Azomonas agilis DSM 375 is a bacterium of the family Pseudomonadaceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Pseudomonadaceae |
| Genus Azomonas |
| Species Azomonas agilis |
| Full scientific name Azomonas agilis (Beijerinck 1901) Winogradsky 1938 (Approved Lists 1980) |
| Synonyms (1) |
| BacDive ID | Other strains from Azomonas agilis (1) | Type strain |
|---|---|---|
| 12718 | A. agilis 132, Johnstone 132, DSM 89, ATCC 12838 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 163 | DIAZOTROPHIC MEDIUM (RBA) (DSMZ Medium 441) | Medium recipe at MediaDive | Name: DIAZOTROPHIC MEDIUM (RBA) (DSMZ Medium 441) Composition: Agar 14.881 g/l DL-Malate 1.98413 g/l D-Glucose 1.98413 g/l D-Mannitol 1.98413 g/l Na-pyruvate 0.992063 g/l Disodium succinate 0.992063 g/l K2HPO4 0.892857 g/l KH2PO4 0.0992065 g/l NaCl 0.0992065 g/l CaCl2 x 2 H2O 0.0992065 g/l MgSO4 x 7 H2O 0.0992065 g/l Yeast extract 0.0496032 g/l FeSO4 x 7 H2O 0.00992065 g/l MnSO4 x H2O 0.00496032 g/l NaVO3 x H2O 0.00496032 g/l Nicotinic acid 0.00248016 g/l Pyridoxine hydrochloride 0.00248016 g/l Calcium pantothenate 0.00248016 g/l Thiamine-HCl x 2 H2O 0.00248016 g/l H3BO3 0.000892857 g/l CoCl2 x 6 H2O 0.000595238 g/l Riboflavin 0.000496032 g/l ZnSO4 x 7 H2O 0.000297619 g/l MnCl2 x 4 H2O 8.92857e-05 g/l Na2MoO4 x 2 H2O 8.92857e-05 g/l NiCl2 x 6 H2O 5.95238e-05 g/l Vitamin B12 4.96032e-05 g/l CuCl2 x 2 H2O 2.97619e-05 g/l Folic acid 9.92063e-06 g/l Biotin 4.96032e-06 g/l Distilled water | ||
| 163 | AZOTOBACTER MEDIUM (DSMZ Medium 3) | Medium recipe at MediaDive | Name: AZOTOBACTER MEDIUM (DSMZ Medium 3) Composition: Agar 15.0 g/l CaCO3 5.0 g/l Glucose 5.0 g/l Mannitol 5.0 g/l K2HPO4 0.9 g/l KH2PO4 0.1 g/l MgSO4 x 7 H2O 0.1 g/l CaCl2 x 2 H2O 0.1 g/l FeSO4 x 7 H2O 0.01 g/l Na2MoO4 x 2 H2O 0.005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 163 | positive | growth | 26 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | enterobactin biosynthesis | 100 | 3 of 3 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | ubiquinone biosynthesis | 100 | 7 of 7 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | taurine degradation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 100 | 14 of 14 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 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 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | glutathione metabolism | 85.71 | 12 of 14 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | vitamin B6 metabolism | 81.82 | 9 of 11 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | gallate degradation | 80 | 4 of 5 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | glutamate and glutamine metabolism | 78.57 | 22 of 28 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | pentose phosphate pathway | 72.73 | 8 of 11 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | sulfate reduction | 69.23 | 9 of 13 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | 3-phenylpropionate degradation | 66.67 | 10 of 15 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | purine metabolism | 65.96 | 62 of 94 | ||
| 66794 | non-pathway related | 65.79 | 25 of 38 | ||
| 66794 | lipid metabolism | 64.52 | 20 of 31 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | Entner Doudoroff pathway | 60 | 6 of 10 | ||
| 66794 | phenylacetate degradation (aerobic) | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | glycolysis | 58.82 | 10 of 17 | ||
| 66794 | tryptophan metabolism | 57.89 | 22 of 38 | ||
| 66794 | pyrimidine metabolism | 57.78 | 26 of 45 | ||
| 66794 | tyrosine metabolism | 57.14 | 8 of 14 | ||
| 66794 | polyamine pathway | 56.52 | 13 of 23 | ||
| 66794 | oxidative phosphorylation | 56.04 | 51 of 91 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | histidine metabolism | 51.72 | 15 of 29 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | arginine metabolism | 50 | 12 of 24 | ||
| 66794 | isoprenoid biosynthesis | 50 | 13 of 26 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 50 | 5 of 10 | ||
| 66794 | lysine metabolism | 47.62 | 20 of 42 | ||
| 66794 | vitamin B12 metabolism | 47.06 | 16 of 34 | ||
| 66794 | phenol degradation | 45 | 9 of 20 | ||
| 66794 | degradation of sugar acids | 40 | 10 of 25 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | elloramycin biosynthesis | 40 | 2 of 5 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | degradation of pentoses | 39.29 | 11 of 28 | ||
| 66794 | androgen and estrogen metabolism | 37.5 | 6 of 16 | ||
| 66794 | carnitine metabolism | 37.5 | 3 of 8 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | arachidonic acid metabolism | 27.78 | 5 of 18 | ||
| 66794 | cholesterol biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | toluene degradation | 25 | 1 of 4 |
Global distribution of 16S sequence AB681882 (>99% sequence identity) for Azomonas agilis subclade from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 90.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 89.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 83.19 | no |
| 125438 | aerobic | aerobicⓘ | yes | 64.06 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 93.80 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.48 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 79.14 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Biodiversity of denitrifying and dinitrogen-fixing bacteria in an acid forest soil. | Rosch C, Mergel A, Bothe H. | Appl Environ Microbiol | 10.1128/aem.68.8.3818-3829.2002 | 2002 | |
| Molecular analysis of diazotroph diversity in the rhizosphere of the smooth cordgrass, Spartina alterniflora. | Lovell CR, Piceno YM, Quattro JM, Bagwell CE. | Appl Environ Microbiol | 10.1128/aem.66.9.3814-3822.2000 | 2000 | ||
| Metabolism | Detection and quantification of methyl tert-butyl ether-degrading strain PM1 by real-time TaqMan PCR. | Hristova KR, Lutenegger CM, Scow KM. | Appl Environ Microbiol | 10.1128/aem.67.11.5154-5160.2001 | 2001 | |
| Enzymology | Detection of alternative nitrogenases in aerobic gram-negative nitrogen-fixing bacteria. | Fallik E, Chan YK, Robson RL | J Bacteriol | 10.1128/jb.173.1.365-371.1991 | 1991 |
| #163 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 375 |
| #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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