ArticleNature communications2019
Empirical mean-noise fitness landscapes reveal the fitness impact of gene expression noise.
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 24 papers.
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Who cites it
24 citing papers in PubMed.
- Environmental impacts on gene expression noise and its relationship with fitness.bioRxiv : the preprint server for biology · 2026Article
- Growth control as a central regulator for tuning the cellular context.Journal of biological engineering · 2026Article
- Article
- How genotype-by-environment interactions on fitness emerge.Nature ecology & evolution · 2024Article
- Stress-Induced Constraint on Expression Noise of Essential Genes in E. coli.Journal of molecular evolution · 2024Article
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 2024Review
- Rapid adaptation of cellular metabolic rate to the MicroRNA complements of mammals and its relevance to the evolution of endothermy.iScience · 2024Article
- Nonmonotone invasion landscape by noise-aware control of metastasis activator levels.Nature chemical biology · 2023Article
- Contributions of mutation and selection to regulatory variation: lessons from thePhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Being noisy in a crowd: Differential selective pressure on gene expression noise in model gene regulatory networks.PLoS computational biology · 2023Article
- Mechanisms of regulatory evolution in yeast.Current opinion in genetics & development · 2022Review
- Rhythmicity is linked to expression cost at the protein level but to expression precision at the mRNA level.PLoS computational biology · 2022Article
- Gene regulation in Escherichia coli is commonly selected for both high plasticity and low noise.Nature ecology & evolution · 2022Article
- Independent control of mean and noise by convolution of gene expression distributions.Nature communications · 2021Article
- Efficiency of the synthetic self-splicing RiboJ ribozyme is robust to cis- and trans-changes in genetic background.MicrobiologyOpen · 2021Article
- The effect of natural selection on the propagation of protein expression noise to bacterial growth.PLoS computational biology · 2021Article
- Pareto optimality between growth-rate and lag-time couples metabolic noise to phenotypic heterogeneity in Escherichia coli.Nature communications · 2021Article
- Interplay between genetic, epigenetic, and gene expression variability: Considering complexity in evolvability.Evolutionary applications · 2021Review
- Orthogonal control of mean and variability of endogenous genes in a human cell line.Nature communications · 2021Article
- A two-step PCR assembly for construction of gene variants across large mutational distances.Biology methods & protocols · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The effects of cell-to-cell variation (noise) in gene expression have proven difficult to quantify because of the mechanistic coupling of noise to mean expression. To independently quantify the effects of changes in mean expression and noise we determine the fitness landscapes in mean-noise expression space for 33 genes in yeast. For most genes, short-lived (noise) deviations away from the expression optimum are nearly as detrimental as sustained (mean) deviations. Fitness landscapes can be classified by a combination of each gene's sensitivity to protein shortage or surplus. We use this classification to explore evolutionary scenarios for gene expression and find that certain landscape topologies can break the mechanistic coupling of mean and noise, thus promoting independent optimization of both properties. These results demonstrate that noise is detrimental for many genes and reveal non-trivial consequences of mean-noise-fitness topologies for the evolution of gene expression systems.
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