Evidence map›Paper›PMID 24942624›Full record

ArticleRNA (New York, N.Y.)2014

Adaptive evolution of testis-specific, recently evolved, clustered miRNAs in Drosophila.

Jaaved Mohammed, Diane Bortolamiol-Becet, Alex S Flynt, Ilan Gronau, Adam Siepel, Eric C Lai

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Rapidly Evolving X-linkedbioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Small RNA Universe ofFrontiers in molecular biosciences · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Death of new microRNA genes inGenome research · 2018
    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

6 authors.

Jaaved MohammedDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York 10065, USA.
Diane Bortolamiol-BecetDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA.
Alex S FlyntDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA.
Ilan GronauDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA.
Adam SiepelDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA.
Eric C LaiDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 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
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
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 CA008748NIGMS NIH HHS 1T32-GM083937NIGMS 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 propensity of animal miRNAs to regulate targets bearing modest complementarity, most notably via pairing with miRNA positions ∼2-8 (the "seed"), is believed to drive major aspects of miRNA evolution. First, minimal targeting requirements have allowed most conserved miRNAs to acquire large target cohorts, thus imposing strong selection on miRNAs to maintain their seed sequences. Second, the modest pairing needed for repression suggests that evolutionarily nascent miRNAs may generally induce net detrimental, rather than beneficial, regulatory effects. Hence, levels and activities of newly emerged miRNAs are expected to be limited to preserve the status quo of gene expression. In this study, we unexpectedly show that Drosophila testes specifically express a substantial miRNA population that contravenes these tenets. We find that multiple genomic clusters of testis-restricted miRNAs harbor recently evolved miRNAs, whose experimentally verified orthologs exhibit divergent sequences, even within seed regions. Moreover, this class of miRNAs exhibits higher expression and greater phenotypic capacities in transgenic misexpression assays than do non-testis-restricted miRNAs of similar evolutionary age. These observations suggest that these testis-restricted miRNAs may be evolving adaptively, and several methods of evolutionary analysis provide strong support for this notion. Consistent with this, proof-of-principle tests show that orthologous miRNAs with divergent seeds can distinguish target sensors in a species-cognate manner. Finally, we observe that testis-restricted miRNA clusters exhibit extraordinary dynamics of miRNA gene flux in other Drosophila species. Altogether, our findings reveal a surprising tissue-directed influence of miRNA evolution, involving a distinct mode of miRNA function connected to adaptive gene regulation in the testis.

Indexed as

Adaptation, BiologicalBiological EvolutionMultigene FamilyAnimalsBase SequenceCluster AnalysisConserved SequenceDrosophilaEvolution, MolecularGene ExpressionGene Expression ProfilingGenetic VariationMaleMicroRNAsMolecular Sequence DataOrgan SpecificityMicroRNAsDrosophilamicroRNA clusterspositive selectiontestis specifictissue specific

Identifiers

PMID24942624
PMCPMC4105746

What OpenQuestion holds

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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.