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Wang Y, Sun Y, Huang K, Gao Y, Lin Y, Yuan B, Wang X, Xu G, Nussio LG, Yang F, Ni K. Multi-omics analysis reveals the core microbiome and biomarker for nutrition degradation in alfalfa silage fermentation. mSystems 2024:e0068224. [PMID: 39440963 DOI: 10.1128/msystems.00682-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 09/17/2024] [Indexed: 10/25/2024] Open
Abstract
Alfalfa (Medicago sativa L.) is one of the most extensively cultivated forage crops globally, and its nutritional quality critically influences the productivity of dairy cows. Silage fermentation is recognized as a crucial technique for the preservation of fresh forage, ensuring the retention of its vital nutrients. However, the detailed microbial components and their functions in silage fermentation are not fully understood. This study integrated large-scale microbial culturing with high-throughput sequencing to thoroughly examine the microbial community structure in alfalfa silage and explored the potential pathways of nutritional degradation via metagenomic analysis. The findings revealed an enriched microbial diversity in silage, indicated by the identification of amplicon sequence variants. Significantly, the large-scale culturing approach recovered a considerable number of unique microbes undetectable by high-throughput sequencing. Predominant genera, such as Lactiplantibacillus, Leuconostoc, Lentilactobacillus, Weissella, and Liquorilactobacillus, were identified based on their abundance and prevalence. Additionally, genes associated with Enterobacteriaceae were discovered, which might be involved in pathways leading to the production of ammonia-N and butyric acid. Overall, this study offers a comprehensive insight into the microbial ecology of silage fermentation and provides valuable information for leveraging microbial consortia to enhance fermentation quality. IMPORTANCE Silage fermentation is a microbial-driven anaerobic process that efficiently converts various substrates into nutrients readily absorbable and metabolizable by ruminant animals. This study, integrating culturomics and metagenomics, has successfully identified core microorganisms involved in silage fermentation, including those at low abundance. This discovery is crucial for the targeted cultivation of specific microorganisms to optimize fermentation processes. Furthermore, our research has uncovered signature microorganisms that play pivotal roles in nutrient metabolism, significantly advancing our understanding of the intricate relationships between microbial communities and nutrient degradation during silage fermentation.
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Affiliation(s)
- Yuan Wang
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
- Frontier Technology Research Institute, China Agricultural University, Shenzhen, China
| | - Yunlei Sun
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - KeXin Huang
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Yu Gao
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Yufan Lin
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Baojie Yuan
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Xin Wang
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | - Gang Xu
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
| | | | - Fuyu Yang
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
- Frontier Technology Research Institute, China Agricultural University, Shenzhen, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Kuikui Ni
- College of Grassland Science and Technology, China Agricultural University, Beijing, China
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Drzazga A, Bernat P, Nowak A, Szustak M, Korkus E, Gendaszewska-Darmach E, Koziołkiewicz M. N-acyl glycines produced by commensal bacteria potentiate GLP-1 secretion as GPCR ligands. Biomed Pharmacother 2024; 180:117467. [PMID: 39362066 DOI: 10.1016/j.biopha.2024.117467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 08/31/2024] [Accepted: 09/19/2024] [Indexed: 10/05/2024] Open
Abstract
Commensal microbiota is crucial for nutrient digestion and production of biologically active molecules, many of which mimic endogenous ligands of human GPCRs. Bacteroides spp. are among the most abundant bacteria residing in the human gut and their absence has been positively correlated with metabolic disorders. In the present study, we focused on N-acylated glycines (NAGlys) as products of Bacteroides spp. and potential GPCR ligands modulating GLP-1 secretion. Representative strains of the most abundant commensal Bacteroides were cultured in either yeast- or animal-based nutrient broths. The broths post-culture were investigated in terms of the contents of NAGlys and stimulatory effects towards GLP-1 production in GLUTag and NCI-H716 cell lines. Pure preparations of the detected NAGlys were further studied to evaluate stimulation of GLP-1 production and related cellular signalling evoked. The most potent NAGlys were also tested as ligands of key lipid GPCRs involved in the regulation of carbohydrate metabolism: GPR40/FFAR1, GPR55, GPR119, and GPR120/FFAR4. We found that Bacteroides potentiate GLP-1 production, depending on the strain and provided nutrient mix. Long-chain unsaturated oleoyl and arachidonoyl glycines, produced by B. thetaiotaomicron and B. intestinalis in the animal-based broth, were particularly effective in stimulation of GLP-1 secretion. They served as agonists of all the receptors under study expressed in GLP-1-producing cells. The obtained results broaden the knowledge of microbial signalling molecules and their role in regulation of carbohydrate homeostasis. They also emphasise the importance of balanced diet as a source of building blocks for commensal bacteria to produce efficient agonists of lipid GPCRs.
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Affiliation(s)
- Anna Drzazga
- Institute of Molecular and Industrial Biotechnology, Faculty of Biotechnology and Food Sciences, Lodz University of Technology, Stefanowskiego Street 2/22, Lodz 90-537, Poland.
| | - Przemysław Bernat
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Industrial Microbiology and Biotechnology, Banacha Street 12/16, Lodz 90-237, Poland
| | - Adriana Nowak
- Department of Environmental Biotechnology, Faculty of Biotechnology and Food Sciences, Lodz University of Technology, Wolczanska Street 171/173, Lodz 90-530, Poland
| | - Marcin Szustak
- Institute of Molecular and Industrial Biotechnology, Faculty of Biotechnology and Food Sciences, Lodz University of Technology, Stefanowskiego Street 2/22, Lodz 90-537, Poland
| | - Eliza Korkus
- Institute of Molecular and Industrial Biotechnology, Faculty of Biotechnology and Food Sciences, Lodz University of Technology, Stefanowskiego Street 2/22, Lodz 90-537, Poland
| | - Edyta Gendaszewska-Darmach
- Institute of Molecular and Industrial Biotechnology, Faculty of Biotechnology and Food Sciences, Lodz University of Technology, Stefanowskiego Street 2/22, Lodz 90-537, Poland
| | - Maria Koziołkiewicz
- Institute of Molecular and Industrial Biotechnology, Faculty of Biotechnology and Food Sciences, Lodz University of Technology, Stefanowskiego Street 2/22, Lodz 90-537, Poland
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Lötstedt B, Stražar M, Xavier R, Regev A, Vickovic S. Spatial host-microbiome sequencing reveals niches in the mouse gut. Nat Biotechnol 2024; 42:1394-1403. [PMID: 37985876 PMCID: PMC11392810 DOI: 10.1038/s41587-023-01988-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/12/2023] [Indexed: 11/22/2023]
Abstract
Mucosal and barrier tissues, such as the gut, lung or skin, are composed of a complex network of cells and microbes forming a tight niche that prevents pathogen colonization and supports host-microbiome symbiosis. Characterizing these networks at high molecular and cellular resolution is crucial for understanding homeostasis and disease. Here we present spatial host-microbiome sequencing (SHM-seq), an all-sequencing-based approach that captures tissue histology, polyadenylated RNAs and bacterial 16S sequences directly from a tissue by modifying spatially barcoded glass surfaces to enable simultaneous capture of host transcripts and hypervariable regions of the 16S bacterial ribosomal RNA. We applied our approach to the mouse gut as a model system, used a deep learning approach for data mapping and detected spatial niches defined by cellular composition and microbial geography. We show that subpopulations of gut cells express specific gene programs in different microenvironments characteristic of regional commensal bacteria and impact host-bacteria interactions. SHM-seq should enhance the study of native host-microbe interactions in health and disease.
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Affiliation(s)
- Britta Lötstedt
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
- New York Genome Center, New York, NY, USA
| | | | - Ramnik Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts, General Hospital, Harvard Medical School, Boston, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Genentech, South San Francisco, CA, USA.
| | - Sanja Vickovic
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- New York Genome Center, New York, NY, USA.
- Department of Biomedical Engineering and Herbert Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Beijer Laboratory for Gene and Neuro Research, Uppsala University, Uppsala, Sweden.
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4
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Jiang MZ, Liu C, Xu C, Jiang H, Wang Y, Liu SJ. Gut microbial interactions based on network construction and bacterial pairwise cultivation. SCIENCE CHINA. LIFE SCIENCES 2024; 67:1751-1762. [PMID: 38600293 DOI: 10.1007/s11427-023-2537-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 01/27/2024] [Indexed: 04/12/2024]
Abstract
Association networks are widely applied for the prediction of bacterial interactions in studies of human gut microbiomes. However, the experimental validation of the predicted interactions is challenging due to the complexity of gut microbiomes and the limited number of cultivated bacteria. In this study, we addressed this challenge by integrating in vitro time series network (TSN) associations and co-cultivation of TSN taxon pairs. Fecal samples were collected and used for cultivation and enrichment of gut microbiome on YCFA agar plates for 13 days. Enriched cells were harvested for DNA extraction and metagenomic sequencing. A total of 198 metagenome-assembled genomes (MAGs) were recovered. Temporal dynamics of bacteria growing on the YCFA agar were used to infer microbial association networks. To experimentally validate the interactions of taxon pairs in networks, we selected 24 and 19 bacterial strains from this study and from the previously established human gut microbial biobank, respectively, for pairwise co-cultures. The co-culture experiments revealed that most of the interactions between taxa in networks were identified as neutralism (51.67%), followed by commensalism (21.67%), amensalism (18.33%), competition (5%) and exploitation (3.33%). Genome-centric analysis further revealed that the commensal gut bacteria (helpers and beneficiaries) might interact with each other via the exchanges of amino acids with high biosynthetic costs, short-chain fatty acids, and/or vitamins. We also validated 12 beneficiaries by adding 16 additives into the basic YCFA medium and found that the growth of 66.7% of these strains was significantly promoted. This approach provides new insights into the gut microbiome complexity and microbial interactions in association networks. Our work highlights that the positive relationships in gut microbial communities tend to be overestimated, and that amino acids, short-chain fatty acids, and vitamins are contributed to the positive relationships.
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Affiliation(s)
- Min-Zhi Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266000, China
| | - Chang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266000, China
| | - Chang Xu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266000, China
| | - He Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266000, China
| | - Yulin Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266000, China.
| | - Shuang-Jiang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266000, China.
- State Key Laboratory of Microbial Resources, and Environmental Microbiology Research Center (EMRC), Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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5
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Yang Y, Zhang Z, Wang Y, Rao J, Sun J, Wu Z, He J, Tan X, Liang L, Yu Q, Wu Z, Zou H, Zhang H, Dong M, Zheng J, Feng S, Cheng W, Wei H. Colonization of microbiota derived from Macaca fascicularis, Bama miniature pigs, beagle dogs, and C57BL/6J mice alleviates DSS-induced colitis in germ-free mice. Microbiol Spectr 2024; 12:e0038824. [PMID: 38990027 PMCID: PMC11302040 DOI: 10.1128/spectrum.00388-24] [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: 02/12/2024] [Accepted: 06/14/2024] [Indexed: 07/12/2024] Open
Abstract
Fecal microbiota transplantation (FMT) is an innovative and promising treatment for inflammatory bowel disease (IBD), which is related to the capability of FMT to supply functional microorganisms to improve recipient gut health. Numerous studies have highlighted considerable variability in the efficacy of FMT interventions for IBD. Several factors, including the composition of the donor microorganisms, significantly affect the efficacy of FMT in the treatment of IBD. Consequently, identifying the functional microorganisms in the donor is crucial for enhancing the efficacy of FMT. To explore potential common anti-inflammatory bacteria with therapeutic implications for IBD, germ-free (GF) BALB/c mice were pre-colonized with fecal microbiota obtained from diverse donors, including Macaca fascicularis (MCC_FMT), Bama miniature pigs (BP_FMT), beagle dogs (BD_FMT), and C57BL/6 J mice (Mice_FMT). Subsequently, mice were treated with dextran sodium sulfate (DSS). As expected, the symptoms of colitis were alleviated by MCC_FMT, BP_FMT, BD_FMT, and Mice_FMT, as demonstrated by the prevention of an elevated disease activity index in mice. Additionally, the utilization of distinct donors protected the intestinal barrier and contributed to the regulation of cytokine homeostasis. Metagenomic sequencing data showed that the microbial community structure and dominant species were significantly different among the four groups, which may be linked to variations in the anti-inflammatory efficacy observed in the respective groups. Notably, Lactobacillus reuteri and Flavonifractor plautii were consistently present in all four groups. L. reuteri exhibited a significant negative correlation with IL-1β, and animal studies further confirmed its efficacy in alleviating IBD, suggesting the presence of common functional bacteria across different donors that exert anti-inflammatory effects. This study provides essential foundational data for the potential clinical applications of FMT.IMPORTANCEDespite variations in efficacy observed among donors, numerous studies have underscored the potential of fecal microbiota transplantation (FMT) for managing inflammatory bowel disease (IBD), indicating the presence of shared anti-IBD bacterial species. In the present study, the collective anti-inflammatory efficacy observed across all four donor groups prompted the identification of two common bacterial species using metagenomics. A significant negative correlation between Lactobacillus reuteri and IL-1β was revealed. Furthermore, mice gavaged with L. reuteri successfully managed the colitis challenge induced by dextran sodium sulfate (DSS), suggesting that L. reuteri may act as an efficacious bacterium mediating shared anti-inflammatory effects among variable donors. This finding highlights the utilization of variable donors to screen FMT core bacteria, which may be a novel strategy for developing FMT applications.
