Unlocking Green Biomanufacturing Potential: Superior Heterologous Gene Expression with a T7 Integration Overexpression System in Bacillus subtilis.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Zhi-Yuan Yao, Min-Jun Yu, Qu-Quan Li, Jin-Song Gong, Peng Zhang, Jia-Yu Jiang, Chang Su, Guoqiang Xu, Bing-Yi Jia, Zheng-Hong Xu, Jin-Song Shi
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引用次数: 0

Abstract

Industrial biotechnology employs cells for producing valuable products and serving as biocatalysts sustainably, addressing resource, energy, and environmental issues. Bacillus subtilis is a preferred host for creating microbial chassis cells and producing industrial enzymes and functional nutritional products. In this study, a dual-module T7 integration expression system in B. subtilis was established. The first module, driven by the T7 RNA polymerase, was integrated into the genome via the CRISPR/Cas9 system. Another module responsible for expression control was systematically integrated into 28 discrete chromosomal loci and the impact of different genomic positions on gene expression was explored, resulting in a high-intensity integrated expression system. Furthermore, by modifying the LacI repressor factor for biological regulation, we achieved a strong expression intensity without the inducer addition. This system was successfully used to express phospholipase D and hyaluronic acid lyase, resulting in extracellular enzyme activities of 339.12 U/mL and 2.60 × 104 U/mL, respectively. Additionally, by exclusively targeting the HA gene cluster for expression, a production yield of 6.86 g/L was achieved on a 5 L fermentation scale. The system eliminates the use of antibiotics and inducers, offering a controllable, efficient, and promising gene expression regulation tool in B. subtilis, enhancing its potential for biomanufacturing applications.

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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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