Strain identifier

BacDive ID: 135985

Type strain: No

Species: Acetobacter aceti

Strain Designation: 58, A-34

Strain history: CIP <- 1986, IAM <- T. Asai: strain A-34 <- K. Kondo, IFO: strain 58

NCBI tax ID(s): 435 (species)

For citation purpose refer to the digital object identifier (doi) of the current version.
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General

@ref: 35278

BacDive-ID: 135985

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

description: Acetobacter aceti 58 is a mesophilic, Gram-negative bacterium that was isolated from Rice vinegar.

NCBI tax id

  • NCBI tax id: 435
  • Matching level: species

strain history

@refhistory
67770IAM 1802 <-- T. Asai A-34 <-- IFO 3281 <-- K. Kondo 58.
35278CIP <- 1986, IAM <- T. Asai: strain A-34 <- K. Kondo, IFO: strain 58

doi: 10.13145/bacdive135985.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Alphaproteobacteria
  • order: Rhodospirillales
  • family: Acetobacteraceae
  • genus: Acetobacter
  • species: Acetobacter aceti
  • full scientific name: Acetobacter aceti (Pasteur 1864) Beijerinck 1898 (Approved Lists 1980)
  • synonyms

    • @ref: 20215
    • synonym: Mycoderma aceti

@ref: 35278

domain: Bacteria

phylum: Proteobacteria

class: Alphaproteobacteria

order: Rhodospirillales

family: Acetobacteraceae

genus: Acetobacter

species: Acetobacter aceti

strain designation: 58, A-34

type strain: no

Morphology

cell morphology

@refgram stainconfidence
125439negative98.3
125438negative97.833

Culture and growth conditions

culture medium

@refnamegrowthcompositionlink
35278MEDIUM 1 - for Acetobacter, Azotobacter, Gluconobacter, Gluconacetobacter, Mesorhizodium ciceri and Pseudomonas doudoroffiiyesDistilled water make up to (1000.000 ml);Agar (15.000 g);Yeast extract (5.000 g);Peptone (3.000 g);Mannitol (25.000 g)
35278CIP Medium 1yeshttps://catalogue-crbip.pasteur.fr/fiche_milieu.xhtml?crbip=1

culture temp

@refgrowthtypetemperature
35278positivegrowth30
67770positivegrowth25

Physiology and metabolism

spore formation

@refspore formationconfidence
125439no99
125438no93.512

observation

  • @ref: 67770
  • observation: quinones: Q-9

Isolation, sampling and environmental information

isolation

  • @ref: 67770
  • sample type: Rice vinegar

taxonmaps

  • @ref: 69479
  • File name: preview.99_2615.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_29;96_152;97_827;98_2025;99_2615&stattab=map
  • Last taxonomy: Acetobacter
  • 16S sequence: AB680045
  • Sequence Identity:
  • Total samples: 888
  • soil counts: 133
  • aquatic counts: 132
  • animal counts: 499
  • plant counts: 124

Safety information

risk assessment

  • @ref: 35278
  • biosafety level: 1
  • biosafety level comment: Risk group (French classification)

Sequence information

16S sequences

@refdescriptionaccessionlengthdatabaseNCBI tax ID
67770Acetobacter aceti gene for 16S rRNA, partial sequence, strain: NBRC 3281AB6800451413nuccore435
124043Acetobacter aceti 16S rRNA, partial sequence.AB003968155nuccore435
124043Acetobacter aceti genes for 16S rRNA, 16S-23S rRNA ITS, and 23S rRNA, partial and complete sequences.AB161358923nuccore435
124043Acetobacter aceti partial 16S rRNA gene, strain LMG 1512AJ012545694nuccore435

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Acetobacter aceti strain NBRC 3281435.8wgspatric435
67770Acetobacter aceti NBRC 3281GCA_002723895contigncbi435

GC content

  • @ref: 67770
  • GC-content: 56.2
  • method: high performance liquid chromatography (HPLC)

