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Copy number variations in high and low fertility breeding boars

BACKGROUND: In this study we applied the extreme groups/selective genotyping approach for identifying copy number variations in high and low fertility breeding boars. The fertility indicator was the calculated Direct Boar Effect on litter size (DBE) that was obtained as a by-product of the national...

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Autores principales: Revay, Tamas, Quach, Anh T, Maignel, Laurence, Sullivan, Brian, King, W Allan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404230/
https://www.ncbi.nlm.nih.gov/pubmed/25888238
http://dx.doi.org/10.1186/s12864-015-1473-9
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author Revay, Tamas
Quach, Anh T
Maignel, Laurence
Sullivan, Brian
King, W Allan
author_facet Revay, Tamas
Quach, Anh T
Maignel, Laurence
Sullivan, Brian
King, W Allan
author_sort Revay, Tamas
collection PubMed
description BACKGROUND: In this study we applied the extreme groups/selective genotyping approach for identifying copy number variations in high and low fertility breeding boars. The fertility indicator was the calculated Direct Boar Effect on litter size (DBE) that was obtained as a by-product of the national genetic evaluation for litter size (BLUP). The two groups of animals had DBE values at the upper (high fertility) and lower (low fertility) end of the distribution from a population of more than 38,000 boars. Animals from these two diverse phenotypes were genotyped with the Porcine SNP60K chip and compared by several approaches in order to prove the feasibility of our CNV analysis and to identify putative markers of fertility. RESULTS: We have identified 35 CNVRs covering 36.5 Mb or ~1.3% of the porcine genome. Among these 35 CNVRs, 14 were specific to the high fertility group, while 19 CNVRs were specific to the low fertility group which overlap with 137 QTLs of various reproductive traits. The identified 35 CNVRs encompassed 50 genes, among them 40 were specific to the low fertility group, seven to the high fertility group, while three were found in regions that were present in both groups but with opposite gain/loss status. A functional analysis of several databases revealed that the genes found in CNVRs from the low fertility group have been significantly enriched in members of the innate immune system, Toll-like receptor and RIG-I-like receptor signaling and fatty acid oxidation pathways. CONCLUSIONS: We have demonstrated that our analysis pipeline could identify putative CNV markers of fertility, especially in case of low fertility boars. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1473-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-44042302015-04-21 Copy number variations in high and low fertility breeding boars Revay, Tamas Quach, Anh T Maignel, Laurence Sullivan, Brian King, W Allan BMC Genomics Research Article BACKGROUND: In this study we applied the extreme groups/selective genotyping approach for identifying copy number variations in high and low fertility breeding boars. The fertility indicator was the calculated Direct Boar Effect on litter size (DBE) that was obtained as a by-product of the national genetic evaluation for litter size (BLUP). The two groups of animals had DBE values at the upper (high fertility) and lower (low fertility) end of the distribution from a population of more than 38,000 boars. Animals from these two diverse phenotypes were genotyped with the Porcine SNP60K chip and compared by several approaches in order to prove the feasibility of our CNV analysis and to identify putative markers of fertility. RESULTS: We have identified 35 CNVRs covering 36.5 Mb or ~1.3% of the porcine genome. Among these 35 CNVRs, 14 were specific to the high fertility group, while 19 CNVRs were specific to the low fertility group which overlap with 137 QTLs of various reproductive traits. The identified 35 CNVRs encompassed 50 genes, among them 40 were specific to the low fertility group, seven to the high fertility group, while three were found in regions that were present in both groups but with opposite gain/loss status. A functional analysis of several databases revealed that the genes found in CNVRs from the low fertility group have been significantly enriched in members of the innate immune system, Toll-like receptor and RIG-I-like receptor signaling and fatty acid oxidation pathways. CONCLUSIONS: We have demonstrated that our analysis pipeline could identify putative CNV markers of fertility, especially in case of low fertility boars. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1473-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-10 /pmc/articles/PMC4404230/ /pubmed/25888238 http://dx.doi.org/10.1186/s12864-015-1473-9 Text en © Revay et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), 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
Revay, Tamas
Quach, Anh T
Maignel, Laurence
Sullivan, Brian
King, W Allan
Copy number variations in high and low fertility breeding boars
title Copy number variations in high and low fertility breeding boars
title_full Copy number variations in high and low fertility breeding boars
title_fullStr Copy number variations in high and low fertility breeding boars
title_full_unstemmed Copy number variations in high and low fertility breeding boars
title_short Copy number variations in high and low fertility breeding boars
title_sort copy number variations in high and low fertility breeding boars
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404230/
https://www.ncbi.nlm.nih.gov/pubmed/25888238
http://dx.doi.org/10.1186/s12864-015-1473-9
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