Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Genetics Selection Evolution Année : 2014

Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection

Nicholas J Boddicker
  • Fonction : Auteur
  • PersonId : 984425
Angelica Bjorkquist
  • Fonction : Auteur
  • PersonId : 984426
Raymond Rr Rowland
  • Fonction : Auteur
  • PersonId : 984427
Joan K Lunney
  • Fonction : Auteur
  • PersonId : 979504
James M Reecy
  • Fonction : Auteur
  • PersonId : 984428
Jack Cm Dekkers
  • Fonction : Auteur correspondant

Résumé

Background Host genetics has been shown to play a role in porcine reproductive and respiratory syndrome (PRRS), which is the most economically important disease in the swine industry. A region on Sus scrofa chromosome (SSC) 4 has been previously reported to have a strong association with serum viremia and weight gain in pigs experimentally infected with the PRRS virus (PRRSV). The objective here was to identify haplotypes associated with the favorable phenotype, investigate additional genomic regions associated with host response to PRRSV, and to determine the predictive ability of genomic estimated breeding values (GEBV) based on the SSC4 region and based on the rest of the genome. Phenotypic data and 60 K SNP genotypes from eight trials of ~200 pigs from different commercial crosses were used to address these objectives.ResultsAcross the eight trials, heritability estimates were 0.44 and 0.29 for viral load (VL, area under the curve of log-transformed serum viremia from 0 to 21 days post infection) and weight gain to 42 days post infection (WG), respectively. Genomic regions associated with VL were identified on chromosomes 4, X, and 1. Genomic regions associated with WG were identified on chromosomes 4, 5, and 7. Apart from the SSC4 region, the regions associated with these two traits each explained less than 3% of the genetic variance. Due to the strong linkage disequilibrium in the SSC4 region, only 19 unique haplotypes were identified across all populations, of which four were associated with the favorable phenotype. Through cross-validation, accuracies of EBV based on the SSC4 region were high (0.55), while the rest of the genome had little predictive ability across populations (0.09).ConclusionsTraits associated with response to PRRSV infection in growing pigs are largely controlled by genomic regions with relatively small effects, with the exception of SSC4. Accuracies of EBV based on the SSC4 region were high compared to the rest of the genome. These results show that selection for the SSC4 region could potentially reduce the effects of PRRS in growing pigs, ultimately reducing the economic impact of this disease.
Fichier principal
Vignette du fichier
12711_2013_Article_2605.pdf (1.17 Mo) Télécharger le fichier
12711_2013_2605_MOESM1_ESM.tif (370.16 Ko) Télécharger le fichier
12711_2013_2605_MOESM2_ESM.tif (3 Mo) Télécharger le fichier
12711_2013_2605_MOESM3_ESM.pdf (28.59 Ko) Télécharger le fichier
12711_2013_2605_MOESM4_ESM.pdf (125.41 Ko) Télécharger le fichier
12711_2013_2605_MOESM5_ESM.pdf (123.06 Ko) Télécharger le fichier
12711_2013_2605_MOESM6_ESM.pdf (167.26 Ko) Télécharger le fichier
Origine : Publication financée par une institution
Origine : Publication financée par une institution
Origine : Publication financée par une institution
Origine : Publication financée par une institution
Origine : Publication financée par une institution
Origine : Publication financée par une institution
Origine : Publication financée par une institution

Dates et versions

hal-01341224 , version 1 (04-07-2016)

Identifiants

Citer

Nicholas J Boddicker, Angelica Bjorkquist, Raymond Rr Rowland, Joan K Lunney, James M Reecy, et al.. Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection. Genetics Selection Evolution, 2014, 46 (1), pp.18. ⟨10.1186/1297-9686-46-18⟩. ⟨hal-01341224⟩
6 Consultations
79 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More