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Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep

BACKGROUND: Dagginess (faecal soiling of the perineum region) and host nematode parasite resistance are important animal welfare traits in New Zealand sheep. Genomic prediction (GP) estimates the genetic merit, as a molecular breeding value (mBV), for each trait based on many SNPs. The additional in...

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Autores principales: Pickering, Natalie K., Auvray, Benoit, Dodds, Ken G., McEwan, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650926/
https://www.ncbi.nlm.nih.gov/pubmed/26576677
http://dx.doi.org/10.1186/s12864-015-2148-2
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author Pickering, Natalie K.
Auvray, Benoit
Dodds, Ken G.
McEwan, John C.
author_facet Pickering, Natalie K.
Auvray, Benoit
Dodds, Ken G.
McEwan, John C.
author_sort Pickering, Natalie K.
collection PubMed
description BACKGROUND: Dagginess (faecal soiling of the perineum region) and host nematode parasite resistance are important animal welfare traits in New Zealand sheep. Genomic prediction (GP) estimates the genetic merit, as a molecular breeding value (mBV), for each trait based on many SNPs. The additional information the mBV provides (as determined by its accuracy) has led to its incorporation into breeding schemes. Some GP methods give SNP effects, which provide additional information to identify genome-wide associations (GWAS) for a trait of interest. Here we report results from a GP and GWAS study for dagginess and host nematode parasite resistance in a New Zealand sheep industry resource. RESULTS: Genomic prediction analysis was performed using 50K SNP chip data and parent average-removed, de-regressed BVs for five traits, from a resource of 8705 pedigree recorded animals. The five traits were dag score at three and eight months (DAG3, DAG8) and nematode faecal egg count in summer (FEC1), autumn (FEC2) and as an adult (AFEC). The resource consisted of Romney, Coopworth, Perendale, Texel and various breed crosses (designated: CompRCP, CompRCPT and CompCRP). The pure breeds, apart from Texel, plus CompRCP were used to develop the GP. The resulting SNP effects were used to identify genetic regions associated with dagginess and parasite resistance. Accuracies of the weighted correlation between mBV and true BV ranged between −0.07 (Texel) and 0.56 (Coopworth) for DAG3 and DAG8. For FEC1, FEC2 and AFEC accuracies ranged between −0.22 (CompRCPT) and 0.69 (Coopworth). The weighted average individual accuracy (calculated from theory) ranges were 0.13 (Texel) to 0.52 (Coopworth) and 0.11 (Texel) to 0.55 (Coopworth) respectively, for dagginess and parasite traits. There was one SNP for DAG8 that reached Bonferroni significance threshold (P < 1 × 10(−6)) on OAR15, the same two SNPs for each of the parasite traits (OAR26) and none for DAG3. A notable peak was also observed on OAR7 for all the parasite traits, however, it did not reach the Bonferroni significance threshold. CONCLUSIONS: This study presents the first results of a GWAS on dagginess and faecal egg count traits in New Zealand sheep. The results suggest that there are quantitative trait loci on OAR 15 for dagginess and on OAR26 and seven for faecal egg count. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2148-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-46509262015-11-19 Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep Pickering, Natalie K. Auvray, Benoit Dodds, Ken G. McEwan, John C. BMC Genomics Research Article BACKGROUND: Dagginess (faecal soiling of the perineum region) and host nematode parasite resistance are important animal welfare traits in New Zealand sheep. Genomic prediction (GP) estimates the genetic merit, as a molecular breeding value (mBV), for each trait based on many SNPs. The additional information the mBV provides (as determined by its accuracy) has led to its incorporation into breeding schemes. Some GP methods give SNP effects, which provide additional information to identify genome-wide associations (GWAS) for a trait of interest. Here we report results from a GP and GWAS study for dagginess and host nematode parasite resistance in a New Zealand sheep industry resource. RESULTS: Genomic prediction analysis was performed using 50K SNP chip data and parent average-removed, de-regressed BVs for five traits, from a resource of 8705 pedigree recorded animals. The five traits were dag score at three and eight months (DAG3, DAG8) and nematode faecal egg count in summer (FEC1), autumn (FEC2) and as an adult (AFEC). The resource consisted of Romney, Coopworth, Perendale, Texel and various breed crosses (designated: CompRCP, CompRCPT and CompCRP). The pure breeds, apart from Texel, plus CompRCP were used to develop the GP. The resulting SNP effects were used to identify genetic regions associated with dagginess and parasite resistance. Accuracies of the weighted correlation between mBV and true BV ranged between −0.07 (Texel) and 0.56 (Coopworth) for DAG3 and DAG8. For FEC1, FEC2 and AFEC accuracies ranged between −0.22 (CompRCPT) and 0.69 (Coopworth). The weighted average individual accuracy (calculated from theory) ranges were 0.13 (Texel) to 0.52 (Coopworth) and 0.11 (Texel) to 0.55 (Coopworth) respectively, for dagginess and parasite traits. There was one SNP for DAG8 that reached Bonferroni significance threshold (P < 1 × 10(−6)) on OAR15, the same two SNPs for each of the parasite traits (OAR26) and none for DAG3. A notable peak was also observed on OAR7 for all the parasite traits, however, it did not reach the Bonferroni significance threshold. CONCLUSIONS: This study presents the first results of a GWAS on dagginess and faecal egg count traits in New Zealand sheep. The results suggest that there are quantitative trait loci on OAR 15 for dagginess and on OAR26 and seven for faecal egg count. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2148-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-17 /pmc/articles/PMC4650926/ /pubmed/26576677 http://dx.doi.org/10.1186/s12864-015-2148-2 Text en © Pickering et al. 2015 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
Pickering, Natalie K.
Auvray, Benoit
Dodds, Ken G.
McEwan, John C.
Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep
title Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep
title_full Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep
title_fullStr Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep
title_full_unstemmed Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep
title_short Genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in New Zealand sheep
title_sort genomic prediction and genome-wide association study for dagginess and host internal parasite resistance in new zealand sheep
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650926/
https://www.ncbi.nlm.nih.gov/pubmed/26576677
http://dx.doi.org/10.1186/s12864-015-2148-2
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