Abstract: Gut microbiota exerts a pivotal function in host nutrient metabolism and maturation of the mucosal immunity. Analyzing the reciprocal interaction between horses and gut microbiota constitutes a crucial aspect of scientific feeding practices. This study aims to investigate the differences in gut microbiota among Hequ horses, Mongolian horses, and Thoroughbred horses, as well as between Thoroughbred horses at two age stages. Unassigned: Paired-end sequencing with a read length of 2×250 bp targeting the V3-V4 region of the 16S rRNA gene in fecal samples was carried out. Subsequently, differences in the diversity, composition, and metabolic pathways of the gut microbiota among the groups were analyzed. The results showed that: (1) Horse breeds were associated with variations in the gut microbiota. Microbial diversity, the proportion of commensal bacteria from Bacillota and Bacteroidota, and bacterial communities involved in dietary fiber metabolisms were significantly higher in the gut of the Hequ horses than in the gut of the Mongolian and Thoroughbred horses. The highest Bacillota to Bacteroidota (B/B) ratio and enrichment of bacterial communities involved in the metabolism of bile acids, lipids, and amino acids in the gut of the Mongolian horses resulted in significantly higher lipid metabolism and amino acid metabolism than in the other two breeds. The bacterial communities enriched in the gut of Thoroughbred horses were primarily involved in carbohydrate metabolism, but the level of energy metabolism was significantly lower than in Hequ horses. (2) The results also showed an association between age and gut microbiota of Thoroughbred horses. The alpha diversity, B/B ratio, and 83.33% of metabolic pathways did not differ significantly between younger and older Thoroughbred horses. However, there were significant differences between the two age groups in beta diversity, composition of glycolytic bacteria, metabolism of cofactors and vitamins, and energy metabolism of gut microbiota. Unassigned: Collectively, these results point to an association between the breed of horses or the age of Thoroughbred horses with variations in gut microbiota. The current findings will serve as a reference for improving feeding strategies for horses.
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
The research paper examines the differences in gut microbiota across different breeds of horses and different ages of Thoroughbred horses, finding variations linked to breed and age. The study provides important information for improving horse feeding strategies.
Research Methodology
The method involved a paired-end sequencing approach of 2×250 bp read length. It targeted the V3-V4 region of the 16S rRNA gene in fecal samples from Hequ horses, Mongolian horses, and Thoroughbred horses.
Researchers then examined the differences in diversity, composition and metabolic pathways of gut microbiota amongst the different breeds and age groups.
Key Findings
There was a strong link between horse breed and variations in gut microbiota.
The Hequ horses had significantly higher microbial diversity, larger proportions of commensal bacteria strains such as Bacillota and Bacteroidota, and higher numbers of bacterial communities involved in dietary fiber metabolisms.
Mongolian horses had a higher Bacillota to Bacteroidota (B/B) ratio, and a higher enrichment of bacterial communities involved in the metabolism of bile acids, lipids, and amino acids. This suggested significantly higher lipid metabolism and amino acid metabolism than the other two breeds.
The Thoroughbred horses’ gut microbiota primarily participated in carbohydrate metabolism, but showed significantly lower energy metabolism levels than Hequ horses.
Age was also shown to affect the gut microbiota of Thoroughbred horses. The alpha diversity, B/B ratio, and majority of metabolic pathways did not differ significantly between younger and older Thoroughbred horses.
However, notable differences were observed between the two age groups. These differences involved beta diversity, composition of glycolytic bacteria, metabolism of cofactors, vitamins, and energy metabolism of gut microbiota.
Conclusion
Overall, the research has found a clear correlation between the breed of horses and the variations in their gut microbiota. There were also differences noted between younger and older Thoroughbred horses.
The researchers believe these findings could be important for refining feeding strategies for horses.
Cite This Article
APA
Qin X, Xi L, Zhao L, Han J, Qu H, Xu Y, Weng W.
(2025).
Exploring the distinctive characteristics of gut microbiota across different horse breeds and ages using metataxonomics.
