Genetic parameters and genotype-environment interactions for skeleton deformities and growth traits at different ages on gilthead seabream (Sparus aurata L.) in four Spanish regions.

One of the most important problems of fish aquaculture is the high incidence of fish deformities, which are mainly skeletal. In this study, genetic parameters on gilthead seabream (Sparus aurata L.) for skeleton deformities at different ages (179, 269, 389, 539 and 689 days) and their correlations with growth traits were estimated, as were as their genotype × environment interactions (G × E) at harvesting age. A total of 4093 offspring from the mass spawning of three industrial broodstocks belonging to the PROGENSA(®) breeding programme were mixed and on-grown by different production systems in four Spanish regions: Canary Islands (tanks and cage), Andalusia (estuary), Catalonia (cage) and Murcia (cage). Parental assignment was inferred using the standardized SMsa1 microsatellite multiplex PCR. From three broodstocks, 139 breeders contributed to the spawn and a total of 297 full-sibling families (52 paternal and 53 maternal half-sibling families) were represented. Heritabilities at different ages were medium for growth traits (0.16-0.48) and vertebral deformities (0.16-0.41), and low for any type of deformity (0.07-0.26), head deformities (0.00-0.05) and lack of operculum (0.06-0.11). The genetic correlations between growth and deformity traits were medium and positive, suggesting that to avoid increasing deformities they should be taken into account in breeding programmes when growth is selected. The G × E interactions among the different facilities were weak for length and deformity and strong for growth rate during this period. These results highlight the potential for the gilthead seabream industry to reduce the prevalence of deformities by genetic improvement tools.

[1]  O. Merdy,et al.  Genotype by environment interactions for growth in European seabass (Dicentrarchus labrax) are large when growth rate rather than weight is considered , 2010 .

[2]  E. Groeneveld VCE User's Guide and Reference Manual Version 6.0 , 2010 .

[3]  M. Izquierdo,et al.  Association of a lordosis-scoliosis-kyphosis deformity in gilthead seabream (Sparus aurata) with family structure , 2000, Fish Physiology and Biochemistry.

[4]  S. Tan,et al.  Genetic parameters and response to selection for live weight in the GIFT strain of Nile Tilapia (Oreochromis niloticus) , 2005 .

[5]  Juan M. Afonso,et al.  Estimates of heritabilities and genetic correlations for body composition traits and G × E interactions, in gilthead seabream (Sparus auratus L.) , 2009 .

[6]  Marc Vandeputte,et al.  What is the heritable component of spinal deformities in the European sea bass (Dicentrarchus labrax) , 2009 .

[7]  M. Hulák,et al.  Genetic variation for growth at one and two summers of age in the common carp (Cyprinus carpio L.): Heritability estimates and response to selection , 2008 .

[8]  D. S. Falconer,et al.  Introducción a la genética cuantitativa , 2001 .

[9]  A. Winkelman,et al.  Genetic parameters (heritabilities, dominance ratios and genetic correlations) for body weight and length of chinook salmon after 9 and 22 months of saltwater rearing , 1994 .

[10]  P. Witten,et al.  Skeletal anomalies in reared European fish larvae and juveniles. Part 2: main typologies, occurrences and causative factors , 2013 .

[11]  A. J. Barfoot,et al.  Genotype-by-environment interaction of growth traits in rainbow trout (Oncorhynchus mykiss): a continental scale study. , 2013, Journal of animal science.

[12]  R. Gapasin,et al.  Effects of DHA-enriched live food on growth, survival and incidence of opercular deformities in milkfish (Chanos chanos) , 2001 .

[13]  M. I. Quiroga,et al.  Skeletal anomalies in reared Senegalese sole Solea senegalensis juveniles: a radiographic approach. , 2017, Diseases of aquatic organisms.

[14]  B. Gjerde,et al.  Genetic variation and genotype by location interaction in body weight, spinal deformity and sexual maturity in Atlantic cod (Gadus morhua) reared at different locations off Norway , 2006 .

[15]  M. Izquierdo,et al.  Evaluation of PIT system as a method to tag fingerlings of gilthead seabream (Sparus auratus L.): Effects on growth, mortality and tag loss , 2006 .

[16]  M. Dupont-Nivet,et al.  Heritabilities and correlations of deformities and growth‐related traits in the European sea bass (Dicentrarchus labrax, L) in four different sites , 2013 .

[17]  A. Neumaier,et al.  Restricted maximum likelihood estimation of covariances in sparse linear models , 1998, Genetics Selection Evolution.

[18]  L. A. García-Cortés,et al.  Heritability of skeleton abnormalities (lordosis, lack of operculum) in gilthead seabream (Sparus aurata) supported by microsatellite family data , 2008 .

[19]  W. Muir,et al.  Skeletal problems associated with selection for increased production. , 2003 .

[20]  Y. Borrell,et al.  Development of the first standardised panel of two new microsatellite multiplex PCRs for gilthead seabream (Sparus aurata L.). , 2013, Animal genetics.

[21]  M. Dupont-Nivet,et al.  An evaluation of allowing for mismatches as a way to manage genotyping errors in parentage assignment by exclusion , 2006 .

[22]  C. Hernández‐Cruz,et al.  Effect of DHA content in rotifers on the occurrence of skeletal deformities in red porgy Pagrus pagrus (Linnaeus, 1758) , 2009 .

[23]  M. Vandeputte,et al.  Mouth and fin deformities in common carp: Is there a genetic basis? , 2006 .

[24]  Juan M. Afonso,et al.  Estimates of heritabilities and genetic correlations for growth and carcass traits in gilthead seabream (Sparus auratus L.), under industrial conditions , 2009 .

[25]  L. McKay,et al.  Genetic variation for a spinal deformity in Atlantic salmon, Salmo salar , 1986 .