Acetobacter okinawensis JCM 25146 is a bacterium that was isolated from Sugarcane in Okinawa,.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Acetobacter |
| Species Acetobacter okinawensis |
| Full scientific name Acetobacter okinawensis Iino et al. 2013 |
| BacDive ID | Other strains from Acetobacter okinawensis (6) | Type strain |
|---|---|---|
| 161632 | A. okinawensis JCM 15829 | |
| 163334 | A. okinawensis JCM 25147, NRIC 0659 | |
| 163344 | A. okinawensis JCM 25387 | |
| 163346 | A. okinawensis JCM 25390 | |
| 163348 | A. okinawensis JCM 25401 | |
| 163349 | A. okinawensis JCM 25402 |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 67770 | positive | growth | 30 |
| @ref | Sample type | Host species | Sampling date | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 67770 | Sugarcane (stem) (Saccharum offcinarum) in Okinawa,(2004) | Saccharum offcinarum | 2004 | Japan | JPN | Asia |
Global distribution of 16S sequence AB665068 (>99% sequence identity) for Acetobacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM61386v1 assembly for Acetobacter okinawensis JCM 25146 | contig | 1236501 | 33.84 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 59.2 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 67.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 79.60 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.83 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 89.82 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.92 | no |
| 125438 | aerobic | aerobicⓘ | yes | 76.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.26 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 64.02 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | A genomic investigation of ecological differentiation between free-living and Drosophila-associated bacteria. | Winans NJ, Walter A, Chouaia B, Chaston JM, Douglas AE, Newell PD. | Mol Ecol | 10.1111/mec.14232 | 2017 |
| #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; |
| #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 . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive163333.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data