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Affiliation(s)
- Yapeng Yang
- Central Laboratory, Clinical Medicine Scientific and Technical Innovation Park, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Zeyue Zhang
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Yuqing Wang
- Central Laboratory, Clinical Medicine Scientific and Technical Innovation Park, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Junhua Rao
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Jing Sun
- Chongqing Academy of Animal Sciences, Chongqing, China
- Key Laboratory of Pig Industry Sciences, Ministry of Agriculture, Chongqing, China
| | - Zhimin Wu
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- School of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Jinhui He
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Xiang Tan
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Lifeng Liang
- Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qian Yu
- Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhifeng Wu
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Huicong Zou
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Hang Zhang
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Miaomiao Dong
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Jixia Zheng
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Shuaifei Feng
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Wei Cheng
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Hong Wei
- Central Laboratory, Clinical Medicine Scientific and Technical Innovation Park, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China
- State Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
- Yu‐Yue Pathology Scientific Research Center, Chongqing, China
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6
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Li X, Yang J, Zhou X, Dai C, Kong M, Xie L, Liu C, Liu Y, Li D, Ma X, Dai Y, Sun Y, Jian Z, Guo X, Lin X, Li Y, Sun L, Liu X, Jin L, Tang H, Zheng Y, Hong S. Ketogenic diet-induced bile acids protect against obesity through reduced calorie absorption. Nat Metab 2024; 6:1397-1414. [PMID: 38937659 DOI: 10.1038/s42255-024-01072-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 05/24/2024] [Indexed: 06/29/2024]
Abstract
The low-carbohydrate ketogenic diet (KD) has long been practiced for weight loss, but the underlying mechanisms remain elusive. Gut microbiota and metabolites have been suggested to mediate the metabolic changes caused by KD consumption, although the particular gut microbes or metabolites involved are unclear. Here, we show that KD consumption enhances serum levels of taurodeoxycholic acid (TDCA) and tauroursodeoxycholic acid (TUDCA) in mice to decrease body weight and fasting glucose levels. Mechanistically, KD feeding decreases the abundance of a bile salt hydrolase (BSH)-coding gut bacterium, Lactobacillus murinus ASF361. The reduction of L. murinus ASF361 or inhibition of BSH activity increases the circulating levels of TDCA and TUDCA, thereby reducing energy absorption by inhibiting intestinal carbonic anhydrase 1 expression, which leads to weight loss. TDCA and TUDCA treatments have been found to protect against obesity and its complications in multiple mouse models. Additionally, the associations among the abovementioned bile acids, microbial BSH and metabolic traits were consistently observed both in an observational study of healthy human participants (n = 416) and in a low-carbohydrate KD interventional study of participants who were either overweight or with obesity (n = 25). In summary, we uncover a unique host-gut microbiota metabolic interaction mechanism for KD consumption to decrease body weight and fasting glucose levels. Our findings support TDCA and TUDCA as two promising drug candidates for obesity and its complications in addition to a KD.
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Affiliation(s)
- Xiao Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Jie Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Xiaofeng Zhou
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Chen Dai
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Mengmeng Kong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Linshan Xie
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Chenglin Liu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, P.R. China
| | - Yilian Liu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Dandan Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Xiaonan Ma
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Yuxiang Dai
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Disease, Shanghai, P.R. China
| | - Yan Sun
- Masonic Medical Research Institute, Utica, NY, USA
| | - Zhijie Jian
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Xiaohuan Guo
- Institute for Immunology, Tsinghua University, Beijing, P.R. China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P.R. China
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, P.R. China
| | - Yixue Li
- Bio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P.R. China
- Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, P.R. China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Liang Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, P.R. China
| | - Xin Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China.
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Disease, Shanghai, P.R. China.
- Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, P.R. China.
| | - Shangyu Hong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China.
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He JH, Wang CY, Abdugheni R, Ni X, Liu C, Bi MX, Liu SJ. Acutalibacter caecimuris sp. nov., Acutalibacter intestini sp. nov. and Neglectibacter caecimuris sp. nov. , three novel species of the family Oscillospiraceae isolated from caecal contents of C57BL/6J mice. Int J Syst Evol Microbiol 2024; 74:006449. [PMID: 38995185 PMCID: PMC11316587 DOI: 10.1099/ijsem.0.006449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 06/27/2024] [Indexed: 07/13/2024] Open
Abstract
The intestines of mice are colonized by diverse, as-yet-uncultivated bacteria. In this report, we describe the isolation, culture, genotypic and phenotypic characterization, as well as taxonomic classification of three novel anaerobic bacterial strains derived from the caecal contents of C57BL/6J male mice. According to the phenotypic and genotype-based polyphasic taxonomy, we propose three novel species within the family Oscillospiraceae. They are Acutalibacter caecimuris sp. nov. (type strain M00118T=CGMCC 1.18042T=KCTC 25739T), Acutalibacter intestini sp. nov. (type strain M00204T=CGMCC 1.18044T=KCTC 25741T) and Neglectibacter caecimuris sp. nov. (type strain M00184T=CGMCC 1.18043T=KCTC 25740T).
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Affiliation(s)
- Jia-Hui He
- College of Veterinary Medicine, Shanxi Agricultural University (Shanxi Academy of Agricultural Sciences), Jinzhong 030801, PR China
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Chang-Yu Wang
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, PR China
| | - Rashidin Abdugheni
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, PR China
| | - Xue Ni
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Chang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Ming-Xia Bi
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Shuang-Jiang Liu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
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8
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Zhang L, Ni X, Jiang M, Du M, Zhang S, Jiang H, Liu C, Liu S. Lacticaseibacillus rhamnosus Strains for Alleviation of Irritable Bowel Disease and Chronic Fatigue Syndrome. Microorganisms 2024; 12:1081. [PMID: 38930463 PMCID: PMC11205684 DOI: 10.3390/microorganisms12061081] [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: 04/29/2024] [Revised: 05/16/2024] [Accepted: 05/21/2024] [Indexed: 06/28/2024] Open
Abstract
Lacticaseibacillus rhamnosus is applied as a probiotic to alleviate various metabolic, gastrointestinal, and psychological symptoms and diseases, and its probiotic effectiveness is strain-specific. In this study, we obtained 21 strains of Ls. rhamnosus, and their genomes were sequenced. We defined the pan- and core-genomes of Ls. rhamnosus. Phenotypes such as the assimilation of carbohydrates and antibiotic resistance were experimentally characterized and associated with genome annotations. Nine strains were selected and tested for growth rates, tolerance to acidity/alkalinity and bile acids, the production of short-chain fatty acids, and competition with pathogenic microbes. Strains WL11 and WL17 were targeted as potential probiotics and were applied in mouse model tests for the alleviation of chronic fatigue syndrome (CFS) and irritable bowel syndrome (IBS). The results showed that WL11 and WL17 effectively alleviated slow body weight gain, anxiety, poor memory, and cognitive impairment in CFS mouse models. They also reduced the expression of pro-inflammatory factors, such as TNF-α and IL-6, and alleviated intestinal peristalsis, visceral hypersensitivity, and anxiety-like behavior in IBS mouse models. This study reports new Ls. rhamnosus strain resources and their effect on alleviation of both IBS and CFS symptoms with mouse models; the probiotic functions of those strains in human patients remain to be further tested.
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Affiliation(s)
- Liang Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - Xue Ni
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - Minzhi Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - Mengxuan Du
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - Shuwen Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - He Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - Chang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
| | - Shuangjiang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (L.Z.); (X.N.); (M.J.); (M.D.); (S.Z.); (H.J.); (C.L.)
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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9
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Sun XW, Huang HJ, Wang XM, Wei RQ, Niu HY, Chen HY, Luo M, Abdugheni R, Wang YL, Liu FL, Jiang H, Liu C, Liu SJ. Christensenella strain resources, genomic/metabolomic profiling, and association with host at species level. Gut Microbes 2024; 16:2347725. [PMID: 38722028 PMCID: PMC11085954 DOI: 10.1080/19490976.2024.2347725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024] Open
Abstract
The gut commensal bacteria Christensenellaceae species are negatively associated with many metabolic diseases, and have been seen as promising next-generation probiotics. However, the cultured Christensenellaceae strain resources were limited, and their beneficial mechanisms for improving metabolic diseases have yet to be explored. In this study, we developed a method that enabled the enrichment and cultivation of Christensenellaceae strains from fecal samples. Using this method, a collection of Christensenellaceae Gut Microbial Biobank (ChrisGMB) was established, composed of 87 strains and genomes that represent 14 species of 8 genera. Seven species were first described and the cultured Christensenellaceae resources have been significantly expanded at species and strain levels. Christensenella strains exerted different abilities in utilization of various complex polysaccharides and other carbon sources, exhibited host-adaptation capabilities such as acid tolerance and bile tolerance, produced a wide range of volatile probiotic metabolites and secondary bile acids. Cohort analyses demonstrated that Christensenellaceae and Christensenella were prevalent in various cohorts and the abundances were significantly reduced in T2D and OB cohorts. At species level, Christensenellaceae showed different changes among healthy and disease cohorts. C. faecalis, F. tenuis, L. tenuis, and Guo. tenuis significantly reduced in all the metabolic disease cohorts. The relative abundances of C. minuta, C. hongkongensis and C. massiliensis showed no significant change in NAFLD and ACVD. and C. tenuis and C. acetigenes showed no significant change in ACVD, and Q. tenuis and Geh. tenuis showed no significant change in NAFLD, when compared with the HC cohort. So far as we know, this is the largest collection of cultured resource and first exploration of Christensenellaceae prevalences and abundances at species level.
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Affiliation(s)
- Xin-Wei Sun
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Hao-Jie Huang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Xiao-Meng Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Rui-Qi Wei
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Han-Yu Niu
- College of Veterinary Medicine, Shanxi Agr icultural University, Taigu, China
| | - Hao-Yu Chen
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Man Luo
- College of Veterinary Medicine, Shanxi Agr icultural University, Taigu, China
| | - Rashidin Abdugheni
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürűmqi, P. R. China
| | - Yu-Lin Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Feng-Lan Liu
- College of Life Sciences, Hebei University, Baoding, P. R. China
| | - He Jiang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Chang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
| | - Shuang-Jiang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, P. R. China
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, P. R. China
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10
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Li L, Yan S, Liu S, Wang P, Li W, Yi Y, Qin S. In-depth insight into correlations between gut microbiota and dietary fiber elucidates a dietary causal relationship with host health. Food Res Int 2023; 172:113133. [PMID: 37689844 DOI: 10.1016/j.foodres.2023.113133] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 09/11/2023]
Abstract
Dietary fiber exerts a wide range of biological benefits on host health, which not only provides a powerful source of nutrition for gut microbiota but also supplies key microbial metabolites that directly affect host health. This review mainly focuses on the decomposition and metabolism of dietary fiber and the essential genera Bacteroides and Bifidobacterium in dietary fiber fermentation. Dietary fiber plays an essential role in host health by impacting outcomes related to obesity, enteritis, immune health, cancer and neurodegenerative diseases. Additionally, the gut microbiota-independent pathway of dietary fiber affecting host health is also discussed. Personalized dietary fiber intake combined with microbiome, genetics, epigenetics, lifestyle and other factors has been highlighted for development in the future. A higher level of evidence is needed to demonstrate which microbial phenotype benefits from which kind of dietary fiber. In-depth insights into the correlation between gut microbiota and dietary fiber provide strong theoretical support for the precise application of dietary fiber, which elucidates a dietary causal relationship with host health.
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Affiliation(s)
- Lili Li
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
| | - Shuling Yan
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuangjiang Liu
- Shandong University, Qingdao 266237, China; Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Ping Wang
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
| | - Wenjun Li
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
| | - Yuetao Yi
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
| | - Song Qin
- Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
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11
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Wang K, Zhang Z, Hang J, Liu J, Guo F, Ding Y, Li M, Nie Q, Lin J, Zhuo Y, Sun L, Luo X, Zhong Q, Ye C, Yun C, Zhang Y, Wang J, Bao R, Pang Y, Wang G, Gonzalez FJ, Lei X, Qiao J, Jiang C. Microbial-host-isozyme analyses reveal microbial DPP4 as a potential antidiabetic target. Science 2023; 381:eadd5787. [PMID: 37535747 DOI: 10.1126/science.add5787] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/14/2023] [Indexed: 08/05/2023]
Abstract
A mechanistic understanding of how microbial proteins affect the host could yield deeper insights into gut microbiota-host cross-talk. We developed an enzyme activity-screening platform to investigate how gut microbiota-derived enzymes might influence host physiology. We discovered that dipeptidyl peptidase 4 (DPP4) is expressed by specific bacterial taxa of the microbiota. Microbial DPP4 was able to decrease the active glucagon like peptide-1 (GLP-1) and disrupt glucose metabolism in mice with a leaky gut. Furthermore, the current drugs targeting human DPP4, including sitagliptin, had little effect on microbial DPP4. Using high-throughput screening, we identified daurisoline-d4 (Dau-d4) as a selective microbial DPP4 inhibitor that improves glucose tolerance in diabetic mice.
