中国农业科学 ›› 2026, Vol. 59 ›› Issue (6): 1348-1360.doi: 10.3864/j.issn.0578-1752.2026.06.015

• 畜牧·兽医 • 上一篇    

全基因组重测序揭示静原鸡羽色的遗传机制

杨丽娟(), 陈丝雨, 赵薇, 朱玲, 郭磊, 马丽娜, 马瑞敏, 张娟()   

  1. 宁夏大学动物科技学院,银川 750021
  • 收稿日期:2025-09-30 接受日期:2026-01-14 出版日期:2026-03-16 发布日期:2026-03-24
  • 通信作者:
    张娟,E-mail:
  • 联系方式: 杨丽娟,E-mail:yangdfq@163.com。
  • 基金资助:
    宁夏禽蛋产业首席专家团队项目、宁夏青年拔尖人才项目

Whole-Genome Resequencing Reveals the Genetic Mechanisms Underlying Feather Coloration in Jingyuan Chicken

YANG LiJuan(), CHEN SiYu, ZHAO Wei, ZHU Ling, GUO Lei, MA LiNa, MA RuiMin, ZHANG Juan()   

  1. College of Animal Science and Technology, Ningxia University, Yinchuan 750021
  • Received:2025-09-30 Accepted:2026-01-14 Published:2026-03-16 Online:2026-03-24

摘要:

【背景】羽毛颜色是家禽品种的重要外貌特征及经济性状,其形成机制解析对地方鸡种种质资源保护和遗传改良具有重要意义。静原鸡作为我国特色地方鸡种,其丰富的羽色多样性为解析羽色形成的遗传机制提供了理想的研究材料,系统挖掘其遗传基础已成为提升种业竞争力的核心环节。【目的】利用全基因组重测序技术筛选与静原鸡黑羽、麻羽及白羽性状相关的遗传标记和候选基因,为解析其羽色形成的分子机制及分子育种提供理论依据。【方法】选取150只来自静原鸡国家保种场的126日龄不同羽色(黑羽、麻羽、白羽)的静原鸡母鸡为研究对象,通过翅下静脉采集血液样本,提取高质量基因组DNA进行全基因组重测序,采用多策略交叉验证的分析方法,分别运用基于滑动窗口的遗传分化系数(Fst)计算、核苷酸多样性比值(θπ ratio)分析、跨群体似然比检验(XP-CLR)和全基因组关联分析(GWAS)4种方法,系统筛选与黑羽、白羽和麻羽相关的候选基因,通过维恩图取交集,获得不同羽色各自的关键显著候选基因。进一步开展跨群体比较分析,通过对静原鸡不同羽色种群之间进行Fst分析,筛选与羽色相关的显著选择信号区域,利用基因注释和维恩图交集鉴定跨羽色共享的核心候选基因。最后通过GO功能注释和KEGG通路富集分析,系统解析候选基因的生物学功能及调控网络。【结果】研究系统鉴定了多个与静原鸡羽色形成相关的关键基因,鉴定了黑羽性状与 LMO3、RERGL RTTN显著相关;麻羽性状关联到 CDH19 SLC25A1;而白羽性状则由 IKZF1主导。跨羽色比较分析进一步识别出 NLRC5、POT1、IPP、DCUN1D4、XRCC4、PALM2AKAP2、UGCG、GNG10、PRIM2、SSBP2、ZBTB34、DHFR、SLC46A2、SLF1SHOC1 15个核心候选基因,这表明静原鸡的羽色变异受多基因调控,功能富集分析显示这些基因显著参与G蛋白偶联受体信号通路、跨膜受体信号转导等重要生物学过程,构成了复杂的羽色调控网络。【结论】通过多组学整合分析,筛选得到与静原鸡羽色形成相关的重要候选基因,并初步揭示了其参与的潜在调控通路。研究结果不仅为静原鸡羽色性状的遗传解析提供了全新的分子线索与技术支撑,填补了地方鸡种羽色调控机制研究中的部分空白,也为地方优质鸡种遗传资源的精准保护、定向选育及创新利用提供了科学依据与实践指导,同时为家禽色素形成的分子通路、遗传网络调控机制等前沿领域研究积累了关键数据,进一步丰富了畜禽功能性性状遗传研究的理论体系。

