Department of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona.
Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania; Department of Biology, Temple University, Philadelphia, Pennsylvania.
Biophys J. 2023 Jul 25;122(14):2938-2947. doi: 10.1016/j.bpj.2023.01.037. Epub 2023 Feb 2.
Sequencing of the protein coding genome has revealed many different missense mutations of human proteins and different population frequencies of corresponding haplotypes, which consist of different sets of those mutations. Here, we present evidence for pairwise intramolecular epistasis (i.e., nonadditive interactions) between many such mutations through an analysis of protein dynamics. We suggest that functional compensation for conserving protein dynamics is a likely evolutionary mechanism that maintains high-frequency mutations that are individually nonneutral but epistatically compensating within proteins. This analysis is the first of its type to look at human proteins with specific high population frequency mutations and examine the relationship between mutations that make up that observed high-frequency protein haplotype. Importantly, protein dynamics revealed a separation between high and low frequency haplotypes within a target protein cytochrome P450 2A7, with the high-frequency haplotypes showing behavior closer to the wild-type protein. Common protein haplotypes containing two mutations display dynamic compensation in which one mutation can correct for the dynamic effects of the other. We also utilize a dynamics-based metric, EpiScore, that evaluates the epistatic interactions and allows us to see dynamic compensation within many other proteins.
对蛋白质编码基因组进行测序,揭示了人类蛋白质的许多不同错义突变和不同人群频率的相应单倍型,这些单倍型由不同的突变组合组成。在这里,我们通过分析蛋白质动力学,提供了许多此类突变之间的成对分子内上位性(即非加性相互作用)的证据。我们认为,为了保持蛋白质动力学的功能补偿是一种可能的进化机制,可以维持个体非中性但在蛋白质内上位性补偿的高频突变。这种分析是首次针对具有特定高人群频率突变的人类蛋白质进行的,并研究了构成观察到的高频率蛋白质单倍型的突变之间的关系。重要的是,蛋白质动力学在目标蛋白细胞色素 P450 2A7 内将高低频率单倍型分开,高频单倍型表现出更接近野生型蛋白的行为。含有两个突变的常见蛋白质单倍型显示出动态补偿,其中一个突变可以纠正另一个突变的动态影响。我们还利用基于动力学的度量 EpiScore 来评估上位性相互作用,并使我们能够在许多其他蛋白质中看到动态补偿。