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A genome-wide association study for eumelanin pigmentation in chicken plumage using a computer vision approach
Seonyeong Heo1, Sunghyun Cho2, Phuong Thanh Ngoc Dinh1
1Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea.
Animal Genetics
|March 1, 2023
Summary
Researchers developed a new computer vision method to quantify chicken feather color. This approach identified key genomic regions and candidate genes (PMEL and MTAP) influencing melanin-based plumage pigmentation.
Area of Science:
- Animal Genetics
- Poultry Science
- Bioinformatics
Background:
- Chicken plumage coloration is vital for the poultry industry, yet its genetic basis is complex.
- Traditional methods struggle to quantify qualitative color traits, hindering genetic analysis.
Purpose of the Study:
- To develop a novel phenotyping method for quantifying chicken plumage color.
- To identify genomic regions and candidate genes associated with melanin-based feather pigmentation.
Main Methods:
- Utilized an F2 population derived from White Leghorn and Yeonsan Ogye breeds.
- Employed a computer vision approach analyzing red, green, and blue values from cropped body regions.
- Performed genome-wide association analysis to identify significant genomic regions.
Main Results:
- Identified significant genomic regions on chromosomes 33 and Z.
- Discovered two candidate genes, PMEL and MTAP, potentially influencing melanin pigmentation.
- Demonstrated the efficacy of the new computer vision phenotyping method.
Conclusions:
- The study provides a robust method for quantifying chicken feather color.
- New insights into the genetic architecture of melanin-based plumage coloration were gained.
- Identified PMEL and MTAP as potential key genes for feather pigmentation.
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