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Wang D, Tang G, Wang Y, Yu J, Chen L, Chen J, Wu Y, Zhang Y, Cao Y, Yao J. Rumen bacterial cluster identification and its influence on rumen metabolites and growth performance of young goats. ANIMAL NUTRITION (ZHONGGUO XU MU SHOU YI XUE HUI) 2023; 15:34-44. [PMID: 37771855 PMCID: PMC10522951 DOI: 10.1016/j.aninu.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 01/07/2023] [Accepted: 05/15/2023] [Indexed: 09/30/2023]
Abstract
Enterotypes, which are defined as bacterial clusters in the gut microbiome, have been found to have a close relationship to host metabolism and health. However, this concept has never been used in the rumen, and little is known about the complex biological relationships between ruminants and their rumen bacterial clusters. In this study, we used young goats (n = 99) as a model, fed them the same diet, and analyzed their rumen microbiome and corresponding bacterial clusters. The relationships between the bacterial clusters and rumen fermentation and growth performance in the goats were further investigated. Two bacterial clusters were identified in all goats: the P-cluster (dominated by genus Prevotella, n = 38) and R-cluster (dominated by Ruminococcus, n = 61). Compared with P-cluster goats, R-cluster goats had greater growth rates, concentrations of propionate, butyrate, and 18 free amino acids¸ and proportion of unsaturated fatty acids, but lower acetate molar percentage, acetate to propionate ratio, and several odd and branched chain and saturated fatty acids in rumen fluid (P < 0.05). Several members of Firmicutes, including Ruminococcus, Oscillospiraceae NK4A214 group, and Christensenellaceae R-7 group were significantly higher in the R-cluster, whereas Prevotellaceae members, such as Prevotella and Prevotellaceae UCG-003, were significantly higher in P-cluster (P < 0.01). Co-occurrence networks showed that R-cluster enriched bacteria had significant negative correlations with P-cluster enriched bacteria (P < 0.05). Moreover, we found the concentrations of propionate, butyrate and free amino acids, and the proportions of unsaturated fatty acids were positively correlated with R-cluster enriched bacteria (P < 0.05). The concentrations of acetate, acetate to propionate ratio, and the proportion of odd and branched chain and saturated fatty acids were positively correlated with P-cluster enriched bacteria (P < 0.05). Overall, our results indicated that rumen bacterial clusters can influence rumen fermentation and growth performance of young goats, which may shed light on modulating the rumen microbiome in early life to improve the growth performance of ruminant animals.
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Affiliation(s)
- Dangdang Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Guangfu Tang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yannan Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Junjian Yu
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Luyu Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jie Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yanbo Wu
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yuanjie Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yangchun Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Junhu Yao
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
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Liu R, Shen Y, Ma H, Li Y, Lambo MT, Dai B, Shen W, Qu Y, Zhang Y. Silibinin reduces in vitro methane production by regulating the rumen microbiome and metabolites. Front Microbiol 2023; 14:1225643. [PMID: 37680535 PMCID: PMC10481870 DOI: 10.3389/fmicb.2023.1225643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/28/2023] [Indexed: 09/09/2023] Open
Abstract
This study used Silibinin as an additive to conduct fermentation experiments, wherein its effects on rumen gas production, fermentation, metabolites, and microbiome were analyzed in vitro. The silibinin inclusion level were 0 g/L (control group), 0.075 g/L, 0.15 g/L, 0.30 g/L, and 0.60 g/L (experimental group). Fermentation parameters, total gas production, carbon dioxide (CO2), methane (CH4), hydrogen (H2), and their percentages were determined. Further analysis of the rumen microbiome's relative abundance and α/β diversity was performed on the Illumina NovaSeq sequencing platform. Qualitative and quantitative metabolomics analyses were performed to analyze the differential metabolites and metabolic pathways based on non-targeted metabolomics. The result indicated that with an increasing dose of silibinin, there was a linear reduction in total gas production, CO2, CH4, H2 and their respective percentages, and the acetic acid to propionic acid ratio. Concurrent with a linear increase in pH, when silibinin was added at 0.15 g/L and above, the total volatile fatty acid concentration decreased, the acetic acid molar ratio decreased, the propionic acid molar ratio increased, and dry matter digestibility decreased. At the same time, the relative abundance of Prevotella, Isotricha, Ophryoscolex, unclassified_Rotifera, Methanosphaera, Orpinomyces, and Neocallimastix in the rumen decreased after adding 0.60 g/L of silibinin. Simultaneously, the relative abundance of Succiniclasticum, NK4A214_group, Candidatus_Saccharimonas, and unclassified_Lachnospiraceae increased, altering the rumen species composition, community, and structure. Furthermore, it upregulated the ruminal metabolites, such as 2-Phenylacetamide, Phlorizin, Dalspinin, N6-(1,2-Dicarboxyethyl)-AMP, 5,6,7,8-Tetrahydromethanopterin, Flavin mononucleotide adenine dinucleotide reduced form (FMNH), Pyridoxine 5'-phosphate, Silibinin, and Beta-D-Fructose 6-phosphate, affecting phenylalanine metabolism, flavonoid biosynthesis, and folate biosynthesis pathways. In summary, adding silibinin can alter the rumen fermentation parameters and mitigate enteric methane production by regulating rumen microbiota and metabolites, which is important for developing novel rumen methane inhibitors.
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Affiliation(s)
- Rui Liu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yueyu Shen
- Beijing Sunlon Livestock Development Company Limited, Beijing, China
| | - Haokai Ma
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yang Li
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Modinat Tolani Lambo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Baisheng Dai
- College of Electrical Engineering and Information, Northeast Agricultural University, Harbin, China
| | - Weizheng Shen
- College of Electrical Engineering and Information, Northeast Agricultural University, Harbin, China
| | - Yongli Qu
- College of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing, China
- Key Laboratory of Low-carbon Green Agriculture in Northeastern China of Ministry of Agriculture and Rural Affairs, Daqing, China
| | - Yonggen Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
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