QTLs Associated with Resistance to Cardiomyopathy Syndrome in Atlantic Salmon.

J Hered

Sustainable Aquaculture Laboratory - Temperate and Tropical (SALTT), School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia.

Published: October 2019

AI Article Synopsis

  • Cardiomyopathy syndrome (CMS), caused by piscine myocarditis virus, significantly impacts the Norwegian Atlantic salmon industry, and this study investigated three populations from the Mowi breeding program for genetic resistance.
  • The study estimated heritability and genetic correlation between populations, revealing moderate genetic correlation (0.51-0.61) and genomic heritability rates from 0.12 to 0.46, with the highest estimate from a controlled challenge test.
  • Two chromosomal regions linked to resistance were identified, along with four relevant genes, indicating potential for using these genetic markers to enhance CMS resistance through selection strategies.

Article Abstract

Cardiomyopathy syndrome (CMS) caused by piscine myocarditis virus is a major disease affecting the Norwegian Atlantic salmon industry. Three different populations of Atlantic salmon from the Mowi breeding program were used in this study. The first 2 populations (population 1 and 2) were naturally infected in a field outbreak, while the third population (population 3) went through a controlled challenged test. The aim of the study was to estimate the heritability, the genetic correlation between populations and perform genome-wide association analysis for resistance to this disease. Survival data from population 1 and 2 and heart atrium histology score data from population 3 was analyzed. A total of 571, 4312, and 901 fish from population 1, 2, and 3, respectively were genotyped with a noncommercial 55,735 Affymetrix marker panel. Genomic heritability ranged from 0.12 to 0.46 and the highest estimate was obtained from the challenge test dataset. The genetic correlation between populations was moderate (0.51-0.61). Two chromosomal regions (SSA27 and SSA12) contained single nucleotide polymorphisms associated with resistance to CMS. The highest association signal (P = 6.9751 × 10-27) was found on chromosome 27. Four genes with functional roles affecting viral resistance (magi1, pi4kb, bnip2, and ha1f) were found to map closely to the identified quantitative trait loci (QTLs). In conclusion, genetic variation for resistance to CMS was observed in all 3 populations. Two important quantitative trait loci were detected which together explain half of the total genetic variance, suggesting strong potential application for marker-assisted selection and genomic predictions to improve CMS resistance.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785937PMC
http://dx.doi.org/10.1093/jhered/esz042DOI Listing

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