Acetobacter pasteurianus JCM 20384 is a mesophilic prokaryote that was isolated from Sour beer.
mesophilic genome sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Acetobacter |
| Species Acetobacter pasteurianus |
| Full scientific name Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916 (Approved Lists 1980) |
| Synonyms (9) |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 25 | mesophilic |
| 67770 | Sample typeSour beer |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | |
|---|---|---|---|---|---|---|---|
| 67770 | ASM158108v1 assembly for Acetobacter malorum LMG 1604 | contig | 178901 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 93.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 63.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 91.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 92.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.33 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 83.50 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.21 | no |
| 125438 | aerobic | aerobicⓘ | yes | 76.31 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.32 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 62.27 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Microbial asymmetric oxidation of 2-butyl-1,3-propanediol. | Mitsukura K, Uno T, Yoshida T, Nagasawa T | Appl Microbiol Biotechnol | 10.1007/s00253-007-0974-0 | 2007 |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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https://doi.org/10.13145/bacdive162906.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data