Clostridium methylpentosum R2 is an anaerobe bacterium that was isolated from human faeces.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Clostridium |
| Species Clostridium methylpentosum |
| Full scientific name Clostridium methylpentosum Himelbloom and Canale-Parola 1989 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 96.5 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2178 | CLOSTRIDIUM METHYLPENTOSUM MEDIUM (DSMZ Medium 492) | Medium recipe at MediaDive | Name: CLOSTRIDIUM METHYLPENTOSUM MEDIUM (DSMZ Medium 492) Composition: L-Rhamnose 1.99005 g/l L-Cysteine HCl x H2O 0.995025 g/l NaHCO3 0.995025 g/l NaCl 0.895522 g/l KH2PO4 0.895522 g/l NH4Cl 0.895522 g/l CaCl2 x 2 H2O 0.0199005 g/l MnCl2 x 4 H2O 0.0199005 g/l MgSO4 x 7 H2O 0.0199005 g/l CoCl2 x 6 H2O 0.00497512 g/l FeSO4 x 7 H2O 0.00497512 g/l ZnSO4 x 7 H2O 0.00199005 g/l CuSO4 x H2O 0.00199005 g/l Sodium resazurin 0.000497512 g/l Pyridoxine hydrochloride 9.95025e-05 g/l (DL)-alpha-Lipoic acid 4.97512e-05 g/l p-Aminobenzoic acid 4.97512e-05 g/l Calcium D-(+)-pantothenate 4.97512e-05 g/l Nicotinic acid 4.97512e-05 g/l Riboflavin 4.97512e-05 g/l Thiamine HCl 4.97512e-05 g/l Folic acid 1.99005e-05 g/l Biotin 1.99005e-05 g/l Vitamin B12 9.95025e-07 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 2178 | positive | growth | 37 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.5 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | degradation of hexoses | 66.67 | 12 of 18 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | gluconeogenesis | 62.5 | 5 of 8 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | oxidative phosphorylation | 59.34 | 54 of 91 | ||
| 66794 | pyrimidine metabolism | 57.78 | 26 of 45 | ||
| 66794 | methionine metabolism | 57.69 | 15 of 26 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | purine metabolism | 55.32 | 52 of 94 | ||
| 66794 | tryptophan metabolism | 55.26 | 21 of 38 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | vitamin B6 metabolism | 54.55 | 6 of 11 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | flavin biosynthesis | 53.33 | 8 of 15 | ||
| 66794 | non-pathway related | 52.63 | 20 of 38 | ||
| 66794 | alanine metabolism | 51.72 | 15 of 29 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | suberin monomers biosynthesis | 50 | 1 of 2 | ||
| 66794 | tetrahydrofolate metabolism | 50 | 7 of 14 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | Entner Doudoroff pathway | 50 | 5 of 10 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | degradation of pentoses | 50 | 14 of 28 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | arginine metabolism | 50 | 12 of 24 | ||
| 66794 | polyamine pathway | 47.83 | 11 of 23 | ||
| 66794 | lysine metabolism | 47.62 | 20 of 42 | ||
| 66794 | isoprenoid biosynthesis | 46.15 | 12 of 26 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | citric acid cycle | 42.86 | 6 of 14 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | vitamin B12 metabolism | 41.18 | 14 of 34 | ||
| 66794 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 37.5 | 3 of 8 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | lipid metabolism | 35.48 | 11 of 31 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 33.33 | 4 of 12 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | glycine metabolism | 30 | 3 of 10 | ||
