Strain identifier

BacDive ID: 164998

Type strain: No

Species: Streptomyces noursei

Strain history: KCC S-0701 <-- H. Yonehara 8054-MC3.

NCBI tax ID(s): 1971 (species)

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

@ref: 67770

BacDive-ID: 164998

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

description: Streptomyces noursei JCM 4701 is a spore-forming, mesophilic bacterium that was isolated from Soil.

NCBI tax id

  • NCBI tax id: 1971
  • Matching level: species

strain history

  • @ref: 67770
  • history: KCC S-0701 <-- H. Yonehara 8054-MC3.

doi: 10.13145/bacdive164998.20250331.9.3

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 noursei
  • full scientific name: Streptomyces noursei Brown et al. 1953 (Approved Lists 1980)
  • synonyms

    • @ref: 20215
    • synonym: Streptomyces albulus

@ref: 67770

domain: Bacteria

phylum: Actinobacteria

class: Actinobacteria

order: Streptomycetales

family: Streptomycetaceae

genus: Streptomyces

species: Streptomyces noursei

full scientific name: Streptomyces noursei Brown et al. 1953

type strain: no

Morphology

cell morphology

@refgram stainconfidencemotility
125439positive97.9
12543990.8no

Culture and growth conditions

culture temp

  • @ref: 67770
  • growth: positive
  • type: growth
  • temperature: 28

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: obligate aerobe
  • confidence: 97.4

spore formation

@refspore formationconfidence
125438yes90.236
125439yes95.4

metabolite production

  • @ref: 67770
  • metabolite: nitraminoacetic acid
  • production: yes

Isolation, sampling and environmental information

isolation

  • @ref: 67770
  • sample type: Soil
  • geographic location: campus of the University of Tokyo, Tokyo
  • country: Japan
  • origin.country: JPN
  • continent: Asia

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Streptomyces noursei strain JCM 47011971.3wgspatric1971
67770Streptomyces noursei JCM 4701GCA_002891315scaffoldncbi1971

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes88.975no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no90.055no
125438spore-formingspore-formingAbility to form endo- or exosporesyes90.236no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes89.496no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno94.5no
125438motile2+flagellatedAbility to perform flagellated movementno86.6no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes95.4
125439BacteriaNetmotilityAbility to perform movementno90.8
125439BacteriaNetgram_stainReaction to gram-stainingpositive97.9
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe97.4

External links

@ref: 67770

culture collection no.: JCM 4701

straininfo link

  • @ref: 114360
  • straininfo: 64374

Reference

@idauthorstitledoi/url
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
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
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
114360Reimer, 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-ID64374.1
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