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Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle
BACKGROUND: While autozygosity as a consequence of selection is well understood, there is limited information on the ability of different methods to measure true inbreeding. In the present study, a gene dropping simulation was performed and inbreeding estimates based on runs of homozygosity (ROH), p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787230/ https://www.ncbi.nlm.nih.gov/pubmed/29374456 http://dx.doi.org/10.1186/s12864-018-4453-z |
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author | Forutan, Mehrnush Ansari Mahyari, Saeid Baes, Christine Melzer, Nina Schenkel, Flavio Schramm Sargolzaei, Mehdi |
author_facet | Forutan, Mehrnush Ansari Mahyari, Saeid Baes, Christine Melzer, Nina Schenkel, Flavio Schramm Sargolzaei, Mehdi |
author_sort | Forutan, Mehrnush |
collection | PubMed |
description | BACKGROUND: While autozygosity as a consequence of selection is well understood, there is limited information on the ability of different methods to measure true inbreeding. In the present study, a gene dropping simulation was performed and inbreeding estimates based on runs of homozygosity (ROH), pedigree, and the genomic relationship matrix were compared to true inbreeding. Inbreeding based on ROH was estimated using SNP1101, PLINK, and BCFtools software with different threshold parameters. The effects of different selection methods on ROH patterns were also compared. Furthermore, inbreeding coefficients were estimated in a sample of genotyped North American Holstein animals born from 1990 to 2016 using 50 k chip data and ROH patterns were assessed before and after genomic selection. RESULTS: Using ROH with a minimum window size of 20 to 50 using SNP1101 provided the closest estimates to true inbreeding in simulation study. Pedigree inbreeding tended to underestimate true inbreeding, and results for genomic inbreeding varied depending on assumptions about base allele frequencies. Using an ROH approach also made it possible to assess the effect of population structure and selection on distribution of runs of autozygosity across the genome. In the simulation, the longest individual ROH and the largest average length of ROH were observed when selection was based on best linear unbiased prediction (BLUP), whereas genomic selection showed the largest number of small ROH compared to BLUP estimated breeding values (BLUP-EBV). In North American Holsteins, the average number of ROH segments of 1 Mb or more per individual increased from 57 in 1990 to 82 in 2016. The rate of increase in the last 5 years was almost double that of previous 5 year periods. Genomic selection results in less autozygosity per generation, but more per year given the reduced generation interval. CONCLUSIONS: This study shows that existing software based on the measurement of ROH can accurately identify autozygosity across the genome, provided appropriate threshold parameters are used. Our results show how different selection strategies affect the distribution of ROH, and how the distribution of ROH has changed in the North American dairy cattle population over the last 25 years. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4453-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5787230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57872302018-02-08 Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle Forutan, Mehrnush Ansari Mahyari, Saeid Baes, Christine Melzer, Nina Schenkel, Flavio Schramm Sargolzaei, Mehdi BMC Genomics Research Article BACKGROUND: While autozygosity as a consequence of selection is well understood, there is limited information on the ability of different methods to measure true inbreeding. In the present study, a gene dropping simulation was performed and inbreeding estimates based on runs of homozygosity (ROH), pedigree, and the genomic relationship matrix were compared to true inbreeding. Inbreeding based on ROH was estimated using SNP1101, PLINK, and BCFtools software with different threshold parameters. The effects of different selection methods on ROH patterns were also compared. Furthermore, inbreeding coefficients were estimated in a sample of genotyped North American Holstein animals born from 1990 to 2016 using 50 k chip data and ROH patterns were assessed before and after genomic selection. RESULTS: Using ROH with a minimum window size of 20 to 50 using SNP1101 provided the closest estimates to true inbreeding in simulation study. Pedigree inbreeding tended to underestimate true inbreeding, and results for genomic inbreeding varied depending on assumptions about base allele frequencies. Using an ROH approach also made it possible to assess the effect of population structure and selection on distribution of runs of autozygosity across the genome. In the simulation, the longest individual ROH and the largest average length of ROH were observed when selection was based on best linear unbiased prediction (BLUP), whereas genomic selection showed the largest number of small ROH compared to BLUP estimated breeding values (BLUP-EBV). In North American Holsteins, the average number of ROH segments of 1 Mb or more per individual increased from 57 in 1990 to 82 in 2016. The rate of increase in the last 5 years was almost double that of previous 5 year periods. Genomic selection results in less autozygosity per generation, but more per year given the reduced generation interval. CONCLUSIONS: This study shows that existing software based on the measurement of ROH can accurately identify autozygosity across the genome, provided appropriate threshold parameters are used. Our results show how different selection strategies affect the distribution of ROH, and how the distribution of ROH has changed in the North American dairy cattle population over the last 25 years. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4453-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-27 /pmc/articles/PMC5787230/ /pubmed/29374456 http://dx.doi.org/10.1186/s12864-018-4453-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Forutan, Mehrnush Ansari Mahyari, Saeid Baes, Christine Melzer, Nina Schenkel, Flavio Schramm Sargolzaei, Mehdi Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle |
title | Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle |
title_full | Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle |
title_fullStr | Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle |
title_full_unstemmed | Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle |
title_short | Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle |
title_sort | inbreeding and runs of homozygosity before and after genomic selection in north american holstein cattle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787230/ https://www.ncbi.nlm.nih.gov/pubmed/29374456 http://dx.doi.org/10.1186/s12864-018-4453-z |
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