Detection of copy number variants in African goats using whole genome sequence data

Abstract Background Copy number variations (CNV) are a significant source of variation in the genome and are therefore essential to the understanding of genetic characterization. The aim of this study was to develop a fine-scaled copy number variation map for African goats. We used sequence data fro...

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Main Authors: Wilson Nandolo, Gábor Mészáros, Maria Wurzinger, Liveness J. Banda, Timothy N. Gondwe, Henry A. Mulindwa, Helen N. Nakimbugwe, Emily L. Clark, M. Jennifer Woodward-Greene, Mei Liu, the VarGoats Consortium, George E. Liu, Curtis P. Van Tassell, Benjamin D. Rosen, Johann Sölkner
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12864-021-07703-1
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spelling doaj-62e098e1f31a49d881037038293225e72021-05-30T11:25:50ZengBMCBMC Genomics1471-21642021-05-0122111510.1186/s12864-021-07703-1Detection of copy number variants in African goats using whole genome sequence dataWilson Nandolo0Gábor Mészáros1Maria Wurzinger2Liveness J. Banda3Timothy N. Gondwe4Henry A. Mulindwa5Helen N. Nakimbugwe6Emily L. Clark7M. Jennifer Woodward-Greene8Mei Liu9the VarGoats ConsortiumGeorge E. Liu10Curtis P. Van Tassell11Benjamin D. Rosen12Johann Sölkner13University of Natural Resources and Life SciencesUniversity of Natural Resources and Life SciencesUniversity of Natural Resources and Life SciencesLilongwe University of Agriculture and Natural ResourcesLilongwe University of Agriculture and Natural ResourcesNational Livestock Resources Research InstituteKyambogo UniversityThe Roslin Institute, University of EdinburghAnimal Genomics and Improvement Laboratory, USDA-ARSAnimal Genomics and Improvement Laboratory, USDA-ARSAnimal Genomics and Improvement Laboratory, USDA-ARSAnimal Genomics and Improvement Laboratory, USDA-ARSAnimal Genomics and Improvement Laboratory, USDA-ARSUniversity of Natural Resources and Life SciencesAbstract Background Copy number variations (CNV) are a significant source of variation in the genome and are therefore essential to the understanding of genetic characterization. The aim of this study was to develop a fine-scaled copy number variation map for African goats. We used sequence data from multiple breeds and from multiple African countries. Results A total of 253,553 CNV (244,876 deletions and 8677 duplications) were identified, corresponding to an overall average of 1393 CNV per animal. The mean CNV length was 3.3 kb, with a median of 1.3 kb. There was substantial differentiation between the populations for some CNV, suggestive of the effect of population-specific selective pressures. A total of 6231 global CNV regions (CNVR) were found across all animals, representing 59.2 Mb (2.4%) of the goat genome. About 1.6% of the CNVR were present in all 34 breeds and 28.7% were present in all 5 geographical areas across Africa, where animals had been sampled. The CNVR had genes that were highly enriched in important biological functions, molecular functions, and cellular components including retrograde endocannabinoid signaling, glutamatergic synapse and circadian entrainment. Conclusions This study presents the first fine CNV map of African goat based on WGS data and adds to the growing body of knowledge on the genetic characterization of goats.https://doi.org/10.1186/s12864-021-07703-1African goatsCopy number variationsWhole genome sequence
collection DOAJ
language English
format Article
sources DOAJ
author Wilson Nandolo
Gábor Mészáros
Maria Wurzinger
Liveness J. Banda
Timothy N. Gondwe
Henry A. Mulindwa
Helen N. Nakimbugwe
Emily L. Clark
M. Jennifer Woodward-Greene
Mei Liu
the VarGoats Consortium
George E. Liu
Curtis P. Van Tassell
Benjamin D. Rosen
Johann Sölkner
spellingShingle Wilson Nandolo
Gábor Mészáros
Maria Wurzinger
Liveness J. Banda
Timothy N. Gondwe
Henry A. Mulindwa
Helen N. Nakimbugwe
Emily L. Clark
M. Jennifer Woodward-Greene
Mei Liu
the VarGoats Consortium
George E. Liu
Curtis P. Van Tassell
Benjamin D. Rosen
Johann Sölkner
Detection of copy number variants in African goats using whole genome sequence data
BMC Genomics
African goats
Copy number variations
Whole genome sequence
author_facet Wilson Nandolo
Gábor Mészáros
Maria Wurzinger
Liveness J. Banda
Timothy N. Gondwe
Henry A. Mulindwa
Helen N. Nakimbugwe
Emily L. Clark
M. Jennifer Woodward-Greene
Mei Liu
the VarGoats Consortium
George E. Liu
Curtis P. Van Tassell
Benjamin D. Rosen
Johann Sölkner
author_sort Wilson Nandolo
title Detection of copy number variants in African goats using whole genome sequence data
title_short Detection of copy number variants in African goats using whole genome sequence data
title_full Detection of copy number variants in African goats using whole genome sequence data
title_fullStr Detection of copy number variants in African goats using whole genome sequence data
title_full_unstemmed Detection of copy number variants in African goats using whole genome sequence data
title_sort detection of copy number variants in african goats using whole genome sequence data
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2021-05-01
description Abstract Background Copy number variations (CNV) are a significant source of variation in the genome and are therefore essential to the understanding of genetic characterization. The aim of this study was to develop a fine-scaled copy number variation map for African goats. We used sequence data from multiple breeds and from multiple African countries. Results A total of 253,553 CNV (244,876 deletions and 8677 duplications) were identified, corresponding to an overall average of 1393 CNV per animal. The mean CNV length was 3.3 kb, with a median of 1.3 kb. There was substantial differentiation between the populations for some CNV, suggestive of the effect of population-specific selective pressures. A total of 6231 global CNV regions (CNVR) were found across all animals, representing 59.2 Mb (2.4%) of the goat genome. About 1.6% of the CNVR were present in all 34 breeds and 28.7% were present in all 5 geographical areas across Africa, where animals had been sampled. The CNVR had genes that were highly enriched in important biological functions, molecular functions, and cellular components including retrograde endocannabinoid signaling, glutamatergic synapse and circadian entrainment. Conclusions This study presents the first fine CNV map of African goat based on WGS data and adds to the growing body of knowledge on the genetic characterization of goats.
topic African goats
Copy number variations
Whole genome sequence
url https://doi.org/10.1186/s12864-021-07703-1
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