Directed Evolution of Microbial Communities.

IF 10.4 1区 生物学 Q1 BIOPHYSICS
Álvaro Sánchez, Jean C. C. Vila, Chang-Yu Chang, Juan Díaz-Colunga, Sylvie Estrela, María Rebolleda-Gómez
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引用次数: 43

Abstract

Directed evolution is a form of artificial selection that has been used for decades to find biomolecules and organisms with new or enhanced functional traits. Directed evolution can be conceptualized as a guided exploration of the genotype-phenotype map, where genetic variants with desirable phenotypes are first selected and then mutagenized to search the genotype space for an even better mutant. In recent years, the idea of applying artificial selection to microbial communities has gained momentum. In this article, we review the main limitations of artificial selection when applied to large and diverse collectives of asexually dividing microbes and discuss how the tools of directed evolution may be deployed to engineer communities from the top down. We conceptualize directed evolution of microbial communities as a guided exploration of an ecological structure-function landscape and propose practical guidelines for navigating these ecological landscapes. Expected final online publication date for the Annual Review of Biophysics, Volume 50 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
微生物群落的定向进化。
定向进化是一种人工选择形式,几十年来一直被用来寻找具有新的或增强的功能特征的生物分子和生物体。定向进化可以被概念化为对基因型-表型图谱的引导探索,其中首先选择具有理想表型的遗传变体,然后进行诱变,以在基因型空间中搜索更好的突变体。近年来,将人工选择应用于微生物群落的想法得到了发展。在这篇文章中,我们回顾了人工选择在应用于大规模和多样化的无性分裂微生物群体时的主要局限性,并讨论了如何使用定向进化工具自上而下地设计群落。我们将微生物群落的定向进化概念化为对生态结构-功能景观的引导探索,并提出了驾驭这些生态景观的实用指南。《生物物理年度评论》第50卷预计最终在线出版日期为2021年5月。请参阅http://www.annualreviews.org/page/journal/pubdates用于修订估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annual Review of Biophysics
Annual Review of Biophysics 生物-生物物理
CiteScore
21.00
自引率
0.00%
发文量
25
期刊介绍: The Annual Review of Biophysics, in publication since 1972, covers significant developments in the field of biophysics, including macromolecular structure, function and dynamics, theoretical and computational biophysics, molecular biophysics of the cell, physical systems biology, membrane biophysics, biotechnology, nanotechnology, and emerging techniques.
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