Plasmid-Stabilizing Strains for Antibiotic-Free Chemical Fermentation.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-09 DOI:10.1021/acssynbio.4c00241
Yingjie Guo, Yan Xia, Zeyu Liang, Shenyan Yang, Shuyuan Guo, Lichao Sun, Yi-Xin Huo
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Abstract

Plasmid-mediated antibiotic-free fermentation holds significant industrial potential. However, the requirements for host elements and energy during plasmid inheritance often cause cell burden, leading to plasmid loss and reduced production. The stable maintenance of plasmids is primarily achieved through a complex mechanism, making it challenging to rationally design plasmid-stabilizing strains and characterize the associated genetic factors. In this study, we introduced a fluorescence-based high-throughput method and successfully screened plasmid-stabilizing strains from the genomic fragment-deletion strains of Escherichia coli MG1655 and Bacillus subtilis 168. The application of EcΔ50 in antibiotic-free fermentation increased the alanine titer 2.9 times. The enhanced plasmid stability in EcΔ50 was attributed to the coordinated deletion of genes involved in plasmid segregation and replication control, leading to improved plasmid maintenance and increased plasmid copy number. The increased plasmid stability of BsΔ44 was due to the deletion of the phage SPP1 surface receptor gene yueB, resulting in minimized sporulation, improved plasmid segregational stability and host adaptation. Antibiotic-free fermentation results showed that strain BsΔyueB exhibited a 61.99% higher acetoin titer compared to strain Bs168, reaching 3.96 g/L. When used for the fermentation of the downstream product, 2,3-butanediol, strain BsΔyueB achieved an 80.63% higher titer than Bs168, reaching 14.94 g/L using rich carbon and nitrogen feedstocks. Overall, our work provided a plasmid-stabilizing chassis for E. coli and B. subtilis, highlighting their potential for antibiotic-free fermentation of valuable products and metabolic engineering applications.

Abstract Image

用于无抗生素化学发酵的质粒稳定菌株。
质粒介导的无抗生素发酵具有巨大的工业潜力。然而,质粒遗传过程中对宿主元素和能量的需求往往会造成细胞负担,导致质粒丢失和产量降低。质粒的稳定维持主要是通过复杂的机制实现的,因此合理设计质粒稳定菌株并鉴定相关遗传因子具有挑战性。在这项研究中,我们引入了一种基于荧光的高通量方法,成功地从大肠杆菌 MG1655 和枯草芽孢杆菌 168 的基因组片段缺失菌株中筛选出了质粒稳定菌株。在无抗生素发酵中应用 EcΔ50 可使丙氨酸滴度提高 2.9 倍。EcΔ50中质粒稳定性的增强归因于参与质粒分离和复制控制的基因的协调性删除,从而改善了质粒的维持并增加了质粒拷贝数。BsΔ44 的质粒稳定性提高是由于删除了噬菌体 SPP1 表面受体基因 yueB,从而减少了孢子的产生,提高了质粒分离稳定性和宿主适应性。无抗生素发酵结果表明,与菌株 Bs168 相比,菌株 BsΔyueB 的乙炔苷滴度提高了 61.99%,达到 3.96 克/升。当用于下游产品 2,3-丁二醇的发酵时,菌株 BsΔyueB 的滴度比 Bs168 高出 80.63%,在使用丰富的碳和氮原料时达到 14.94 克/升。总之,我们的工作为大肠杆菌和枯草杆菌提供了一种质粒稳定底盘,凸显了它们在无抗生素发酵有价值产品和代谢工程应用方面的潜力。
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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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