发起人
酿酒酵母
合成生物学
代谢工程
计算生物学
正交性
基因
生物
计算机科学
基因表达
遗传学
数学
几何学
作者
Hongting Tang,Yanling Wu,Jiliang Deng,Nanzhu Chen,Zhaohui Zheng,Yongjun Wei,Xiaozhou Luo,Jay D. Keasling
出处
期刊:Metabolites
[MDPI AG]
日期:2020-08-06
卷期号:10 (8): 320-320
被引量:63
标识
DOI:10.3390/metabo10080320
摘要
Promoters play an essential role in the regulation of gene expression for fine-tuning genetic circuits and metabolic pathways in Saccharomyces cerevisiae (S. cerevisiae). However, native promoters in S. cerevisiae have 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 in S. 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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