ArticleNature communications2019
Central dogma rates and the trade-off between precision and economy in gene expression.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.
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Who cites it
105 citing papers in PubMed.
- Evolutionary causes and consequences of gene duplication.Nature reviews. Genetics · 2026Review
- Improvement in model flexibility reveals signaling pathway in T cell responses to pulsatile stimuli.NPJ systems biology and applications · 2026Article
- Forecasting Multitrait Resistance Evolution under Antibiotic Stress.Molecular biology and evolution · 2026Article
- Protein buffering of aneuploidy is driven by coordinated factors identified through machine learning.Molecular systems biology · 2026Article
- Protein overabundance is driven by growth robustness.Science advances · 2026Article
- Homoeolog expression in polyploid wheat mutants shows limited transcriptional compensation.The New phytologist · 2026Article
- Decoding the Central Dogma: Quantitative Insights into Transcription and Translation Dynamics in the p53-Mediated DNA Damage Response.Journal of molecular biology · 2026Review
- Parameter Evolvability in Gene Expression Models Drives Phenotypic Adaptation.ALIFE : proceedings of the artificial life conference. International Conference on Artificial Life · 2025Article
- A conserved coupling of transcriptional ON and OFF periods underlies bursting dynamics.Nature structural & molecular biology · 2025Article
- Article
- Metabolism-dependent succinylation governs resource allocation for antibiotic resistance.Science advances · 2025Article
- Considering Metabolic Context in Enzyme Evolution and Design.Biochemistry · 2025Review
- The Hill-Type Equation Reveals the Regulatory Principle of Target Protein Expression Led by p53 Pulsing.FASEB bioAdvances · 2025Article
- The hidden costs of imperfection: transcription errors in protein aggregation diseases.Current opinion in genetics & development · 2025Review
- Mechanistic computational modeling of sFLT1 secretion dynamics.PLoS computational biology · 2025Article
- Protein overabundance is driven by growth robustness.bioRxiv : the preprint server for biology · 2025Article
- Macroevolutionary divergence of gene expression driven by selection on protein abundance.Science (New York, N.Y.) · 2025Article
- How energy determines spatial localisation and copy number of molecules in neurons.Nature communications · 2025Article
- Optimisation of gene expression noise for cellular persistence against lethal events.Journal of theoretical biology · 2025Article
- Article
45 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Steady-state protein abundance is set by four rates: transcription, translation, mRNA decay and protein decay. A given protein abundance can be obtained from infinitely many combinations of these rates. This raises the question of whether the natural rates for each gene result from historical accidents, or are there rules that give certain combinations a selective advantage? We address this question using high-throughput measurements in rapidly growing cells from diverse organisms to find that about half of the rate combinations do not exist: genes that combine high transcription with low translation are strongly depleted. This depletion is due to a trade-off between precision and economy: high transcription decreases stochastic fluctuations but increases transcription costs. Our theory quantitatively explains which rate combinations are missing, and predicts the curvature of the fitness function for each gene. It may guide the design of gene circuits with desired expression levels and noise.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.