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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Published on: December 15, 2017
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[Strategies and tools for metabolic engineering in Bacillus subtilis]
Xueqin Lü1,2, Yaokang Wu1,2, Lu Lin1,2
1Science Center for Future Foods, Jiangnan University, Wuxi 214122, Jiangsu, China.
Summary
Bacillus subtilis is a key industrial strain for metabolic engineering, enabling efficient biological product synthesis. This review covers advancements in engineering this bacterium for enhanced production.
Area of Science:
- Microbiology
- Metabolic Engineering
- Synthetic Biology
Background:
- Bacillus subtilis is a non-pathogenic industrial strain with high extracellular protein secretion and no codon preference.
- It is a widely utilized model organism in metabolic engineering for biological product synthesis.
- Advances in molecular biology and genetic engineering have enabled sophisticated B. subtilis cell construction.
Purpose of the Study:
- To review recent progress in engineering Bacillus subtilis as a chassis for biological production.
- To summarize applications of engineered B. subtilis in producing valuable compounds.
- To provide insights into future research directions for B. subtilis.
Main Methods:
- Promoter engineering for controlled gene expression.
- Gene editing techniques for precise genetic modification.
- Genetic circuit design for complex metabolic regulation.
- Cofactor engineering to optimize metabolic pathways.
- Pathway enzyme assembly for efficient biosynthesis.
Main Results:
- Significant advancements have been made in optimizing B. subtilis through various engineering strategies.
- Engineered B. subtilis strains demonstrate enhanced efficiency in synthesizing diverse biological products.
- The review consolidates current knowledge on B. subtilis metabolic engineering.
Conclusions:
- Bacillus subtilis is a highly versatile and powerful platform for industrial biotechnology.
- Continued research in genetic engineering and synthetic biology will further unlock its potential.
- Future directions include developing more sophisticated genetic tools and expanding its application scope.
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