Continuous Evolution of Proteins In Vivo

Alon Wellner, Arjun Ravikumar, Chang C. Liu
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引用次数: 2

Abstract

Directed evolution is a powerful approach for engineering new biomolecular and cellular functions [1–3]. In contrast to rational design approaches, directed evolution exploits diversity and evolution to shape the behavior of biological matter by applying the Darwinian cycle of mutation, selection, and amplification of genes and genomes. By doing so, the field of directed evolution has generated important insights into the evolutionary process [4–6] as well as useful RNAs, proteins, and systems with wide-ranging applications across biotechnology and medicine [7–11]. To mimic the evolutionary process, classical directed evolution approaches carry out cycles of ex vivo diversification on genes of interest (GOIs), transformation of the resulting gene libraries into cells, and selection of the desired function (Figure 1.1). Each iteration of this cycle is defined as a round of evolution, and as selection stringency increases over rounds, either automatically through competition or manually through changing conditions (or both), this process can lead GOIs closer and closer to the desired function. This overall process makes practical sense for a number of reasons, especially for the goal of protein engineering (i.e. GOI encodes a protein). First, ex vivo diversification is appropriate, because test tube molecular biology techniques such as DNA shuffling, site-directed saturation mutagenesis, and error-prone (ep) polymerase chain reaction (PCR) [2] are capable of generating exceptionally high and precise levels of sequence diversity for any GOI. Second, transforming diversified libraries of the GOI into cells is appropriate, because each GOI variant needs to be translated into a protein in order to express its function, and cells, especially model microbes, are naturally robust hosts for protein expression. Third, carrying out selection inside cells is appropriate, because (i) cells automatically maintain the genotype–phenotype connection between the GOI and expressed protein that is necessary for amplification of desired variants,
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蛋白质在体内的持续进化
定向进化是设计新的生物分子和细胞功能的有力途径[1-3]。与理性设计方法相反,定向进化利用多样性和进化,通过应用达尔文的基因和基因组的突变、选择和扩增循环来塑造生物物质的行为。通过这样做,定向进化领域已经产生了对进化过程的重要见解[4-6],以及在生物技术和医学领域广泛应用的有用rna,蛋白质和系统[7-11]。为了模拟进化过程,经典的定向进化方法对感兴趣的基因(goi)进行体外多样化循环,将产生的基因库转化为细胞,并选择所需的功能(图1.1)。这个循环的每次迭代都被定义为一轮进化,随着选择严格程度的增加,要么通过竞争自动增加,要么通过人工改变条件(或两者都有),这个过程可以使goi越来越接近期望的功能。由于许多原因,这整个过程具有实际意义,特别是对于蛋白质工程的目标(即GOI编码蛋白质)。首先,离体多样化是合适的,因为试管分子生物学技术,如DNA洗选、定点饱和诱变和易出错(ep)聚合酶链反应(PCR)[2]能够为任何GOI产生极高和精确的序列多样性水平。其次,将多种GOI文库转化为细胞是合适的,因为每个GOI变体都需要翻译成一种蛋白质才能表达其功能,而细胞,尤其是模式微生物,是蛋白质表达的天然健壮宿主。第三,在细胞内进行选择是合适的,因为(i)细胞自动维持GOI和表达蛋白之间的基因型-表型联系,这是扩增所需变体所必需的;
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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