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Genomic analysis of stayability in Nellore cattle
Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify po...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462402/ https://www.ncbi.nlm.nih.gov/pubmed/28591167 http://dx.doi.org/10.1371/journal.pone.0179076 |
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author | Barreto Amaral Teixeira, Daniela Alves Fernandes Júnior, Gerardo Beraldo dos Santos Silva, Danielly Bermal Costa, Raphael Takada, Luciana Gustavo Mansan Gordo, Daniel Bresolin, Tiago Carvalheiro, Roberto Baldi, Fernando Galvão de Albuquerque, Lucia |
author_facet | Barreto Amaral Teixeira, Daniela Alves Fernandes Júnior, Gerardo Beraldo dos Santos Silva, Danielly Bermal Costa, Raphael Takada, Luciana Gustavo Mansan Gordo, Daniel Bresolin, Tiago Carvalheiro, Roberto Baldi, Fernando Galvão de Albuquerque, Lucia |
author_sort | Barreto Amaral Teixeira, Daniela |
collection | PubMed |
description | Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions. |
format | Online Article Text |
id | pubmed-5462402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54624022017-06-22 Genomic analysis of stayability in Nellore cattle Barreto Amaral Teixeira, Daniela Alves Fernandes Júnior, Gerardo Beraldo dos Santos Silva, Danielly Bermal Costa, Raphael Takada, Luciana Gustavo Mansan Gordo, Daniel Bresolin, Tiago Carvalheiro, Roberto Baldi, Fernando Galvão de Albuquerque, Lucia PLoS One Research Article Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions. Public Library of Science 2017-06-07 /pmc/articles/PMC5462402/ /pubmed/28591167 http://dx.doi.org/10.1371/journal.pone.0179076 Text en © 2017 Barreto Amaral Teixeira et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Barreto Amaral Teixeira, Daniela Alves Fernandes Júnior, Gerardo Beraldo dos Santos Silva, Danielly Bermal Costa, Raphael Takada, Luciana Gustavo Mansan Gordo, Daniel Bresolin, Tiago Carvalheiro, Roberto Baldi, Fernando Galvão de Albuquerque, Lucia Genomic analysis of stayability in Nellore cattle |
title | Genomic analysis of stayability in Nellore cattle |
title_full | Genomic analysis of stayability in Nellore cattle |
title_fullStr | Genomic analysis of stayability in Nellore cattle |
title_full_unstemmed | Genomic analysis of stayability in Nellore cattle |
title_short | Genomic analysis of stayability in Nellore cattle |
title_sort | genomic analysis of stayability in nellore cattle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462402/ https://www.ncbi.nlm.nih.gov/pubmed/28591167 http://dx.doi.org/10.1371/journal.pone.0179076 |
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