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Zhang B, Jiang X, Yu Y, Cui Y, Wang W, Luo H, Stergiadis S, Wang B. Rumen microbiome-driven insight into bile acid metabolism and host metabolic regulation. THE ISME JOURNAL 2024; 18:wrae098. [PMID: 38836500 PMCID: PMC11193847 DOI: 10.1093/ismejo/wrae098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/20/2024] [Accepted: 06/04/2024] [Indexed: 06/06/2024]
Abstract
Gut microbes play a crucial role in transforming primary bile acids (BAs) into secondary forms, which influence systemic metabolic processes. The rumen, a distinctive and critical microbial habitat in ruminants, boasts a diverse array of microbial species with multifaceted metabolic capabilities. There remains a gap in our understanding of BA metabolism within this ecosystem. Herein, through the analysis of 9371 metagenome-assembled genomes and 329 cultured organisms from the rumen, we identified two enzymes integral to BA metabolism: 3-dehydro-bile acid delta4,6-reductase (baiN) and the bile acid:Na + symporter family (BASS). Both in vitro and in vivo experiments were employed by introducing exogenous BAs. We revealed a transformation of BAs in rumen and found an enzyme cluster, including L-ribulose-5-phosphate 3-epimerase and dihydroorotate dehydrogenase. This cluster, distinct from the previously known BA-inducible operon responsible for 7α-dehydroxylation, suggests a previously unrecognized pathway potentially converting primary BAs into secondary BAs. Moreover, our in vivo experiments indicated that microbial BA administration in the rumen can modulate amino acid and lipid metabolism, with systemic impacts underscored by core secondary BAs and their metabolites. Our study provides insights into the rumen microbiome's role in BA metabolism, revealing a complex microbial pathway for BA biotransformation and its subsequent effect on host metabolic pathways, including those for glucose, amino acids, and lipids. This research not only advances our understanding of microbial BA metabolism but also underscores its wider implications for metabolic regulation, offering opportunities for improving animal and potentially human health.
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Affiliation(s)
- Boyan Zhang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Xianzhe Jiang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Yue Yu
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Yimeng Cui
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Wei Wang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Hailing Luo
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Sokratis Stergiadis
- Department of Animal Sciences, School of Agriculture Policy and Development, University of Reading, Reading RG6 6EU, United Kingdom
| | - Bing Wang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
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Eiamsam-Ang T, Tadee P, Buddhasiri S, Chuammitri P, Kittiwan N, Pascoe B, Patchanee P. Commercial farmed swine harbour a variety of pathogenic bacteria and antimicrobial resistance genes. J Med Microbiol 2024; 73. [PMID: 38230911 DOI: 10.1099/jmm.0.001787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024] Open
Abstract
Introduction. The northern region of Thailand serves as a crucial area for swine production, contributing to the Thai community food supply. Previous studies have highlighted the presence of foodborne bacterial pathogens originating from swine farms in this region, posing a threat to both human and animal health.Gap statement. Multiple swine bacterial pathogens have been studied at a species level, but the distribution and co-occurrence of bacterial pathogens in agricultural swine has not been well established.Aim. Our study employed the intestinal scraping technique to directly examine the bacterial micro-organisms interacting with the swine host.Methodology. We used shotgun metagenomic sequencing to analyse the bacterial pathogens inhabiting the caecal microbiome of swine from five commercial farms in northern Thailand.Results. A variety of pathogenic and opportunistic bacteria were identified, including Escherichia coli, Clostridium botulinum, Staphylococcus aureus and the Corynebacterium genus. From a One Health perspective, these species are important foodborne and opportunistic pathogens in both humans and agricultural animals, making swine a critical pathogen reservoir that can cause illness in humans, especially farm workers. Additionally, the swine caecal microbiome contains commensal bacteria such as Bifidobacterium, Lactobacillus and Faecalibacterium, which are associated with normal physiology and feed utilization in healthy swine. Antimicrobial resistance genes were also detected in all samples, specifically conferring resistance to tetracycline and aminoglycosides, which have historically been used extensively in swine farming.Conclusion. The findings further support the need for improved sanitation standards in swine farms, and additional monitoring of agricultural animals and farm workers to reduce contamination and improved produce safety for human consumption.
