Carbon Negative Synthesis of Amino Acids Using a Cell-Free-Based Biocatalyst.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Shaafique Chowdhury, Ray Westenberg, Kimberly Wennerholm, Ryan A L Cardiff, Alexander S Beliaev, Vincent Noireaux, James M Carothers, Pamela Peralta-Yahya
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引用次数: 0

Abstract

Biological systems can directly upgrade carbon dioxide (CO2) into chemicals. The CO2 fixation rate of autotrophic organisms, however, is too slow for industrial utility, and the breadth of engineered metabolic pathways for the synthesis of value-added chemicals is too limited. Biotechnology workhorse organisms with extensively engineered metabolic pathways have recently been engineered for CO2 fixation. Yet, their low carbon fixation rate, compounded by the fact that living organisms split their carbon between cell growth and chemical synthesis, has led to only cell growth with no chemical synthesis achieved to date. Here, we engineer a lysate-based cell-free expression (CFE)-based multienzyme biocatalyst for the carbon negative synthesis of the industrially relevant amino acids glycine and serine from CO2 equivalents─formate and bicarbonate─and ammonia. The formate-to-serine biocatalyst leverages tetrahydrofolate (THF)-dependent formate fixation, reductive glycine synthesis, serine synthesis, and phosphite dehydrogenase-dependent NAD(P)H regeneration to convert 30% of formate into serine and glycine, surpassing the previous 22% conversion using a purified enzyme system. We find that (1) the CFE-based biocatalyst is active even after 200-fold dilution, enabling higher substrate loading and product synthesis without incurring additional cell lysate cost, (2) NAD(P)H regeneration is pivotal to driving forward reactions close to thermodynamic equilibrium, (3) balancing the ratio of the formate-to-serine pathway genes added to the CFE is key to improving amino acid synthesis, and (4) efficient THF recycling enables lowering the loading of this cofactor, reducing the cost of the CFE-based biocatalyst. To our knowledge, this is the first synthesis of amino acids that can capture CO2 equivalents for the carbon negative synthesis of amino acids using a CFE-based biocatalyst. Looking ahead, the CFE-based biocatalyst process could be extended beyond serine to pyruvate, a key intermediate, to access a variety of chemicals from aromatics and terpenes to alcohols and polymers.

使用无细胞生物催化剂负碳合成氨基酸。
生物系统可以直接将二氧化碳(CO2)转化为化学品。然而,自养生物的二氧化碳固定速度太慢,无法用于工业用途,而且用于合成高附加值化学品的工程代谢途径的广度也太有限。最近,生物技术工作母机生物的新陈代谢途径被广泛改造,以实现二氧化碳固定。然而,它们的碳固定率很低,再加上生物体将碳分成细胞生长和化学合成两部分,因此迄今为止只能实现细胞生长,而无法进行化学合成。在这里,我们设计了一种基于裂解物的无细胞表达(CFE)多酶生物催化剂,用于从二氧化碳当量(甲酸和碳酸氢盐)和氨中负碳合成工业相关氨基酸甘氨酸和丝氨酸。甲酸转化丝氨酸生物催化剂利用四氢叶酸(THF)依赖性甲酸固定、还原性甘氨酸合成、丝氨酸合成和亚磷酸脱氢酶依赖性 NAD(P)H 再生,将 30% 的甲酸转化为丝氨酸和甘氨酸,超过了之前使用纯化酶系统的 22% 转化率。我们发现:(1) 基于 CFE 的生物催化剂即使在稀释 200 倍后仍具有活性,从而能够在不增加细胞裂解液成本的情况下实现更高的底物负载和产物合成;(2) NAD(P)H 再生对于推动反应接近热力学平衡至关重要、(3) 平衡添加到 CFE 中的格式-丝氨酸途径基因的比例是改善氨基酸合成的关键,以及 (4) 高效的 THF 循环可降低这种辅助因子的负荷,从而降低基于 CFE 的生物催化剂的成本。据我们所知,这是首次使用基于 CFE 的生物催化剂合成氨基酸,可以捕获二氧化碳当量,实现氨基酸的负碳合成。展望未来,基于 CFE 的生物催化剂工艺可以从丝氨酸扩展到丙酮酸(一种关键的中间体),从而获得从芳香烃和萜烯到醇和聚合物等多种化学物质。
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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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