ArticleGenome biology and evolution2010
Expression level, evolutionary rate, and the cost of expression.
Article in Genome biology and evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Why structural divergence varies among residues in enzyme evolution: contributions of mutation, stability, and activity constraints.Molecular biology and evolution · 2026Article
- Multiple molecular and cellular properties jointly affect protein and site-specific evolutionary rates.bioRxiv : the preprint server for biology · 2026Article
- Predictors of Protein Evolution in the drosophilid Immune System.Genome biology and evolution · 2026Article
- A slight mismatch between a gene's codon usage and the cellular tRNA supply is beneficial.Nature communications · 2026Article
- Pleiotropy and the evolutionary stability of plastic phenotypes: a geometric framework.G3 (Bethesda, Md.) · 2026Article
- Considering Metabolic Context in Enzyme Evolution and Design.Biochemistry · 2025Review
- Cell Compartment is a Predictor of Protein Rate of Evolution, but not in the Manner Expected: Evidence Against the Extended Complexity Hypothesis.Genome biology and evolution · 2025Article
- A Short-Term View of Protein Sequence Evolution from Salmonella.Genome biology and evolution · 2025Article
- Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost.Protein science : a publication of the Protein Society · 2025Article
- Functional Optimization in Distinct Tissues and Conditions Constrains the Rate of Protein Evolution.Molecular biology and evolution · 2024Article
- Changing fitness effects of mutations through long-term bacterial evolution.Science (New York, N.Y.) · 2024Article
- Highly Abundant Proteins Are Highly Thermostable.Genome biology and evolution · 2023Article
- Article
- 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
- Purifying selection enduringly acts on the sequence evolution of highly expressed proteins in Escherichia coli.G3 (Bethesda, Md.) · 2022Article
- Extracellular Domains of Transmembrane Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.Genome biology and evolution · 2022Article
- Variables Influencing Differences in Sequence Conservation in the Fission Yeast Schizosaccharomyces pombe.Journal of molecular evolution · 2021Article
- Avoidance of protein unfolding constrains protein stability in long-term evolution.Biophysical journal · 2021Article
- 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
- The Relationship between the Misfolding Avoidance Hypothesis and Protein Evolutionary Rates in the Light of Empirical Evidence.Genome biology and evolution · 2021Article
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1 author.
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Abstract
There is great variation in the rates of sequence evolution among proteins encoded by the same genome. The strongest correlate of evolutionary rate is expression level: highly expressed proteins tend to evolve slowly. This observation has led to the proposal that a major determinant of protein evolutionary rate involves the toxic effects of protein that misfolds due to transcriptional and translational errors (the mistranslation-induced misfolding [MIM] hypothesis). Here, I present a model that explains the correlation of evolutionary rate and expression level by selection for function. The basis of this model is that selection keeps expression levels near optima that reflect a trade-off between beneficial effects of the protein's function and some nonspecific cost of expression (e.g., the biochemical cost of synthesizing protein). Simulations confirm the predictions of the model. Like the MIM hypothesis, this model predicts several other relationships that are observed empirically. Although the model is based on selection for protein function, it is consistent with findings that a protein's rate of evolution is at most weakly correlated with its importance for fitness as measured by gene knockout experiments.
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