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先进的基因组编辑技术能够快速、大规模地产生遗传变异,从而进行菌株工程和合成生物学研究。

Advanced genome-editing technologies enable rapid and large-scale generation of genetic variants for strain engineering and synthetic biology.

机构信息

Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology (GTIIT), Shantou, Guangdong 515063, China.

Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology (GTIIT), Shantou, Guangdong 515063, China; Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion-Israel Institute of Technology, Shantou, Guangdong 515063, China; The Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.

出版信息

Curr Opin Microbiol. 2022 Oct;69:102175. doi: 10.1016/j.mib.2022.102175. Epub 2022 Jul 6.

Abstract

Targeted genome editing not only improves our understanding of fundamental rules in life sciences but also affords us versatile toolkits to improve industrially relevant phenotypes in various host cells. In this review, we summarize the recent endeavor to develop efficient genome-editing tools, and emphasize the utility of these tools to generate massive scale of genetic variants. We categorize these tools into traditional recombination-based tools, and more advanced CRISPR as well as RNA-based genome-editing tools. This diverse panel of sophisticated tools has been applied to accelerate strain engineering, upgrade biomanufacturing, and customize biosensing. In parallel with high-throughput phenotyping and AI-based optimization algorithms, we envision that genome-editing technologies will become a driving force to automate and streamline biological engineering, and empower us to address critical challenges in health, environment, energy, and sustainability.

摘要

靶向基因组编辑不仅增进了我们对生命科学基本规律的理解,还为我们提供了多种多样的工具来改善各种宿主细胞中与工业相关的表型。在这篇综述中,我们总结了开发高效基因组编辑工具的最新进展,并强调了这些工具在产生大规模遗传变异方面的实用性。我们将这些工具分为传统的基于重组的工具,以及更先进的 CRISPR 和 RNA 为基础的基因组编辑工具。这一系列复杂的工具已被应用于加速菌株工程、升级生物制造以及定制生物传感。随着高通量表型分析和基于人工智能的优化算法的发展,我们可以预见,基因组编辑技术将成为自动化和简化生物工程的驱动力,并使我们能够应对健康、环境、能源和可持续性方面的关键挑战。

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