Strain identifier

BacDive ID: 8131

Type strain: Yes

Species: Acinetobacter bouvetii

Strain Designation: 4BO2, 4B02

Strain history: CIP <- 2002, P. Kämpfer, Giessen Univ., Giessen, Germany: strain 4B02

For citation purpose refer to the digital object identifier (doi) of the current version.
Archive
version 9.3 (current version):
version 9.2:
version 9.1:
version 9:
version 8.1:
version 8:
version 7.1:
version 7:
version 6:
version 5:
version 4.1:
version 4:
version 3:
version 2.1:
version 2:
version 1:
version 9.3 (current version)

General

@ref: 5639

BacDive-ID: 8131

DSM-Number: 14964

keywords: genome sequence, 16S sequence, Bacteria, aerobe, mesophilic, Gram-negative, oval-shaped

description: Acinetobacter bouvetii 4BO2 is an aerobe, mesophilic, Gram-negative bacterium that was isolated from Wastewater treatment plant.

NCBI tax id

NCBI tax idMatching level
202951species
1120925strain

strain history

@refhistory
5639<- P. Kämpfer; 4BO2 <- G. Knight
421492002, P. Kämpfer, Univ., Giessen, Germany: strain 4B02
67770DSM 14964 <-- P. Kämpfer 4B02 <-- G. Knight.
116903CIP <- 2002, P. Kämpfer, Giessen Univ., Giessen, Germany: strain 4B02

doi: 10.13145/bacdive8131.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Gammaproteobacteria
  • order: Pseudomonadales
  • family: Moraxellaceae
  • genus: Acinetobacter
  • species: Acinetobacter bouvetii
  • full scientific name: Acinetobacter bouvetii Carr et al. 2003

@ref: 5639

domain: Bacteria

phylum: Proteobacteria

class: Gammaproteobacteria

order: Pseudomonadales

family: Moraxellaceae

genus: Acinetobacter

species: Acinetobacter bouvetii

full scientific name: Acinetobacter bouvetii Carr et al. 2003

strain designation: 4BO2, 4B02

type strain: yes

Morphology

cell morphology

@refgram staincell shapemotilityconfidence
116903negativeoval-shapedno
125438negative99.5

colony morphology

  • @ref: 116903

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
5639CASO AGAR (MERCK 105458) (DSMZ Medium 220)yeshttps://mediadive.dsmz.de/medium/220Name: 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
5639TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)yeshttps://mediadive.dsmz.de/medium/535Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water
42149MEDIUM 72- for trypto casein soja agaryesDistilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
116903CIP Medium 72yeshttps://catalogue-crbip.pasteur.fr/fiche_milieu.xhtml?crbip=72

culture temp

@refgrowthtypetemperature
5639positivegrowth30
42149positivegrowth30
58979positivegrowth30
67770positivegrowth30
116903positivegrowth10-41
116903nogrowth45

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
58979aerobe
116903obligate aerobe
125439obligate aerobe98.1

spore formation

@refspore formationconfidence
125438no94.9
125439no91.2

halophily

@refsaltgrowthtested relationconcentration
116903NaClpositivegrowth0-2 %
116903NaClnogrowth4 %
116903NaClnogrowth6 %
116903NaClnogrowth8 %
116903NaClnogrowth10 %

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
11690317632nitrate-reduction
11690316301nitrite-reduction
11690317632nitrate-respiration
6836925115malate+assimilation
6836917128adipate-assimilation
6836927689decanoate+assimilation
6836924265gluconate-assimilation
6836917306maltose-assimilation
6836959640N-acetylglucosamine-assimilation
6836916899D-mannitol-assimilation
6836916024D-mannose-assimilation
6836930849L-arabinose-assimilation
6836917634D-glucose-assimilation
683695291gelatin-hydrolysis
683694853esculin-hydrolysis
6836916199urea-hydrolysis
6836929016arginine-hydrolysis
6836917634D-glucose-fermentation
6836927897tryptophan-energy source
6836917632nitrate-reduction

antibiotic resistance

  • @ref: 116903
  • metabolite: 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)
  • is antibiotic: yes
  • is sensitive: no
  • is resistant: yes

metabolite production

@refChebi-IDmetaboliteproduction
6836935581indoleno
11690335581indoleno

metabolite tests

@refChebi-IDmetaboliteindole testvoges-proskauer-testmethylred-test
6836935581indole-
11690315688acetoin-
11690317234glucose-

