Evidence map›Paper›PMID 37143017›Full record

ArticleGenetics, selection, evolution : GSE2023

Whole-genome sequencing identifies interferon-induced protein IFI6/IFI27-like as a strong candidate gene for VNN resistance in European sea bass.

Emilie Delpuech, Marc Vandeputte, Romain Morvezen, Anastasia Bestin, Mathieu Besson, Joseph Brunier, Aline Bajek, Boudjema Imarazene, Yoannah François, Olivier Bouchez and 8 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

18 authors at 8 institutions in 3 countries.

Emilie DelpuechMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, INRAE, 34250, Palavas-Les-Flots, France. emilie.delpuech@inrae.fr.ORCID http://orcid.org/0000-0003-0848-4903
Marc VandeputteMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, INRAE, 34250, Palavas-Les-Flots, France.
Romain MorvezenSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, 35042, Rennes, France.
Anastasia BestinSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, 35042, Rennes, France.
Mathieu BessonSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, 35042, Rennes, France.
Joseph BrunierEcloserie Marine de Gravelines-Ichtus, Gloria Maris Group, 59273, Gravelines, France.
Aline BajekEcloserie Marine de Gravelines-Ichtus, Gloria Maris Group, 59273, Gravelines, France.
Boudjema ImarazeneFermes Marines Du Soleil, 17840, La Brée Les Bains, France.
Yoannah FrançoisSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, 35042, Rennes, France.
Olivier BouchezUS 1426, GeT-PlaGe, INRAE, Genotoul, Castanet-Tolosan, France.
Xavier CousinMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, INRAE, 34250, Palavas-Les-Flots, France.
Charles PoncetINRAE-UCA, UMR 1095 GDEC, 63000, Clermont-Ferrand, France.
Thierry MorinANSES, Unit Virology, Immunology and Ecotoxicology of Fish, Technopôle Brest-Iroise, 29280, Plouzané, France.
Jean-Sébastien BruantFermes Marines Du Soleil, 17840, La Brée Les Bains, France.
Béatrice ChatainMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, INRAE, 34250, Palavas-Les-Flots, France.
Pierrick HaffraySYSAAF, Station LPGP/INRAE, Campus de Beaulieu, 35042, Rennes, France.
Florence PhocasUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
François AllalMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, INRAE, 34250, Palavas-Les-Flots, France.
Centre National de la Recherche Scientifique · FRSyndicat des Sélectionneurs Avicoles et Aquacoles Français · FRÉcole nationale d'ingénieurs de Brest · FRLaboratoire de Biotechnologie et Chimie Marines · FRMarvell (Israel) · ILAgroParisTech · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversité Clermont Auvergne · FR

Funding

FEAMP FEA470016FA1000005FEAMP FEA470020FA1000002
6 · The paper itself

Abstract

backgroundViral nervous necrosis (VNN) is a major disease that affects European sea bass, and understanding the biological mechanisms that underlie VNN resistance is important for the welfare of farmed fish and sustainability of production systems. The aim of this study was to identify genomic regions and genes that are associated with VNN resistance in sea bass.

resultsWe generated a dataset of 838,451 single nucleotide polymorphisms (SNPs) identified from whole-genome sequencing (WGS) in the parental generation of two commercial populations (A: 2371 individuals and B: 3428 individuals) of European sea bass with phenotypic records for binary survival in a VNN challenge. For each population, three cohorts were submitted to a red-spotted grouper nervous necrosis virus (RGNNV) challenge by immersion and genotyped on a 57K SNP chip. After imputation of WGS SNPs from their parents, quantitative trait loci (QTL) were mapped using a Bayesian sparse linear mixed model (BSLMM). We found several QTL regions that were specific to one of the populations on different linkage groups (LG), and one 127-kb QTL region on LG12 that was shared by both populations and included the genes ZDHHC14, which encodes a palmitoyltransferase, and IFI6/IFI27-like, which encodes an interferon-alpha induced protein. The most significant SNP in this QTL region was only 1.9 kb downstream of the coding sequence of the IFI6/IFI27-like gene. An unrelated population of four large families was used to validate the effect of the QTL. Survival rates of susceptible genotypes were 40.6% and 45.4% in populations A and B, respectively, while that of the resistant genotype was 66.2% in population B and 78% in population A.

conclusionsWe have identified a genomic region that carries a major QTL for resistance to VNN and includes the ZDHHC14 and IFI6/IFI27-like genes. The potential involvement of the interferon pathway, a well-known anti-viral defense mechanism in several organisms (chicken, human, or fish), in survival to VNN infection is of particular interest. Our results can lead to major improvements for sea bass breeding programs through marker-assisted genomic selection to obtain more resistant fish.

Indexed as

BassFish DiseasesAnimalsBayes TheoremHumansInterferonsMembrane ProteinsMitochondrial ProteinsNecrosisQuantitative Trait LociIFI27 protein, humanIFI6 protein, humanInterferonsMembrane ProteinsMitochondrial Proteins

Identifiers

PMID37143017
PMCPMC10161657
OpenAlexW4368364186

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.