Whole Genome Sequencing Provides Information on the Genomic Architecture and Diversity of Cultivated Gilthead Seabream (Sparus aurata) Broodstock Nuclei

Author:

Bertolini Francesca1,Ribani Anisa1ORCID,Capoccioni Fabrizio2ORCID,Buttazzoni Luca2ORCID,Bovo Samuele1ORCID,Schiavo Giuseppina1,Caggiano Massimo3ORCID,Rothschild Max F.4,Fontanesi Luca1ORCID

Affiliation:

1. Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale G. Fanin 46, 40127 Bologna, Italy

2. Centro di Ricerca “Zootecnia e Acquacoltura”, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria (CREA), 00198 Roma, Italy

3. Panittica Italia Società Agricola Srl, Torre Canne di Fasano, 72016 Brindisi, Italy

4. Department of Animal Science, Iowa State University, Ames, IA 50011-3150, USA

Abstract

The gilthead seabream (Sparus aurata) is a species of relevance for the Mediterranean aquaculture industry. Despite the advancement of genetic tools for the species, breeding programs still do not often include genomics. In this study, we designed a genomic strategy to identify signatures of selection and genomic regions of high differentiation among populations of farmed fish stocks. A comparative DNA pooling sequencing approach was applied to identify signatures of selection in gilthead seabream from the same hatchery and from different nuclei that had not been subjected to genetic selection. Identified genomic regions were further investigated to detect SNPs with predicted high impact. The analyses underlined major genomic differences in the proportion of fixed alleles among the investigated nuclei. Some of these differences highlighted genomic regions, including genes involved in general metabolism and development already detected in QTL for growth, size, skeletal deformity, and adaptation to variation of oxygen levels in other teleosts. The obtained results pointed out the need to control the genetic effect of breeding programs in this species to avoid the reduction of genetic variability within populations and the increase in inbreeding level that, in turn, might lead to an increased frequency of alleles with deleterious effects.

Funder

Ensminger Fund

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Reference54 articles.

1. EUROSTAT (2023, February 05). Production from Aquaculture Excluding Hatcheries and Nurseries (fish_AQ2A Datasheet). Available online: https://ec.europa.eu/eurostat/databrowser/view/FISH_AQ2A__custom_4842525/default/table?lang=en.

2. Manchado, M., Planas, J.V., Cousin, X., Rebordinos, L., and Claros, M.G. (2016). Genomics in Aquaculture, Academic Press.

3. Moretti, A., Fernandez-Criado, M.P., and Cittolin, G. (1999). Ruggero Guidastri Manual on Hatchery Production of Seabass and Gilthead Seabream, Food & Agriculture Organization.

4. Ferosekhan, S., Turkmen, S., Pérez-García, C., Xu, H., Gómez, A., Shamna, N., Afonso, J.M., Rosenlund, G., Fontanillas, R., and Gracia, A. (2021). Influence of genetic selection for growth and broodstock diet N-3 LC-PUFA levels on reproductive performance of Gilthead seabream, Sparus aurata. Animals, 11.

5. Current status and potential of genomic selection to improve selective breeding in the main aquaculture species of international council for the exploration of the sea (ICES) member countries;Boudry;Aquac. Rep.,2021

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