Een verkenning van de diversiteit van Saccharomyces cerevisiae-stammen als celfabrieken voor limoneenproductie

Authors: Yanmei Zhu
Cited by: 0

Abstract

Genetically engineered microbes are increasingly utilized to produce a broad range of high-value compounds. However, most studies start with only a very narrow group of genetically tractable type strains that have not been selected for maximum titers or industrial robustness. In this study, we used high-throughput screening and parallel metabolic engineering to identify and optimize Saccharomyces cerevisiae chassis strains for limonene production, a monoterpene with applications in flavors, fragrances, and biofuels. We screened 921 genetically and phenotypically distinct S. cerevisiae strains for limonene tolerance and lipid content to identify optimal chassis strains for precision fermentation of limonene. In parallel, we also evaluated 16 different plant limonene synthases. Our results revealed that two of the selected strains showed approximately a 2-fold increase in titers compared to CEN.PK2-1C, the type strain that is often used as a chassis for limonene production, with the same genetic modifications in the mevalonate pathway. Intriguingly, the most effective engineering strategy proved strain-specific. Metabolic profiling revealed that this difference is likely explained by differences in native mevalonate production. Ultimately, by using strain-specific engineering strategies, we achieved 1412 mg/L in a new strain, which is 83% higher than the optimal titer (770 mg/L) achieved in CEN.PK2-1C. Our findings demonstrate the potential of leveraging genetic diversity in S. cerevisiae for monoterpene bioproduction and highlight the necessity for tailoring metabolic engineering strategies to specific strains.

Fields of Study & Subjects

Plant biochemistry and biosynthesis Microbial Metabolic Engineering and Bioproduction Enzyme Catalysis and Immobilization

Publication details

Journal / source
Lirias
Publication date
9 January 2026
Language
EN
Document type
Thesis