开发以启动子为中心的强大基因表达工具的简单有效策略

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-09 DOI:10.1021/acssynbio.4c00092
Tongjian Yang, Yihua Chen, Xiaozhou Luo, Jay D Keasling, Keqiang Fan, Guohui Pan
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引用次数: 0

摘要

以启动子为中心的基因工具在控制基因表达的各种应用中发挥着至关重要的作用,如菌株工程和合成生物学研究。因此,开发强大的基因表达工具仍然是一项迫切需要。链霉菌是众所周知的多产天然产物的生产者,也是生产高价值化合物和酶的特殊代宿主。在本研究中,我们报告了一种直接有效的策略,用于创建强效基因表达工具。这主要是通过在启动子的原始 -35 区域上游引入一个额外的 -35 样图案,并在 5'-UTR 区域整合一个回文顺式元件来实现的。这种方法为链霉菌量身定制了一系列强大的组成型和诱导型基因表达工具。特别值得注意的是,在测试条件下,完全激活的土霉素诱导型基因表达系统(包含经过工程化的 kasOp* 启动子(OK))的活性比公认的高强度启动子 kasOp* 高出近一个数量级,从而确立了自己作为链霉菌强大基因表达系统的地位。正如本研究中观察到的其他两个启动子 PL 和 P21 的增强所证明的那样,这一策略有望适用于改造其他各种启动子,以获得强大的基因表达工具。此外,通过提高转谷氨酰胺酶和达托霉素的产量也证明了这些工具的有效性。本研究中建立的基因表达工具,以及即将开展的研究中预期使用的工具,将显著推进链霉菌和其他微生物菌株的通路工程和合成生物学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Simple and Effective Strategy for the Development of Robust Promoter-Centric Gene Expression Tools.

A Simple and Effective Strategy for the Development of Robust Promoter-Centric Gene Expression Tools.

Promoter-centric genetic tools play a crucial role in controlling gene expression for various applications, such as strain engineering and synthetic biology studies. Hence, a critical need persists for the development of robust gene expression tools. Streptomyces are well-known prolific producers of natural products and exceptional surrogate hosts for the production of high-value chemical compounds and enzymes. In this study, we reported a straightforward and effective strategy for the creation of potent gene expression tools. This was primarily achieved by introducing an additional -35-like motif upstream of the original -35 region of the promoter, coupled with the integration of a palindromic cis-element into the 5'-UTR region. This approach has generated a collection of robust constitutive and inducible gene expression tools tailored for Streptomyces. Of particular note, the fully activated oxytetracycline-inducible gene expression system containing an engineered kasOp* promoter (OK) exhibited nearly an order of magnitude greater activity compared to the well-established high-strength promoter kasOp* under the tested conditions, establishing itself as a powerful gene expression system for Streptomyces. This strategy is expected to be applicable in modifying various other promoters to acquire robust gene expression tools, as evidenced by the enhancement observed in the other two promoters, PL and P21 in this study. Moreover, the effectiveness of these tools has been demonstrated through the augmented production of transglutaminase and daptomycin. The gene expression tools established in this study, alongside those anticipated in forthcoming research, are positioned to markedly advance pathway engineering and synthetic biology investigations in Streptomyces and other microbial strains.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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