RESEARCH ARTICLE Open Access Detection of growth-related QTL in turbot (Scophthalmus maximus)

• Main Authors: Enrique Sánchez-molano, Alex Cerna, Miguel A Toro, Carmen Bouza, Miguel Hermida, Belén G Pardo, Santiago Cabaleiro, Jesús Fernández, Paulino Martínez
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Scophthalmus maximus; Turbot
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.290.1643

Background: The 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. Results: Eight 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. Conclusions: The 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