Metabolic Engineering of E. coli for Enhanced Diols Production from Acetate

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Luca Ricci*, Xuecong Cen, Yuexuan Zu, Giacomo Antonicelli, Zhen Chen, Debora Fino, Fabrizio C. Pirri, Gregory Stephanopoulos*, Benjamin M. Woolston* and Angela Re*, 
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引用次数: 0

Abstract

Effective employment of renewable carbon sources is highly demanded to develop sustainable biobased manufacturing. Here, we developed Escherichia coli strains to produce 2,3-butanediol and acetoin (collectively referred to as diols) using acetate as the sole carbon source by stepwise metabolic engineering. When tested in fed-batch experiments, the strain overexpressing the entire acetate utilization pathway was found to consume acetate at a 15% faster rate (0.78 ± 0.05 g/g/h) and to produce a 35% higher diol titer (1.16 ± 0.01 g/L) than the baseline diols-producing strain. Moreover, singularly overexpressing the genes encoding alternative acetate uptake pathways as well as alternative isoforms of genes in the malate-to-pyruvate pathway unveiled that leveraging ackA-pta and maeA is more effective in enhancing acetate consumption and diols production, compared to acs and maeB. Finally, the increased substrate consumption rate and diol production obtained in flask-based experiments were confirmed in bench-scale bioreactors operated in fed-batch mode. Consequently, the highest titer of 1.56 g/L achieved in this configuration increased by over 30% compared to the only other similar effort carried out so far.

有效利用可再生碳源是发展可持续生物基制造业的迫切需要。在这里,我们通过逐步代谢工程技术,培育出了能以醋酸盐为唯一碳源生产 2,3-丁二醇和乙炔醛(统称二元醇)的大肠杆菌菌株。在喂养批次实验中进行测试时发现,过表达整个醋酸利用途径的菌株消耗醋酸的速度比基准二元醇生产菌株快 15%(0.78 ± 0.05 g/g/h),生产的二元醇滴度(1.16 ± 0.01 g/L)比基准二元醇生产菌株高 35%。此外,单一过表达编码替代醋酸吸收途径的基因以及苹果酸-丙酮酸途径中基因的替代异构体揭示出,与 acs 和 maeB 相比,利用 ackA-pta 和 maeA 能更有效地提高醋酸消耗量和二元醇产量。最后,在基于烧瓶的实验中获得的底物消耗率和二元醇产量的提高在以喂料批次模式运行的台式生物反应器中得到了证实。因此,与迄今为止进行的唯一一次类似实验相比,该配置实现的最高滴度(1.56 克/升)提高了 30% 以上。
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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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