期刊
METABOLITES
卷 10, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/metabo10080320
关键词
promoter architecture; promoter engineering; synthetic promoter; synthetic biology; machine learning; Saccharomyces cerevisiae
资金
- National Key Research and Development Program of China [2018YFA0903200]
- National Natural Science Foundation of China [31800079]
- Shenzhen Institute of Synthetic Biology Scientific Research Program [DWKF20190004]
Promoters play an essential role in the regulation of gene expression for fine-tuning genetic circuits and metabolic pathways inSaccharomyces cerevisiae(S. cerevisiae). However, native promoters inS. cerevisiaehave several limitations which hinder their applications in metabolic engineering. These limitations include an inadequate number of well-characterized promoters, poor dynamic range, and insufficient orthogonality to endogenous regulations. Therefore, it is necessary to perform promoter engineering to create synthetic promoters with better properties. Here, we review recent advances related to promoter architecture, promoter engineering and synthetic promoter applications inS. cerevisiae. We also provide a perspective of future directions in this field with an emphasis on the recent advances of machine learning based promoter designs.
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