Department of Biomolecular Chemistry, Kyoto Prefectural University, Hangi-cho, Shimogamo, Sakyo-ku, Kyoto, 606-8522, Japan.
Department of Biomolecular Chemistry, Kyoto Prefectural University, Hangi-cho, Shimogamo, Sakyo-ku, Kyoto, 606-8522, Japan.
Enzyme Microb Technol. 2020 Oct;140:109626. doi: 10.1016/j.enzmictec.2020.109626. Epub 2020 Jun 15.
In a directed evolution aimed at improving enzymatic activity, a situation occurs where highly active variants can no longer be obtained from a template protein because the template is already located at a peak (local maximum) in the fitness landscape of activity for the sequence space. To overcome this situation, the template needs to descend the mountain (lose activity) once and climb another higher mountain. However, there is no solid guideline of how the template should go down. Here, we propose a stability index. Previous studies have shown that protein evolution is potentially governed by stability, and that proteins with low activity but high stability are more favorable templates for producing highly active variants. In our earlier works on conventional directed evolution by random mutagenesis of an esterase from Sulfolobus tokodaii, we identified variants with 3-fold higher activity than the wild-type as the highest activity variants. In this work, as a first step, stability-keeping variants were selected by five rounds of random mutagenesis and screening based on halo formation assay using the substrate tributyrin at 70 °C after heat treatment for 30 min at 90 °C. These variants are likely to be scattered at the feet of various mountains in the fitness landscape. Next, these variants were pooled and used as parental proteins for a conventional experiment with activity-based selection, where the activity of variants was assayed using their cell-free extracts on the substrate p-nitrophenyl butyrate at 75 °C. After two rounds of random mutagenesis, we successfully obtained a variant with 9-fold higher activity than the wild-type. These results indicate that the two-step selection by stability and activity enables us more easily to produce markedly activity-improving variants.
在定向进化中,为了提高酶的活性,当模板蛋白已经位于活性的适应度景观(序列空间)的峰值(局部最大值)时,就无法再从模板蛋白中获得高活性的变体。为了克服这种情况,模板需要从山上(失去活性)下降一次,然后爬上另一座更高的山。然而,目前还没有关于模板应该如何下降的具体指导方针。在这里,我们提出了一个稳定性指数。先前的研究表明,蛋白质的进化可能受到稳定性的控制,并且具有低活性但高稳定性的蛋白质是产生高活性变体的更有利模板。在我们之前关于通过随机诱变对 Sulfolobus tokodaii 的酯酶进行常规定向进化的研究中,我们确定了具有比野生型高 3 倍活性的变体作为最高活性变体。在这项工作中,作为第一步,通过在 90°C 下热处理 30 分钟后,使用 70°C 下的底物三丁酸酯进行的 halo 形成测定,对经过五轮随机诱变和筛选的变体进行了稳定性保持变体的选择。这些变体可能分布在适应度景观中各个山脉的脚下。接下来,将这些变体汇集起来,并用作常规实验的亲本蛋白,该实验基于活性选择,使用它们的无细胞提取物在 75°C 下对底物对硝基苯丁酸进行变体活性测定。经过两轮随机诱变,我们成功获得了比野生型高 9 倍活性的变体。这些结果表明,通过稳定性和活性的两步选择,我们更容易产生明显提高活性的变体。