Evidence map›Paper›PMID 23882112›Full record

ArticleRNA (New York, N.Y.)2013

The impact of age, biogenesis, and genomic clustering on Drosophila microRNA evolution.

Jaaved Mohammed, Alex S Flynt, Adam Siepel, Eric C Lai

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2013. 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
–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

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.

  1. Review
  2. Parameters of clustered suboptimal miRNA biogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Jaaved MohammedDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA.
Alex S Flynt
Adam Siepel
Eric C Lai

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Selective regulatory and biogenesis mechanisms for microRNAsR01GM083300 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2007 to 2026
$9.8M
A Data Analysis Center for integration of fly and worm modENCODE datasetsRC2HG005639 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2009 to 2011
$4.1M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
Annotation of the small RNA/microRNA component Drosophila genomeU01HG004261 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI LAI, ERIC C · 2007 to 2011
$2.5M
Computational methods for human genomic data integration: demography, selection,R01GM102192 · NIGMS · CORNELL UNIVERSITY · PI SIEPEL, ADAM CHARLES · 2013 to 2017
$1.7M
NCI NIH HHS P30 CA008748NHGRI NIH HHS RC2 HG005639NHGRI NIH HHS RC2-HG005639NHGRI NIH HHS U01 HG004261NHGRI NIH HHS U01-HG004261NIGMS NIH HHS 1T32GM083937NIGMS NIH HHS R01 GM083300NIGMS NIH HHS R01-GM083300NIGMS NIH HHS R01 GM102192NIGMS NIH HHS R01-GM102192NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

The molecular evolutionary signatures of miRNAs inform our understanding of their emergence, biogenesis, and function. The known signatures of miRNA evolution have derived mostly from the analysis of deeply conserved, canonical loci. In this study, we examine the impact of age, biogenesis pathway, and genomic arrangement on the evolutionary properties of Drosophila miRNAs. Crucial to the accuracy of our results was our curation of high-quality miRNA alignments, which included nearly 150 corrections to ortholog calls and nucleotide sequences of the global 12-way Drosophilid alignments currently available. Using these data, we studied primary sequence conservation, normalized free-energy values, and types of structure-preserving substitutions. We expand upon common miRNA evolutionary patterns that reflect fundamental features of miRNAs that are under functional selection. We observe that melanogaster-subgroup-specific miRNAs, although recently emerged and rapidly evolving, nonetheless exhibit evolutionary signatures that are similar to well-conserved miRNAs and distinct from other structured noncoding RNAs and bulk conserved non-miRNA hairpins. This provides evidence that even young miRNAs may be selected for regulatory activities. More strikingly, we observe that mirtrons and clustered miRNAs both exhibit distinct evolutionary properties relative to solo, well-conserved miRNAs, even after controlling for sequence depth. These studies highlight the previously unappreciated impact of biogenesis strategy and genomic location on the evolutionary dynamics of miRNAs, and affirm that miRNAs do not evolve as a unitary class.

Indexed as

Evolution, MolecularGenome, InsectMultigene FamilyAnimalsBase SequenceComputational BiologyConserved SequenceDrosophilaMicroRNAsModels, GeneticMicroRNAsDrosophilamicroRNA clustersmicroRNA evolutionmirtronsstructure evolution

Identifiers

PMID23882112
PMCPMC3753935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.