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Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle

BACKGROUND: This study was conducted to: (1) identify new SNPs for residual feed intake (RFI) and performance traits within candidate genes identified in a genome wide association study (GWAS); (2) estimate the proportion of variation in RFI explained by the detected SNPs; (3) estimate the effects o...

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Autores principales: Abo-Ismail, Mohammed K, Vander Voort, Gordon, Squires, James J, Swanson, Kendall C, Mandell, Ira B, Liao, Xiaoping, Stothard, Paul, Moore, Stephen, Plastow, Graham, Miller, Stephen P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927660/
https://www.ncbi.nlm.nih.gov/pubmed/24476087
http://dx.doi.org/10.1186/1471-2156-15-14
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author Abo-Ismail, Mohammed K
Vander Voort, Gordon
Squires, James J
Swanson, Kendall C
Mandell, Ira B
Liao, Xiaoping
Stothard, Paul
Moore, Stephen
Plastow, Graham
Miller, Stephen P
author_facet Abo-Ismail, Mohammed K
Vander Voort, Gordon
Squires, James J
Swanson, Kendall C
Mandell, Ira B
Liao, Xiaoping
Stothard, Paul
Moore, Stephen
Plastow, Graham
Miller, Stephen P
author_sort Abo-Ismail, Mohammed K
collection PubMed
description BACKGROUND: This study was conducted to: (1) identify new SNPs for residual feed intake (RFI) and performance traits within candidate genes identified in a genome wide association study (GWAS); (2) estimate the proportion of variation in RFI explained by the detected SNPs; (3) estimate the effects of detected SNPs on carcass traits to avoid undesirable correlated effects on these economically important traits when selecting for feed efficiency; and (4) map the genes to biological mechanisms and pathways. A total number of 339 SNPs corresponding to 180 genes were tested for association with phenotypes using a single locus regression (SLRM) and genotypic model on 726 and 990 crossbred animals for feed efficiency and carcass traits, respectively. RESULTS: Strong evidence of associations for RFI were located on chromosomes 8, 15, 16, 18, 19, 21, and 28. The strongest association with RFI (P = 0.0017) was found with a newly discovered SNP located on BTA 8 within the ELP3 gene. SNPs rs41820824 and rs41821600 on BTA 16 within the gene HMCN1 were strongly associated with RFI (P = 0.0064 and P = 0.0033, respectively). A SNP located on BTA 18 within the ZNF423 gene provided strong evidence for association with RFI (P = 0.0028). Genomic estimated breeding values (GEBV) from 98 significant SNPs were moderately correlated (0.47) to the estimated breeding values (EBVs) from a mixed animal model. The significant (P < 0.05) SNPs (98) explained 26% of the genetic variance for RFI. In silico functional analysis for the genes suggested 35 and 39 biological processes and pathways, respectively for feed efficiency traits. CONCLUSIONS: This study identified several positional and functional candidate genes involved in important biological mechanisms associated with feed efficiency and performance. Significant SNPs should be validated in other populations to establish their potential utilization in genetic improvement programs.
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spelling pubmed-39276602014-03-05 Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle Abo-Ismail, Mohammed K Vander Voort, Gordon Squires, James J Swanson, Kendall C Mandell, Ira B Liao, Xiaoping Stothard, Paul Moore, Stephen Plastow, Graham Miller, Stephen P BMC Genet Research Article BACKGROUND: This study was conducted to: (1) identify new SNPs for residual feed intake (RFI) and performance traits within candidate genes identified in a genome wide association study (GWAS); (2) estimate the proportion of variation in RFI explained by the detected SNPs; (3) estimate the effects of detected SNPs on carcass traits to avoid undesirable correlated effects on these economically important traits when selecting for feed efficiency; and (4) map the genes to biological mechanisms and pathways. A total number of 339 SNPs corresponding to 180 genes were tested for association with phenotypes using a single locus regression (SLRM) and genotypic model on 726 and 990 crossbred animals for feed efficiency and carcass traits, respectively. RESULTS: Strong evidence of associations for RFI were located on chromosomes 8, 15, 16, 18, 19, 21, and 28. The strongest association with RFI (P = 0.0017) was found with a newly discovered SNP located on BTA 8 within the ELP3 gene. SNPs rs41820824 and rs41821600 on BTA 16 within the gene HMCN1 were strongly associated with RFI (P = 0.0064 and P = 0.0033, respectively). A SNP located on BTA 18 within the ZNF423 gene provided strong evidence for association with RFI (P = 0.0028). Genomic estimated breeding values (GEBV) from 98 significant SNPs were moderately correlated (0.47) to the estimated breeding values (EBVs) from a mixed animal model. The significant (P < 0.05) SNPs (98) explained 26% of the genetic variance for RFI. In silico functional analysis for the genes suggested 35 and 39 biological processes and pathways, respectively for feed efficiency traits. CONCLUSIONS: This study identified several positional and functional candidate genes involved in important biological mechanisms associated with feed efficiency and performance. Significant SNPs should be validated in other populations to establish their potential utilization in genetic improvement programs. BioMed Central 2014-01-30 /pmc/articles/PMC3927660/ /pubmed/24476087 http://dx.doi.org/10.1186/1471-2156-15-14 Text en Copyright © 2014 Abo-Ismail et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Abo-Ismail, Mohammed K
Vander Voort, Gordon
Squires, James J
Swanson, Kendall C
Mandell, Ira B
Liao, Xiaoping
Stothard, Paul
Moore, Stephen
Plastow, Graham
Miller, Stephen P
Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
title Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
title_full Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
title_fullStr Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
title_full_unstemmed Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
title_short Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
title_sort single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927660/
https://www.ncbi.nlm.nih.gov/pubmed/24476087
http://dx.doi.org/10.1186/1471-2156-15-14
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