Sphaerotilus mobilis FeOx-1 is a bacterium that was isolated from freshwater sediment.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Burkholderiales |
| Family Sphaerotilaceae |
| Genus Sphaerotilus |
| Species Sphaerotilus mobilis |
| Full scientific name Sphaerotilus mobilis (Spring et al. 1997) Liu et al. 2023 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 3987 | SPHAEROTILUS-LEPTOTHRIX MEDIUM (DSMZ Medium 803) | Medium recipe at MediaDive | Name: SPHAEROTILUS-LEPTOTHRIX MEDIUM (DSMZ Medium 803) Composition: Agar 20.0 g/l Peptone 1.5 g/l Yeast extract 1.0 g/l Ferric ammonium citrate 0.5 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l CaCl2 0.05 g/l FeCl3 x 6 H2O 0.01 g/l Tap water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 3987 | positive | growth | 25 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 97.2 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | photosynthesis | 100 | 14 of 14 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | butanoate fermentation | 100 | 4 of 4 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | Entner Doudoroff pathway | 100 | 10 of 10 | ||
| 66794 | gallate degradation | 100 | 5 of 5 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | citric acid cycle | 92.86 | 13 of 14 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | 3-phenylpropionate degradation | 86.67 | 13 of 15 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | leucine metabolism | 84.62 | 11 of 13 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | glycolate and glyoxylate degradation | 83.33 | 5 of 6 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | phenol degradation | 80 | 16 of 20 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | methanofuran biosynthesis | 80 | 4 of 5 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | purine metabolism | 78.72 | 74 of 94 | ||
| 66794 | tetrahydrofolate metabolism | 78.57 | 11 of 14 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | arginine metabolism | 75 | 18 of 24 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | methanogenesis from CO2 | 75 | 9 of 12 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | non-pathway related | 73.68 | 28 of 38 | ||
| 66794 | tryptophan metabolism | 73.68 | 28 of 38 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | chlorophyll metabolism | 72.22 | 13 of 18 | ||
| 66794 | degradation of sugar acids | 72 | 18 of 25 | ||
| 66794 | glutathione metabolism | 71.43 | 10 of 14 | ||
| 66794 | degradation of pentoses | 71.43 | 20 of 28 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 70 | 7 of 10 | ||
| 66794 | urea cycle | 69.23 | 9 of 13 | ||
| 66794 | sulfate reduction | 69.23 | 9 of 13 | ||
| 66794 | methionine metabolism | 69.23 | 18 of 26 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | oxidative phosphorylation | 68.13 | 62 of 91 | ||
| 66794 | nitrate assimilation | 66.67 | 6 of 9 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 66.67 | 8 of 12 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | pyrimidine metabolism | 64.44 | 29 of 45 | ||
| 66794 | tyrosine metabolism | 64.29 | 9 of 14 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | androgen and estrogen metabolism | 62.5 | 10 of 16 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of hexoses | 61.11 | 11 of 18 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | vitamin K metabolism | 60 | 3 of 5 | ||
| 66794 | lysine metabolism | 59.52 | 25 of 42 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | allantoin degradation | 55.56 | 5 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 55.56 | 5 of 9 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | d-xylose degradation | 54.55 | 6 of 11 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | polyamine pathway | 47.83 | 11 of 23 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | carotenoid biosynthesis | 45.45 | 10 of 22 | ||
| 66794 | vitamin B12 metabolism | 44.12 | 15 of 34 | ||
| 66794 | ascorbate metabolism | 40.91 | 9 of 22 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 30.77 | 4 of 13 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 29.41 | 5 of 17 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Sediment | |
| #Environmental | #Aquatic | #Freshwater |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 3987 | freshwater sediment | Bavaria, Chiemsee | Germany | DEU | Europe |
Global distribution of 16S sequence X97071 (>99% sequence identity) for Leptothrix mobilis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM421656v1 assembly for Sphaerotilus mobilis DSM 10617 | scaffold | 47994 | 76.13 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | L.mobilis 16S rRNA gene | X97071 | 1521 | 47994 |
| 3987 | GC-content (mol%)68 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 94.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 79.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 94.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.49 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 91.63 | no |
| 125438 | aerobic | aerobicⓘ | yes | 78.60 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.25 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.74 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 79.07 | no |
| #3987 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 10617 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #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/bacdive17930.20251217.10
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