| 66794 | tyrosine metabolism | 28.57 | 4 of 14 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | metabolism of disaccharids | 27.27 | 3 of 11 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 | ||
| 66794 | heme metabolism | 21.43 | 3 of 14 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 2178 | human faeces | USA | USA | North America |
Global distribution of 16S sequence Y18181 (>99% sequence identity) for [Clostridium] methylpentosum subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM15865v1 assembly for [Clostridium] methylpentosum DSM 5476 | scaffold | 537013 | 24.44 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 2178 | Clostridium methylpentosum 16S rRNA gene, partial, strain DSM 5476 | Y18181 | 1435 | 537013 |
| 2178 | GC-content (mol%)46.0 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.50 | no |
| 125439 | motility | BacteriaNetⓘ | no | 85.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 95.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 71.38 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 93.91 | yes |
| 125438 | aerobic | aerobicⓘ | no | 98.07 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 53.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 85.99 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 85.63 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Fermented soybean meal using Bacillus subtilis and Aspergillus oryzae positively enhances cecal microbial composition and broiler performance. | Akhirini N, Suprayogi WPS, Saraswati PN, Ratriyanto A, Irawan A. | Anim Biosci | 10.5713/ab.250400 | 2025 | ||
| GLP-1 Responses to a Single Meal Fortified With Oyster Mushroom Powder in Adults With Impaired Glucose Tolerance Depend on the Gut Microbiota Composition Before the Meal. | Klumpen L, Donkers A, Seel W, Dicks L, Holst JJ, Stehle P, Simon MC, Ellinger S. | Mol Nutr Food Res | 10.1002/mnfr.70159 | 2025 | ||
| Plant Heteropolysaccharides as Potential Anti-Diabetic Agents: A Review. | He D, Cui C. | Curr Issues Mol Biol | 10.3390/cimb47070533 | 2025 | ||
| Study on characteristics of gut flora composition of pregnant women with preeclampsia | Li G, Niu H, Xie M, Yang M, Li M, Hao Y, Zhang J. | BMC Pregnancy Childbirth | 2025 | |||
| Enzymology | Feeding amylolytic and fibrolytic exogenous enzymes in feedlot diets: effects on ruminal parameters, nitrogen balance and microbial diversity of Nellore cattle. | Ferreira IM, Mantovani HC, Viquez-Umana F, Granja-Salcedo YT, E Silva LFC, Koontz A, Holder V, Pettigrew JE, Rodrigues AA, Rodrigues AN, de Abreu MJI, de Almeida STR, Vidigal PMP, Siqueira GR, de Resende FD. | J Anim Sci Biotechnol | 10.1186/s40104-025-01226-5 | 2025 | |
| Gut infection and dysbiosis are hallmarks of severe SARS-CoV-2 variants. | Nagaraj SK, Joy CM, Shiraz R, Narayan R, Kaur S, Khatun O, Dubey S, Ng J, Mishra N, Tripathi S. | Npj Viruses | 10.1038/s44298-025-00158-1 | 2025 | ||
| Lactobacillus salivarius and Berberine Alleviated Yak Calves' Diarrhea via Accommodating Oxidation Resistance, Inflammatory Factors, and Intestinal Microbiota. | He Q, Lu S, Wang J, Xu C, Qu W, Nawaz S, Ataya FS, Wu Y, Li K. | Animals (Basel) | 10.3390/ani14162419 | 2024 | ||
