Lentzea atacamensis (DSM 45479, CGMCC 4.5536, NRRL B-24706)

Name: Lentzea atacamensis (DSM 45479, CGMCC 4.5536, NRRL B-24706)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13305

Type strain

Strain Designation C61

Culture col. no. DSM 45479 CGMCC 4.5536 NRRL B-24706 C61 JCM 17492

NCBI tax ID(s) 531938

Special Collections DSMZ JCM Literature strains

Links

Lentzea atacamensis C61 is an aerobe, mesophilic, Gram-positive prokaryote that was isolated from desert soil.

Gram-positive aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 398542

JCM 17492,DSM 45479

@ref 20215

Last LPSN update 2025-12-16 09:50:03

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Pseudonocardiales

Family Pseudonocardiaceae

Genus Lentzea

Species Lentzea atacamensis

Full scientific name Lentzea atacamensis (Okoro et al. 2010) Nouioui et al. 2018

Synonyms (3)

Lentzea deserti
Lechevalieria atacamensis
Lechevalieria deserti

Morphology

Cell morphology

@ref	Gram stain	Confidence
29271	positive
125439	positive	98.3
125438		90.5

Multimedia

@ref:	17320
multimedia content:	DSM_45479.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_45479.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17320	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
17320	positive	growth	28	mesophilic
29271	positive	growth	20-40
29271	positive	optimum	30	mesophilic
67770	positive	growth	28	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
29271	positive	optimum	7.5
29271	positive	growth	05-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29271	aerobe
125439	obligate aerobe	99

Observation

67770

Observationquinones: MK-9(H₄)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29271	22599 ChEBI	arabinose	+	carbon source
29271	17057 ChEBI	cellobiose	+	carbon source
29271	16947 ChEBI	citrate	+	carbon source
29271	4853 ChEBI	esculin	+	hydrolysis
29271	15792 ChEBI	malonate	+	carbon source
29271	17268 ChEBI	myo-inositol	+	carbon source
29271	16634 ChEBI	raffinose	+	carbon source
29271	30911 ChEBI	sorbitol	+	carbon source
29271	30031 ChEBI	succinate	+	carbon source
29271	27082 ChEBI	trehalose	+	carbon source
29271	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29271	catalase	+	1.11.1.6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Desert
#Environmental	#Terrestrial	#Soil
#Condition	#Xerophilic	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17320	desert soil	Atacama Desert, Salar de Atacama	Chile	CHL	Middle and South America
67770	Hyperarid soil from the Salar de Atacama region of the Atacama Desert		Chile	CHL	Middle and South America

Taxonmaps

69479

Global distribution of 16S sequence EU551684 (>99% sequence identity) for Lentzea from Microbeatlas

Aquatic Samples	2
Soil Samples	55
Animal Samples	4
Plant Samples	60
Total Samples	121

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17320	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	ASM326929v1 assembly for Lentzea atacamensis DSM 45479	scaffold	GCA_003269295	531938.3	2756170238	531938	71.09

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17320	Lechevalieria atacamensis strain C61 16S ribosomal RNA gene, partial sequence	EU551684	1470		531938

GC content

@ref	GC-content (mol%)	Method
67770	68.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lentzea atacamensis DSM 45479
NCBI: GCA_003269295

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	59.40	no
125439	motility	BacteriaNetⓘ	no	78.80	no
125439	gram_stain	BacteriaNetⓘ	positive	98.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lechevalieria atacamensis strain DSM 45479
PATRIC: 531938.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.67	no
125438	anaerobic	anaerobicⓘ	no	97.83	yes
125438	spore-forming	spore-formingⓘ	yes	81.34	no
125438	aerobic	aerobicⓘ	yes	89.81	yes
125438	thermophilic	thermophileⓘ	no	97.49	yes
125438	flagellated	motile2+ⓘ	no	90.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Proposal of Lentzea deserti (Okoro et al. 2010) Nouioui et al. 2018 as a later heterotypic synonym of Lentzea atacamensis (Okoro et al. 2010) Nouioui et al. 2018 and an emended description of Lentzea atacamensis.	Ping M, Yun-Lin Z, Jun L, Jian G, Zheng-Gang X.	PLoS One	10.1371/journal.pone.0246533	2021
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	Lechevalieria atacamensis sp. nov., Lechevalieria deserti sp. nov. and Lechevalieria roselyniae sp. nov., isolated from hyperarid soils.	Okoro CK, Bull AT, Mutreja A, Rong X, Huang Y, Goodfellow M	Int J Syst Evol Microbiol	10.1099/ijs.0.009985-0	2009

References

#17320	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45479
#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 )
#25688	IJSEM 296 2010 ( DOI 10.1099/ijs.0.009985-0 , PubMed 19651742 )
#29271	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 #25688
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 atacamensis (DSM 45479, CGMCC 4.5536, NRRL B-24706)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003269295

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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