Acinetobacter variabilis strain Tjernberg & Ursing 151a is a mesophilic, Gram-negative, oval-shaped prokaryote that was isolated from human urine.
Gram-negative oval-shaped 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 variabilis |
| Full scientific name Acinetobacter variabilis Krizova et al. 2015 |
| Synonyms (2) |
| BacDive ID | Other strains from Acinetobacter variabilis (5) | Type strain |
|---|---|---|
| 136891 | A. variabilis CIP 110487, NIPH 899 | |
| 145364 | A. variabilis CCUG 28276 | |
| 155953 | A. variabilis CCUG 59763 | |
| 155982 | A. variabilis CCUG 59880 | |
| 156607 | A. variabilis CCUG 63497 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 38466 | MEDIUM 72- for trypto casein soja agar | Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g) | |||
| 23987 | 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 | ||
| 123796 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | - | assimilation | from API 20NE |
| 68374 | 29016 ChEBI | arginine | - | hydrolysis | from API ID32E |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 68374 | 17057 ChEBI | cellobiose | - | builds acid from | from API ID32E |
| 68374 | 18333 ChEBI | D-arabitol | - | builds acid from | from API ID32E |
| 68374 | 18024 ChEBI | D-galacturonic acid | - | builds acid from | from API ID32E |
| 68374 | 17634 ChEBI | D-glucose | - | builds acid from | from API ID32E |
| 68369 | 17634 ChEBI | D-glucose | - | assimilation | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68374 | 16899 ChEBI | D-mannitol | - | builds acid from | from API ID32E |
| 68369 | 16899 ChEBI | D-mannitol | - | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | - | assimilation | from API 20NE |
| 68369 | 27689 ChEBI | decanoate | + | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | - | hydrolysis | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 68374 | 30849 ChEBI | L-arabinose | - | builds acid from | from API ID32E |
| 68369 | 30849 ChEBI | L-arabinose | - | assimilation | from API 20NE |
| 68374 | 18403 ChEBI | L-arabitol | - | builds acid from | from API ID32E |
| 68374 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API ID32E |
| 68374 | 25094 ChEBI | lysine | - | degradation | from API ID32E |
| 68369 | 25115 ChEBI | malate | + | assimilation | from API 20NE |
| 68374 | 15792 ChEBI | malonate | - | assimilation | from API ID32E |
| 68374 | 17306 ChEBI | maltose | - | builds acid from | from API ID32E |
| 68369 | 17306 ChEBI | maltose | - | assimilation | from API 20NE |
| 68374 | 17268 ChEBI | myo-inositol | - | builds acid from | from API ID32E |
| 68369 | 59640 ChEBI | N-acetylglucosamine | - | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 68374 | 18257 ChEBI | ornithine | - | degradation | from API ID32E |
| 68374 | 18394 ChEBI | palatinose | - | builds acid from | from API ID32E |
| 68374 | Potassium 5-ketogluconate | - | builds acid from | from API ID32E | |
| 68374 | 15963 ChEBI | ribitol | - | builds acid from | from API ID32E |
| 68374 | 30911 ChEBI | sorbitol | - | builds acid from | from API ID32E |
| 68374 | 17992 ChEBI | sucrose | - | builds acid from | from API ID32E |
| 68374 | 27082 ChEBI | trehalose | - | builds acid from | from API ID32E |
| 68374 | 27897 ChEBI | tryptophan | - | energy source | from API ID32E |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68374 | 16199 ChEBI | urea | - | hydrolysis | from API ID32E |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68374 | alpha-galactosidase | - | 3.2.1.22 | from API ID32E |
| 68374 | alpha-glucosidase | - | 3.2.1.20 | from API ID32E |