enzymes

@refvalueactivityec
68382alpha-fucosidase-3.2.1.51
68382alpha-mannosidase-3.2.1.24
68382N-acetyl-beta-glucosaminidase-3.2.1.52
68382beta-glucosidase-3.2.1.21
68382beta-galactosidase-3.2.1.23
68382alpha-galactosidase-3.2.1.22
68382acid phosphatase-3.1.3.2
68382naphthol-AS-BI-phosphohydrolase-
68382alpha-chymotrypsin-3.4.21.1
68382cystine arylamidase-3.4.11.3
68382trypsin-3.4.21.4
68382valine arylamidase-
68382leucine arylamidase+3.4.11.1
68382lipase (C 14)-
68382esterase lipase (C 8)+
68382alkaline phosphatase-3.1.3.1
68382esterase (C 4)+
116903oxidase-
116903beta-galactosidase+3.2.1.23
116903gelatinase-
116903catalase+1.11.1.6
116903gamma-glutamyltransferase-2.3.2.2
116903urease-3.5.1.5
68382alpha-glucosidase-3.2.1.20
68382beta-glucuronidase-3.2.1.31
68369cytochrome oxidase-1.9.3.1
68369gelatinase-
68369beta-glucosidase-3.2.1.21
68369urease-3.5.1.5
68369arginine dihydrolase-3.5.3.6

API zym

@refControlAlkaline phosphataseEsteraseEsterase LipaseLipaseLeucine arylamidaseValine arylamidaseCystine arylamidaseTrypsinalpha- ChymotrypsinAcid phosphataseNaphthol-AS-BI-phosphohydrolasealpha- Galactosidasebeta- Galactosidasebeta- Glucuronidasealpha- Glucosidasebeta- GlucosidaseN-acetyl-beta- glucosaminidasealpha- Mannosidasealpha- Fucosidase
116903--++-+--------------

API 20NE

@refNO3TRPGLU_ FermADH ArgUREESCGELPNPGGLU_ AssimARAMNEMANNAGMALGNTCAPADIMLTCITPACOX
5639---------------+-+---

API biotype100

@refGLUFRUGALTREMNESBEMELSACRAFMTEMALLACLTEMbGaMaGaCELGENMbGuESCRIBARAXYLPLERHAFUCMLZDARLLARLXLTDULTAGGLYINOMANMTLTURSORADOHBGLYXERYMDG3MDGSATMUCLTATDTATMTATDMLTLMLTCATETATETTECITGRTGAT2KG5KGTRYNAGGNTPACPATpOBEQATGTEmOBEBATPPATCMTTGEBETPCEABTHINLATCAPCYTHISSUCFUMGREGYTAVTETNTTNGLNITA3OBUAPTGTTPRODALALALASERMNTPROPTYR2KT
116903-------------------------------------------------+---+--------+--+-+++-----+++++++----+---++++--+++

Isolation, sampling and environmental information

isolation

@refsample typegeographic locationcountryorigin.countrycontinentisolation date
5639Wastewater treatment plantVictoriaAustraliaAUSAustralia and Oceania
58979Activated sludge
67770Activated sludge plants in VictoriaAustraliaAUSAustralia and Oceania
116903Environment, Bendigo waste water treatment plantVictoriaAustraliaAUSAustralia and Oceania1991

isolation source categories

Cat1Cat2Cat3
#Engineered#Waste#Wastewater
#Engineered#Waste#Water treatment plant

Safety information

risk assessment

@refbiosafety levelbiosafety level comment
56391Risk group (German classification)
1169031Risk group (French classification)

Sequence information

16S sequences

@refdescriptionaccessionlengthdatabaseNCBI tax ID
20218Acinetobacter bouvetii strain DSM14964 16S ribosomal RNA gene, partial sequenceEF611408452nuccore202951
20218Acinetobacter bouvetii genomic DNA containing 16S-23S IGS, strain DSM 14964, direct sequence AllHE651863668nuccore202951
20218Acinetobacter bouvetii 16S rRNA gene, strain DSM 14964HE6519271530nuccore202951
5639Acinetobacter bouvetii 16S ribosomal RNA gene, partial sequenceAF5098271325nuccore202951
124043Acinetobacter nosocomialis strain RUH 2376 16S ribosomal RNA gene, partial sequence.HQ1801811390nuccore202951
124043Acinetobacter bouvetii strain DSM 14964 16S ribosomal RNA gene, partial sequence.OR6602661096nuccore202951

