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A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive
BACKGROUND: In this study we integrated the CNV (copy number variation) and WssGWAS (weighted single-step approach for genome-wide association) analyses to increase the knowledge about number of piglets born alive, an economically important reproductive trait with significant impact on production ef...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487013/ https://www.ncbi.nlm.nih.gov/pubmed/31029102 http://dx.doi.org/10.1186/s12864-019-5687-0 |
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author | Stafuzza, Nedenia Bonvino Silva, Rafael Medeiros de Oliveira Fragomeni, Breno de Oliveira Masuda, Yutaka Huang, Yijian Gray, Kent Lourenco, Daniela A. Lino |
author_facet | Stafuzza, Nedenia Bonvino Silva, Rafael Medeiros de Oliveira Fragomeni, Breno de Oliveira Masuda, Yutaka Huang, Yijian Gray, Kent Lourenco, Daniela A. Lino |
author_sort | Stafuzza, Nedenia Bonvino |
collection | PubMed |
description | BACKGROUND: In this study we integrated the CNV (copy number variation) and WssGWAS (weighted single-step approach for genome-wide association) analyses to increase the knowledge about number of piglets born alive, an economically important reproductive trait with significant impact on production efficiency of pigs. RESULTS: A total of 3892 samples were genotyped with the Porcine SNP80 BeadChip. After quality control, a total of 57,962 high-quality SNPs from 3520 Duroc pigs were retained. The PennCNV algorithm identified 46,118 CNVs, which were aggregated by overlapping in 425 CNV regions (CNVRs) ranging from 2.5 Kb to 9718.4 Kb and covering 197 Mb (~ 7.01%) of the pig autosomal genome. The WssGWAS identified 16 genomic regions explaining more than 1% of the additive genetic variance for number of piglets born alive. The overlap between CNVR and WssGWAS analyses identified common regions on SSC2 (4.2–5.2 Mb), SSC3 (3.9–4.9 Mb), SSC12 (56.6–57.6 Mb), and SSC17 (17.3–18.3 Mb). Those regions are known for harboring important causative variants for pig reproductive traits based on their crucial functions in fertilization, development of gametes and embryos. Functional analysis by the Panther software identified 13 gene ontology biological processes significantly represented in this study such as reproduction, developmental process, cellular component organization or biogenesis, and immune system process, which plays relevant roles in swine reproductive traits. CONCLUSION: Our research helps to improve the understanding of the genetic architecture of number of piglets born alive, given that the combination of GWAS and CNV analyses allows for a more efficient identification of the genomic regions and biological processes associated with this trait in Duroc pigs. Pig breeding programs could potentially benefit from a more accurate discovery of important genomic regions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5687-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6487013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64870132019-05-06 A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive Stafuzza, Nedenia Bonvino Silva, Rafael Medeiros de Oliveira Fragomeni, Breno de Oliveira Masuda, Yutaka Huang, Yijian Gray, Kent Lourenco, Daniela A. Lino BMC Genomics Research Article BACKGROUND: In this study we integrated the CNV (copy number variation) and WssGWAS (weighted single-step approach for genome-wide association) analyses to increase the knowledge about number of piglets born alive, an economically important reproductive trait with significant impact on production efficiency of pigs. RESULTS: A total of 3892 samples were genotyped with the Porcine SNP80 BeadChip. After quality control, a total of 57,962 high-quality SNPs from 3520 Duroc pigs were retained. The PennCNV algorithm identified 46,118 CNVs, which were aggregated by overlapping in 425 CNV regions (CNVRs) ranging from 2.5 Kb to 9718.4 Kb and covering 197 Mb (~ 7.01%) of the pig autosomal genome. The WssGWAS identified 16 genomic regions explaining more than 1% of the additive genetic variance for number of piglets born alive. The overlap between CNVR and WssGWAS analyses identified common regions on SSC2 (4.2–5.2 Mb), SSC3 (3.9–4.9 Mb), SSC12 (56.6–57.6 Mb), and SSC17 (17.3–18.3 Mb). Those regions are known for harboring important causative variants for pig reproductive traits based on their crucial functions in fertilization, development of gametes and embryos. Functional analysis by the Panther software identified 13 gene ontology biological processes significantly represented in this study such as reproduction, developmental process, cellular component organization or biogenesis, and immune system process, which plays relevant roles in swine reproductive traits. CONCLUSION: Our research helps to improve the understanding of the genetic architecture of number of piglets born alive, given that the combination of GWAS and CNV analyses allows for a more efficient identification of the genomic regions and biological processes associated with this trait in Duroc pigs. Pig breeding programs could potentially benefit from a more accurate discovery of important genomic regions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5687-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-27 /pmc/articles/PMC6487013/ /pubmed/31029102 http://dx.doi.org/10.1186/s12864-019-5687-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Stafuzza, Nedenia Bonvino Silva, Rafael Medeiros de Oliveira Fragomeni, Breno de Oliveira Masuda, Yutaka Huang, Yijian Gray, Kent Lourenco, Daniela A. Lino A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
title | A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
title_full | A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
title_fullStr | A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
title_full_unstemmed | A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
title_short | A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
title_sort | genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487013/ https://www.ncbi.nlm.nih.gov/pubmed/31029102 http://dx.doi.org/10.1186/s12864-019-5687-0 |
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