Synthetic pathway design, construction and optimization : towards tailor-made cell factories for flavonoids and fatty acids production in E. coli

Authors
Xu, Peng
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Other Contributors
Koffas, Mattheos A. G.
Linhardt, Robert J.
Collins, Cynthia H.
Julius, Anak Agung
Issue Date
2013-05
Keywords
Chemical engineering
Degree
PhD
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Global energy demand, rising petroleum prices and environmental concerns have stimulated increased efforts to develop more sustainable and cost-effective chemicals that are derived from renewable resources. Metabolic engineering entails targeted manipulation of biosynthetic pathways to maximize yields of desired products. As an emerging discipline, synthetic biology is becoming increasingly important to design, construct and optimize metabolic pathways leading to desired overproduction phenotypes. Exploitation of the diverse microbial pathways based on metabolic engineering and synthetic biology frameworks provides a promising solution to synthesis of fuel and pharmaceutical molecules that are previously produced from the petroleum-based resources.
Overall, this research will provide an intellectual foundation as to how synthetic biology can be used to assist the design, construction and optimization of metabolic pathways. This dissertation also adds the strength that metabolic engineering and synthetic biology can be integrated to create tailor-made cell factories for the manufacturing of fuel and pharmaceutical molecules in microorganisms.
As heterologous pathways become larger and more complicated, it becomes increasingly difficult to optimize them with static regulatory control. An ideal approach would be to use dynamic regulatory networks to control gene expression so that the host cells can adjust their metabolic functions when the environmental condition changes. Here we report engineering both the positive and negative feedback controls for dynamic tuning of metabolic flux in E. coli. We have identified a dual regulator which can act either as an activator or a repressor for two different promoters. And the level of activation or repression is dependent on the level of malonyl-CoA inside the cell. As a proof of concept, we demonstrated that the expression of two reporter proteins can be exclusively switched between the on and off state. The implication of this study is that we can integrate these two circuits and dynamically control the metabolic flux in both the malonyl-CoA source pathway and the malonyl-CoA sink pathway to maximize the production of fatty acids in E. coli.
Harnessing cell factories for producing biofuel and pharmaceutical molecules has stimulated efforts to develop novel synthetic biology tools customized for modular pathway engineering and optimization. Here we present a versatile gene assembly platform ePathBricks supporting the modular assembly of multigene metabolic pathways and combinatorial generation of pathway diversities. Based on this gene assembly platform, we have combinatorially optimized the transcriptional levels of three genetic modules in the fatty acid pathway and identified conditions that balance the supply of acetyl-CoA and consumption of malonyl-CoA/malonyl-ACP (acyl carrier protein). Refining protein translation efficiency by customizing ribosome binding sites for both the upstream acetyl-CoA formation and the downstream fatty acid synthase module has enabled further production improvement. Fed-batch cultivation of the engineered strain led to a final fatty acid production of 8.6 g/L. The modular engineering strategies demonstrate a generalized approach to engineering cell factories for valuable metabolites production.
Description
May 2013
School of Engineering
Department
Dept. of Chemical and Biological Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.