Strain identifier
BacDive ID: 1580
Type strain: 
Species: Acetomicrobium flavidum
Strain Designation: P
Strain history: <- E. Soutschek, P
NCBI tax ID(s): 49896 (species)
version 9.3 (current version)
General
@ref: 8988
BacDive-ID: 1580
DSM-Number: 20664
keywords: genome sequence, 16S sequence, Bacteria, anaerobe, spore-forming, thermophilic
description: Acetomicrobium flavidum P is an anaerobe, spore-forming, thermophilic bacterium that was isolated from sewage sludge.
NCBI tax id
- NCBI tax id: 49896
- Matching level: species
strain history
- @ref: 8988
- history: <- E. Soutschek, P
doi: 10.13145/bacdive1580.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/synergistota
- domain: Bacteria
- phylum: Synergistota
- class: Synergistia
- order: Synergistales
- family: Synergistaceae
- genus: Acetomicrobium
- species: Acetomicrobium flavidum
- full scientific name: Acetomicrobium flavidum Soutschek et al. 1985
@ref: 8988
domain: Bacteria
phylum: Synergistetes
class: Synergistia
order: Bacteroidales
family: Synergistaceae
genus: Acetomicrobium
species: Acetomicrobium flavidum
full scientific name: Acetomicrobium flavidum Soutschek et al. 1985
strain designation: P
type strain: yes
Culture and growth conditions
culture medium
- @ref: 8988
- name: PYG MEDIUM (MODIFIED) (DSMZ Medium 104)
- growth: yes
- link: https://mediadive.dsmz.de/medium/104
- composition: Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water
culture temp
- @ref: 8988
- growth: positive
- type: growth
- temperature: 55
Physiology and metabolism
oxygen tolerance
| @ref | oxygen tolerance | confidence |
|---|---|---|
| 8988 | anaerobe | |
| 125438 | anaerobe | 91.459 |
| 125439 | anaerobe | 99 |
Isolation, sampling and environmental information
isolation
- @ref: 8988
- sample type: sewage sludge
isolation source categories
- Cat1: #Engineered
- Cat2: #Waste
- Cat3: #Sewage sludge
taxonmaps
- @ref: 69479
- File name: preview.99_1104.png
- url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_15969;96_645;97_748;98_867;99_1104&stattab=map
- Last taxonomy: Acetomicrobium
- 16S sequence: FR733692
- Sequence Identity:
- Total samples: 2134
- soil counts: 172
- aquatic counts: 1383
- animal counts: 498
- plant counts: 81
Safety information
risk assessment
- @ref: 8988
- biosafety level: 1
- biosafety level comment: Risk group (German classification)
Sequence information
16S sequences
- @ref: 20218
- description: Acetomicrobium flavidum partial 16S rRNA gene, type strain DSM20664T
- accession: FR733692
- length: 1516
- database: nuccore
- NCBI tax ID: 49896
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Acetomicrobium flavidum strain DSM 20664 | 49896.3 | wgs | patric | 49896 |
| 66792 | Acetomicrobium flavidum DSM 20664 | 2695420966 | draft | img | 49896 |
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 83.294 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | yes | 91.459 | yes |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 80.406 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 97.53 | yes |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | yes | 75.966 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 63.197 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | yes | 70.4 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 59.1 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | variable | 67.3 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | anaerobe | 99 |
External links
@ref: 8988
culture collection no.: DSM 20664, ATCC 43122
straininfo link
- @ref: 71225
- straininfo: 72
Reference
| @id | authors | catalogue | doi/url | title | journal | pubmed |
|---|---|---|---|---|---|---|
| 8988 | Curators of the DSMZ | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 20664) | https://www.dsmz.de/collection/catalogue/details/culture/DSM-20664 | |||
| 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 | |||
| 20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P. | 10.1016/j.syapm.2013.11.002 | StrainInfo introduces electronic passports for microorganisms. | Syst Appl Microbiol. 37: 42-50 2014 | 24321274 | |
| 66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann | https://diaspora-project.de/progress.html#genomes | Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) | |||
| 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. | https://microbeatlas.org/ | MicrobeAtlas 1.0 beta | |||
| 71225 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | 10.60712/SI-ID72.1 | 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 | |||
| 125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy | https://github.com/GenomeNet/deepG | deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 |