| 作者 |
Min YAO1,2, Jinrong SHEN2, Ren OU2, She WANG2, Mingzong TANG2, Fei GONG2, Qingmeng LONG2*, Xiao ZOU1* |
| 摘要 |
[Objectives] This study was conducted to investigate the effects of a compound Chinese herbal medicine on pig gut microbiota and metabolic ecology. [Methods] Through 16S rRNA high-throughput sequencing and metabolomics, the effects of administing a 5% compound mixture of Pseudostellaria heterophylla, Uncaria rhynchophylla and Lonicera japonica for 60 d on the intestinal microbiota and metabolites of three-way crossbred pigs were evaluated. [Results] The Chinese herbal medicine (CHM) group exhibited improved α-diversity indices (Ace = 541.22, Shannon = 3.36, Simpson = 0.10), though not significant (P>0.05), compared with the CK group (Ace = 511.46, Shannon = 2.75, Simpson = 0.12). β-diversity analysis revealed a clear separation between the groups. At the phylum level, the overall differences in gut microbiota composition were minor. However, the CHM group showed a substantial increase in Bacteroidota in the cecum and a significant rise in Myxobacteria, which have anti-inflammatory and anti-obesity potential, suggesting a positive effect on intestinal health. Meanwhile, the CHM group exhibited 67 unique OTUs, higher than 27 in the CK group, primarily concentrated in the ileum and cecum. Additionally, metabolomic analysis revealed 210 unique metabolites in the CHM group, surpassing 77 in the CK group. A total of 653 metabolites showed significant changes, involving 11 metabolic pathways. Correlation analysis revealed that metabolites such as PC, PE, LysoPC, LysoPE and dehydrocarpaine were closely associated with microbiota. In the CHM group, key metabolites exhibited complex interactions with gut microbiota. Dehydrocarpaine showed positive correlations with probiotics such as Lactobacillus and Bifidobacterium. [Conclusions] These results demonstrated that CHM potentially enhanced pig gut health by improving microbial diversity and regulating metabolic networks, providing a scientific basis for further optimization of swine farming strategies. |
