and reproduction can be selected by competition inside chemostat cultures. Random walk towards a minimal genome |