ArticleGenetics2017
Drift Barriers to Quality Control When Genes Are Expressed at Different Levels.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Functionality versus Adaptation: Insights from Transcriptional Adaptation.Journal of molecular evolution · 2026Review
- Translational fidelity and longevity are genetically linked.Nature communications · 2025Article
- Human deleterious mutation rate slows adaptation and implies high fitness variance.bioRxiv : the preprint server for biology · 2025Article
- Genetic and selective constraints on the optimization of gene product diversity.bioRxiv : the preprint server for biology · 2024Article
- Article
- Highly Abundant Proteins Are Highly Thermostable.Genome biology and evolution · 2023Article
- Molecular Mechanisms of Poxvirus Evolution.mBio · 2023Review
- Effective Population Size Predicts Local Rates but Not Local Mitigation of Read-through Errors.Molecular biology and evolution · 2021Article
- Readthrough Errors Purge Deleterious Cryptic Sequences, Facilitating the Birth of Coding Sequences.Molecular biology and evolution · 2020Article
- High Transcriptional Error Rates Vary as a Function of Gene Expression Level.Genome biology and evolution · 2020Article
- Evolution of drift robustness in small populations.Nature communications · 2017Article
- Accelerated simulation of evolutionary trajectories in origin-fixation models.Journal of the Royal Society, Interface · 2017Article
- Splendor and misery of adaptation, or the importance of neutral null for understanding evolution.BMC biology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression is imperfect, sometimes leading to toxic products. Solutions take two forms: globally reducing error rates, or ensuring that the consequences of erroneous expression are relatively harmless. The latter is optimal, but because it must evolve independently at so many loci, it is subject to a stringent "drift barrier"-a limit to how weak the effects of a deleterious mutation s can be, while still being effectively purged by selection, expressed in terms of the population size N of an idealized population such that purging requires s < -1/N In previous work, only large populations evolved the optimal local solution, small populations instead evolved globally low error rates, and intermediate populations were bistable, with either solution possible. Here, we take into consideration the fact that the effectiveness of purging varies among loci, because of variation in gene expression level, and variation in the intrinsic vulnerabilities of different gene products to error. The previously found dichotomy between the two kinds of solution breaks down, replaced by a gradual transition as a function of population size. In the extreme case of a small enough population, selection fails to maintain even the global solution against deleterious mutations, explaining the nonmonotonic relationship between effective population size and transcriptional error rate that was recently observed in experiments on Escherichia coli, Caenorhabditis elegans, and Buchnera aphidicola.
Indexed as
Identifiers
What OpenQuestion holds
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.