| Decreased Lactococcus lactis and Propionic Acid in Feces of Patients with Moyamoya Disease: Possible Implications of Immune Dysregulation. | Otomo M, Tashiro R, Tokuno H, Kanoke A, Tominaga K, Nagai A, Aikawa T, Ando D, Sakata H, Sato T, Abe T, Endo H, Niizuma K, Tominaga T. | Cerebrovasc Dis | 10.1159/000545478 | 2025 | ||
| Systematic review of bidirectional interaction between gut microbiome, miRNAs, and human pathologies. | Drago L, De La Motte LR, Deflorio L, Sansico DF, Salvatici M, Micaglio E, Biazzo M, Giarritiello F. | Front Microbiol | 10.3389/fmicb.2025.1540943 | 2025 | ||
| The Prebiotic Effect of Kaempferol in Regulating Bile Acid Metabolism. | Li X, Huang G, Khan I, Ding Z, Hsiao WLW, Liu Z. | Food Sci Nutr | 10.1002/fsn3.70023 | 2025 | ||
| Exploring the gut microbiota of healthy captive Asian elephants from various locations in Yunnan, China. | Wang Y, Wang Y, Zhou J, Bao M, Shah T, Yang S, Zheng J, Li Q, Hou Y, Wang B, Yuan R. | Front Microbiol | 10.3389/fmicb.2024.1403930 | 2024 | ||
| Gut Microbiome rewiring via fecal transplants: Uncovering therapeutic avenues in Alzheimer's disease models. | Upadhyay P, Kumar S, Tyagi A, Tyagi AR, Barbhuyan T, Gupta S. | BMC Neurosci | 10.1186/s12868-025-00953-9 | 2025 | ||
| Geranylgeraniol and Green Tea Polyphenols Mitigate Negative Effects of a High-Fat Diet on Skeletal Muscle and the Gut Microbiome in Male C57BL/6J Mice. | Shen CL, Elmassry MM, Grue K, Joiner HE, Jacobo AU, Hamood A, Chung E. | Metabolites | 10.3390/metabo12100913 | 2022 | ||
| Dietary low levels of Eucommia ulmoides leaf extracts: effects on antioxidant capacity, immunity, and cecal microbiota in lipopolysaccharide-challenged broilers. | Zhang J, Chai L, Guo Y, Han J, Yang G. | Front Microbiol | 10.3389/fmicb.2025.1662502 | 2025 | ||
| Lactobacillus acidophilus potentiates oncolytic virotherapy through modulating gut microbiota homeostasis in hepatocellular carcinoma. | Zhang J, Yang J, Luo J, Wu W, Luo H, Wei W, Lyu H, Wang Y, Yi H, Zhang Y, Fan Z, Lyu H, Kanakaveti VP, Qin B, Yuan P, Yang R, Zhang H, Zuo T, Felsher DW, Lee MH, Li K. | Nat Commun | 10.1038/s41467-025-58407-z | 2025 | ||
| Integrating the serum proteomic and fecal metaproteomic to analyze the impacts of overweight/obesity on IBD: a pilot investigation. | Yan P, Sun Y, Luo J, Liu X, Wu J, Miao Y. | Clin Proteomics | 10.1186/s12014-023-09396-y | 2023 | ||
| Gut microbiota, physical activity and/or metabolic markers in healthy individuals - towards new biomarkers of health. | Myhrstad MCW, Ruud E, Gaundal L, Gjovaag T, Rud I, Retterstol K, Ulven SM, Holven KB, Koehler K, Telle-Hansen VH. | Front Nutr | 10.3389/fnut.2024.1438876 | 2024 | ||
| Membrane-bound pyrophosphatase of human gut microbe Clostridium methylpentosum confers improved salt tolerance in Escherichia coli, Saccharomyces cerevisiae and tobacco. | Yang Y, Liu Y, Yuan H, Liu X, Gao Y, Gong M, Zou Z. | Mol Membr Biol | 10.1080/09687688.2017.1370145 | 2016 | ||
| Comparative time-series analyses of gut microbiome profiles in genetically and chemically induced lupus-prone mice and the impacts of fecal transplantation. | Chatthanathon P, Leelahavanichkul A, Cheibchalard T, Wilantho A, Hirankarn N, Somboonna N. | Sci Rep | 10.1038/s41598-024-77672-4 | 2024 | ||
