Blautia obeum DSM 25238 is an anaerobe bacterium that was isolated from human feces.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Lachnospiraceae |
| Genus Blautia |
| Species Blautia obeum |
| Full scientific name Blautia obeum (Moore et al. 1976) Lawson and Finegold 2015 |
| Synonyms (1) |
| BacDive ID | Other strains from Blautia obeum (2) | Type strain |
|---|---|---|
| 160630 | B. obeum H1_42, DSM 108071 | |
| 164028 | B. obeum JCM 31340 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 17938 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 17938 | positive | growth | 37 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Chebi-ID | Metabolite | Production | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | from API rID32A |
| @ref | Chebi-ID | Metabolite | Indole test | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | - | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68380 | alanine arylamidase | - | 3.4.11.2 | from API rID32A |
| 68380 | alpha-arabinosidase | - | 3.2.1.55 | from API rID32A |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 68380 | alpha-galactosidase | + | 3.2.1.22 | from API rID32A |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68380 | beta-galactosidase | + | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 68380 | glutamate decarboxylase | - | 4.1.1.15 | from API rID32A |
| 68380 | glutamyl-glutamate arylamidase | - | from API rID32A | |
| 68380 | glycin arylamidase | - | from API rID32A | |
| 68380 | histidine arylamidase | - | from API rID32A | |
| 68380 | L-arginine arylamidase | - | from API rID32A | |
| 68380 | leucine arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32A |
| 68380 | phenylalanine arylamidase | - | from API rID32A | |
| 68380 | proline-arylamidase | - | 3.4.11.5 | from API rID32A |
| 68380 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32A |
| 68380 | serine arylamidase | - | from API rID32A | |
| 68380 | tryptophan deaminase | - | 4.1.99.1 | from API rID32A |
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 90.91 | 20 of 22 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | degradation of hexoses | 77.78 | 14 of 18 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | biotin biosynthesis | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | vitamin B12 metabolism | 73.53 | 25 of 34 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | purine metabolism | 72.34 | 68 of 94 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | glutamate and glutamine metabolism | 71.43 | 20 of 28 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | pyrimidine metabolism | 66.67 | 30 of 45 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | heme metabolism | 64.29 | 9 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 64.29 | 9 of 14 | ||
| 66794 | pentose phosphate pathway | 63.64 | 7 of 11 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | histidine metabolism | 62.07 | 18 of 29 | ||
| 66794 | oxidative phosphorylation | 61.54 | 56 of 91 | ||
| 66794 | non-pathway related | 60.53 | 23 of 38 | ||
| 66794 | glycine betaine biosynthesis | 60 | 3 of 5 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | alanine metabolism | 58.62 | 17 of 29 | ||
| 66794 | methionine metabolism | 57.69 | 15 of 26 | ||
| 66794 | degradation of pentoses | 57.14 | 16 of 28 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | arginine metabolism | 54.17 | 13 of 24 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | lipid metabolism | 51.61 | 16 of 31 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | sulfopterin metabolism | 50 | 2 of 4 | ||
| 66794 | propionate fermentation | 50 | 5 of 10 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | suberin monomers biosynthesis | 50 | 1 of 2 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | lysine metabolism | 47.62 | 20 of 42 | ||
| 66794 | tryptophan metabolism | 47.37 | 18 of 38 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | ethylmalonyl-CoA pathway | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 40 | 2 of 5 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | isoprenoid biosynthesis | 38.46 | 10 of 26 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | methane metabolism | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | allantoin degradation | 33.33 | 3 of 9 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 33.33 | 4 of 12 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 30.77 | 4 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 29.41 | 5 of 17 | ||
| 66794 | ascorbate metabolism | 27.27 | 6 of 22 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 | ||
| 66794 | glutathione metabolism | 21.43 | 3 of 14 |