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Affiliation(s)
- Thanaporn Eiamsam-Ang
- Graduate Program in Veterinary Science, Faculty of Veterinary Medicine, Chiang Mai University, Muang, Chiang Mai, Thailand
| | - Pakpoom Tadee
- Veterinary Academic Office, Faculty of Veterinary Medicine, Chiang Mai University, Muang, Chiang Mai, Thailand
| | - Songphon Buddhasiri
- Veterinary Academic Office, Faculty of Veterinary Medicine, Chiang Mai University, Muang, Chiang Mai, Thailand
| | - Phongsakorn Chuammitri
- Veterinary Academic Office, Faculty of Veterinary Medicine, Chiang Mai University, Muang, Chiang Mai, Thailand
| | - Nattinee Kittiwan
- Veterinary Research and Development Center (Upper Northern Region), Hang Chat, Lampang, Thailand
| | - Ben Pascoe
- Veterinary Academic Office, Faculty of Veterinary Medicine, Chiang Mai University, Muang, Chiang Mai, Thailand
- Centre for Genomic Pathogen Surveillance, Pandemic Sciences Institute, University of Oxford, Oxford, UK
- Ineos Oxford Istitute for Antimicrobial Research, Department of Biology, University of Oxford, Oxford, UK
| | - Prapas Patchanee
- Veterinary Academic Office, Faculty of Veterinary Medicine, Chiang Mai University, Muang, Chiang Mai, Thailand
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Konstantinidis KT. Sequence-discrete species for prokaryotes and other microbes: A historical perspective and pending issues. MLIFE 2023; 2:341-349. [PMID: 38818268 PMCID: PMC10989153 DOI: 10.1002/mlf2.12088] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/04/2023] [Accepted: 10/08/2023] [Indexed: 06/01/2024]
Abstract
Whether prokaryotes, and other microorganisms, form distinct clusters that can be recognized as species remains an issue of paramount theoretical as well as practical consequence in identifying, regulating, and communicating about these organisms. In the past decade, comparisons of thousands of genomes of isolates and hundreds of metagenomes have shown that prokaryotic diversity may be predominantly organized in such sequence-discrete clusters, albeit organisms of intermediate relatedness between the identified clusters are also frequently found. Accumulating evidence suggests, however, that the latter "intermediate" organisms show enough ecological and/or functional distinctiveness to be considered different species. Notably, the area of discontinuity between clusters often-but not always-appears to be around 85%-95% genome-average nucleotide identity, consistently among different taxa. More recent studies have revealed remarkably similar diversity patterns for viruses and microbial eukaryotes as well. This high consistency across taxa implies a specific mechanistic process that underlies the maintenance of the clusters. The underlying mechanism may be a substantial reduction in the efficiency of homologous recombination, which mediates (successful) horizontal gene transfer, around 95% nucleotide identity. Deviations from the 95% threshold (e.g., species showing lower intraspecies diversity) may be caused by ecological differentiation that imposes barriers to otherwise frequent gene transfer. While this hypothesis that clusters are driven by ecological differentiation coupled to recombination frequency (i.e., higher recombination within vs. between groups) is appealing, the supporting evidence remains anecdotal. The data needed to rigorously test the hypothesis toward advancing the species concept are also outlined.
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Affiliation(s)
- Konstantinos T. Konstantinidis
- School of Civil and Environmental Engineering, and School of Biological SciencesGeorgia Institute of TechnologyAtlantaGeorgiaUSA
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Wang D, Chen L, Tang G, Yu J, Chen J, Li Z, Cao Y, Lei X, Deng L, Wu S, Guan LL, Yao J. Multi-omics revealed the long-term effect of ruminal keystone bacteria and the microbial metabolome on lactation performance in adult dairy goats. MICROBIOME 2023; 11:215. [PMID: 37773207 PMCID: PMC10540338 DOI: 10.1186/s40168-023-01652-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/23/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND The increased growth rate of young animals can lead to higher lactation performance in adult goats; however, the effects of the ruminal microbiome on the growth of young goats, and the contribution of the early-life rumen microbiome to lifelong growth and lactation performance in goats has not yet been well defined. Hence, this study assessed the rumen microbiome in young goats with different average daily gains (ADG) and evaluated its contribution to growth and lactation performance during the first lactation period. RESULTS Based on monitoring of a cohort of 99 goats from youth to first lactation, the 15 highest ADG (HADG) goats and 15 lowest ADG (LADG) goats were subjected to rumen fluid microbiome and metabolome profiling. The comparison of the rumen metagenome of HADG and LADG goats revealed that ruminal carbohydrate metabolism and amino acid metabolism function were enhanced in HADG goats, suggesting that the rumen fluid microbiome of HADG goats has higher feed fermentation ability. Co-occurrence network and correlation analysis revealed that Streptococcus, Candidatus Saccharimonans, and Succinivibrionaceae UCG-001 were significantly positively correlated with young goats' growth rates and some HADG-enriched carbohydrate and protein metabolites, such as propionate, butyrate, maltoriose, and amino acids, while several genera and species of Prevotella and Methanogens exhibited a negative relationship with young goats' growth rates and correlated with LADG-enriched metabolites, such as rumen acetate as well as methane. Additionally, some functional keystone bacterial taxa, such as Prevotella, in the rumen of young goats were significantly correlated with the same taxa in the rumen of adult lactation goats. Prevotella also enriched the rumen of LADG lactating goats and had a negative effect on rumen fermentation efficiency in lactating goats. Additional analysis using random forest machine learning showed that rumen fluid microbiota and their metabolites of young goats, such as Prevotellaceae UCG-003, acetate to propionate ratio could be potential microbial markers that can potentially classify high or low ADG goats with an accuracy of prediction of > 81.3%. Similarly, the abundance of Streptococcus in the rumen of young goats could be predictive of milk yield in adult goats with high accuracy (area under the curve 91.7%). CONCLUSIONS This study identified the keystone bacterial taxa that influence carbohydrate and amino acid metabolic functions and shape the rumen fluid microbiota in the rumen of adult animals. Keystone bacteria and their effects on rumen fluid microbiota and metabolome composition during early life can lead to higher lactation performance in adult ruminants. These findings suggest that the rumen microbiome together with their metabolites in young ruminants have long-term effect on feed efficiency and animal performance. The fundamental knowledge may allow us to develop advanced methods to manipulate the rumen microbiome and improve production efficiency of ruminants. Video Abstract.
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Affiliation(s)
- Dangdang Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Luyu Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Guangfu Tang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Junjian Yu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jie Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Zongjun Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Yangchun Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xinjian Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Lu Deng
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Shengru Wu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, 116 St. and 85 Ave, Edmonton, AB, Canada.
| | - Junhu Yao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
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