| Metabolism | Gut Microbiome Profiles and Associated Metabolic Pathways in HIV-Infected Treatment-Naïve Patients. | do Nascimento WM, Machiavelli A, Ferreira LGE, Cruz Silveira L, de Azevedo SSD, Bello G, Smith DP, Mezzari MP, Petrosino JF, Delgado Duarte RT, Zarate-Blades CR, Pinto AR. | Cells | 10.3390/cells10020385 | 2021 | |
| Development of a Protocol for Anaerobic Preparation and Banking of Fecal Microbiota Transplantation Material: Evaluation of Bacterial Richness in the Cultivated Fraction. | Bosch B, Hartikainen A, Ronkainen A, Scheperjans F, Arkkila P, Satokari R. | Microorganisms | 10.3390/microorganisms11122901 | 2023 | ||
| Intestinal fatty acid binding protein is associated with cardiac function and gut dysbiosis in chronic heart failure. | Nendl A, Raju SC, Broch K, Mayerhofer CCK, Holm K, Halvorsen B, Lappegard KT, Moscavitch S, Hov JR, Seljeflot I, Troseid M, Awoyemi A. | Front Cardiovasc Med | 10.3389/fcvm.2023.1160030 | 2023 | ||
| Trimethylamine Oxidation into the Proatherogenic Trimethylamine N-Oxide Is Higher in Coronary Heart Disease Men: From the CORDIOPREV Study. | Garcia-Fernandez H, Alcala-Diaz JF, Quintana-Navarro GM, Lopez-Moreno J, Luque-Cordoba D, Ruiz-Diaz Narvaez E, Arenas-de Larriva AP, Gutierrez-Mariscal FM, Torres-Pena JD, Rodriguez-Cano D, Luque RM, Priego-Capote F, Lopez-Miranda J, Camargo A. | World J Mens Health | 10.5534/wjmh.230366 | 2025 | ||
| Genetics | Host origin of microbiota drives functional recovery and Clostridioides difficile clearance in mice. | Millard SA, Vendrov KC, Young VB, Seekatz AM. | mBio | 10.1128/mbio.01108-25 | 2025 | |
| Effects of glucose oxidase on growth performance, clinical symptoms, serum parameters, and intestinal health in piglets challenged by enterotoxigenic Escherichia coli. | Wang W, Xie R, Cao Q, Ye H, Zhang C, Dong Z, Feng D, Zuo J. | Front Microbiol | 10.3389/fmicb.2022.994151 | 2022 | ||
| Phylogeny | Metataxonomics and Metabolomics Profiles in Metabolic Dysfunction-Associated Fatty Liver Disease Patients on a "Navelina" Orange-Enriched Diet. | Calabrese FM, Aloisio Caruso E, De Nunzio V, Celano G, Pinto G, Cofano M, Sallustio S, Iacobellis I, Apa CA, Santamaria M, Calasso M, Giannelli G, De Angelis M, Notarnicola M. | Nutrients | 10.3390/nu16203543 | 2024 | |
| The Use of Fecal Microbiota Transplant in Overcoming and Modulating Resistance to Anti-PD-1 Therapy in Patients with Skin Cancer. | Vongsavath T, Rahmani R, Tun KM, Manne V. | Cancers (Basel) | 10.3390/cancers16030499 | 2024 | ||
| Transcriptome | 1-Deoxynojirimycin containing Morus alba leaf-based food modulates the gut microbiome and expression of genes related to obesity. | Jaiswal V, Lee MJ, Chun JL, Park M, Lee HJ. | BMC Vet Res | 10.1186/s12917-024-03961-9 | 2024 | |
| Gut-brain axis in post-traumatic stress disorder: microbial - mediated mechanisms and new therapeutic approaches - A narrative review. | Pan J, Lin S, Qian Q, Fu S, Liu X. | Front Pharmacol | 10.3389/fphar.2025.1621678 | 2025 | ||
