Clostridium puniceum BL 70/20 is an anaerobe, mesophilic prokaryote that was isolated from rotting potatoes.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Clostridium |
| Species Clostridium puniceum |
| Full scientific name Clostridium puniceum Lund et al. 1981 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1169 | CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 1169 | positive | growth | 30 | mesophilic |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | CMP-KDO biosynthesis | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | d-mannose degradation | 88.89 | 8 of 9 | ||
| 66794 | pyrimidine metabolism | 88.89 | 40 of 45 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | alanine metabolism | 86.21 | 25 of 29 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | selenocysteine biosynthesis | 83.33 | 5 of 6 | ||
| 66794 | glycolysis | 82.35 | 14 of 17 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | purine metabolism | 76.6 | 72 of 94 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | glutamate and glutamine metabolism | 75 | 21 of 28 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | vitamin B12 metabolism | 73.53 | 25 of 34 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | heme metabolism | 71.43 | 10 of 14 | ||
| 66794 | myo-inositol biosynthesis | 70 | 7 of 10 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 69.23 | 9 of 13 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | degradation of hexoses | 66.67 | 12 of 18 | ||
| 66794 | valine metabolism | 66.67 | 6 of 9 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 66.67 | 6 of 9 | ||
| 66794 | non-pathway related | 65.79 | 25 of 38 | ||
| 66794 | histidine metabolism | 65.52 | 19 of 29 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | oxidative phosphorylation | 64.84 | 59 of 91 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | metabolism of disaccharids | 63.64 | 7 of 11 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | pentose phosphate pathway | 63.64 | 7 of 11 | ||
| 66794 | ketogluconate 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 | lipid metabolism | 61.29 | 19 of 31 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | lysine metabolism | 59.52 | 25 of 42 | ||
| 66794 | arginine metabolism | 58.33 | 14 of 24 | ||
| 66794 | tryptophan metabolism | 57.89 | 22 of 38 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | degradation of pentoses | 57.14 | 16 of 28 | ||
| 66794 | polyamine pathway | 56.52 | 13 of 23 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | sulfate reduction | 53.85 | 7 of 13 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | propionate fermentation | 50 | 5 of 10 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | glutathione metabolism | 50 | 7 of 14 | ||
| 66794 | degradation of sugar acids | 48 | 12 of 25 | ||
| 66794 | isoprenoid biosynthesis | 46.15 | 12 of 26 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | citric acid cycle | 42.86 | 6 of 14 | ||
| 66794 | aclacinomycin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | ascorbate metabolism | 36.36 | 8 of 22 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | allantoin degradation | 33.33 | 3 of 9 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 30 | 3 of 10 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 | ||
| 66794 | carotenoid biosynthesis | 22.73 | 5 of 22 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Decomposing plant | |
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Root (Rhizome) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 1169 | rotting potatoes | Norwich | United Kingdom | GBR | Europe |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 79.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 81.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 81.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 97.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 59.45 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.66 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 72.88 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.20 | yes |
| 125438 | aerobic | aerobicⓘ | no | 93.76 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 77.75 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Clostridium btbubcensis BJN0001, a potentially new species isolated from the cellar mud of Chinese strong-flavor baijiu, produces ethanol, acetic acid and butyric acid from glucose. | Xu Y, Wu M, Niu J, Huang H, Nie Z, Fu Z, Zhang C, Zhao Z, Lu H, Li X, Sun B. | 3 Biotech | 10.1007/s13205-022-03271-7 | 2022 | ||
| Draft Genome Sequences of Two Clostridium Isolates from the Poultry Gastrointestinal Tract. | Keshri J, Ramirez R, Chalghoumi R, Garrish JK, Seal BS, Oakley BB. | Microbiol Resour Announc | 10.1128/mra.00137-20 | 2020 | ||
| Phylogeny | Bacterial-biota dynamics of eight bryophyte species from different ecosystems. | Koua FH, Kimbara K, Tani A. | Saudi J Biol Sci | 10.1016/j.sjbs.2014.07.009 | 2015 | |
| Phylogeny | Microbial solvent formation revisited by comparative genome analysis. | Poehlein A, Solano JDM, Flitsch SK, Krabben P, Winzer K, Reid SJ, Jones DT, Green E, Minton NP, Daniel R, Durre P. | Biotechnol Biofuels | 10.1186/s13068-017-0742-z | 2017 | |
| Enzymology | Degradation of cyanophycin by Sedimentibacter hongkongensis strain KI and Citrobacter amalonaticus strain G Isolated from an anaerobic bacterial consortium. | Obst M, Krug A, Luftmann H, Steinbuchel A. | Appl Environ Microbiol | 10.1128/aem.71.7.3642-3652.2005 | 2005 |
| #1169 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2619 |
| #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 ) |
| #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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