基因组
无菌的
工具箱
生化工程
微生物群
自然(考古学)
数据科学
生物
有机体
计算机科学
计算生物学
生物技术
生物信息学
工程类
遗传学
细菌
古生物学
基因
程序设计语言
作者
Jackson K. B. Cahn,Jörn Piel
标识
DOI:10.1002/anie.201900532
摘要
Abstract The diverse microbes that produce natural products represent an important source of novel therapeutics, drug leads, and scientific tools. However, the vast majority have not been grown in axenic culture and are members of complex communities. While meta‐’omic methods such as metagenomics, ‐transcriptomics, and ‐proteomics reveal collective molecular features of this “microbial dark matter”, the study of individual microbiome members can be challenging. To address these limits, a number of techniques with single‐bacterial resolution have been developed in the last decade and a half. While several of these are embraced by microbial ecologists, there has been less use by researchers interested in mining microbes for natural products. In this review, we discuss the available and emerging techniques for targeted single‐cell analysis with a particular focus on applications to the discovery and study of natural products.
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