Sphingomonas naasensis KIS18-15 is a mesophilic prokaryote that was isolated from forest soil.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Sphingomonadales |
| Family Sphingomonadaceae |
| Genus Sphingomonas |
| Species Sphingomonas naasensis |
| Full scientific name Sphingomonas naasensis Kim et al. 2014 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21790 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 21790 | positive | growth | 28 | mesophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Forest | |
| #Environmental | #Terrestrial | #Soil |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 21790 | forest soil | Baengnyeong Island | Republic of Korea | KOR | Asia |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21790 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1176214v1 assembly for Sphingomonas naasensis DSM 100060 | scaffold | 1344951 | 77.64 | ||||
| 66792 | ASM479269v1 assembly for Sphingomonas naasensis KIS18-15 | scaffold | 1344951 | 75.08 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21790 | Sphingomonas naasensis strain KIS18-15 from South Korea 16S ribosomal RNA gene, partial sequence | KC735149 | 1426 | 1344951 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 62.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 94.58 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.46 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.16 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.60 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.89 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 67.65 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Characterization of vB_StuS_MMDA13, a Newly Discovered Bacteriophage Infecting the Agar-Degrading Species Sphingomonas turrisvirgatae. | Marmo P, Thaller MC, Di Lallo G, Henrici De Angelis L, Poerio N, De Santis F, Fraziano M, Migliore L, D'Andrea MM. | Viruses | 10.3390/v12080894 | 2020 | |
| Phylogeny | Sphingomonas gei sp. nov., isolated from roots of Geum aleppicum. | Zhu L, Si M, Li C, Xin K, Chen C, Shi X, Huang R, Zhao L, Shen X, Zhang L | Int J Syst Evol Microbiol | 10.1099/ijs.0.000074 | 2015 | |
| Phylogeny | Sphingomonas aerophila sp. nov. and Sphingomonas naasensis sp. nov., isolated from air and soil, respectively. | Kim SJ, Moon JY, Lim JM, Ahn JH, Weon HY, Ahn TY, Kwon SW | Int J Syst Evol Microbiol | 10.1099/ijs.0.055269-0 | 2013 | |
| Phylogeny | Sphingomonas psychrotolerans sp. nov., isolated from root surface of Leontopodium leontopodioides in the Tianshan Mountains, Xinjiang, China. | Luo Y, Zhou M, Wang F, Sheng H | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005396 | 2022 |
| #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 ) |
| #21790 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100060 |
| #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/bacdive130679.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data