Wheeler Lucas C, Anderson Jeremy A, Morrison Anneliese J, Wong Caitlyn E, Harms Michael J
Department of Chemistry and Biochemistry, University of Oregon , Eugene, Oregon 97403, United States.
Institute of Molecular Biology, University of Oregon , Eugene, Oregon 97403, United States.
Biochemistry. 2018 Feb 6;57(5):684-695. doi: 10.1021/acs.biochem.7b01086. Epub 2017 Dec 29.
Many regulatory proteins bind peptide regions of target proteins and modulate their activity. Such regulatory proteins can often interact with highly diverse target peptides. In many instances, it is not known if the peptide-binding interface discriminates targets in a biological context, or whether biological specificity is achieved exclusively through external factors such as subcellular localization. We used an evolutionary biochemical approach to distinguish these possibilities for two such low-specificity proteins: S100A5 and S100A6. We used isothermal titration calorimetry to study the binding of peptides with diverse sequence and biochemistry to human S100A5 and S100A6. These proteins bound distinct, but overlapping, sets of peptide targets. We then studied the peptide binding properties of orthologs sampled from across five amniote species. Binding specificity was conserved along all lineages, for the last 320 million years, despite the low specificity of each protein. We used ancestral sequence reconstruction to determine the binding specificity of the last common ancestor of the paralogs. The ancestor bound the entire set of peptides bound by modern S100A5 and S100A6 proteins, suggesting that paralog specificity evolved via subfunctionalization. To rule out the possibility that specificity is conserved because it is difficult to modify, we identified a single historical mutation that, when reverted in human S100A5, gave it the ability to bind an S100A6-specific peptide. These results reveal strong evolutionary constraints on peptide binding specificity. Despite being able to bind a large number of targets, the specificity of S100 peptide interfaces is likely important for the biology of these proteins.
许多调节蛋白与靶蛋白的肽区域结合并调节其活性。这类调节蛋白通常能与高度多样的靶肽相互作用。在许多情况下,尚不清楚肽结合界面在生物学背景下是否能区分靶标,或者生物学特异性是否仅通过亚细胞定位等外部因素来实现。我们采用进化生物化学方法来区分两种低特异性蛋白(S100A5和S100A6)的这些可能性。我们使用等温滴定量热法研究具有不同序列和生化性质的肽与人类S100A5和S100A6的结合。这些蛋白结合不同但有重叠的肽靶标集。然后,我们研究了从五种羊膜动物物种中取样的直系同源物的肽结合特性。尽管每种蛋白的特异性较低,但在过去3.2亿年里,结合特异性在所有谱系中都得以保留。我们使用祖先序列重建来确定这两个旁系同源物的最后共同祖先的结合特异性。该祖先结合了现代S100A5和S100A6蛋白所结合的全部肽集,这表明旁系同源物特异性是通过亚功能化进化而来的。为了排除特异性因难以改变而得以保留的可能性,我们鉴定出一个单一的历史突变,当在人类S100A5中恢复该突变时,它就获得了结合S100A6特异性肽的能力。这些结果揭示了对肽结合特异性的强大进化限制。尽管S100蛋白能够结合大量靶标,但S100肽界面的特异性可能对这些蛋白的生物学功能很重要。