Acinetobacter lwoffii GC2 is an obligate aerobe, mesophilic, Gram-negative prokaryote that forms circular colonies and was isolated from Oil-contaminated soil in Bozku? 1 petroleum station in Diyarbakir in the southeast of Turkey.
Gram-negative coccus-shaped colony-forming obligate aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Moraxellaceae |
| Genus Acinetobacter |
| Species Acinetobacter lwoffii |
| Full scientific name Acinetobacter lwoffii (Audureau 1940) Brisou and Prévot 1954 (Approved Lists 1980) |
| Synonyms (2) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 68383 | CASO AGAR (MERCK 105458) (DSMZ Medium 220) | Medium recipe at MediaDive | Name: CASO AGAR (MERCK 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water | ||
| 68383 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 68311 | NaCl | positive | growth | 0-3 %(w/v) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | + | assimilation | from API 20NE |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 68311 | 16947 ChEBI | citrate | - | assimilation | |
| 68311 | 15824 ChEBI | D-fructose | - | assimilation | |
| 68311 | 17634 ChEBI | D-glucose | + | carbon source | |
| 68311 | 17634 ChEBI | D-glucose | + | energy source | |
| 68369 | 17634 ChEBI | D-glucose | - | assimilation | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68369 | 16899 ChEBI | D-mannitol | - | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | - | assimilation | from API 20NE |
| 68311 | 65327 ChEBI | D-xylose | + | carbon source | |
| 68311 | 65327 ChEBI | D-xylose | + | energy source | |
| 68369 | 27689 ChEBI | decanoate | + | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | - | hydrolysis | from API 20NE |
| 68311 | 28260 ChEBI | galactose | - | assimilation | |
| 68311 | 5291 ChEBI | gelatin | - | hydrolysis | |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 68311 | 30849 ChEBI | L-arabinose | + | carbon source | |
| 68311 | 30849 ChEBI | L-arabinose | + | energy source | |
| 68369 | 30849 ChEBI | L-arabinose | - | assimilation | from API 20NE |
| 68311 | 17716 ChEBI | lactose | + | carbon source | |
| 68311 | 17716 ChEBI | lactose | + | energy source | |
| 68311 | 17306 ChEBI | maltose | - | assimilation | |
| 68369 | 17306 ChEBI | maltose | - | assimilation | from API 20NE |
| 68369 | 59640 ChEBI | N-acetylglucosamine | - | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 68311 | 28017 ChEBI | starch | + | assimilation | |
| 68311 | 17992 ChEBI | sucrose | - | assimilation | |
| 68311 | 27082 ChEBI | trehalose | - | assimilation | |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68311 | 18186 ChEBI | tyrosine | - | assimilation | |
| 68311 | 16199 ChEBI | urea | + | assimilation | |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
| Metadata FA analysis | |||||||||||||||||
| type of FA analysis | whole cell analysis | ||||||||||||||||
| incubation medium | NB | ||||||||||||||||
| incubation temperature | 30 | ||||||||||||||||
| incubation time | 1 | ||||||||||||||||
| system | MIS MIDI | ||||||||||||||||
| instrument | Hewlett Packard 5890A gas chromatograph | ||||||||||||||||
| @ref | 68311 | ||||||||||||||||
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| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Enrichment culture | Enrichment culture composition | Enrichment culture temperature | |
|---|---|---|---|---|---|---|---|---|---|
| 67770 | Oil-contaminated soil in Bozku? 1 petroleum station in Diyarbakir in the southeast of Turkey | ||||||||
| 68311 | Bozkus 1 petroleum station | Diyarbakir | Turkey | TUR | Asia | BSM | supplemented with 1% crude oil | 30 | |
| 68383 | petroleum-contaminated soil | Diyarbakir, Bozku? 1 petroleum station | Turkey | TUR | Asia |
Global distribution of 16S sequence KJ867435 (>99% sequence identity) for Acinetobacter from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 68383 | 2 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 68311 | ASM1105820v1 assembly for Acinetobacter lwoffii GC2 | scaffold | 28090 | 19.87 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 68311 | Acinetobacter lwoffii strain GC2 16S ribosomal RNA gene, partial sequence | KJ867435 | 1515 | 28090 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 68311 | 42.9 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 88.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 51.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 68.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.00 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 97.30 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 94.65 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 90.81 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.48 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 80.17 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Counteracting Grey Mould (Botrytis cinerea) in Grapevine 'Glera' Using Three Putative Biological Control Agent Strains (Paraburkholderia sp., Pseudomonas sp., and Acinetobacter sp.): Impact on Symptoms, Yield, and Gene Expression. | Mian G, Belfiore N, Marcuzzo P, Spinelli F, Tomasi D, Colautti A. | Microorganisms | 10.3390/microorganisms12081515 | 2024 | ||
| Genetics | Genetic Basis of Acinetobacter sp. K1 Adaptation Mechanisms to Extreme Environmental Conditions. | Petrova N, Kiskova J, Kolesarova M, Pristas P. | Life (Basel) | 10.3390/life13081728 | 2023 | |
| Phylogeny | Acinetobacter mesopotamicus sp. nov., Petroleum-degrading Bacterium, Isolated from Petroleum-Contaminated Soil in Diyarbakir, in the Southeast of Turkey. | Acer O, Guven K, Poli A, Di Donato P, Leone L, Buono L, Guven RG, Nicolaus B, Finore I | Curr Microbiol | 10.1007/s00284-020-02134-9 | 2020 |
| #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; |
| #68311 | Ömer Acer, Kemal Güven, Annarita Poli, Paola Di Donato, Luigi Leone, Lorena Buono, Reyhan Gül Güven, Barbara Nicolaus & Ilaria Finore: Acinetobacter mesopotamicus sp. nov., Petroleum-degrading Bacterium, Isolated from Petroleum-Contaminated Soil in Diyarbakir, in the Southeast of Turkey. Curr Microbiol 77: 3192 - 3200 2020 ( DOI 10.1007/s00284-020-02134-9 ) |
| #68369 | Automatically annotated from API 20NE . |
| #68383 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26953 |
| #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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