Acinetobacter radioresistens JCM 9327 is a mesophilic prokaryote that was isolated from Soil.
mesophilic 16S sequence| @ref 20215 |
|
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Moraxellaceae |
| Genus Acinetobacter |
| Species Acinetobacter radioresistens |
| Full scientific name Acinetobacter radioresistens Nishimura et al. 1988 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 30 | mesophilic |
| 67770 | Observationquinones: Q-9 |
| 67770 | Sample typeSoil |
Global distribution of 16S sequence LC506133 (>99% sequence identity) for Acinetobacter from Microbeatlas ![]()
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Acinetobacter radioresistens JCM 9327 gene for 16S ribosomal RNA, partial sequence | LC506133 | 1459 | 40216 |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Analysis of the polyphosphate-accumulating microflora in phosphorus-eliminating, anaerobic-aerobic activated sludge systems by using diaminopropane as a biomarker for rapid estimation of Acinetobacter spp. | Auling G, Pilz F, Busse HJ, Karrasch S, Streichan M, Schon G. | Appl Environ Microbiol | 10.1128/aem.57.12.3585-3592.1991 | 1991 |
| #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 . |
| #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