基因组
生物
计算生物学
基因
基因调控网络
基因表达
调节顺序
基因表达调控
合成生物学
遗传学
作者
Nathan I Johns,Antonio L. C. Gomes,Sung Sun Yim,Anthony Yang,Tomasz Blazejewski,Christopher S. Smillie,Mark Smith,Eric J. Alm,Sriram Kosuri,Harris H. Wang
出处
期刊:Nature Methods
[Springer Nature]
日期:2018-03-19
卷期号:15 (5): 323-329
被引量:90
摘要
Metagenomic mining generates a rich resource of regulatory sequences with species-selective and universal activity, making it possible to engineer synthetic circuits with tunable gene expression across diverse bacterial hosts. Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here we report the large-scale metagenomic mining of thousands of natural 5′ regulatory sequences from diverse bacteria, and their multiplexed gene expression characterization in industrially relevant microbes. We identified sequences with broad and host-specific expression properties that are robust in various growth conditions. We also observed substantial differences between species in terms of their capacity to utilize exogenous regulatory sequences. Finally, we demonstrate programmable species-selective gene expression that produces distinct and diverse output patterns in different microbes. Together, these findings provide a rich resource of characterized natural regulatory sequences and a framework that can be used to engineer synthetic gene circuits with unique and tunable cross-species functionality and properties, and also suggest the prospect of ultimately engineering complex behaviors at the community level.
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