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Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits

BACKGROUND: Copy number variations (CNVs) have been shown to account for substantial portions of observed genomic variation and have been associated with qualitative and quantitative traits and the onset of disease in a number of species. Information from high-resolution studies to detect, character...

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Autores principales: da Silva, Joaquim Manoel, Giachetto, Poliana Fernanda, da Silva, Luiz Otávio, Cintra, Leandro Carrijo, Paiva, Samuel Rezende, Yamagishi, Michel Eduardo Beleza, Caetano, Alexandre Rodrigues
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907077/
https://www.ncbi.nlm.nih.gov/pubmed/27297173
http://dx.doi.org/10.1186/s12864-016-2752-9
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author da Silva, Joaquim Manoel
Giachetto, Poliana Fernanda
da Silva, Luiz Otávio
Cintra, Leandro Carrijo
Paiva, Samuel Rezende
Yamagishi, Michel Eduardo Beleza
Caetano, Alexandre Rodrigues
author_facet da Silva, Joaquim Manoel
Giachetto, Poliana Fernanda
da Silva, Luiz Otávio
Cintra, Leandro Carrijo
Paiva, Samuel Rezende
Yamagishi, Michel Eduardo Beleza
Caetano, Alexandre Rodrigues
author_sort da Silva, Joaquim Manoel
collection PubMed
description BACKGROUND: Copy number variations (CNVs) have been shown to account for substantial portions of observed genomic variation and have been associated with qualitative and quantitative traits and the onset of disease in a number of species. Information from high-resolution studies to detect, characterize and estimate population-specific variant frequencies will facilitate the incorporation of CNVs in genomic studies to identify genes affecting traits of importance. RESULTS: Genome-wide CNVs were detected in high-density single nucleotide polymorphism (SNP) genotyping data from 1,717 Nelore (Bos indicus) cattle, and in NGS data from eight key ancestral bulls. A total of 68,007 and 12,786 distinct CNVs were observed, respectively. Cross-comparisons of results obtained for the eight resequenced animals revealed that 92 % of the CNVs were observed in both datasets, while 62 % of all detected CNVs were observed to overlap with previously validated cattle copy number variant regions (CNVRs). Observed CNVs were used for obtaining breed-specific CNV frequencies and identification of CNVRs, which were subsequently used for gene annotation. A total of 688 of the detected CNVRs were observed to overlap with 286 non-redundant QTLs associated with important production traits in cattle. All of 34 CNVs previously reported to be associated with milk production traits in Holsteins were also observed in Nelore cattle. Comparisons of estimated frequencies of these CNVs in the two breeds revealed 14, 13, 6 and 14 regions in high (>20 %), low (<20 %) and divergent (NEL > HOL, NEL < HOL) frequencies, respectively. CONCLUSIONS: Obtained results significantly enriched the bovine CNV map and enabled the identification of variants that are potentially associated with traits under selection in Nelore cattle, particularly in genome regions harboring QTLs affecting production traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2752-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-49070772016-06-15 Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits da Silva, Joaquim Manoel Giachetto, Poliana Fernanda da Silva, Luiz Otávio Cintra, Leandro Carrijo Paiva, Samuel Rezende Yamagishi, Michel Eduardo Beleza Caetano, Alexandre Rodrigues BMC Genomics Research Article BACKGROUND: Copy number variations (CNVs) have been shown to account for substantial portions of observed genomic variation and have been associated with qualitative and quantitative traits and the onset of disease in a number of species. Information from high-resolution studies to detect, characterize and estimate population-specific variant frequencies will facilitate the incorporation of CNVs in genomic studies to identify genes affecting traits of importance. RESULTS: Genome-wide CNVs were detected in high-density single nucleotide polymorphism (SNP) genotyping data from 1,717 Nelore (Bos indicus) cattle, and in NGS data from eight key ancestral bulls. A total of 68,007 and 12,786 distinct CNVs were observed, respectively. Cross-comparisons of results obtained for the eight resequenced animals revealed that 92 % of the CNVs were observed in both datasets, while 62 % of all detected CNVs were observed to overlap with previously validated cattle copy number variant regions (CNVRs). Observed CNVs were used for obtaining breed-specific CNV frequencies and identification of CNVRs, which were subsequently used for gene annotation. A total of 688 of the detected CNVRs were observed to overlap with 286 non-redundant QTLs associated with important production traits in cattle. All of 34 CNVs previously reported to be associated with milk production traits in Holsteins were also observed in Nelore cattle. Comparisons of estimated frequencies of these CNVs in the two breeds revealed 14, 13, 6 and 14 regions in high (>20 %), low (<20 %) and divergent (NEL > HOL, NEL < HOL) frequencies, respectively. CONCLUSIONS: Obtained results significantly enriched the bovine CNV map and enabled the identification of variants that are potentially associated with traits under selection in Nelore cattle, particularly in genome regions harboring QTLs affecting production traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2752-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-13 /pmc/articles/PMC4907077/ /pubmed/27297173 http://dx.doi.org/10.1186/s12864-016-2752-9 Text en © The Author(s). 2016 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
da Silva, Joaquim Manoel
Giachetto, Poliana Fernanda
da Silva, Luiz Otávio
Cintra, Leandro Carrijo
Paiva, Samuel Rezende
Yamagishi, Michel Eduardo Beleza
Caetano, Alexandre Rodrigues
Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits
title Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits
title_full Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits
title_fullStr Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits
title_full_unstemmed Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits
title_short Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits
title_sort genome-wide copy number variation (cnv) detection in nelore cattle reveals highly frequent variants in genome regions harboring qtls affecting production traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907077/
https://www.ncbi.nlm.nih.gov/pubmed/27297173
http://dx.doi.org/10.1186/s12864-016-2752-9
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