ArticleMolecular biology and evolution2023
On the Decoupling of Evolutionary Changes in mRNA and Protein Levels.
Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed.
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- Rearrangement of the Cell Chaperone Machinery in Human Fibrosarcoma HT1080 Cells With the Knocked-Out HSP90AA1 Gene Encoding Hsp90α.Biology of the cell · 2026Article
- Quantitative system drift.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Host Coral Bleaching Response Viewed Through the Lens of Multi-Omics: Multi-Omics Provides the Tools to Understand the Complex Molecular Basis of Coral Bleaching, Which Can Aid Conservation Efforts.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- m6A Methyltransferase METTL3 Regulates Inflammatory and Immune Microenvironments in Renal Cell Carcinoma via Modulation of the PI3K/AKT Pathway.International journal of genomics · 2026Article
- Biophysical constraints on mRNA decay rates shape macroevolutionary divergence in steady-state abundances.bioRxiv : the preprint server for biology · 2025Article
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- A simple model reveals why complex evolutionary innovations follow predictable paths.bioRxiv : the preprint server for biology · 2025Article
- Gene cloning of S100β and NGF and localization of their expression in the small intestine of broilers of various ages.Scientific reports · 2025Article
- New therapeutic approaches for fibrosis: harnessing translational regulation.Trends in molecular medicine · 2025Review
- Integrated Multiomics Analyses of the Molecular Landscape of Sarcopenia in Alcohol-Related Liver Disease.Journal of cachexia, sarcopenia and muscle · 2025Article
- cIAP2-mediated IGF2BP2 ubiquitination and degradation regulate cardiomyocyte apoptosis via stabilizing mCell biology and toxicology · 2025Article
- Photosynthetic Responses ofPlants (Basel, Switzerland) · 2025Article
- Repeated Evolution of Transcript Dosage Compensation of Independently Formed Nematode Neo-X Chromosomes.Genome biology and evolution · 2025Article
- [High-resolution Differential Proteomic Analysis of Mouse Secondary Oocytes and First Polar Bodies].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Macroevolutionary divergence of gene expression driven by selection on protein abundance.Science (New York, N.Y.) · 2025Article
- Multilevel Gene Expression Changes in Lineages Containing Adaptive Copy Number Variants.Molecular biology and evolution · 2025Article
- Ethyl Acetate Extract ofMetabolites · 2025Article
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4 authors.
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Abstract
Variation in gene expression across lineages is thought to explain much of the observed phenotypic variation and adaptation. The protein is closer to the target of natural selection but gene expression is typically measured as the amount of mRNA. The broad assumption that mRNA levels are good proxies for protein levels has been undermined by a number of studies reporting moderate or weak correlations between the two measures across species. One biological explanation for this discrepancy is that there has been compensatory evolution between the mRNA level and regulation of translation. However, we do not understand the evolutionary conditions necessary for this to occur nor the expected strength of the correlation between mRNA and protein levels. Here, we develop a theoretical model for the coevolution of mRNA and protein levels and investigate the dynamics of the model over time. We find that compensatory evolution is widespread when there is stabilizing selection on the protein level; this observation held true across a variety of regulatory pathways. When the protein level is under directional selection, the mRNA level of a gene and the translation rate of the same gene were negatively correlated across lineages but positively correlated across genes. These findings help explain results from comparative studies of gene expression and potentially enable researchers to disentangle biological and statistical hypotheses for the mismatch between transcriptomic and proteomic data.
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