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Genome-Wide Association Analyses of Fertility Traits in Beef Heifers

The ability of livestock to reproduce efficiently is critical to the sustainability of animal agriculture. Antral follicle count (AFC) and reproductive tract scores (RTS) can be used to estimate fertility in beef heifers, but the genetic mechanisms influencing variation in these measures are not wel...

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Autores principales: Stegemiller, Morgan R., Murdoch, Gordon K., Rowan, Troy N., Davenport, Kimberly M., Becker, Gabrielle M., Hall, John B., Murdoch, Brenda M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913221/
https://www.ncbi.nlm.nih.gov/pubmed/33540904
http://dx.doi.org/10.3390/genes12020217
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author Stegemiller, Morgan R.
Murdoch, Gordon K.
Rowan, Troy N.
Davenport, Kimberly M.
Becker, Gabrielle M.
Hall, John B.
Murdoch, Brenda M.
author_facet Stegemiller, Morgan R.
Murdoch, Gordon K.
Rowan, Troy N.
Davenport, Kimberly M.
Becker, Gabrielle M.
Hall, John B.
Murdoch, Brenda M.
author_sort Stegemiller, Morgan R.
collection PubMed
description The ability of livestock to reproduce efficiently is critical to the sustainability of animal agriculture. Antral follicle count (AFC) and reproductive tract scores (RTS) can be used to estimate fertility in beef heifers, but the genetic mechanisms influencing variation in these measures are not well understood. Two genome-wide association studies (GWAS) were conducted to identify the significant loci associated with these traits. In total, 293 crossbred beef heifers were genotyped on the Bovine GGP 50K chip and genotypes were imputed to 836,121 markers. A GWAS was performed with the AFC phenotype for 217 heifers with a multi-locus mixed model, conducted using the year, age at time of sampling and principal component analysis groupings as the covariates. The RTS GWAS was performed with 289 heifers using an additive correlation/trend test comparing prepubertal to pubertal heifers. The loci on chromosomes 2, 3 and 23 were significant in the AFC GWAS and the loci on chromosomes 2, 8, 10 and 11 were significant in the RTS GWAS. The significant region on chromosome 2 was similar between both analyses. These regions contained genes associated with cell proliferation, transcription, apoptosis and development. This study proposes candidate genes for beef cattle fertility, although future research is needed to elucidate the precise mechanisms.
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spelling pubmed-79132212021-02-28 Genome-Wide Association Analyses of Fertility Traits in Beef Heifers Stegemiller, Morgan R. Murdoch, Gordon K. Rowan, Troy N. Davenport, Kimberly M. Becker, Gabrielle M. Hall, John B. Murdoch, Brenda M. Genes (Basel) Article The ability of livestock to reproduce efficiently is critical to the sustainability of animal agriculture. Antral follicle count (AFC) and reproductive tract scores (RTS) can be used to estimate fertility in beef heifers, but the genetic mechanisms influencing variation in these measures are not well understood. Two genome-wide association studies (GWAS) were conducted to identify the significant loci associated with these traits. In total, 293 crossbred beef heifers were genotyped on the Bovine GGP 50K chip and genotypes were imputed to 836,121 markers. A GWAS was performed with the AFC phenotype for 217 heifers with a multi-locus mixed model, conducted using the year, age at time of sampling and principal component analysis groupings as the covariates. The RTS GWAS was performed with 289 heifers using an additive correlation/trend test comparing prepubertal to pubertal heifers. The loci on chromosomes 2, 3 and 23 were significant in the AFC GWAS and the loci on chromosomes 2, 8, 10 and 11 were significant in the RTS GWAS. The significant region on chromosome 2 was similar between both analyses. These regions contained genes associated with cell proliferation, transcription, apoptosis and development. This study proposes candidate genes for beef cattle fertility, although future research is needed to elucidate the precise mechanisms. MDPI 2021-02-02 /pmc/articles/PMC7913221/ /pubmed/33540904 http://dx.doi.org/10.3390/genes12020217 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stegemiller, Morgan R.
Murdoch, Gordon K.
Rowan, Troy N.
Davenport, Kimberly M.
Becker, Gabrielle M.
Hall, John B.
Murdoch, Brenda M.
Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
title Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
title_full Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
title_fullStr Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
title_full_unstemmed Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
title_short Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
title_sort genome-wide association analyses of fertility traits in beef heifers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913221/
https://www.ncbi.nlm.nih.gov/pubmed/33540904
http://dx.doi.org/10.3390/genes12020217
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