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Identification of selection signatures in Capra hircus and Capra aegagrus in Iran.

Sadegh TaheriNaghmeh SaediSaeed ZerehdaranAli Javadmanesh
Published in: Animal science journal = Nihon chikusan Gakkaiho (2023)
Identification of selection signatures may provide a better understanding of domestication process and candidate genes contributing to this process. In this study, two populations of domestic and wild goats from Iran were analyzed to identify selection signatures. RSB, iHS, and XP-EHH statistics were used in order to identify robust selection signatures in the goat genome. Genotype data of domestic and wild goats from the NextGen project was used. The data was related to 18 Capra aegagrus (wild goat) and 20 Capra hircus (domestic goat) from Iran. The iHS method indicated 675 and 441 selection signatures in C. aegagrus and C. hircus, respectively. RSB and XP-EHH methods showed about 370 and 447 selection signatures in C. aegagrus and C. hircus, respectively. These selection signatures were mainly associated with milk production, fleece trait, mammary epithelial cells, reproduction, and immune system.
Keyphrases
  • genome wide
  • dna methylation
  • electronic health record
  • gene expression
  • big data
  • machine learning
  • genetic diversity
  • artificial intelligence
  • deep learning
  • bioinformatics analysis