Diversity and linkage disequilibrium in farmed Tasmanian Atlantic salmon

• Published in: Animal Genetics
• Main Authors: Kijas, J., Elliot, N., Kube, P., Evans, B., Botwright, N., King, H., Primmer, C. R., Verbyla, K.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2016
• Subjects: Atlantic salmon; Salmo salar
• Online Access: http://dx.doi.org/10.1111/age.12513; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fage.12513; https://onlinelibrary.wiley.com/doi/pdf/10.1111/age.12513

Summary Farmed Atlantic salmon ( Salmo salar ) is a globally important production species, including in Australia where breeding and selection has been in progress since the 1960s. The recent development of SNP genotyping platforms means genome‐wide association and genomic prediction can now be implemented to speed genetic gain. As a precursor, this study collected genotypes at 218 132 SNP s in 777 fish from a Tasmanian breeding population to assess levels of genetic diversity, the strength of linkage disequilibrium ( LD ) and imputation accuracy. Genetic diversity in Tasmanian Atlantic salmon was lower than observed within European populations when compared using four diversity metrics. The distribution of allele frequencies also showed a clear difference, with the Tasmanian animals carrying an excess of low minor allele frequency variants. The strength of observed LD was high at short distances (<25 kb) and remained above background for marker pairs separated by large chromosomal distances (hundreds of kb), in sharp contrast to the European Atlantic salmon tested. Genotypes were used to evaluate the accuracy of imputation from low density (0.5 to 5 K) up to increased density SNP sets (78 K). This revealed high imputation accuracies (0.89–0.97), suggesting that the use of low density SNP sets will be a successful approach for genomic prediction in this population. The long‐range LD , comparatively low genetic diversity and high imputation accuracy in Tasmanian salmon is consistent with known aspects of their population history, which involved a small founding population and an absence of subsequent introgression. The findings of this study represent an important first step towards the design of methods to apply genomics in this economically important population.