| @ref | URE | ADH (Arg) | alpha GAL | beta GAL | beta-Galactosidase 6-phosphatebeta GP | alpha GLU | beta GLU | alpha ARA | beta GUR | beta-N-Acetyl-beta-glucosaminidasebeta NAG | MNE | RAF | GDC | alpha FUC | Reduction of nitrateNIT | IND | PAL | L-arginine arylamidaseArgA | ProA | LGA | Phenylalanine arylamidasePheA | Leucine arylamidaseLeuA | PyrA | Tyrosine arylamidaseTyrA | Alanine arylamidaseAlaA | Glycin arylamidaseGlyA | Histidine arylamidaseHisA | Glutamyl-glutamate arylamidaseGGA | Serine arylamidaseSerA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17938 | - | - | + | + | - | +/- | - | - | - | - | - | - | - | - | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | |
| 17938 | - | - | + | + | - | +/- | - | - | - | - | - | - | - | - | - | - | +/- | - | - | - | - | - | - | - | - | - | - | - | - | |
| 17938 | - | - | + | + | - | + | + | - | - | - | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
| 17938 | Sample typehuman feces |
Global distribution of 16S sequence L76601 (>99% sequence identity) for Blautia obeum subclade from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 64.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 74.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 76.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 74.60 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.84 | yes |
| 125438 | aerobic | aerobicⓘ | no | 97.22 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 55.80 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.46 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 74.53 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Ecology- and genome-based identification of the Bifidobacterium adolescentis prototype of the healthy human gut microbiota. | Argentini C, Lugli GA, Tarracchini C, Fontana F, Mancabelli L, Viappiani A, Anzalone R, Angelini L, Alessandri G, Bianchi MG, Taurino G, Bussolati O, Milani C, van Sinderen D, Turroni F, Ventura M. | Appl Environ Microbiol | 10.1128/aem.02014-23 | 2024 | |
| Improved Quantitative Real-Time PCR Protocol for Detection and Quantification of Methanogenic Archaea in Stool Samples. | Cisek AA, Bak I, Cukrowska B. | Microorganisms | 10.3390/microorganisms11030660 | 2023 | ||
| Identification of novel fructo-oligosaccharide bacterial consumers by pulse metatranscriptomics in a human stool sample. | Prattico C, Gonzalez E, Dridi L, Jazestani S, Low KE, Abbott DW, Maurice CF, Castagner B. | mSphere | 10.1128/msphere.00668-24 | 2025 | ||
| Vitamin B12 analogues from gut microbes and diet differentially impact commensal propionate producers of the human gut. | Kundra P, Greppi A, Duppenthaler M, Pluss S, Pugin B, Lacroix C, Geirnaert A. | Front Nutr | 10.3389/fnut.2024.1360199 | 2024 | ||
| Ginsenoside Rg3 enriches SCFA-producing commensal bacteria to confer protection against enteric viral infection via the cGAS-STING-type I IFN axis. | Wang G, Liu J, Zhang Y, Xie J, Chen S, Shi Y, Shi F, Zhu SJ. | ISME J | 10.1038/s41396-023-01541-7 | 2023 | ||
| Dynamic metabolic interactions and trophic roles of human gut microbes identified using a minimal microbiome exhibiting ecological properties. | Shetty SA, Kostopoulos I, Geerlings SY, Smidt H, de Vos WM, Belzer C. | ISME J | 10.1038/s41396-022-01255-2 | 2022 | ||
| Metabolism | Gut microbial beta-glucuronidase and glycerol/diol dehydratase activity contribute to dietary heterocyclic amine biotransformation. | Zhang J, Lacroix C, Wortmann E, Ruscheweyh HJ, Sunagawa S, Sturla SJ, Schwab C. | BMC Microbiol | 10.1186/s12866-019-1483-x | 2019 | |
| Development of a reproducible small intestinal microbiota model and its integration into the SHIME®-system, a dynamic in vitro gut model. | Deyaert S, Moens F, Pirovano W, van den Bogert B, Klaassens ES, Marzorati M, Van de Wiele T, Kleerebezem M, Van den Abbeele P. | Front Microbiol | 10.3389/fmicb.2022.1054061 | 2022 | ||
| Effect of cryopreservation and lyophilization on viability and growth of strict anaerobic human gut microbes. | Bircher L, Geirnaert A, Hammes F, Lacroix C, Schwab C. | Microb Biotechnol | 10.1111/1751-7915.13265 | 2018 | ||
| Development of an in vitro Model of Human Gut Microbiota for Screening the Reciprocal Interactions With Antibiotics, Drugs, and Xenobiotics. | El Houari A, Ecale F, Mercier A, Crapart S, Laparre J, Soulard B, Ramnath M, Berjeaud JM, Rodier MH, Crepin A. | Front Microbiol | 10.3389/fmicb.2022.828359 | 2022 | ||
| Cultivation | MediaMatch: Prediction of Bacterial Growth on Different Culture Media Using the XGBoost Algorithm. | Liu J, Xu G, Liu W, Liu T, Li Y, Tu T, Luo H, Wu N, Yao B, Tian J, Zhang J, Guan F. | Microb Biotechnol | 10.1111/1751-7915.70245 | 2025 | |
