Alejaldre Lorea, Lemay-St-Denis Claudèle, Perez Lopez Carles, Sancho Jodar Ferran, Guallar Victor, Pelletier Joelle N
Biochemistry Department, Université de Montréal, Montréal, QC, Canada.
PROTEO, The Québec Network for Research on Protein, Function, Engineering and Applications, Quebec City, QC, Canada.
Front Mol Biosci. 2020 Nov 20;7:599298. doi: 10.3389/fmolb.2020.599298. eCollection 2020.
The evolution of new protein functions is dependent upon inherent biophysical features of proteins. Whereas, it has been shown that changes in protein dynamics can occur in the course of directed molecular evolution trajectories and contribute to new function, it is not known whether varying protein dynamics modify the course of evolution. We investigate this question using three related ß-lactamases displaying dynamics that differ broadly at the slow timescale that corresponds to catalytic turnover yet have similar fast dynamics, thermal stability, catalytic, and substrate recognition profiles. Introduction of substitutions E104K and G238S, that are known to have a synergistic effect on function in the parent ß-lactamase, showed similar increases in catalytic efficiency toward cefotaxime in the related ß-lactamases. Molecular simulations using Protein Energy Landscape Exploration reveal that this results from stabilizing the catalytically-productive conformations, demonstrating the dominance of the synergistic effect of the E014K and G238S substitutions in contexts that vary in terms of sequence and dynamics. Furthermore, three rounds of directed molecular evolution demonstrated that known cefotaximase-enhancing mutations were accessible regardless of the differences in dynamics. Interestingly, specific sequence differences between the related ß-lactamases were shown to have a higher effect in evolutionary outcomes than did differences in dynamics. Overall, these ß-lactamase models show tolerance to protein dynamics at the timescale of catalytic turnover in the evolution of a new function.
新蛋白质功能的进化取决于蛋白质固有的生物物理特征。虽然已经表明,在定向分子进化轨迹过程中蛋白质动力学可以发生变化并有助于新功能的产生,但尚不清楚不同的蛋白质动力学是否会改变进化过程。我们使用三种相关的β-内酰胺酶来研究这个问题,这三种酶在对应于催化周转的慢时间尺度上表现出广泛不同的动力学,但具有相似的快动力学、热稳定性、催化和底物识别特征。已知在亲本β-内酰胺酶中对功能有协同作用的E104K和G238S取代的引入,在相关β-内酰胺酶中对头孢噻肟的催化效率显示出类似的提高。使用蛋白质能量景观探索的分子模拟表明,这是由于稳定了催化活性构象,证明了E014K和G238S取代的协同效应在序列和动力学不同的背景下的主导地位。此外,三轮定向分子进化表明,无论动力学差异如何,已知的头孢噻肟酶增强突变都是可获得的。有趣的是,相关β-内酰胺酶之间的特定序列差异在进化结果中显示出比动力学差异更高的影响。总体而言,这些β-内酰胺酶模型在新功能进化的催化周转时间尺度上显示出对蛋白质动力学的耐受性。