| Registro completo |
| Provedor de dados: |
ArchiMer
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| País: |
France
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| Título: |
Genome-wide association and genomic prediction of resistance to viral nervous necrosis in European sea bass (Dicentrarchus labrax) using RAD sequencing
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| Autores: |
Palaiokostas, Christos
Cariou, Sophie
Bestin, Anastasia
Bruant, Jean-sebastien
Haffray, Pierrick
Morin, Thierry
Cabon, Joelle
Allal, Francois
Vandeputte, Marc
Houston, Ross D.
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| Data: |
2018-06
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| Ano: |
2018
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| Resumo: |
Background: European sea bass (Dicentrarchus labrax) is one of the most important species for European aquaculture. Viral nervous necrosis (VNN), commonly caused by the redspotted grouper nervous necrosis virus (RGNNV), can result in high levels of morbidity and mortality, mainly during the larval and juvenile stages of cultured sea bass. In the absence of efficient therapeutic treatments, selective breeding for host resistance offers a promising strategy to control this disease. Our study aimed at investigating genetic resistance to VNN and genomic-based approaches to improve disease resistance by selective breeding. A population of 1538 sea bass juveniles from a factorial cross between 48 sires and 17 dams was challenged with RGNNV with mortalities and survivors being recorded and sampled for genotyping by the RAD sequencing approach. Results: We used genome-wide genotype data from 9195 single nucleotide polymorphisms (SNPs) for downstream analysis. Estimates of heritability of survival on the underlying scale for the pedigree and genomic relationship matrices were 0.27 (HPD interval 95%: 0.14-0.40) and 0.43 (0.29-0.57), respectively. Classical genome-wide association analysis detected genome-wide significant quantitative trait loci (QTL) for resistance to VNN on chromosomes (unassigned scaffolds in the case of 'chromosome' 25) 3, 20 and 25 (P < 1e06). Weighted genomic best linear unbiased predictor provided additional support for the QTL on chromosome 3 and suggested that it explained 4% of the additive genetic variation. Genomic prediction approaches were tested to investigate the potential of using genome-wide SNP data to estimate breeding values for resistance to VNN and showed that genomic prediction resulted in a 13% increase in successful classification of resistant and susceptible animals compared to pedigree-based methods, with Bayes A and Bayes B giving the highest predictive ability. Conclusions: Genome-wide significant QTL were identified but each with relatively small effects on the trait. Tests of genomic prediction suggested that incorporating genome-wide SNP data is likely to result in higher accuracy of estimated breeding values for resistance to VNN. RAD sequencing is an effective method for generating such genomewide SNPs, and our findings highlight the potential of genomic selection to breed farmed European sea bass with improved resistance to VNN.
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| Tipo: |
Text
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| Idioma: |
Inglês
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| Identificador: |
https://archimer.ifremer.fr/doc/00445/55676/57357.pdf
DOI:10.1186/s12711-018-0401-2
https://archimer.ifremer.fr/doc/00445/55676/
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| Editor: |
Biomed Central Ltd
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| Relação: |
info:eu-repo/grantAgreement/EC/FP7/613611/EU//FISHBOOST
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| Formato: |
application/pdf
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| Fonte: |
Genetics Selection Evolution (0999-193X) (Biomed Central Ltd), 2018-06 , Vol. 50 , N. 30 , P. 11p.
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| Direitos: |
The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public ...
info:eu-repo/semantics/openAccess
restricted use
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