Lentzea albidocapillata subsp. violacea (DSM 44796, IMSNU 50388, KCTC 9948)

Name: Lentzea albidocapillata subsp. violacea (DSM 44796, IMSNU 50388, KCTC 9948)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13313

Type strain

Strain Designation LM 036

Culture col. no. DSM 44796 IMSNU 50388 KCTC 9948 LM 036 CGMCC 4.2093 3 more

NCBI tax ID(s) 128104

Special Collections DSMZ JCM KCTC

History <- KCTC <- J. S. Lee <- J. Chun S.-O. Kang LM 036. <- J. Chun, SNU

Links

Lentzea albidocapillata subsp. violacea LM 036 is an aerobe, Gram-positive bacterium that was isolated from soil from gold mine cave.

Gram-positive aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 88654

JCM 10975,KCTC 9948,DSM 44796,CGMCC 4.2093

@ref 20215

Last LPSN update 2026-02-09 11:21:06

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Pseudonocardiales

Family Pseudonocardiaceae

Genus Lentzea

Species Lentzea albidocapillata subsp. violacea

Full scientific name Lentzea albidocapillata subsp. violacea (Lee et al. 2000) Nouioui et al. 2018

Synonyms (2)

Lentzea violacea
Saccharothrix violacea

Morphology

Cell morphology

@ref	Confidence	Gram stain
67771		positive
125438	92.1
125439	99.7	positive
125439	91

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
11983	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
11983	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

Culture temp

@ref	Growth	Type	Temperature (°C)
11983	positive	growth	28
67770	positive	growth	28
67771	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
67771	aerobe
125438	aerobe	92.16
125439	obligate aerobe	98.1

Observation

@ref	Observation
67770	quinones: MK-9(H₄), MK-9(H₂), MK-9(H₆)
67771	quinones: MK-9(H4)

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Other	#Mine
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
11983	soil from gold mine cave	Korea, Kongju	Republic of Korea	KOR	Asia
67770	Soil at a gold mine cave	Kongju	Republic of Korea	KOR	Asia
67771	From soil from gold mine cave	Kongju	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence AJ242633 (>99% sequence identity) for Lentzea from Microbeatlas

Aquatic Samples	15
Soil Samples	231
Animal Samples	10
Plant Samples	33
Total Samples	289

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
11983	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	IMG-taxon 2619619033 annotated assembly for Lentzea albidocapillata subsp. violacea DSM 44796	scaffold	GCA_900100275	128104.3	2619619033	128104	66.88

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
11983	Saccharothrix violacea 16S rRNA gene (strain LM 036T)	AJ242633	1508		128104

GC content

@ref	GC-content (mol%)	Method
11983	69.6
67770	69.6	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lentzea albidocapillata subsp. violacea DSM 44796
NCBI: GCA_900100275

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	81.40	no
125439	motility	BacteriaNetⓘ	no	91.00	no
125439	gram_stain	BacteriaNetⓘ	positive	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lentzea violacea strain DSM 44796
PATRIC: 128104.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.75	yes
125438	anaerobic	anaerobicⓘ	no	97.93	yes
125438	spore-forming	spore-formingⓘ	yes	87.41	no
125438	aerobic	aerobicⓘ	yes	92.16	no
125438	thermophilic	thermophileⓘ	no	97.50	no
125438	flagellated	motile2+ⓘ	no	92.10	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Biosynthetic novelty index reveals the metabolic potential of rare actinobacteria isolated from highly oligotrophic sediments.	Gonzalez-Salazar LA, Quezada M, Rodriguez-Orduna L, Ramos-Aboites H, Capon RJ, Souza-Saldivar V, Barona-Gomez F, Licona-Cassani C.	Microb Genom	10.1099/mgen.0.000921	2023
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
Phylogeny	Lentzea indica sp. nov., a novel actinobacteria isolated from Indian Himalayan-soil.	Maiti PK, Mandal S	Antonie Van Leeuwenhoek	10.1007/s10482-020-01449-8	2020
Phylogeny	Lentzea soli sp. nov., an actinomycete isolated from soil.	Li D, Zheng W, Zhao J, Han L, Zhao X, Jiang H, Wang X, Xiang W	Int J Syst Evol Microbiol	10.1099/ijsem.0.002698	2018
Phylogeny	Saccharothrix violacea sp. nov., isolated from a gold mine cave, and Saccharothrix albidocapillata comb. nov.	Lee SD, Kim ES, Roe JH, Kim J, Kang SO, Hah YC	Int J Syst Evol Microbiol	10.1099/00207713-50-3-1315	2000

References

#11983	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44796
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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Lentzea albidocapillata subsp. violacea (DSM 44796, IMSNU 50388, KCTC 9948)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900100275

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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