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用于酶的连续进化的系统和方法。

Systems and Methods for Continuous Evolution of Enzymes.

机构信息

School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138, USA E-mail: Dr David A. Weitz: E-mail: Dr. Karla Milcic.

University of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000, Belgrade, Serbia.

出版信息

Chemistry. 2024 Aug 1;30(43):e202400880. doi: 10.1002/chem.202400880. Epub 2024 Jul 12.

Abstract

Directed evolution generates novel biomolecules with desired functions by iteratively diversifying the genetic sequence of wildtype biomolecules, relaying the genetic information to the molecule with function, and selecting the variants that progresses towards the properties of interest. While traditional directed evolution consumes significant labor and time for each step, continuous evolution seeks to automate all steps so directed evolution can proceed with minimum human intervention and dramatically shortened time. A major application of continuous evolution is the generation of novel enzymes, which catalyze reactions under conditions that are not favorable to their wildtype counterparts, or on altered substrates. The challenge to continuously evolve enzymes lies in automating sufficient, unbiased gene diversification, providing selection for a wide array of reaction types, and linking the genetic information to the phenotypic function. Over years of development, continuous evolution has accumulated versatile strategies to address these challenges, enabling its use as a general tool for enzyme engineering. As the capability of continuous evolution continues to expand, its impact will increase across various industries. In this review, we summarize the working mechanisms of recently developed continuous evolution strategies, discuss examples of their applications focusing on enzyme evolution, and point out their limitations and future directions.

摘要

定向进化通过反复多样化野生型生物分子的遗传序列,将遗传信息传递给具有功能的分子,并选择朝着感兴趣的特性进化的变体,从而产生具有所需功能的新型生物分子。虽然传统的定向进化在每个步骤都需要大量的人力和时间,但连续进化旨在将所有步骤自动化,以便定向进化可以在最小的人工干预和显著缩短的时间内进行。连续进化的一个主要应用是生成新型酶,这些酶可以在不利于其野生型对应物的条件下或在改变的底物上催化反应。连续进化酶的挑战在于自动化足够的、无偏的基因多样化,为广泛的反应类型提供选择,并将遗传信息与表型功能联系起来。经过多年的发展,连续进化已经积累了多种策略来应对这些挑战,使其成为酶工程的通用工具。随着连续进化能力的不断扩大,它将在各个行业产生更大的影响。在这篇综述中,我们总结了最近开发的连续进化策略的工作机制,讨论了它们在酶进化方面的应用实例,并指出了它们的局限性和未来方向。

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