Cell-Free Systems Biology: Characterizing Central Metabolism of Clostridium thermocellum with a Three-Enzyme Cascade Reaction.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-11-15 Epub Date: 2024-10-10 DOI:10.1021/acssynbio.4c00405
S Bilal Jilani, Markus Alahuhta, Yannick J Bomble, Daniel G Olson
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Abstract

Genetic approaches have been traditionally used to understand microbial metabolism, but this process can be slow in nonmodel organisms due to limited genetic tools. An alternative approach is to study metabolism directly in the cell lysate. This avoids the need for genetic tools and is routinely used to study individual enzymatic reactions but is not generally used to study systems-level properties of metabolism. Here we demonstrate a new approach that we call "cell-free systems biology", where we use well-characterized enzymes and multienzyme cascades to serve as sources or sinks of intermediate metabolites. This allows us to isolate subnetworks within metabolism and study their systems-level properties. To demonstrate this, we worked with a three-enzyme cascade reaction that converts pyruvate to 2,3-butanediol. Although it has been previously used in cell-free systems, its pH dependence was not well characterized, limiting its utility as a sink for pyruvate. We showed that improved proton accounting allowed better prediction of pH changes and that active pH control allowed 2,3-butanediol titers of up to 2.1 M (189 g/L) from acetoin and 1.6 M (144 g/L) from pyruvate. The improved proton accounting provided a crucial insight that preventing the escape of CO2 from the system largely eliminated the need for active pH control, dramatically simplifying our experimental setup. We then used this cascade reaction to understand limits to product formation in Clostridium thermocellum, an organism with potential applications for cellulosic biofuel production. We showed that the fate of pyruvate is largely controlled by electron availability and that reactions upstream of pyruvate limit overall product formation.

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无细胞系统生物学:利用三酶级联反应表征热梭菌的中央代谢。
遗传学方法历来被用来了解微生物的新陈代谢,但由于遗传学工具有限,这一过程在非模式生物中可能比较缓慢。另一种方法是直接研究细胞裂解物中的新陈代谢。这种方法无需基因工具,通常用于研究单个酶促反应,但一般不用于研究代谢的系统级特性。在这里,我们展示了一种被称为 "无细胞系统生物学 "的新方法,即利用表征良好的酶和多酶级联作为中间代谢产物的源或汇。这样,我们就能在新陈代谢中分离出子网络,并研究其系统级特性。为了证明这一点,我们使用了将丙酮酸转化为 2,3-丁二醇的三酶级联反应。虽然该反应以前曾在无细胞系统中使用过,但其对 pH 值的依赖性并没有得到很好的表征,从而限制了它作为丙酮酸汇的用途。我们的研究表明,质子核算的改进可以更好地预测 pH 值的变化,而积极的 pH 值控制可以使乙炔的 2,3-丁二醇滴度达到 2.1 M(189 克/升),丙酮酸的滴度达到 1.6 M(144 克/升)。质子核算的改进提供了一个重要的启示,即防止二氧化碳从系统中逸出在很大程度上消除了对活性 pH 控制的需要,从而大大简化了我们的实验装置。然后,我们利用这一级联反应来了解热梭菌(一种具有纤维素生物燃料生产应用潜力的生物)中产物形成的限制。我们发现,丙酮酸的去向在很大程度上受电子可用性的控制,而丙酮酸的上游反应限制了整个产物的形成。
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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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