Strain identifier

BacDive ID: 133004

Type strain: Yes

Species: Pseudalgibacter alginicilyticus

Strain Designation: HZ22

Strain history: Y. Ding HZ22.

NCBI tax ID(s): 1736674 (species)

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General

@ref: 24792

BacDive-ID: 133004

DSM-Number: 26350

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

description: Pseudalgibacter alginicilyticus HZ22 is a mesophilic bacterium that was isolated from brown seaweed .

NCBI tax id

  • NCBI tax id: 1736674
  • Matching level: species

strain history

@refhistory
24792<- Y. Ding, Zhejiang Univ., College of Life Scs., Hangzhou, China; HZ22 <- F.-Y. Chi
67770Y. Ding HZ22.

doi: 10.13145/bacdive133004.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacteroidota
  • domain: Bacteria
  • phylum: Bacteroidota
  • class: Flavobacteriia
  • order: Flavobacteriales
  • family: Flavobacteriaceae
  • genus: Pseudalgibacter
  • species: Pseudalgibacter alginicilyticus
  • full scientific name: Pseudalgibacter alginicilyticus (Sun et al. 2016) Li et al. 2022
  • synonyms

    @refsynonym
    20215Algibacter alginicilyticus
    20215Algibacter alginolytica

@ref: 24792

domain: Bacteria

phylum: Bacteroidetes

class: Flavobacteriia

order: Flavobacteriales

family: Flavobacteriaceae

genus: Algibacter

species: Algibacter alginicilyticus

full scientific name: Algibacter alginicilyticus Sun et al. 2016

strain designation: HZ22

type strain: yes

Morphology

cell morphology

@refgram stainconfidencemotility
125439negative99.9
12543895no
125438negative97.941

Culture and growth conditions

culture medium

  • @ref: 24792
  • name: MODIFIED BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 1517)
  • growth: yes
  • link: https://mediadive.dsmz.de/medium/1517
  • composition: Name: MODIFIED BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 1517) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

culture temp

@refgrowthtypetemperature
24792positivegrowth28
67770positivegrowth28

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: obligate aerobe
  • confidence: 97.1

spore formation

@refspore formationconfidence
125439no95.8
125438no91.718

observation

  • @ref: 67770
  • observation: quinones: MK-6

Isolation, sampling and environmental information

isolation

@refsample typehost speciesgeographic locationcountryorigin.countrycontinent
24792brown seaweed (Laminaria japonica)Laminaria japonicaEast China Sea, Zhoushan Islands (Zhejiang)ChinaCHNAsia
67770Surface of a brown seaweed, Laminaria japonicaLaminaria japonicaZhejiangChinaCHNAsia

isolation source categories

  • Cat1: #Host
  • Cat2: #Algae
  • Cat3: #Brown Algae

taxonmaps

  • @ref: 69479
  • File name: preview.99_3452.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_107;96_756;97_881;98_2651;99_3452&stattab=map
  • Last taxonomy: Algibacter alginicilyticus subclade
  • 16S sequence: JN620360
  • Sequence Identity:
  • Total samples: 288
  • soil counts: 10
  • aquatic counts: 275
  • animal counts: 3

Safety information

risk assessment

  • @ref: 24792
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

  • @ref: 24792
  • description: Pseudalgibacter alginicilyticus strain HZ22 16S ribosomal RNA gene, partial sequence
  • accession: JN620360
  • length: 1479
  • database: nuccore
  • NCBI tax ID: 1736674

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Pseudalgibacter alginicilyticus HZ22GCA_001310225completencbi1736674
66792Algibacter alginicilyticus strain HZ221736674.21completepatric1736674
66792Algibacter alginicilyticus HZ222654587648completeimg1736674

GC content

  • @ref: 24792
  • GC-content: 31.8
  • method: high performance liquid chromatography (HPLC)

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno97.941no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no94.05no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes78.048no
125438spore-formingspore-formingAbility to form endo- or exosporesno91.718no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno98.303no
125438motile2+flagellatedAbility to perform flagellated movementno95no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno95.8
125439BacteriaNetmotilityAbility to perform movementno55.2
125439BacteriaNetgram_stainReaction to gram-stainingnegative99.9
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe97.1

External links

@ref: 24792

culture collection no.: DSM 26350, CGMCC 1.11025, JCM 18496

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
24792Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-26350Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 26350)
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/
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