ArticleBMC evolutionary biology2012
The relationship between the hierarchical position of proteins in the human signal transduction network and their rate of evolution.
Article in BMC evolutionary biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Richard Dickerson, Molecular Clocks, and Rates of Protein Evolution.Journal of molecular evolution · 2021Article
- Metabolic Determinants of Enzyme Evolution in a Genome-Scale Bacterial Metabolic Network.Genome biology and evolution · 2018Article
- Position Matters: Network Centrality Considerably Impacts Rates of Protein Evolution in the Human Protein-Protein Interaction Network.Genome biology and evolution · 2017Article
- Essentiality Is a Strong Determinant of Protein Rates of Evolution during Mutation Accumulation Experiments in Escherichia coli.Genome biology and evolution · 2016Article
- Selection on metabolic pathway function in the presence of mutation-selection-drift balance leads to rate-limiting steps that are not evolutionarily stable.Biology direct · 2016Article
- Flux Control in Glycolysis Varies Across the Tree of Life.Journal of molecular evolution · 2016Article
- Evolutionary patterns of Toll-like receptor signaling pathway genes in the Suidae.BMC evolutionary biology · 2016Article
- Positive Selection and Centrality in the Yeast and Fly Protein-Protein Interaction Networks.BioMed research international · 2016Article
- Recent positive selection has acted on genes encoding proteins with more interactions within the whole human interactome.Genome biology and evolution · 2015Article
- Gene similarity networks provide tools for understanding eukaryote origins and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Three independent determinants of protein evolutionary rate.Journal of molecular evolution · 2013Review
- Comment on "The Molecular Evolutionary Patterns of the Insulin/FOXO Signaling Pathway".Evolutionary bioinformatics online · 2013Article
- Evolutionary rate and duplicability in the Arabidopsis thaliana protein-protein interaction network.Genome biology and evolution · 2012Article
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Abstract
backgroundProteins evolve at disparate rates, as a result of the action of different types and strengths of evolutionary forces. An open question in evolutionary biology is what factors are responsible for this variability. In general, proteins whose function has a great impact on organisms' fitness are expected to evolve under stronger selective pressures. In biosynthetic pathways, upstream genes usually evolve under higher levels of selective constraint than those acting at the downstream part, as a result of their higher hierarchical position. Similar observations have been made in transcriptional regulatory networks, whose upstream elements appear to be more essential and subject to selection. Less well understood is, however, how selective pressures distribute along signal transduction pathways.
resultsHere, I combine comparative genomics and directed protein interaction data to study the distribution of evolutionary forces across the human signal transduction network. Surprisingly, no evidence was found for higher levels of selective constraint at the upstream network genes (those occupying more hierarchical positions). On the contrary, purifying selection was found to act more strongly on genes acting at the downstream part of the network, which seems to be due to downstream genes being more highly and broadly expressed, performing certain functions and, in particular, encoding proteins that are more highly connected in the protein-protein interaction network. When the effect of these confounding factors is discounted, upstream and downstream genes evolve at similar rates. The trends found in the overall signaling network are exemplified by analysis of the distribution of purifying selection along the mammalian Ras signaling pathway, showing that upstream and downstream genes evolve at similar rates.
conclusionsThese results indicate that the upstream/downstream position of proteins in the signal transduction network has, in general, no direct effect on their rates of evolution, suggesting that upstream and downstream genes are similarly important for the function of the network. This implies that natural selection differently distributes across signal transduction networks and across biosynthetic and transcriptional regulatory networks, which might reflect fundamental differences in their function and organization.
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