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Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model

BACKGROUND: Genetic improvement for disease resilience is anticipated to be a practical method to improve efficiency and profitability of the pig industry, as resilient pigs maintain a relatively undepressed level of performance in the face of infection. However, multiple biological functions are kn...

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Autores principales: Bai, Xuechun, Yang, Tianfu, Putz, Austin M., Wang, Zhiquan, Li, Changxi, Fortin, Frédéric, Harding, John C. S., Dyck, Michael K., Dekkers, Jack C. M., Field, Catherine J., Plastow, Graham S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278769/
https://www.ncbi.nlm.nih.gov/pubmed/34256695
http://dx.doi.org/10.1186/s12864-021-07835-4
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author Bai, Xuechun
Yang, Tianfu
Putz, Austin M.
Wang, Zhiquan
Li, Changxi
Fortin, Frédéric
Harding, John C. S.
Dyck, Michael K.
Dekkers, Jack C. M.
Field, Catherine J.
Plastow, Graham S.
author_facet Bai, Xuechun
Yang, Tianfu
Putz, Austin M.
Wang, Zhiquan
Li, Changxi
Fortin, Frédéric
Harding, John C. S.
Dyck, Michael K.
Dekkers, Jack C. M.
Field, Catherine J.
Plastow, Graham S.
author_sort Bai, Xuechun
collection PubMed
description BACKGROUND: Genetic improvement for disease resilience is anticipated to be a practical method to improve efficiency and profitability of the pig industry, as resilient pigs maintain a relatively undepressed level of performance in the face of infection. However, multiple biological functions are known to be involved in disease resilience and this complexity means that the genetic architecture of disease resilience remains largely unknown. Here, we conducted genome-wide association studies (GWAS) of 465,910 autosomal SNPs for complete blood count (CBC) traits that are important in an animal’s disease response. The aim was to identify the genetic control of disease resilience. RESULTS: Univariate and multivariate single-step GWAS were performed on 15 CBC traits measured from the blood samples of 2743 crossbred (Landrace × Yorkshire) barrows drawn at 2-weeks before, and at 2 and 6-weeks after exposure to a polymicrobial infectious challenge. Overall, at a genome-wise false discovery rate of 0.05, five genomic regions located on Sus scrofa chromosome (SSC) 2, SSC4, SSC9, SSC10, and SSC12, were significantly associated with white blood cell traits in response to the polymicrobial challenge, and nine genomic regions on multiple chromosomes (SSC1, SSC4, SSC5, SSC6, SSC8, SSC9, SSC11, SSC12, SSC17) were significantly associated with red blood cell and platelet traits collected before and after exposure to the challenge. By functional enrichment analyses using Ingenuity Pathway Analysis (IPA) and literature review of previous CBC studies, candidate genes located nearby significant single-nucleotide polymorphisms were found to be involved in immune response, hematopoiesis, red blood cell morphology, and platelet aggregation. CONCLUSIONS: This study helps to improve our understanding of the genetic basis of CBC traits collected before and after exposure to a polymicrobial infectious challenge and provides a step forward to improve disease resilience. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07835-4.
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spelling pubmed-82787692021-07-15 Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model Bai, Xuechun Yang, Tianfu Putz, Austin M. Wang, Zhiquan Li, Changxi Fortin, Frédéric Harding, John C. S. Dyck, Michael K. Dekkers, Jack C. M. Field, Catherine J. Plastow, Graham S. BMC Genomics Research Article BACKGROUND: Genetic improvement for disease resilience is anticipated to be a practical method to improve efficiency and profitability of the pig industry, as resilient pigs maintain a relatively undepressed level of performance in the face of infection. However, multiple biological functions are known to be involved in disease resilience and this complexity means that the genetic architecture of disease resilience remains largely unknown. Here, we conducted genome-wide association studies (GWAS) of 465,910 autosomal SNPs for complete blood count (CBC) traits that are important in an animal’s disease response. The aim was to identify the genetic control of disease resilience. RESULTS: Univariate and multivariate single-step GWAS were performed on 15 CBC traits measured from the blood samples of 2743 crossbred (Landrace × Yorkshire) barrows drawn at 2-weeks before, and at 2 and 6-weeks after exposure to a polymicrobial infectious challenge. Overall, at a genome-wise false discovery rate of 0.05, five genomic regions located on Sus scrofa chromosome (SSC) 2, SSC4, SSC9, SSC10, and SSC12, were significantly associated with white blood cell traits in response to the polymicrobial challenge, and nine genomic regions on multiple chromosomes (SSC1, SSC4, SSC5, SSC6, SSC8, SSC9, SSC11, SSC12, SSC17) were significantly associated with red blood cell and platelet traits collected before and after exposure to the challenge. By functional enrichment analyses using Ingenuity Pathway Analysis (IPA) and literature review of previous CBC studies, candidate genes located nearby significant single-nucleotide polymorphisms were found to be involved in immune response, hematopoiesis, red blood cell morphology, and platelet aggregation. CONCLUSIONS: This study helps to improve our understanding of the genetic basis of CBC traits collected before and after exposure to a polymicrobial infectious challenge and provides a step forward to improve disease resilience. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07835-4. BioMed Central 2021-07-13 /pmc/articles/PMC8278769/ /pubmed/34256695 http://dx.doi.org/10.1186/s12864-021-07835-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bai, Xuechun
Yang, Tianfu
Putz, Austin M.
Wang, Zhiquan
Li, Changxi
Fortin, Frédéric
Harding, John C. S.
Dyck, Michael K.
Dekkers, Jack C. M.
Field, Catherine J.
Plastow, Graham S.
Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
title Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
title_full Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
title_fullStr Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
title_full_unstemmed Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
title_short Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
title_sort investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278769/
https://www.ncbi.nlm.nih.gov/pubmed/34256695
http://dx.doi.org/10.1186/s12864-021-07835-4
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