Tsukamurella sputi (DSM 109106, JCM 33387)

Name: Tsukamurella sputi (DSM 109106, JCM 33387)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164539

Type strain

Culture col. no. DSM 109106 JCM 33387

NCBI tax ID(s) 2591848

Special Collections DSMZ JCM

History JCM <-- J. L. L. Teng; Dept. of Microbiol., Univ. of Hong Kong, China; HKU70.

Links

Tsukamurella sputi JCM 33387 is a bacterium that was isolated from Sputum of a patient with respiratory infection in Hong Kong.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 133527

JCM 33387

@ref 20215

Last LPSN update 2026-05-29 08:45:26

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Tsukamurellaceae

Genus Tsukamurella

Species Tsukamurella sputi

Full scientific name Tsukamurella sputi Teng et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125438	positive	90.978
125438		92.6

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.114
125438	aerobe	91.828

Observation

67770

Observationquinones: MK-9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
67770	Sputum of a patient with respiratory infection in Hong Kong	Homo sapiens	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence MK583682 (>99% sequence identity) for Tsukamurella from Microbeatlas

Aquatic Samples	2978
Soil Samples	3431
Animal Samples	5160
Plant Samples	790
Total Samples	12359

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM785844v1 assembly for Tsukamurella sputi HKU70	contig	GCA_007858445	2591848.3	2894447496	2591848	24.1

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Tsukamurella sputi 16S ribosomal RNA gene, partial sequence	MK583682	1407		2591848

GC content

@ref	GC-content (mol%)	Method
67770	69.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM785844v1 assembly for Tsukamurella sputi HKU70
NCBI: GCA_007858445

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	positive	89.78	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.11	no
125439	motility	BacteriaNetⓘ	no	77.86	no
125439	spore_formation	BacteriaNetⓘ	no	86.27	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tsukamurella sputi HKU70
NCBI: GCA_007858445.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.98	no
125438	anaerobic	anaerobicⓘ	no	98.28	no
125438	aerobic	aerobicⓘ	yes	91.83	no
125438	spore-forming	spore-formingⓘ	no	56.91	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	no	92.60	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Tsukamurella asaccharolytica sp. nov., Tsukamurella conjunctivitidis sp. nov. and Tsukamurella sputi sp. nov., isolated from patients with bacteraemia, conjunctivitis and respiratory infection in Hong Kong.	Teng JLL, Fong JYH, Fok KMN, Lee HH, Chiu TH, Tang Y, Ngan AHY, Wong SSY, Que TL, Lau SKP, Woo PCY	Int J Syst Evol Microbiol	10.1099/ijsem.0.003861	2020

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 )
#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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Tsukamurella sputi (DSM 109106, JCM 33387)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_007858445

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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