Lentzea guizhouensis (DSM 102208, CGMCC 4.7203, KCTC 29677)

Name: Lentzea guizhouensis (DSM 102208, CGMCC 4.7203, KCTC 29677)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132427

Type strain

Culture col. no. DSM 102208 CGMCC 4.7203 KCTC 29677 DHS C013 JCM 33038

NCBI tax ID(s) 1586287

Special Collections DSMZ JCM KCTC

History DSMZ <- KCTC; KCTC 29677 JCM <-- CGMCC 4.7203 <-- C.-L. Cao et al.; Inst. of Geochem., CAS, China; DHS C013.

Links

Lentzea guizhouensis DSM 102208 is a bacterium that was isolated from limestone from a Karst area.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 404170

KCTC 29677,DSM 102208

@ref 20215

Last LPSN update 2026-05-29 08:37:51

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Pseudonocardiales

Family Pseudonocardiaceae

Genus Lentzea

Species Lentzea guizhouensis

Full scientific name Lentzea guizhouensis Cao et al. 2016

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	92.5
125439	99.585	positive
125438	90.349	positive
125439	96.803

Multimedia

@ref:	24216
multimedia content:	DSM_102208.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_102208.jpg
caption:	Medium 214 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24216	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)
24216	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	91.349
125439	obligate aerobe	98.182

Spore formation

@ref	Spore formation	Confidence
125439		92.248

Observation

67770

Observationquinones: MK-9(H₄)

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Geologic

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
24216	limestone from a Karst area	Guizhou Province, Puding Karst Ecosystem Research Station of the Chinese Academy of Sciences (26°09' -26°31' N, 105°27' -105°58' E)	China	CHN	Asia	26.15	105.45 26.15/105.45
67770	Limestone in karst area	Guizhou Province	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence KM597488 (>99% sequence identity) for Lentzea guizhouensis from Microbeatlas

Aquatic Samples	8
Soil Samples	183
Animal Samples	13
Plant Samples	36
Total Samples	240

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
24216	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM170102v1 assembly for Lentzea guizhouensis DHS C013	complete	GCA_001701025	1586287.3	2718218054	1586287	97.9

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
24216	Lentzea guizhouensis strain DHS C013 16S ribosomal RNA gene, partial sequence	KM597488	1497		1586287

GC content

@ref	GC-content (mol%)	Method
24216	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: ASM170102v1 assembly for Lentzea guizhouensis DHS C013
BV-BRC: 1586287.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.18	no
125439	motility	BacteriaNetⓘ	no	96.80	no
125439	gram_stain	BacteriaNetⓘ	positive	99.59	no
125439	spore_formation	BacteriaNetⓘ	yes	92.25	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lentzea sp. DHS C013
PATRIC: 1586287.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.35	no
125438	anaerobic	anaerobicⓘ	no	97.90	no
125438	spore-forming	spore-formingⓘ	yes	87.19	no
125438	thermophilic	thermophileⓘ	no	97.00	no
125438	aerobic	aerobicⓘ	yes	91.35	no
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Identification of Two Distinct Stereoselective Lysine 5-Hydroxylases by Genome Mining Based on Alazopeptin Biosynthetic Enzymes.	Kawai S, Moriga K, Nirdnoy W, Hara R, Ogawa J, Katsuyama Y, Ohnishi Y.	Chemistry	10.1002/chem.202404790	2025
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	Comparative Genomics and Metabolomics in the Genus Nocardia.	Mannle D, McKinnie SMK, Mantri SS, Steinke K, Lu Z, Moore BS, Ziemert N, Kaysser L.	mSystems	10.1128/msystems.00125-20	2020
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 guizhouensis sp. nov., a novel lithophilous actinobacterium isolated from limestone from the Karst area, Guizhou, China.	Cao CL, Zhou XQ, Qin S, Tao FX, Jiang JH, Lian B	Antonie Van Leeuwenhoek	10.1007/s10482-015-0589-x	2015
Phylogeny	Lentzea tibetensis sp. nov., a novel Actinobacterium with antimicrobial activity isolated from soil of the Qinghai-Tibet Plateau.	Huang J, Huang Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.004976	2021

References

#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 )
#24216	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102208
#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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About us

Lentzea guizhouensis (DSM 102208, CGMCC 4.7203, KCTC 29677)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001701025

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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