Sandarakinorhabdus fusca D40P is a mesophilic prokaryote that was isolated from permafrost soil.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Sphingomonadales |
| Family Sphingosinicellaceae |
| Genus Sandarakinorhabdus |
| Species Sandarakinorhabdus fusca |
| Full scientific name Sandarakinorhabdus fusca (Jia et al. 2015) Wang et al. 2025 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 24747 | 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 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Permafrost | |
| #Environmental | #Terrestrial | #Soil |
Global distribution of 16S sequence KF737330 (>99% sequence identity) for Polymorphobacter from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 24747 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM1192782v1 assembly for Sandarakinorhabdus fusca DSM 105347 | contig | 1439888 | 79.02 | ||||
| 66792 | ASM937207v1 assembly for Sandarakinorhabdus fusca D40P | scaffold | 1439888 | 76.04 | ||||
| 66792 | ASM960767v1 assembly for Sandarakinorhabdus fusca D40P | scaffold | 1439888 | 76.04 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 24747 | Polymorphobacter fuscus strain D40P 16S ribosomal RNA gene, partial sequence | KF737330 | 1452 | 1439888 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 67.4 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 74.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.80 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.56 | no |
| 125438 | aerobic | aerobicⓘ | yes | 85.39 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.95 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.48 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 61.07 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Polymorphobacter fuscus sp. nov., isolated from permafrost soil, and emended description of the genus Polymorphobacter. | Jia L, Feng X, Zheng Z, Han L, Hou X, Lu Z, Lv J | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000514 | 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 ) |
| #24747 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105347 |
| #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 ) |
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https://doi.org/10.13145/bacdive132959.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data