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DNA methylation profile in beef cattle is influenced by additive genetics and age
DNA methylation (DNAm) has been considered a promising indicator of biological age in mammals and could be useful to increase the accuracy of phenotypic prediction in livestock. The objectives of this study were to estimate the heritability and age effects of site-specific DNAm (DNAm level) and cumu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283455/ https://www.ncbi.nlm.nih.gov/pubmed/35835812 http://dx.doi.org/10.1038/s41598-022-16350-9 |
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author | Ribeiro, André Mauric F. Sanglard, Leticia P. Wijesena, Hiruni R. Ciobanu, Daniel C. Horvath, Steve Spangler, Matthew L. |
author_facet | Ribeiro, André Mauric F. Sanglard, Leticia P. Wijesena, Hiruni R. Ciobanu, Daniel C. Horvath, Steve Spangler, Matthew L. |
author_sort | Ribeiro, André Mauric F. |
collection | PubMed |
description | DNA methylation (DNAm) has been considered a promising indicator of biological age in mammals and could be useful to increase the accuracy of phenotypic prediction in livestock. The objectives of this study were to estimate the heritability and age effects of site-specific DNAm (DNAm level) and cumulative DNAm across all sites (DNAm load) in beef cattle. Blood samples were collected from cows ranging from 217 to 3,192 days (0.6 to 8.7 years) of age (n = 136). All animals were genotyped, and DNAm was obtained using the Infinium array HorvathMammalMethylChip40. Genetic parameters for DNAm were obtained from an animal model based on the genomic relationship matrix, including the fixed effects of age and breed composition. Heritability estimates of DNAm levels ranged from 0.18 to 0.72, with a similar average across all regions and chromosomes. Heritability estimate of DNAm load was 0.45. The average age effect on DNAm level varied among genomic regions. The DNAm level across the genome increased with age in the promoter and 5′ UTR and decreased in the exonic, intronic, 3′ UTR, and intergenic regions. In addition, DNAm level increased with age in regions enriched in CpG and decreased in regions deficient in CpG. Results suggest DNAm profiles are influenced by both genetics and the environmental effect of age in beef cattle. |
format | Online Article Text |
id | pubmed-9283455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92834552022-07-16 DNA methylation profile in beef cattle is influenced by additive genetics and age Ribeiro, André Mauric F. Sanglard, Leticia P. Wijesena, Hiruni R. Ciobanu, Daniel C. Horvath, Steve Spangler, Matthew L. Sci Rep Article DNA methylation (DNAm) has been considered a promising indicator of biological age in mammals and could be useful to increase the accuracy of phenotypic prediction in livestock. The objectives of this study were to estimate the heritability and age effects of site-specific DNAm (DNAm level) and cumulative DNAm across all sites (DNAm load) in beef cattle. Blood samples were collected from cows ranging from 217 to 3,192 days (0.6 to 8.7 years) of age (n = 136). All animals were genotyped, and DNAm was obtained using the Infinium array HorvathMammalMethylChip40. Genetic parameters for DNAm were obtained from an animal model based on the genomic relationship matrix, including the fixed effects of age and breed composition. Heritability estimates of DNAm levels ranged from 0.18 to 0.72, with a similar average across all regions and chromosomes. Heritability estimate of DNAm load was 0.45. The average age effect on DNAm level varied among genomic regions. The DNAm level across the genome increased with age in the promoter and 5′ UTR and decreased in the exonic, intronic, 3′ UTR, and intergenic regions. In addition, DNAm level increased with age in regions enriched in CpG and decreased in regions deficient in CpG. Results suggest DNAm profiles are influenced by both genetics and the environmental effect of age in beef cattle. Nature Publishing Group UK 2022-07-14 /pmc/articles/PMC9283455/ /pubmed/35835812 http://dx.doi.org/10.1038/s41598-022-16350-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Ribeiro, André Mauric F. Sanglard, Leticia P. Wijesena, Hiruni R. Ciobanu, Daniel C. Horvath, Steve Spangler, Matthew L. DNA methylation profile in beef cattle is influenced by additive genetics and age |
title | DNA methylation profile in beef cattle is influenced by additive genetics and age |
title_full | DNA methylation profile in beef cattle is influenced by additive genetics and age |
title_fullStr | DNA methylation profile in beef cattle is influenced by additive genetics and age |
title_full_unstemmed | DNA methylation profile in beef cattle is influenced by additive genetics and age |
title_short | DNA methylation profile in beef cattle is influenced by additive genetics and age |
title_sort | dna methylation profile in beef cattle is influenced by additive genetics and age |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283455/ https://www.ncbi.nlm.nih.gov/pubmed/35835812 http://dx.doi.org/10.1038/s41598-022-16350-9 |
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