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Kumar S, Bhushan B, Kumar A, Panigrahi M, Bharati J, Kumari S, Kaiho K, Banik S, Karthikeyan A, Chaudhary R, Gaur GK, Dutt T. Elucidation of novel SNPs affecting immune response to classical swine fever vaccination in pigs using immunogenomics approach. Vet Res Commun 2024; 48:941-953. [PMID: 38017322 DOI: 10.1007/s11259-023-10262-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/19/2023] [Indexed: 11/30/2023]
Abstract
The host genetic makeup plays a significant role in causing the within-breed variation among individuals after vaccination. The present study was undertaken to elucidate the genetic basis of differential immune response between high and low responder Landlly (Landrace X Ghurrah) piglets vis-à-vis CSF vaccination. For the purpose, E2 antibody response against CSF vaccination was estimated in sampled animals on the day of vaccination and 21-day post-vaccination as a measure of humoral immune response. Double-digestion restriction associated DNA (ddRAD) sequencing was undertaken on 96 randomly chosen Landlly piglets using Illumina HiSeq platform. SNP markers were called using standard methodology. Genome-wide association study (GWAS) was undertaken in PLINK program to identify the informative SNP markers significantly associated with differential immune response. The results revealed significant SNPs associated with E2 antibody response against CSF vaccination. The genome-wide informative SNPs for the humoral immune response against CSF vaccination were located on SSC10, SSC17, SSC9, SSC2, SSC3 and SSC6. The overlapping and flanking genes (500Kb upstream and downstream) of significant SNPs were CYB5R1, PCMTD2, WT1, IL9R, CD101, TMEM64, TLR6, PIGG, ADIPOR1, PRSS37, EIF3M, and DNAJC24. Functional enrichment and annotation analysis were undertaken for these genes in order to gain maximum insights into the association of these genes with immune system functionality in pigs. The genetic makeup was associated with differential immune response against CSF vaccination in Landlly piglets while the identified informative SNPs may be used as suitable markers for determining variation in host immune response against CSF vaccination in pigs.
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Affiliation(s)
- Satish Kumar
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India.
- ICAR-National Research Centre on Pig, Rani, Guwahati, Assam, 781131, India.
| | - Bharat Bhushan
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India.
| | - Amit Kumar
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India.
| | - Manjit Panigrahi
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
| | - Jaya Bharati
- ICAR-National Research Centre on Pig, Rani, Guwahati, Assam, 781131, India
| | - Soni Kumari
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
| | - Kaisa Kaiho
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
| | - Santanu Banik
- ICAR-National Research Centre on Pig, Rani, Guwahati, Assam, 781131, India
| | - A Karthikeyan
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
| | - Rajni Chaudhary
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
| | - G K Gaur
- Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
| | - Triveni Dutt
- Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, U.P, 243122, India
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Laghouaouta H, Fraile L, Suárez-Mesa R, Ros-Freixedes R, Estany J, Pena RN. A genome-wide screen for resilient responses in growing pigs. Genet Sel Evol 2022; 54:50. [PMID: 35787790 PMCID: PMC9251948 DOI: 10.1186/s12711-022-00739-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/21/2022] [Indexed: 11/18/2022] Open
Abstract
Background There is a growing interest to decipher the genetic background of resilience and its possible improvement through selective breeding. The objective of the present study was to provide new insights into the genetic make-up of resilience in growing pigs by identifying genomic regions and candidate genes associated with resilience indicators. Commercial Duroc pigs were challenged with an attenuated Aujeszky vaccine at 12 weeks of age. Two resilience indicators were used: deviation from the expected body weight at 16 weeks of age given the growth curve of non-vaccinated pigs (∆BW) and the increase in acute-phase protein haptoglobin at four days post-vaccination (∆HP). Genome-wide association analyses were carried out on 445 pigs, using genotypes at 41,165 single nucleotide polymorphisms (SNPs) and single-marker and Bayesian multiple-marker regression approaches. Results Genomic regions on pig chromosomes 2, 8, 9, 11 (∆BW) and 8, 9, 13 (∆HP) were found to be associated with the resilience indicators and explained high proportions of their genetic variance. The genomic regions that were associated explained 27 and 5% of the genetic variance of ∆BW and ∆HP, respectively. These genomic regions harbour promising candidate genes that are involved in pathways related to immune response, response to stress, or signal transduction (CD6, PTGDR2, IKZF1, RNASEL and MYD88), and growth (GRB10 and LCORL). Conclusions Our study identified novel genomic regions that are associated with two resilience indicators (∆BW and ∆HP) in pigs. These associated genomic regions harbour potential candidate genes involved in immune response and growth pathways, which emphasise the strong relationship between resilience and immune response. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-022-00739-1.
