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Copy number variants in the sheep genome detected using multiple approaches

BACKGROUND: Copy number variants (CNVs) are a type of polymorphism found to underlie phenotypic variation, both in humans and livestock. Most surveys of CNV in livestock have been conducted in the cattle genome, and often utilise only a single approach for the detection of copy number differences. H...

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Autores principales: Jenkins, Gemma M., Goddard, Michael E., Black, Michael A., Brauning, Rudiger, Auvray, Benoit, Dodds, Ken G., Kijas, James W., Cockett, Noelle, McEwan, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898393/
https://www.ncbi.nlm.nih.gov/pubmed/27277319
http://dx.doi.org/10.1186/s12864-016-2754-7
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author Jenkins, Gemma M.
Goddard, Michael E.
Black, Michael A.
Brauning, Rudiger
Auvray, Benoit
Dodds, Ken G.
Kijas, James W.
Cockett, Noelle
McEwan, John C.
author_facet Jenkins, Gemma M.
Goddard, Michael E.
Black, Michael A.
Brauning, Rudiger
Auvray, Benoit
Dodds, Ken G.
Kijas, James W.
Cockett, Noelle
McEwan, John C.
author_sort Jenkins, Gemma M.
collection PubMed
description BACKGROUND: Copy number variants (CNVs) are a type of polymorphism found to underlie phenotypic variation, both in humans and livestock. Most surveys of CNV in livestock have been conducted in the cattle genome, and often utilise only a single approach for the detection of copy number differences. Here we performed a study of CNV in sheep, using multiple methods to identify and characterise copy number changes. Comprehensive information from small pedigrees (trios) was collected using multiple platforms (array CGH, SNP chip and whole genome sequence data), with these data then analysed via multiple approaches to identify and verify CNVs. RESULTS: In total, 3,488 autosomal CNV regions (CNVRs) were identified in this study, which substantially builds on an initial survey of the sheep genome that identified 135 CNVRs. The average length of the identified CNVRs was 19 kb (range of 1 kb to 3.6 Mb), with shorter CNVRs being more frequent than longer CNVRs. The total length of all CNVRs was 67.6Mbps, which equates to 2.7 % of the sheep autosomes. For individuals this value ranged from 0.24 to 0.55 %, and the majority of CNVRs were identified in single animals. Rather than being uniformly distributed throughout the genome, CNVRs tended to be clustered. Application of three independent approaches for CNVR detection facilitated a comparison of validation rates. CNVs identified on the Roche-NimbleGen 2.1M CGH array generally had low validation rates with lower density arrays, while whole genome sequence data had the highest validation rate (>60 %). CONCLUSIONS: This study represents the first comprehensive survey of the distribution, prevalence and characteristics of CNVR in sheep. Multiple approaches were used to detect CNV regions and it appears that the best method for verifying CNVR on a large scale involves using a combination of detection methodologies. The characteristics of the 3,488 autosomal CNV regions identified in this study are comparable to other CNV regions reported in the literature and provide a valuable and sizeable addition to the small subset of published sheep CNVs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2754-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-48983932016-06-09 Copy number variants in the sheep genome detected using multiple approaches Jenkins, Gemma M. Goddard, Michael E. Black, Michael A. Brauning, Rudiger Auvray, Benoit Dodds, Ken G. Kijas, James W. Cockett, Noelle McEwan, John C. BMC Genomics Research Article BACKGROUND: Copy number variants (CNVs) are a type of polymorphism found to underlie phenotypic variation, both in humans and livestock. Most surveys of CNV in livestock have been conducted in the cattle genome, and often utilise only a single approach for the detection of copy number differences. Here we performed a study of CNV in sheep, using multiple methods to identify and characterise copy number changes. Comprehensive information from small pedigrees (trios) was collected using multiple platforms (array CGH, SNP chip and whole genome sequence data), with these data then analysed via multiple approaches to identify and verify CNVs. RESULTS: In total, 3,488 autosomal CNV regions (CNVRs) were identified in this study, which substantially builds on an initial survey of the sheep genome that identified 135 CNVRs. The average length of the identified CNVRs was 19 kb (range of 1 kb to 3.6 Mb), with shorter CNVRs being more frequent than longer CNVRs. The total length of all CNVRs was 67.6Mbps, which equates to 2.7 % of the sheep autosomes. For individuals this value ranged from 0.24 to 0.55 %, and the majority of CNVRs were identified in single animals. Rather than being uniformly distributed throughout the genome, CNVRs tended to be clustered. Application of three independent approaches for CNVR detection facilitated a comparison of validation rates. CNVs identified on the Roche-NimbleGen 2.1M CGH array generally had low validation rates with lower density arrays, while whole genome sequence data had the highest validation rate (>60 %). CONCLUSIONS: This study represents the first comprehensive survey of the distribution, prevalence and characteristics of CNVR in sheep. Multiple approaches were used to detect CNV regions and it appears that the best method for verifying CNVR on a large scale involves using a combination of detection methodologies. The characteristics of the 3,488 autosomal CNV regions identified in this study are comparable to other CNV regions reported in the literature and provide a valuable and sizeable addition to the small subset of published sheep CNVs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2754-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-08 /pmc/articles/PMC4898393/ /pubmed/27277319 http://dx.doi.org/10.1186/s12864-016-2754-7 Text en © The Author(s). 2016 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
Jenkins, Gemma M.
Goddard, Michael E.
Black, Michael A.
Brauning, Rudiger
Auvray, Benoit
Dodds, Ken G.
Kijas, James W.
Cockett, Noelle
McEwan, John C.
Copy number variants in the sheep genome detected using multiple approaches
title Copy number variants in the sheep genome detected using multiple approaches
title_full Copy number variants in the sheep genome detected using multiple approaches
title_fullStr Copy number variants in the sheep genome detected using multiple approaches
title_full_unstemmed Copy number variants in the sheep genome detected using multiple approaches
title_short Copy number variants in the sheep genome detected using multiple approaches
title_sort copy number variants in the sheep genome detected using multiple approaches
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898393/
https://www.ncbi.nlm.nih.gov/pubmed/27277319
http://dx.doi.org/10.1186/s12864-016-2754-7
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