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

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 vire...

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Autores principales: Boddicker, Nicholas J, Bjorkquist, Angelica, Rowland, Raymond RR, Lunney, Joan K, Reecy, James M, Dekkers, Jack CM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974599/
https://www.ncbi.nlm.nih.gov/pubmed/24592976
http://dx.doi.org/10.1186/1297-9686-46-18
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author Boddicker, Nicholas J
Bjorkquist, Angelica
Rowland, Raymond RR
Lunney, Joan K
Reecy, James M
Dekkers, Jack CM
author_facet Boddicker, Nicholas J
Bjorkquist, Angelica
Rowland, Raymond RR
Lunney, Joan K
Reecy, James M
Dekkers, Jack CM
author_sort Boddicker, Nicholas J
collection PubMed
description 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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spelling pubmed-39745992014-04-17 Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection Boddicker, Nicholas J Bjorkquist, Angelica Rowland, Raymond RR Lunney, Joan K Reecy, James M Dekkers, Jack CM Genet Sel Evol Research 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. BioMed Central 2014-03-04 /pmc/articles/PMC3974599/ /pubmed/24592976 http://dx.doi.org/10.1186/1297-9686-46-18 Text en Copyright © 2014 Boddicker et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Boddicker, Nicholas J
Bjorkquist, Angelica
Rowland, Raymond RR
Lunney, Joan K
Reecy, James M
Dekkers, Jack CM
Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
title Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
title_full Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
title_fullStr Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
title_full_unstemmed Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
title_short Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
title_sort genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974599/
https://www.ncbi.nlm.nih.gov/pubmed/24592976
http://dx.doi.org/10.1186/1297-9686-46-18
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