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Whole genome sequences of 234 indigenous African chickens from Ethiopia

Gheyas, Almas; Vallejo-Trujillo, Adriana; Kebede, Adebabay; Dessie, Tadelle; Hanotte, Olivier; Smith, Jacqueline

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Authors

Almas Gheyas

Adriana Vallejo-Trujillo

Adebabay Kebede

Tadelle Dessie

OLIVIER HANOTTE OLIVIER.HANOTTE@NOTTINGHAM.AC.UK
Director of Frozen Ark Project & Professor of Genetics & Conservation

Jacqueline Smith



Abstract

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.

Citation

Gheyas, A., Vallejo-Trujillo, A., Kebede, A., Dessie, T., Hanotte, O., & Smith, J. (2022). Whole genome sequences of 234 indigenous African chickens from Ethiopia. Scientific Data, 9, Article 53. https://doi.org/10.1038/s41597-022-01129-4

Journal Article Type Article
Acceptance Date Dec 15, 2021
Online Publication Date Feb 14, 2022
Publication Date Feb 14, 2022
Deposit Date Feb 19, 2022
Publicly Available Date Feb 21, 2022
Journal Scientific data
Electronic ISSN 2052-4463
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 9
Article Number 53
DOI https://doi.org/10.1038/s41597-022-01129-4
Public URL https://nottingham-repository.worktribe.com/output/7474443
Publisher URL https://www.nature.com/articles/s41597-022-01129-4

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