ePathOptimize: A Combinatorial Approach for Transcriptional Balancing of Metabolic Pathways

Jones, J. Andrew
Vernacchio, Victoria R.
Lachance, Daniel M.
Lebovich, Matthew
Fu, Li
Shirke, Abhijit N.
Schultz, Victor L.
Cress, Brady
Linhardt, Robert J.
Koffas, Mattheos A.G.
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Biology , Chemistry and chemical biology , Chemical and biological engineering , Biomedical engineering
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ePathOptimize: A Combinatorial Approach for Transcriptional Balancing of Metabolic Pathways, J. A. Jones, V. Vernacchio, D.Lachance, M. Lebovich, L. Fu, A. Shirke, V. Schultz, B. Cress, R. J. Linhardt, M. Koffas, Scientific Reports, 5, 11301, 2015.
The ability to fine tune gene expression has created the field of metabolic pathway optimization and balancing where a variety of factors affecting flux balance are carefully modulated to improve product titers, yields, and productivity. Using a library of isopropyl β-D-1-thiogalactopyranoside (IPTG)-inducible mutant T7 promoters of varied strength a combinatorial method was developed for transcriptional balancing of the violacein pathway. Violacein biosynthesis involves a complex five-gene pathway that is an excellent model for exploratory metabolic engineering efforts into pathway regulation and control due to many colorful intermediates and side products allowing for easy analysis and strain comparison. Upon screening approximately 4% of the total initial library, several high-titer mutants were discovered that resulted in up to a 63-fold improvement over the control strain. With further fermentation optimization, titers were improved to 1829 ± 46 mg/L; a 2.6-fold improvement in titer and a 30-fold improvement in productivity from previous literature reports.
Scientific Reports, 5, 11301
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Rensselaer Polytechnic Institute, Troy, NY
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