Evidence map›Paper›PMID 23626677›Full record

ArticlePloS one2013

Characterization of novel precursor miRNAs using next generation sequencing and prediction of miRNA targets in Atlantic halibut.

Teshome Tilahun Bizuayehu, Jorge M O Fernandes, Steinar D Johansen, Igor Babiak

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In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  6. Article
  7. A new model army: Emerging fish models to study the genomics of vertebrate Evo-Devo.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2015
    Review
  8. Article
  9. Article
  10. MicroRNA in teleost fish.Genome biology and evolution · 2014
    Review
  11. Article
  12. Article
4 · The record

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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.

Teshome Tilahun BizuayehuFaculty of Biosciences and Aquaculture, University of Nordland, Bodø, Norway.
Jorge M O Fernandes
Steinar D Johansen
Igor Babiak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmicroRNAs (miRNAs) are implicated in regulation of many cellular processes. miRNAs are processed to their mature functional form in a step-wise manner by multiple proteins and cofactors in the nucleus and cytoplasm. Many miRNAs are conserved across vertebrates. Mature miRNAs have recently been characterized in Atlantic halibut (Hippoglossus hippoglossus L.). The aim of this study was to identify and characterize precursor miRNA (pre-miRNAs) and miRNA targets in this non-model flatfish. Discovery of miRNA precursor forms and targets in non-model organisms is difficult because of limited source information available. Therefore, we have developed a methodology to overcome this limitation.

methodsGenomic DNA and small transcriptome of Atlantic halibut were sequenced using Roche 454 pyrosequencing and SOLiD next generation sequencing (NGS), respectively. Identified pre- miRNAs were further validated with reverse-transcription PCR. miRNA targets were identified using miRanda and RNAhybrid target prediction tools using sequences from public databases. Some of miRNA targets were also identified using RACE-PCR. miRNA binding sites were validated with luciferase assay using the RTS34st cell line.

resultsWe obtained more than 1.3 M and 92 M sequence reads from 454 genomic DNA sequencing and SOLiD small RNA sequencing, respectively. We identified 34 known and 9 novel pre-miRNAs. We predicted a number of miRNA target genes involved in various biological pathways. miR-24 binding to kisspeptin 1 receptor-2 (kiss1-r2) was confirmed using luciferase assay.

conclusionThis study demonstrates that identification of conserved and novel pre-miRNAs in a non-model vertebrate lacking substantial genomic resources can be performed by combining different next generation sequencing technologies. Our results indicate a wide conservation of miRNA precursors and involvement of miRNA in multiple regulatory pathways, and provide resources for further research on miRNA in non-model animals.

Indexed as

GenomeAnimalsBase SequenceBinding SitesCell LineConserved SequenceFish ProteinsFlounderGene Expression ProfilingGene Expression RegulationGenes, ReporterHigh-Throughput Nucleotide SequencingLuciferasesMicroRNAsMolecular Sequence DataNucleic Acid ConformationFish ProteinsLuciferasesMicroRNAsReceptors, G-Protein-CoupledRNA Precursors

Identifiers

PMID23626677
PMCPMC3634072

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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.