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Abstract：
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.
摘要：
链霉菌是生物活性和复杂的次生代谢产物的大量和宝贵的资源，其中许多具有重要的临床应用。随着高通量基因组测序方法的进步,已经开发了各种计算机基因组挖掘策略，并将其应用于链霉菌基因组的作图。这些研究表明，链霉菌具有比先前估计的更多数量的未表征的沉默次级代谢产物生物合成基因簇（smBGC）。将smBGC与其编码的产物链接在发现新的次级代谢产物中发挥了关键作用，还有,基于知识的smBGC工程生产改造产品。在这个迷你评论中，我们讨论了链霉菌基因组测序的最新进展以及基因组挖掘方法在识别和表征smBGC中的应用。此外，我们讨论了加速基因组挖掘过程并最终支持发现新的生物活性化合物需要克服的几个挑战。
