Flavobacteriaceae not further classified Hel3_A1_48 is a psychrophilic bacterium that was isolated from seawater sample.
psychrophilic genome sequence| @ref 68793 |
| Domain Bacteria |
| Phylum Bacteroidetes |
| Class Flavobacteriia |
| Order Flavobacteriales |
| Family Flavobacteriaceae |
| Genus Flavobacteriaceae |
| Species Flavobacteriaceae not further classified |
| Full scientific name Flavobacteriaceae not further classified |
| Strain designation Hel3_A1_48 |
| Type strain no |
| BacDive ID | Other strains from Flavobacteriaceae not further classified (6) | Type strain |
|---|---|---|
| 169578 | F. not further classified MAR_2010_119, DSM 29519 | |
| 169579 | F. not further classified MAR_2010_10, DSM 29520 | |
| 169580 | F. not further classified MAR_2010_72, DSM 29523 | |
| 169581 | F. not further classified MAR_2010_118, DSM 29524 | |
| 169582 | F. not further classified MAR_2010_188, DSM 29658 | |
| 169583 | F. not further classified Hel1_33_5, DSM 29895 |
| @ref: | 68793 |
| multimedia content: | DSM_29894.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_29894.jpg |
| caption: | DSM 29894, scale bar represents 2µm |
| intellectual property rights: | Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 68793 | HAHA100MOD V2– MEDIUM (DSMZ Medium 1566) | Medium recipe at MediaDive | Name: HAHA100MOD V2– MEDIUM (DSMZ Medium 1566) Composition: NaCl 26.37 g/l MgSO4 x 7 H2O 6.8 g/l MgCl2 x 6 H2O 5.67 g/l CaCl2 x 2 H2O 1.47 g/l KCl 0.72 g/l NaHCO3 0.168014 g/l Cellobiose 0.1 g/l Tryptone peptone 0.1 g/l Casamino acids 0.1 g/l KBr 0.1 g/l ?-D-Glucose monohydrate 0.1 g/l Yeast extract 0.1 g/l H3BO3 0.02 g/l SrCl2 0.02 g/l KH2PO4 0.02 g/l Na2-EDTA 0.0104 g/l Pyridoxine hydrochloride 0.005 g/l Thiamine-HCl x 2 H2O 0.005 g/l Calcium pantothenate 0.005 g/l Nicotinic acid 0.005 g/l NaF 0.003 g/l FeCl2 x 4 H2O 0.003 g/l Riboflavin 0.001 g/l NaOH 0.001 g/l NH4Cl 0.0008 g/l CoCl2 x 6 H2O 0.00038 g/l MnCl2 x 4 H2O 0.0002 g/l ZnCl2 0.00014 g/l Vitamin B12 0.0001 g/l Na2MoO4 x 2 H2O 7.2e-05 g/l NiCl2 x 6 H2O 4.8e-05 g/l CuCl2 x 2 H2O 3.4e-05 g/l Folic acid 2e-05 g/l Biotin 1e-05 g/l Na2WO4 x 2 H2O 8e-06 g/l Na2SeO3 x 5 H2O 6e-06 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 68793 | positive | growth | 20 | psychrophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 68793 | seawater sample | Helgoland | Germany | DEU | Europe | 54.1842 | 7.9 54.1842/7.9 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM173571v1 assembly for Formosa sp. Hel3_A1_48 | complete | 1336795 | 99.58 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 76.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.90 | 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 | 97.47 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.66 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.61 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.94 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.65 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 95.50 | no |
| #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) . |
| #68793 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29894 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive169501.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data