模块化蛋白在大肠杆菌中表达mocloo兼容载体的构建与表征

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Jochem R. Nielsen*, Michael J. Lewis and Wei E. Huang*, 
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引用次数: 0

摘要

克隆方法是合成生物学研究的基础。产生具有可预测蛋白表达水平的定制DNA结构的能力对生物学工程至关重要。金门克隆是一种模块化克隆(MoClo)技术,可以实现快速可靠的基因部分的一锅组装。在本研究中,我们通过构建和表征兼容的低拷贝(p15A)和中拷贝(pBR322)目标载体,扩展了现有的MoClo工具包。与现有的高拷贝载体一起,这些主干使蛋白质表达范围覆盖标准化荧光输出的500倍差异。我们进一步表征了每个载体的表达谱和负荷谱,并展示了它们在优化生长偶联酶表达方面的应用。利用随机金门组装确定了大肠杆菌乙醇依赖生长的adhE(编码乙醇脱氢酶)的最佳表达,创建了具有不同表达强度和质粒拷贝数的多样化构建库。通过选择性生长实验,我们发现相对较低的adhE表达水平促进了乙醇作为唯一碳源的最佳生长,这表明在MoClo载体库中添加低拷贝载体的重要性。本研究强调了在选择实验中改变载体拷贝数的重要性,以平衡表达水平和负担,确保准确识别最佳生长条件。在这项工作中开发的载体可以通过Addgene(目录# 217582-217609)公开获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction and Characterization of MoClo-Compatible Vectors for Modular Protein Expression in E. coli

Cloning methods are fundamental to synthetic biology research. The capability to generate custom DNA constructs exhibiting predictable protein expression levels is crucial to the engineering of biology. Golden Gate cloning, a modular cloning (MoClo) technique, enables rapid and reliable one-pot assembly of genetic parts. In this study, we expand on the existing MoClo toolkits by constructing and characterizing compatible low- (p15A) and medium-copy (pBR322) destination vectors. Together with existing high-copy vectors, these backbones enable a protein expression range covering a 500-fold difference in normalized fluorescence output. We further characterize the expression- and burden profiles of each vector and demonstrate their use for the optimization of growth-coupled enzyme expression. The optimal expression of adhE (encoding alcohol dehydrogenase) for ethanol-dependent growth of Escherichia coli is determined using randomized Golden Gate Assembly, creating a diverse library of constructs with varying expression strengths and plasmid copy numbers. Through selective growth experiments, we show that relatively low expression levels of adhE facilitated optimal growth using ethanol as the sole carbon source, demonstrating the importance of adding low-copy vectors to the MoClo vector repertoire. This study emphasizes the importance of varying vector copy numbers in selection experiments to balance expression levels and burden, ensuring accurate identification of optimal conditions for growth. The vectors developed in this work are publicly available via Addgene (catalog #217582–217609).

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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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