Nowadays, the yeast Saccharomyces cerevisiae is the platform of choice for demonstrating the proof of concept of the production of metabolites with a complex structure. However, introducing heterologous genes and rewiring the endogenous metabolism is still not standardized enough, affecting negatively the readiness-to-market of such metabolites. We developed the Easy Modular Integrative fuSion-ready Expression (Easy-MISE) toolkit, which is a novel combination of synthetic biology tools based on a single Golden Gate multiplasmid assembly meant to further ameliorate the rational predictability and flexibility of the process of yeast engineering. Thanks to an improved cloning screening strategy, double and independent transcription units are easily assembled and subsequently integrated into previously characterized loci. Moreover, the devices can be tagged for localization. This design allows for a higher degree of modularity and increases the flexibility of the engineering strategy. We show with a case study how the developed toolkit accelerates the construction and the analysis of the intermediate and the final engineered yeast strains, leaving space to better characterize the heterologous biosynthetic pathway in the final host and, overall, to improve the fermentation performances. Different S. cerevisiae strains were built harboring different versions of the biochemical pathway toward glucobrassicin (GLB) production, an indolyl-methyl glucosinolate. In the end, we could demonstrate that in the tested conditions the best-producing strain leads to a final concentration of GLB of 9.80 ± 0.267 mg/L, a titer 10-fold higher than the best result previously reported in the literature.
Easy Modular Integrative fuSion-ready Expression (Easy-MISE) Toolkit for Fast Engineering of Heterologous Productions in Saccharomyces cerevisiae.
用于快速构建酿酒酵母异源表达的简易模块化集成融合表达(Easy-MISE)工具包
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作者:Maestroni Letizia, Butti Pietro, Milanesi Riccardo, Pagliari Stefania, Campone Luca, Serra Immacolata, Branduardi Paola
| 期刊: | ACS Synthetic Biology | 影响因子: | 3.900 |
| 时间: | 2023 | 起止号: | 2023 May 19; 12(5):1508-1519 |
| doi: | 10.1021/acssynbio.3c00015 | 研究方向: | 其它 |
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