ePathOptimize: A Combinatorial Approach for Transcriptional Balancing of Metabolic Pathways
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Authors
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.
Issue Date
2015-06-11
Type
Article
Language
ENG
Keywords
Biology , Chemistry and chemical biology , Chemical and biological engineering , Biomedical engineering
Alternative Title
Abstract
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.
Description
Scientific Reports, 5, 11301
Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.
Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.
Full Citation
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.
Publisher
Nature
Terms of Use
Journal
Volume
Issue
PubMed ID
DOI
ISSN
20452322