Synthetic Biology Advanced Natural Product Discovery

Metabolites

Jens Nielsen¹  Junyang Wang¹  Zihe Liu¹ 

[1] Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;

关键词: natural products;    biosynthetic gene clusters;    synthetic biology;    genome mining and engineering strategies;    design-build-test-learn (DBTL) cycle;   

DOI  :  10.3390/metabo11110785

来源: DOAJ

【 摘 要 】

A wide variety of bacteria, fungi and plants can produce bioactive secondary metabolites, which are often referred to as natural products. With the rapid development of DNA sequencing technology and bioinformatics, a large number of putative biosynthetic gene clusters have been reported. However, only a limited number of natural products have been discovered, as most biosynthetic gene clusters are not expressed or are expressed at extremely low levels under conventional laboratory conditions. With the rapid development of synthetic biology, advanced genome mining and engineering strategies have been reported and they provide new opportunities for discovery of natural products. This review discusses advances in recent years that can accelerate the design, build, test, and learn (DBTL) cycle of natural product discovery, and prospects trends and key challenges for future research directions.

【 授权许可】

Unknown