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Whole genome sequences of 234 indigenous African chickens from Ethiopia

Indigenous chickens predominate poultry production in Africa. Although preferred for backyard farming because of their adaptability to harsh tropical environments, these populations suffer from relatively low productivity compared to commercial lines. Genome analyses can unravel the genetic potentia...

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Autores principales: Gheyas, Almas, Vallejo-Trujillo, Adriana, Kebede, Adebabay, Dessie, Tadelle, Hanotte, Olivier, Smith, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844291/
https://www.ncbi.nlm.nih.gov/pubmed/35165296
http://dx.doi.org/10.1038/s41597-022-01129-4
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author Gheyas, Almas
Vallejo-Trujillo, Adriana
Kebede, Adebabay
Dessie, Tadelle
Hanotte, Olivier
Smith, Jacqueline
author_facet Gheyas, Almas
Vallejo-Trujillo, Adriana
Kebede, Adebabay
Dessie, Tadelle
Hanotte, Olivier
Smith, Jacqueline
author_sort Gheyas, Almas
collection PubMed
description Indigenous chickens predominate poultry production in Africa. Although preferred for backyard farming because of their adaptability to harsh tropical environments, these populations suffer from relatively low productivity compared to commercial lines. Genome analyses can unravel the genetic potential of improvement of these birds for both production and resilience traits for the benefit of African poultry farming systems. Here we report whole-genome sequences of 234 indigenous chickens from 24 Ethiopian populations distributed under diverse agro-climatic conditions. The data represents over eight terabytes of paired-end sequences from the Ilumina HiSeqX platform with an average coverage of about 57X. Almost 99% of the sequence reads could be mapped against the chicken reference genome (GRCg6a), confirming the high quality of the data. Variant calling detected around 15 million SNPs, of which about 86% are known variants (i.e., present in public databases), providing further confidence on the data quality. The dataset provides an excellent resource for investigating genetic diversity and local environmental adaptations with important implications for breed improvement and conservation purposes.
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spelling pubmed-88442912022-03-04 Whole genome sequences of 234 indigenous African chickens from Ethiopia Gheyas, Almas Vallejo-Trujillo, Adriana Kebede, Adebabay Dessie, Tadelle Hanotte, Olivier Smith, Jacqueline Sci Data Data Descriptor Indigenous chickens predominate poultry production in Africa. Although preferred for backyard farming because of their adaptability to harsh tropical environments, these populations suffer from relatively low productivity compared to commercial lines. Genome analyses can unravel the genetic potential of improvement of these birds for both production and resilience traits for the benefit of African poultry farming systems. Here we report whole-genome sequences of 234 indigenous chickens from 24 Ethiopian populations distributed under diverse agro-climatic conditions. The data represents over eight terabytes of paired-end sequences from the Ilumina HiSeqX platform with an average coverage of about 57X. Almost 99% of the sequence reads could be mapped against the chicken reference genome (GRCg6a), confirming the high quality of the data. Variant calling detected around 15 million SNPs, of which about 86% are known variants (i.e., present in public databases), providing further confidence on the data quality. The dataset provides an excellent resource for investigating genetic diversity and local environmental adaptations with important implications for breed improvement and conservation purposes. Nature Publishing Group UK 2022-02-14 /pmc/articles/PMC8844291/ /pubmed/35165296 http://dx.doi.org/10.1038/s41597-022-01129-4 Text en © Crown 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article.
spellingShingle Data Descriptor
Gheyas, Almas
Vallejo-Trujillo, Adriana
Kebede, Adebabay
Dessie, Tadelle
Hanotte, Olivier
Smith, Jacqueline
Whole genome sequences of 234 indigenous African chickens from Ethiopia
title Whole genome sequences of 234 indigenous African chickens from Ethiopia
title_full Whole genome sequences of 234 indigenous African chickens from Ethiopia
title_fullStr Whole genome sequences of 234 indigenous African chickens from Ethiopia
title_full_unstemmed Whole genome sequences of 234 indigenous African chickens from Ethiopia
title_short Whole genome sequences of 234 indigenous African chickens from Ethiopia
title_sort whole genome sequences of 234 indigenous african chickens from ethiopia
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844291/
https://www.ncbi.nlm.nih.gov/pubmed/35165296
http://dx.doi.org/10.1038/s41597-022-01129-4
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