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Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle

BACKGROUND: Inbreeding depression refers to the decrease in mean performance due to inbreeding. Inbreeding depression is caused by an increase in homozygosity and reduced expression of (on average) favourable dominance effects. Dominance effects and allele frequencies differ across loci, and consequ...

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Autores principales: Doekes, Harmen P., Bijma, Piter, Veerkamp, Roel F., de Jong, Gerben, Wientjes, Yvonne C. J., Windig, Jack J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594306/
https://www.ncbi.nlm.nih.gov/pubmed/33115403
http://dx.doi.org/10.1186/s12711-020-00583-1
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author Doekes, Harmen P.
Bijma, Piter
Veerkamp, Roel F.
de Jong, Gerben
Wientjes, Yvonne C. J.
Windig, Jack J.
author_facet Doekes, Harmen P.
Bijma, Piter
Veerkamp, Roel F.
de Jong, Gerben
Wientjes, Yvonne C. J.
Windig, Jack J.
author_sort Doekes, Harmen P.
collection PubMed
description BACKGROUND: Inbreeding depression refers to the decrease in mean performance due to inbreeding. Inbreeding depression is caused by an increase in homozygosity and reduced expression of (on average) favourable dominance effects. Dominance effects and allele frequencies differ across loci, and consequently inbreeding depression is expected to differ along the genome. In this study, we investigated differences in inbreeding depression across the genome of Dutch Holstein Friesian cattle, by estimating dominance effects and effects of regions of homozygosity (ROH). METHODS: Genotype (75 k) and phenotype data of 38,792 cows were used. For nine yield, fertility and udder health traits, GREML models were run to estimate genome-wide inbreeding depression and estimate additive, dominance and ROH variance components. For this purpose, we introduced a ROH-based relationship matrix. Additive, dominance and ROH effects per SNP were obtained through back-solving. In addition, a single SNP GWAS was performed to identify significant additive, dominance or ROH associations. RESULTS: Genome-wide inbreeding depression was observed for all yield, fertility and udder health traits. For example, a 1% increase in genome-wide homozygosity was associated with a decrease in 305-d milk yield of approximately 99 kg. For yield traits only, including dominance and ROH effects in the GREML model resulted in a better fit (P < 0.05) than a model with only additive effects. After correcting for the effect of genome-wide homozygosity, dominance and ROH variance explained less than 1% of the phenotypic variance for all traits. Furthermore, dominance and ROH effects were distributed evenly along the genome. The most notable region with a favourable dominance effect for yield traits was on chromosome 5, but overall few regions with large favourable dominance effects and significant dominance associations were detected. No significant ROH-associations were found. CONCLUSIONS: Inbreeding depression was distributed quite equally along the genome and was well captured by genome-wide homozygosity. These findings suggest that, based on 75 k SNP data, there is little benefit of accounting for region-specific inbreeding depression in selection schemes.
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spelling pubmed-75943062020-10-30 Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle Doekes, Harmen P. Bijma, Piter Veerkamp, Roel F. de Jong, Gerben Wientjes, Yvonne C. J. Windig, Jack J. Genet Sel Evol Research Article BACKGROUND: Inbreeding depression refers to the decrease in mean performance due to inbreeding. Inbreeding depression is caused by an increase in homozygosity and reduced expression of (on average) favourable dominance effects. Dominance effects and allele frequencies differ across loci, and consequently inbreeding depression is expected to differ along the genome. In this study, we investigated differences in inbreeding depression across the genome of Dutch Holstein Friesian cattle, by estimating dominance effects and effects of regions of homozygosity (ROH). METHODS: Genotype (75 k) and phenotype data of 38,792 cows were used. For nine yield, fertility and udder health traits, GREML models were run to estimate genome-wide inbreeding depression and estimate additive, dominance and ROH variance components. For this purpose, we introduced a ROH-based relationship matrix. Additive, dominance and ROH effects per SNP were obtained through back-solving. In addition, a single SNP GWAS was performed to identify significant additive, dominance or ROH associations. RESULTS: Genome-wide inbreeding depression was observed for all yield, fertility and udder health traits. For example, a 1% increase in genome-wide homozygosity was associated with a decrease in 305-d milk yield of approximately 99 kg. For yield traits only, including dominance and ROH effects in the GREML model resulted in a better fit (P < 0.05) than a model with only additive effects. After correcting for the effect of genome-wide homozygosity, dominance and ROH variance explained less than 1% of the phenotypic variance for all traits. Furthermore, dominance and ROH effects were distributed evenly along the genome. The most notable region with a favourable dominance effect for yield traits was on chromosome 5, but overall few regions with large favourable dominance effects and significant dominance associations were detected. No significant ROH-associations were found. CONCLUSIONS: Inbreeding depression was distributed quite equally along the genome and was well captured by genome-wide homozygosity. These findings suggest that, based on 75 k SNP data, there is little benefit of accounting for region-specific inbreeding depression in selection schemes. BioMed Central 2020-10-28 /pmc/articles/PMC7594306/ /pubmed/33115403 http://dx.doi.org/10.1186/s12711-020-00583-1 Text en © The Author(s) 2020 Open AccessThis 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/. 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 in a credit line to the data.
spellingShingle Research Article
Doekes, Harmen P.
Bijma, Piter
Veerkamp, Roel F.
de Jong, Gerben
Wientjes, Yvonne C. J.
Windig, Jack J.
Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle
title Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle
title_full Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle
title_fullStr Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle
title_full_unstemmed Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle
title_short Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle
title_sort inbreeding depression across the genome of dutch holstein friesian dairy cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594306/
https://www.ncbi.nlm.nih.gov/pubmed/33115403
http://dx.doi.org/10.1186/s12711-020-00583-1
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