Evidence map›Paper›PMID 32145015›Full record

ArticleGenome biology and evolution2020

A-to-I RNA Editing Uncovers Hidden Signals of Adaptive Genome Evolution in Animals.

Niko Popitsch, Christian D Huber, Ilana Buchumenski, Eli Eisenberg, Michael Jantsch, Arndt von Haeseler, Miguel Gallach

Abstract read
In one paragraph

Article in Genome biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. De novo rates of aProceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Niko PopitschOxford NIHR Biomedical Research Center, Wellcome Trust Center for Human Genetics, University of Oxford, Oxford, United Kingdom.
Christian D HuberAustralian Centre for Ancient DNA, The University of Adelaide, Adelaide, South Australia, Australia.
Ilana BuchumenskiThe Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel.
Eli EisenbergRaymond and Beverly Sackler School of Physics and Astronomy and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Michael JantschDepartment for Cell and Developmental Biology, Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Arndt von HaeselerBioinformatics and Computational Biology, Faculty of Computer Science, University of Vienna, Vienna, Austria.
Miguel GallachCenter for Integrative Bioinformatics Vienna, Max F. Perutz Laboratories, University of Vienna and Medical University of Vienna, Vienna, Austria.

Funding

Austrian Science Fund FWF P 26882
6 · The paper itself

Abstract

In animals, the most common type of RNA editing is the deamination of adenosines (A) into inosines (I). Because inosines basepair with cytosines (C), they are interpreted as guanosines (G) by the cellular machinery and genomically encoded G alleles at edited sites mimic the function of edited RNAs. The contribution of this hardwiring effect on genome evolution remains obscure. We looked for population genomics signatures of adaptive evolution associated with A-to-I RNA edited sites in humans and Drosophila melanogaster. We found that single nucleotide polymorphisms at edited sites occur 3 (humans) to 15 times (Drosophila) more often than at unedited sites, the nucleotide G is virtually the unique alternative allele at edited sites and G alleles segregate at higher frequency at edited sites than at unedited sites. Our study reveals that a significant fraction of coding synonymous and nonsynonymous as well as silent and intergenic A-to-I RNA editing sites are likely adaptive in the distantly related human and Drosophila lineages.

Indexed as

Evolution, MolecularGenomeRNA EditingAdenosineAnimalsDrosophila melanogasterHumansInosineAdenosineInosineDrosophilahumannatural selectionRNA editing

Identifiers

PMID32145015
PMCPMC7186786

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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.