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Affiliation(s)
- Kai Wang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Zhiwei Zhang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Jing Hang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
| | - Jia Liu
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Fusheng Guo
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Yong Ding
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Meng Li
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Qixing Nie
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Jun Lin
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Yingying Zhuo
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Lulu Sun
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xi Luo
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Qihang Zhong
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
| | - Chuan Ye
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Chuyu Yun
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Yi Zhang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Jue Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Peking University, Beijing, China
| | - Rui Bao
- Center of Infectious Diseases, Division of Infectious Diseases in State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yanli Pang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
| | - Guang Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiaoguang Lei
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Jie Qiao
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- Beijing Advanced Innovation Center for Genomics, Beijing, China
| | - Changtao Jiang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Peking University, Beijing, China
- Center for Obesity and Metabolic Disease Research, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Third Hospital, Peking University, Beijing, China
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12
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Wan X, Yang Q, Wang X, Bai Y, Liu Z. Isolation and Cultivation of Human Gut Microorganisms: A Review. Microorganisms 2023; 11:1080. [PMID: 37110502 PMCID: PMC10141110 DOI: 10.3390/microorganisms11041080] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/12/2023] [Accepted: 04/19/2023] [Indexed: 04/29/2023] Open
Abstract
Microbial resources from the human gut may find use in various applications, such as empirical research on the microbiome, the development of probiotic products, and bacteriotherapy. Due to the development of "culturomics", the number of pure bacterial cultures obtained from the human gut has significantly increased since 2012. However, there is still a considerable number of human gut microbes to be isolated and cultured. Thus, to improve the efficiency of obtaining microbial resources from the human gut, some constraints of the current methods, such as labor burden, culture condition, and microbial targetability, still need to be optimized. Here, we overview the general knowledge and recent development of culturomics for human gut microorganisms. Furthermore, we discuss the optimization of several parts of culturomics including sample collection, sample processing, isolation, and cultivation, which may improve the current strategies.
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Affiliation(s)
| | | | | | - Yun Bai
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (X.W.); (Q.Y.); (X.W.)
| | - Zhi Liu
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (X.W.); (Q.Y.); (X.W.)
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13
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Louail R, Florin F, Bernard S, Michaud JB, Breton J, Achamrah N, Tavolacci MP, Coëffier M, Ribet D. Invasion of intestinal cells by Staphylococcus warneri, a member of the human gut microbiota. Gut Pathog 2023; 15:4. [PMID: 36707889 PMCID: PMC9881306 DOI: 10.1186/s13099-022-00528-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/20/2022] [Indexed: 01/28/2023] Open
Abstract
Coagulase negative staphylococci (CoNS) are a heterogeneous group of bacteria that colonize different types of human epithelia. These bacteria have a highly variable pathogenic potential ranging from avirulent species to major nosocomial pathogens. Staphylococcus warneri is a CoNS species considered to be nonpathogenic. Here, we identify that S. warneri is a natural member of both human and mouse gut microbiota. In addition, we demonstrate that this bacterium is able to get internalized into human cells. We show that S. warneri efficiently invades several human cell types and, more specifically, intestinal epithelial cells, using actin-dependent mechanisms. In contrast to bona fide pathogens, S. warneri does not actively replicate within intestinal cells or resist killing by macrophages. Together, our results highlight that bacteria from the human gut microbiota that are not associated with a high pathogenic potential, can actively invade intestinal cells and may, in this way, impact intestinal physiology.
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Affiliation(s)
- Robin Louail
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France
| | - Franklin Florin
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France
| | - Sophie Bernard
- grid.10400.350000 0001 2108 3034Univ Rouen Normandie, PRIMACEN, HeRacLeS INSERM US51 CNRS UAR2026, 76000 Rouen, France
| | - Jean-Baptiste Michaud
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France
| | - Jonathan Breton
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France
| | - Najate Achamrah
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France ,grid.41724.340000 0001 2296 5231CHU Rouen, Department of Nutrition, 76000 Rouen, France ,grid.41724.340000 0001 2296 5231CHU Rouen, CIC-CRB 1404, 76000 Rouen, France
| | - Marie-Pierre Tavolacci
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France ,grid.41724.340000 0001 2296 5231CHU Rouen, CIC-CRB 1404, 76000 Rouen, France
| | - Moïse Coëffier
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France ,grid.41724.340000 0001 2296 5231CHU Rouen, Department of Nutrition, 76000 Rouen, France ,grid.41724.340000 0001 2296 5231CHU Rouen, CIC-CRB 1404, 76000 Rouen, France
| | - David Ribet
- grid.7429.80000000121866389Univ Rouen Normandie, INSERM, ADEN UMR1073, Nutrition, inflammation and microbiota-gut-brain axis, 76000 Rouen, France ,grid.10400.350000 0001 2108 3034INSERM UMR1073 – Université de Rouen, UFR Santé, 22 Boulevard Gambetta, 76183 Rouen Cedex, France
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14
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Zhao J, Hu Y, Qian C, Hussain M, Liu S, Zhang A, He R, Sun P. The Interaction between Mushroom Polysaccharides and Gut Microbiota and Their Effect on Human Health: A Review. BIOLOGY 2023; 12:biology12010122. [PMID: 36671814 PMCID: PMC9856211 DOI: 10.3390/biology12010122] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 12/23/2022] [Accepted: 01/04/2023] [Indexed: 01/13/2023]
Abstract
Mushroom polysaccharides are a kind of biological macromolecule extracted from the fruiting body, mycelium or fermentation liquid of edible fungi. In recent years, the research on mushroom polysaccharides for alleviating metabolic diseases, inflammatory bowel diseases, cancers and other symptoms by changing the intestinal microenvironment has been increasing. Mushroom polysaccharides could promote human health by regulating gut microbiota, increasing the production of short-chain fatty acids, improving intestinal mucosal barrier, regulating lipid metabolism and activating specific signaling pathways. Notably, these biological activities are closely related to the molecular weight, monosaccharide composition and type of the glycosidic bond of mushroom polysaccharide. This review aims to summarize the latest studies: (1) Regulatory effects of mushroom polysaccharides on gut microbiota; (2) The effect of mushroom polysaccharide structure on gut microbiota; (3) Metabolism of mushroom polysaccharides by gut microbiota; and (4) Effects of mushroom polysaccharides on gut microbe-mediated diseases. It provides a theoretical basis for further exploring the mechanism of mushroom polysaccharides for regulating gut microbiota and gives a reference for developing and utilizing mushroom polysaccharides as promising prebiotics in the future.
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Affiliation(s)
- Jiahui Zhao
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Yixin Hu
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Chao Qian
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Muhammad Hussain
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Shizhu Liu
- Zhejiang Fangge Pharmaceutical Co., Ltd., Qingyuan 323800, China
| | - Anqiang Zhang
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Rongjun He
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
- Zhejiang Fangge Pharmaceutical Co., Ltd., Qingyuan 323800, China
- Bioactives and Functional Foods Research Center, China National Light Industry, Hangzhou 310014, China
- Correspondence: (R.H.); (P.S.)
| | - Peilong Sun
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
- Zhejiang Fangge Pharmaceutical Co., Ltd., Qingyuan 323800, China
- Key Laboratory of Food Macromolecular Resources Processing Technology Research, China National Light Industry, Hangzhou 310014, China
- Correspondence: (R.H.); (P.S.)
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15
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Yang S, Fan Z, Li J, Wang X, Lan Y, Yue B, He M, Zhang A, Li J. Assembly of novel microbial genomes from gut metagenomes of rhesus macaque ( Macaca mulatta). Gut Microbes 2023; 15:2188848. [PMID: 36922385 PMCID: PMC10026933 DOI: 10.1080/19490976.2023.2188848] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
Rhesus macaque (RM, Macaca mulatta), as an important model animal, commonly suffers from chronic diarrheal disease, challenging the breeding of RMs. Gut microbiomes play key roles in maintaining intestinal health of RMs. However, it is still unclear about more features of gut microbiome as responsible for intestinal health of RMs. In this study, we performed de novo assembly of metagenome-assembled genomes (MAGs) based on fecal metagenomes from chronic diarrheal RMs and asymptomatic individuals. In total of 731 non-redundant MAGs with at least 80% completeness were reconstructed in this study. More than 97% MAGs were novel genomes compared with more than 250,000 reference genomes. MAGs of Campylobacter and Helicobacteraceae from RM guts mainly carried flagella-associated virulence genes and chemotaxis-associated virulence genes, which might mediate motility and adhesion of bacteria. Comparing to MAGs of Campylobacter from humans, distributions and functions of these MAGs of Campylobacter from RMs exhibited significant differences. Most members of Bacteroidota, Spirochaetota, Helicobacteraceae, Lactobacillaceae and Anaerovibrio significantly decreased in guts of chronic diarrhea RMs. More than 92% MAGs in this study were not contained in 2,985 MAGs previously reported from other 22 non-human primates (NHPs), expanding the microbial diversity in guts of NHPs. The distributions and functions of gut microbiome were prominently influenced by host phylogeny of NHPs. Our results could help to more clearly understand about the diversity and function of RMs gut microbiome.
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Affiliation(s)
- Shengzhi Yang
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Zhenxin Fan
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jiawei Li
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Xinqi Wang
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Yue Lan
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Bisong Yue
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Miao He
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Anyun Zhang
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jing Li
- Key Laboratory of Bioresources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
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16
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Zhang Y, Zhang D, Bai X, Chen Y, Qiu Q, Shang X, Deng Y, Yang H, Fang X, Yang Z, Han L. The impact of Traditional Chinese Medicine on mouse gut microbiota abundances and interactions based on Granger causality and pathway analysis. Front Microbiol 2022; 13:980082. [PMID: 36439829 PMCID: PMC9692106 DOI: 10.3389/fmicb.2022.980082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/11/2022] [Indexed: 11/03/2023] Open
Abstract
Objectives The intestinal microbiota is essential in absorbing nutrients and defending against pathogens and is associated with various diseases, including obesity, type 2 diabetes, and hypertension. As an alternative medicine, Traditional Chinese Medicine (TCM) has long been used in disease treatment and healthcare, partly because it may mediate gut microbiota. However, the specific effects of TCM on the abundance and interactions of microbiota remain unknown. Moreover, using TCM ingredients and data detailing changes in the abundance of gut microorganisms, we developed bioinformatic methods that decipher the impact of TCM on microorganism interactions. Methods The dynamics of gut microorganisms affected by TCM treatments is explored using a mouse model, which provided the abundance of 70 microorganisms over time. The Granger causality analysis was used to measure microorganism interactions. Novel "serial connection" and "diverging connection" models were used to identify molecular mechanisms underlying the impact of TCM on gut microorganism interactions, based on microorganism proteins, TCM chemical ingredients, and KEGG reaction equations. Results Codonopsis pilosula (Dangshen), Cassia twig (Gui Zhi), Radices saussureae (Mu Xiang), and Sijunzi Decoction did not cause an increase in the abundance of harmful microorganisms. Most TCMs decreased the abundance of Bifidobacterium pseudolongum, suggesting a Bifidobacterium pseudolongum supplement should be used during TCM treatment. The Granger causality analysis indicated that TCM treatment changes more than half the interactions between the 70 microorganisms, and "serial connection" and "diverging connection" models suggested that changes in interactions may be related to the reaction number connecting species proteins and TCM ingredients. From a species diversity perspective, a TCM decoction is better than a single herb for healthcare. The Sijunzi Decoction only significantly increased the abundance of Bifidobacterium pseudolongum and did not cause a decrease in the abundance of other species but was found to improve the alpha diversity with the lowest replacement rate. Conclusions Because most of the nine TCMs are medicinal and edible plants, we expect the methods and results presented can be used to optimize and integrate microbiota and TCMs into healthcare processes. Moreover, as a control study, these results can be combined with future disease mouse models to link variations in species abundance with particular diseases.
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Affiliation(s)
- Yi Zhang
- Department of Scientific Research, Kangmeihuada GeneTech Co., Ltd., (KMHD), Shenzhen, China
- Department of Mathematics of Science College/Hebei Province Key Laboratory of Molecular Chemistry for Drug, Hebei University of Science and Technology, Shijiazhuang, China
| | - Dahan Zhang
- Department of Scientific Research, Kangmeihuada GeneTech Co., Ltd., (KMHD), Shenzhen, China
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xiaogang Bai
- Department of Scientific Research, Kangmeihuada GeneTech Co., Ltd., (KMHD), Shenzhen, China
- Department of Mathematics of Science College/Hebei Province Key Laboratory of Molecular Chemistry for Drug, Hebei University of Science and Technology, Shijiazhuang, China
| | - Yang Chen
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Qinwei Qiu
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoxiao Shang
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yusheng Deng
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hongyan Yang
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaodong Fang
- Department of Scientific Research, Kangmeihuada GeneTech Co., Ltd., (KMHD), Shenzhen, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhimin Yang
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lijuan Han
- Department of Scientific Research, Kangmeihuada GeneTech Co., Ltd., (KMHD), Shenzhen, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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17
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Enhanced cultured diversity of the mouse gut microbiota enables custom-made synthetic communities. Cell Host Microbe 2022; 30:1630-1645.e25. [DOI: 10.1016/j.chom.2022.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/30/2022] [Accepted: 09/13/2022] [Indexed: 12/26/2022]
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18
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Luo X, Song Y, Cao Z, Qin Z, Dessie W, He N, Wang Z, Tan Y. Evaluation of the antimicrobial activities and mechanisms of synthetic antimicrobial peptide against food-borne pathogens. FOOD BIOSCI 2022. [DOI: 10.1016/j.fbio.2022.101903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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19
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Yin J, Chen X, Li X, Kang G, Wang P, Song Y, Ijaz UZ, Yin H, Huang H. A droplet-based microfluidic approach to isolating functional bacteria from gut microbiota. Front Cell Infect Microbiol 2022; 12:920986. [PMID: 36061857 PMCID: PMC9433703 DOI: 10.3389/fcimb.2022.920986] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 08/01/2022] [Indexed: 12/05/2022] Open
Abstract
Metabolic interactions within gut microbiota play a vital role in human health and disease. Targeting metabolically interacting bacteria could provide effective treatments; however, obtaining functional bacteria remains a significant challenge due to the complexity of gut microbiota. Here, we developed a facile droplet-based approach to isolate and enrich functional gut bacteria that could utilize metabolites from an engineered butyrate-producing bacteria (EBPB) of anti-obesity potential. This involves the high throughput formation of single-bacteria droplets, followed by culturing “droplets” on agar plates to form discrete single-cell colonies. This approach eliminates the need for sophisticated s instruments to sort droplets and thus allows the operation hosted in a traditional anaerobic chamber. In comparison to the traditional culture, the droplet-based approach obtained a community of substantially higher diversity and evenness. Using the conditioned plates containing metabolites from the EBPB supernatant, we obtained gut bacteria closely associated or interacting with the EBPB. These include anaerobic Lactobacillus and Bifidobacterium, which are often used as probiotics. The study illustrates the potential of our approach in the search for the associated bacteria within the gut microbiota and retrieving those yet-to-be cultured.