| Metabolism | Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome. | Wang M, Osborn LJ, Jain S, Meng X, Weakley A, Yan J, Massey WJ, Varadharajan V, Horak A, Banerjee R, Allende DS, Chan ER, Hajjar AM, Wang Z, Dimas A, Zhao A, Nagashima K, Cheng AG, Higginbottom S, Hazen SL, Brown JM, Fischbach MA. | Cell | 10.1016/j.cell.2023.05.037 | 2023 | |
| Deciphering the Physiological Responses to the Intake of Plant-Based Meat Analogues: On the Track of Microbiota and Biomarkers in Serum and Urine. | Sanchez-Terron G, Martinez R, Morcuende D, Estevez M. | J Agric Food Chem | 10.1021/acs.jafc.5c02799 | 2025 | ||
| Pathogenicity | The Influence of Probiotic Supplementation on the Obesity Indexes, Neuroinflammatory and Oxidative Stress Markers, Gut Microbial Diversity, and Working Memory in Obese Thai Children. | Khongtan S, Sivamaruthi BS, Thangaleela S, Kesika P, Bharathi M, Sirilun S, Choeisoongnern T, Peerajan S, Sittiprapaporn P, Chaiyasut C. | Foods | 10.3390/foods12213890 | 2023 | |
| Pathogenicity | Protection of Alzheimer's disease progression by a human-origin probiotics cocktail. | Prajapati SK, Wang S, Mishra SP, Jain S, Yadav H. | Sci Rep | 10.1038/s41598-024-84780-8 | 2025 | |
| Systematic review of donor and recipient predictive biomarkers of response to faecal microbiota transplantation in patients with ulcerative colitis. | Rees NP, Shaheen W, Quince C, Tselepis C, Horniblow RD, Sharma N, Beggs AD, Iqbal TH, Quraishi MN. | EBioMedicine | 10.1016/j.ebiom.2022.104088 | 2022 | ||
| Effects of dietary supplementation of a blend of Saccharomyces cerevisiae, multiple live probiotic bacteria, and their fermentation products on performance, health, and rumen bacterial community of newly weaned beef steers during a 56-d receiving period. | Treon E, Sidney T, Taiwo G, Idowu M, Leal Y, Ologunagba D, Ogunade IM. | Transl Anim Sci | 10.1093/tas/txad143 | 2024 | ||
| Dietary Supplementation With Lactobacillus plantarum Ameliorates Compromise of Growth Performance by Modulating Short-Chain Fatty Acids and Intestinal Dysbiosis in Broilers Under Clostridium perfringens Challenge. | Wang B, Zhou Y, Mao Y, Gong L, Li X, Xu S, Wang F, Guo Q, Zhang H, Li W. | Front Nutr | 10.3389/fnut.2021.706148 | 2021 | ||
| Phylogeny | Effects of Polymannuronic Acid on the Intestinal Microbiota in Mice after Long-Term Intragastric Administration. | Zhang E, Wei Q, Li X, Song S. | Mar Drugs | 10.3390/md22030125 | 2024 | |
| Effects of high intake of cod or salmon on gut microbiota profile, faecal output and serum concentrations of lipids and bile acids in overweight adults: a randomised clinical trial. | Bratlie M, Hagen IV, Helland A, Erchinger F, Midttun O, Ueland PM, Rosenlund G, Sveier H, Mellgren G, Hausken T, Gudbrandsen OA. | Eur J Nutr | 10.1007/s00394-020-02417-8 | 2021 | ||
| Seasonal Influence on Rumen Microbiota, Rumen Fermentation, and Enteric Methane Emissions of Holstein and Jersey Steers under the Same Total Mixed Ration. | Islam M, Kim SH, Son AR, Ramos SC, Jeong CD, Yu Z, Kang SH, Cho YI, Lee SS, Cho KK, Lee SS. | Animals (Basel) | 10.3390/ani11041184 | 2021 | ||
| Gut Microbiota Composition and Metabolic Potential of Long-Living People in China. | Zhang S, Ning R, Zeng B, Deng F, Kong F, Guo W, Zhao J, Li Y. | Front Aging Neurosci | 10.3389/fnagi.2022.820108 | 2022 | ||
