Computational Analysis of the Predicted Evolutionary Conservation of Human Phosphorylation Sites

• Published in: PloS one 2016-04, Vol.11 (4), p.e0152809-e0152809
• Main Authors: Trost, Brett, Kusalik, Anthony, Napper, Scott
• Format: Article
• Language: English
• Subjects: Amino Acid Sequence; Bees; Bioinformatics; Biological Evolution; Biology and Life Sciences; Clustering; Computation; Computational biology; Computer and Information Sciences; Computer applications; Computer science; Conservation; Ecology and Environmental Sciences; Eukaryotes; Evolution; Evolutionary conservation; Genomes; Genomics; Homology; Infectious diseases; Kinases; Molecular Sequence Data; Mutation; Organisms; Phosphorylation; Phylogenetics; Post-translation; Post-translational modifications; Protein kinase; Protein kinases; Protein Kinases - chemistry; Protein Kinases - metabolism; Proteins; Research and Analysis Methods; Species; Studies; Trends; Vaccines; Wildlife conservation
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0152809

Protein kinase-mediated phosphorylation is among the most important post-translational modifications. However, few phosphorylation sites have been experimentally identified for most species, making it difficult to determine the degree to which phosphorylation sites are conserved. The goal of this study was to use computational methods to characterize the conservation of human phosphorylation sites in a wide variety of eukaryotes. Using experimentally-determined human sites as input, homologous phosphorylation sites were predicted in all 432 eukaryotes for which complete proteomes were available. For each pair of species, we calculated phosphorylation site conservation as the number of phosphorylation sites found in both species divided by the number found in at least one of the two species. A clustering of the species based on this conservation measure was concordant with phylogenies based on traditional genomic measures. For a subset of the 432 species, phosphorylation site conservation was compared to conservation of both protein kinases and proteins in general. Protein kinases exhibited the highest degree of conservation, while general proteins were less conserved and phosphorylation sites were least conserved. Although preliminary, these data tentatively suggest that variation in phosphorylation sites may play a larger role in explaining phenotypic differences among organisms than differences in the complements of protein kinases or general proteins.