Strain identifier

BacDive ID: 15468

Type strain: Yes

Species: Streptomyces phaeofaciens

Strain history: KCC S-0125 <-- Y. Okami T-23 (NIHJ 226).

NCBI tax ID(s): 1306182 (strain), 68254 (species)

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General

@ref: 9287

BacDive-ID: 15468

DSM-Number: 40367

keywords: genome sequence, 16S sequence, Bacteria, spore-forming, mesophilic

description: Streptomyces phaeofaciens DSM 40367 is a spore-forming, mesophilic bacterium that was isolated from soil.

NCBI tax id

NCBI tax idMatching level
68254species
1306182strain

strain history

@refhistory
9287<- E.B. Shirling, ISP <- CBS
67770KCC S-0125 <-- Y. Okami T-23 (NIHJ 226).

doi: 10.13145/bacdive15468.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/actinomycetota
  • domain: Bacteria
  • phylum: Actinomycetota
  • class: Actinomycetes
  • order: Kitasatosporales
  • family: Streptomycetaceae
  • genus: Streptomyces
  • species: Streptomyces phaeofaciens
  • full scientific name: Streptomyces phaeofaciens Maeda et al. 1952 (Approved Lists 1980)

@ref: 9287

domain: Bacteria

phylum: Actinobacteria

class: Actinobacteria

order: Actinomycetales

family: Streptomycetaceae

genus: Streptomyces

species: Streptomyces phaeofaciens

full scientific name: Streptomyces phaeofaciens Maeda et al. 1952

type strain: yes

Morphology

cell morphology

@refgram stainconfidencemotility
125439positive99.8
12543991.2no

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
9287GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)yeshttps://mediadive.dsmz.de/medium/65Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water
9287ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84)yeshttps://www.dsmz.de/microorganisms/medium/pdf/DSMZ_Medium84.pdf

culture temp

@refgrowthtypetemperature
9287positivegrowth28
67770positivegrowth28

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: obligate aerobe
  • confidence: 98.8

spore formation

  • @ref: 125439
  • spore formation: yes
  • confidence: 93

compound production

@refcompound
9287phaeofacin (anti-fungal)
67770Phaeofacin

Isolation, sampling and environmental information

isolation

  • @ref: 9287
  • sample type: soil

isolation source categories

  • Cat1: #Environmental
  • Cat2: #Terrestrial
  • Cat3: #Soil

Safety information

risk assessment

  • @ref: 9287
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

16S sequences

@refdescriptionaccessionlengthdatabaseNCBI tax ID
20218Streptomyces kishiwadensis strain CGMCC 4.1984 16S ribosomal RNA gene, partial sequenceHQ2444621387nuccore67310
20218Streptomyces phaeofaciens gene for 16S rRNA, partial sequenceAB122721564nuccore1306182
20218Streptomyces phaeofaciens gene for 16S ribosomal RNA, partial sequence, strain: JCM 4814D44381120nuccore1306182
20218Streptomyces phaeofaciens gene for 16S rRNA, partial sequence, strain: NBRC 13372AB1843601476nuccore1306182
20218Streptomyces phaeofaciens strain NRRL B-1516T 16S ribosomal RNA gene, partial sequenceDQ4425391413nuccore1306182

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Streptomyces phaeofaciens JCM 4125GCA_014648915scaffoldncbi68254
66792Streptomyces phaeofaciens JCM 4814GCA_001315485contigncbi1306182
66792Streptomyces phaeofaciens JCM 48141306182.6wgspatric1306182
66792Streptomyces phaeofaciens strain JCM 412568254.3wgspatric68254
66792Streptomyces phaeofaciens JCM 48142734481990draftimg1306182

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes80.658no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no94.541no
125438spore-formingspore-formingAbility to form endo- or exosporesyes73.193no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes84.968no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno90.107yes
125438motile2+flagellatedAbility to perform flagellated movementno89.5no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes93
125439BacteriaNetmotilityAbility to perform movementno91.2
125439BacteriaNetgram_stainReaction to gram-stainingpositive99.8
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe98.8

External links

@ref: 9287

culture collection no.: DSM 40367, ATCC 15034, CBS 426.64, CBS 637.72, IFO 13372, ISP 5367, JCM 4125, JCM 4814, NBRC 13372, NRRL B-1516, RIA 1333, RIA 753, BCRC 16223, CBS 673.72, CGMCC 4.1984, IFM 1177, VKM Ac-1865

straininfo link

  • @ref: 84555
  • straininfo: 45576

Reference

@idauthorscataloguedoi/urltitlejournalpubmed
9287Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 40367)https://www.dsmz.de/collection/catalogue/details/culture/DSM-40367
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)
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
84555Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID45576.1StrainInfo: A central database for resolving microbial strain identifiers
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