Evidence map›Paper›PMID 27189995›Full record

ArticleGenome biology and evolution2016

Evolutionary Transitions of MicroRNA-Target Pairs.

Masafumi Nozawa, Mai Fujimi, Chie Iwamoto, Kanako Onizuka, Nana Fukuda, Kazuho Ikeo, Takashi Gojobori

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. MicroRNAs: From Mechanism to Organism.Frontiers in cell and developmental biology · 2020
    Review
  8. Article
  9. Article
  10. MicroRNAs regulate the sesquiterpenoid hormonal pathway inProceedings. Biological sciences · 2017
    Article
  11. Article
  12. Article
  13. Review
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 at 2 institutions in 2 countries.

Masafumi NozawaCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan Department of Genetics, SOKENDAI, Shizuoka, Japan manozawa@tmu.ac.jp.
Mai FujimiCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
Chie IwamotoCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
Kanako OnizukaCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
Nana FukudaCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan.
Kazuho IkeoCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan Department of Genetics, SOKENDAI, Shizuoka, Japan.
Takashi GojoboriCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan King Abdullah University of Science and Technology, Computational Bioscience Research Center, Biological and Environmental Science and Engineering, Thuwal, Kingdom of Saudi Arabia.
National Institute of Genetics · JPThe Graduate University for Advanced Studies, SOKENDAI · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How newly generated microRNA (miRNA) genes are integrated into gene regulatory networks during evolution is fundamental in understanding the molecular and evolutionary bases of robustness and plasticity in gene regulation. A recent model proposed that after the birth of a miRNA, the miRNA is generally integrated into the network by decreasing the number of target genes during evolution. However, this decreasing model remains to be carefully examined by considering in vivo conditions. In this study, we therefore compared the number of target genes among miRNAs with different ages, combining experiments with bioinformatics predictions. First, we focused on three Drosophila miRNAs with different ages. As a result, we found that an older miRNA has a greater number of target genes than a younger miRNA, suggesting the increasing number of targets for each miRNA during evolution (increasing model). To further confirm our results, we also predicted all target genes for all miRNAs in D. melanogaster, considering co-expression of miRNAs and mRNAs in vivo The results obtained also do not support the decreasing model but are reasonably consistent with the increasing model of miRNA-target pairs. Furthermore, our large-scale analyses of currently available experimental data of miRNA-target pairs also showed a weak but the same trend in humans. These results indicate that the current decreasing model of miRNA-target pairs should be reconsidered and the increasing model may be more appropriate to explain the evolutionary transitions of miRNA-target pairs in many organisms.

Indexed as

Evolution, MolecularGene Expression Regulation3' Untranslated RegionsAnimalsAnimals, Genetically ModifiedDrosophila melanogasterDrosophila ProteinsMicroRNAsModels, GeneticRNA, Messenger3' Untranslated RegionsDrosophila ProteinsMicroRNAsMIRN277 microRNA, DrosophilaMIRN954 microRNA, DrosophilaMIRN982 microRNA, DrosophilaRNA, Messengerbioinformatics predictiongene regulationRNA-seqsmall RNAtransgenic fly

Identifiers

PMID27189995
PMCPMC4898806
OpenAlexW2344094490

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.