Micromonospora purpureochromogenes (DSM 43814, ATCC 27334, CBS 130.76)

Name: Micromonospora purpureochromogenes (DSM 43814, ATCC 27334, CBS 130.76)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7975

Type strain

Culture col. no. DSM 43814 ATCC 27334 CBS 130.76 IFO 14069 IMET 8304 15 more

NCBI tax ID(s) 47872

Special Collections DSMZ JCM JMRC

History DSMZ <- NRRL <- ATCC <- G.F. Gauze, INA JCM <-- KCC A-0233 <-- BKM A-614 <-- LIA 0744 <-- INA 472. JCM <-- VKM Ac-1326 <-- INA 166.

Links

Micromonospora purpureochromogenes DSM 43814 is a bacterium that was isolated from soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 38749

ATCC 27334,DSM 43814,IFO 14069,IMET 8304,JCM 3233,NRRL B-16079,VKM Ac-614,JCM 10141,VKM Ac-1326,CCRC 12627,NCIMB 12732,CBS13074,CBS 130.76,CECT 3290,NBRC 14069,BCRC 12627

@ref 20215

Last LPSN update 2026-05-29 08:26:46

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micromonosporales

Family Micromonosporaceae

Genus Micromonospora

Species Micromonospora purpureochromogenes

Full scientific name Micromonospora purpureochromogenes corrig. (Waksman and Curtis 1916) Luedemann 1971 (Approved Lists 1980)

Synonyms (3)

"Actinomyces purpureochromogenes"
Micromonospora brunnea
"Actinomyces purpeochromogenus"

BacDive ID	Other strains from **Micromonospora purpureochromogenes** (1)	Type strain
7976	M. purpureochromogenes DSM 43821, ATCC 27007, CBS 326.71, IFO 13324, ... (type strain)

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		90.5
125439		97.56	positive

Multimedia

@ref:	11287
multimedia content:	DSM_43814.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_43814.jpg
caption:	Medium 554 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
11287	N-Z-AMINE-MEDIUM (DSMZ Medium 554)		Medium recipe at MediaDive	Name: N-Z-AMINE-MEDIUM (DSMZ Medium 554) Composition: Starch 20.0 g/l Agar 20.0 g/l Glucose 10.0 g/l N-Z amine 5.0 g/l Yeast extract 5.0 g/l CaCO3 1.0 g/l Distilled water
11287	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)
11287	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.722

Spore formation

@ref	Spore formation	Confidence
125438		92.322

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type
11287	soil
67770	Soil

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
11287	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
67770	ASM1341018v1 assembly for Micromonospora purpureochromogenes DSM 43814	contig	GCA_013410185	47872.6	2857413125	47872	76.34

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Micromonospora purpureochromogenes ATCC 27334 16S-23S ribosomal RNA intergenic spacer	AY371891	355		47872
11287	M.brunnea 16S rRNA gene	X92605	1475		47872

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1341018v1 assembly for Micromonospora purpureochromogenes DSM 43814
BV-BRC: 47872.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.72	no
125439	gram_stain	BacteriaNetⓘ	positive	97.56	no
125439	motility	BacteriaNetⓘ	no	84.87	no
125439	spore_formation	BacteriaNetⓘ	yes	40.09	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Micromonospora purpureochromogenes strain DSM 43814
PATRIC: 47872.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.19	no
125438	anaerobic	anaerobicⓘ	no	94.87	no
125438	spore-forming	spore-formingⓘ	yes	92.32	no
125438	aerobic	aerobicⓘ	yes	85.98	no
125438	thermophilic	thermophileⓘ	no	94.50	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

References

#11287	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43814
#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 )
#20216	Curators of the JMRC: Jena Microbial Resource Collection (JMRC):
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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