ArticleMolecular biology and evolution2015
In search of beneficial coding RNA editing.
Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
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Who cites it
33 citing papers in PubMed.
- Evaluating the adaptive hypothesis of A-to-I RNA editing in filamentous ascomycete fungi.Molecular biology and evolution · 2026Article
- Coding regions are rarely predefined in the eukaryotic genomes: a note on simplified models of gene architecture.BMC genomics · 2026Article
- The neuronal A-to-I RNA editome of Solenopsis invicta expands conserved recoding repertoire between two ant species.BMC genomics · 2026Article
- Different mRNAs encoding identical proteins: how and why?Journal of applied genetics · 2026Article
- Can transcriptome size and off-target effects explain the contrasting evolution of mitochondrial vs nuclear RNA editing?Journal of evolutionary biology · 2025Article
- Promiscuous RNA editing in lncRNARNA (New York, N.Y.) · 2025Article
- Article
- Learning from the Codon Table: Convergent Recoding Provides Novel Understanding on the Evolution of A-to-I RNA Editing.Journal of molecular evolution · 2024Article
- Article
- An orthology-based methodology as a complementary approach to retrieve evolutionarily conserved A-to-I RNA editing sites.RNA biology · 2024Article
- Identification and Interpretation of A-to-I RNA Editing Events in Insect Transcriptomes.International journal of molecular sciences · 2023Review
- Article
- Experimental evidence for the functional importance and adaptive advantage of A-to-I RNA editing in fungi.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- What Has Genomics Taught An Evolutionary Biologist?Genomics, proteomics & bioinformatics · 2023Review
- Chloroplast C-to-U RNA editing in vascular plants is adaptive due to its restorative effect: testing the restorative hypothesis.RNA (New York, N.Y.) · 2023Article
- Adaptation of A-to-I RNA editing in bacteria, fungi, and animals.Frontiers in microbiology · 2023Article
- Gene product diversity: adaptive or not?Trends in genetics : TIG · 2022Review
- Mutation profiling of a limbless pig reveals genome-wide regulation of RNA processing related to bone development.Journal of applied genetics · 2021Article
- Adaptive Proteome Diversification by Nonsynonymous A-to-I RNA Editing in Coleoid Cephalopods.Molecular biology and evolution · 2021Article
- A-to-I RNA Editing Uncovers Hidden Signals of Adaptive Genome Evolution in Animals.Genome biology and evolution · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
RNA editing is a posttranscriptional modification that can lead to a change in the encoded protein sequence of a gene. Although a few cases of mammalian coding RNA editing are known to be functionally important, the vast majority of over 2,000 A-to-I editing sites that have been identified from the coding regions of the human genome are likely nonadaptive, representing tolerable promiscuous targeting of editing enzymes. Finding the potentially tiny fraction of beneficial editing sites from the sea of mostly nearly neutral editing is a difficult but important task. Here, we propose and provide evidence that evolutionarily conserved or "hardwired" residues that experience high-level nonsynonymous RNA editing in a species are enriched with beneficial editing. This simple approach allows the prediction of sites where RNA editing is functionally important. We suggest that priority be given to these candidates in future characterizations of the functional and fitness consequences of RNA editing.
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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.