Sporomusa silvacetica DG-1 is an anaerobe, mesophilic prokaryote that was isolated from soil of beech forest.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Negativicutes |
| Order Selenomonadales |
| Family Sporomusaceae |
| Genus Sporomusa |
| Species Sporomusa silvacetica |
| Full scientific name Sporomusa silvacetica Kuhner et al. 1997 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4031 | SPOROMUSA ACIDOVORANS MEDIUM (DSMZ Medium 311c) | Medium recipe at MediaDive | Name: SPOROMUSA ACIDOVORANS MEDIUM (DSMZ Medium 311c) Composition: D-Fructose 4.97512 g/l NaCl 2.23881 g/l Yeast extract 1.99005 g/l Casitone 1.99005 g/l Na2CO3 0.995025 g/l MgSO4 x 7 H2O 0.497512 g/l NH4Cl 0.497512 g/l K2HPO4 0.348259 g/l Na2S x 9 H2O 0.298507 g/l L-Cysteine HCl x H2O 0.298507 g/l CaCl2 x 2 H2O 0.248756 g/l KH2PO4 0.228856 g/l HCl 0.00248756 g/l FeSO4 x 7 H2O 0.00199005 g/l FeCl2 x 4 H2O 0.00149254 g/l NaOH 0.000497512 g/l Sodium resazurin 0.000497512 g/l CoCl2 x 6 H2O 0.000189055 g/l Pyridoxine hydrochloride 9.95025e-05 g/l MnCl2 x 4 H2O 9.95025e-05 g/l ZnCl2 6.96517e-05 g/l p-Aminobenzoic acid 4.97512e-05 g/l Calcium D-(+)-pantothenate 4.97512e-05 g/l Nicotinic acid 4.97512e-05 g/l Riboflavin 4.97512e-05 g/l Thiamine HCl 4.97512e-05 g/l (DL)-alpha-Lipoic acid 4.97512e-05 g/l Na2MoO4 x 2 H2O 3.58209e-05 g/l NiCl2 x 6 H2O 2.38806e-05 g/l Biotin 1.99005e-05 g/l Folic acid 1.99005e-05 g/l H3BO3 5.97015e-06 g/l Na2WO4 x 2 H2O 3.9801e-06 g/l Na2SeO3 x 5 H2O 2.98507e-06 g/l CuCl2 x 2 H2O 1.99005e-06 g/l Vitamin B12 9.95025e-07 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 4031 | positive | growth | 25 | mesophilic |
| 4031 | Oxygen toleranceanaerobe |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | hydrogen production | 100 | 5 of 5 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 100 | 8 of 8 | ||
| 66794 | acetoin degradation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | aminopropanol phosphate biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | lactate fermentation | 100 | 4 of 4 | ||
| 66794 | serine metabolism | 100 | 9 of 9 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | isoleucine metabolism | 100 | 8 of 8 | ||
| 66794 | glutamate and glutamine metabolism | 92.86 | 26 of 28 | ||
| 66794 | urea cycle | 92.31 | 12 of 13 | ||
| 66794 | propionate fermentation | 90 | 9 of 10 | ||
| 66794 | myo-inositol biosynthesis | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | vitamin B12 metabolism | 88.24 | 30 of 34 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | alanine metabolism | 86.21 | 25 of 29 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | glycolate and glyoxylate degradation | 83.33 | 5 of 6 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | lipoate biosynthesis | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | lipid A biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | pyrimidine metabolism | 77.78 | 35 of 45 | ||
| 66794 | purine metabolism | 77.66 | 73 of 94 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | histidine metabolism | 75.86 | 22 of 29 | ||
| 66794 | toluene degradation | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | pentose phosphate pathway | 72.73 | 8 of 11 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | heme metabolism | 71.43 | 10 of 14 | ||
| 66794 | starch degradation | 70 | 7 of 10 | ||
| 66794 | leucine metabolism | 69.23 | 9 of 13 | ||
| 66794 | methionine metabolism | 69.23 | 18 of 26 | ||
| 66794 | degradation of sugar acids | 68 | 17 of 25 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 66.67 | 8 of 12 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | oxidative phosphorylation | 65.93 | 60 of 91 | ||
| 66794 | lysine metabolism | 64.29 | 27 of 42 | ||
| 66794 | glutathione metabolism | 64.29 | 9 of 14 | ||
| 66794 | arginine metabolism | 62.5 | 15 of 24 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | O-antigen biosynthesis | 60 | 3 of 5 | ||
| 66794 | coenzyme M biosynthesis | 60 | 6 of 10 | ||
| 66794 | lipid metabolism | 58.06 | 18 of 31 | ||
| 66794 | non-pathway related | 57.89 | 22 of 38 | ||
| 66794 | tryptophan metabolism | 57.89 | 22 of 38 | ||
| 66794 | polyamine pathway | 56.52 | 13 of 23 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | allantoin degradation | 55.56 | 5 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 55.56 | 5 of 9 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 53.85 | 7 of 13 | ||
| 66794 | carnitine metabolism | 50 | 4 of 8 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | vitamin E metabolism | 50 | 2 of 4 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | phenol degradation | 50 | 10 of 20 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | 4-hydroxymandelate degradation | 44.44 | 4 of 9 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | benzoyl-CoA degradation | 42.86 | 3 of 7 | ||
