利用定量Term-Seq快速生成序列多样化终止子库及其参数化。

IF 2.6 Q2 BIOCHEMICAL RESEARCH METHODS Synthetic biology (Oxford, England) Pub Date : 2019-10-29 eCollection Date: 2019-01-01 DOI:10.1093/synbio/ysz026
Andrew J Hudson, Hans-Joachim Wieden
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引用次数: 9

摘要

合成生物学和生物装置的合理设计和构建需要大量具有特征的生物部件,以及可靠的设计工具来构建日益复杂的多基因结构。建立了固有终止器的设计原则;然而,需要额外的序列结构研究来完善基于终端的遗传装置的参数。我们报告了一种快速的单罐方法来生成数千个随机双向固有终止子的库,以及一种改进的定量Term-Seq (qTerm-Seq)方法来同时识别终止子序列并测量它们的终止效率(TEs)。使用qTerm-Seq,我们对大肠杆菌中数百个额外的强终止子(TE > 90%)进行了表征,其中一些终止子将转录读通率降低了1000倍。我们的终止子库和qTerm-Seq管道构成了一个灵活的平台,可以识别终止子部分,不仅可以在期望的范围内实现转录终止,还可以研究它们的序列结构特征,包括在常见的体内系统(如大肠杆菌)之外的特定遗传和应用环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Rapid generation of sequence-diverse terminator libraries and their parameterization using quantitative Term-Seq.

Synthetic biology and the rational design and construction of biological devices require vast numbers of characterized biological parts, as well as reliable design tools to build increasingly complex, multigene architectures. Design principles for intrinsic terminators have been established; however, additional sequence-structure studies are needed to refine parameters for termination-based genetic devices. We report a rapid single-pot method to generate libraries of thousands of randomized bidirectional intrinsic terminators and a modified quantitative Term-Seq (qTerm-Seq) method to simultaneously identify terminator sequences and measure their termination efficiencies (TEs). Using qTerm-Seq, we characterize hundreds of additional strong terminators (TE > 90%) with some terminators reducing transcription read-through by up to 1000-fold in Escherichia coli. Our terminator library and qTerm-Seq pipeline constitute a flexible platform enabling identification of terminator parts that can achieve transcription termination not only over a desired range but also to investigate their sequence-structure features, including for specific genetic and application contexts beyond the common in vivo systems such as E. coli.

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