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从土壤宏基因组中进行非培养的天然产物发现。

Culture-independent discovery of natural products from soil metagenomes.

机构信息

Laboratory of Genetically Encoded Small Molecules, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.

出版信息

J Ind Microbiol Biotechnol. 2016 Mar;43(2-3):129-41. doi: 10.1007/s10295-015-1706-6. Epub 2015 Nov 19.

Abstract

Bacterial natural products have proven to be invaluable starting points in the development of many currently used therapeutic agents. Unfortunately, traditional culture-based methods for natural product discovery have been deemphasized by pharmaceutical companies due in large part to high rediscovery rates. Culture-independent, or "metagenomic," methods, which rely on the heterologous expression of DNA extracted directly from environmental samples (eDNA), have the potential to provide access to metabolites encoded by a large fraction of the earth's microbial biosynthetic diversity. As soil is both ubiquitous and rich in bacterial diversity, it is an appealing starting point for culture-independent natural product discovery efforts. This review provides an overview of the history of soil metagenome-driven natural product discovery studies and elaborates on the recent development of new tools for sequence-based, high-throughput profiling of environmental samples used in discovering novel natural product biosynthetic gene clusters. We conclude with several examples of these new tools being employed to facilitate the recovery of novel secondary metabolite encoding gene clusters from soil metagenomes and the subsequent heterologous expression of these clusters to produce bioactive small molecules.

摘要

细菌天然产物已被证明是许多目前使用的治疗药物开发的宝贵起点。不幸的是,由于高重发现率,制药公司对传统的基于培养的天然产物发现方法的重视程度降低了。不依赖培养的或“宏基因组”方法,依赖于直接从环境样本(eDNA)中提取的 DNA 的异源表达,有可能获得地球微生物生物合成多样性的很大一部分编码代谢物。由于土壤无处不在且富含细菌多样性,因此它是进行不依赖培养的天然产物发现工作的理想起点。本文综述了土壤宏基因组驱动的天然产物发现研究的历史,并详细介绍了最近开发的用于基于序列的高通量分析环境样本的新工具的最新进展,这些样本用于发现新的天然产物生物合成基因簇。我们以这些新工具的几个示例作为结束,这些工具可用于促进从土壤宏基因组中回收新型次级代谢产物编码基因簇,并随后对这些簇进行异源表达以产生生物活性小分子。

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