Identification of quantitative trait loci associated with resistance to viral haemorrhagic septicaemia (VHS) in turbot (Scophthalmus maximus ) : a comparison between bacterium, parasite and virus diseases

• Published in: Marine Biotechnology
• Main Authors: Rodríguez-Ramilo, Silvia T., De La Herrán, Roberto, Ruiz-Rejón, Carmelo, Hermida, Miguel, Fernández, Carlos, Pereiro, Patricia, Figueras, Antonio, Bouza, Carmen, Toro, Miguel A., Martínez, Paulino, Fernández, Jesús
• Other Authors: Dept Mejora Genet Anim, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Universidade de Vigo, Dept Genet, Universidad de Granada (UGR), University of Sandiago de Compostela, Instituto de Agroquímica y Tecnología de Alimentos - Institute of Agrochemistry and Food Technology Valencia (IATA-CSIC), Chercheur indépendant, Dept Anim Prod, Universidad Politécnica de Madrid (UPM), University of Santiago de Compostela
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2014
• Subjects: qtl; turbot; viral haemorrhagic septicaemia; linear regression; maximum likelihood; [SDV]Life Sciences [q-bio]; Scophthalmus maximus; Turbot
• Online Access: https://hal.archives-ouvertes.fr/hal-01448408; https://doi.org/10.1007/s10126-013-9544-x

One of the main objectives of genetic breeding programs in turbot industry is to reduce disease-related mortality. In the present study, a genome scan to detect quantitative trait loci (QTL) affecting resistance and survival to viral haemorrhagic septicaemia (VHS) was carried out. Three full-sib families with approximately 90 individuals each were genotyped and evaluated by linear regression and maximum likelihood approaches. In addition, a comparison between QTL detected for resistance and survival time to other important bacterial and parasite diseases affecting turbot (furunculosis and scuticociliatosis) was also carried out. Finally, the relationship between QTL affecting resistance/survival time to the virus and growth-related QTL was also evaluated. Several genomic regions controlling resistance and survival time to VHS were detected. Also significant associations between the evaluated traits and genotypes at particular markers were identified, explaining up to 14 % of the phenotypic variance. Several genomic regions controlling general and specific resistance to different diseases in turbot were detected. A preliminary gene mining approach identified candidate genes related to general or specific immunity. This information will be valuable to develop marker-assisted selection programs and to discover candidate genes related to disease resistance to improve turbot production.