Identification of candidate genes associated with feather follicle traits in chickens

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ID: 339188
2026
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Abstract
The size and density of feather follicles are important appearance quality traits for slaughtered broilers. In China, consumers generally prefer broilers with smooth skin and fine follicles, yet the genetic and molecular basis of these traits remains poorly understood. In this study, we characterized feather and feather follicle traits in 589 yellow-feathered chickens at 100 days of age and investigated candidate genes and SNPs associated with feather follicle size. Skin microscopy combined with image analysis provided a practical approach for quantifying follicle size. The size of feather follicles, the weight, length, and diameter of feathers were significantly higher in males than in females (P < 0.05), indicating clear sexual dimorphism. Feather follicle traits also showed greater variation than feather traits, which may limit the efficiency of direct selection. Correlation analysis showed a higher genetic association between dorsal feather length and follicle size of dorsopelvic tract, suggesting the potential for indirect selection of feather follicle size. RNA sequencing of large and small feather follicle tissues identified 1,273 differentially expressed genes. These differentially expressed genes were primarily enriched in the Wnt, MAPK, calcium, and TGF-β signaling pathways. Further analysis identified several HOX family genes, including HOXC10, HOXD11, HOXB3 and HOXD12, which may play crucial roles in feather follicle development. The tissue expression profile indicates that the HOXB3 gene is highly expressed in skin tissue. Polymorphism analysis of HOXB3 identified 3 SNPs significantly associated with feather follicle size (P < 0.05). These findings provide a practical method for follicle-size measurement and identify candidate pathways, genes, and SNP markers for the genetic improvement of feather follicle traits in chickens.
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openalex_W7225416347 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal italian journal of animal science
Year 2026
DOI
10.1093/jas/skag291
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