Strain identifier

BacDive ID: 131580

Type strain: Yes

Species: Acetobacteroides hydrogenigenes

Strain Designation: RL-C

Strain history: Y.-L. Qiu and Y. Sekiguchi strain RL-C.

NCBI tax ID(s): 979970 (species)

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General

@ref: 23376

BacDive-ID: 131580

DSM-Number: 24657

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

description: Acetobacteroides hydrogenigenes RL-C is a mesophilic bacterium that was isolated from reed swamp.

NCBI tax id

  • NCBI tax id: 979970
  • Matching level: species

strain history

@refhistory
23376<- Y.-L. Qiu, Qingdao Institute of Bioenergy & Bioprocess Technology, Chinese Academy of Sciences (CAS), Qingdao; RL-C
67770Y.-L. Qiu and Y. Sekiguchi strain RL-C.

doi: 10.13145/bacdive131580.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacteroidota
  • domain: Bacteria
  • phylum: Bacteroidota
  • class: Bacteroidia
  • order: Bacteroidales
  • family: Williamwhitmaniaceae
  • genus: Acetobacteroides
  • species: Acetobacteroides hydrogenigenes
  • full scientific name: Acetobacteroides hydrogenigenes Su et al. 2014

@ref: 23376

domain: Bacteria

phylum: Bacteroidetes

class: Bacteroidia

order: Bacteroidales

family: Williamwhitmaniaceae

genus: Acetobacteroides

species: Acetobacteroides hydrogenigenes

full scientific name: Acetobacteroides hydrogenigenes Su et al. 2014

strain designation: RL-C

type strain: yes

Morphology

cell morphology

  • @ref: 125439
  • gram stain: negative
  • confidence: 99.7

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
23376ACETOBACTEROIDES MEDIUM (DSMZ Medium 1647)yeshttps://mediadive.dsmz.de/medium/1647Name: ACETOBACTEROIDES MEDIUM (DSMZ Medium 1647) Composition: NaHCO3 2.5 g/l NH4Cl 0.824796 g/l Na2S x 9 H2O 0.3 g/l L-Cysteine HCl x H2O 0.3 g/l MgCl2 x 6 H2O 0.2 g/l Yeast extract 0.2 g/l Glucose 0.18 g/l KH2PO4 0.14 g/l Nitrilotriacetic acid 0.0128 g/l Resazurin 0.001 g/l NaCl 0.001 g/l FeCl2 x 4 H2O 0.001 g/l NiCl2 x 6 H2O 0.0001 g/l ZnCl2 0.0001 g/l MnCl2 x 4 H2O 0.0001 g/l CaCl2 x 2 H2O 0.0001 g/l Na2WO4 x 2 H2O 4e-05 g/l CoCl2 x 6 H2O 3e-05 g/l Na2SeO3 x 5 H2O 3e-05 g/l Na2MoO4 x 2 H2O 3e-05 g/l CuCl2 2e-05 g/l Pyridoxine hydrochloride 1e-05 g/l H3BO3 1e-05 g/l p-Aminobenzoic acid 5e-06 g/l Thiamine-HCl x 2 H2O 5e-06 g/l Riboflavin 5e-06 g/l Lipoic acid 5e-06 g/l Nicotinic acid 5e-06 g/l D-Calcium pantothenate 5e-06 g/l Na2SeO3 4e-06 g/l Na2WO4 4e-06 g/l Folic acid 2e-06 g/l Biotin 2e-06 g/l Vitamin B12 1e-07 g/l Distilled water
23376TREPONEMA SACCHAROPHILUM MEDIUM (DSMZ Medium 323)yeshttps://mediadive.dsmz.de/medium/323Name: TREPONEMA SACCHAROPHILUM MEDIUM (DSMZ Medium 323) Composition: Agar 12.0 g/l Na2CO3 2.5 g/l D-Glucose 2.0 g/l Trypticase peptone 2.0 g/l Yeast extract 2.0 g/l L-Cysteine HCl x H2O 1.0 g/l (NH4)2SO4 0.9 g/l NaCl 0.9 g/l KH2PO4 0.45 g/l K2HPO4 0.45 g/l MgSO4 x 7 H2O 0.19 g/l CaCl2 x 2 H2O 0.12 g/l Sodium resazurin 0.0005 g/l n-Butyric acid iso-Butyric acid DL-2-Methylbutyric acid n-Valeric acid iso-Valeric acid Distilled water

