Synthetic Genetic Elements Enable Rapid Characterization of Inorganic Carbon Uptake Systems in Cupriavidus necator H16.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-03-21 Epub Date: 2025-03-06 DOI:10.1021/acssynbio.4c00869
Akira K Nakamura, Emily M Fulk, Christopher W Johnson, Farren J Isaacs
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引用次数: 0

Abstract

Cupriavidus necator H16 is a facultative chemolithotroph capable of using CO2 as a carbon source, making it a promising organism for carbon-negative biomanufacturing of petroleum-based product alternatives. In contrast to model microbes, genetic engineering technologies are limited in C. necator, constraining its utility in basic and applied research. Here, we developed a genome engineering technology to efficiently mobilize, integrate, and express synthetic genetic elements (SGEs) in C. necator. We tested the chromosomal expression of four inducible promoters to optimize an engineered genetic landing pad for tunable gene expression. To demonstrate utility, we employed the SGE system to design, mobilize, and express eight heterologous inorganic carbon uptake pathways in C. necator. We demonstrated all inorganic carbon uptake systems' upregulated intracellular bicarbonate concentrations under heterotrophic conditions. This work establishes the utility of the SGE strategy for expedited integration and tunable expression of heterologous pathways, and enhances intracellular bicarbonate concentrations in C. necator.

合成遗传元件使铜(Cupriavidus necator) H16无机碳吸收系统的快速表征成为可能。
Cupriavidus necator H16是一种兼性化能营养生物,能够利用二氧化碳作为碳源,这使它成为一种有前途的生物负碳生物制造石油基产品替代品。与模式微生物相比,基因工程技术在C. necator中的应用受到限制,限制了其在基础和应用研究中的应用。在此,我们开发了一种基因组工程技术来有效地调动、整合和表达C. necator中的合成遗传元件(SGEs)。我们测试了四种诱导启动子的染色体表达,以优化可调基因表达的工程基因着陆点。为了证明其实用性,我们利用SGE系统设计、动员和表达了C. necator中8种异源无机碳吸收途径。我们证明了所有无机碳吸收系统在异养条件下上调细胞内碳酸氢盐浓度。这项工作建立了SGE策略在加速异种通路整合和可调表达方面的实用性,并提高了C. necator细胞内碳酸氢盐浓度。
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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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