Evidence map›Paper›PMID 26931235›Full record

ArticleBMC genomics2016

Characterization of an extensive rainbow trout miRNA transcriptome by next generation sequencing.

Amelie Juanchich, Philippe Bardou, Olivier Rué, Jean-Charles Gabillard, Christine Gaspin, Julien Bobe, Yann Guiguen

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  18. Potential immune regulatory role of miR-146a upon Aeromonas hydrophila and Edwardsiella piscicida infections in zebrafish.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
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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

7 authors.

Amelie JuanchichINRA, UR1037 LPGP, Campus de Beaulieu, F-35000, Rennes, France. amelie.juanchich@tours.inra.fr.
Philippe BardouINRA, UMR1388, Plate-forme SIGENAE/GenPhySE, Chemin de Borde Rouge, Auzeville CS 52627, F-31326, Castanet-Tolosan, France. philippe.bardou@toulouse.inra.fr.
Olivier RuéINRA, UR875 Plate-forme GenoToul Bioinfo, Chemin de Borde Rouge, Auzeville CS 52627, F-31326, Castanet-Tolosan, France. olivier.rue@toulouse.inra.fr.
Jean-Charles GabillardINRA, UR1037 LPGP, Campus de Beaulieu, F-35000, Rennes, France. jean-charles.gabillard@rennes.inra.fr.
Christine GaspinINRA, UR875 Plate-forme GenoToul Bioinfo, Chemin de Borde Rouge, Auzeville CS 52627, F-31326, Castanet-Tolosan, France. christine.gaspin@toulouse.inra.fr.
Julien BobeINRA, UR1037 LPGP, Campus de Beaulieu, F-35000, Rennes, France. julien.bobe@rennes.inra.fr.
Yann GuiguenINRA, UR1037 LPGP, Campus de Beaulieu, F-35000, Rennes, France. yann.guiguen@rennes.inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) have emerged as important post-transcriptional regulators of gene expression in a wide variety of physiological processes. They can control both temporal and spatial gene expression and are believed to regulate 30 to 70% of the genes. Data are however limited for fish species, with only 9 out of the 30,000 fish species present in miRBase. The aim of the current study was to discover and characterize rainbow trout (Oncorhynchus mykiss) miRNAs in a large number of tissues using next-generation sequencing in order to provide an extensive repertoire of rainbow trout miRNAs.

resultsA total of 38 different samples corresponding to 16 different tissues or organs were individually sequenced and analyzed independently in order to identify a large number of miRNAs with high confidence. This led to the identification of 2946 miRNA loci in the rainbow trout genome, including 445 already known miRNAs. Differential expression analysis was performed in order to identify miRNAs exhibiting specific or preferential expression among the 16 analyzed tissues. In most cases, miRNAs exhibit a specific pattern of expression in only a few tissues. The expression data from sRNA sequencing were confirmed by RT-qPCR. In addition, novel miRNAs are described in rainbow trout that had not been previously reported in other species.

conclusionThis study represents the first characterization of rainbow trout miRNA transcriptome from a wide variety of tissue and sets an extensive repertoire of rainbow trout miRNAs. It provides a starting point for future studies aimed at understanding the roles of miRNAs in major physiological process such as growth, reproduction or adaptation to stress. These rainbow trout miRNAs repertoire provide a novel resource to advance genomic research in salmonid species.

Indexed as

TranscriptomeAnimalsHigh-Throughput Nucleotide SequencingMicroRNAsOncorhynchus mykissSequence Analysis, RNAMicroRNAs

Identifiers

PMID26931235
PMCPMC4774146

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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.