文章基本信息

标题：Mini review: Genome mining approaches for the identification of secondary metabolite biosynthetic gene clusters in Streptomyces
本地全文：下载
作者：Namil Lee ; Soonkyu Hwang ; Jihun Kim 等
期刊名称：Computational and Structural Biotechnology Journal
印刷版ISSN：2001-0370
出版年度：2020
卷号：18
页码：1548-1556
DOI：10.1016/j.csbj.2020.06.024
出版社：Computational and Structural Biotechnology Journal
摘要：Streptomyces are a large and valuable resource of bioactive and complex secondary metabolites, many of which have important clinical applications. With the advances in high throughput genome sequencing methods, various in silico genome mining strategies have been developed and applied to the mapping of the Streptomyces genome. These studies have revealed that Streptomyces possess an even more significant number of uncharacterized silent secondary metabolite biosynthetic gene clusters (smBGCs) than previously estimated. Linking smBGCs to their encoded products has played a critical role in the discovery of novel secondary metabolites, as well as, knowledge-based engineering of smBGCs to produce altered products. In this mini review, we discuss recent progress in Streptomyces genome sequencing and the application of genome mining approaches to identify and characterize smBGCs. Furthermore, we discuss several challenges that need to be overcome to accelerate the genome mining process and ultimately support the discovery of novel bioactive compounds.
关键词：Streptomyces ; Secondary metabolites ; Biosynthetic gene clusters ; Genome mining