Flavobacterium fontis DSM 25660 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from fresh water pond.
Gram-negative rod-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Flavobacteriia |
| Order Flavobacteriales |
| Family Flavobacteriaceae |
| Genus Flavobacterium |
| Species Flavobacterium fontis |
| Full scientific name Flavobacterium fontis Chun et al. 2013 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20569 | R2A MEDIUM (DSMZ Medium 830) | Medium recipe at MediaDive | Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 30818 | NaCl | positive | optimum | 0.5 % |
| 30818 | Observationaggregates in clumps |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 30818 | 28644 ChEBI | 2-oxopentanoate | + | carbon source | |
| 30818 | 23652 ChEBI | dextrin | + | carbon source | |
| 30818 | 4853 ChEBI | esculin | + | hydrolysis | |
| 30818 | 24148 ChEBI | galactonate | + | carbon source | |
| 30818 | 29987 ChEBI | glutamate | + | carbon source | |
| 30818 | 15428 ChEBI | glycine | + | carbon source | |
| 30818 | 28087 ChEBI | glycogen | + | carbon source | |
| 30818 | 21217 ChEBI | L-alaninamide | + | carbon source | |
| 30818 | 26271 ChEBI | proline | + | carbon source | |
| 30818 | 26546 ChEBI | rhamnose | + | carbon source | |
| 30818 | 53423 ChEBI | tween 40 | + | carbon source |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | leucine metabolism | 76.92 | 10 of 13 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | tryptophan metabolism | 71.05 | 27 of 38 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | purine metabolism | 67.02 | 63 of 94 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | pyrimidine metabolism | 66.67 | 30 of 45 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | histidine metabolism | 65.52 | 19 of 29 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | alanine metabolism | 62.07 | 18 of 29 | ||
| 66794 | lysine metabolism | 61.9 | 26 of 42 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | glycine betaine biosynthesis | 60 | 3 of 5 | ||
| 66794 | arachidonate biosynthesis | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | glycolysis | 58.82 | 10 of 17 | ||
| 66794 | tyrosine metabolism | 57.14 | 8 of 14 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | non-pathway related | 55.26 | 21 of 38 | ||
| 66794 | lipid metabolism | 54.84 | 17 of 31 | ||
| 66794 | glutamate and glutamine metabolism | 53.57 | 15 of 28 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | suberin monomers biosynthesis | 50 | 1 of 2 | ||
| 66794 | isoprenoid biosynthesis | 50 | 13 of 26 | ||
| 66794 | isoleucine metabolism | 50 | 4 of 8 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | Entner Doudoroff pathway | 50 | 5 of 10 | ||
| 66794 | heme metabolism | 50 | 7 of 14 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | vitamin B1 metabolism | 46.15 | 6 of 13 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | carotenoid biosynthesis | 45.45 | 10 of 22 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | oxidative phosphorylation | 39.56 | 36 of 91 | ||
| 66794 | arginine metabolism | 37.5 | 9 of 24 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | proline metabolism | 36.36 | 4 of 11 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | valine metabolism | 33.33 | 3 of 9 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | androgen and estrogen metabolism | 31.25 | 5 of 16 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | ascorbate metabolism | 27.27 | 6 of 22 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | degradation of sugar acids | 24 | 6 of 25 | ||
| 66794 | urea cycle | 23.08 | 3 of 13 | ||
| 66794 | sulfate reduction | 23.08 | 3 of 13 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 | ||
| 66794 | arachidonic acid metabolism | 22.22 | 4 of 18 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Freshwater | |
| #Environmental | #Aquatic | #Pond (small) |
Global distribution of 16S sequence JN873147 (>99% sequence identity) for Flavobacterium from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 20569 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2695420946 annotated assembly for Flavobacterium fontis DSM 25660 | contig | 1124188 | 71.5 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20569 | Flavobacterium fontis strain MIC3010 16S ribosomal RNA gene, partial sequence | JN873147 | 1378 | 1124188 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.50 | no |
| 125439 | motility | BacteriaNetⓘ | no | 72.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.50 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 97.71 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 94.80 | no |
| 125438 | aerobic | aerobicⓘ | yes | 84.59 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 96.11 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 94.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Flavobacterium lutivivi sp. nov., isolated from activated sludge. | Feng Q, Han L, Nogi Y, Hong Q, Lv J | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000892 | 2016 | |
| Phylogeny | Flavobacterium fontis sp. nov., isolated from freshwater. | Chun J, Kang JY, Jahng KY | Int J Syst Evol Microbiol | 10.1099/ijs.0.045203-0 | 2012 | |
| Phylogeny | Flavobacterium stagni sp. nov., isolated from a freshwater reservoir. | Chen WM, Guo YP, Kwon SW, Sheu C, Sheu SY | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003488 | 2019 |
| #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 ) |
| #20569 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25660 |
| #30818 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27149 (see below) |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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