Strain identifier

BacDive ID: 133979

Type strain: Yes

Species: Myroides aquimaris

Strain Designation: SW105

Strain history: L. Song SW105.

NCBI tax ID(s): 1159016 (species)

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

@ref: 30989

BacDive-ID: 133979

keywords: genome sequence, 16S sequence, Bacteria, aerobe, Gram-negative, rod-shaped

description: Myroides aquimaris SW105 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from seawater.

NCBI tax id

  • NCBI tax id: 1159016
  • Matching level: species

strain history

  • @ref: 67770
  • history: L. Song SW105.

doi: 10.13145/bacdive133979.20230509.8.1

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacteroidota
  • domain: Bacteria
  • phylum: Bacteroidota
  • class: Flavobacteriia
  • order: Flavobacteriales
  • family: Flavobacteriaceae
  • genus: Myroides
  • species: Myroides aquimaris
  • full scientific name: Myroides aquimaris García-López et al. 2020
  • synonyms

    @refsynonym
    20215Flavobacterium marinum
    20215Paenimyroides aquimaris

@ref: 30989

domain: Bacteria

phylum: Bacteroidetes

class: Flavobacteriia

order: Flavobacteriales

family: Flavobacteriaceae

genus: Flavobacterium

species: Flavobacterium marinum

strain designation: SW105

type strain: yes

Morphology

cell morphology

@refgram staincell lengthcell widthcell shapemotilityconfidence
30989negative2.75 µm0.4 µmrod-shapedno
69480negative99.998

pigmentation

  • @ref: 30989
  • production: yes

Culture and growth conditions

culture temp

@refgrowthtypetemperaturerange
30989positivegrowth15-45
30989positiveoptimum35mesophilic
67770positivegrowth35mesophilic

culture pH

@refabilitytypepHPH range
30989positivegrowth5.5-8.5alkaliphile
30989positiveoptimum7.25

Physiology and metabolism

oxygen tolerance

  • @ref: 30989
  • oxygen tolerance: aerobe

spore formation

@refspore formationconfidence
30989no
69481no100
69480no99.993

halophily

@refsaltgrowthtested relationconcentration
30989NaClpositivegrowth0-5 %
30989NaClpositiveoptimum1.25 %

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
3098916449alanine+carbon source
3098922599arabinose+carbon source
3098935391aspartate+carbon source
3098917057cellobiose+carbon source
3098929987glutamate+carbon source
3098928087glycogen+carbon source
3098924996lactate+carbon source
3098917716lactose+carbon source
3098917306maltose+carbon source
3098929864mannitol+carbon source
3098937684mannose+carbon source
30989506227N-acetylglucosamine+carbon source
3098926271proline+carbon source
3098917822serine+carbon source
3098930911sorbitol+carbon source
3098927082trehalose+carbon source

enzymes

@refvalueactivityec
30989acid phosphatase+3.1.3.2
30989alkaline phosphatase+3.1.3.1
30989catalase+1.11.1.6
30989cytochrome oxidase+1.9.3.1

Isolation, sampling and environmental information

isolation

  • @ref: 30989
  • sample type: seawater

isolation source categories

  • Cat1: #Environmental
  • Cat2: #Aquatic
  • Cat3: #Marine

taxonmaps

  • @ref: 69479
  • File name: preview.99_152534.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_195;96_30851;97_39023;98_50748;99_152534&stattab=map
  • Last taxonomy: Flavobacterium marinum subclade
  • 16S sequence: JN867054
  • Sequence Identity:
  • Total samples: 308
  • soil counts: 111
  • aquatic counts: 80
  • animal counts: 103
  • plant counts: 14

Sequence information

16S sequences

  • @ref: 30989
  • description: Flavobacterium marinum strain SW105 16S ribosomal RNA gene, partial sequence
  • accession: JN867054
  • length: 1508
  • database: nuccore
  • NCBI tax ID: 1159016

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Flavobacterium marinum strain CGMCC 1.108251159016.3wgspatric1159016
66792Flavobacterium marinum CGMCC 1.108252596583585draftimg1159016
67770Paenimyroides aquimaris CGMCC 1.10825GCA_900108395scaffoldncbi1159016

GC content

  • @ref: 30989
  • GC-content: 36.2

Genome-based predictions

predictions

traitpredictionconfidencetraining_data
spore-formingno100no
motileno91.625yes
gram-positiveno98.3yes
anaerobicno99.21yes
aerobicyes87.649yes
halophileno92.076yes
spore-formingno95.778yes
flagellatedno96.009yes
thermophileno98.922yes
glucose-utilyes77.586no
glucose-fermentno93.516no

External links

@ref: 30989

culture collection no.: CGMCC 1.10825, JCM 18132

Reference

@idauthorstitledoi/urlID_cross_referencepubmedjournal
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
30989Barberan A, Caceres Velazquez H, Jones S, Fierer N.Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information10.1128/mSphere.00237-172731928776041
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/gkaa102533211880Nucleic Acids Res. 49: D498-D508 2020
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/
69480Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg OvermannPredictions based on genome sequence made in the Diaspora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)https://diaspora-project.de/progress.html#genomes
69481Xiao-Yin To, René Mreches, Martin Binder, Alice C. McHardy, Philipp C. MünchPredictions based on the model GenomeNet Sporulation v. 110.21203/rs.3.rs-2527258/v1