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Affiliation(s)
- Jianan Yin
- Key Laboratory of Systems Bioengineering (Ministry of Education), Frontiers Science Center for Synthetic Biology, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Xiuzhao Chen
- Key Laboratory of Systems Bioengineering (Ministry of Education), Frontiers Science Center for Synthetic Biology, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Xiaobo Li
- New Technology R & D Department, Tianjin Modern Innovative TCM Technology Co. Ltd., Tianjin, China
| | - Guangbo Kang
- Key Laboratory of Systems Bioengineering (Ministry of Education), Frontiers Science Center for Synthetic Biology, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
- Institute of Shaoxing, Tianjin University, Zhejiang, China
| | - Ping Wang
- New Technology R & D Department, Tianjin Modern Innovative TCM Technology Co. Ltd., Tianjin, China
| | - Yanqing Song
- James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Umer Zeeshan Ijaz
- James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Huabing Yin
- James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom
- *Correspondence: Huabing Yin, ; He Huang,
| | - He Huang
- Key Laboratory of Systems Bioengineering (Ministry of Education), Frontiers Science Center for Synthetic Biology, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
- *Correspondence: Huabing Yin, ; He Huang,
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20
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Kim H, Jeon S, Kim J, Seol D, Jo J, Cho S, Kim H. Investigation of memory-enhancing effects of Streptococcus thermophilus EG007 in mice and elucidating molecular and metagenomic characteristics using nanopore sequencing. Sci Rep 2022; 12:13274. [PMID: 35918353 PMCID: PMC9346115 DOI: 10.1038/s41598-022-14837-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 06/13/2022] [Indexed: 11/15/2022] Open
Abstract
Over the past decades, accumulating evidences have highlighted the gut microbiota as a key player in the brain functioning via microbiota–gut–brain axis, and accordingly, the beneficial role of several probiotic strains in cognitive ability also have been actively investigated. However, the majority of the research have demonstrated the effects against age-related cognitive decline or neurological disease. To this end, we aimed to investigate lactic acid bacteria strains having beneficial effects on the cognitive function of healthy young mice and elucidate underlying characteristics by carrying out nanopore sequencing-based genomics and metagenomics analysis. 8-week consumption of Streptococcus thermophilus EG007 demonstrated marked enhancements in behavior tests assessing short-term spatial and non-spatial learning and memory. It was revealed that EG007 possessed genes encoding various metabolites beneficial for a health condition in many aspects, including gamma-aminobutyric acid producing system, a neurotransmitter associated with mood and stress response. Also, by utilizing 16S–23S rRNA operon as a taxonomic marker, we identified more accurate species-level compositional changes in gut microbiota, which was increase of certain species, previously reported to have associations with mental health or down-regulation of inflammation or infection-related species. Moreover, correlation analysis revealed that the EG007-mediated altered microbiota had a significant correlation with the memory traits.
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Affiliation(s)
- Hyaekang Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Soomin Jeon
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Jina Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Donghyeok Seol
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.,eGnome, Inc, Seoul, Republic of Korea
| | - JinChul Jo
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Seoae Cho
- eGnome, Inc, Seoul, Republic of Korea
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. .,eGnome, Inc, Seoul, Republic of Korea.
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21
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Killinger BJ, Whidbey C, Sadler NC, DeLeon AJ, Munoz N, Kim YM, Wright AT. Activity-based protein profiling identifies alternating activation of enzymes involved in the bifidobacterium shunt pathway or mucin degradation in the gut microbiome response to soluble dietary fiber. NPJ Biofilms Microbiomes 2022; 8:60. [PMID: 35858888 PMCID: PMC9300575 DOI: 10.1038/s41522-022-00313-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 06/14/2022] [Indexed: 02/07/2023] Open
Abstract
While deprivation of dietary fiber has been associated with adverse health outcomes, investigations concerning the effect of dietary fiber on the gut microbiome have been largely limited to compositional sequence-based analyses or utilize a defined microbiota not native to the host. To extend understanding of the microbiome's functional response to dietary fiber deprivation beyond correlative evidence from sequence-based analyses, approaches capable of measuring functional enzymatic activity are needed. In this study, we use an activity-based protein profiling (ABPP) approach to identify sugar metabolizing and transport proteins in native mouse gut microbiomes that respond with differential activity to the deprivation or supplementation of the soluble dietary fibers inulin and pectin. We found that the microbiome of mice subjected to a high fiber diet high in soluble fiber had increased functional activity of multiple proteins, including glycoside hydrolases, polysaccharide lyases, and sugar transport proteins from diverse taxa. The results point to an increase in activity of the Bifidobacterium shunt metabolic pathway in the microbiome of mice fed high fiber diets. In those subjected to a low fiber diet, we identified a shift from the degradation of dietary fibers to that of gut mucins, in particular by the recently isolated taxon "Musculibacterium intestinale", which experienced dramatic growth in response to fiber deprivation. When combined with metabolomics and shotgun metagenomics analyses, our findings provide a functional investigation of dietary fiber metabolism in the gut microbiome and demonstrates the power of a combined ABPP-multiomics approach for characterizing the response of the gut microbiome to perturbations.
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Affiliation(s)
- Bryan J Killinger
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, 99163, USA
| | - Christopher Whidbey
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
- Chemistry Department, Seattle University, Seattle, WA, 98122, USA
| | - Natalie C Sadler
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Adrian J DeLeon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Nathalie Munoz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Young-Mo Kim
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA
| | - Aaron T Wright
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, 99163, USA.
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22
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Li D, Liu C, Abuduaini R, Du M, Wang Y, Zhu H, Chen H, Zhou N, Xin Y, Wu L, Ma J, Zhou Y, Lu Y, Jiang C, Sun Q, Liu S. The monkey microbial biobank brings previously uncultivated bioresources for nonhuman primate and human gut microbiomes. MLIFE 2022; 1:210-217. [PMID: 38817672 PMCID: PMC10989993 DOI: 10.1002/mlf2.12017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/28/2022] [Accepted: 02/19/2022] [Indexed: 06/01/2024]
Abstract
Nonhuman primates (NHPs) such as monkeys are the closest living relatives to humans and are the best available models for causative studies of human health and diseases. Gut microbiomes are intensively involved in host health. In this study, by large-scale cultivation of microbes from fecal samples of monkeys, we obtained previously uncultured bacterial species and constructed a Macaca fascicularis Gut Microbial Biobank (MfGMB). The MfGMB consisted of 250 strains that represent 97 species of 63 genera, 25 families, and 4 phyla. The information of the 250 strains and the genomes of 97 cultured species are publicly accessible. The MfGMB represented nearly 50% of core gut microbial compositions at the genus level and covered over 80% of the KO-based known gut microbiome functions of M. fascicularis. Data mining showed that the bacterial species in the MfGMB were prevalent not only in NHPs gut microbiomes but also in human gut microbiomes. This study will help the understanding and future investigations on how gut microbiomes interact with their mammalian hosts.
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Affiliation(s)
- Danhua Li
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Chang Liu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Rexiding Abuduaini
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- College of Life ScienceUniversity of Chinese Academy of SciencesBeijingChina
| | - Mengxuan Du
- State Key Laboratory of Microbial BiotechnologyShandong UniversityQingdaoChina
| | - Yujing Wang
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- College of Life ScienceUniversity of Chinese Academy of SciencesBeijingChina
| | - Haizhen Zhu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Honghe Chen
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Nan Zhou
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Yuhua Xin
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- China General Microorganism Culture Collection, Institute of Microbiology, Chinese Academy of SciencesBeijingChina
| | - Linhuan Wu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of NeuroscienceShanghaiChina
| | - Juncai Ma
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of NeuroscienceShanghaiChina
| | - Yuguang Zhou
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- China General Microorganism Culture Collection, Institute of Microbiology, Chinese Academy of SciencesBeijingChina
| | - Yong Lu
- Microbial Resources and Big Data Center, Institute of Microbiology, Chinese Academy of SciencesBeijingChina
| | - Chengying Jiang
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- Microbial Resources and Big Data Center, Institute of Microbiology, Chinese Academy of SciencesBeijingChina
| | - Qiang Sun
- Microbial Resources and Big Data Center, Institute of Microbiology, Chinese Academy of SciencesBeijingChina
| | - Shuang‐Jiang Liu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- College of Life ScienceUniversity of Chinese Academy of SciencesBeijingChina
- State Key Laboratory of Microbial BiotechnologyShandong UniversityQingdaoChina
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23
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Wong EOY, Brownlie EJE, Ng KM, Kathirgamanathan S, Yu FB, Merrill BD, Huang KC, Martin A, Tropini C, Navarre WW. The CIAMIB: a Large and Metabolically Diverse Collection of Inflammation-Associated Bacteria from the Murine Gut. mBio 2022; 13:e0294921. [PMID: 35266814 PMCID: PMC9040815 DOI: 10.1128/mbio.02949-21] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/09/2022] [Indexed: 02/07/2023] Open
Abstract
Gut inflammation directly impacts the growth and stability of commensal gut microbes and can lead to long-lasting changes in microbiota composition that can prolong or exacerbate disease states. While mouse models are used extensively to investigate the interplay between microbes and the inflamed state, the paucity of cultured mouse gut microbes has hindered efforts to determine causal relationships. To address this issue, we are assembling the Collection of Inflammation-Associated Mouse Intestinal Bacteria (CIAMIB). The initial release of this collection comprises 41 isolates of 39 unique bacterial species, covering 4 phyla and containing 10 previously uncultivated isolates, including 1 novel family and 7 novel genera. The collection significantly expands the number of available Muribaculaceae, Lachnospiraceae, and Coriobacteriaceae isolates and includes microbes from genera associated with inflammation, such as Prevotella and Klebsiella. We characterized the growth of CIAMIB isolates across a diverse range of nutritional conditions and predicted their metabolic potential and anaerobic fermentation capacity based on the genomes of these isolates. We also provide the first metabolic analysis of species within the genus Adlercreutzia, revealing these representatives to be nitrate-reducing and severely restricted in their ability to grow on carbohydrates. CIAMIB isolates are fully sequenced and available to the scientific community as a powerful tool to study host-microbiota interactions. IMPORTANCE Attempts to explore the role of the microbiota in animal physiology have resulted in large-scale efforts to cultivate the thousands of microbes that are associated with humans. In contrast, relatively few lab mouse-associated bacteria have been isolated, despite the fact that the overwhelming number of studies on the microbiota use laboratory mice that are colonized with microbes that are quite distinct from those in humans. Here, we report the results of a large-scale isolation of bacteria from the intestines of laboratory mice either prone to or suffering from gut inflammation. This collection comprises dozens of novel isolates, many of which represent the only cultured representatives of their genus or species. We report their basic growth characteristics and genomes and are making them widely available to the greater research community.
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Affiliation(s)
- Erin Oi-Yan Wong
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | | | - Katharine Michelle Ng
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada
| | | | | | - Bryan D. Merrill
- Department of Microbiology and Immunology, Stanford University of School of Medicine, Stanford, California, USA
| | - Kerwyn Casey Huang
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Department of Microbiology and Immunology, Stanford University of School of Medicine, Stanford, California, USA
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Alberto Martin
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Carolina Tropini
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada
- Humans and the Microbiome Program, Canadian Institute for Advanced Research, Toronto, Canada
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24
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Forster SC, Clare S, Beresford-Jones BS, Harcourt K, Notley G, Stares MD, Kumar N, Soderholm AT, Adoum A, Wong H, Morón B, Brandt C, Dougan G, Adams DJ, Maloy KJ, Pedicord VA, Lawley TD. Identification of gut microbial species linked with disease variability in a widely used mouse model of colitis. Nat Microbiol 2022; 7:590-599. [PMID: 35365791 PMCID: PMC8975739 DOI: 10.1038/s41564-022-01094-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 02/24/2022] [Indexed: 12/12/2022]
Abstract
Experimental mouse models are central to basic biomedical research; however, variability exists across genetically identical mice and mouse facilities making comparisons difficult. Whether specific indigenous gut bacteria drive immunophenotypic variability in mouse models of human disease remains poorly understood. We performed a large-scale experiment using 579 genetically identical laboratory mice from a single animal facility, designed to identify the causes of disease variability in the widely used dextran sulphate sodium mouse model of inflammatory bowel disease. Commonly used treatment endpoint measures-weight loss and intestinal pathology-showed limited correlation and varied across mouse lineages. Analysis of the gut microbiome, coupled with machine learning and targeted anaerobic culturing, identified and isolated two previously undescribed species, Duncaniella muricolitica and Alistipes okayasuensis, and demonstrated that they exert dominant effects in the dextran sulphate sodium model leading to variable treatment endpoint measures. We show that the identified gut microbial species are common, but not ubiquitous, in mouse facilities around the world, and suggest that researchers monitor for these species to provide experimental design opportunities for improved mouse models of human intestinal diseases.
