Acetobacter orleanensis DSM 4492 is an aerobe, mesophilic prokaryote that was isolated from beer.
aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Acetobacter |
| Species Acetobacter orleanensis |
| Full scientific name Acetobacter orleanensis (Henneberg 1906) Lisdiyanti et al. 2001 |
| Synonyms (2) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1704 | YPM MEDIUM (DSMZ Medium 360) | Medium recipe at MediaDive | Name: YPM MEDIUM (DSMZ Medium 360) Composition: Mannitol 25.0 g/l Agar 12.0 g/l Yeast extract 5.0 g/l Peptone 3.0 g/l Distilled water | ||
| 1704 | GLUCONOBACTER OXYDANS MEDIUM (DSMZ Medium 105) | Medium recipe at MediaDive | Name: GLUCONOBACTER OXYDANS MEDIUM (DSMZ Medium 105) Composition: Glucose 100.0 g/l CaCO3 20.0 g/l Agar 15.0 g/l Yeast extract 10.0 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Beverage | |
| #Engineered | #Food production | #Fermented | |
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Fruit (Seed) |
Global distribution of 16S sequence AB680506 (>99% sequence identity) for Acetobacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM235805v1 assembly for Acetobacter orleanensis CCM 3610 | scaffold | 104099 | 67.02 | ||||
| 67770 | ASM158100v1 assembly for Acetobacter orleanensis LMG 1583 | contig | 104099 | 63.97 | ||||
| 67770 | ASM653932v1 assembly for Acetobacter orleanensis NBRC 13752 | contig | 104099 | 61.72 | ||||
| 67770 | ASM96420v1 assembly for Acetobacter orleanensis JCM 7639 JCM 7639T | scaffold | 1231342 | 21.85 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Acetobacter orleanensis strain DSM 4492 16S ribosomal RNA gene, partial sequence | JF793963 | 1354 | 104099 | ||
| 20218 | Acetobacter orleanensis gene for 16S rRNA, partial sequence | AB032350 | 1443 | 104099 | ||
| 20218 | Acetobacter orleanensis gene for 16S rRNA, partial sequence, strain: JCM 7639 | AB665076 | 1412 | 104099 | ||
| 20218 | Acetobacter orleanensis 16S rRNA gene, strain LMG 1583 | AJ419845 | 1442 | 104099 | ||
| 20218 | Acetobacter orleanensis strain LMG 1583 16S ribosomal RNA gene, partial sequence | JF793962 | 1353 | 104099 | ||
| 20218 | Acetobacter orleanensis gene for 16S rRNA, partial sequence, strain: NBRC 13752 | AB680506 | 1415 | 104099 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 87.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 82.80 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.61 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 89.88 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.56 | no |
| 125438 | aerobic | aerobicⓘ | yes | 79.32 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.95 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 71.54 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Serologic reactivity to the emerging pathogen Granulibacter bethesdensis. | Greenberg DE, Shoffner AR, Marshall-Batty KR, Arora K, Zhao M, Martin R, Ding L, Hammer CH, Shaw PA, Kuhns DB, Malech HL, Gallin JI, Zarember KA, Holland SM. | J Infect Dis | 10.1093/infdis/jis431 | 2012 | ||
| Genetics | Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains. | Pelicaen R, Weckx S, Gonze D, De Vuyst L. | Front Microbiol | 10.3389/fmicb.2022.1060160 | 2022 | |
| Phylogenetic characterization of Bifidobacterium kimbladii sp. nov., a novel species from the honey stomach of the honeybee Apis mellifera. | Modesto M, Scarafile D, Vasquez A, Pukall R, Neumann-Schaal M, Pascarelli S, Sgorbati B, Ancora M, Camma C, Mattarelli P, Olofsson TC. | Syst Appl Microbiol | 10.1016/j.syapm.2025.126579 | 2025 |
| #1704 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 4492 |
| #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 ) |
| #46760 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 18126 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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BacDive in 2025: the core database for prokaryotic strain data