| Phylogeny | The Impact of Bariatric Surgery on Gut Microbiota Composition and Diversity: A Longitudinal Analysis Using 16S rRNA Sequencing | Soroceanu R, Timofte D, Timofeiov S, Vlasceanu V, Maxim M, Miler A, Iordache A, Moscalu R, Moscalu M, Vacarean-Trandafir I, Amarandi R, Ivanov I, Pinzariu A. | Int J Mol Sci | 2025 | ||
| Enriched pathways in gut microbiome predict response to immune checkpoint inhibitor treatment across demographic regions and various cancer types. | Cai X, Cho JY, Chen L, Liu Y, Ji F, Salgado K, Ge S, Yang D, Yu H, Shao J, Futreal PA, Sepesi B, Gibbons D, Chen Y, Wang G, Cheng C, Wu M, Zhang J, Hsiao A, Xia T. | iScience | 10.1016/j.isci.2025.112162 | 2025 | ||
| Correlating the Gut Microbiota and Circulating Hormones with Acne Lesion Counts and Skin Biophysical Features. | Sivamani RK, Maloh J, Nong Y. | Microorganisms | 10.3390/microorganisms11082049 | 2023 | ||
| Phylogeny | Blautia-a new functional genus with potential probiotic properties? | Liu X, Mao B, Gu J, Wu J, Cui S, Wang G, Zhao J, Zhang H, Chen W. | Gut Microbes | 10.1080/19490976.2021.1875796 | 2021 | |
| Colorectal cancer-associated bacteria are broadly distributed in global microbiomes and drivers of precancerous change. | Minot SS, Li N, Srinivasan H, Ayers JL, Yu M, Koester ST, Stangis MM, Dominitz JA, Halberg RB, Grady WM, Dey N. | Sci Rep | 10.1038/s41598-024-70702-1 | 2024 | ||
| Enzymology | Precision modification of the human gut microbiota targeting surface-associated proteins. | Marcos-Fernandez R, Ruiz L, Blanco-Miguez A, Margolles A, Sanchez B. | Sci Rep | 10.1038/s41598-020-80187-3 | 2021 | |
| Gut microbiota dysbiosis in functional gastrointestinal disorders: Underpinning the symptoms and pathophysiology. | Wei L, Singh R, Ro S, Ghoshal UC. | JGH Open | 10.1002/jgh3.12528 | 2021 | ||
| Lipid complexation reduces rice starch digestibility and boosts short-chain fatty acid production via gut microbiota. | Shen Y, An Z, Huyan Z, Shu X, Wu D, Zhang N, Pellegrini N, Rubert J. | NPJ Sci Food | 10.1038/s41538-023-00230-1 | 2023 | ||
| Genetics | Insights on the Evolutionary Genomics of the Blautia Genus: Potential New Species and Genetic Content Among Lineages. | Maturana JL, Cardenas JP. | Front Microbiol | 10.3389/fmicb.2021.660920 | 2021 | |
| A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health. | Hatch A, Horne J, Toma R, Twibell BL, Somerville KM, Pelle B, Canfield KP, Genkin M, Banavar G, Perlina A, Messier H, Klitgord N, Vuyisich M. | Int J Genomics | 10.1155/2019/1718741 | 2019 | ||
| Genetics | High throughput genome scale modeling predicts microbial vitamin requirements contribute to gut microbiome community structure. | Molina Ortiz JP, Read MN, McClure DD, Holmes A, Dehghani F, Shanahan ER. | Gut Microbes | 10.1080/19490976.2022.2118831 | 2022 | |
| A dysbiotic gut microbiome suppresses antibody mediated-protection against Vibrio cholerae. | Macbeth JC, Liu R, Alavi S, Hsiao A. | iScience | 10.1016/j.isci.2021.103443 | 2021 | ||
| Metabolism | Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome. | Mars RAT, Yang Y, Ward T, Houtti M, Priya S, Lekatz HR, Tang X, Sun Z, Kalari KR, Korem T, Bhattarai Y, Zheng T, Bar N, Frost G, Johnson AJ, van Treuren W, Han S, Ordog T, Grover M, Sonnenburg J, D'Amato M, Camilleri M, Elinav E, Segal E, Blekhman R, Farrugia G, Swann JR, Knights D, Kashyap PC. | Cell | 10.1016/j.cell.2020.08.007 | 2020 | |
| Metabolism | The Stringent Response Determines the Ability of a Commensal Bacterium to Survive Starvation and to Persist in the Gut. | Schofield WB, Zimmermann-Kogadeeva M, Zimmermann M, Barry NA, Goodman AL. | Cell Host Microbe | 10.1016/j.chom.2018.06.002 | 2018 | |
| Phylogeny | Reclassification of Ruminococcus obeum as Blautia obeum comb. nov. | Lawson PA, Finegold SM | Int J Syst Evol Microbiol | 10.1099/ijs.0.000015 | 2014 | |
| Metabolism | Effects of long-term ingestion of difructose anhydride III (DFA III) on intestinal bacteria and bile acid metabolism in humans. | Minamida K, Asakawa C, Sujaya IN, Kaneko M, Abe A, Sone T, Hara H, Asano K, Tomita F | J Biosci Bioeng | 10.1263/jbb.101.149 | 2006 | |
| Phylogeny | Blautia intestinalis sp. nov., isolated from human feces. | Wang YJ, Abdugheni R, Liu C, Zhou N, You X, Liu SJ | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005005 | 2021 | |
| Phylogeny | Blautia faecis sp. nov., isolated from human faeces. | Park SK, Kim MS, Bae JW | Int J Syst Evol Microbiol | 10.1099/ijs.0.036541-0 | 2012 |
| #17938 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25238 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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 ) |
| #68380 | Automatically annotated from API rID32A . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive17684.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data