Fuerstiella marisgermanici NH11 is a bacterium of the family Planctomycetaceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Planctomycetota |
| Class Planctomycetia |
| Order Planctomycetales |
| Family Planctomycetaceae |
| Genus Fuerstiella |
| Species Fuerstiella marisgermanici |
| Full scientific name Fuerstiella marisgermanici Kohn et al. 2020 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 65164 | PLANCTOMYCETES MEDIUM NH11 (DSMZ Medium 1524) | Medium recipe at MediaDive | Name: PLANCTOMYCETES MEDIUM NH11 (DSMZ Medium 1524) Composition: Agar 10.0671 g/l NaCl 7.87584 g/l MgCl2 x 6 H2O 3.57047 g/l HEPES 1.59732 g/l Na2SO4 1.31544 g/l MgSO4 x 7 H2O 0.41964 g/l CaCl2 0.369128 g/l Peptone 0.33557 g/l KCl 0.222819 g/l Glucose 0.167785 g/l Nitrilotriacetic acid 0.141293 g/l NaHCO3 0.0644295 g/l CaCl2 x 2 H2O 0.0471918 g/l KBr 0.0322148 g/l H3BO3 0.00872483 g/l SrCl2 0.00805369 g/l FeSO4 x 7 H2O 0.00139881 g/l NaF 0.00100671 g/l Na2MoO4 x 2 H2O 0.000179017 g/l Pyridoxine hydrochloride 6.71141e-05 g/l D-Calcium pantothenate 3.3557e-05 g/l Nicotinamide 3.3557e-05 g/l Thiamine-HCl x 2 H2O 3.3557e-05 g/l Riboflavine 3.3557e-05 g/l p-Aminobenzoic acid 3.3557e-05 g/l Folic acid 1.34228e-05 g/l Biotin 1.34228e-05 g/l Vitamin B12 6.71141e-07 g/l Metall salt sol. 44 Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 65164 | positive | growth | 20 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 99.728 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 94.031 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | kanosamine biosynthesis II | 100 | 2 of 2 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 100 | 6 of 6 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | quinate degradation | 100 | 2 of 2 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 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 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | glycine betaine biosynthesis | 100 | 5 of 5 | ||
| 66794 | glycolate and glyoxylate degradation | 100 | 6 of 6 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | selenocysteine biosynthesis | 83.33 | 5 of 6 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | purine metabolism | 80.85 | 76 of 94 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | gallate degradation | 80 | 4 of 5 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 80 | 4 of 5 | ||
| 66794 | methanofuran biosynthesis | 80 | 4 of 5 | ||
| 66794 | pyrimidine metabolism | 80 | 36 of 45 | ||
| 66794 | alanine metabolism | 79.31 | 23 of 29 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | methionine metabolism | 76.92 | 20 of 26 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | ketogluconate metabolism | 75 | 6 of 8 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | glutamate and glutamine metabolism | 75 | 21 of 28 | ||
| 66794 | degradation of pentoses | 75 | 21 of 28 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | peptidoglycan biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | degradation of hexoses | 72.22 | 13 of 18 | ||
| 66794 | degradation of sugar acids | 72 | 18 of 25 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | lipid metabolism | 67.74 | 21 of 31 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | lysine metabolism | 66.67 | 28 of 42 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | nitrate assimilation | 66.67 | 6 of 9 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | isoprenoid biosynthesis | 65.38 | 17 of 26 | ||
| 66794 | glutathione metabolism | 64.29 | 9 of 14 | ||
| 66794 | tryptophan metabolism | 63.16 | 24 of 38 | ||
| 66794 | carnitine metabolism | 62.5 | 5 of 8 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | histidine metabolism | 62.07 | 18 of 29 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | sulfate reduction | 61.54 | 8 of 13 | ||
| 66794 | vitamin B1 metabolism | 61.54 | 8 of 13 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | oxidative phosphorylation | 58.24 | 53 of 91 | ||
| 66794 | non-pathway related | 57.89 | 22 of 38 | ||
| 66794 | phenol degradation | 55 | 11 of 20 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | arachidonic acid metabolism | 50 | 9 of 18 | ||
| 66794 | methanogenesis from CO2 | 50 | 6 of 12 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | arginine metabolism | 50 | 12 of 24 | ||
| 66794 | ppGpp biosynthesis | 50 | 2 of 4 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | sphingosine metabolism | 50 | 3 of 6 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | vitamin E metabolism | 50 | 2 of 4 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 46.15 | 6 of 13 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | polyamine pathway | 43.48 | 10 of 23 | ||
| 66794 | ascorbate metabolism | 40.91 | 9 of 22 | ||
| 66794 | carotenoid biosynthesis | 40.91 | 9 of 22 | ||
| 66794 | 3-phenylpropionate degradation | 40 | 6 of 15 | ||
| 66794 | bacilysin biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | myo-inositol biosynthesis | 40 | 4 of 10 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | mevalonate metabolism | 28.57 | 2 of 7 | ||
| 66794 | chlorophyll metabolism | 27.78 | 5 of 18 | ||
| 66794 | cholesterol biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 |
| @ref | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 65164 | Neuharlingersiel | Germany | DEU | Europe |
Global distribution of 16S sequence KX757851 (>99% sequence identity) for Fuerstia marisgermanicae subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM198393v1 assembly for Fuerstiella marisgermanici NH11 | complete | 1891926 | 95.97 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 65164 | Fuerstiella marisgermanici strain NH11 16S ribosomal RNA gene, partial sequence | KX757851 | 1534 | 1891926 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.73 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 91.05 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 94.03 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 49.04 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.39 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 88.98 | no |
| 125438 | aerobic | aerobicⓘ | yes | 76.29 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 74.58 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.96 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 55.18 | no |
| #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 ) |
| #65164 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27554 |
| #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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