| 68374 | alpha-maltosidase | - | from API ID32E | |
| 68374 | arginine dihydrolase | - | 3.5.3.6 | from API ID32E |
| 68369 | arginine dihydrolase | - | 3.5.3.6 | from API 20NE |
| 68374 | beta-galactosidase | - | 3.2.1.23 | from API ID32E |
| 68374 | beta-glucosidase | - | 3.2.1.21 | from API ID32E |
| 68369 | beta-glucosidase | - | 3.2.1.21 | from API 20NE |
| 68374 | beta-glucuronidase | - | 3.2.1.31 | from API ID32E |
| 68369 | cytochrome oxidase | - | 1.9.3.1 | from API 20NE |
| 68369 | gelatinase | - | from API 20NE | |
| 68374 | L-aspartate arylamidase | + | 3.4.11.21 | from API ID32E |
| 68374 | lipase | + | from API ID32E | |
| 68374 | lysine decarboxylase | - | 4.1.1.18 | from API ID32E |
| 68374 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API ID32E |
| 68374 | ornithine decarboxylase | - | 4.1.1.17 | from API ID32E |
| 68374 | urease | - | 3.5.1.5 | from API ID32E |
| 68369 | urease | - | 3.5.1.5 | from API 20NE |
| @ref | ODC | ADH (Arg) | LDC (Lys) | URE | LARL | GAT | 5KG | LipaseLIP | Phenol red (Acidification)RP | beta GLU | MAN | MAL | ADO | PLE | beta GUR | MNT | IND | N-Acetyl-beta-Glucosaminidasebeta NAG | beta GAL | GLU | SAC | LARA | DARL | alpha GLU | alpha GAL | TRE | RHA | INO | CEL | SOR | alpha-MaltosidasealphaMAL | L-aspartic acid arylamidaseAspA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 48431 | - | - | - | - | - | - | - | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + |
Global distribution of 16S sequence KP278590 (>99% sequence identity) for Acinetobacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Acinetobacter variabilis strain FDAARGOS_1487 | complete | 70346 | 99 | ||||
| 66792 | Acinetobacter variabilis strain FDAARGOS_1487 | complete | 70346 | 99 | ||||
| 66792 | Acinetobacter variabilis strain FDAARGOS_1487 | complete | 70346 | 99 | ||||
| 124043 | ASM2009937v1 assembly for Acinetobacter variabilis FDAARGOS_1487 | complete | 70346 | 98.7 | ||||
| 66792 | Acin_sp_NIPH_2171_V1 assembly for Acinetobacter variabilis NIPH 2171 | scaffold | 70346 | 74.99 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 23987 | Acinetobacter variabilis strain NIPH 2171 16S ribosomal RNA gene, complete sequence | KP278590 | 1527 | 70346 | ||
| 124043 | Acinetobacter sp. NIPH 2171 16S ribosomal RNA gene, partial sequence. | KC763178 | 1500 | 70346 | ||
| 124043 | Acinetobacter variabilis strain NIPH 2171 16S ribosomal RNA gene, partial sequence. | MT913023 | 1203 | 70346 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 92.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 50.10 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 91.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.91 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.49 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.97 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.48 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 78.72 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Whole genome analysis of 26 bacterial strains reveals aromatic and hydrocarbon degrading enzymes from diverse environmental soil samples. | Hossain MS, Iken B, Iyer R. | Sci Rep | 10.1038/s41598-024-78564-3 | 2024 | |
| Threat and Control of tet(X)-Mediated Tigecycline-Resistant Acinetobacter sp. Bacteria. | Chen C, Wu T, Liu J, Gao J. | Foods | 10.3390/foods14193374 | 2025 | ||
| Detection of florfenicol resistance in opportunistic Acinetobacter spp. infections in rural Thailand. | Tan BSY, Mohan L, Watthanaworawit W, Ngamprasertchai T, Nosten FH, Ling C, Bifani P. | Front Microbiol | 10.3389/fmicb.2024.1368813 | 2024 | ||