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Acinetobacter bouvetii JCM 18991GCA_018324105completencbi202951
66792Acinetobacter bouvetii DSM 14964 = CIP 107468 [PRJNA199256]1120925.4wgspatric1120925
66792Acinetobacter bouvetii DSM 14964 = CIP 107468 [PRJNA201594]1120925.3wgspatric1120925
66792Acinetobacter bouvetii strain GTC 3697202951.3wgspatric202951
66792Acinetobacter bouvetii strain JCM 18991202951.7completepatric202951
66792Acinetobacter bouvetii DSM 149642565956682draftimg1120925
66792Acinetobacter bouvetii GTC 36972660238193draftimg202951
66792Acinetobacter bouvetii DSM 149642517093005draftimg1120925
67770Acinetobacter bouvetii DSM 14964 = CIP 107468GCA_000368865scaffoldncbi1120925
67770Acinetobacter bouvetii DSM 14964 = CIP 107468GCA_000373725scaffoldncbi1120925
67770Acinetobacter bouvetii GTC 3697GCA_001485025contigncbi202951

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe98.1
125439BacteriaNetgram_stainReaction to gram-stainingnegative85.5
125439BacteriaNetmotilityAbility to perform movementyes61
125439BacteriaNetspore_formationAbility to form endo- or exosporesno91.2
125438gram-positivegram-positivePositive reaction to Gram-stainingno99.5no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no97.883yes
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes89.517yes
125438spore-formingspore-formingAbility to form endo- or exosporesno94.9no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno99.475yes
125438motile2+flagellatedAbility to perform flagellated movementno80.754no

External links

@ref: 5639

culture collection no.: CCUG 50766, DSM 14964, CIP 107468, JCM 18991, CCM 7196, GTC 3697, KCTC 12414, NBRC 112580

straininfo link

  • @ref: 77537
  • straininfo: 113565

literature

topicPubmed-IDtitleauthorsjournalDOIyearmeshtopic2
Phylogeny12892111Seven novel species of Acinetobacter isolated from activated sludge.Carr EL, Kampfer P, Patel BKC, Gurtler V, Seviour RJInt J Syst Evol Microbiol10.1099/ijs.0.02486-02003Acinetobacter/*classification/genetics/*isolation & purification, Base Sequence, DNA, Bacterial/genetics, DNA, Ribosomal/genetics, In Situ Hybridization, Fluorescence, Molecular Sequence Data, Phenotype, Phylogeny, RNA, Bacterial/genetics, RNA, Ribosomal, 16S/genetics, Sewage/*microbiology, Terminology as Topic, VictoriaGenetics
Metabolism32926028Precursor-directed biosynthesis of catechol compounds in Acinetobacter bouvetii DSM 14964.Reitz ZL, Butler AChem Commun (Camb)10.1039/d0cc04171h2020Acinetobacter/*chemistry/metabolism, Catechols/chemistry/*metabolism, Molecular Structure, Stereoisomerism

Reference

@idauthorscataloguedoi/urltitlejournalpubmed
5639Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 14964)https://www.dsmz.de/collection/catalogue/details/culture/DSM-14964
20215Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.10.1099/ijsem.0.004332List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ
20218Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.10.1016/j.syapm.2013.11.002StrainInfo introduces electronic passports for microorganisms.Syst Appl Microbiol. 37: 42-50 201424321274
42149Curators of the CIPhttps://brclims.pasteur.fr/brcWeb/souche/detail/1/4907
58979Curators of the CCUGCulture Collection University of Gothenburg (CCUG) (CCUG 50766)https://www.ccug.se/strain?id=50766
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmannhttps://diaspora-project.de/progress.html#genomesAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
68369Automatically annotated from API 20NE
68382Automatically annotated from API zym
77537Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID113565.1StrainInfo: A central database for resolving microbial strain identifiers
116903Curators of the CIPCollection of Institut Pasteur (CIP 107468)https://catalogue-crbip.pasteur.fr/fiche_catalogue.xhtml?crbip=CIP%20107468
124043Isabel Schober, Julia KoblitzData extracted from sequence databases, automatically matched based on designation and taxonomy
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann10.1101/2024.08.12.607695Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardyhttps://github.com/GenomeNet/deepGdeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1