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Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance

Porcine Reproductive and Respiratory Syndrome (PRRS) is historically the most economically important swine disease worldwide that severely affects the reproductive performance of sows. However, little is still known about the genetic basis of reproductive performance in purebred herds during a PRRS...

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Autores principales: Hickmann, Felipe M. W., Braccini Neto, José, Kramer, Luke M., Huang, Yijian, Gray, Kent A., Dekkers, Jack C. M., Sanglard, Leticia P., Serão, Nick V. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371709/
https://www.ncbi.nlm.nih.gov/pubmed/34422010
http://dx.doi.org/10.3389/fgene.2021.707870
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author Hickmann, Felipe M. W.
Braccini Neto, José
Kramer, Luke M.
Huang, Yijian
Gray, Kent A.
Dekkers, Jack C. M.
Sanglard, Leticia P.
Serão, Nick V. L.
author_facet Hickmann, Felipe M. W.
Braccini Neto, José
Kramer, Luke M.
Huang, Yijian
Gray, Kent A.
Dekkers, Jack C. M.
Sanglard, Leticia P.
Serão, Nick V. L.
author_sort Hickmann, Felipe M. W.
collection PubMed
description Porcine Reproductive and Respiratory Syndrome (PRRS) is historically the most economically important swine disease worldwide that severely affects the reproductive performance of sows. However, little is still known about the genetic basis of reproductive performance in purebred herds during a PRRS outbreak through the comparison of maternal and terminal breeds. Thus, the objective of this work was to explore the host genetics of response to PRRS in purebred sows from two breeds. Reproductive data included 2546 Duroc and 2522 Landrace litters from 894 and 813 purebred sows, respectively, which had high-density genotype data available (29,799 single nucleotide polymorphisms; SNPs). The data were split into pre-PRRS, PRRS, and post-PRRS phases based on standardized farrow-year-week estimates. Heritability estimates for reproductive traits were low to moderate (≤0.20) for Duroc and Landrace across PRRS phases. On the other hand, genetic correlations of reproductive traits between PRRS phases were overall moderate to high for both breeds. Several associations between MARC0034894, a candidate SNP for response to PRRS, with reproductive performance were identified (P-value < 0.05). Genomic analyses detected few QTL for reproductive performance across all phases, most explaining a small percentage of the additive genetic variance (≤8.2%, averaging 2.1%), indicating that these traits are highly polygenic. None of the identified QTL within a breed and trait overlapped between PRRS phases. Overall, our results indicate that Duroc sows are phenotypically more resilient to PRRS than Landrace sows, with a similar return to PRRS-free performance between breeds for most reproductive traits. Genomic prediction results indicate that genomic selection for improved reproductive performance under a PRRS outbreak is possible, especially in Landrace sows, by training markers using data from PRRS-challenged sows. On the other hand, the high genetic correlations with reproductive traits between PRRS phases suggest that selection for improved reproductive performance in a clean environment could improve performance during PRRS, but with limited efficiency due to their low heritability estimates. Thus, we hypothesize that an indicator trait that could be indirectly selected to increase the response to selection for these traits would be desirable and would also improve the reproductive performance of sows during a PRRS outbreak.
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spelling pubmed-83717092021-08-19 Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance Hickmann, Felipe M. W. Braccini Neto, José Kramer, Luke M. Huang, Yijian Gray, Kent A. Dekkers, Jack C. M. Sanglard, Leticia P. Serão, Nick V. L. Front Genet Genetics Porcine Reproductive and Respiratory Syndrome (PRRS) is historically the most economically important swine disease worldwide that severely affects the reproductive performance of sows. However, little is still known about the genetic basis of reproductive performance in purebred herds during a PRRS outbreak through the comparison of maternal and terminal breeds. Thus, the objective of this work was to explore the host genetics of response to PRRS in purebred sows from two breeds. Reproductive data included 2546 Duroc and 2522 Landrace litters from 894 and 813 purebred sows, respectively, which had high-density genotype data available (29,799 single nucleotide polymorphisms; SNPs). The data were split into pre-PRRS, PRRS, and post-PRRS phases based on standardized farrow-year-week estimates. Heritability estimates for reproductive traits were low to moderate (≤0.20) for Duroc and Landrace across PRRS phases. On the other hand, genetic correlations of reproductive traits between PRRS phases were overall moderate to high for both breeds. Several associations between MARC0034894, a candidate SNP for response to PRRS, with reproductive performance were identified (P-value < 0.05). Genomic analyses detected few QTL for reproductive performance across all phases, most explaining a small percentage of the additive genetic variance (≤8.2%, averaging 2.1%), indicating that these traits are highly polygenic. None of the identified QTL within a breed and trait overlapped between PRRS phases. Overall, our results indicate that Duroc sows are phenotypically more resilient to PRRS than Landrace sows, with a similar return to PRRS-free performance between breeds for most reproductive traits. Genomic prediction results indicate that genomic selection for improved reproductive performance under a PRRS outbreak is possible, especially in Landrace sows, by training markers using data from PRRS-challenged sows. On the other hand, the high genetic correlations with reproductive traits between PRRS phases suggest that selection for improved reproductive performance in a clean environment could improve performance during PRRS, but with limited efficiency due to their low heritability estimates. Thus, we hypothesize that an indicator trait that could be indirectly selected to increase the response to selection for these traits would be desirable and would also improve the reproductive performance of sows during a PRRS outbreak. Frontiers Media S.A. 2021-08-04 /pmc/articles/PMC8371709/ /pubmed/34422010 http://dx.doi.org/10.3389/fgene.2021.707870 Text en Copyright © 2021 Hickmann, Braccini Neto, Kramer, Huang, Gray, Dekkers, Sanglard and Serão. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Hickmann, Felipe M. W.
Braccini Neto, José
Kramer, Luke M.
Huang, Yijian
Gray, Kent A.
Dekkers, Jack C. M.
Sanglard, Leticia P.
Serão, Nick V. L.
Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
title Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
title_full Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
title_fullStr Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
title_full_unstemmed Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
title_short Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
title_sort host genetics of response to porcine reproductive and respiratory syndrome in sows: reproductive performance
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371709/
https://www.ncbi.nlm.nih.gov/pubmed/34422010
http://dx.doi.org/10.3389/fgene.2021.707870
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