选择(遗传算法)
定向分子进化
定向进化
生物进化
适应性进化
适应(眼睛)
实验进化
共同进化
进化生物学
生物
检验
功能(生物学)
健身景观
收敛演化
生态学
计算机科学
人工智能
遗传学
基因
突变体
系统发育树
社会学
人口
人口学
神经科学
作者
Álvaro Sánchez,Jean C. C. Vila,Chang‐Yu Chang,Juan Díaz‐Colunga,Sylvie Estrela,María Rebolleda‐Gómez
标识
DOI:10.1146/annurev-biophys-101220-072829
摘要
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.
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