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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Veröffentlicht in:Scientific data 2022-02, Vol.9 (1), p.53-53, Article 53
Hauptverfasser: Gheyas, Almas, Vallejo-Trujillo, Adriana, Kebede, Adebabay, Dessie, Tadelle, Hanotte, Olivier, Smith, Jacqueline
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Sprache:eng
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Zusammenfassung: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. Measurement(s) genome Technology Type(s) DNA sequencing Factor Type(s) animal population Sample Characteristic - Organism Gallus gallus Sample Characteristic - Location Ethiopia Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.16999891
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-022-01129-4