Sphingobium fuliginis KK22 is a bacterium that was isolated from cattle pasture soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Sphingomonadales |
| Family Sphingomonadaceae |
| Genus Sphingobium |
| Species Sphingobium fuliginis |
| Full scientific name Sphingobium fuliginis Prakash and Lal 2006 |
| Synonyms (1) |
| BacDive ID | Other strains from Sphingobium fuliginis (2) | Type strain |
|---|---|---|
| 14186 | S. fuliginis TKP, DSM 18781, CCM 7327, MTCC 7295, CIP ... (type strain) | |
| 14215 | S. fuliginis DSM 16637, ATCC 27551, CIP 104270 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 95.802 |
| @ref: | 21781 |
| multimedia content: | DSM_29313.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_29313.jpg |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21781 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water | ||
| 21781 | MINERAL MEDIUM WITH VITAMINS (DSMZ Medium 462) | Medium recipe at MediaDive | Name: MINERAL MEDIUM (BRUNNER) WITH VITAMINS (DSMZ Medium 462) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Casein peptone 15.0 g/l Peptone 5.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Meat extract 3.0 g/l Na2HPO4 2.44 g/l KH2PO4 1.52 g/l (NH4)2SO4 0.5 g/l MgSO4 x 7 H2O 0.2 g/l CaCl2 x 2 H2O 0.05 g/l EDTA 0.005 g/l FeSO4 x 7 H2O 0.002 g/l H3BO3 0.0003 g/l CoCl2 x 6 H2O 0.0002 g/l Pyridoxamine 0.000125 g/l ZnSO4 x 7 H2O 0.0001 g/l Nicotinic acid 5e-05 g/l Vitamin B12 5e-05 g/l Na2MoO4 x 2 H2O 3e-05 g/l MnCl2 x 4 H2O 3e-05 g/l p-Aminobenzoate 2.5e-05 g/l Thiamine-HCl x 2 H2O 2.5e-05 g/l NiCl2 x 6 H2O 2e-05 g/l Calcium pantothenate 1.25e-05 g/l CuCl2 x 2 H2O 1e-05 g/l Biotin 5e-06 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Grassland | |
| #Host | #Mammals | #Bovinae (Cow, Cattle) |
Global distribution of 16S sequence HQ830159 (>99% sequence identity) for Sphingobium from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21781 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1507480v1 assembly for Sphingobium fuliginis KK22 | complete | 336203 | 90.41 | ||||
| 67770 | ASM47417v2 assembly for Sphingobium fuliginis KK22 | contig | 336203 | 16.95 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21781 | Sphingobium fuliginis strain KK22 16S ribosomal RNA gene, partial sequence | HQ830159 | 1481 | 1054037 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.98 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 45.78 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 79.29 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.19 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.80 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.61 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.02 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.33 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.47 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 72.23 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Sphingobium barthaii sp. nov., a high molecular weight polycyclic aromatic hydrocarbon-degrading bacterium isolated from cattle pasture soil. | Maeda AH, Kunihiro M, Ozeki Y, Nogi Y, Kanaly RA | Int J Syst Evol Microbiol | 10.1099/ijs.0.000356 | 2015 |
| #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 ) |
| #21781 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29313 |
| #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; |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive130669.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data