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

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• 作者：Silvia T. Rodríguez-Ramilo (1) (2)
  Roberto De La Herrán (3)
  Carmelo Ruiz-Rejón (3)
  Miguel Hermida (4)
  Carlos Fernández (4)
  Patricia Pereiro (5)
  Antonio Figueras (5)
  Carmen Bouza (4)
  Miguel A. Toro (6)
  Paulino Martínez (4)
  Jesús Fernández (2)
  
• 关键词：QTL ; Turbot ; Viral haemorrhagic septicaemia ; Linear regression ; Maximum likelihood
• 刊名：Marine Biotechnology
• 出版年：2014
• 出版时间：June 2014
• 年：2014
• 卷：16
• 期：3
• 页码：265-276
• 全文大小：
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• 作者单位：Silvia T. Rodríguez-Ramilo (1) (2)
  Roberto De La Herrán (3)
  Carmelo Ruiz-Rejón (3)
  Miguel Hermida (4)
  Carlos Fernández (4)
  Patricia Pereiro (5)
  Antonio Figueras (5)
  Carmen Bouza (4)
  Miguel A. Toro (6)
  Paulino Martínez (4)
  Jesús Fernández (2)
  
  1. Departamento de Bioquímica, Genética e Inmunología, Facultad de Biología, Universidad de Vigo, 36310, Vigo, Spain
  2. Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Ctra. A Coru?a Km. 7.5, 28040, Madrid, Spain
  3. Departamento de Genética, Facultad de Ciencias, Universidad de Granada, Avenida Fuentenueva s/n, 18071, Granada, Spain
  4. Departamento de Genética, Facultad de Veterinaria, Universidad de Santiago de Compostela, Campus de Lugo, 27002, Lugo, Spain
  5. Instituto de Investigaciones Marinas, CSIC, Eduardo Cabello 6, 36208, Vigo, Spain
  6. Departamento de Producción Animal, ETS Ingenieros Agrónomos, Universidad Politécnica de Madrid, Ciudad Universitaria, 28040, Madrid, Spain
  
• ISSN：1436-2236

文摘

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.