Hemery Mathieu, Rivoire Olivier
ESPCI ParisTech, PCT, Gulliver, F-75005, Paris, France.
CNRS, LIPhy, F-38000 Grenoble, France.
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Apr;91(4):042704. doi: 10.1103/PhysRevE.91.042704. Epub 2015 Apr 9.
The sequence of a protein is not only constrained by its physical and biochemical properties under current selection, but also by features of its past evolutionary history. Understanding the extent and the form that these evolutionary constraints may take is important to interpret the information in protein sequences. To study this problem, we introduce a simple but physical model of protein evolution where selection targets allostery, the functional coupling of distal sites on protein surfaces. This model shows how the geometrical organization of couplings between amino acids within a protein structure can depend crucially on its evolutionary history. In particular, two scenarios are found to generate a spatial concentration of functional constraints: high mutation rates and fluctuating selective pressures. This second scenario offers a plausible explanation for the high tolerance of natural proteins to mutations and for the spatial organization of their least tolerant amino acids, as revealed by sequence analysis and mutagenesis experiments. It also implies a faculty to adapt to new selective pressures that is consistent with observations. The model illustrates how several independent functional modules may emerge within the same protein structure, depending on the nature of past environmental fluctuations. Our model thus relates the evolutionary history of proteins to the geometry of their functional constraints, with implications for decoding and engineering protein sequences.
蛋白质的序列不仅受当前选择下其物理和生化特性的限制,还受其过去进化历史特征的限制。了解这些进化限制可能呈现的程度和形式对于解读蛋白质序列中的信息很重要。为了研究这个问题,我们引入了一个简单但基于物理的蛋白质进化模型,其中选择的目标是变构,即蛋白质表面远端位点的功能偶联。该模型展示了蛋白质结构内氨基酸之间偶联的几何组织如何关键地取决于其进化历史。特别地,发现两种情况会产生功能限制的空间集中:高突变率和波动的选择压力。正如序列分析和诱变实验所揭示的,第二种情况为天然蛋白质对突变的高耐受性及其耐受性最低的氨基酸的空间组织提供了一个合理的解释。它还暗示了一种与观察结果一致的适应新选择压力的能力。该模型说明了根据过去环境波动的性质,几个独立的功能模块如何可能在同一蛋白质结构中出现。因此,我们的模型将蛋白质的进化历史与其功能限制的几何结构联系起来,对解码和设计蛋白质序列具有启示意义。