Metabolic Profile of the Genome-Reduced Bacillus subtilis Strain IIG-Bs-27-39: An Attractive Chassis for Recombinant Protein Production

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-07-09 DOI:10.1021/acssynbio.4c00254
Rocío Aguilar Suárez, Michael Kohlstedt, Ayşegül Öktem, Jolanda Neef, Yuzheng Wu, Kaiya Ikeda, Ken-Ichi Yoshida, Josef Altenbuchner, Christoph Wittmann and Jan Maarten van Dijl*, 
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Abstract

The Gram-positive bacterium Bacillus subtilis is extensively used in the industry for the secretory production of proteins with commercial value. To further improve its performance, this microbe has been the subject of extensive genome engineering efforts, especially the removal of large genomic regions that are dispensable or even counterproductive. Here, we present the genome-reduced B. subtilis strain IIG-Bs-27-39, which was obtained through systematic deletion of mobile genetic elements, as well as genes for extracellular proteases, sporulation, flagella formation, and antibiotic production. Different from previously characterized genome-reduced B. subtilis strains, the IIG-Bs-27-39 strain was still able to grow on minimal media. We used this feature to benchmark strain IIG-Bs-27-39 against its parental strain 168 with respect to heterologous protein production and metabolic parameters during bioreactor cultivation. The IIG-Bs-27-39 strain presented superior secretion of difficult-to-produce staphylococcal antigens, as well as higher specific growth rates and biomass yields. At the metabolic level, changes in byproduct formation and internal amino acid pools were observed, whereas energetic parameters such as the ATP yield, ATP/ADP levels, and adenylate energy charge were comparable between the two strains. Intriguingly, we observed a significant increase in the total cellular NADPH level during all tested conditions and increases in the NAD+ and NADP(H) pools during protein production. This indicates that the IIG-Bs-27-39 strain has more energy available for anabolic processes and protein production, thereby providing a link between strain physiology and production performance. On this basis, we conclude that the genome-reduced strain IIG-Bs-27-39 represents an attractive chassis for future biotechnological applications.

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基因组还原枯草芽孢杆菌菌株 IIG-Bs-27-39 的代谢概况:重组蛋白质生产的诱人底盘
革兰氏阳性细菌枯草芽孢杆菌(Bacillus subtilis)在工业中被广泛用于分泌性生产具有商业价值的蛋白质。为了进一步提高其性能,这种微生物一直是大量基因组工程努力的对象,特别是去除可有可无甚至适得其反的大基因组区域。在这里,我们展示了基因组还原的枯草杆菌菌株 IIG-Bs-27-39,它是通过系统性地删除移动遗传元件以及胞外蛋白酶、孢子、鞭毛形成和抗生素生产基因而获得的。与之前的基因组还原枯草杆菌菌株不同,IIG-Bs-27-39 菌株仍能在最小培养基上生长。我们利用这一特点,将 IIG-Bs-27-39 菌株与其亲本菌株 168 在生物反应器培养过程中的异源蛋白产量和代谢参数进行了比较。IIG-Bs-27-39 菌株能更好地分泌难以生产的葡萄球菌抗原,并具有更高的特定生长率和生物量产量。在代谢层面,我们观察到副产品形成和内部氨基酸池发生了变化,而 ATP 产量、ATP/ADP 水平和腺苷酸能量电荷等能量参数在两株菌株之间具有可比性。有趣的是,在所有测试条件下,我们都观察到细胞 NADPH 总量显著增加,而在蛋白质生产过程中,NAD+ 和 NADP(H) 池也有所增加。这表明,IIG-Bs-27-39 菌株有更多的能量可用于合成代谢过程和蛋白质生产,从而提供了菌株生理机能与生产性能之间的联系。在此基础上,我们得出结论,基因组还原菌株 IIG-Bs-27-39 是未来生物技术应用的一个极具吸引力的底盘。
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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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