| Establishment of Specific Multiplex PCR Detection Methods for the Predominant tet(X)-Positive Acinetobacter Species. | Chen C, Liu J, Gao J, Wu T, Huang J. | Microorganisms | 10.3390/microorganisms13112584 | 2025 | ||
| Emergence of a multidrug-resistant plasmid encoding bla NDM-1, bla OXA-420 and armA in a clinical isolate of Acinetobacter variabilis in Japan. | Uechi K, Tohya M, Tada T, Tome T, Takahashi A, Kinjo T, Maeda S, Kirikae T, Fujita J. | J Med Microbiol | 10.1099/jmm.0.001395 | 2021 | ||
| Detection of non-ribosomal and polyketide biosynthetic genes in bacteria from green mud crab Scylla serrata gut microbiome and their antagonistic activities. | Banu S, Alva S, Prabhu PJ, Krishnan S, Mani MK. | Fish Shellfish Immunol Rep | 10.1016/j.fsirep.2023.100104 | 2023 | ||
| RESIST ACINETO test for the rapid detection of NDM and OXA acquired carbapenemases directly from blood culture in Acinetobacter species. | Potron A, Daniel M, Bay M, Choulet P, Garrigos T, Sababadichetty L, Belmonte O, Fournier D, Jeannot K, Miltgen G. | Microbiol Spectr | 10.1128/spectrum.01044-24 | 2024 | ||
| Antimicrobial resistance transmission in the environmental settings through traditional and UV-enabled advanced wastewater treatment plants: a metagenomic insight. | Talat A, Bashir Y, Khalil N, Brown CL, Gupta D, Khan AU. | Environ Microbiome | 10.1186/s40793-024-00658-2 | 2025 | ||
| Identification of Novel tet(X3) Variants Resistant To Tigecycline in Acinetobacter Species. | Cheng Y, Li Y, Yu R, Ma M, Yang M, Si H. | Microbiol Spectr | 10.1128/spectrum.01333-22 | 2022 | ||
| 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 | ||
| Pan-genus analysis and typing of antimicrobial resistance plasmids in Acinetobacter. | Tobin LA, Lam MMC, Hamidian M. | NPJ Antimicrob Resist | 10.1038/s44259-025-00133-z | 2025 | ||
| The Extract of Periplaneta americana (L.) Promotes Hair Regrowth in Mice with Alopecia by Regulating the FOXO/PI3K/AKT Signaling Pathway and Skin Microbiota. | Guan T, Yang X, Hong C, Zhang Z, Xiao P, Yang Y, Zhang C, He Z. | Curr Issues Mol Biol | 10.3390/cimb47080619 | 2025 | ||
| Studies on the Transmission of a Tigecycline Resistance-Mediating tet(A) Gene Variant from Enterobacter hormaechei via a Two-Step Recombination Process. | Yu R, Chen Z, Li D, Schwarz S, Wang X, Du XD. | Microbiol Spectr | 10.1128/spectrum.00496-22 | 2022 | ||
| Genetics | Occurrence and Molecular Characterization of Abundant tet(X) Variants Among Diverse Bacterial Species of Chicken Origin in Jiangsu, China. | Li Y, Peng K, Yin Y, Sun X, Zhang W, Li R, Wang Z. | Front Microbiol | 10.3389/fmicb.2021.751006 | 2021 | |
| Molecular Characterization and Genetic Diversity of Haplogroup E Human Lice in Guinea, West Africa. | Hammoud A, Louni M, Balde MC, Beavogui AH, Gautret P, Raoult D, Fenollar F, Misse D, Mediannikov O. | Microorganisms | 10.3390/microorganisms9020257 | 2021 | ||
| The tetracycline resistome is shaped by selection for specific resistance mechanisms by each antibiotic generation. | Blake KS, Xue YP, Gillespie VJ, Fishbein SRS, Tolia NH, Wencewicz TA, Dantas G. | Nat Commun | 10.1038/s41467-025-56425-5 | 2025 | ||
| Genetics | QitanTech Nanopore Long-Read Sequencing Enables Rapid Resolution of Complete Genomes of Multi-Drug Resistant Pathogens. | Peng K, Yin Y, Li Y, Qin S, Liu Y, Yang X, Wang Z, Li R. | Front Microbiol | 10.3389/fmicb.2022.778659 | 2022 | |
| Genomic Characterization of a Proteus sp. Strain of Animal Origin Co-Carrying blaNDM-1 and lnu(G). | Li Y, Qiu Y, She J, Wang X, Dai X, Zhang L. | Antibiotics (Basel) | 10.3390/antibiotics10111411 | 2021 | ||
