Acetobacterium tundrae Z-4493 is an anaerobe bacterium that was isolated from tundra wetland soil.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Eubacteriaceae |
| Genus Acetobacterium |
| Species Acetobacterium tundrae |
| Full scientific name Acetobacterium tundrae Simankova et al. 2001 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 3504 | ACETOBACTERIUM TUNDRAE MEDIUM (DSMZ Medium 900) | Medium recipe at MediaDive | Name: ACETOBACTERIUM TUNDRAE MEDIUM (DSMZ Medium 900) Composition: D-Fructose 4.99002 g/l Na2CO3 1.49701 g/l Yeast extract 0.998004 g/l MgCl2 x 6 H2O 0.518962 g/l KCl 0.329341 g/l NH4Cl 0.329341 g/l KH2PO4 0.329341 g/l CaCl2 x 2 H2O 0.299401 g/l Na2S x 9 H2O 0.299401 g/l L-Cysteine HCl x H2O 0.299401 g/l HCl 0.00249501 g/l FeCl2 x 4 H2O 0.00149701 g/l Sodium resazurin 0.000499002 g/l Pyridoxine hydrochloride 0.000299401 g/l Nicotinic acid 0.000199601 g/l Thiamine-HCl x 2 H2O 0.000199601 g/l CoCl2 x 6 H2O 0.000189621 g/l Calcium pantothenate 9.98004e-05 g/l MnCl2 x 4 H2O 9.98004e-05 g/l Vitamin B12 9.98004e-05 g/l p-Aminobenzoic acid 7.98403e-05 g/l ZnCl2 6.98603e-05 g/l Na2MoO4 x 2 H2O 3.59281e-05 g/l NiCl2 x 6 H2O 2.39521e-05 g/l D-(+)-biotin 1.99601e-05 g/l H3BO3 5.98802e-06 g/l CuCl2 x 2 H2O 1.99601e-06 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 3504 | positive | growth | 20 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Soil | |
| #Environmental | #Terrestrial | #Tundra | |
| #Environmental | #Terrestrial | #Wetland (Swamp) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 3504 | tundra wetland soil | Polar Ural | Russia | RUS | Europe |
Global distribution of 16S sequence AJ297449 (>99% sequence identity) for Acetobacterium paludosum from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM808661v1 assembly for Acetobacterium tundrae DSM 9173 | contig | 132932 | 64.46 | ||||
| 124043 | ASM1428439v1 assembly for Acetobacterium tundrae DSM 9173 | contig | 132932 | 63.58 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 3504 | Acetobacterium aff. tundrae DSM 9173 partial 16S rRNA gene | AJ297449 | 1478 | 132932 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 3504 | 39.2 | thermal denaturation, midpoint method (Tm) |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Insights into the genome structure of four acetogenic bacteria with specific reference to the Wood-Ljungdahl pathway. | Esposito A, Tamburini S, Triboli L, Ambrosino L, Chiusano ML, Jousson O. | Microbiologyopen | 10.1002/mbo3.938 | 2019 | |
| 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 | |
| Phylogeny | Acetobacterium tundrae sp nov, a new psychrophilic acetogenic bacterium from tundra soil. | Simankova MV, Kotsyurbenko OR, Stackebrandt E, Kostrikina NA, Lysenko AM, Osipov GA, Nozhevnikova AN | Arch Microbiol | 10.1007/s002030000229 | 2000 |
| #3504 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9173 |
| #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 ) |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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