Collinsella stercoris RCA55-54 is an anaerobe, mesophilic, Gram-positive prokaryote that was isolated from human feces.
Gram-positive rod-shaped anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Coriobacteriia |
| Order Coriobacteriales |
| Family Coriobacteriaceae |
| Genus Collinsella |
| Species Collinsella stercoris |
| Full scientific name Collinsella stercoris Kageyama and Benno 2000 |
| BacDive ID | Other strains from Collinsella stercoris (4) | Type strain |
|---|---|---|
| 161011 | C. stercoris JCM 10642 | |
| 161024 | C. stercoris JCM 10709 | |
| 161025 | C. stercoris JCM 10710 | |
| 161026 | C. stercoris JCM 10711 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4989 | 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 | ||
| 123314 | CIP Medium 137 | Medium recipe at CIP |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.5 |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 4989 | A21.04 | A4ß L-Orn-D-Asp |
| @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 | 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 | alpha-glucosidase | - | 3.2.1.20 | 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-glucosidase | - | 3.2.1.21 | 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 | L-arginine arylamidase | + | 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4989 | - | - | - | + | - | - | - | - | - | + | - | - | - | - | - | - | +/- | + | - | - | - | +/- | - | - | - | +/- | +/- | - | - | |
| 4989 | - | - | - | + | - | - | - | - | - | + | - | - | - | - | - | - | + | + | - | - | - | + | - | - | - | + | + | - | - |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Collinsella stercoris DSM 13279 strain FDAARGOS_1572 | complete | 445975 | 98.82 | ||||
| 66792 | ASM2073546v1 assembly for Collinsella stercoris DSM 13279 FDAARGOS_1572 | complete | 445975 | 96.33 | ||||
| 66792 | ASM2514962v1 assembly for Collinsella stercoris DSM 13279 | complete | 147206 | 95.81 | ||||
| 67770 | ASM15621v1 assembly for Collinsella stercoris DSM 13279 | scaffold | 445975 | 40.3 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 4989 | 61.2 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 85.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 94.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 77.59 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.62 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.84 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 79.97 | no |
| 125438 | thermophilic | thermophileⓘ | no | 91.06 | no |
| 125438 | flagellated | motile2+ⓘ | no | 85.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Transcriptome | Gut metatranscriptomics based de novo assembly reveals microbial signatures predicting immunotherapy outcomes in non-small cell lung cancer. | Dora D, Kiraly P, Somodi C, Ligeti B, Dulka E, Galffy G, Lohinai Z. | J Transl Med | 10.1186/s12967-024-05835-y | 2024 | |
| Mapping the T cell repertoire to a complex gut bacterial community. | Nagashima K, Zhao A, Atabakhsh K, Bae M, Blum JE, Weakley A, Jain S, Meng X, Cheng AG, Wang M, Higginbottom S, Dimas A, Murugkar P, Sattely ES, Moon JJ, Balskus EP, Fischbach MA. | Nature | 10.1038/s41586-023-06431-8 | 2023 | ||
| Cellular assays identify barriers impeding iron-sulfur enzyme activity in a non-native prokaryotic host. | D'Angelo F, Fernandez-Fueyo E, Garcia PS, Shomar H, Pelosse M, Manuel RR, Buke F, Liu S, van den Broek N, Duraffourg N, de Ram C, Pabst M, Bouveret E, Gribaldo S, Py B, Ollagnier de Choudens S, Barras F, Bokinsky G. | Elife | 10.7554/elife.70936 | 2022 | ||
| The changing metabolic landscape of bile acids - keys to metabolism and immune regulation. | Mohanty I, Allaband C, Mannochio-Russo H, El Abiead Y, Hagey LR, Knight R, Dorrestein PC. | Nat Rev Gastroenterol Hepatol | 10.1038/s41575-024-00914-3 | 2024 | ||
| 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 | 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 | |
| Genetics | Comparative Genomic Analysis of the Human Gut Microbiome Reveals a Broad Distribution of Metabolic Pathways for the Degradation of Host-Synthetized Mucin Glycans and Utilization of Mucin-Derived Monosaccharides. | Ravcheev DA, Thiele I. | Front Genet | 10.3389/fgene.2017.00111 | 2017 | |
| Autometa: automated extraction of microbial genomes from individual shotgun metagenomes. | Miller IJ, Rees ER, Ross J, Miller I, Baxa J, Lopera J, Kerby RL, Rey FE, Kwan JC. | Nucleic Acids Res | 10.1093/nar/gkz148 | 2019 | ||
| Genetics | Stemming epigenetics in marine stramenopiles. | Maumus F, Rabinowicz P, Bowler C, Rivarola M. | Curr Genomics | 10.2174/138920211796429727 | 2011 | |
| Metabolism | Completion of the gut microbial epi-bile acid pathway. | Doden HL, Wolf PG, Gaskins HR, Anantharaman K, Alves JMP, Ridlon JM | Gut Microbes | 10.1080/19490976.2021.1907271 | 2021 | |
| Genetics | Non-contiguous finished genome sequence and description of Collinsella massiliensis sp. nov. | Padmanabhan R, Dubourg G, Jean-Christophe lagier, Nguyen TT, Couderc C, Rossi-Tamisier M, Caputo A, Raoult D, Fournier PE. | Stand Genomic Sci | 10.4056/sigs.5399696 | 2014 | |
| 'Collinsella provencensis' sp. nov., 'Parabacteroides bouchesdurhonensis' sp. nov. and 'Sutterella seckii,' sp. nov., three new bacterial species identified from human gut microbiota. | Dione N, Ngom II, Valles C, Cadoret F, Fournier PE, Raoult D, Lagier JC. | New Microbes New Infect | 10.1016/j.nmni.2018.02.003 | 2018 |
| #4989 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13279 |
| #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 ) |
| #56721 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 45295 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68380 | Automatically annotated from API rID32A . |
| #123314 | Collection of Institut Pasteur ; Curators of the CIP; CIP 106913 |
| #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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