| Bank1 deficiency reshapes the gut microbiota of lupus mice towards an anti-inflammatory composition. | Galicia G, Botia-Sanchez M, Toro-Dominguez D, Garcia AL, Valera JR, Gomez Hernandez G, Fernandez RM, Carmona N, Luque G, Morell M, Varela N, Perez-Cozar F, Margolles A, Aguilera M, Alarcon-Riquelme ME. | Front Immunol | 10.3389/fimmu.2025.1586025 | 2025 | ||
| Stool preparation under anaerobic conditions contributes to retention of obligate anaerobes: potential improvement for fecal microbiota transplantation. | Shimizu H, Arai K, Asahara T, Takahashi T, Tsuji H, Matsumoto S, Takeuchi I, Kyodo R, Yamashiro Y. | BMC Microbiol | 10.1186/s12866-021-02325-9 | 2021 | ||
| Immunoglobulin A Targets a Unique Subset of the Microbiota in Inflammatory Bowel Disease. | Shapiro JM, de Zoete MR, Palm NW, Laenen Y, Bright R, Mallette M, Bu K, Bielecka AA, Xu F, Hurtado-Lorenzo A, Shah SA, Cho JH, LeLeiko NS, Sands BE, Flavell RA, Clemente JC. | Cell Host Microbe | 10.1016/j.chom.2020.12.003 | 2021 | ||
| Genetics | Investigating the modulatory effects of Moringa oleifera on the gut microbiota of chicken model through metagenomic approach. | Soundararajan S, Selvakumar J, Maria Joseph ZM, Gopinath Y, Saravanan V, Santhanam R. | Front Vet Sci | 10.3389/fvets.2023.1153769 | 2023 | |
| Genetics | Integrated Analysis of Gut Microbiome and Lipid Metabolism in Mice Infected with Carbapenem-Resistant Enterobacteriaceae. | Zhang N, Peng Y, Zhao L, He P, Zhu J, Liu Y, Liu X, Liu X, Deng G, Zhang Z, Feng M. | Metabolites | 10.3390/metabo12100892 | 2022 | |
| Intestinal microbiota has important effect on severity of hand foot and mouth disease in children. | Shen C, Xu Y, Ji J, Wei J, Jiang Y, Yang Y, Yang M, Huang H, Zou R, Fang C, Zeng F, Yang F, Wang X, Yuan J, Li J, Wang X, Yang H, Gong S, Wang H, Xia H, Ma J, Liu Y. | BMC Infect Dis | 10.1186/s12879-021-06748-7 | 2021 | ||
| Differential Fecal Microbiome Dysbiosis after Equivalent Traumatic Brain Injury in Aged Versus Young Adult Mice. | Davis BT, Islam MBAR, Das P, Gilbert JA, Ho KJ, Schwulst SJ. | J Exp Neurol | 10.33696/neurol.2.044 | 2021 | ||
| Design, construction, and in vivo augmentation of a complex gut microbiome. | Cheng AG, Ho PY, Aranda-Diaz A, Jain S, Yu FB, Meng X, Wang M, Iakiviak M, Nagashima K, Zhao A, Murugkar P, Patil A, Atabakhsh K, Weakley A, Yan J, Brumbaugh AR, Higginbottom S, Dimas A, Shiver AL, Deutschbauer A, Neff N, Sonnenburg JL, Huang KC, Fischbach MA. | Cell | 10.1016/j.cell.2022.08.003 | 2022 | ||
| Metabolism | Integrated analysis of multi-tissues lipidome and gut microbiome reveals microbiota-induced shifts on lipid metabolism in pigs. | Xie C, Zhu X, Xu B, Niu Y, Zhang X, Ma L, Yan X. | Anim Nutr | 10.1016/j.aninu.2022.04.011 | 2022 | |
| The Impact of Lactobacillus plantarum on the Gut Microbiota of Mice with DSS-Induced Colitis. | Zhang F, Li Y, Wang X, Wang S, Bi D. | Biomed Res Int | 10.1155/2019/3921315 | 2019 | ||
| Genetics | Dietary Emulsifier Sodium Stearoyl Lactylate Alters Gut Microbiota in vitro and Inhibits Bacterial Butyrate Producers. | Elmen L, Zlamal JE, Scott DA, Lee RB, Chen DJ, Colas AR, Rodionov DA, Peterson SN. | Front Microbiol | 10.3389/fmicb.2020.00892 | 2020 | |
| Screening for chronic prostatitis pathogens using high-throughput next-generation sequencing. | Wu Y, Jiang H, Tan M, Lu X. | Prostate | 10.1002/pros.23971 | 2020 | ||
