Department of Human Genetics, University of Utah, Salt Lake City, United States.
Department of Computational Biology, University of Pittsburgh, Pittsburgh, United States.
Elife. 2024 Feb 28;12:RP93333. doi: 10.7554/eLife.93333.
Co-functional proteins tend to have rates of evolution that covary over time. This correlation between evolutionary rates can be measured over the branches of a phylogenetic tree through methods such as evolutionary rate covariation (ERC), and then used to construct gene networks by the identification of proteins with functional interactions. The cause of this correlation has been hypothesized to result from both compensatory coevolution at physical interfaces and nonphysical forces such as shared changes in selective pressure. This study explores whether coevolution due to compensatory mutations has a measurable effect on the ERC signal. We examined the difference in ERC signal between physically interacting protein domains within complexes compared to domains of the same proteins that do not physically interact. We found no generalizable relationship between physical interaction and high ERC, although a few complexes ranked physical interactions higher than nonphysical interactions. Therefore, we conclude that coevolution due to physical interaction is weak, but present in the signal captured by ERC, and we hypothesize that the stronger signal instead comes from selective pressures on the protein as a whole and maintenance of the general function.
功能相关蛋白的进化速率往往随时间变化而协同变化。这种进化速率之间的相关性可以通过进化率协变(ERC)等方法在系统发育树的分支上进行测量,然后通过识别具有功能相互作用的蛋白质来构建基因网络。这种相关性的原因据推测是由于物理界面上的补偿性共进化和非物理力(如选择压力的共同变化)共同作用的结果。本研究探讨了由于补偿性突变导致的共进化是否对 ERC 信号有可测量的影响。我们比较了复合物中物理相互作用的蛋白结构域与不发生物理相互作用的同一蛋白结构域之间的 ERC 信号差异。我们发现物理相互作用与高 ERC 之间没有普遍的关系,尽管有几个复合物将物理相互作用的排名高于非物理相互作用。因此,我们得出结论,由于物理相互作用导致的共进化很弱,但存在于 ERC 捕获的信号中,我们假设更强的信号来自于蛋白质作为一个整体的选择压力和对一般功能的维持。