Actinoplanes toevensis (DSM 45573, NBRC 105298, MN07-A0368)

Name: Actinoplanes toevensis (DSM 45573, NBRC 105298, MN07-A0368)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7845

Type strain

Strain Designation MN07-A0368

Culture col. no. DSM 45573 NBRC 105298 MN07-A0368 VTCC D9-11

NCBI tax ID(s) 571911

Special Collections DSMZ Literature strains

History <- NBRC <- I. Ara(NITE) and B. Tsetseg(Mongolian Acad. Sci.); MN07-A0368

Links

Actinoplanes toevensis MN07-A0368 is an aerobe, spore-forming, Gram-positive bacterium that was isolated from soil.

spore-forming Gram-positive aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 400028

NBRC 105298,DSM 45573

@ref 20215

Last LPSN update 2026-02-09 11:19:34

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micromonosporales

Family Micromonosporaceae

Genus Actinoplanes

Species Actinoplanes toevensis

Full scientific name Actinoplanes toevensis Ara et al. 2010

Synonyms (1)

Paractinoplanes toevensis

Morphology

Cell morphology

@ref	Gram stain	Confidence
29270	positive
125439	positive	99.7

Pigmentation

29270

Productionyes

Multimedia

@ref:	17665
multimedia content:	DSM_45573.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_45573.jpg
caption:	Medium 65 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17665	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
17665	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17665	positive	growth	28
29270	positive	growth	25-30
29270	positive	optimum	27.5

Culture pH

@ref	Ability	Type	PH	PH range
29270	positive	growth	06-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29270	aerobe
125438	aerobe	90.039
125439	obligate aerobe	99.1

Spore formation

29270

Spore formationyes

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29270	NaCl	positive	growth	<2 %

Enzymes

@ref	Value	Activity	Ec
29270	acid phosphatase	+	3.1.3.2
29270	alkaline phosphatase	+	3.1.3.1
29270	catalase	+	1.11.1.6
29270	gelatinase	+
29270	pyrazinamidase	+	3.5.1.B15
29270	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17665	soil	Terelj National Park, Töv Province	Mongolia	MNG	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17665	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	ASM1833269v1 assembly for Paractinoplanes toevensis NBRC 105298	contig	GCA_018332695	571911.3	3002538628	571911	18.29

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17665	Actinoplanes toevensis gene for 16S ribosomal RNA, partial sequence	AB468943	1458		571911

GC content

17665

GC-content (mol%)70.6

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Actinoplanes toevensis NBRC 105298
NCBI: GCA_018332695

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	79.90	no
125439	motility	BacteriaNetⓘ	no	85.70	no
125439	gram_stain	BacteriaNetⓘ	positive	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Actinoplanes toevensis strain NBRC 105298
PATRIC: 571911.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.37	no
125438	anaerobic	anaerobicⓘ	no	93.09	yes
125438	spore-forming	spore-formingⓘ	yes	88.23	yes
125438	aerobic	aerobicⓘ	yes	90.04	yes
125438	thermophilic	thermophileⓘ	no	94.50	yes
125438	flagellated	motile2+ⓘ	no	62.83	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Novel putative polyethylene terephthalate (PET) plastic degrading enzymes from the environmental metagenome.	Karunatillaka I, Jaroszewski L, Godzik A.	Proteins	10.1002/prot.26245	2022
Phylogeny	Actinoplanes rhizophilus sp. nov., an actinomycete isolated from the rhizosphere of Sansevieria trifasciata Prain.	He H, Xing J, Liu C, Li C, Ma Z, Li J, Xiang W, Wang X	Int J Syst Evol Microbiol	10.1099/ijsem.0.000646	2015
Phylogeny	Actinoplanes toevensis sp. nov. and Actinoplanes tereljensis sp. nov., isolated from Mongolian soil.	Ara I, Yamamura H, Tsetseg B, Daram D, Ando K	Int J Syst Evol Microbiol	10.1099/ijs.0.009944-0	2009

References

#17665	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45573
#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 )
#25687	IJSEM 919 2010 ( DOI 10.1099/ijs.0.009944-0 , PubMed 19661505 )
#29270	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25687
#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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Actinoplanes toevensis (DSM 45573, NBRC 105298, MN07-A0368)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_018332695

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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