| Repairing gut barrier by traditional Chinese medicine: roles of gut microbiota. | Zhou Y, Zhang D, Cheng H, Wu J, Liu J, Feng W, Peng C. | Front Cell Infect Microbiol | 10.3389/fcimb.2024.1389925 | 2024 | ||
| Metagenomic Analysis Reveals New Microbiota Related to Fiber Digestion in Pigs. | Liu G, Li P, Hou L, Niu Q, Pu G, Wang B, Du T, Kim SW, Niu P, Li Q, Huang R. | Front Microbiol | 10.3389/fmicb.2021.746717 | 2021 | ||
| A Novel Plant-Based Nutraceutical Combined with Exercise Can Revert Oxidative Status in Plasma and Liver in a Diet-Induced-Obesity Animal Model. | Guzman-Carrasco A, Kapravelou G, Lopez-Jurado M, Bermudez F, Andres-Leon E, Terron-Camero LC, Prados J, Melguizo C, Porres JM, Martinez R. | Antioxidants (Basel) | 10.3390/antiox13030274 | 2024 | ||
| Metabolism | Indoleacrylic Acid Produced by Commensal Peptostreptococcus Species Suppresses Inflammation. | Wlodarska M, Luo C, Kolde R, d'Hennezel E, Annand JW, Heim CE, Krastel P, Schmitt EK, Omar AS, Creasey EA, Garner AL, Mohammadi S, O'Connell DJ, Abubucker S, Arthur TD, Franzosa EA, Huttenhower C, Murphy LO, Haiser HJ, Vlamakis H, Porter JA, Xavier RJ. | Cell Host Microbe | 10.1016/j.chom.2017.06.007 | 2017 | |
| Effects of supplemental xylanase and xylooligosaccharides on production performance and gut health variables of broiler chickens. | Singh AK, Mishra B, Bedford MR, Jha R. | J Anim Sci Biotechnol | 10.1186/s40104-021-00617-8 | 2021 | ||
| Genetics | Comparative Genomic Analysis Reveals Novel Microcompartment-Associated Metabolic Pathways in the Human Gut Microbiome. | Ravcheev DA, Moussu L, Smajic S, Thiele I. | Front Genet | 10.3389/fgene.2019.00636 | 2019 | |
| Metabolism | Alterations in the Gut Microbiome and Cecal Metabolome During Klebsiella pneumoniae-Induced Pneumosepsis. | Wu T, Xu F, Su C, Li H, Lv N, Liu Y, Gao Y, Lan Y, Li J. | Front Immunol | 10.3389/fimmu.2020.01331 | 2020 | |
| Senolytic Combination of Dasatinib and Quercetin Alleviates Intestinal Senescence and Inflammation and Modulates the Gut Microbiome in Aged Mice. | Saccon TD, Nagpal R, Yadav H, Cavalcante MB, Nunes ADC, Schneider A, Gesing A, Hughes B, Yousefzadeh M, Tchkonia T, Kirkland JL, Niedernhofer LJ, Robbins PD, Masternak MM. | J Gerontol A Biol Sci Med Sci | 10.1093/gerona/glab002 | 2021 | ||
| Pathogenicity | Fecal Microbiota Composition Drives Immune Activation in HIV-infected Individuals. | Neff CP, Krueger O, Xiong K, Arif S, Nusbacher N, Schneider JM, Cunningham AW, Armstrong A, Li S, McCarter MD, Campbell TB, Lozupone CA, Palmer BE. | EBioMedicine | 10.1016/j.ebiom.2018.03.024 | 2018 | |
| Genetics | Disorganized Gut Microbiome Contributed to Liver Cirrhosis Progression: A Meta-Omics-Based Study. | Shao L, Ling Z, Chen D, Liu Y, Yang F, Li L. | Front Microbiol | 10.3389/fmicb.2018.03166 | 2018 | |
| Meta-analysis of the Parkinson's disease gut microbiome suggests alterations linked to intestinal inflammation. | Romano S, Savva GM, Bedarf JR, Charles IG, Hildebrand F, Narbad A. | NPJ Parkinsons Dis | 10.1038/s41531-021-00156-z | 2021 | ||
| Evolutionary and Functional Relationships of the dha Regulon by Genomic Context Analysis. | Martins-Pinheiro M, Lima WC, Asif H, Oller CA, Menck CF. | PLoS One | 10.1371/journal.pone.0150772 | 2016 | ||
| Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome. | Chen L, Zhernakova DV, Kurilshikov A, Andreu-Sanchez S, Wang D, Augustijn HE, Vich Vila A, Lifelines Cohort Study, Weersma RK, Medema MH, Netea MG, Kuipers F, Wijmenga C, Zhernakova A, Fu J. | Nat Med | 10.1038/s41591-022-02014-8 | 2022 | ||
| Pathogenicity | Eukaryotic and Prokaryotic Microbiota Interactions. | Kodio A, Menu E, Ranque S. | Microorganisms | 10.3390/microorganisms8122018 | 2020 | |
| A combination of Lactobacillus mali APS1 and dieting improved the efficacy of obesity treatment via manipulating gut microbiome in mice. | Chen YT, Yang NS, Lin YC, Ho ST, Li KY, Lin JS, Liu JR, Chen MJ. | Sci Rep | 10.1038/s41598-018-23844-y | 2018 | ||
| Metabolism | Haem iron reshapes colonic luminal environment: impact on mucosal homeostasis and microbiome through aldehyde formation. | Martin OCB, Olier M, Ellero-Simatos S, Naud N, Dupuy J, Huc L, Tache S, Graillot V, Leveque M, Bezirard V, Helies-Toussaint C, Estrada FBY, Tondereau V, Lippi Y, Naylies C, Peyriga L, Canlet C, Davila AM, Blachier F, Ferrier L, Boutet-Robinet E, Gueraud F, Theodorou V, Pierre FHF. | Microbiome | 10.1186/s40168-019-0685-7 | 2019 | |
| Pathogenicity | Antrodia cinnamomea reduces obesity and modulates the gut microbiota in high-fat diet-fed mice. | Chang CJ, Lu CC, Lin CS, Martel J, Ko YF, Ojcius DM, Wu TR, Tsai YH, Yeh TS, Lu JJ, Lai HC, Young JD. | Int J Obes (Lond) | 10.1038/ijo.2017.149 | 2018 | |
| Automated analysis of genomic sequences facilitates high-throughput and comprehensive description of bacteria. | Hitch TCA, Riedel T, Oren A, Overmann J, Lawley TD, Clavel T. | ISME Commun | 10.1038/s43705-021-00017-z | 2021 | ||
| Fecal microbiota and metabolome of children with autism and pervasive developmental disorder not otherwise specified. | De Angelis M, Piccolo M, Vannini L, Siragusa S, De Giacomo A, Serrazzanetti DI, Cristofori F, Guerzoni ME, Gobbetti M, Francavilla R. | PLoS One | 10.1371/journal.pone.0076993 | 2013 | ||
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| Differential responses of cecal microbiota to fishmeal, Eimeria and Clostridium perfringens in a necrotic enteritis challenge model in chickens. | Stanley D, Wu SB, Rodgers N, Swick RA, Moore RJ. | PLoS One | 10.1371/journal.pone.0104739 | 2014 | ||
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| Molecular and evolutionary analysis of NEAr-iron Transporter (NEAT) domains. | Honsa ES, Maresso AW, Highlander SK. | PLoS One | 10.1371/journal.pone.0104794 | 2014 | ||
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| Phylogeny | Paludicola psychrotolerans gen. nov., sp. nov., a novel psychrotolerant chitinolytic anaerobe of the family Ruminococcaceae. | Li Y, Zhang LL, Liu L, Tian YQ, Liu XF, Li WJ, Dai YM | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002260 | 2017 | |
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| #2178 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5476 |
| #20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 ) |
| #66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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