Front Cell Infect Microbiol, 15, 1590839.
https://doi.org/10.3389/fcimb.2025.1590839
College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Xi, Li
College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Zhao, Longfei
College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Han, Jincheng
College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Qu, Hongxia
College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Xu, Yajun
College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Weng, Weiping
Department of Research and Development, Inner Mongolia Huatian Pharmaceutical Co., Ltd, Chifeng, China.
MeSH Terms
Animals
Horses / microbiology
Gastrointestinal Microbiome
RNA, Ribosomal, 16S / genetics
Feces / microbiology
Bacteria / classification
Bacteria / genetics
Bacteria / isolation & purification
Bacteria / metabolism
Age Factors
Metagenomics / methods
DNA, Bacterial / genetics
Biodiversity
Sequence Analysis, DNA
Conflict of Interest Statement
Author WW was employed by Inner Mongolia Huatian Pharmaceutical Co., Ltd. The remaining 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.
Ahmad AA, Zhang J, Liang Z, Du M, Yang Y, Zheng J. Age-dependent variations in rumen bacterial community of Mongolian cattle from weaning to adulthood. BMC Microbiol. 2022;22:213.
Altermann E, Klaenhammer TR. PathwayVoyager: pathway mapping using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. BMC Genomics 2005;6:60.
Cho HY, Lee GY, Ali MS, Park SC. Effects of dietary intake of heat-inactivated Limosilactobacillus reuteri PSC102 on the growth performance, immune response, and gut microbiota in weaned piglets. Pak. Vet. J. 2024;44:819–825.
Chu HZ, Meng J, Tan XH, Yao XK, Wei RY, Liu J. Analysis and study on the growth of 8–11 months Ili colts of different male parents by supplementation. Xinjiang Agric. Sci. 2012;49:926–933.
Dong Z, Zhang D, Wu X, Yin Y, Wan D. Ferrous bisglycinate supplementation modulates intestinal antioxidant capacity via the AMPK/FOXO pathway and reconstitutes gut microbiota and bile acid profiles in pigs. J. Agric. Food. Chem. 2022;70:4942–4951.
Fei Y, Zhang S, Han S, Qiu B, Lu Y, Huang W. The role of Dihydroresveratrol in enhancing the synergistic effect of Ligilactobacillus salivarius Li01 and Resveratrol in Ameliorating colitis in mice. Res. (Wash D C) 2022;2022:9863845.
Gharechahi J, Vahidi MF, Ding XZ, Han JL, Salekdeh GH. Temporal changes in microbial communities attached to forages with different lignocellulosic compositions in cattle rumen. FEMS Microbiol. Ecol. 2020;96:fiaa069.
Han H, Zhang L, Shang Y, Wang M, Phillips CJC, Wang Y. Replacement of maize silage and soyabean meal with mulberry silage in the diet of Hu lambs on growth, gastrointestinal tissue morphology, rumen fermentation parameters and microbial diversity. Anim. (Basel) 2022;12:1406.
Jiang F, Gao H, Qin W, Song P, Wang H, Zhang J. Marked seasonal variation in structure and function of gut microbiota in forest and alpine Musk deer. Front. Microbiol. 2021;12.
Jin L, Huang Y, Yang S, Wu D, Li C, Deng W. Diet, habitat environment and lifestyle conversion affect the gut microbiomes of giant pandas. Sci. Total Environ. 2021;770:145316.
Jize Z, Zhuoga D, Xiaoqing Z, Na T, Jiacuo G, Cuicheng L. Different feeding strategies can affect growth performance and rumen functions in Gangba sheep as revealed by integrated transcriptome and microbiome analyses. Front. Microbiol. 2022;13.
Kmezik C, Krska D, Mazurkewich S, Larsbrink J. Characterization of a novel multidomain CE15-GH8 enzyme encoded by a polysaccharide utilization locus in the human gut bacterium Bacteroides eggerthii. Sci. Rep. 2021;11:17662.
