Strain identifier
BacDive ID: 7537
Type strain: 
Species: Acetobacterium tundrae
Strain history: <- NRRL <- Upjohn Comp., UC 3564 (Arthrobacter sp., N-18)
NCBI tax ID(s): 1667 (species)
version 9.3 (current version)
General
@ref: 394
BacDive-ID: 7537
DSM-Number: 917
keywords: Bacteria, mesophilic
description: Acetobacterium tundrae DSM 917 is a mesophilic bacterium that was isolated from soil.
NCBI tax id
- NCBI tax id: 1667
- Matching level: species
strain history
- @ref: 394
- history: <- NRRL <- Upjohn Comp., UC 3564 (Arthrobacter sp., N-18)
doi: 10.13145/bacdive7537.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacillota
- 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: 394
domain: Bacteria
phylum: Actinobacteria
class: Actinobacteria
order: Actinomycetales
family: Micrococcaceae
genus: Arthrobacter
species: Arthrobacter sp.
full scientific name: Arthrobacter sp.
type strain: no
Culture and growth conditions
culture medium
- @ref: 394
- name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)
- growth: yes
- link: https://mediadive.dsmz.de/medium/92
- composition: Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
culture temp
- @ref: 394
- growth: positive
- type: growth
- temperature: 30
Physiology and metabolism
compound production
- @ref: 394
- compound: novenamine
murein
- @ref: 394
- murein short key: A31
- type: A1gamma m-Dpm-direct
Isolation, sampling and environmental information
isolation
- @ref: 394
- sample type: soil
isolation source categories
- Cat1: #Environmental
- Cat2: #Terrestrial
- Cat3: #Soil
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 62.264 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | yes | 88.78 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 51.831 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 92.478 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 87.643 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 65.577 | no |
External links
@ref: 394
culture collection no.: DSM 917, NRRL B-3652, UC 3564
straininfo link
- @ref: 76982
- straininfo: 47285
literature
- topic: Genetics
- Pubmed-ID: 31573151
- title: Insights into the genome structure of four acetogenic bacteria with specific reference to the Wood-Ljungdahl pathway.
- authors: Esposito A, Tamburini S, Triboli L, Ambrosino L, Chiusano ML, Jousson O
- journal: Microbiologyopen
- DOI: 10.1002/mbo3.938
- year: 2019
- mesh: Acetates/*metabolism, Acetobacterium/*genetics/*metabolism, Carbon Dioxide/*metabolism, Cluster Analysis, *Genome, Bacterial, Genome-Wide Association Study, *Genomics/methods, *Metabolic Networks and Pathways, Multigene Family, Protein Interaction Mapping
- topic2: Metabolism
Reference
| @id | authors | catalogue | doi/url | title |
|---|---|---|---|---|
| 394 | Curators of the DSMZ | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 917) | https://www.dsmz.de/collection/catalogue/details/culture/DSM-917 | |
| 20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M. | 10.1099/ijsem.0.004332 | List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ | |
| 76982 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | 10.60712/SI-ID47285.1 | StrainInfo: A central database for resolving microbial strain identifiers | |
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | 10.1101/2024.08.12.607695 | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets |