Evidence map›Paper›PMID 34335683›Full record

ArticleFrontiers in genetics2021

Optimization of Genomic Selection to Improve Disease Resistance in Two Marine Fishes, the European Sea Bass (

Ronan Griot, François Allal, Florence Phocas, Sophie Brard-Fudulea, Romain Morvezen, Pierrick Haffray, Yoannah François, Thierry Morin, Anastasia Bestin, Jean-Sébastien Bruant and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Thermal and Nutritional Strategies for ManagingAnimals : an open access journal from MDPI · 2025
    Review
  5. Article
  6. Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. What Can Genetics Do for the Control of Infectious Diseases in Aquaculture?Animals : an open access journal from MDPI · 2022
    Review
  13. Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Ronan GriotSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
François AllalMARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France.
Florence PhocasUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.
Sophie Brard-FuduleaSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Romain MorvezenSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Pierrick HaffraySYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Yoannah FrançoisSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Thierry MorinANSES, Ploufragan-Plouzané-Niort Laboratory, Viral Fish Diseases Unit, National Reference Laboratory for Regulated Fish Diseases, Technopôle Brest-Iroise, Plouzané, France.
Anastasia BestinSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Jean-Sébastien BruantFerme Marine du Douhet, La Brée Les Bains, France.
Sophie CariouFerme Marine du Douhet, La Brée Les Bains, France.
Bruno PeyrouEcloserie Marine de Gravelines-Ichtus, Gravelines, France.
Joseph BrunierEcloserie Marine de Gravelines-Ichtus, Gravelines, France.
Marc VandeputteUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.
Syndicat des Sélectionneurs Avicoles et Aquacoles Français · FRCentre National de la Recherche Scientifique · FRAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRAgroParisTech · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease outbreaks are a major threat to the aquaculture industry, and can be controlled by selective breeding. With the development of high-throughput genotyping technologies, genomic selection may become accessible even in minor species. Training population size and marker density are among the main drivers of the prediction accuracy, which both have a high impact on the cost of genomic selection. In this study, we assessed the impact of training population size as well as marker density on the prediction accuracy of disease resistance traits in European sea bass (

Indexed as

aquaculturedicentrarchus labraxdisease resistancegenomic selectionSparus aurata

Identifiers

PMID34335683
PMCPMC8317601
OpenAlexW3180685823

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.