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.

Highlights

  • Background & SummaryPoultry farming constitutes an important economic activity across Africa, providing a livelihood for millions of people

  • Domestic chickens were originally introduced into Ethiopia from Asia from around 3000 years ago[3,4]

  • Chicken populations have been dispersed throughout the country and, over time, have adapted to thrive in its diverse agro-ecologies

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Summary

Background & Summary

Poultry farming constitutes an important economic activity across Africa, providing a livelihood for millions of people. Chicken populations have been dispersed throughout the country and, over time, have adapted to thrive in its diverse agro-ecologies These birds, considered as indigenous, show greater resistance to various local poultry diseases and parasites compared to exotic and commercially improved chickens. Most of the reported variants are already known (only 14% are novel), the associated VCF file (submitted to European Variant Archive) shows genotype data for individual samples; it offers an excellent resource for a variety of population genetics analyses Some of these sequences and variant data have been used in a recent study to elucidate the genome-environmental adaptation in Ethiopian chickens[8]. These data are a rich addition to global chicken genome sequence databases and can be used in conjunction with sequencing data from other countries/ regions around the globe for studying demographic and domestication histories in chicken

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