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用于靶向发现新型微生物天然产物的系统发育引导(元)基因组挖掘方法。

Phylogeny-guided (meta)genome mining approach for the targeted discovery of new microbial natural products.

作者信息

Kang Hahk-Soo

机构信息

Department of Bio-industrial Technologies, Konkuk University, Seoul, 05029, Korea.

Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Korea.

出版信息

J Ind Microbiol Biotechnol. 2017 Feb;44(2):285-293. doi: 10.1007/s10295-016-1874-z. Epub 2016 Nov 24.

Abstract

Genomics-based methods are now commonplace in natural products research. A phylogeny-guided mining approach provides a means to quickly screen a large number of microbial genomes or metagenomes in search of new biosynthetic gene clusters of interest. In this approach, biosynthetic genes serve as molecular markers, and phylogenetic trees built with known and unknown marker gene sequences are used to quickly prioritize biosynthetic gene clusters for their metabolites characterization. An increase in the use of this approach has been observed for the last couple of years along with the emergence of low cost sequencing technologies. The aim of this review is to discuss the basic concept of a phylogeny-guided mining approach, and also to provide examples in which this approach was successfully applied to discover new natural products from microbial genomes and metagenomes. I believe that the phylogeny-guided mining approach will continue to play an important role in genomics-based natural products research.

摘要

基于基因组学的方法如今在天然产物研究中已很常见。一种系统发育引导的挖掘方法提供了一种手段,可快速筛选大量微生物基因组或宏基因组,以寻找感兴趣的新生物合成基因簇。在这种方法中,生物合成基因作为分子标记,利用已知和未知标记基因序列构建的系统发育树来快速确定生物合成基因簇的优先级,以便对其代谢产物进行表征。随着低成本测序技术的出现,在过去几年中已观察到这种方法的使用有所增加。本综述的目的是讨论系统发育引导挖掘方法的基本概念,并提供该方法成功应用于从微生物基因组和宏基因组中发现新天然产物的实例。我相信,系统发育引导挖掘方法将继续在基于基因组学的天然产物研究中发挥重要作用。

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