Publication | Open Access
A Formalized Design Process for Bacterial Consortia That Perform Logic Computing
30
Citations
28
References
2013
Year
Applied LogicEscherichia Coli ConsortiumEngineeringSynthetic CircuitBiological ComputingFormalized Design ProcessPerform Logic ComputingFormal VerificationLogic ProgrammingMolecular ComputingComputational LogicGenetic CircuitsMetabolic EngineeringPathway EngineeringBacterial ConsortiaFormal ModelingMicrobial ConsortiaComputer ScienceSoftware DesignLogic SynthesisAutomated ReasoningComputational BiologyBiotechnologySynthetic BiologyFormal MethodsGenetic EngineeringMicrobiologyBiological ComputationSystems BiologyMedicine
The concept of microbial consortia is of great attractiveness in synthetic biology. Despite of all its benefits, however, there are still problems remaining for large-scaled multicellular gene circuits, for example, how to reliably design and distribute the circuits in microbial consortia with limited number of well-behaved genetic modules and wiring quorum-sensing molecules. To manage such problem, here we propose a formalized design process: (i) determine the basic logic units (AND, OR and NOT gates) based on mathematical and biological considerations; (ii) establish rules to search and distribute simplest logic design; (iii) assemble assigned basic logic units in each logic operating cell; and (iv) fine-tune the circuiting interface between logic operators. We in silico analyzed gene circuits with inputs ranging from two to four, comparing our method with the pre-existing ones. Results showed that this formalized design process is more feasible concerning numbers of cells required. Furthermore, as a proof of principle, an Escherichia coli consortium that performs XOR function, a typical complex computing operation, was designed. The construction and characterization of logic operators is independent of "wiring" and provides predictive information for fine-tuning. This formalized design process provides guidance for the design of microbial consortia that perform distributed biological computation.
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