Evidence map›Paper›PMID 33794770›Full record

ArticleGenetics, selection, evolution : GSE2021

Resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax L.): heritability and relationships with body weight, cortisol concentration, and antibody titer.

Sara Faggion, Daniela Bertotto, Massimiliano Babbucci, Giulia Dalla Rovere, Rafaella Franch, Mauro Bovolenta, Stanislas Laureau, Francesco Pascoli, Anna Toffan, Luca Bargelloni and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 22 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

11 authors at 2 institutions in 1 country.

Sara FaggionDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
Daniela BertottoDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy. daniela.bertotto@unipd.it.ORCID http://orcid.org/0000-0002-1370-8679
Massimiliano BabbucciDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
Giulia Dalla RovereDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
Rafaella FranchDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
Mauro BovolentaValle Cà Zuliani Società Agricola Srl, Conselice, RA, Italy.
Stanislas LaureauValle Cà Zuliani Società Agricola Srl, Conselice, RA, Italy.
Francesco PascoliIstituto Zooprofilattico Sperimentale Delle Venezie, National Reference Laboratory (NRL) for Diseases of Fish, Mollusk and Crustacean, Legnaro, PD, Italy.
Anna ToffanIstituto Zooprofilattico Sperimentale Delle Venezie, National Reference Laboratory (NRL) for Diseases of Fish, Mollusk and Crustacean, Legnaro, PD, Italy.
Luca BargelloniDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
Paolo CarnierDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
University of Padua · ITIstituto Zooprofilattico Sperimentale delle Venezie · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSusceptibility of European sea bass (Dicentrarchus labrax L.) to viral nervous necrosis (VNN) is well-known. Interest towards selective breeding as a tool to enhance genetic resistance in this species has increased sharply due to the major threat represented by VNN for farmed sea bass and limitations concerning specific therapeutical measures. A sea bass experimental population (N = 650) was challenged with nervous necrosis virus (NNV) to investigate genetic variation in VNN mortality. In addition, relationships of this trait with serum cortisol concentration after stress exposure, antibody titer against NNV antigens, and body weight at a fixed age were studied to identify potential indicator traits of VNN resistance.

resultsThe estimate of heritability for VNN mortality was moderate and ranged from 0.15 (HPD95%, 95% highest posterior density interval: 0.02, 0.31) to 0.23 (HPD95%: 0.06, 0.47). Heritability estimates for cortisol concentration, antibody titer, and body weight were 0.19 (HPD95%: 0.07, 0.34), 0.36 (HPD95%: 0.16, 0.59) and 0.57 (HPD95%: 0.33, 0.84), respectively. Phenotypic relationships between traits were trivial and not statistically significant, except for the estimated correlation between antibody titer and body weight (0.24). Genetic correlations of mortality with body weight or antibody titer (- 0.39) exhibited a 0.89 probability of being negative. A negligible genetic correlation between mortality and cortisol concentration was detected. Antibody titer was estimated to be positively correlated with body weight (0.49).

conclusionsAntibody titer against NNV offers the opportunity to use indirect selection to enhance resistance, while the use of cortisol concentration as an indicator trait in breeding programs for VNN resistance is questionable. The estimate of heritability for VNN mortality indicates the feasibility of selective breeding to enhance resistance to NNV and raises attention to the development of genomic prediction tools to simplify testing procedures for selection candidates.

Indexed as

AnimalsAntibodies, ViralBassBody WeightDisease ResistanceFish DiseasesHydrocortisoneRNA Virus InfectionsAntibodies, ViralHydrocortisone

Identifiers

PMID33794770
PMCPMC8017662
OpenAlexW3149226554

What OpenQuestion holds

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LicenceCC BY
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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.