Evidence map›Paper›PMID 28181038›Full record

ArticleMarine biotechnology (New York, N.Y.)2017

Transcriptomic Profiling of Egg Quality in Sea Bass (Dicentrarchus labrax) Sheds Light on Genes Involved in Ubiquitination and Translation.

Daniel Żarski, Thaovi Nguyen, Aurélie Le Cam, Jérôme Montfort, Gilbert Dutto, Marie Odile Vidal, Christian Fauvel, Julien Bobe

Open access · hybridAbstract read
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

8 authors at 5 institutions in 3 countries.

Daniel ŻarskiDepartment of Lake and River Fisheries, University of Warmia and Mazury, ul. Oczapowskiego 2, 10-719, Olsztyn, Poland. danielzarski@interia.pl.
Thaovi NguyenLPGP, INRA, 35000, Rennes, France.
Aurélie Le CamLPGP, INRA, 35000, Rennes, France.
Jérôme MontfortLPGP, INRA, 35000, Rennes, France.
Gilbert DuttoIFREMER, UMR MARBEC (IRD, IFREMER, CNRS, Université de Montpellier), Station Expérimentale d'Aquaculture, Chemin de Maguelone, 34250, Palavas, France.
Marie Odile VidalIFREMER, UMR MARBEC (IRD, IFREMER, CNRS, Université de Montpellier), Station Expérimentale d'Aquaculture, Chemin de Maguelone, 34250, Palavas, France.
Christian FauvelIFREMER, UMR MARBEC (IRD, IFREMER, CNRS, Université de Montpellier), Station Expérimentale d'Aquaculture, Chemin de Maguelone, 34250, Palavas, France.
Julien BobeLPGP, INRA, 35000, Rennes, France.
Fish Physiology and Genomics Institute · FRCentre National de la Recherche Scientifique · FRInstitut de Recherche pour le Développement · NCMagyar Agrár- és Élettudományi Egyetem · HUMarine Biodiversity Exploitation and Conservation · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variable and low egg quality is a major limiting factor for the development of efficient aquaculture production. This stems from limited knowledge on the mechanisms underlying egg quality in cultured fish. Molecular analyses, such as transcriptomic studies, are valuable tools to identify the most important processes modulating egg quality. However, very few studies have been devoted to this aspect so far. Within this study, the microarray-based transcriptomic analysis of eggs (of different quality) of sea bass (Dicentrarchus labrax) was performed. An Agilent oligo microarray experiment was performed on labelled mRNA extracted from 16 batches of eggs (each batch obtained from a different female) of sea bass, in which over 24,000 published probe arrays were used. We identified 39 differentially expressed genes exhibiting a differential expression between the groups of low (fertilization rate < 60 %) and high (fertilization rate > 60 %) quality. The mRNA levels of eight genes were further analyzed by quantitative PCR. Seven genes were confirmed by qPCR to be differentially expressed in eggs of low and high quality. This study confirmed the importance of some of the genes already reported to be potential molecular quality indicators (mainly rnf213 and irf7), but we also found new genes (mainly usp5, mem-prot, plec, cenpf), which had not yet been reported to be quality-dependent in fish. These results suggest the importance of genes involved in several important processes, such as protein ubiquitination, translation, DNA repair, and cell structure and architecture; these probably being the mechanisms that contribute to egg developmental competence in sea bass.

Indexed as

Genetic FitnessProtein Processing, Post-TranslationalTranscriptomeAnimalsAquacultureBassDNA HelicasesDNA RepairFemaleFish ProteinsGene Expression ProfilingGene OntologyMaleMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisProtein BiosynthesisDNA HelicasesFish ProteinsAquacultureControlled reproductionGenomicsMicroarrayTranscriptomics

Identifiers

PMID28181038
PMCPMC5323488
OpenAlexW2586412672

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.