Streptomyces olivoverticillatus (DSM 40250, ATCC 25480, CBS 890.69)

Name: Streptomyces olivoverticillatus (DSM 40250, ATCC 25480, CBS 890.69)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 16171

Type strain

Culture col. no. DSM 40250 ATCC 25480 CBS 890.69 ETH 28537 IFO 13068 21 more

NCBI tax ID(s) 66427

Special Collections DSMZ JCM KCTC

Links

Streptomyces olivoverticillatus DSM 40250 is a mesophilic prokaryote that produces antibiotic compounds and was isolated from soil.

antibiotic compound production mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 389273

MTCC 333,ATCC 25480,DSM 40250,NRRL B-1994,IFO 13068,JCM 4100,JCM 4501,CCRC 13610,IFO 15273,IFO 3842,IFO 3929,VKM Ac-890,NCIMB 9714,CBS 890.69,CECT 3266,KCTC 9871,NBRC 13068,NBRC 15273,NBRC 3842,NBRC 3929,BCRC 13610,NRRL ISP-5250,NCIB 97148,NCIMB 97148,CGMCC 4.1980

@ref 20215

Last LPSN update 2025-12-16 09:50:47

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Kitasatosporales

Family Streptomycetaceae

Genus Streptomyces

Species Streptomyces olivoverticillatus

Full scientific name Streptomyces olivoverticillatus (Shinobu 1956) Witt and Stackebrandt 1991

Synonyms (5)

Streptomyces viridiflavus
Streptomyces viridoflavum
Streptoverticillium viridoflavum
"Streptomyces olivoverticillatus"
Streptoverticillium olivoverticillatum

BacDive ID	Other strains from **Streptomyces olivoverticillatus** (1)	Type strain
16170	S. olivoverticillatus DSM 40237, ATCC 12631, CBS 652.72, ETH 14323, ...

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.5
125439		90.3
125438	positive	90.485

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
9405	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
9405	positive	growth	28	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.317
125439	obligate aerobe	98.9

Spore formation

@ref	Spore formation	Confidence
125439		95
125438		93.152

Compound production

9405

Compoundtrichomycin

Metabolite production

@ref	Chebi-ID	Metabolite	Production
67770	35022 ChEBI	trichomycin

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
9405	soil	Japan	JPN	Asia
67770	Soil	Japan	JPN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
9405	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1420355v1 assembly for Streptomyces olivoverticillatus CECT 3266	scaffold	GCA_014203555	66427.3	2863271063	66427	71.4
124043	ASM3953570v1 assembly for Streptomyces olivoverticillatus JCM 4100	contig	GCA_039535705			66427

Genome browser: GCA_014203555

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Streptomyces olivoverticillatus gene for 16S rRNA, partial sequence, strain: NBRC 15273	AB184636	1468	66427
20218	Streptomyces olivoverticillatus gene for 16S rRNA, partial sequence, strain: NBRC 3929	AB184812	1449	66427
20218	Streptomyces olivoverticillatus strain NRRL B-1994T 16S ribosomal RNA gene, partial sequence	DQ442534	1492	66427
124043	Streptomyces olivoverticillatus strain JCM 4100 16S ribosomal RNA gene, partial sequence.	MT760481	1320	66427

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptomyces olivoverticillatus CECT 3266
NCBI: GCA_014203555

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	95.00	no
125439	motility	BacteriaNetⓘ	no	90.30	no
125439	gram_stain	BacteriaNetⓘ	positive	99.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptomyces olivoverticillatus CECT 3266
NCBI: GCA_014203555.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.49	no
125438	anaerobic	anaerobicⓘ	no	98.33	no
125438	aerobic	aerobicⓘ	yes	90.32	no
125438	spore-forming	spore-formingⓘ	yes	93.15	no
125438	thermophilic	thermophileⓘ	no	94.90	yes
125438	flagellated	motile2+ⓘ	no	88.10	no

Literature

Title	Authors	Journal	DOI	Year
Discovery of the Azaserine Biosynthetic Pathway Uncovers a Biological Route for alpha-Diazoester Production.	Van Cura D, Ng TL, Huang J, Hager H, Hartwig JF, Keasling JD, Balskus EP.	Angew Chem Int Ed Engl	10.1002/anie.202304646	2023
Bionanofactory for green synthesis of collagen nanoparticles, characterization, optimization, in-vitro and in-vivo anticancer activities.	El-Sawah AA, El-Naggar NE, Eldegla HE, Soliman HM.	Sci Rep	10.1038/s41598-024-56064-8	2024
Actinobacteria associated with the marine sponges Cinachyra sp., Petrosia sp., and Ulosa sp. and their culturability.	Khan ST, Takagi M, Shin-ya K.	Microbes Environ	10.1264/jsme2.me11270	2012

References

#9405	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 40250
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )

Rate our new design

Content

About us

Streptomyces olivoverticillatus (DSM 40250, ATCC 25480, CBS 890.69)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Compound production

Metabolite production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014203555

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media