TY - JOUR
T1 - Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
AU - Boddicker, Nicholas J.
AU - Bjorkquist, Angelica
AU - Rowland, Raymond R.
AU - Lunney, Joan K.
AU - Reecy, James M.
AU - Dekkers, Jack C.M.
N1 - Funding Information:
This project was supported by the USDA NIFA PRRS CAP Award 2008-55620-19132, the National Pork Board, and the NRSP-8 Swine Genome and Bioinformatics Coordination projects, and the PRRS Host Genetics Consortium consisting of USDA ARS, Kansas State Univ., Iowa State Univ., Michigan State Univ., Washington State Univ., Purdue Univ., University of Nebraska-Lincoln, PIC/Genus, Newsham Choice Genetics, Fast Genetics, Genetiporc, Inc., Genesus, Inc., IDEXX Laboratories, and Tetracore, Inc. The authors acknowledge technical assistance to this project from Juan Pedro Steibel for the algorithm to compute viral load based on area under the curve, Max Rothschild for assistance with genotyping, Eric Fritz for database management, Ania Wolc and Dinesh Thekkoot for statistical assistance, and the lab of Bob Rowland, specifically Becky Eaves, Maureen Kerrigan, Ben Trible, Jessica Otradovec, Brooke Bloomberg, Aubree Gottlob, Laura O’Brien, and Ranjini Chand for animal care and sample collection, and the lab of Joan Lunney, specifically Samuel Abrams and Amber Tietgens, for preparation of all genomic DNA samples for SNP genotyping.
PY - 2014/3/4
Y1 - 2014/3/4
N2 - 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. Results: Across 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). Conclusions: Traits 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.
AB - 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. Results: Across 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). Conclusions: Traits 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.
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U2 - 10.1186/1297-9686-46-18
DO - 10.1186/1297-9686-46-18
M3 - Article
C2 - 24592976
AN - SCOPUS:84897983659
SN - 0999-193X
VL - 46
JO - Genetics Selection Evolution
JF - Genetics Selection Evolution
IS - 1
M1 - 18
ER -