Liu, Yuxin. Metabolic engineering of E. coli for biosynthesis of 4-hydroxybenzoate and its derivative hydroxyhydroquinone. Retrieved from https://doi.org/doi:10.7282/t3-y71s-jk94
Description4-hydroxybenzoate(4HB), a phenolic derivative of benzoic acid that is ubiquitous in plants, is a valuable intermediate compound for many fine chemicals such as phenol, cis, cis-muconic acid, and protocatechuate. Currently, the commercial production of 4HB uses the Kolbe-Schmitt reaction which takes potassium phenoxide and carbon dioxide as the reactants. However, this reaction relies heavily on the utilization of petrochemicals and harsh production conditions, which is not environmentally friendly. Hence there is a pressing need for sustainable biosynthesis of 4HB from renewable feedstock materials. This dissertation focuses on using metabolic engineering tools to improve the 4HB and its derivative biosynthesis in Escherichia coli. Specifically, this thesis study uses a biosensor-assisted system to overcome the barrier in 4HB bioproduction. First, a biosensor-assisted cell-selection system was engineered to manipulate the availability of the 4HB sensor protein and its binding sites, which increased the selection pressure and promote 4HB production. Next, a quorum sensing system was coupled with the biosensor-assisted cell selection system for autonomous dynamic regulation of cell selection pressure. This strategy addressed the issue of uneven cell selection pressure during the cultivation and improved the 4HB production in E. coli. The success of this work demonstrates significant potential for wide applications of this methodology in metabolic engineering and synthetic biology for the bioproduction of other compounds. To expand the utility of 4HB biosynthesis, an artificial pathway was established in E. coli to enable the conversion of 4HB to hydroxyhydroquinone (HHQ). The cultivation method was optimized to address the instability issue of HHQ, and modular co-culture engineering strategies were also adopted to enable the de novo bioproduction from glucose. The results of this thesis study provide a new perspective on biosensor-based biosynthesis of metabolic engineering.