culture temp

@refgrowthtypetemperature
23376positivegrowth37
67770positivegrowth37

Physiology and metabolism

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 99.9

Isolation, sampling and environmental information

isolation

@refsample typegeographic locationcountryorigin.countrycontinentlatitudelongitude
23376reed swampShandong Province, Qingdao (36° 00' 00'' N 120° 00' 00'' E)ChinaCHNAsia36120
67770Reed swamp in QingdaoShandong ProvinceChinaCHNAsia

isolation source categories

Cat1Cat2Cat3
#Environmental#Terrestrial#Wetland (Swamp)
#Host#Plants#Herbaceous plants (Grass,Crops)

taxonmaps

  • @ref: 69479
  • File name: preview.99_101102.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_1713;96_7255;97_8701;98_10668;99_101102&stattab=map
  • Last taxonomy: Acetobacteroides hydrogenigenes subclade
  • 16S sequence: AB611036
  • Sequence Identity:
  • Total samples: 469
  • soil counts: 16
  • aquatic counts: 431
  • animal counts: 9
  • plant counts: 13

Safety information

risk assessment

  • @ref: 23376
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

  • @ref: 23376
  • description: Acetobacteroides hydrogenigenes gene for 16S rRNA, partial sequence
  • accession: AB611036
  • length: 1440
  • database: nuccore
  • NCBI tax ID: 979970

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Acetobacteroides hydrogenigenes RL-CGCA_004340205scaffoldncbi979970
66792Acetobacteroides hydrogenigenes strain RL-C979970.3wgspatric979970
66792Acetobacteroides hydrogenigenes DSM 246572731639222draftimg979970

GC content

  • @ref: 23376
  • GC-content: 51.2
  • method: high performance liquid chromatography (HPLC)

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno89.727no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)yes69.934no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no84.611no
125438spore-formingspore-formingAbility to form endo- or exosporesno86.768no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno92.053no
125438motile2+flagellatedAbility to perform flagellated movementno81no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno99.9
125439BacteriaNetmotilityAbility to perform movementno60
125439BacteriaNetgram_stainReaction to gram-stainingnegative99.7
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthanaerobe89.8

External links

@ref: 23376

culture collection no.: DSM 24657, CGMCC 1.5173, JCM 17603

straininfo link

  • @ref: 89986
  • straininfo: 405703

literature

  • topic: Phylogeny
  • Pubmed-ID: 24899658
  • title: Acetobacteroides hydrogenigenes gen. nov., sp. nov., an anaerobic hydrogen-producing bacterium in the family Rikenellaceae isolated from a reed swamp.
  • authors: Su XL, Tian Q, Zhang J, Yuan XZ, Shi XS, Guo RB, Qiu YL
  • journal: Int J Syst Evol Microbiol
  • DOI: 10.1099/ijs.0.063917-0
  • year: 2014
  • mesh: Bacterial Typing Techniques, Bacteroidetes/*classification/genetics/isolation & purification, Base Composition, China, DNA, Bacterial/genetics, Fatty Acids/chemistry, Hydrogen/metabolism, Molecular Sequence Data, Phosphatidylethanolamines/chemistry, *Phylogeny, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNA, *Water Microbiology, *Wetlands
  • topic2: Genetics

Reference

@idauthorstitledoi/urlcataloguejournalpubmed
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
23376Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-24657Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 24657)
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
66794Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar SchomburgBRENDA, the ELIXIR core data resource in 2021: new developments and updates10.1093/nar/gkaa1025Nucleic 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.MicrobeAtlas 1.0 betahttps://microbeatlas.org/
89986Reimer, 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-ID405703.1
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