Enterocloster clostridioformis YL32 is an anaerobe bacterium that was isolated from C57Bl/6J wildtype mouse.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Lachnospiraceae |
| Genus Enterocloster |
| Species Enterocloster clostridioformis |
| Full scientific name Enterocloster clostridioformis (Burri and Ankersmit 1906) Haas and Blanchard 2020 |
| Synonyms (4) |
| BacDive ID | Other strains from Enterocloster clostridioformis (2) | Type strain |
|---|---|---|
| 2569 | E. clostridioformis T90, DSM 933, ATCC 25537, CCUG 16791, NCTC ... (type strain) | |
| 158909 | E. clostridioformis H4_30, DSM 108191 |
| 22208 | Incubation period1-2 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22208 | CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water | ||
| 22208 | 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) | |
|---|---|---|---|---|
| 22208 | positive | growth | 37 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | 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 | alkaline phosphatase | - | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | - | 3.2.1.55 | from API rID32A |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucosidase | - | 3.2.1.21 | 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 | 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 22208 | - | - | - | - | - | - | - | - | +/- | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 22208 | - | - | + | + | - | - | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 22208 | - | - | + | + | - | + | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 22208 | C57Bl/6J wildtype mouse | Zurich | Switzerland | CHE | Europe |
Global distribution of 16S sequence KR364750 (>99% sequence identity) for Enterocloster clostridioformis subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22208 | 2 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1669678v1 assembly for Enterocloster clostridioformis YL32 | chromosome | 1531 | 55.64 | ||||
| 66792 | ASM222154v1 assembly for Enterocloster clostridioformis YL32 | contig | 1531 | 46.33 | ||||
| 66792 | ASM1020618v1 assembly for Enterocloster clostridioformis YL32 | contig | 1531 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22208 | Enterocloster clostridioformis strain YL32 16S ribosomal RNA gene, partial sequence | KR364750 | 1444 | 1531 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 76.90 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 78.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 66.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 61.57 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 84.46 | no |
| 125438 | aerobic | aerobicⓘ | no | 95.82 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 63.91 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.49 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 72.26 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Sulfoquinovose is exclusively metabolized by the gut microbiota and degraded differently in mice and humans. | Krasenbrink J, Hanson BT, Weiss AS, Borusak S, Tanabe TS, Lang M, Aichinger G, Hausmann B, Berry D, Richter A, Marko D, Mussmann M, Schleheck D, Stecher B, Loy A. | Microbiome | 10.1186/s40168-025-02175-x | 2025 | |
| The human intestinal bacterium Eggerthella lenta influences gut metabolomes in gnotobiotic mice | Viehof A, Haange S, Streidl T, Schubert K, Engelmann B, Haller D, Rolle-Kampczyk U, von Bergen M, Clavel T. | Microbiome Res Rep | 2024 | |||
| A standardized gnotobiotic mouse model harboring a minimal 15-member mouse gut microbiota recapitulates SOPF/SPF phenotypes. | Darnaud M, De Vadder F, Bogeat P, Boucinha L, Bulteau AL, Bunescu A, Couturier C, Delgado A, Dugua H, Elie C, Mathieu A, Novotna T, Ouattara DA, Planel S, Saliou A, Srutkova D, Yansouni J, Stecher B, Schwarzer M, Leulier F, Tamellini A. | Nat Commun | 10.1038/s41467-021-26963-9 | 2021 | ||
| Metabolism | The gut bacterium Extibacter muris produces secondary bile acids and influences liver physiology in gnotobiotic mice. | Streidl T, Karkossa I, Segura Munoz RR, Eberl C, Zaufel A, Plagge J, Schmaltz R, Schubert K, Basic M, Schneider KM, Afify M, Trautwein C, Tolba R, Stecher B, Doden HL, Ridlon JM, Ecker J, Moustafa T, von Bergen M, Ramer-Tait AE, Clavel T. | Gut Microbes | 10.1080/19490976.2020.1854008 | 2021 | |
| Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community. | Weiss AS, Niedermeier LS, von Strempel A, Burrichter AG, Ring D, Meng C, Kleigrewe K, Lincetto C, Hubner J, Stecher B. | Nat Commun | 10.1038/s41467-023-40372-0 | 2023 | ||
| Bacteriophages targeting protective commensals impair resistance against Salmonella Typhimurium infection in gnotobiotic mice. | von Strempel A, Weiss AS, Wittmann J, Salvado Silva M, Ring D, Wortmann E, Clavel T, Debarbieux L, Kleigrewe K, Stecher B. | PLoS Pathog | 10.1371/journal.ppat.1011600 | 2023 |
| #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 ) |
| #22208 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26114 |
| #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) . |
| #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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