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Affiliation(s)
- Houda Laghouaouta
- Department of Animal Science, University of Lleida-Agrotecnio-CERCA Center, 25198, Lleida, Catalonia, Spain
| | - Lorenzo Fraile
- Department of Animal Science, University of Lleida-Agrotecnio-CERCA Center, 25198, Lleida, Catalonia, Spain
| | - Rafael Suárez-Mesa
- Department of Animal Science, University of Lleida-Agrotecnio-CERCA Center, 25198, Lleida, Catalonia, Spain
| | - Roger Ros-Freixedes
- Department of Animal Science, University of Lleida-Agrotecnio-CERCA Center, 25198, Lleida, Catalonia, Spain
| | - Joan Estany
- Department of Animal Science, University of Lleida-Agrotecnio-CERCA Center, 25198, Lleida, Catalonia, Spain
| | - Ramona Natacha Pena
- Department of Animal Science, University of Lleida-Agrotecnio-CERCA Center, 25198, Lleida, Catalonia, Spain.
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Sanglard LP, Huang Y, Gray KA, Linhares DCL, Dekkers JCM, Niederwerder MC, Fernando RL, Serão NVL. Further host-genomic characterization of total antibody response to PRRSV vaccination and its relationship with reproductive performance in commercial sows: genome-wide haplotype and zygosity analyses. Genet Sel Evol 2021; 53:91. [PMID: 34875996 PMCID: PMC8650375 DOI: 10.1186/s12711-021-00676-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 10/19/2021] [Indexed: 11/16/2022] Open
Abstract
Background The possibility of using antibody response (S/P ratio) to PRRSV vaccination measured in crossbred commercial gilts as a genetic indicator for reproductive performance in vaccinated crossbred sows has motivated further studies of the genomic basis of this trait. In this study, we investigated the association of haplotypes and runs of homozygosity (ROH) and heterozygosity (ROHet) with S/P ratio and their impact on reproductive performance. Results There was no association (P-value ≥ 0.18) of S/P ratio with the percentage of ROH or ROHet, or with the percentage of heterozygosity across the whole genome or in the major histocompatibility complex (MHC) region. However, specific ROH and ROHet regions were significantly associated (P-value ≤ 0.01) with S/P ratio on chromosomes 1, 4, 5, 7, 10, 11, 13, and 17 but not (P-value ≥ 0.10) with reproductive performance. With the haplotype-based genome-wide association study (GWAS), additional genomic regions associated with S/P ratio were identified on chromosomes 4, 7, and 9. These regions harbor immune-related genes, such as SLA-DOB, TAP2, TAPBP, TMIGD3, and ADORA. Four haplotypes at the identified region on chromosome 7 were also associated with multiple reproductive traits. A haplotype significantly associated with S/P ratio that is located in the MHC region may be in stronger linkage disequilibrium (LD) with the quantitative trait loci (QTL) than the previously identified single nucleotide polymorphism (SNP) (H3GA0020505) given the larger estimate of genetic variance explained by the haplotype than by the SNP. Conclusions Specific ROH and ROHet regions were significantly associated with S/P ratio. The haplotype-based GWAS identified novel QTL for S/P ratio on chromosomes 4, 7, and 9 and confirmed the presence of at least one QTL in the MHC region. The chromosome 7 region was also associated with reproductive performance. These results narrow the search for causal genes in this region and suggest SLA-DOB and TAP2 as potential candidate genes associated with S/P ratio on chromosome 7. These results provide additional opportunities for marker-assisted selection and genomic selection for S/P ratio as genetic indicator for litter size in commercial pig populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00676-5.
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Affiliation(s)
- Leticia P Sanglard
- Department of Animal Science, Iowa State University, Ames, IA, 50011, USA
| | - Yijian Huang
- Smithfield Premium Genetic, Rose Hill, NC, 28458, USA
| | - Kent A Gray
- Smithfield Premium Genetic, Rose Hill, NC, 28458, USA
| | - Daniel C L Linhares
- Department of Veterinary Diagnostic & Production Animal Medicine, Iowa State University, Ames, IA, 50011, USA
| | - Jack C M Dekkers
- Department of Animal Science, Iowa State University, Ames, IA, 50011, USA
| | - Megan C Niederwerder
- Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS, 66506, USA
| | - Rohan L Fernando
- Department of Animal Science, Iowa State University, Ames, IA, 50011, USA
| | - Nick V L Serão
- Department of Animal Science, Iowa State University, Ames, IA, 50011, USA.
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Hickmann FMW, Braccini Neto J, Kramer LM, Huang Y, Gray KA, Dekkers JCM, Sanglard LP, Serão NVL. Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance. Front Genet 2021; 12:707870. [PMID: 34422010 PMCID: PMC8371709 DOI: 10.3389/fgene.2021.707870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/07/2021] [Indexed: 11/13/2022] Open
Abstract
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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Affiliation(s)
- Felipe M. W. Hickmann
- Department of Animal Science, Iowa State University, Ames, IA, United States
- Department of Animal Science, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - José Braccini Neto
- Department of Animal Science, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luke M. Kramer
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Yijian Huang
- Smithfield Premium Genetics, Rose Hill, NC, United States
| | - Kent A. Gray
- Smithfield Premium Genetics, Rose Hill, NC, United States
| | - Jack C. M. Dekkers
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Leticia P. Sanglard
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Nick V. L. Serão
- Department of Animal Science, Iowa State University, Ames, IA, United States
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