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Affiliation(s)
- Samuel C Forster
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, Victoria, Australia
- Department of Molecular and Translational Sciences, Monash University, Clayton, Victoria, Australia
| | - Simon Clare
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - Benjamin S Beresford-Jones
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Katherine Harcourt
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - George Notley
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - Mark D Stares
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - Nitin Kumar
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - Amelia T Soderholm
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anne Adoum
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | | | - Bélen Morón
- Experimental Medicine Division, University of Oxford, Oxford, UK
| | - Cordelia Brandt
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - Gordon Dougan
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - David J Adams
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK
| | - Kevin J Maloy
- Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
| | - Virginia A Pedicord
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Trevor D Lawley
- Experimental Cancer Genetics Lab, Wellcome Sanger Institute, Hinxton, UK.
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25
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Li DH, Abuduaini R, Du MX, Wang YJ, Chen HH, Zhou N, Zhu HZ, Lu Y, Yu PJ, Yang YP, Jiang CY, Sun Q, Liu C, Liu SJ. Alkaliphilus flagellatus sp. nov., Butyricicoccus intestinisimiae sp. nov., Clostridium mobile sp. nov., Clostridium simiarum sp. nov., Dysosmobacter acutus sp. nov., Paenibacillus brevis sp. nov., Peptoniphilus ovalis sp. nov. and Tissierella simiarum sp. nov., isolated from monkey faeces. Int J Syst Evol Microbiol 2022; 72. [PMID: 35258450 PMCID: PMC9558573 DOI: 10.1099/ijsem.0.005276] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Non-human primates harbour diverse microbiomes in their guts. As a part of the China Microbiome Initiatives, we cultivated and characterized the gut microbiome of cynomolgus monkeys (Macaca fascicularis). In this report, we communicate the characterization and taxonomy of eight bacterial strains that were obtained from faecal samples of captive cynomolgus monkeys. The results revealed that they represented eight novel bacterial species. The proposed names of the eight novel species are Alkaliphilus flagellatus (type strain MSJ-5T=CGMCC 1.45007T=KCTC 15974T), Butyricicoccus intestinisimiae MSJd-7T (MSJd-7T=CGMCC 1.45013T=KCTC 25112T), Clostridium mobile (MSJ-11T=CGMCC 1.45009T=KCTC 25065T), Clostridium simiarum (MSJ-4T=CGMCC 1.45006T=KCTC 15975T), Dysosmobacter acutus (MSJ-2T=CGMCC 1.32896T=KCTC 15976T), Paenibacillus brevis MSJ-6T (MSJ-6T=CGMCC 1.45008T=KCTC 15973T), Peptoniphilus ovalis (MSJ-1T=CGMCC 1.31770T=KCTC 15977T) and Tissierella simiarum (MSJ-40T=CGMCC 1.45012T=KCTC 25071T).
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Affiliation(s)
- Dan-Hua Li
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Rexiding Abuduaini
- University of Chinese Academy of Sciences, Beijing 100049, PR China
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Meng-Xuan Du
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Yu-Jing Wang
- University of Chinese Academy of Sciences, Beijing 100049, PR China
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Hong-He Chen
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Nan Zhou
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Hai-Zhen Zhu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Yong Lu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, 200031, Shanghai, PR China
| | - Pei-Jun Yu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, 200031, Shanghai, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Yun-Peng Yang
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, 200031, Shanghai, PR China
| | - Cheng-Ying Jiang
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, 200031, Shanghai, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Qiang Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, 200031, Shanghai, PR China
| | - Chang Liu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Shuang-Jiang Liu
- State Key Laboratory of Microbial Resources and Environmental Microbiology Research Center at Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China
- State Key Laboratory of Microbial Biotechnology, Shandong University, Qingdao 266237, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
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26
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Comprehensive mouse microbiota genome catalog reveals major difference to its human counterpart. PLoS Comput Biol 2022; 18:e1009947. [PMID: 35259160 PMCID: PMC8932566 DOI: 10.1371/journal.pcbi.1009947] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 03/18/2022] [Accepted: 02/21/2022] [Indexed: 02/07/2023] Open
Abstract
Mouse is the most used model for studying the impact of microbiota on its host, but the repertoire of species from the mouse gut microbiome remains largely unknown. Accordingly, the similarity between human and mouse microbiomes at a low taxonomic level is not clear. We construct a comprehensive mouse microbiota genome (CMMG) catalog by assembling all currently available mouse gut metagenomes and combining them with published reference and metagenome-assembled genomes. The 41’798 genomes cluster into 1’573 species, of which 78.1% are uncultured, and we discovered 226 new genera, seven new families, and one new order. CMMG enables an unprecedented coverage of the mouse gut microbiome exceeding 86%, increases the mapping rate over four-fold, and allows functional microbiota analyses of human and mouse linking them to the driver species. Comparing CMMG to microbiota from the unified human gastrointestinal genomes shows an overlap of 62% at the genus but only 10% at the species level, demonstrating that human and mouse gut microbiota are largely distinct. CMMG contains the most comprehensive collection of consistently functionally annotated species of the mouse and human microbiome to date, setting the ground for analysis of new and reanalysis of existing datasets at an unprecedented depth. The microbiome plays an indispensable role in our health. Metagenomics enables valuable insights into the composition and functional potential of microbial populations. The analysis of metagenomic data is complex and depends on the availability of reference genomes. The mouse is the most used model for studying the impact of microbiota on its host. However, the microbial species living in the mouse gut remain poorly characterized. We created a comprehensive catalog of all bacterial species commonly living in the gut of laboratory mice by analyzing all publicly available metagenomes from the mouse gut. We collected almost 42 thousand bacterial genomes from 1’573 species, of which 78.1% are uncultured. Our catalog effectively answers the need for a genome reference for this microbiome and allows efficient analysis of mouse gut metagenomes down to the species level. We discovered that mice and humans harbor a largely distinct set of species in their gastrointestinal tracts, a hereto unfeasible analysis.
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27
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Galaris A, Fanidis D, Stylianaki EA, Harokopos V, Kalantzi AS, Moulos P, Dimas AS, Hatzis P, Aidinis V. Obesity Reshapes the Microbial Population Structure along the Gut-Liver-Lung Axis in Mice. Biomedicines 2022; 10:biomedicines10020494. [PMID: 35203702 PMCID: PMC8962327 DOI: 10.3390/biomedicines10020494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/11/2022] [Accepted: 02/17/2022] [Indexed: 11/16/2022] Open
Abstract
The microbiome is emerging as a major player in tissue homeostasis in health and disease. Gut microbiome dysbiosis correlates with several autoimmune and metabolic diseases, while high-fat diets and ensuing obesity are known to affect the complexity and diversity of the microbiome, thus modulating pathophysiology. Moreover, the existence of a gut-liver microbial axis has been proposed, which may extend to the lung. In this context, we systematically compared the microbiomes of the gut, liver, and lung of mice fed a high-fat diet to those of littermates fed a matched control diet. We carried out deep sequencing of seven hypervariable regions of the 16S rRNA microbial gene to examine microbial diversity in the tissues of interest. Comparison of the local microbiomes indicated that lung tissue has the least diverse microbiome under healthy conditions, while microbial diversity in the healthy liver clustered closer to the gut. Obesity increased microbial complexity in all three tissues, with lung microbial diversity being the most modified. Obesity promoted the expansion of Firmicutes along the gut-liver-lung axis, highlighting staphylococcus as a possible pathologic link between obesity and systemic pathophysiology, especially in the lungs.
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Affiliation(s)
- Apostolos Galaris
- Institute of Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (A.G.); (D.F.); (E.-A.S.); (A.-S.K.); (A.S.D.)
| | - Dionysios Fanidis
- Institute of Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (A.G.); (D.F.); (E.-A.S.); (A.-S.K.); (A.S.D.)
| | - Elli-Anna Stylianaki
- Institute of Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (A.G.); (D.F.); (E.-A.S.); (A.-S.K.); (A.S.D.)
| | - Vaggelis Harokopos
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (V.H.); (P.M.); (P.H.)
| | - Alexandra-Styliani Kalantzi
- Institute of Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (A.G.); (D.F.); (E.-A.S.); (A.-S.K.); (A.S.D.)
| | - Panagiotis Moulos
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (V.H.); (P.M.); (P.H.)
| | - Antigone S. Dimas
- Institute of Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (A.G.); (D.F.); (E.-A.S.); (A.-S.K.); (A.S.D.)
| | - Pantelis Hatzis
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (V.H.); (P.M.); (P.H.)
| | - Vassilis Aidinis
- Institute of Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, 16672 Athens, Greece; (A.G.); (D.F.); (E.-A.S.); (A.-S.K.); (A.S.D.)
- Correspondence:
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28
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The enriched gut commensal Faeciroseburia intestinalis contributes to the anti-metabolic disorders effects of the Ganoderma meroterpene derivative. FOOD SCIENCE AND HUMAN WELLNESS 2022. [DOI: 10.1016/j.fshw.2021.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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29
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Goldman SL, Sanders JG, Yan W, Denice A, Cornwall M, Ivey KN, Taylor EN, Gunderson AR, Sheehan MJ, Mjungu D, Lonsdorf EV, Pusey AE, Hahn BH, Moeller AH. Culture-enriched community profiling improves resolution of the vertebrate gut microbiota. Mol Ecol Resour 2022; 22:122-136. [PMID: 34174174 PMCID: PMC8688194 DOI: 10.1111/1755-0998.13456] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 06/13/2021] [Accepted: 06/17/2021] [Indexed: 01/03/2023]
Abstract
Vertebrates harbour gut microbial communities containing hundreds of bacterial species, most of which have never been cultivated or isolated in the laboratory. The lack of cultured representatives from vertebrate gut microbiotas limits the description and experimental interrogation of these communities. Here, we show that representatives from >50% of the bacterial genera detected by culture-independent sequencing in the gut microbiotas of fence lizards, house mice, chimpanzees, and humans were recovered in mixed cultures from frozen faecal samples plated on a panel of nine media under a single growth condition. In addition, culturing captured >100 rare bacterial genera overlooked by culture-independent sequencing, more than doubling the total number of bacterial sequence variants detected. Our approach recovered representatives from 23 previously uncultured candidate bacterial genera, 12 of which were not detected by culture-independent sequencing. Results identified strategies for both indiscriminate and selective culturing of the gut microbiota that were reproducible across vertebrate species. Isolation followed by whole-genome sequencing of 161 bacterial colonies from wild chimpanzees enabled the discovery of candidate novel species closely related to the opportunistic pathogens of humans Clostridium difficile and Hungatella hathewayi. This study establishes culturing methods that improve inventories and facilitate isolation of gut microbiota constituents from a wide diversity of vertebrate species.
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Affiliation(s)
- Samantha L. Goldman
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850, USA
| | - Jon G. Sanders
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850, USA
- Cornell Institute of Host-Microbe Interactions and Disease, Cornell University, Ithaca, NY 14850, USA
| | - Weiwei Yan
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850, USA
| | - Anthony Denice
- Project Chimps, Morganton, GA 30560, USA
- Present address: Chimpanzee Sanctuary Northwest, Cle Elum, WA 98922, USA
| | - Margaret Cornwall
- Biological Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Kathleen N. Ivey
- Biological Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
- Present address: Department of Biology, University of Texas, Arlington, TX 76019, USA
| | - Emily N. Taylor
- Biological Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Alex R. Gunderson
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA 70118, USA
| | - Michael J. Sheehan
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14850, USA
| | | | - Elizabeth V. Lonsdorf
- Department of Psychology and Biological Foundations of Behavior Program, LSP 261B, Franklin and Marshall College, Lancaster, PA 17603, USA
| | - Anne E. Pusey
- Department of Evolutionary Anthropology, 101 Biological Sciences Building, Duke University, Durham, NC 27708, USA
| | - Beatrice H. Hahn
- Departments of Medicine and Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Andrew H. Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14850, USA
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30
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TrpNet: Understanding Tryptophan Metabolism across Gut Microbiome. Metabolites 2021; 12:metabo12010010. [PMID: 35050132 PMCID: PMC8777792 DOI: 10.3390/metabo12010010] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 12/12/2022] Open
Abstract
Crosstalk between the gut microbiome and the host plays an important role in animal development and health. Small compounds are key mediators in this host–gut microbiome dialogue. For instance, tryptophan metabolites, generated by biotransformation of tryptophan through complex host–microbiome co-metabolism can trigger immune, metabolic, and neuronal effects at local and distant sites. However, the origin of tryptophan metabolites and the underlying tryptophan metabolic pathway(s) are not well characterized in the current literature. A large number of the microbial contributors of tryptophan metabolism remain unknown, and there is a growing interest in predicting tryptophan metabolites for a given microbiome. Here, we introduce TrpNet, a comprehensive database and analytics platform dedicated to tryptophan metabolism within the context of host (human and mouse) and gut microbiome interactions. TrpNet contains data on tryptophan metabolism involving 130 reactions, 108 metabolites and 91 enzymes across 1246 human gut bacterial species and 88 mouse gut bacterial species. Users can browse, search, and highlight the tryptophan metabolic pathway, as well as predict tryptophan metabolites on the basis of a given taxonomy profile using a Bayesian logistic regression model. We validated our approach using two gut microbiome metabolomics studies and demonstrated that TrpNet was able to better predict alterations in in indole derivatives compared to other established methods.
