A new SNP-based vision of the genetics of sex determination in European sea bass (Dicentrarchus labrax)

Christos Palaiokostas, Michaël Bekaert, John B Taggart, Karim Gharbi, Brendan J McAndrew, Béatrice Chatain, David J Penman, Marc Vandeputte

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

BACKGROUND: European sea bass (Dicentrarchus labrax) is one of the most important farmed species in Mediterranean aquaculture. The observed sexual growth and maturity dimorphism in favour of females adds value towards deciphering the sex determination system of this species. Current knowledge indicates the existence of a polygenic sex determining determination system that interacts with temperature. This was explored by restriction-site associated DNA (RAD) marker analysis in a test panel of 175 offspring that originated from a factorial cross between two dams and four sires from a single full-sib family.

RESULTS: The first high-density single nucleotide polymorphism (SNP) based linkage map for sea bass was constructed, consisting of 6706 SNPs on 24 linkage groups. Indications for putative sex-determining QTL (quantitative trait loci) that were significant at the genome-wide threshold were detected on linkage groups 6, 11 and 18 to 21, although a genome-wide association study (GWAS) did not identify individual significant SNPs at a genome-wide threshold. A preliminary genomic prediction approach that tested the efficiency of SNP-based selection for female sea bass showed a slight advantage compared to traditional pedigree-based selection. However, when the same models were tested on the same animals for selection for greater length, a clear advantage of the SNP-based selection was observed.

CONCLUSIONS: Overall, the results of this study provide additional support to the polygenic sex determination hypothesis in sea bass. In addition, identification of sex-ratio QTL may provide new opportunities for sex-ratio control in sea bass.

Original languageEnglish
Article number148
Number of pages68
JournalGenetics Selection Evolution
Volume47
Issue number1
DOIs
Publication statusPublished - 1 Dec 2015

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