Catenisphaera adipataccumulans GK12 is a bacterium that was isolated from anaerobic methanogenic digester fed with food waste.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Erysipelotrichia |
| Order Erysipelotrichales |
| Family Erysipelotrichaceae |
| Genus Catenisphaera |
| Species Catenisphaera adipataccumulans |
| Full scientific name Catenisphaera adipataccumulans Kanno et al. 2015 |
| @ref | Motility | Confidence | |
|---|---|---|---|
| 125438 | 92.667 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 64770 | 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) | |
|---|---|---|---|---|
| 64770 | positive | growth | 37 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Waste | #Domestic waste | |
| #Engineered | #Waste | #Sewage sludge |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 64770 | anaerobic methanogenic digester fed with food waste | Hokkaido Prefecture, Hukagawa | Japan | JPN | Asia |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 64770 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1420275v1 assembly for Catenisphaera adipataccumulans DSM 25799 | scaffold | 700500 | 70.58 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 64770 | Catenisphaera adipataccumulans gene for 16S rRNA, partial sequence | AB537978 | 1419 | 700500 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 64770 | 47.7 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 64.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 66.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 84.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 88.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 86.33 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 79.69 | no |
| 125438 | aerobic | aerobicⓘ | no | 95.39 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 77.37 | no |
| 125438 | thermophilic | thermophileⓘ | no | 91.61 | no |
| 125438 | flagellated | motile2+ⓘ | no | 92.67 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Catenisphaera adipataccumulans gen. nov., sp. nov., a member of the family Erysipelotrichaceae isolated from an anaerobic digester. | Kanno M, Katayama T, Morita N, Tamaki H, Hanada S, Kamagata Y | Int J Syst Evol Microbiol | 10.1099/ijs.0.000021 | 2014 |
| #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 ) |
| #64770 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25799 |
| #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) . |
| #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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https://doi.org/10.13145/bacdive158177.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data