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31
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Mazzucco R, Schlötterer C. Long-term gut microbiome dynamics in Drosophila melanogaster reveal environment-specific associations between bacterial taxa at the family level. Proc Biol Sci 2021; 288:20212193. [PMID: 34905708 PMCID: PMC8670958 DOI: 10.1098/rspb.2021.2193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The influence of the microbiome on its host is well-documented, but the interplay of its members is not yet well-understood. Even for simple microbiomes, the interaction among members of the microbiome is difficult to study. Longitudinal studies provide a promising approach to studying such interactions through the temporal covariation of different taxonomic units. By contrast to most longitudinal studies, which span only a single host generation, we here present a post hoc analysis of a whole-genome dataset of 81 samples that follows microbiome composition for up to 180 host generations, which cover nearly 10 years. The microbiome diversity remained rather stable in replicated Drosophila melanogaster populations exposed to two different temperature regimes. The composition changed, however, systematically across replicates of the two temperature regimes. Significant associations between families, mostly specific to one temperature regime, indicate functional interdependence of different microbiome components. These associations also involve moderately abundant families, which emphasizes their functional importance, and highlights the importance of looking beyond the common constituents of the Drosophila microbiome.
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Affiliation(s)
- Rupert Mazzucco
- Institut für Populationsgenetik, Veterinärmedizinische Universität Wien, Veterinärplatz 1, Wien 1210, Austria
| | - Christian Schlötterer
- Institut für Populationsgenetik, Veterinärmedizinische Universität Wien, Veterinärplatz 1, Wien 1210, Austria
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32
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Beresford-Jones BS, Forster SC, Stares MD, Notley G, Viciani E, Browne HP, Boehmler DJ, Soderholm AT, Kumar N, Vervier K, Cross JR, Almeida A, Lawley TD, Pedicord VA. The Mouse Gastrointestinal Bacteria Catalogue enables translation between the mouse and human gut microbiotas via functional mapping. Cell Host Microbe 2021; 30:124-138.e8. [PMID: 34971560 PMCID: PMC8763404 DOI: 10.1016/j.chom.2021.12.003] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/05/2021] [Accepted: 11/30/2021] [Indexed: 12/12/2022]
Abstract
Human health and disease have increasingly been shown to be impacted by the gut microbiota, and mouse models are essential for investigating these effects. However, the compositions of human and mouse gut microbiotas are distinct, limiting translation of microbiota research between these hosts. To address this, we constructed the Mouse Gastrointestinal Bacteria Catalogue (MGBC), a repository of 26,640 high-quality mouse microbiota-derived bacterial genomes. This catalog enables species-level analyses for mapping functions of interest and identifying functionally equivalent taxa between the microbiotas of humans and mice. We have complemented this with a publicly deposited collection of 223 bacterial isolates, including 62 previously uncultured species, to facilitate experimental investigation of individual commensal bacteria functions in vitro and in vivo. Together, these resources provide the ability to identify and test functionally equivalent members of the host-specific gut microbiotas of humans and mice and support the informed use of mouse models in human microbiota research.
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Affiliation(s)
- Benjamin S Beresford-Jones
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, Cambridge, UK; Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Mark D Stares
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - George Notley
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Elisa Viciani
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Hilary P Browne
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Daniel J Boehmler
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amelia T Soderholm
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, Cambridge, UK; Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Nitin Kumar
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Kevin Vervier
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Justin R Cross
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandre Almeida
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK; European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus, Hinxton, UK
| | - Trevor D Lawley
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
| | - Virginia A Pedicord
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, Cambridge, UK; Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.
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33
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Yan Q, Zhang S, Li S, Wang G, Zhang A, Jin T, Zhang Y, Lv Q, Xiao M, Sun Y, Li X, Cui S, Li R, Ma X, Wang C, Tian X, Duan X, Xin Y, Mao X, Ma Y. Cultivation and Genomic Characterization of the Bile Bacterial Species From Cholecystitis Patients. Front Microbiol 2021; 12:739621. [PMID: 34790179 PMCID: PMC8591784 DOI: 10.3389/fmicb.2021.739621] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 10/07/2021] [Indexed: 12/18/2022] Open
Abstract
The microbes in human bile are closely related to gallbladder health and other potential disorders. Although the bile microbial community has been investigated by recent studies using amplicon or metagenomic sequencing technologies, the genomic information of the microbial species resident in bile is rarely reported. Herein, we isolated 138 bacterial colonies from the fresh bile specimens of four cholecystitis patients using a culturome approach and genomically characterized 35 non-redundant strains using whole-genome shotgun sequencing. The bile bacterial isolates spanned 3 classes, 6 orders, 10 families, and 14 genera, of which the members of Enterococcus, Escherichia-Shigella, Lysinibacillus, and Enterobacter frequently appeared. Genomic analysis identified three species, including Providencia sp. D135, Psychrobacter sp. D093, and Vibrio sp. D074, which are not represented in existing reference genome databases. Based on the genome data, the functional capacity between bile and gut isolates was compared. The bile strains encoded 5,488 KEGG orthologs, of which 4.9% were specific to the gut strains, including the enzymes involved in biofilm formation, two-component systems, and quorum-sensing pathways. A total of 472 antibiotic resistance genes (ARGs) were identified from the bile genomes including multidrug resistance proteins (42.6%), fluoroquinolone resistance proteins (12.3%), aminoglycoside resistance proteins (9.1%), and β-lactamase (7.2%). Moreover, in vitro experiments showed that some bile bacteria have the capabilities for bile salt deconjugation or biotransformation (of primary bile acids into secondary bile acids). Although the physiological or pathological significance of these bacteria needs further exploration, our works expanded knowledge about the genome, diversity, and function of human bile bacteria.
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Affiliation(s)
- Qiulong Yan
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.,Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Siyi Zhang
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | | | - Guangyang Wang
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.,Department of Biotechnology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | | | - Taiyang Jin
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Yue Zhang
- Puensum Genetech Institute, Wuhan, China
| | - Qingbo Lv
- Puensum Genetech Institute, Wuhan, China
| | - Manchun Xiao
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Yuanyuan Sun
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Xiang Li
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Song Cui
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Rui Li
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Xiaochi Ma
- College of Pharmacy, Dalian Medical University, Dalian, China
| | - Chao Wang
- College of Pharmacy, Dalian Medical University, Dalian, China
| | - Xiangge Tian
- College of Pharmacy, Dalian Medical University, Dalian, China
| | - Xiaohui Duan
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Yi Xin
- Department of Biotechnology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Xianhai Mao
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Yufang Ma
- Department of Microbiology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
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34
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Bowerman KL, Knowles SCL, Bradley JE, Baltrūnaitė L, Lynch MDJ, Jones KM, Hugenholtz P. Effects of laboratory domestication on the rodent gut microbiome. ISME COMMUNICATIONS 2021; 1:49. [PMID: 36747007 PMCID: PMC9723573 DOI: 10.1038/s43705-021-00053-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/22/2021] [Accepted: 09/03/2021] [Indexed: 05/01/2023]
Abstract
The domestication of the laboratory mouse has influenced the composition of its native gut microbiome, which is now known to differ from that of its wild ancestor. However, limited exploration of the rodent gut microbiome beyond the model species Mus musculus has made it difficult to interpret microbiome variation in a broader phylogenetic context. Here, we analyse 120 de novo and 469 public metagenomically-sequenced faecal and caecal samples from 16 rodent hosts representing wild, laboratory and captive lifestyles. Distinct gut bacterial communities were observed between rodent host genera, with broadly distributed species originating from the as-yet-uncultured bacterial genera UBA9475 and UBA2821 in the families Oscillospiraceae and Lachnospiraceae, respectively. In laboratory mice, Helicobacteraceae were generally depleted relative to wild mice and specific Muribaculaceae populations were enriched in different laboratory facilities, suggesting facility-specific outgrowths of this historically dominant rodent gut family. Several bacterial families of clinical interest, including Akkermansiaceae, Streptococcaceae and Enterobacteriaceae, were inferred to have gained over half of their representative species in mice within the laboratory environment, being undetected in most wild rodents and suggesting an association between laboratory domestication and pathobiont emergence.
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Affiliation(s)
- Kate L Bowerman
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia.
| | | | | | | | | | - Kathryn M Jones
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Philip Hugenholtz
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia.
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35
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Bubier JA, Chesler EJ, Weinstock GM. Host genetic control of gut microbiome composition. Mamm Genome 2021; 32:263-281. [PMID: 34159422 PMCID: PMC8295090 DOI: 10.1007/s00335-021-09884-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/07/2021] [Indexed: 02/07/2023]
Abstract
The gut microbiome plays a significant role in health and disease, and there is mounting evidence indicating that the microbial composition is regulated in part by host genetics. Heritability estimates for microbial abundance in mice and humans range from (0.05-0.45), indicating that 5-45% of inter-individual variation can be explained by genetics. Through twin studies, genetic association studies, systems genetics, and genome-wide association studies (GWAS), hundreds of specific host genetic loci have been shown to associate with the abundance of discrete gut microbes. Using genetically engineered knock-out mice, at least 30 specific genes have now been validated as having specific effects on the microbiome. The relationships among of host genetics, microbiome composition, and abundance, and disease is now beginning to be unraveled through experiments designed to test causality. The genetic control of disease and its relationship to the microbiome can manifest in multiple ways. First, a genetic variant may directly cause the disease phenotype, resulting in an altered microbiome as a consequence of the disease phenotype. Second, a genetic variant may alter gene expression in the host, which in turn alters the microbiome, producing the disease phenotype. Finally, the genetic variant may alter the microbiome directly, which can result in the disease phenotype. In order to understand the processes that underlie the onset and progression of certain diseases, future research must take into account the relationship among host genetics, microbiome, and disease phenotype, and the resources needed to study these relationships.
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Affiliation(s)
- Jason A Bubier
- The Jackson Laboratory for Mammalian Genetics, 600 Main Street, Bar Harbor, ME, 04609, USA.
| | - Elissa J Chesler
- The Jackson Laboratory for Mammalian Genetics, 600 Main Street, Bar Harbor, ME, 04609, USA
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36
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Karcher N, Nigro E, Punčochář M, Blanco-Míguez A, Ciciani M, Manghi P, Zolfo M, Cumbo F, Manara S, Golzato D, Cereseto A, Arumugam M, Bui TPN, Tytgat HLP, Valles-Colomer M, de Vos WM, Segata N. Genomic diversity and ecology of human-associated Akkermansia species in the gut microbiome revealed by extensive metagenomic assembly. Genome Biol 2021; 22:209. [PMID: 34261503 PMCID: PMC8278651 DOI: 10.1186/s13059-021-02427-7] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 06/30/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Akkermansia muciniphila is a human gut microbe with a key role in the physiology of the intestinal mucus layer and reported associations with decreased body mass and increased gut barrier function and health. Despite its biomedical relevance, the genomic diversity of A. muciniphila remains understudied and that of closely related species, except for A. glycaniphila, unexplored. RESULTS We present a large-scale population genomics analysis of the Akkermansia genus using 188 isolate genomes and 2226 genomes assembled from 18,600 metagenomes from humans and other animals. While we do not detect A. glycaniphila, the Akkermansia strains in the human gut can be grouped into five distinct candidate species, including A. muciniphila, that show remarkable whole-genome divergence despite surprisingly similar 16S rRNA gene sequences. These candidate species are likely human-specific, as they are detected in mice and non-human primates almost exclusively when kept in captivity. In humans, Akkermansia candidate species display ecological co-exclusion, diversified functional capabilities, and distinct patterns of associations with host body mass. Analysis of CRISPR-Cas loci reveals new variants and spacers targeting newly discovered putative bacteriophages. Remarkably, we observe an increased relative abundance of Akkermansia when cognate predicted bacteriophages are present, suggesting ecological interactions. A. muciniphila further exhibits subspecies-level genetic stratification with associated functional differences such as a putative exo/lipopolysaccharide operon. CONCLUSIONS We uncover a large phylogenetic and functional diversity of the Akkermansia genus in humans. This variability should be considered in the ongoing experimental and metagenomic efforts to characterize the health-associated properties of A. muciniphila and related bacteria.
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Affiliation(s)
| | - Eleonora Nigro
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | - Paolo Manghi
- Department CIBIO, University of Trento, Trento, Italy
| | - Moreno Zolfo
- Department CIBIO, University of Trento, Trento, Italy
| | - Fabio Cumbo
- Department CIBIO, University of Trento, Trento, Italy
| | - Serena Manara
- Department CIBIO, University of Trento, Trento, Italy
| | | | - Anna Cereseto
- Department CIBIO, University of Trento, Trento, Italy
| | - Manimozhiyan Arumugam
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thi Phuong Nam Bui
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Hanne L P Tytgat
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
- Current address: Nestlé Institute of Health Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland
| | | | - Willem M de Vos
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy.
- IEO, European Institute of Oncology IRCCS, Milan, Italy.
