Artículo de revista
High-throughput single nucleotide polymorphism (SNP) discovery and validation through whole-genome resequencing in Nile Tilapia (Oreochromis niloticus)
Fecha
2020Registro en:
Marine Biotechnology (2020) 22:109–117
10.1007/s10126-019-09935-5
Autor
Yáñez López, José
Yoshida, Grazyella
Barría, Agustín
Palma Véjares, Ricardo
Travisany, Dante
Díaz Madrid, Diego
Cáceres Cruz, Giovanna
Cádiz, María I.
López, María E.
Lhorente, Jean P.
Jedlicki, Ana
Soto, José
Salas, Diego
Maass Sepúlveda, Alejandro
Institución
Resumen
Nile tilapia (Oreochromis niloticus) is the second most important farmed fish in the world and a sustainable source of protein for human consumption. Several genetic improvement programs have been established for this species in the world. Currently, the estimation of genetic merit of breeders is typically based on genealogical and phenotypic information. Genome-wide information can be exploited to efficiently incorporate traits that are difficult to measure into the breeding goal. Thus, single nucleotide polymorphisms (SNPs) are required to investigate phenotype-genotype associations and determine the genomic basis of economically important traits. We performed de novo SNP discovery in three different populations of farmed Nile tilapia. A total of 29.9 million non-redundant SNPs were identified through Illumina (HiSeq 2500) whole-genome resequencing of 326 individual samples. After applying several filtering steps, including removing SNP based on genotype and site quality, presence of Mendelian errors, and non-unique position in the genome, a total of 50,000 high-quality SNPs were selected for the development of a custom Illumina BeadChip SNP panel. These SNPs were highly informative in the three populations analyzed showing between 43,869 (94%) and 46,139 (99%) SNPs in Hardy-Weinberg Equilibrium; 37,843 (76%) and 45,171(90%) SNPs with a minor allele frequency (MAF) higher than 0.05; and 43,450 (87%) and 46,570 (93%) SNPs with a MAF higher than 0.01. The 50K SNP panel developed in the current work will be useful for the dissection of economically relevant traits, enhancing breeding programs through genomic selection, as well as supporting genetic studies in farmed populations of Nile tilapia using dense genome-wide information.