| Phylogeny | Effects of Broad-Spectrum Antibiotic (Florfenicol) on Resistance Genes and Bacterial Community Structure of Water and Sediments in an Aquatic Microcosm Model. | Zhang T, Ding Y, Peng J, Dai Y, Luo S, Liu W, Ma Y. | Antibiotics (Basel) | 10.3390/antibiotics11101299 | 2022 | |
| Classification and molecular characteristics of tet(X)-carrying plasmids in Acinetobacter species. | Chen C, Huang PY, Cui CY, He Q, Sun J, Liu YH, Huang JL. | Front Microbiol | 10.3389/fmicb.2022.974432 | 2022 | ||
| Ecology and resistance to UV light and antibiotics of microbial communities on UV cabins in the dermatology service of a Spanish hospital. | Molina-Menor E, Carlotto N, Vidal-Verdu A, Perez-Ferriols A, Perez-Pastor G, Porcar M. | Sci Rep | 10.1038/s41598-023-40996-8 | 2023 | ||
| Genetics | High Genetic Diversity of Carbapenem-Resistant Acinetobacter baumannii Isolates Recovered in Nigerian Hospitals in 2016 to 2020. | Odih EE, Oaikhena AO, Underwood A, Hounmanou YMG, Oduyebo OO, Fadeyi A, Aboderin AO, Ogunleye VO, Argimon S, Akpunonu VN, Oshun PO, Egwuenu A, Okwor TJ, Ihekweazu C, Aanensen DM, Dalsgaard A, Okeke IN. | mSphere | 10.1128/msphere.00098-23 | 2023 | |
| Cellulose Derived Graphene/Polyaniline Nanocomposite Anode for Energy Generation and Bioremediation of Toxic Metals via Benthic Microbial Fuel Cells. | Yaqoob AA, Yaqoob AA, Mohamad Ibrahim MN, Umar K, Bhawani SA, Khan A, Asiri AM, Khan MR, Azam M, AlAmmari AM. | Polymers (Basel) | 10.3390/polym13010135 | 2020 | ||
| Effect of inoculated azotobacteria and Phanerochaete chrysosporium on the composting of olive pomace: Microbial community dynamics and phenols evolution. | Milanovic V, Osimani A, Cardinali F, Taccari M, Garofalo C, Clementi F, Ashoor S, Mozzon M, Foligni R, Canonico L, Ciani M, Aquilanti L. | Sci Rep | 10.1038/s41598-019-53313-z | 2019 | ||
| A comprehensive genomic analysis provides insights on the high environmental adaptability of Acinetobacter strains. | Zhao Y, Wei HM, Yuan JL, Xu L, Sun JQ. | Front Microbiol | 10.3389/fmicb.2023.1177951 | 2023 | ||
| Metabolism | Lysinibacillus fusiformis M5 Induces Increased Complexity in Bacillus subtilis 168 Colony Biofilms via Hypoxanthine. | Gallegos-Monterrosa R, Kankel S, Gotze S, Barnett R, Stallforth P, Kovacs AT. | J Bacteriol | 10.1128/jb.00204-17 | 2017 | |
| Phylogeny | An Update on the Novel Genera and Species and Revised Taxonomic Status of Bacterial Organisms Described in 2016 and 2017. | Munson E, Carroll KC. | J Clin Microbiol | 10.1128/jcm.01181-18 | 2019 | |
| Phylogeny | Acinetobacter variabilis sp. nov. (formerly DNA group 15 sensu Tjernberg & Ursing), isolated from humans and animals. | Krizova L, McGinnis J, Maixnerova M, Nemec M, Poirel L, Mingle L, Sedo O, Wolfgang W, Nemec A | Int J Syst Evol Microbiol | 10.1099/ijs.0.000028 | 2014 |
| #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 ) |
| #23987 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102977 |
| #38466 | ; Curators of the CIP; |
| #48431 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 26390 |
| #66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) . |
| #68369 | Automatically annotated from API 20NE . |
| #68374 | Automatically annotated from API ID32E . |
| #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 . |
| #123796 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110486 |
| #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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