Genome-wide Association Analysis for resistance to infectious pancreatic necrosis virus identifies candidate genes involved in viral replication and immune response in rainbow trout (Oncorhynchus mykiss)

Francisco H. Rodríguez, Raúl Flores-Mara, Grazyella M. Yoshida, Agustín Barría, Ana M. Jedlicki, Jean P. Lhorente, Felipe Reyes-López, José M. Yáñez

Research output: Contribution to journalArticleResearch

7 Citations (Scopus)

Abstract

© 2019 Genetics Society of America. All rights reserved. Infectious pancreatic necrosis (IPN) is a viral disease with considerable negative impact on the rainbow trout (Oncorhynchus mykiss) aquaculture industry. The aim of the present work was to detect genomic regions that explain resistance to infectious pancreatic necrosis virus (IPNV) in rainbow trout. A total of 2,278 fish from 58 full-sib families were challenged with IPNV and 768 individuals were genotyped (488 resistant and 280 susceptible), using a 57K SNP panel Axiom, Affymetrix. A genome-wide association study (GWAS) was performed using the phenotypes time to death (TD) and binary survival (BS), along with the genotypes of the challenged fish using a Bayesian model (Bayes C). Heritabilities for resistance to IPNV estimated using genomic information, were 0.53 and 0.82 for TD and BS, respectively. The Bayesian GWAS detected a SNP located on chromosome 5 explaining 19% of the genetic variance for TD. The proximity of Sentrin-specific protease 5 (SENP5) to this SNP makes it a candidate gene for resistance against IPNV. In case of BS, a SNP located on chromosome 23 was detected explaining 9% of the genetic variance. However, the moderate-low proportion of variance explained by the detected marker leads to the conclusion that the incorporation of all genomic information, through genomic selection, would be the most appropriate approach to accelerate genetic progress for the improvement of resistance against IPNV in rainbow trout.
Original languageEnglish
Pages (from-to)2897-2904
JournalG3: Genes, Genomes, Genetics
Volume9
DOIs
Publication statusPublished - 1 Sep 2019

Keywords

  • Bayes C
  • Candidate genes
  • Disease resistance
  • GWAS
  • Oncorhynchus mykiss
  • QTL

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