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Detection of copy number variants in African goats using whole genome sequence data
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 multip...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164248/ https://www.ncbi.nlm.nih.gov/pubmed/34051743 http://dx.doi.org/10.1186/s12864-021-07703-1 |
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author | Nandolo, Wilson Mészáros, Gábor Wurzinger, Maria Banda, Liveness J. Gondwe, Timothy N. Mulindwa, Henry A. Nakimbugwe, Helen N. Clark, Emily L. Woodward-Greene, M. Jennifer Liu, Mei Liu, George E. Van Tassell, Curtis P. Rosen, Benjamin D. Sölkner, Johann |
author_facet | Nandolo, Wilson Mészáros, Gábor Wurzinger, Maria Banda, Liveness J. Gondwe, Timothy N. Mulindwa, Henry A. Nakimbugwe, Helen N. Clark, Emily L. Woodward-Greene, M. Jennifer Liu, Mei Liu, George E. Van Tassell, Curtis P. Rosen, Benjamin D. Sölkner, Johann |
author_sort | Nandolo, Wilson |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07703-1. |
format | Online Article Text |
id | pubmed-8164248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81642482021-06-01 Detection of copy number variants in African goats using whole genome sequence data Nandolo, Wilson Mészáros, Gábor Wurzinger, Maria Banda, Liveness J. Gondwe, Timothy N. Mulindwa, Henry A. Nakimbugwe, Helen N. Clark, Emily L. Woodward-Greene, M. Jennifer Liu, Mei Liu, George E. Van Tassell, Curtis P. Rosen, Benjamin D. Sölkner, Johann BMC Genomics Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07703-1. BioMed Central 2021-05-29 /pmc/articles/PMC8164248/ /pubmed/34051743 http://dx.doi.org/10.1186/s12864-021-07703-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nandolo, Wilson Mészáros, Gábor Wurzinger, Maria Banda, Liveness J. Gondwe, Timothy N. Mulindwa, Henry A. Nakimbugwe, Helen N. Clark, Emily L. Woodward-Greene, M. Jennifer Liu, Mei Liu, George E. Van Tassell, Curtis P. Rosen, Benjamin D. Sölkner, Johann Detection of copy number variants in African goats using whole genome sequence data |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164248/ https://www.ncbi.nlm.nih.gov/pubmed/34051743 http://dx.doi.org/10.1186/s12864-021-07703-1 |
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