AUTHOR=Mekic Rijalda , Zolotovskaia Marianna A. , Sorokin Maksim , Mohammad Tharaa , Shaban Nina , Musatov Ivan , Tkachev Victor , Modestov Alexander , Simonov Alexander , Kuzmin Denis , Buzdin Anton TITLE=Number of human protein interactions correlates with structural, but not regulatory conservation of the respective genes JOURNAL=Frontiers in Genetics VOLUME=15 YEAR=2024 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2024.1472638 DOI=10.3389/fgene.2024.1472638 ISSN=1664-8021 ABSTRACT=Introduction

The differential ratio of nonsynonymous to synonymous nucleotide substitutions (dN/dS) is a common measure of the rate of structural evolution in proteincoding genes. In addition, we recently suggested that the proportion of transposable elements in gene promoters that host functional genomic sites serves as a marker of the rate of regulatory evolution of genes. Such functional genomic regions may include transcription factor binding sites and modified histone binding loci.

Methods

Here, we constructed a model of the human interactome based on 600,136 documented molecular interactions and investigated the overall relationship between the number of interactions of each protein and the rate of structural and regulatory evolution of the corresponding genes.

Results

By evaluating a total of 4,505 human genes and 1,936 molecular pathways we found a general correlation between structural and regulatory evolution rate metrics (Spearman 0.08–0.16 and 0.25–0.37 for gene and pathway levels, respectively, p < 0.01). Further exploration revealed in the established human interactome model lack of correlation between the rate of gene regulatory evolution and the number of protein interactions on gene level, and weak negative correlation (∼0.15) on pathway level. We also found a statistically significant negative correlation between the rate of gene structural evolution and the number of protein interactions (Spearman −0.11 and −0.3 for gene and pathway levels, respectively, p < 0.01).

Discussion

Our result suggests stronger structural rather than regulatory conservation of genes whose protein products have multiple interaction partners.