S91: The RBS Library Calculator: design of synthetic DNA for efficient combinatorial optimization of metabolic pathways

Tuesday, July 26, 2011: 10:00 AM
Oak Alley, 4th fl (Sheraton New Orleans)
Iman Farasat, Chemical engineering, Pennsylvania State University, University Park, PA, Jason Collens, Biological engineering, Pennsylvania State University, University Park, PA and Howard Salis, Chemical engineering / Biological engineering, Pennsylvania State University, University Park, PA
Synthetic metabolic pathways enable microbes to manufacture high-value chemicals from low-value feedstock. However, identifying the optimal enzyme expression levels that maximize a pathway's productivity remains a major challenge. We have developed the RBS Library Calculator, a predictive design method that enables efficient combinatorial optimization of synthetic metabolic pathways. The method combines our thermodynamic model of bacterial translation (Salis et. al., Nature Biotech, 2009) with a genetic optimization algorithm, to computationally determine a RBS library sequence that uniformly varies a protein's expression level across a 100,000-fold scale while minimizing the total library size.

We experimentally demonstrate the RBS Library Calculator's utility on a 5-enzyme biodetoxification pathway that catabolizes furfural, a key inhibitor found in lignocellulosic feedstock. We construct a library of pathway variants that uniformly sample the 5-dimensional enzyme expression level space and then employ selection techniques to identify the pathway variant with the optimal enzyme expression levels. Using this approach, we created a biodetoxification pathway that enables a non-tolerant E. coli strain to succesfully grow on M9 media with 3 g/L furfural (an otherwise toxic condition).