Evidence map›Paper›PMID 23775791›Full record

ArticleNucleic acids research2013

Clusters of microRNAs emerge by new hairpins in existing transcripts.

Antonio Marco, Maria Ninova, Matthew Ronshaugen, Sam Griffiths-Jones

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

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.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 91 citations in OpenAlex.

  1. Allopolyploidization-driven short-term evolution of miRNAs in Brassica A genome.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  4. Parameters of clustered suboptimal miRNA biogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  10. Evolution and Phylogeny of MicroRNAs - Protocols, Pitfalls, and Problems.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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  13. Review
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  15. A genome-wide microRNA screen identifies the microRNA-183/96/182 cluster as a modulator of circadian rhythms.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

4 authors at 1 institution in 1 country.

Antonio MarcoFaculty of Life Sciences, University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK.
Maria Ninova
Matthew Ronshaugen
Sam Griffiths-Jones
University of Manchester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G011346/1Biotechnology and Biological Sciences Research Council BB/H017801/1Wellcome Trust 097820/Z/11/Z
6 · The paper itself

Abstract

Genetic linkage may result in the expression of multiple products from a polycistronic transcript, under the control of a single promoter. In animals, protein-coding polycistronic transcripts are rare. However, microRNAs are frequently clustered in the genomes of animals, and these clusters are often transcribed as a single unit. The evolution of microRNA clusters has been the subject of much speculation, and a selective advantage of clusters of functionally related microRNAs is often proposed. However, the origin of microRNA clusters has not been so far explored. Here, we study the evolution of microRNA clusters in Drosophila melanogaster. We observed that the majority of microRNA clusters arose by the de novo formation of new microRNA-like hairpins in existing microRNA transcripts. Some clusters also emerged by tandem duplication of a single microRNA. Comparative genomics show that these clusters are unlikely to split or undergo rearrangements. We did not find any instances of clusters appearing by rearrangement of pre-existing microRNA genes. We propose a model for microRNA cluster evolution in which selection over one of the microRNAs in the cluster interferes with the evolution of the other linked microRNAs. Our analysis suggests that the study of microRNAs and small RNAs must consider linkage associations.

Indexed as

Evolution, MolecularAnimalsDrosophila melanogasterGenomeMicroRNAsMicroRNAs

Identifiers

PMID23775791
PMCPMC3763532
OpenAlexW2162022646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.