unclassified bacterium NapHS2 is an anaerobe prokaryote that was isolated from black anoxic marine sediment.
anaerobe genome sequence 16S sequence| @ref 5361 |
| Phylum Not assigned to order |
| Class Not assigned to order |
| Order Clostridiales |
| Family Not assigned to family |
| Genus unclassified |
| Species unclassified bacterium |
| Full scientific name unclassified bacterium |
| Strain designation NapHS2 |
| Type strain no |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5361 | DESULFOBACTERIUM MEDIUM (DSMZ Medium 383) | Medium recipe at MediaDive | Name: DESULFOBACTERIUM MEDIUM (DSMZ Medium 383; with strain-specific modifications) Composition: NaCl 20.9372 g/l Na2SO4 2.99103 g/l MgCl2 x 6 H2O 2.99103 g/l Na2CO3 0.997009 g/l KCl 0.498504 g/l Na2S x 9 H2O 0.398804 g/l Naphthalene 0.398804 g/l NH4Cl 0.299103 g/l KH2PO4 0.199402 g/l CaCl2 x 2 H2O 0.149551 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l Sodium resazurin 0.000498504 g/l NaOH 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l Pyridoxine hydrochloride 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Biotin 1.99402e-05 g/l Folic acid 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Vitamin B12 9.97009e-07 g/l 2,2,4,4,6,8,8-Heptamethylnonane |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 5361 | positive | growth | 30 |
| 5361 | Oxygen toleranceanaerobe |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Marine | |
| #Environmental | #Terrestrial | #Sediment | |
| #Condition | #Anoxic (anaerobic) | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 5361 | black anoxic marine sediment | North Sea Coast near Wilhelmshaven, Horumersiel | Germany | DEU | Europe |
Global distribution of 16S sequence AJ132804 (>99% sequence identity) for Desulfobacteraceae from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM17931v1 assembly for delta proteobacterium NaphS2 | contig | 88274 | 0 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5361 | delta proteobacterium NaphS2 16S rRNA gene | AJ132804 | 1477 | 88274 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 74.99 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 45.45 | no |
| 125439 | motility | BacteriaNetⓘ | no | 63.08 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 68.77 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.94 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 70.88 | yes |
| 125438 | aerobic | aerobicⓘ | no | 74.94 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 81.45 | no |
| 125438 | thermophilic | thermophileⓘ | no | 87.23 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 54.04 | no |
| #5361 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14454 |
| #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) . |
| #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 . |
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https://doi.org/10.13145/bacdive23392.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data