Strain identifier

BacDive ID: 24

Type strain: No

Species: Acetobacter pasteurianus

Strain Designation: L. 1374

Strain history: NRIC 0475 <-- TUA 845B <-- IFO 13755 <-- J. De Ley <-- NCIB 8618 <-- W. Verhoeven L1374.

NCBI tax ID(s): 104098 (species)

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General

@ref: 745

BacDive-ID: 24

DSM-Number: 2347

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

description: Acetobacter pasteurianus L. 1374 is a mesophilic, Gram-negative bacterium that was isolated from Ditch water.

NCBI tax id

  • NCBI tax id: 104098
  • Matching level: species

strain history

@refhistory
745<- NCIB <- W. Verhoeven, L. 1374
67770NRIC 0475 <-- TUA 845B <-- IFO 13755 <-- J. De Ley <-- NCIB 8618 <-- W. Verhoeven L1374.

doi: 10.13145/bacdive24.20250331.9.3

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 pasteurianus
  • full scientific name: Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916 (Approved Lists 1980)

  • synonyms

    @refsynonym
    20215Acetobacter peroxydans
    20215Acetobacter paradoxus
    20215Acetobacter paradoxum
    20215Acetobacter pasteurianus subsp. ascendens
    20215Bacterium ascendens
    20215Acetobacter ascendens
    20215Acetobacter pasteurianus subsp. paradoxus
    20215Mycoderma pasteurianum

@ref: 745

domain: Bacteria

phylum: Proteobacteria

class: Alphaproteobacteria

order: Rhizobiales

family: Acetobacteraceae

genus: Acetobacter

species: Acetobacter pasteurianus

full scientific name: Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916

strain designation: L. 1374

type strain: no

Morphology

cell morphology

@refgram stainconfidence
125438negative95.86
125439negative95.5

Culture and growth conditions

culture medium

  • @ref: 745
  • name: ACETOBACTER PEROXYDANS MEDIUM (DSMZ Medium 254)
  • growth: yes
  • link: https://mediadive.dsmz.de/medium/254
  • composition: Name: ACETOBACTER PEROXYDANS MEDIUM (DSMZ Medium 254) Composition: Agar 15.0 g/l Malt extract 15.0 g/l Yeast extract 5.0 g/l Ethanol Distilled water

culture temp

@refgrowthtypetemperature
745positivegrowth26
67770positivegrowth30

Physiology and metabolism

spore formation

  • @ref: 125438
  • spore formation: no
  • confidence: 92.881

observation

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

Isolation, sampling and environmental information

isolation

  • @ref: 67770
  • sample type: Ditch water
  • country: Netherlands
  • origin.country: NLD
  • continent: Europe

taxonmaps

  • @ref: 69479
  • File name: preview.99_5459.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_29;96_152;97_3243;98_4077;99_5459&stattab=map
  • Last taxonomy: Acetobacter
  • 16S sequence: AB680509
  • Sequence Identity:
  • Total samples: 2285
  • soil counts: 222
  • aquatic counts: 569
  • animal counts: 1231
  • plant counts: 263

Safety information

risk assessment

  • @ref: 745
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

@refdescriptionaccessionlengthdatabaseNCBI tax ID
20218Acetobacter pasteurianus strain DSM 2347 16S ribosomal RNA gene, partial sequenceGQ2406391326nuccore438
67770Acetobacter peroxydans gene for 16S rRNA, partial sequenceAB0323521335nuccore104098
67770Acetobacter peroxydans gene for 16S rRNA, partial sequence, strain: JCM 25077AB6650821406nuccore104098
67770Acetobacter peroxydans gene for 16S rRNA, partial sequence, strain: NBRC 13755AB6805091409nuccore104098
67770Acetobacter peroxydans strain LMG 1635 16S ribosomal RNA gene, partial sequenceJF7939691352nuccore104098
124043Acetobacter peroxydans gene for 16S ribosomal RNA, partial sequence, strain: NRIC 0475.LC1087451478nuccore104098

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Acetobacter peroxydans ATCC 12874GCA_008125125scaffoldncbi104098
66792Acetobacter peroxydans strain ATCC 12874104098.10wgspatric104098
66792Acetobacter peroxydans strain LMG 1635104098.11wgspatric104098
66792Acetobacter peroxydans strain NBRC 13755104098.9wgspatric104098
66792Acetobacter peroxydans ATCC 128742596583685draftimg104098
67770Acetobacter peroxydans NBRC 13755GCA_006539345contigncbi104098
67770Acetobacter peroxydans LMG 1635GCA_011516745contigncbi104098

GC content

@refGC-contentmethod
74562.5
6777060.3high performance liquid chromatography (HPLC)
6777059.7high performance liquid chromatography (HPLC)

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe72.9
125439BacteriaNetgram_stainReaction to gram-stainingnegative95.5
125439BacteriaNetmotilityAbility to perform movementyes86.3
125439BacteriaNetspore_formationAbility to form endo- or exosporesno73.5
125438gram-positivegram-positivePositive reaction to Gram-stainingno95.86no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no85.565no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes72.947no
125438spore-formingspore-formingAbility to form endo- or exosporesno92.881no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno94.837no
125438motile2+flagellatedAbility to perform flagellated movementyes57.651no

External links

@ref: 745

culture collection no.: DSM 2347, ATCC 12874, NCIB 8618, IFO 13755, JCM 25077, ATCC 12784, BCRC 12954, CCM 3615, CCUG 18131, KACC 19721, LMG 1635, NBRC 13755, NCCB 88049, NCCB 89009, NCIMB 8618, NRIC 0475

straininfo link

  • @ref: 69708
  • straininfo: 14600

literature

topicPubmed-IDtitleauthorsjournalDOIyearmeshtopic2
Metabolism7765650Factors relevant to the production of (R)-(+)-glycidol (2,3-epoxy-1-propanol) from racemic glycidol by enantioselective oxidation with Acetobacter pasteurianus ATCC 12874.Geerlof A, Jongejan JA, van Dooren TJ, Racemakers-Franken PC, van den Tweel WJ, Duine JAEnzyme Microb Technol10.1016/0141-0229(94)90143-019941-Propanol/chemistry/metabolism, Acetobacter/*metabolism, Alcohol Oxidoreductases/metabolism, Biotechnology, Drug Stability, Epoxy Compounds/*chemistry/*metabolism, Hydrogen-Ion Concentration, Kinetics, Oxidation-Reduction, *Propanols, Stereoisomerism, TemperatureBiotechnology
Enzymology27392873Characterization of the Enantioselective Properties of the Quinohemoprotein Alcohol Dehydrogenase of Acetobacter pasteurianus LMG 1635. 1. Different Enantiomeric Ratios of Whole Cells and Purified Enzyme in the Kinetic Resolution of Racemic Glycidol.Machado SS, Wandel U, Jongejan JA, Straathof AJ, Duine JABiosci Biotechnol Biochem10.1271/bbb.63.101999

Reference

@idauthorscataloguedoi/urltitlejournalpubmed
745Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 2347)https://www.dsmz.de/collection/catalogue/details/culture/DSM-2347
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
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)
66794Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg10.1093/nar/gkaa1025BRENDA, the ELIXIR core data resource in 2021: new developments and updatesNucleic Acids Res. 49: D498-D508 202033211880
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.https://microbeatlas.org/MicrobeAtlas 1.0 beta
69708Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID14600.1StrainInfo: A central database for resolving microbial strain identifiers
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