# Dietary Energy Levels Impact on Skin Microbiota and Metabolites of Yaks

**Authors:** Pengcheng Zhao, Bingang Shi, Xuelan Zhou, Zhidong Zhao, Jiang Hu, Xiaolan Zhang

PMC · DOI: 10.3390/microorganisms14020457 · 2026-02-13

## TL;DR

This study shows that the diet of yaks affects their skin microbiome diversity and related metabolites, with low-energy diets promoting microbial diversity and stability.

## Contribution

The study reveals how dietary energy levels influence yak skin microbiota diversity and specific metabolite pathways, linking microbial genera to skin metabolites.

## Key findings

- Low-energy diets significantly increased skin microbiota alpha diversity in yaks compared to high-energy diets.
- 114 differentially expressed metabolites were identified, enriched in pathways like synaptic vesicle trafficking and glycerophospholipid metabolism.
- Psychrobacter correlated with choline and Corynebacterium with palmitic acid, suggesting functional links between microbiota and metabolites.

## Abstract

The study aims to investigate the skin microbiome composition of Yaks and the effects of different dietary nutrient levels on the skin microbiome diversity and metabolites. A total of 19 healthy Tianzhu White Yaks at two age stages (2.5 and 4.5 years old) were selected and fed either a high-energy diet (n = 9) or a low-energy diet (n = 10). After 90 days of feeding, skin microbiota and skin tissue metabolites were detected using 16S rRNA sequencing and LC-MS/MS untargeted metabolomics, respectively. The results showed: (1) the phyla Firmicutes, Actinobacteriota, Proteobacteria, and Bacteroidetes exhibited relatively high abundances in the skin of yaks, and the total abundance of these four phyla reached as high as 99.3%. Alpha diversity analysis indicated that the alpha diversity index of yak skin microbiota was significantly higher (p < 0.05) in the low-energy nutritional level group than in the high-energy nutritional level group in yaks of both 2.5 and 4.5 years of age. Principal coordinate analysis (PCoA) revealed a distinct separation of all skin microbiota samples into two clusters: the high-energy (H) and low-energy (L) groups. (2) A total of 114 differentially expressed metabolites were screened across both groups, significantly enriched (p < 0.05) in pathways including synaptic vesicle trafficking and glycerophospholipid metabolism; (3) Correlation analysis between microbiota and metabolites revealed significant positive correlations (p < 0.01) between Psychrobacter and choline, and between Corynebacterium and palmitic acid. In conclusion, A low-energy diet increases skin microbial diversity, which is beneficial for maintaining community stability; In contrast, a high-energy diet enriches bacterial genera such as Corynebacterium and Psychrobacter, enhancing functions related to antibacterial activity and barrier protection.

## Linked entities

- **Species:** Bos grunniens (taxon 30521)

## Full-text entities

- **Diseases:** cancer (MESH:D009369), injury to (MESH:D014947), inflammation (MESH:D007249), hypoxia (MESH:D000860), cocaine addiction (MESH:D019970)
- **Chemicals:** lactic acid (MESH:D019344), xylazine hydrochloride (MESH:D014991), Choline (MESH:D002794), nitrogen (MESH:D009584), acetonitrile (MESH:C032159), Corticosterone (MESH:D003345), formic acid (MESH:C030544), salt (MESH:D012492), Glycerophospholipid (MESH:D020404), branched-chain amino acids (MESH:D000597), isopropanol (MESH:D019840), cholesterol (MESH:D002784), ceramide (MESH:D002518), water (MESH:D014867), arachidonic acid (MESH:D016718), amino acid (MESH:D000596), amines (MESH:D000588), starch (MESH:D013213), carbohydrate (MESH:D002241), fatty acid (MESH:D005227), phosphatidylcholine (MESH:D010713), 4-Trimethylammoniobutanoic acid (-), Carnitine (MESH:D002331), SCFA (MESH:D005232), palmitic acid (MESH:D019308), sucrose (MESH:D013395), lipid (MESH:D008055), agarose (MESH:D012685)
- **Species:** Brachybacterium (genus) [taxon 43668], Eubacterium coprostanoligenes (species) [taxon 290054], Glycine max (soybean, species) [taxon 3847], Chryseobacterium (genus) [taxon 59732], Actinomycetota (actinobacteria, phylum) [taxon 201174], Psychrobacter (genus) [taxon 497], Pseudomonadota (proteobacteria, phylum) [taxon 1224], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Homo sapiens (human, species) [taxon 9606], Corynebacterium (genus) [taxon 1716], Bacteroidota (Bacteroides-Cytophaga-Flexibacter group, phylum) [taxon 976], Bacteroidia (class) [taxon 200643], Bacillota (clostridial firmicutes, phylum) [taxon 1239], Bos grunniens (domestic yak, species) [taxon 30521], Bos taurus (bovine, species) [taxon 9913], Equus caballus (domestic horse, species) [taxon 9796]
- **Mutations:** V2, R2, R2Y, Q2

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12943538/full.md

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Source: https://tomesphere.com/paper/PMC12943538