| 66794 | ascorbate metabolism | 40.91 | 9 of 22 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | 3-phenylpropionate degradation | 40 | 6 of 15 | ||
| 66794 | degradation of pentoses | 39.29 | 11 of 28 | ||
| 66794 | degradation of hexoses | 38.89 | 7 of 18 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | androgen and estrogen metabolism | 37.5 | 6 of 16 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 35.29 | 6 of 17 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | methanogenesis from CO2 | 33.33 | 4 of 12 | ||
| 66794 | aclacinomycin biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | d-xylose degradation | 27.27 | 3 of 11 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Forest | |
| #Environmental | #Terrestrial | #Soil |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 4031 | soil of beech forest | Germany | DEU | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | SPSIL assembly for Sporomusa silvacetica DSM 10669 | complete | 1123289 | 95.93 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 4031 | S.silvacetica 16S rRNA gene | Y09976 | 1481 | 55504 |
| 4031 | GC-content (mol%)42.7 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 64.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 54.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 75.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 80.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 83.49 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 79.99 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 70.29 | no |
| 125438 | aerobic | aerobicⓘ | no | 88.22 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.78 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 75.62 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Dosage constraint of the ribosome-associated molecular chaperone drives the evolution and fates of its duplicates in bacteria. | Wan T, Zhuo L, Pan Z, Chen R-y, Ma H, Cao Y, Wang J, Wang J-j, Hu W-f, Lai Y-j, Hayat M, Li Y-z. | mBio | 10.1128/mbio.01994-24 | 2024 | ||
| Genetics | Tartrate fermentation with H2 production by a new member of Sporomusaceae enriched from rice paddy soil. | Pereira-Mora L, Guerrero LD, Erijman L, Fernandez-Scavino A. | Appl Environ Microbiol | 10.1128/aem.02351-23 | 2024 | |
| Energy conservation under extreme energy limitation: the role of cytochromes and quinones in acetogenic bacteria. | Rosenbaum FP, Muller V. | Extremophiles | 10.1007/s00792-021-01241-0 | 2021 | ||
| Metabolism | The Sporomusa type Nfn is a novel type of electron-bifurcating transhydrogenase that links the redox pools in acetogenic bacteria. | Kremp F, Roth J, Muller V. | Sci Rep | 10.1038/s41598-020-71038-2 | 2020 | |
| Metabolism | Electrosynthesis of organic compounds from carbon dioxide is catalyzed by a diversity of acetogenic microorganisms. | Nevin KP, Hensley SA, Franks AE, Summers ZM, Ou J, Woodard TL, Snoeyenbos-West OL, Lovley DR. | Appl Environ Microbiol | 10.1128/aem.02642-10 | 2011 | |
| Metabolism | Tolerance and metabolic response of acetogenic bacteria toward oxygen. | Karnholz A, Kusel K, Gossner A, Schramm A, Drake HL. | Appl Environ Microbiol | 10.1128/aem.68.2.1005-1009.2002 | 2002 | |
| Enzymology | Carbonic anhydrase in Acetobacterium woodii and other acetogenic bacteria. | Braus-Stromeyer SA, Schnappauf G, Braus GH, Gossner AS, Drake HL. | J Bacteriol | 10.1128/jb.179.22.7197-7200.1997 | 1997 | |
| Metabolism | Using gas mixtures of CO, CO2 and H2 as microbial substrates: the do's and don'ts of successful technology transfer from laboratory to production scale. | Takors R, Kopf M, Mampel J, Bluemke W, Blombach B, Eikmanns B, Bengelsdorf FR, Weuster-Botz D, Durre P. | Microb Biotechnol | 10.1111/1751-7915.13270 | 2018 | |
| Insights into the Genome of the Anaerobic Acetogen Sporomusa silvacetica DSM 10669. | Humphreys JR, Daniel R, Poehlein A | Genome Announc | 10.1128/genomeA.00983-17 | 2017 | ||
| Phylogeny | Sporomusa silvacetica sp, nov., an acetogenic bacterium isolated from aggregated forest soil. | Kuhner CH, Frank C, Griesshammer A, Schmittroth M, Acker G, Gossner A, Drake HL | Int J Syst Bacteriol | 10.1099/00207713-47-2-352 | 1997 |
| #4031 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 10669 |
| #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) . |
| #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 ) |
| #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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