Streptomyces sp. (DSM 41274, IMRU 3502, 69)

Name: Streptomyces sp. (DSM 41274, IMRU 3502, 69)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 15840

Type strain

Strain Designation 69

Culture col. no. DSM 41274 IMRU 3502 69

NCBI tax ID(s) 1931

Special Collections DSMZ

Links

69 is a mesophilic prokaryote that was isolated from foster.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 297767

DSM 41274

@ref 20215

Last LPSN update 2025-12-16 09:50:42

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Kitasatosporales

Family Streptomycetaceae

Genus Streptomyces

Full scientific name Streptomyces Waksman and Henrici 1943 (Approved Lists 1980)

Synonyms (10)

Streptoverticillium
"Microechinospora"
Carbonactinospora
Actinosporangium
Chainia
Kitasatoa
Actinopycnidium
Elytrosporangium
Actinacidiphila
Microellobosporia

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	positive	99.8
125439		91

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
10177	ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84)		Medium recipe at MediaDive	Name: ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) Composition: Agar 20.0 g/l Rolled oats 20.0 g/l ZnSO4 x 7 H2O 0.001 g/l MnCl2 x 4 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Distilled water
10177	GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)		Medium recipe at MediaDive	Name: 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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
10177	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	91.699
125439	obligate aerobe	98.4

Spore formation

@ref	Spore formation	Confidence
125438		91.979
125439		91.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
10177	foster	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM281340v1 assembly for Streptomyces sp. 69	contig	GCA_002813405	1827605.3	2740891887	1827605	2.26

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptomyces sp. 69
PATRIC: 1827605.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	91.90	no
125439	motility	BacteriaNetⓘ	no	91.00	no
125439	gram_stain	BacteriaNetⓘ	positive	99.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptomyces sp. 69
PATRIC: 1827605.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.11	no
125438	anaerobic	anaerobicⓘ	no	96.57	no
125438	spore-forming	spore-formingⓘ	yes	91.98	no
125438	aerobic	aerobicⓘ	yes	91.70	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

References

#10177	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41274
#20215	Parte, 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 DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

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