Detection of growth-related QTL in turbot (Scophthalmus maximus)

BMC Genomics

Research Article

Santiago Cabaleiro¹  Jesús Fernández²  Enrique Sánchez-Molano²  Miguel A Toro³  Alex Cerna³  Miguel Hermida⁴  Belén G Pardo⁴  Paulino Martínez⁴  Carmen Bouza⁴ 

[1] Cluster de la Acuicultura de Galicia (CETGA), Punta de Couso s/n, 15965, Aguiño, Ribeira, Spain;Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Ctra., Coruña Km. 7.5., 28040, Madrid, Spain;Departamento de Producción Animal, ETS Ingenieros Agrónomos, Universidad Politécnica de Madrid, Ciudad Universitaria, 28040, Madrid, Spain;Departamento de Xenética, Universidade de Santiago de Compostela, Facultade de Veterinaria, 27002, Lugo, Spain;

关键词: Linkage Group;    Syntenic Block;    Scophthalmus Maximus;    Associate Marker;    Asian Seabass;   

DOI  :  10.1186/1471-2164-12-473

 received in 2011-03-22, accepted in 2011-09-29,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundThe turbot (Scophthalmus maximus) is a highly appreciated European aquaculture species. Growth related traits constitute the main goal of the ongoing genetic breeding programs of this species. The recent construction of a consensus linkage map in this species has allowed the selection of a panel of 100 homogeneously distributed markers covering the 26 linkage groups (LG) suitable for QTL search. In this study we addressed the detection of QTL with effect on body weight, length and Fulton's condition factor.ResultsEight families from two genetic breeding programs comprising 814 individuals were used to search for growth related QTL using the panel of microsatellites available for QTL screening. Two different approaches, maximum likelihood and regression interval mapping, were used in order to search for QTL. Up to eleven significant QTL were detected with both methods in at least one family: four for weight on LGs 5, 14, 15 and 16; five for length on LGs 5, 6, 12, 14 and 15; and two for Fulton's condition factor on LGs 3 and 16. In these LGs an association analysis was performed to ascertain the microsatellite marker with the highest apparent effect on the trait, in order to test the possibility of using them for marker assisted selection.ConclusionsThe use of regression interval mapping and maximum likelihood methods for QTL detection provided consistent results in many cases, although the high variation observed for traits mean among families made it difficult to evaluate QTL effects. Finer mapping of detected QTL, looking for tightly linked markers to the causative mutation, and comparative genomics are suggested to deepen in the analysis of QTL in turbot so they can be applied in marker assisted selection programs.

【 授权许可】

Unknown   
© Sánchez-Molano et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.