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Connecting central carbon and aromatic amino acid metabolisms to improve de novo 2-phenylethanol production in Saccharomyces cerevisiae.
- Source :
-
Metabolic Engineering . Dec2019, Vol. 56, p165-180. 16p. - Publication Year :
- 2019
-
Abstract
- The organic compound 2-phenylethanol (2PE) has a pleasant floral scent and is intensively used in the cosmetic and food industries. Microbial production of 2PE by phenylalanine bioconversion or de novo biosynthesis from sugar offer sustainable, reliable and natural production processes compared to chemical synthesis. Despite the ability of Saccharomyces cerevisiae to naturally synthesize 2PE, de novo synthesis in high concentration and yield remains a metabolic engineering challenge. Here, we demonstrate that improving phosphoenolpyruvate supply by expressing pyruvate kinase variants and eliminating the formation of p -hydroxy-phenylethanol without creating tyrosine auxotrophy significantly contributed to improve 2PE production in S. cerevisiae. In combination with the engineering of the aromatic amino acid biosynthesis and Ehrlich pathway, these mutations enabled better connection between glycolysis and pentose phosphate pathway optimizing carbon flux towards 2PE. However, attempts to further connect these two parts of central carbon metabolism by redirecting fructose-6P towards erythrose-4P by expressing a phosphoketolase-phosphotransacetylase pathway did not result in improved performance. The best performing strains were capable of producing 13mM of 2PE at a yield of 0.113 mol mol-1, which represents the highest yield for de novo produced 2PE in S. cerevisiae and other yeast species. • PYK1 D147N expression supplies an improved PEP flux towards 2PE synthesis. • TYR1 expression driven by YEN1pr results in >90% reduction of pOH2PE. • Expression of a Bb Xfpk and Ck pta shunt did not result in improve 2PE production. • 2PE production is limited by product inhibition. • The best performing strain produced 13mM of 2PE with a 0.113 mol mol-1 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10967176
- Volume :
- 56
- Database :
- Academic Search Index
- Journal :
- Metabolic Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 139277294
- Full Text :
- https://doi.org/10.1016/j.ymben.2019.09.011