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February 22, 2026Journal of Dairy ScienceOpen Access

Multi-omics integration deciphers the metabolic–genetic regulatory network underlying milk composition in dairy goats

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Authors

ZZZhen ZhangNorthwest A&F UniversityMNMengke NiNorthwest A&F UniversityQHQiushi HuangYangtze University

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Implication

Metabolomic GWAS identifies candidate genes for milk composition traits in dairy goats, suggesting new paths for molecular breeding.

Key Points

  • This research aims to elucidate the metabolic and genetic regulatory mechanisms influencing milk composition in dairy goats.
  • Extreme phenotype grouping was utilized to categorize goats based on milk traits.
  • Multi-omics analysis combined metabolic and genetic approaches to investigate milk components.
  • Differential metabolite analysis identified numerous altered metabolites associated with milk fat, SNF, protein, and lactose.
  • Metabolomic GWAS linked metabolites to candidate genes relevant to milk composition.
  • Identified 795 milk metabolites in total, with significant alterations noted across key components.
  • Highlighted 57, 94, 50, and 58 altered metabolites in milk fat, SNF, protein, and lactose, respectively.
  • Annotated 330 candidate genes for milk fat metabolites, including JAK2 and LIPC.
  • Found heritable signals for 33 SNF metabolites linked to 177 candidate genes like DGAT2 and TGFB1.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/699a534bfdaf4e3c1268ed18https://doi.org/10.3168/jds.2025-27381
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