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno97.833no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no93.731no
125438spore-formingspore-formingAbility to form endo- or exosporesno93.512no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno95.369no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes80.873no
125438motile2+flagellatedAbility to perform flagellated movementyes70.145no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno99
125439BacteriaNetmotilityAbility to perform movementyes77.3
125439BacteriaNetgram_stainReaction to gram-stainingnegative98.3
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe75.6

External links

@ref: 35278

culture collection no.: CIP 102998, IAM 1802, IFO 3281, JCM 20268, LMG 1512, NBRC 3281

straininfo link

  • @ref: 93241
  • straininfo: 14539

literature

topicPubmed-IDtitleauthorsjournalyearmeshtopic2DOI
Enzymology1369309Purification of restriction endonuclease from Acetobacter aceti IFO 3281 (AatII) and its properties.Sato H, Suzuki T, Yamada YAgric Biol Chem1990Acetobacter/*enzymology, Base Sequence, Cations/pharmacology, Chromatography, Chromatography, Gel, DNA Restriction Enzymes/chemistry/*isolation & purification/metabolism, DNA, Viral/metabolism, Deoxyribonucleases, Type II Site-Specific/chemistry/*isolation & purification/metabolism, Electrophoresis, Polyacrylamide Gel, Hot Temperature, Hydrogen-Ion Concentration, Isoelectric Focusing, Molecular Sequence Data, Molecular Weight, Plasmids, StreptomycinMetabolism
Enzymology6292849New restriction endonucleases from Acetobacter aceti and Bacillus aneurinolyticus.Sugisaki H, Maekawa Y, Kanazawa S, Takanami MNucleic Acids Res1982Acetobacter/*enzymology, Bacillus/*enzymology, Base Sequence, DNA Restriction Enzymes/isolation & purification/*metabolism, Plasmids, Substrate SpecificityPhylogeny10.1093/nar/10.19.5747
Metabolism12898066Growth characteristics and oxidative capacity of Acetobacter aceti IFO 3281: implications for L-ribulose production.Kylma AK, Granstrom T, Leisola MAppl Microbiol Biotechnol2003Acetic Acid/metabolism, Acetobacter/enzymology/*growth & development/*metabolism, Biomass, Bioreactors, Biotransformation, Carbon Dioxide/metabolism, Cell Membrane/metabolism, Cell-Free System/metabolism, Culture Media/chemistry, Enzymes/metabolism, Ethanol/metabolism, Glycerol/metabolism, Kinetics, Oxidation-Reduction, Oxygen Consumption, Pentoses/*metabolism, Ribitol/*metabolism, Succinic Acid/metabolismEnzymology10.1007/s00253-003-1406-4
16232643Biochemical preparation of L-ribose and L-arabinose from ribitol: a new approach.Ahmed Z, Shimonishi T, Bhuiyan SH, Utamura M, Takada G, Izumori KJ Biosci Bioeng199910.1016/s1389-1723(99)80225-4
Biotechnology16232684Production of D-lyxose from D-glucose by microbial and enzymatic reactions.Ahmed Z, Sasahara H, Bhuiyan SH, Saiki T, Shimonishi T, Takada G, Izumori KJ Biosci Bioeng199910.1016/s1389-1723(00)87100-5

Reference

@idauthorstitledoi/urlcatalogue
20215Parte, 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 DSMZ10.1099/ijsem.0.004332
35278Curators of the CIPhttps://catalogue-crbip.pasteur.fr/fiche_catalogue.xhtml?crbip=CIP%20102998Collection of Institut Pasteur (CIP 102998)
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg OvermannAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)https://diaspora-project.de/progress.html#genomes
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
69479João 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 betahttps://microbeatlas.org/
93241Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.StrainInfo: A central database for resolving microbial strain identifiers10.60712/SI-ID14539.1
124043Isabel Schober, Julia KoblitzData extracted from sequence databases, automatically matched based on designation and taxonomy
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg OvermannPredicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets10.1101/2024.08.12.607695
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardydeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1https://github.com/GenomeNet/deepG