ArticleScience (New York, N.Y.)2016
Network of epistatic interactions within a yeast snoRNA.
Article in Science (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 71 papers.
What it found
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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
71 citing papers in PubMed, 136 citations in OpenAlex.
- A gene-based model of fitness and its implications for genetic variation: linkage disequilibrium.Genetics · 2025Article
- Optimal sequencing depth for measuring the concentrations of molecular barcodes.Nucleic acids research · 2025Article
- Exploring the space of self-reproducing ribozymes using generative models.Nature communications · 2025Article
- A gene-based model of fitness and its implications for genetic variation: Linkage disequilibrium.bioRxiv : the preprint server for biology · 2025Article
- Pleiotropy, epistasis and the genetic architecture of quantitative traits.Nature reviews. Genetics · 2024Review
- Structural shifts in TolC facilitate Efflux-Mediated β-lactam resistance.Communications biology · 2024Article
- Deep mutational scanning quantifies DNA binding and predicts clinical outcomes of PAX6 variants.Molecular systems biology · 2024Article
- Cryo-EM structure and functional landscape of an RNA polymerase ribozyme.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- ACIDES: on-line monitoring of forward genetic screens for protein engineering.Nature communications · 2023Article
- Discovering pathways through ribozyme fitness landscapes using information theoretic quantification of epistasis.RNA (New York, N.Y.) · 2023Article
- Ancient transcriptional regulators can easily evolve new pair-wise cooperativity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Evolvability-enhancing mutations in the fitness landscapes of an RNA and a protein.Nature communications · 2023Article
- Environment-dependent epistasis increases phenotypic diversity in gene regulatory networks.Science advances · 2023Article
- Mapping the in vivo fitness landscape of a tethered ribosome.Science advances · 2023Article
- Widespread epistasis among beneficial genetic variants revealed by high-throughput genome editing.Cell genomics · 2023Article
- What Has Genomics Taught An Evolutionary Biologist?Genomics, proteomics & bioinformatics · 2023Review
- Deep mutational scanning: A versatile tool in systematically mapping genotypes to phenotypes.Frontiers in genetics · 2023Review
- Higher-order epistasis and phenotypic prediction.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning.Nature communications · 2022Article
- Local fitness and epistatic effects lead to distinct patterns of linkage disequilibrium in protein-coding genes.Genetics · 2022Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Epistatic interactions play a fundamental role in molecular evolution, but little is known about the spatial distribution of these interactions within genes. To systematically survey a model landscape of intragenic epistasis, we quantified the fitness of ~60,000 Saccharomyces cerevisiae strains expressing randomly mutated variants of the 333-nucleotide-long U3 small nucleolar RNA (snoRNA). The fitness effects of individual mutations were correlated with evolutionary conservation and structural stability. Many mutations had small individual effects but had large effects in the context of additional mutations, which indicated negative epistasis. Clusters of negative interactions were explained by local thermodynamic threshold effects, whereas positive interactions were enriched among large-effect sites and between base-paired nucleotides. We conclude that high-throughput mapping of intragenic epistasis can identify key structural and functional features of macromolecules.
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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.