Abstract
AbstractSustainable aviation fuel (SAF) will significantly impact global warming in the aviation sector, and important SAF targets are emerging. Isoprenol is a precursor for a promising SAF compound DMCO (1,4-dimethylcyclooctane), and has been produced in several engineered microorganisms. Recently,Pseudomonas putidahas gained interest as a future host for isoprenol bioproduction as it can utilize carbon sources from inexpensive plant biomass. Here, we engineer metabolically versatile hostP. putidafor isoprenol production. We employ two computational modeling approaches (Bilevel optimization and Constrained Minimal Cut Sets) to predict gene knockout targets and optimize the “IPP-bypass” pathway inP. putidato maximize isoprenol production. Altogether, the highest isoprenol production titer fromP. putidawas achieved at 3.5 g/L under fed-batch conditions. This combination of computational modeling and strain engineering onP. putidafor an advanced biofuels production has vital significance in enabling a bioproduction process that can use renewable carbon streams.
Publisher
Cold Spring Harbor Laboratory