Strain identifier

BacDive ID: 158177

Type strain: Yes

Species: Catenisphaera adipataccumulans

Strain Designation: GK12

Strain history: <- Taiki Katayama, Manabu Kanno, Natl. Inst. Advanced Industrial Sci. and Technol., Tsukuba, Japan; GK12

NCBI tax ID(s): 700500 (species)

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General

@ref: 64770

BacDive-ID: 158177

DSM-Number: 25799

keywords: genome sequence, 16S sequence, Bacteria, mesophilic

description: Catenisphaera adipataccumulans GK12 is a mesophilic bacterium that was isolated from anaerobic methanogenic digester fed with food waste.

NCBI tax id

  • NCBI tax id: 700500
  • Matching level: species

strain history

  • @ref: 64770
  • history: <- Taiki Katayama, Manabu Kanno, Natl. Inst. Advanced Industrial Sci. and Technol., Tsukuba, Japan; GK12

doi: 10.13145/bacdive158177.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacillota
  • domain: Bacteria
  • phylum: Bacillota
  • class: Erysipelotrichia
  • order: Erysipelotrichales
  • family: Erysipelotrichaceae
  • genus: Catenisphaera
  • species: Catenisphaera adipataccumulans
  • full scientific name: Catenisphaera adipataccumulans Kanno et al. 2015

@ref: 64770

domain: Bacteria

phylum: Firmicutes

class: Erysipelotrichia

order: Erysipelotrichales

family: Erysipelotrichaceae

genus: Catenisphaera

species: Catenisphaera adipataccumulans

full scientific name: Catenisphaera adipataccumulans Kanno et al. 2015

strain designation: GK12

type strain: yes

Morphology

cell morphology

  • @ref: 125438
  • motility: no
  • confidence: 92.667

Culture and growth conditions

culture medium

  • @ref: 64770
  • name: PYG MEDIUM (MODIFIED) (DSMZ Medium 104)
  • growth: yes
  • link: https://mediadive.dsmz.de/medium/104
  • composition: Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

culture temp

  • @ref: 64770
  • growth: positive
  • type: growth
  • temperature: 37

Isolation, sampling and environmental information

isolation

  • @ref: 64770
  • sample type: anaerobic methanogenic digester fed with food waste
  • geographic location: Hokkaido Prefecture, Hukagawa
  • country: Japan
  • origin.country: JPN
  • continent: Asia

isolation source categories

Cat1Cat2Cat3
#Engineered#Waste#Domestic waste
#Engineered#Waste#Sewage sludge

Safety information

risk assessment

  • @ref: 64770
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

  • @ref: 64770
  • description: Catenisphaera adipataccumulans gene for 16S rRNA, partial sequence
  • accession: AB537978
  • length: 1419
  • database: nuccore
  • NCBI tax ID: 700500

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Catenisphaera adipataccumulans DSM 25799GCA_014202755scaffoldncbi700500
66792Catenisphaera adipataccumulans strain DSM 25799700500.3wgspatric700500
66792Catenisphaera adipataccumulans DSM 257992861598655draftimg700500

GC content

  • @ref: 64770
  • GC-content: 47.7
  • method: high performance liquid chromatography (HPLC)

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes86.331no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes79.69no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no95.393no
125438spore-formingspore-formingAbility to form endo- or exosporesno77.366no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno91.611no
125438motile2+flagellatedAbility to perform flagellated movementno92.667no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes64.3
125439BacteriaNetmotilityAbility to perform movementyes66.9
125439BacteriaNetgram_stainReaction to gram-stainingvariable84.1
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthmicroaerophile88.9

External links

@ref: 64770

culture collection no.: DSM 25799, NBRC 108915

straininfo link

  • @ref: 111008
  • straininfo: 398012

literature

  • topic: Phylogeny
  • Pubmed-ID: 25481294
  • title: Catenisphaera adipataccumulans gen. nov., sp. nov., a member of the family Erysipelotrichaceae isolated from an anaerobic digester.
  • authors: Kanno M, Katayama T, Morita N, Tamaki H, Hanada S, Kamagata Y
  • journal: Int J Syst Evol Microbiol
  • DOI: 10.1099/ijs.0.000021
  • year: 2014
  • mesh: Bacteria, Anaerobic/*classification/genetics/isolation & purification, Bacterial Typing Techniques, Base Composition, Bioreactors/microbiology, DNA, Bacterial/genetics, Fatty Acids/chemistry, Fermentation, Gram-Positive Rods/*classification/genetics/isolation & purification, Japan, Molecular Sequence Data, Phospholipids/chemistry, *Phylogeny, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNA
  • topic2: Enzymology

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
64770Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-25799Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 25799)
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
111008Reimer, 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-ID398012.1
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