封面图片
2017年, 第11卷 第1期
(Ting Yuan, Yakun Guo, Junkai Dong, Tianyi Li, Tong Zhou, Kaiwen Sun, Mei Zhang, Qingyu Wu, Zhen Xie, Yizhi Cai, Limin Cao, Junbiao Dai, pp. 107-116)
One critical step in metabolic engineering is to optimize, both spatially and temporally, the expression of key enzymes, maximizing the metabolic flux to a desired product. Here a genome-wide collection of native promoter libraries were constructed to drive the expression of a yellow fluorescent protein (YFP) reporter in Saccharomyces cerevisiae, allowing fast and accurate measurement of activity of each promoter with fluorescence activated cell sorting (FACS) followed by next-generation sequencing. Most important of all, the activity of these promoters under different growth conditions and in various host cells could be measured, which allows the identification of promoters specifically suitable for certain industrial applications. As a proof of principal, a set of promoters was selected to construct the metabolic pathway to increase ethanol production using xylose as carbon source. The same strategy could be applied to optimize the production of many other natural products.
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ISSN 2095-0179 (Print)
ISSN 2095-0187 (Online)
CN 11-5981/TQ
Postal Subscription Code 80-969 Formerly Known as Frontiers of Chemical Science and Engineering in China 2018 Impact Factor: 2.809