Detection of growth-related QTLs in turbot (Scophtalmus maximux)

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 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.

Modelos matemáticos del crecimiento, alimentación y respiración de la trucha arco iris, salmón, tenca, anguila, rodaballo, lenguado, lubina, dorada y seriola. Aplicación al diseño de instalaciones de cultivo

En esta tesis, en su primera parte, se desarrollan modelos matemáticos para tratar de predecir el crecimiento en condiciones normales de cultivo de las siguientes especies: Trucha arco iris (Salmo garidneri), salmón (Salmón salar), tenca (Tinca tinca), anguila (Anguilla anguilla), rodaballo (Scophthalmus maximus), lenguado (Solea solea), lubina (Dicentrarchus labrax), dorada (Sparus aurata) y seriola japonesa (Seriola quinqueradiata). En la segunda parte, en base a postulados fisiológicos, se desarrollan modelos bioenergéticos que tratan de cuantificar la alimentación, crecimiento, respiración, excreción de productos nitrogenados y pérdidas fecales, en función de la tasa de alimentación, para las especies indicadas anteriormente. En la tercera parte se indican posibles utilizaciones de estos modelos para el cálculo del planning de producción, necesidades de agua y necesidades de estanques, para el caso de un cultivo intensivo de estas especies. ABSTRACT In this Doctorate Thesis, the first part is dedicated to the development of mathematical models, in order to estimate the growth, under normal culture conditions, of the following species: Rainbow trout (Salmo gairdneri)/ salmon (Salmo salara, tench (Tinca tinca), eel (Anguilla anguilla), turbot (Scophthalmus maximus), sole (Solea solea), seabass (Dicentrarchus labrax), seabream (Sparus aurata), and yellowtail (Seriola guingueradiata). In the second part, in basis to physiological postulates, bioenergetic models are developed. These models try to quantify the feeding, growth, excretion of nitrogenous and fecal products, according to the feeding rate, for the above mentioned species. In the third part, possible aplications of these models are indicated, including the production planning as well as water pond requirements for an intensive culture of the mentioned species.