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Biology2026; 15(7); 563; doi: 10.3390/biology15070563

Biomarkers of Adipose Color: A Multi-Omics Analysis Unravels the Molecular Landscape of White and Yellow Fat in Kazakh Horse.

Abstract: Fat color is one of the most important economic traits influencing consumer preference and the market value of meat products. To explore the molecular mechanisms underlying abdominal adipose tissue color differentiation in the Kazakh horse, this study employed a multi-omics strategy, integrating targeted metabolomics (fatty acid and amino acid profiling), untargeted metabolomics, and transcriptomic analyses. Two types of adipose tissue, white adipose tissue (WAT, = 8) and yellow adipose tissue (YAT, = 8), were selected for systematic comparative analysis. Fatty acid composition analysis revealed no significant differences between WAT and YAT in total saturated and unsaturated fatty acid content ( > 0.05). However, the levels of C15:0 and C17:1 were significantly higher in YAT than in WAT ( < 0.05), with C21:0 showing a very significant increase ( < 0.01). In contrast, the level of C22:1n9 was significantly lower in YAT ( < 0.05). Amino acid analysis indicated that the aspartic acid content in WAT was approximately 3.3 times higher than in YAT ( < 0.01). Through analysis of transcriptomic and metabolomic data, a total of 378 differentially expressed genes (DEGs) and 51 differentially expressed metabolites (DEMs) were identified. Further integrative analysis of metabolomic and transcriptomic data identified , , and genes, along with metabolites such as stearate and myo-inositol, as potential key regulatory factors and biomarkers associated with fat color differentiation. This study provides a theoretical foundation for understanding the molecular mechanisms governing adipose tissue color variation in horses and their implications for meat quality.
Publication Date: 2026-04-01 PubMed ID: 41972566DOI: 10.3390/biology15070563Google Scholar: Lookup
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Summary

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Overview

  • This study explores the molecular differences between white and yellow abdominal fat tissue in Kazakh horses using a combination of metabolomics and transcriptomics approaches.
  • The research aims to identify key biomarkers and genes that influence fat color, which affects meat quality and market value.

Background and Significance

  • Fat color is an important economic trait because it affects consumer preference and the value of meat products in the market.
  • Kazakh horses display two distinct types of abdominal fat: white adipose tissue (WAT) and yellow adipose tissue (YAT).
  • Understanding the molecular basis of fat color variation can help improve meat quality through selective breeding or dietary interventions.
  • The study utilizes a multi-omics approach combining metabolomics (both targeted and untargeted) and transcriptomics to gain comprehensive insight.

Methodology

  • Samples: The study compares 8 samples of white adipose tissue (WAT) and 8 samples of yellow adipose tissue (YAT) from Kazakh horses.
  • Metabolomics:
    • Targeted metabolomics focused on profiling fatty acids and amino acids in the adipose tissues.
    • Untargeted metabolomics was used to broadly identify other metabolites present in the tissue samples without prior selection.
  • Transcriptomics:
    • Gene expression analysis was performed to identify differentially expressed genes (DEGs) contributing to fat color differences.
  • Data Integration:
    • Integration of metabolomic and transcriptomic data was conducted to reveal potential regulatory networks and biomarkers linked to adipose color.

Main Findings

  • Fatty Acid Composition:
    • Total saturated and unsaturated fatty acid content did not significantly differ between WAT and YAT (p > 0.05).
    • Specific fatty acids showed significant differences:
      • C15:0 (pentadecanoic acid) and C17:1 (heptadecenoic acid) were significantly higher in yellow adipose tissue (YAT) (p < 0.05).
      • C21:0 (heneicosanoic acid) exhibited a very significant increase in YAT (p < 0.01).
      • C22:1n9 (erucic acid) was significantly lower in YAT compared to WAT (p < 0.05).
  • Amino Acid Composition:
    • Aspartic acid content was approximately 3.3 times higher in WAT compared to YAT (p < 0.01), suggesting potential differences in amino acid metabolism related to fat color.
  • Differential Expression Analysis:
    • 378 genes were found to be differentially expressed between WAT and YAT.
    • 51 metabolites showed differential abundance between the two fat types.
  • Key Molecular Players:
    • Integrative analysis highlighted certain genes (exact gene names were not provided in the abstract) potentially involved in regulating fat color differentiation.
    • Important metabolites identified as potential biomarkers include stearate (a common saturated fatty acid) and myo-inositol (a sugar alcohol involved in cell signaling and metabolism).

Implications and Conclusions

  • The study provides important molecular evidence explaining the differences between white and yellow adipose tissue in Kazakh horses.
  • Key fatty acids and amino acids, along with specific genes and metabolites, could serve as biomarkers to distinguish fat color.
  • Understanding fat color at the molecular level aids in improving meat quality and could influence breeding or nutritional strategies in horse production.
  • This research lays a theoretical foundation for future studies on fat tissue color mechanisms and contributes valuable multi-omics data on equine adipose tissue.

Cite This Article

APA
Chang X, Shi X, Luo P, Yao X, Meng J, Wang J, Ren W, Li L, Zeng Y. (2026). Biomarkers of Adipose Color: A Multi-Omics Analysis Unravels the Molecular Landscape of White and Yellow Fat in Kazakh Horse. Biology (Basel), 15(7), 563. https://doi.org/10.3390/biology15070563

Publication

ISSN: 2079-7737
NlmUniqueID: 101587988
Country: Switzerland
Language: English
Volume: 15
Issue: 7
PII: 563

Researcher Affiliations

Chang, Xiaokang
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Shi, Xiangyun
  • STC (XinJiang) Company Limited, Urumqi 830000, China.
Luo, Penghui
  • Animal Husbandry Station of Xinjiang Uygur Autonomous Regio, Urumqi 830004, China.
Yao, Xinkui
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.
Meng, Jun
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.
Wang, Jianwen
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.
Ren, Wanlu
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.
Li, Linling
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Zeng, Yaqi
  • College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.

Citations

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