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利用计算机视觉方法对鸡羽毛中的真黑色素沉着进行全基因组关联研究。

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

机构信息

Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea.

Research and Development Center, Insilicogen Inc., Yongin, South Korea.

出版信息

Anim Genet. 2023 Jun;54(3):355-362. doi: 10.1111/age.13303. Epub 2023 Mar 1.

Abstract

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 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.

摘要

鸡的羽毛颜色是与家禽业生产力相关的重要特征。因此,鸡羽毛色素沉着的遗传基础是一个非常感兴趣的领域。然而,颜色特征通常被视为一种定性特征,代表颜色变化是困难的。在这项研究中,我们开发了一种使用从两个纯系(白来航鸡和韩国本土品种延山奥吉)杂交的 F 群体来量化和分类颜色的方法。通过裁剪身体区域的红、绿、蓝值,我们在第 33 号染色体上鉴定到 33:3160480-7447197 个和 Z 染色体上鉴定到 78:748287-79173793 个与颜色相关的显著基因组区域。此外,我们还鉴定到两个可能对黑色素羽色着色有显著影响的潜在候选基因(PMEL 和 MTAP)。我们的研究使用计算机视觉方法提出了一种新的表型分析方法,并为鸡黑色素羽色的遗传基础提供了新的见解。

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