Evidence map›Paper›PMID 32012152›Full record

ArticlePLoS genetics2020

Evolutionary dynamics of microRNA target sites across vertebrate evolution.

Alfred Simkin, Rene Geissler, Alexa B R McIntyre, Andrew Grimson

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  17. [Research advances on the role of competing endogenous RNAs in wound healing].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2022
    Article
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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 2 institutions in 1 country.

Alfred SimkinDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0001-9408-0053
Rene GeisslerDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.
Alexa B R McIntyreDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.
Andrew GrimsonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0002-5794-6484
Cornell University · USElon University · US

Funding

Identifying cis and trans factors required for microRNA functionR01GM105668 · NIGMS · CORNELL UNIVERSITY · PI GRIMSON, ANDREW W · 2013 to 2017
$1.5M
NIGMS NIH HHS R01 GM105668
6 · The paper itself

Abstract

MicroRNAs (miRNAs) control the abundance of the majority of the vertebrate transcriptome. The recognition sequences, or target sites, for bilaterian miRNAs are found predominantly in the 3' untranslated regions (3'UTRs) of mRNAs, and are amongst the most highly conserved motifs within 3'UTRs. However, little is known regarding the evolutionary pressures that lead to loss and gain of such target sites. Here, we quantify the selective pressures that act upon miRNA target sites. Notably, selective pressure extends beyond deeply conserved binding sites to those that have undergone recent substitutions. Our approach reveals that even amongst ancient animal miRNAs, which exert the strongest selective pressures on 3'UTR sequences, there are striking differences in patterns of target site evolution between miRNAs. Considering only ancient animal miRNAs, we find three distinct miRNA groups, each exhibiting characteristic rates of target site gain and loss during mammalian evolution. The first group both loses and gains sites rarely. The second group shows selection only against site loss, with site gains occurring at a neutral rate, whereas the third loses and gains sites at neutral or above expected rates. Furthermore, mutations that alter the strength of existing target sites are disfavored. Applying our approach to individual transcripts reveals variation in the distribution of selective pressure across the transcriptome and between miRNAs, ranging from strong selection acting on a small subset of targets of some miRNAs, to weak selection on many targets for other miRNAs. miR-20 and miR-30, and many other miRNAs, exhibit broad, deeply conserved targeting, while several other comparably ancient miRNAs show a lack of selective constraint, and a small number, including mir-146, exhibit evidence of rapidly evolving target sites. Our approach adds valuable perspective on the evolution of miRNAs and their targets, and can also be applied to characterize other 3'UTR regulatory motifs.

Indexed as

Evolution, MolecularSelection, Genetic3' Untranslated RegionsAnimalsBinding SitesGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsMutationRNA, MessengerTranscriptome3' Untranslated RegionsMicroRNAsRNA, Messenger

Identifiers

PMID32012152
PMCPMC7018135
OpenAlexW3004100213

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.