高通量筛选技术在菌种进化中的研究进展
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摘要
菌种进化工程是绿色生物制造的重要策略,利用高效的高通量筛选方法和技术可以快速地获得理想的实用菌株。针对菌种进化工程中的高通量筛选方法,本文重点综述了基于颜色或荧光、基于细胞生长、基于生物传感器以及基于液滴微流体平台等4个方面的高通量筛选技术的重要进展,同时也介绍了各种高通量筛选技术的应用范围和特点,为研究人员从不同进化文库中获得生理特性或者代谢能力显著提高的目标菌株提供了理论指导,极大地提高进化文库的筛选效率,降低了菌株筛选的时间和成本。最后展望了人工智能、合成生物学以及生物信息学的发展对高通量筛选技术的重要影响,以期提高高通量筛选技术的精度、效率和应用范围,进而加速菌种进化过程和工业化进程。
Strain evolution engineering is an important strategy for green bio-manufacturing. Highthroughput screening methods and techniques can be used to quickly obtain ideal strains. In view of the high-throughput screening methods in strain evolution engineering, this paper focuses on the important advances in high-throughput screening techniques based on color or fluorescence, cell growth, biosensor,and droplet microfluidic platforms. At the same time, the application range and characteristics of various high-throughput screening technologies were introduced, providing theoretical guidance for researchers to obtain ideal strain having physiological or metabolic capacity significantly improved from different evolutionary libraries, so the screening efficiency can be greatly improved and the time and cost can be reduced. Finally, to the future studies shall focus on the important influence of the development of artificial intelligence, synthetic biology and bioinformatics on high-throughput screening technology, in order to improve the accuracy, efficiency and application range of high-throughput screening technology,and accelerate the evolution process and industrialization process of strains.
Strain evolution engineering is an important strategy for green bio-manufacturing. Highthroughput screening methods and techniques can be used to quickly obtain ideal strains. In view of the high-throughput screening methods in strain evolution engineering, this paper focuses on the important advances in high-throughput screening techniques based on color or fluorescence, cell growth, biosensor,and droplet microfluidic platforms. At the same time, the application range and characteristics of various high-throughput screening technologies were introduced, providing theoretical guidance for researchers to obtain ideal strain having physiological or metabolic capacity significantly improved from different evolutionary libraries, so the screening efficiency can be greatly improved and the time and cost can be reduced. Finally, to the future studies shall focus on the important influence of the development of artificial intelligence, synthetic biology and bioinformatics on high-throughput screening technology, in order to improve the accuracy, efficiency and application range of high-throughput screening technology,and accelerate the evolution process and industrialization process of strains.
引文
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[32]CHOU H H,KEASLING J D.Programming adaptive control to evolve increased metabolite production[J].Nature Communications,2013,4:2595.
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