AbstractBackgroundPoly(3-hydroxybutyrate) (PHB), have been considered to be good candidates for completely biodegradable polymers due to their similar mechanical properties to petroleum-derived polymers and complete biodegradability. Escherichia coli has been used to simulate the distribution of metabolic fluxes in recombinant E. coli producing poly(3-hydroxybutyrate) (PHB). Genome-scale metabolic network analysis can reveal unexpected metabolic engineering strategies to improve the production of biochemicals and biofuels.ResultsIn this study, we reported the discovery of a new pathway called threonine bypass by flux balance analysis of the genome-scale metabolic model of E. coli. This pathway, mainly containing the reactions for threonine synthesis and degradation, can potentially increase the yield of PHB and other acetyl-CoA derived products by reutilizing the CO2 released at the pyruvate dehydrogenase step. To implement the threonine bypass for PHB production in E. coli, we deregulated the threonine and serine degradation pathway and enhanced the threonine synthesis, resulting in 2.23-fold improvement of PHB titer. Then, we overexpressed glyA to enhance the conversion of glycine to serine and activated transhydrogenase to generate NADPH required in the threonine bypass.ConclusionsThe result strain TB17 (pBHR68) produced 6.82 g/L PHB with the yield of 0.36 g/g glucose in the shake flask fermentation and 35.92 g/L PHB with the yield of 0.23 g/g glucose in the fed-batch fermentation, which was almost 3.3-fold higher than the parent strain. The work outlined here shows that genome-scale metabolic network analysis can reveal novel metabolic engineering strategies for developing efficient microbial cell factories.
Metabolic engineering of Escherichia coli for poly(3-hydroxybutyrate) production via threonine bypass
Zhenquan Lin,Y. Zhang,Qianqian Yuan,Qiaojie Liu,Yifan Li,Zhiwen Wang,Hongwu Ma,Tao Chen,Xue-Ming Zhao
Published 2015 in Microbial Cell Factories
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- Publication year
2015
- Venue
Microbial Cell Factories
- Publication date
2015-11-20
- Fields of study
Biology, Medicine, Engineering, Environmental Science
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- Source metadata
Semantic Scholar, PubMed
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