ArticleMolecular biology and evolution2017
Secreted Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.
Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Gene Expansion and Regulatory Rewiring Shape Sex-Biased Evolution of the Mouse Submandibular Gland Secretome.bioRxiv : the preprint server for biology · 2026Article
- Codon usage bias and selective constraints in Gentianales mitogenomes.BMC genomics · 2026Article
- Correlated Gene Copy Number Changes in a Seminal Fluid Protein Network inbioRxiv : the preprint server for biology · 2025Article
- Protein Quality Control is a Master Modulator of Molecular Evolution in Bacteria.Genome biology and evolution · 2025Review
- Correlations of gene expression, codon usage bias, and evolutionary rates of the mitochondrial genome show tissue differentiation in Ophioglossum vulgatum.BMC plant biology · 2025Article
- Comparative Genomic Analysis of the Pattern of Evolution of Male and Female Reproductive Proteins in Seed Beetles.Genome biology and evolution · 2024Article
- Classical cadherins evolutionary constraints in primates is associated with their expression in the central nervous system.PloS one · 2024Article
- Asymmetric Evolution of Protein Domains in the Leucine-Rich Repeat Receptor-Like Kinase Family of Plant Signaling Proteins.Molecular biology and evolution · 2023Article
- Chloroplast gene expression level is negatively correlated with evolutionary rates and selective pressure while positively with codon usage bias in Ophioglossum vulgatum L.BMC plant biology · 2022Article
- Extracellular Domains of Transmembrane Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.Genome biology and evolution · 2022Article
- The Missing Expression Level-Evolutionary Rate Anticorrelation in Viruses Does Not Support Protein Function as a Main Constraint on Sequence Evolution.Genome biology and evolution · 2021Article
- Gene expression of functionally-related genes coevolves across fungal species: detecting coevolution of gene expression using phylogenetic comparative methods.BMC genomics · 2020Article
- Gene expression variation in the brains of harvester ant foragers is associated with collective behavior.Communications biology · 2020Article
- The Old and the New: Discovery Proteomics Identifies Putative Novel Seminal Fluid Proteins in Drosophila.Molecular & cellular proteomics : MCP · 2019Article
- Correlates of evolutionary rates in the murine sperm proteome.BMC evolutionary biology · 2018Article
- Position Matters: Network Centrality Considerably Impacts Rates of Protein Evolution in the Human Protein-Protein Interaction Network.Genome biology and evolution · 2017Article
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3 authors.
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Abstract
The rates of evolution of the proteins of any organism vary across orders of magnitude. A primary factor influencing rates of protein evolution is expression. A strong negative correlation between expression levels and evolutionary rates (the so-called E-R anticorrelation) has been observed in virtually all studied organisms. This effect is currently attributed to the abundance-dependent fitness costs of misfolding and unspecific protein-protein interactions, among other factors. Secreted proteins are folded in the endoplasmic reticulum, a compartment where chaperones, folding catalysts, and stringent quality control mechanisms promote their correct folding and may reduce the fitness costs of misfolding. In addition, confinement of secreted proteins to the extracellular space may reduce misinteractions and their deleterious effects. We hypothesize that each of these factors (the secretory pathway quality control and extracellular location) may reduce the strength of the E-R anticorrelation. Indeed, here we show that among human proteins that are secreted to the extracellular space, rates of evolution do not correlate with protein abundances. This trend is robust to controlling for several potentially confounding factors and is also observed when analyzing protein abundance data for 6 human tissues. In addition, analysis of mRNA abundance data for 32 human tissues shows that the E-R correlation is always less negative, and sometimes nonsignificant, in secreted proteins. Similar observations were made in Caenorhabditis elegans and in Escherichia coli, and to a lesser extent in Drosophila melanogaster, Saccharomyces cerevisiae and Arabidopsis thaliana. Our observations contribute to understand the causes of the E-R anticorrelation.
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