Lentzea atacamensis (DSM 45480, CGMCC 4.5535, NRRL B-24707)

Name: Lentzea atacamensis (DSM 45480, CGMCC 4.5535, NRRL B-24707)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13306

Type strain

Strain Designation C68

Culture col. no. DSM 45480 CGMCC 4.5535 NRRL B-24707 C68 JCM 17493

NCBI tax ID(s) 531938

Special Collections DSMZ JCM Literature strains

History DSMZ <- NRRL; NRRL B-24707 <- M. Goodfellow, Univ. Newcastle, Newcastle upon Tyne, UK; C68 JCM <-- CGMCC 4.5535 <-- M. Goodfellow C68.

Links

Lentzea atacamensis C68 is an aerobe, Gram-positive bacterium that was isolated from desert soil.

Gram-positive aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27859

JCM 17493

@ref 20215

Last LPSN update 2026-05-29 08:28:00

Domain Bacteria

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

BacDive ID	Other strains from **Lentzea atacamensis** (1)	Type strain
13305	L. atacamensis C61, DSM 45479, CGMCC 4.5536, NRRL B-24706, ... (type strain)

Morphology

Cell morphology

@ref	Gram stain	Confidence
29271	positive
125438		90.5
125439	positive	97.77
125439		91.316

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29271	positive	growth	20-40
29271	positive	optimum	30
67770	positive	growth	28

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
125438	aerobe	90.459
125439	obligate aerobe	97.841

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29271	NaCl	positive	growth	04-05 %

Observation

67770

Observationquinones: MK-9(H₄)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29271	16947 ChEBI	citrate	+	carbon source
29271	4853 ChEBI	esculin	+	hydrolysis
29271	17754 ChEBI	glycerol	+	carbon source
29271	18403 ChEBI	L-arabitol	+	carbon source
29271	16634 ChEBI	raffinose	+	carbon source
29271	26546 ChEBI	rhamnose	+	carbon source
29271	15963 ChEBI	ribitol	+	carbon source
29271	30911 ChEBI	sorbitol	+	carbon source
29271	30031 ChEBI	succinate	+	carbon source
29271	17151 ChEBI	xylitol	+	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
17321	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 EU551682 (>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
17321	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	ASM314886v1 assembly for Lentzea atacamensis DSM 45480	scaffold	GCA_003148865	531939.3	2756170278	531938	68.71

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17321	Lechevalieria deserti strain C68 16S ribosomal RNA gene, partial sequence	EU551682	1463		531939

GC content

@ref	GC-content (mol%)	Method
67770	68.8	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM314886v1 assembly for Lentzea atacamensis DSM 45480
NCBI: GCA_003148865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.84	no
125439	motility	BacteriaNetⓘ	no	91.32	no
125439	gram_stain	BacteriaNetⓘ	positive	97.77	no
125439	spore_formation	BacteriaNetⓘ	yes	54.81	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lechevalieria deserti strain DSM 45480
PATRIC: 531939.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.05	no
125438	anaerobic	anaerobicⓘ	no	97.44	yes
125438	spore-forming	spore-formingⓘ	yes	80.99	no
125438	aerobic	aerobicⓘ	yes	90.46	no
125438	thermophilic	thermophileⓘ	no	97.99	yes
125438	flagellated	motile2+ⓘ	no	90.50	yes

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	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

#17321	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45480
#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 45480, CGMCC 4.5535, NRRL B-24707)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Halophily

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_003148865

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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