Here we describe application of this technology platform to design and construct a high-performing microorganism capable of producing BDO from carbohydrates for the first time. The Biopathway Predictor algorithm was employed to elucidate all possible routes to BDO from central metabolites, and choose the most favorable for implementation. We then utilized the OptKnock methodology to identify a set of gene deletions designed to couple product formation to growth. After design-based construction of the biocatalyst, our models facilitated the analysis of fermentation data to evaluate performance. Systems biology approaches including microarrays, 13C-flux analysis, and metabolomics were applied to characterize the strain, identify targets for further improvement, and optimize the fermentation process. The presentation will show how significant progress was made in BDO titer, production rate, and yield through model-guided strain and process improvement, ultimately resulting in an economically attractive process that was validated at the pilot scale.
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