EE-36 is a mesophilic, Gram-negative bacterium that was isolated from salt marsh.
Gram-negative mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodobacterales |
| Family Roseobacteraceae |
| Genus Sulfitobacter |
| Full scientific name Sulfitobacter Sorokin 1996 |
| Synonyms (3) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18936 | BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) | Medium recipe at MediaDive | Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 18936 | positive | growth | 28 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 18936 | salt marsh | Georgia | USA | USA | North America |
Global distribution of 16S sequence AF007254 (>99% sequence identity) for Sulfitobacter pontiacus from Microbeatlas ![]()
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 18936 | Sulfitobacter sp. EE-36 16S ribosomal RNA gene, partial sequence | AF007254 | 1376 | 52598 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 92.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 71.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 92.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.36 | no |
| 125438 | aerobic | aerobicⓘ | yes | 83.31 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.49 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.72 | no |
| 125438 | flagellated | motile2+ⓘ | no | 54.30 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Genome sequences of two novel phages infecting marine roseobacters. | Zhao Y, Wang K, Jiao N, Chen F | Environ Microbiol | 10.1111/j.1462-2920.2009.01927.x | 2009 |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 87455 | 298253 | ATCC BAA-1142 |
| Culture collection no. | |
|---|---|
| DSM 11700 | |
| ATCC BAA-1142 | |
| EE-36 |
| #18936 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 11700 |
| #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 ) |
| #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 . |
| #87455 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID298253.1 ) |
| #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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