Current advancements in systems and synthetic biology studies of Saccharomyces cerevisiae

Saccharomyces cerevisiae has a long-standing history of biotechnological applications even before the dawn of modern biotechnology. The field is undergoing accelerated advancement with the recent systems and synthetic biology approaches. In this review, we highlight the recent findings in the field with a focus on omics studies of S. cerevisiae to investigate its stress tolerance in different industries. The latest advancements in S. cerevisiae systems and synthetic biology approaches for the development of genome-scale metabolic models (GEMs) and molecular tools such as multiplex Cas9, Cas12a, Cpf1, and Csy4 genome editing tools, modular expression cassette with optimal transcription factors, promoters, and terminator libraries as well as metabolic engineering. Omics data analysis is key to the iden-tification of exploitable native genes/proteins/pathways in S. cerevisiae with the optimization of heterologous pathway implementation and fermentation conditions. Through systems and synthetic biology, various heterologous compound productions that require non-native biosynthetic pathways in a cell factory have been established via different stra-tegies of metabolic engineering integrated with machine learning.(c) 2023, The Society for Biotechnology, Japan. All rights reserved.

Automated summary

Saccharomyces cerevisiae, a long-standing biotechnological application, has seen accelerated advancement through systems and synthetic biology approaches. Omics studies of S. cerevisiae have been used to investigate its stress tolerance in different industries. The development of genome-scale metabolic models and molecular tools like genome editing tools and metabolic engineering, along with omics data analysis, has facilitated the establishment of heterologous compound productions in cell factories.