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用于发现模块化天然产物的自动化基因组到天然产物平台(GNP)。

An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products.

作者信息

Johnston Chad W, Skinnider Michael A, Wyatt Morgan A, Li Xiang, Ranieri Michael R M, Yang Lian, Zechel David L, Ma Bin, Magarvey Nathan A

机构信息

Department of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.

Department of Chemistry &Chemical Biology, M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada L8N 3Z5.

出版信息

Nat Commun. 2015 Sep 28;6:8421. doi: 10.1038/ncomms9421.

Abstract

Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, and integrated systems are required to mine the broad spectrum of sequenced bacterial genomes. Here we present a genome-guided natural products discovery tool to automatically predict, combinatorialize and identify polyketides and nonribosomal peptides from biosynthetic assembly lines using LC-MS/MS data of crude extracts in a high-throughput manner. We detail the directed identification and isolation of six genetically predicted polyketides and nonribosomal peptides using our Genome-to-Natural Products platform. This highly automated, user-friendly programme provides a means of realizing the potential of genetically encoded natural products.

摘要

细菌天然产物是一类多样且有价值的小分子,基因组测序表明绝大多数仍未被发现。从生物合成装配线预测天然产物结构有助于其发现,但需要高度自动化、准确且集成的系统来挖掘广泛的已测序细菌基因组。在此,我们展示了一种基因组导向的天然产物发现工具,该工具利用粗提物的液相色谱-串联质谱(LC-MS/MS)数据,以高通量方式自动从生物合成装配线预测、组合并鉴定聚酮化合物和非核糖体肽。我们详细介绍了使用我们的基因组到天然产物平台对六种基因预测的聚酮化合物和非核糖体肽进行定向鉴定和分离的过程。这个高度自动化、用户友好的程序提供了一种实现基因编码天然产物潜力的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4cf/4598715/72a1467bf372/ncomms9421-f1.jpg

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