Kobayashi R, Nagaoka K, Nishimura N, Koike S, Takahashi E, Niimi K. Comparison of the fecal microbiota of two monogastric herbivorous and five omnivorous mammals. Anim. Sci. J. 2020;91:e13366.
Liu J, Wang JK, Zhu W, Pu YY, Guan LL, Liu JX. Monitoring the rumen pectinolytic bacteria Treponema saccharophilum using real-time PCR. FEMS Microbiol. Ecol. 2014;87:576–585.
Ma J, Liu Z, Gao X, Bao Y, Hong Y, He X. Gut microbiota remodeling improves natural aging-related disorders through Akkermansia muciniphila and its derived acetic acid. Pharmacol. Res. 2023;189:106687.
Petry AL, Patience JF, Huntley NF, Koester LR, Bedford MR, Schmitz-Esser S. Xylanase supplementation modulates the microbiota of the large intestine of pigs fed corn-based fiber by means of a stimbiotic mechanism of action. Front. Microbiol. 2021;12.
Pourramezan Z, Ghezelbash GR, Romani B, Ziaei S, Hedayatkhah A. Screening and identification of newly isolated cellulose-degrading bacteria from the gut of xylophagous termite Microcerotermes diversus (Silvestri). Mikrobiologiia 2012;81:796–802.
Qu W, Yuan X, Zhao J, Zhang Y, Hu J, Wang J. Dietary advanced glycation end products modify gut microbial composition and partially increase colon permeability in rats. Mol. Nutr. Food Res. 2017;61:1700118.
Rehman AU, Khan AI, Xin Y, Liang W. Morchella esculenta polysaccharide attenuate obesity, inflammation and modulate gut microbiota. AMB Express 2022;12:114.
Song X, Zhong L, Lyu N, Liu F, Li B, Hao Y. Inulin can alleviate metabolism disorders in ob/ob mice by partially restoring leptin-related pathways mediated by gut microbiota. Genomics Proteomics Bioinf. 2019;17:64–75.
Vermorel M, Martin-Rosset W. Concepts, scientific bases, structure and validation of the French horse net energy system (UFC). Livestock Production Sci. 1997;47:0–275.
Yan Q, Zhang S, Li S, Wang G, Zhang A, Jin T. Cultivation and genomic characterization of the bile bacterial species from cholecystitis patients. Front. Microbiol. 2021;12.
Zhang K, Su ZP, Xu Y, Li QL, Wang Y, Liu L. Isolation and identification of cellulose-degrading bacteria in the posterior intestine. Biotic Resour. 2020;42:228–233.
Zhao L, Xu Q, Liu Y, Zhang Y, Zhong J. Isolation, whole genome sequencing and analysis of a sp C5.1, capable of producing vitamin B. Food Sci. 2022;43:1–13.
Zhou Z, Tang L, Yan L, Jia H, Xiong Y, Shang J. Wild and captive environments drive the convergence of gut microbiota and impact health in threatened equids. Front. Microbiol. 2022;13.
Wang J, Gu H, Gao H, Zhang T, Jiang F, Song P, Liu Y, Fan Q, Xu Y, Zhang R. Insights into Cold-Season Adaptation of Mongolian Wild Asses Revealed by Gut Microbiome Metagenomics. Microorganisms 2025 Oct 4;13(10).
Li F, Kong X, Khan MZ, Wei L, Wei J, Zhu M, Liu G, Huang B, Wang C, Zhang Z. Gut microbiome regulation in equine animals: current understanding and future perspectives. Front Microbiol 2025;16:1602258.
Wang J, Gu H, Gao H, Zhang T, Li B, Zhang M, Jiang F, Song P, Liang C, Fan Q, Xu Y, Zhang R. Developmental dynamics and functional adaptation of gut microbiota in Mongolian wild asses (Equus hemionus hemionus) across ontogenetic stages in arid desert ecosystems. Front Microbiol 2025;16:1659661.