Diversity of the fecal microbiota in Chinese ponies.
Abstract: The gut microbiomes of equine are plentiful and intricate, which plays an important part in the growth. However, there is a relative lack of information on the microbial diversity in the pony's gut. Unassigned: In this article, 118 fecal samples from DeBa pony, NiQi pony and GuZh horse were studied by 16S rRNA amplicon sequencing. Unassigned: Diversity analysis was used to determine the difference of gut microbiota composition among different breeds. Alpha diversity analysis showed that the gut microbiota of NiQi ponies were abundant and various. Beta diversity analysis showed that the microorganisms constitution of DeBa ponies was more similar to that of NiQi ponies. LDA Effect Size (LEfSe) analysis result that the microorganism biomarkers for NiQi pony at the genus level were Phascolarctobacterium, Paludibacter, and Fibrobacter; the bacterial biomarker for DeBa pony was Streptococcus and Prevotella; and the bacterial biomarkers for GuZh horses was Treponema, Treponema Mogibacterium, Adlercreutzia, and Blautia. The correlation analysis between genera with >1% abundance and horse height found that Streptococcus ( < 0.01), Treponema ( < 0.01), Coprococcus ( < 0.01), Prevotella ( < 0.01), Phascolarctobacterium ( < 0.01), and Mogibacterium ( < 0.01) were significantly associated with horses' height. The functional prediction results indicated that DeBa pony have a microbiota functional more similar to NiQi pony. Unassigned: For the first time, our results announce the species composition and structure of the gut microbiota in Chinese ponies. At the same time, our results can provide theoretical reference for further understanding the healthy breeding, feeding management and disease prevention of horses.
Copyright © 2023 Lv, Zhang, Zhang, Meng, Pu, Liu, Liu, Ma, Liu and Jiang.
Publication Date: 2023-01-26 PubMed ID: 36777669PubMed Central: PMC9909481DOI: 10.3389/fvets.2023.1102186Google Scholar: Lookup
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Summary
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The research paper focuses on the exploration of the diversity of gut microbiomes in Chinese ponies, identifying differences in microbiota among distinct breeds and finding correlations between genera abundance and horse height.
Study Overview
- The study involves the analysis of 118 fecal samples from three types of Chinese ponies: DeBa, NiQi, and GuZh.
- The 16S rRNA amplicon sequencing method is used to examine the samples.
- The researchers aim to determine differences in gut microbiota composition among different pony breeds and the potential correlation to horse height.
Results and Findings
- Through Alpha diversity analysis, NiQi ponies were found to have the most abundant and diverse gut microbiota.
- Beta diversity analysis identified more similarity between the gut microorganisms of DeBa and NiQi ponies.
- The microbial biomarkers unique to NiQi, DeBa, and GuZh ponies were identified through LEfSe analysis. For NiQi, these were Phascolarctobacterium, Paludibacter, and Fibrobacter; for DeBa, Streptococcus and Prevotella; and for GuZh, Treponema, Mogibacterium, Adlercreutzia, and Blautia.
- Using association analysis, six bacterial genera (Streptococcus, Treponema, Coprococcus, Prevotella, Phascolarctobacterium, and Mogibacterium) were found to be significantly associated with horse height.
- Functional analysis showed DeBa ponies to have a gut microbiota functioning more similarly to NiQi ponies.
Conclusions and Implications
- This research is the first known study providing detailed identification of gut microbiota in Chinese ponies, including species composition and structural information.
- The insights generated can be used as a reference for better understanding of healthy breeding, feeding management, and disease prevention in horses, thus improving overall horse care practices.
Cite This Article
APA
Lv S, Zhang Y, Zhang Z, Meng S, Pu Y, Liu X, Liu L, Ma Y, Liu W, Jiang L.
(2023).
Diversity of the fecal microbiota in Chinese ponies.
Front Vet Sci, 10, 1102186.
https://doi.org/10.3389/fvets.2023.1102186 Publication
Researcher Affiliations
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Centre d'Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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