13 C Metabolic Flux Analysis for Systematic Metabolic Engineering of S. cerevisiae for Overproduction of Fatty Acids.

Autor: Ghosh A; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA; Indian Institute of Technology (IIT), School of Energy Science and Engineering, Kharagpur, India., Ando D; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA., Gin J; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA., Runguphan W; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA; National Center for Genetic Engineering and Biotechnology (BIOTEC), Pathum Thani, Thailand., Denby C; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA., Wang G; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA., Baidoo EE; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA., Shymansky C; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA; Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA., Keasling JD; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA; Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA; Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University Denmark, Horsholm, Denmark., García Martín H; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, USA; Joint BioEnergy Institute, Emeryville, CA, USA.
Jazyk: angličtina
Zdroj: Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2016 Oct 05; Vol. 4, pp. 76. Date of Electronic Publication: 2016 Oct 05 (Print Publication: 2016).
DOI: 10.3389/fbioe.2016.00076
Abstrakt: Efficient redirection of microbial metabolism into the abundant production of desired bioproducts remains non-trivial. Here, we used flux-based modeling approaches to improve yields of fatty acids in Saccharomyces cerevisiae . We combined 13 C labeling data with comprehensive genome-scale models to shed light onto microbial metabolism and improve metabolic engineering efforts. We concentrated on studying the balance of acetyl-CoA, a precursor metabolite for the biosynthesis of fatty acids. A genome-wide acetyl-CoA balance study showed ATP citrate lyase from Yarrowia lipolytica as a robust source of cytoplasmic acetyl-CoA and malate synthase as a desirable target for downregulation in terms of acetyl-CoA consumption. These genetic modifications were applied to S. cerevisiae WRY2, a strain that is capable of producing 460 mg/L of free fatty acids. With the addition of ATP citrate lyase and downregulation of malate synthase, the engineered strain produced 26% more free fatty acids. Further increases in free fatty acid production of 33% were obtained by knocking out the cytoplasmic glycerol-3-phosphate dehydrogenase, which flux analysis had shown was competing for carbon flux upstream with the carbon flux through the acetyl-CoA production pathway in the cytoplasm. In total, the genetic interventions applied in this work increased fatty acid production by ~70%.
Databáze: MEDLINE