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A genome-wide association study for eumelanin pigmentation in chicken plumage using a computer vision approach.

Seonyeong HeoSung Hyun ChoPhuong Thanh Ngoc DinhJongho ParkDae-Hyeok JinJihye ChaYoung-Kuk KimYeong Jun KohSeung Hwan LeeJun-Heon Lee
Published in: Animal genetics (2023)
Chicken plumage colouration is an important trait related to productivity in poultry industry. Therefore, the genetic basis for pigmentation in chicken plumage is an area of great interest. However, the colour trait is generally regarded as a qualitative trait and representing colour variations is difficult. In this study, we developed a method to quantify and classify colour using an F 2 population crossed from two pure lines: White Leghorn and the Korean indigenous breed Yeonsan Ogye. Using red, green, and blue values in the cropped body region, we identified significant genomic regions on chromosomes 33:3 160 480-7 447 197 and Z:78 748 287-79 173 793. Furthermore, we identified two potential candidate genes (PMEL and MTAP) that might have significant effects on melanin-based plumage pigmentation. Our study presents a new phenotyping method using a computer vision approach and provides new insights into the genetic basis of melanin-based feather colouration in chickens.
Keyphrases
  • genome wide
  • genome wide association study
  • copy number
  • dna methylation
  • climate change
  • deep learning
  • gene expression
  • machine learning
  • risk assessment
  • heat stress