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Low A, Soh M, Miyake S, Aw VZJ, Feng J, Wong A, Seedorf H. Longitudinal Changes in Diet Cause Repeatable and Largely Reversible Shifts in Gut Microbial Communities of Laboratory Mice and Are Observed across Segments of the Entire Intestinal Tract. Int J Mol Sci 2021; 22:5981. [PMID: 34205981 PMCID: PMC8198505 DOI: 10.3390/ijms22115981] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 05/27/2021] [Accepted: 05/27/2021] [Indexed: 01/04/2023] Open
Abstract
Dietary changes are known to alter the composition of the gut microbiome. However, it is less understood how repeatable and reversible these changes are and how diet switches affect the microbiota in the various segments of the gastrointestinal tract. Here, a treatment group of conventionally raised laboratory mice is subjected to two periods of western diet (WD) interrupted by a period of standard diet (SD) of the same duration. Beta-diversity analyses show that diet-induced microbiota changes are largely reversible (q = 0.1501; PERMANOVA, weighted-UniFrac comparison of the treatment-SD group to the control-SD group) and repeatable (q = 0.032; PERMANOVA, weighted-UniFrac comparison of both WD treatments). Furthermore, we report that diet switches alter the gut microbiota composition along the length of the intestinal tract in a segment-specific manner, leading to gut segment-specific Firmicutes/Bacteroidota ratios. We identified prevalent and distinct Amplicon Sequencing Variants (ASVs), particularly in genera of the recently described Muribaculaceae, along the gut as well as ASVs that are differentially abundant between segments of treatment and control groups. Overall, this study provides insights into the reversibility of diet-induced microbiota changes and highlights the importance of expanding sampling efforts beyond the collections of fecal samples to characterize diet-dependent and segment-specific microbiome differences.
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Affiliation(s)
- Adrian Low
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
| | - Melissa Soh
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
| | - Sou Miyake
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
| | - Vanessa Zhi Jie Aw
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
| | - Jian Feng
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
| | - Adeline Wong
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
| | - Henning Seedorf
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.)
- Department of Biological Sciences, National University of Singapore, Singapore 117604, Singapore
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Liu C, Du MX, Abuduaini R, Yu HY, Li DH, Wang YJ, Zhou N, Jiang MZ, Niu PX, Han SS, Chen HH, Shi WY, Wu L, Xin YH, Ma J, Zhou Y, Jiang CY, Liu HW, Liu SJ. Enlightening the taxonomy darkness of human gut microbiomes with a cultured biobank. MICROBIOME 2021; 9:119. [PMID: 34020714 PMCID: PMC8140505 DOI: 10.1186/s40168-021-01064-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/30/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND In gut microbiome studies, the cultured gut microbial resource plays essential roles, such as helping to unravel gut microbial functions and host-microbe interactions. Although several major studies have been performed to elucidate the cultured human gut microbiota, up to 70% of the Unified Human Gastrointestinal Genome species have not been cultured to date. Large-scale gut microbial isolation and identification as well as availability to the public are imperative for gut microbial studies and further characterizing human gut microbial functions. RESULTS In this study, we constructed a human Gut Microbial Biobank (hGMB; homepage: hgmb.nmdc.cn ) through the cultivation of 10,558 isolates from 31 sample mixtures of 239 fresh fecal samples from healthy Chinese volunteers, and deposited 1170 strains representing 400 different species in culture collections of the International Depository Authority for long-term preservation and public access worldwide. Following the rules of the International Code of Nomenclature of Prokaryotes, 102 new species were characterized and denominated, while 28 new genera and 3 new families were proposed. hGMB represented over 80% of the common and dominant human gut microbial genera and species characterized from global human gut 16S rRNA gene amplicon data (n = 11,647) and cultured 24 "most-wanted" and "medium priority" taxa proposed by the Human Microbiome Project. We in total sequenced 115 genomes representing 102 novel taxa and 13 previously known species. Further in silico analysis revealed that the newly sequenced hGMB genomes represented 22 previously uncultured species in the Unified Human Gastrointestinal Genome (UHGG) and contributed 24 representatives of potentially "dark taxa" that had not been discovered by UHGG. The nonredundant gene catalogs generated from the hGMB genomes covered over 50% of the functionally known genes (KEGG orthologs) in the largest global human gut gene catalogs and approximately 10% of the "most wanted" functionally unknown proteins in the FUnkFams database. CONCLUSIONS A publicly accessible human Gut Microbial Biobank (hGMB) was established that contained 1170 strains and represents 400 human gut microbial species. hGMB expands the gut microbial resources and genomic repository by adding 102 novel species, 28 new genera, 3 new families, and 115 new genomes of human gut microbes. Video abstract.
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Affiliation(s)
- Chang Liu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China.
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China.
| | - Meng-Xuan Du
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
| | - Rexiding Abuduaini
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hai-Ying Yu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
| | - Dan-Hua Li
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Yu-Jing Wang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Nan Zhou
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Min-Zhi Jiang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
| | - Peng-Xia Niu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Shan-Shan Han
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
| | - Hong-He Chen
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Wen-Yu Shi
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Microbial Resources and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Linhuan Wu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Microbial Resources and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Yu-Hua Xin
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- China General Microorganism Culture Collection, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Juncai Ma
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Microbial Resources and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Yuguang Zhou
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- China General Microorganism Culture Collection, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Cheng-Ying Jiang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hong-Wei Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 1 Beichenxi Road, Chaoyang District, Beijing, 100101, China
| | - Shuang-Jiang Liu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, PR China.
- Environmental Microbiology Research Center, Institute of Microbiology, Chinese Academy of Sciences, No.1 Beichenxi Road, Chaoyang District, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Hitch TCA, Riedel T, Oren A, Overmann J, Lawley TD, Clavel T. Automated analysis of genomic sequences facilitates high-throughput and comprehensive description of bacteria. ISME COMMUNICATIONS 2021; 1:16. [PMID: 36732617 PMCID: PMC9723785 DOI: 10.1038/s43705-021-00017-z] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/21/2021] [Accepted: 05/04/2021] [Indexed: 02/05/2023]
Abstract
The study of microbial communities is hampered by the large fraction of still unknown bacteria. However, many of these species have been isolated, yet lack a validly published name or description. The validation of names for novel bacteria requires that the uniqueness of those taxa is demonstrated and their properties are described. The accepted format for this is the protologue, which can be time-consuming to create. Hence, many research fields in microbiology and biotechnology will greatly benefit from new approaches that reduce the workload and harmonise the generation of protologues.We have developed Protologger, a bioinformatic tool that automatically generates all the necessary readouts for writing a detailed protologue. By producing multiple taxonomic outputs, functional features and ecological analysis using the 16S rRNA gene and genome sequences from a single species, the time needed to gather the information for describing novel taxa is substantially reduced. The usefulness of Protologger was demonstrated by using three published isolate collections to describe 34 novel taxa, encompassing 17 novel species and 17 novel genera, including the automatic generation of ecologically and functionally relevant names. We also highlight the need to utilise multiple taxonomic delineation methods, as while inconsistencies between each method occur, a combined approach provides robust placement. Protologger is open source; all scripts and datasets are available, along with a webserver at www.protologger.de.
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Affiliation(s)
- Thomas C A Hitch
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany.
| | - Thomas Riedel
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Aharon Oren
- The Institute of Life Sciences, The Hebrew University of Jerusalem, The Edmond J. Safra Campus, Jerusalem, Israel
| | - Jörg Overmann
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
- Braunschweig University of Technology, Braunschweig, Germany
| | - Trevor D Lawley
- Host-Microbiota Interactions Laboratory, Wellcome Sanger Institute, Hinxton, UK
| | - Thomas Clavel
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany.
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Early-Life Immune System Maturation in Chickens Using a Synthetic Community of Cultured Gut Bacteria. mSystems 2021; 6:6/3/e01300-20. [PMID: 34006629 PMCID: PMC8269260 DOI: 10.1128/msystems.01300-20] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The gut microbiome is crucial for both maturation of the immune system and colonization resistance against enteric pathogens. Although chicken are important domesticated animals, the impact of their gut microbiome on the immune system is understudied. Therefore, we investigated the effect of microbiome-based interventions on host mucosal immune responses. Increased levels of IgA and IgY were observed in chickens exposed to maternal feces after hatching compared with strict hygienic conditions. This was accompanied by increased gut bacterial diversity as assessed by 16S rRNA gene amplicon sequencing. Cultivation work allowed the establishment of a collection of 43 bacterial species spanning 4 phyla and 19 families, including the first cultured members of 3 novel genera and 4 novel species that were taxonomically described. This resource is available at www.dsmz.de/chibac. A synthetic community consisting of nine phylogenetically diverse and dominant species from this collection was designed and found to be moderately efficient in boosting immunoglobulin levels when provided to chickens early in life. IMPORTANCE The immune system plays a crucial role in sustaining animal health. Its development is markedly influenced by early microbial colonization of the gastrointestinal tract. As chicken are fully dependent on environmental microbes after hatching, extensive hygienic measures in production facilities are detrimental to the microbiota, resulting in low colonization resistance against pathogens. To combat enteric infections, antibiotics are frequently used, which aggravates the issue by altering gut microbiota colonization. Intervention strategies based on cultured gut bacteria are proposed to influence immune responses in chicken.
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41
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Liu YX, Qin Y, Chen T, Lu M, Qian X, Guo X, Bai Y. A practical guide to amplicon and metagenomic analysis of microbiome data. Protein Cell 2021; 12:315-330. [PMID: 32394199 PMCID: PMC8106563 DOI: 10.1007/s13238-020-00724-8] [Citation(s) in RCA: 355] [Impact Index Per Article: 118.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 04/10/2020] [Indexed: 12/22/2022] Open
Abstract
Advances in high-throughput sequencing (HTS) have fostered rapid developments in the field of microbiome research, and massive microbiome datasets are now being generated. However, the diversity of software tools and the complexity of analysis pipelines make it difficult to access this field. Here, we systematically summarize the advantages and limitations of microbiome methods. Then, we recommend specific pipelines for amplicon and metagenomic analyses, and describe commonly-used software and databases, to help researchers select the appropriate tools. Furthermore, we introduce statistical and visualization methods suitable for microbiome analysis, including alpha- and beta-diversity, taxonomic composition, difference comparisons, correlation, networks, machine learning, evolution, source tracing, and common visualization styles to help researchers make informed choices. Finally, a step-by-step reproducible analysis guide is introduced. We hope this review will allow researchers to carry out data analysis more effectively and to quickly select the appropriate tools in order to efficiently mine the biological significance behind the data.
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Affiliation(s)
- Yong-Xin Liu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yuan Qin
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tong Chen
- National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Meiping Lu
- Department of Rheumatology Immunology & Allergy, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310053, China
| | - Xubo Qian
- Department of Rheumatology Immunology & Allergy, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310053, China
| | - Xiaoxuan Guo
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yang Bai
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Yang J, Chun J. Taxonomic composition and variation in the gut microbiota of laboratory mice. Mamm Genome 2021; 32:297-310. [PMID: 33893864 DOI: 10.1007/s00335-021-09871-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 04/10/2021] [Indexed: 12/14/2022]
Abstract
The gut microbiota can affect host health, including humans. Mouse models have been used extensively to study the relationships between the host and the gut microbiota. With the development of cost-effective high-throughput DNA sequencing, several methods have been used to identify members of the gut microbiota of laboratory mice. In recent years, the amount of research and knowledge about the mouse gut microbiota has exploded, leading to significant breakthroughs in understanding of the taxonomic composition of and variation in this community. In addition, the rapidly increasing volume of data has allowed the development of public resources for exploring the mouse gut microbiota. In this review, we describe the concepts and pros and cons of basic methodologies that can be used to determine the gut bacterial profile in laboratory mice. We also present the key bacterial components of the mouse gut microbiota from the phylum to the species level and then compare them with those identified in other references. Additionally, we discuss variations in the mouse gut microbiota and their association with experiments using mice. Finally, we summarize the properties and functions of currently available public resources for exploring the mouse gut microbiota.
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Affiliation(s)
- Junwon Yang
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea.,Institute of Molecular Biology & Genetics, Seoul National University, Seoul, 08826, Korea.,Department of Biological Sciences, Seoul National University, Seoul, 08826, Korea
| | - Jongsik Chun
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea. .,Institute of Molecular Biology & Genetics, Seoul National University, Seoul, 08826, Korea. .,Department of Biological Sciences, Seoul National University, Seoul, 08826, Korea.
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Wu J, Liu M, Zhou M, Wu L, Yang H, Huang L, Chen C. Isolation and genomic characterization of five novel strains of Erysipelotrichaceae from commercial pigs. BMC Microbiol 2021; 21:125. [PMID: 33888068 PMCID: PMC8063399 DOI: 10.1186/s12866-021-02193-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 04/07/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Members of the Erysipelotrichaceae family have a high abundance in the intestinal tract of mammals, and have been reported to be associated with host metabolic disorders and inflammatory diseases. In our previous study, we found that the abundance of Erysipelotrichaceae strains in the cecum was associated with the concentration of N-acetylgalactosamine (GalNAc). However, only a few members of Erysipelotrichaceae have been isolated and cultured, and their main characteristics, genomic information and the functional capacity of carbohydrate metabolism remain unknown. RESULTS In this study, we tested 10 different kinds of commercially available media and successfully isolated five Erysipelotrichaceae strains from healthy porcine feces. The five isolates were Gram-positive, and their colonies on Gifu anaerobic medium (GAM) or modified GAM were approximately 0.25-1.0 mm in diameter, and they were circular, white, convex, moist, translucent, and contained colony margins. These isolates were subjected to Oxford Nanopore and Illumina whole-genome sequencing, genome assembly, and annotation. Based on whole-genome sequences, the five strains belong to Erysipelotrichaceae bacterium OH741_COT-311, Eubacterium sp. AM28-29, and Faecalitalea cylindroides. The GC content of the five strains ranged from 34.1 to 37.37%. Functional annotation based on the Kyoto encyclopedia of genes and genomes pathways revealed tens to hundreds of strain-specific proteins among different strains, and even between the strains showing high 16S rRNA gene sequence identity. Prediction analysis of carbohydrate metabolism revealed different capacities for metabolizing carbohydrate substrates among Erysipelotrichaceae strains. We identified that genes related to the GalNAc metabolism pathway were enriched in the genomes of all five isolates and 16 Erysipelotrichaceae strains downloaded from GenBank, suggesting the importance of GalNAc metabolism in Erysipelotrichaceae strains. Polysaccharide utilization loci (PUL) analysis revealed that the strains of Erysipelotrichaceae may have the ability to utilize plant polysaccharides. CONCLUSIONS The present study not only reports the successful isolation of novel Erysipelotrichaceae strains that enrich the cultured strains of Erysipelotrichaceae, but also provided the genome information of Erysipelotrichaceae strains for further studying the function roles of Erysipelotrichaceae in host phenotypes.