关键词: 静原鸡, 羽毛颜色, 基因组, 全基因组关联分析, 选择清除分析

Abstract:

【Background】Feather color is an important morphological and economic trait in poultry breeds, and understanding its genetic mechanisms is of great significance for the conservation and genetic improvement of local chicken genetic resources. The Jingyuan chicken, a distinctive local breed in China, exhibits rich diversity in feather color, providing an ideal model for studying the genetic basis of plumage coloration. Systematically exploring this genetic foundation is crucial for enhancing breeding competitiveness. 【Objective】This study aimed to utilize whole-genome resequencing to identify genetic markers and candidate genes associated with black, hemp, and white feather traits in Jingyuan chickens, thereby providing a theoretical basis for elucidating the molecular mechanisms underlying feather color formation and for molecular breeding. 【Method】A total of 150 healthy 126-day-old Jingyuan hens with different feather colors (black, hemp, and white) were selected from the Jingyuan Chicken National Conservation Farm. Blood samples were collected via wing vein puncture for high-quality genomic DNA extraction, followed by whole-genome resequencing. A multi-strategy cross-validation approach was employed: four independent methods, including genetic differentiation coefficient (Fst) calculation based on sliding windows, nucleotide diversity ratio (θπ ratio) analysis, cross-population composite likelihood ratio (XP-CLR) test, and genome-wide association study (GWAS), were used to systematically screen candidate genes associated with black, hemp, and white feather colors, respectively. Venn diagrams were used to identify key significant candidate genes specific to each feather color by taking the intersection of genes identified by these methods. Furthermore, cross-population comparative analysis was conducted using Fst analysis between different feather color populations to identify significant selection signal regions associated with feather color. Gene annotation and Venn diagram intersections were used to identify core candidate genes shared across feather colors. Finally, GO functional annotation and KEGG pathway enrichment analysis were performed to systematically analyze the biological functions and regulatory networks of the identified candidate genes. 【Result】The study systematically identified several key genes associated with feather color formation in Jingyuan chickens. Black feather traits were significantly associated with the LMO3, RERGL, and RTTN, and hemp feather traits were linked to the CDH19 and SLC25A1, while white feather traits were primarily governed by the IKZF1. Cross-feather color comparative analysis further identified 15 core candidate genes: NLRC5, POT1, IPP, DCUN1D4, XRCC4, PALM2AKAP2, UGCG, GNG10, PRIM2, SSBP2, ZBTB34, DHFR, SLC46A2, SLF1, and SHOC1. This indicated that feather color variation in Jingyuan chickens was regulated by multiple genes. Functional enrichment analysis revealed that these genes were significantly involved in important biological processes, such as the G protein-coupled receptor signaling pathway and transmembrane receptor signal transduction, forming a complex regulatory network for feather color. 【Conclusion】Through integrated multi-omics analysis, this study identified important candidate genes associated with feather color formation in Jingyuan chickens and preliminarily revealed their potential regulatory pathways. The findings not only provided novel molecular clues and technical support for the genetic dissection of feather color traits in Jingyuan chickens, filling some gaps in the research on feather color regulation mechanisms in local chicken breeds, but also offer scientific basis and practical guidance for the precise conservation, targeted breeding, and innovative utilization of genetic resources from local high-quality chicken breeds. Furthermore, this study accumulated key data for research in frontier areas, such as the molecular pathways and genetic regulatory networks of feather pigmentation in poultry, thereby enriching the theoretical system of genetic research on functional traits in livestock and poultry.

Key words: Jingyuan chicken, feather color, genome, GWAS, selective sweep analysis