Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China; School of Pharmaceutical Science, Jiangnan University, Wuxi, Jiangsu, 214122, China.
Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China.
Int J Biol Macromol. 2020 Oct 1;160:1189-1200. doi: 10.1016/j.ijbiomac.2020.05.243. Epub 2020 May 30.
To improve the thermostability of r27RCL from Rhizopus chinensis and broaden its industrial applications, we used rational design (FoldX) according to ΔΔG calculation to predict mutations. Four thermostable variants S142A, D217V, Q239F, and S250Y were screened out and then combined together to generate a quadruple-mutation (S142A/D217V/Q239F/S250Y) variant, called m31. m31 exhibited enhanced thermostability with a 41.7-fold longer half-life at 60 °C, a 5 °C higher of t, and 15.8 °C higher of T compared to that of r27RCL expressed in Pichiapastoris. Molecular dynamics simulations were conducted to analyze the mechanism of the thermostable mutant. The results indicated that the rigidity of m31 was improved due to the decreased solvent accessible surface area, a newly formed salt bridge of Glu292:His171, and the increased ΔΔG of m31. According to the root-mean-square-fluctuation analysis, three positive mutations S142A, D217V, and Q239F located in the thermal weak regions and greatly decreased the distribution of thermal-fluctuated regions of m31, compared to that of r27RCL. These results suggested that to simultaneously implement MD simulations and ΔΔG-based rational approaches will be more accurate and efficient for the improvement of enzyme thermostability.
为了提高里氏木霉 r27RCL 的热稳定性并拓宽其工业应用,我们根据ΔΔG 计算使用合理设计(FoldX)来预测突变。筛选出四个耐热变体 S142A、D217V、Q239F 和 S250Y,然后将它们组合在一起生成一个四重突变体(S142A/D217V/Q239F/S250Y)变体,称为 m31。m31 表现出增强的热稳定性,在 60°C 时半衰期延长了 41.7 倍,t 提高了 5°C,T 提高了 15.8°C,与在毕赤酵母中表达的 r27RCL 相比。进行了分子动力学模拟以分析耐热突变体的机制。结果表明,m31 的刚性提高是由于溶剂可及表面积减小、新形成的 Glu292:His171 盐桥以及 m31 的ΔΔG 增加所致。根据均方根波动分析,与 r27RCL 相比,三个正突变 S142A、D217V 和 Q239F 位于热弱区域,大大降低了 m31 的热波动区域的分布。这些结果表明,同时实施 MD 模拟和基于ΔΔG 的合理方法对于提高酶的热稳定性将更加准确和高效。