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Affiliation(s)
- Jinyuan Wu
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China.
| | - Min Liu
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China
| | - Mengqing Zhou
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China
| | - Lin Wu
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China
| | - Hui Yang
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China
| | - Lusheng Huang
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China
| | - Congying Chen
- National Key Laboratory for Swine genetic improvement and production technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, NanChang, Jiangxi Province, 330045, People's Republic of China.
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Elhenawy W, Hordienko S, Gould S, Oberc AM, Tsai CN, Hubbard TP, Waldor MK, Coombes BK. High-throughput fitness screening and transcriptomics identify a role for a type IV secretion system in the pathogenesis of Crohn's disease-associated Escherichia coli. Nat Commun 2021; 12:2032. [PMID: 33795670 PMCID: PMC8016931 DOI: 10.1038/s41467-021-22306-w] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 03/05/2021] [Indexed: 02/06/2023] Open
Abstract
Adherent-invasive Escherichia coli (AIEC) are pathogenic bacteria frequently isolated from patients who have Crohn's disease (CD). Despite the phenotypic differences between AIEC and commensal E. coli, comparative genomic approaches have been unable to differentiate these two groups, making the identification of key virulence factors a challenge. Here, we conduct a high-resolution, in vivo genetic screen to map AIEC genes required for intestinal colonization of mice. In addition, we use in vivo RNA-sequencing to define the host-associated AIEC transcriptome. We identify diverse metabolic pathways required for efficient gut colonization by AIEC and show that a type IV secretion system (T4SS) is required to form biofilms on the surface of epithelial cells, thereby promoting AIEC persistence in the gut. E. coli isolated from CD patients are enriched for a T4SS, suggesting a possible connection to disease activity. Our findings establish the T4SS as a principal AIEC colonization factor and highlight the use of genome-wide screens in decoding the infection biology of CD-associated bacteria that otherwise lack a defined genetic signature.
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Affiliation(s)
- Wael Elhenawy
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, Hamilton, ON, Canada
| | - Sarah Hordienko
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Steven Gould
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Alexander M Oberc
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Caressa N Tsai
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Troy P Hubbard
- Division of Infectious Diseases, Brigham & Women's Hospital, Boston, MA, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Matthew K Waldor
- Division of Infectious Diseases, Brigham & Women's Hospital, Boston, MA, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Brian K Coombes
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
- Michael G. DeGroote Institute for Infectious Disease Research, Hamilton, ON, Canada.
- Farncombe Family Digestive Health Research Institute, Hamilton, ON, Canada.
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Hitch TCA, Afrizal A, Riedel T, Kioukis A, Haller D, Lagkouvardos I, Overmann J, Clavel T. Recent advances in culture-based gut microbiome research. Int J Med Microbiol 2021; 311:151485. [PMID: 33689954 DOI: 10.1016/j.ijmm.2021.151485] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 01/15/2021] [Accepted: 02/23/2021] [Indexed: 12/16/2022] Open
Abstract
Gut microbes affect the physiology of their hosts. Studying their diversity and functions is thus of utmost importance as it will open new avenues towards the discovery of new biomolecules and the treatment of diseases. Gut microbiome research is currently boosted by the unification of metagenomics, which has dominated the field in the last two decades, and cultivation, which is experiencing a renaissance. Each of these approaches has advantages and drawbacks that can be overcome if used synergistically. In this brief article, we summarize recent literature and own studies on the cultivation of gut microbes, provide a succinct status quo of cultured fractions and collections of isolates, and give short opinions on challenges and next steps to take.
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Affiliation(s)
- Thomas C A Hitch
- Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Aachen, Germany
| | - Afrizal Afrizal
- Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Aachen, Germany
| | - Thomas Riedel
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany; German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Antonios Kioukis
- Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, Greece
| | - Dirk Haller
- ZIEL Institute for Food and Health, Technical University of Munich, Freising, Germany
| | - Ilias Lagkouvardos
- Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, Greece; ZIEL Institute for Food and Health, Technical University of Munich, Freising, Germany
| | - Jörg Overmann
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany; German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Thomas Clavel
- Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Aachen, Germany; ZIEL Institute for Food and Health, Technical University of Munich, Freising, Germany.
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Abstract
High-quality and comprehensive reference gene catalogs are essential for metagenomic research. The rather low diversity of samples used to construct existing catalogs of the mouse gut metagenome limits the numbers of identified genes in existing catalogs. We therefore established an expanded catalog of genes in the mouse gut metagenome (EMGC) containing >5.8 million genes by integrating 88 newly sequenced samples, 86 mouse gut-related bacterial genomes, and 3 existing gene catalogs. EMGC increases the number of nonredundant genes by more than 1 million genes compared to the so-far most extensive catalog. More than 60% of the genes in EMGC were assigned to Bacteria, with 54.20% being assigned to a phylum and 35.33% to a genus, while 30.39% were annotated at the KEGG orthology level. Nine hundred two metagenomic species (MGS) assigned to 122 taxa are identified based on the EMGC. The EMGC-based analysis of samples from groups of mice originating from different animal providers, housing laboratories, and genetic strains substantiated that diet is a major contributor to differences in composition and functional potential of the gut microbiota irrespective of differences in environment and genetic background. We envisage that EMGC will serve as a valuable reference data set for future metagenomic studies in mice. IMPORTANCE We established an expanded gene catalog of the mouse gut metagenome not only to increase the sample size compared to that in existing catalogs but also to provide a more comprehensive reference data set of the mouse gut microbiome for bioinformatic analysis. The expanded gene catalog comprises more than 5.8 million unique genes, as well as a wide range of taxonomic and functional information. Particularly, the analysis of metagenomic species with the expanded gene catalog reveals a great novelty of mouse gut-inhabiting microbial species. We envisage that the expanded gene catalog of the mouse gut metagenome will serve as a valuable bioinformatic resource for future gut metagenomic studies in mice.
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Carranza-Naval MJ, Vargas-Soria M, Hierro-Bujalance C, Baena-Nieto G, Garcia-Alloza M, Infante-Garcia C, del Marco A. Alzheimer's Disease and Diabetes: Role of Diet, Microbiota and Inflammation in Preclinical Models. Biomolecules 2021; 11:biom11020262. [PMID: 33578998 PMCID: PMC7916805 DOI: 10.3390/biom11020262] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/05/2021] [Accepted: 02/05/2021] [Indexed: 02/06/2023] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia. Epidemiological studies show the association between AD and type 2 diabetes (T2DM), although the mechanisms are not fully understood. Dietary habits and lifestyle, that are risk factors in both diseases, strongly modulate gut microbiota composition. Also, the brain-gut axis plays a relevant role in AD, diabetes and inflammation, through products of bacterial metabolism, like short-chain fatty acids. We provide a comprehensive review of current literature on the relation between dysbiosis, altered inflammatory cytokines profile and microglia in preclinical models of AD, T2DM and models that reproduce both diseases as commonly observed in the clinic. Increased proinflammatory cytokines, such as IL-1β and TNF-α, are widely detected. Microbiome analysis shows alterations in Actinobacteria, Bacteroidetes or Firmicutes phyla, among others. Altered α- and β-diversity is observed in mice depending on genotype, gender and age; therefore, alterations in bacteria taxa highly depend on the models and approaches. We also review the use of pre- and probiotic supplements, that by favoring a healthy microbiome ameliorate AD and T2DM pathologies. Whereas extensive studies have been carried out, further research would be necessary to fully understand the relation between diet, microbiome and inflammation in AD and T2DM.
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Affiliation(s)
- Maria Jose Carranza-Naval
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Salus Infirmorum, Universidad de Cadiz, 11005 Cadiz, Spain
| | - Maria Vargas-Soria
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
| | - Carmen Hierro-Bujalance
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
| | - Gloria Baena-Nieto
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Department of Endocrinology, Jerez Hospital, Jerez de la Frontera, 11407 Cadiz, Spain
| | - Monica Garcia-Alloza
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
| | - Carmen Infante-Garcia
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Correspondence: (C.I.-G.); (A.d.M.)
| | - Angel del Marco
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Correspondence: (C.I.-G.); (A.d.M.)
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Abstract
Mouse model studies are frequently used in oral microbiome research, particularly to investigate diseases such as periodontitis and caries, as well as other related systemic diseases. We have reported here the details of the development of a curated reference database to characterize the oral microbial community in laboratory and some wild mice. A curated murine oral microbiome database to be used as a reference for mouse-based studies has been constructed using a combination of bacterial culture, 16S rRNA gene amplicon, and whole-genome sequencing. The database comprises a collection of nearly full-length 16S rRNA gene sequences from cultured isolates and draft genomes from representative taxa collected from a range of sources, including specific-pathogen-free laboratory mice, wild Mus musculusdomesticus mice, and formerly wild wood mouse Apodemus sylvaticus. At present, it comprises 103 mouse oral taxa (MOT) spanning four phyla—Firmicutes, Proteobacteria, Actinobacteria, and Bacteroidetes—including 12 novel undescribed species-level taxa. The key observations from this study are (i) the low diversity and predominantly culturable nature of the laboratory mouse oral microbiome and (ii) the identification of three major murine-specific oral bacterial lineages, namely, Streptococcus danieliae (MOT10), Lactobacillus murinus (MOT93), and Gemella species 2 (MOT43), which is one of the novel, still-unnamed taxa. Of these, S. danieliae is of particular interest, since it is a major component of the oral microbiome from all strains of healthy and periodontally diseased laboratory mice, as well as being present in wild mice. It is expected that this well-characterized database should be a useful resource for in vitro experimentation and mouse model studies in the field of oral microbiology. IMPORTANCE Mouse model studies are frequently used in oral microbiome research, particularly to investigate diseases such as periodontitis and caries, as well as other related systemic diseases. We have reported here the details of the development of a curated reference database to characterize the oral microbial community in laboratory and some wild mice. The genomic information and findings reported here can help improve the outcomes and accuracy of host-microbe experimental studies that use murine models to understand health and disease. Work is also under way to make the reference data sets publicly available on a web server to enable easy access and downloading for researchers across the world.
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Abstract
Aims The effect of the gut microbiota (GM) and its metabolite on bone health is termed the gut-bone axis. Multiple studies have elucidated the mechanisms but findings vary greatly. A systematic review was performed to analyze current animal models and explore the effect of GM on bone. Methods Literature search was performed on PubMed and Embase databases. Information on the types and strains of animals, induction of osteoporosis, intervention strategies, determination of GM, assessment on bone mineral density (BMD) and bone quality, and key findings were extracted. Results A total of 30 studies were included, of which six studies used rats and 24 studies used mice. Osteoporosis or bone loss was induced in 14 studies. Interventions included ten with probiotics, three with prebiotics, nine with antibiotics, two with short-chain fatty acid (SCFA), six with vitamins and proteins, two with traditional Chinese medicine (TCM), and one with neuropeptide Y1R antagonist. In general, probiotics, prebiotics, nutritional interventions, and TCM were found to reverse the GM dysbiosis and rescue bone loss. Conclusion Despite the positive therapeutic effect of probiotics, prebiotics, and nutritional or pharmaceutical interventions on osteoporosis, there is still a critical knowledge gap regarding the role of GM in rescuing bone loss and its related pathways. Cite this article: Bone Joint Res 2021;10(1):51–59.
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Affiliation(s)
- Jie Li
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Wing Tung Percy Ho
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Chaoran Liu
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Simon Kwoon-Ho Chow
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Margaret Ip
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Jun Yu
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Hei Sunny Wong
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Wing-Hoi Cheung
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Joseph Jao Yiu Sung
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Ronald Man Yeung Wong
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
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How wide is the application of genetic big data in biomedicine. Biomed Pharmacother 2020; 133:111074. [PMID: 33378973 DOI: 10.1016/j.biopha.2020.111074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/16/2020] [Accepted: 11/27/2020] [Indexed: 12/17/2022] Open
Abstract
In the era of big data, massive genetic data, as a new industry, has quickly swept almost all industries, especially the pharmaceutical industry. As countries around the world start to build their own gene banks, scientists study the data to explore the origins and migration of humans. Moreover, big data encourage the development of cancer therapy and bring good news to cancer patients. Big datum has been involved in the study of many diseases, and it has been found that analyzing diseases at the gene level can lead to more beneficial treatment options than ordinary treatments. This review will introduce the development of extensive data in medical research from the perspective of big data and tumor, neurological and psychiatric diseases, cardiovascular diseases, other applications and the development direction of big data in medicine.
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