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Microbiome-Metabolomics Analysis of the Impacts of Balantidium Coli Infection in Rhesus Monkeys (Macaca mulatta)
Heling Li1,2, Long Zhang3, Faliang Zong2
1State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.
Abstract:
Balantidium coli (B. coli) is a prevalent intestinal parasite in monkeys, significantly impacting their health. Previous studies have demonstrated that B. coli infection in pigs leads to severe dysregulation of the gut microbiota. However, there has been no report on the alterations in fecal microbiota and metabolites in rhesus monkeys infected with B. coli. In order to investigate the differences in gut microbiota and metabolites between healthy rhesus monkeys and those infected with B. coli, we conducted gene sequencing and gas chromatography-mass spectrometry (GC-MS) analysis of fecal samples from 6 healthy rhesus monkeys and 5 rhesus monkeys infected with B. coli. The results revealed significant differences in the composition of gut microbiota between rhesus monkeys infected with B. coli and healthy ones (p < 0.01). The abundance of Campylobacterota was significantly increased (p < 0.01), while the abundance of Bacteroidota was significantly decreased (p < 0.05). Prevotella 9 was the dominant genus in both groups, showing a significant increase in the infected group (p < 0.05). At the species level, Brachyspira hampsonii was significantly increased in the infected group (p < 0.01), whereas Prevotella copri, which was the dominant species in both groups, showed a significant decrease in the infected group (p < 0.05). Metabolomics studies indicated a significant decrease in levels of metabolites such as dihydrolipoamide, 9(Z),11(E)-Conjugated Linoleic Acid, and 8,9-DiHETrE within fecal samples from rhesus monkeys infected with B. coli (p < 0.05). Correlation analysis of the microbiome and metabolome suggested a close relationship between differential microbiota and metabolites. In conclusion, this study suggests that the colonization of B. coli is associated with dysbiosis of the monkey gut microbiota. This study provides a new insight that using intestinal microbes instead of antibiotics to treat balantidiosis can also serve as a reference for further research on the relationship between gut microbiota and metabolomics in host infections by other protozoa.
Insights
Balantidium coli (B. coli) infection in rhesus monkeys causes significant gut microbiota dysbiosis, altering bacterial populations and decreasing key metabolites. This research suggests microbial interventions as a potential treatment for balantidiosis.
Area of Science:
- Microbiology
- Parasitology
- Metabolomics
Background:
- Balantidium coli (B. coli) is a common intestinal parasite in monkeys, known to disrupt gut microbiota in pigs.
- Limited research exists on B. coli's impact on rhesus monkey gut microbiota and metabolites.
Purpose of the Study:
- To investigate alterations in fecal microbiota and metabolites in rhesus monkeys infected with B. coli.
- To compare gut microbial composition and metabolic profiles between infected and healthy rhesus monkeys.
Main Methods:
- Fecal samples from infected and healthy rhesus monkeys analyzed using gene sequencing for microbiota and gas chromatography-mass spectrometry (GC-MS) for metabolites.
- Statistical analyses (p < 0.05) were employed to identify significant differences.
Main Results:
- Significant differences in gut microbiota composition observed between infected and healthy monkeys (p < 0.01).
- Increased abundance of Campylobacterota (p < 0.01) and Prevotella 9 (p < 0.05); decreased Bacteroidota (p < 0.05) and Prevotella copri (p < 0.05).
- Reduced levels of dihydrolipoamide, 9(Z),11(E)-Conjugated Linoleic Acid, and 8,9-DiHETrE in infected monkeys (p < 0.05).
Conclusions:
- B. coli colonization is linked to gut microbiota dysbiosis in rhesus monkeys.
- Findings suggest potential for microbial therapies instead of antibiotics for balantidiosis.
- Provides a foundation for studying host-protozoa interactions via microbiome-metabolome analysis.
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