Tsukamurella paurometabola (DSM 43246, ATCC 25938, DSM 43344)

Name: Tsukamurella paurometabola (DSM 43246, ATCC 25938, DSM 43344)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17098

Type strain

Strain Designation IMK-9

Culture col. no. DSM 43246 ATCC 25938 DSM 43344 IMET 7373 JCM 3226 10 more

NCBI tax ID(s) 2061 42777

Special Collections DSMZ JCM

Links

Tsukamurella paurometabola IMK-9 is a mesophilic prokaryote that was isolated from sputum.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 92787

ATCC 25938,NCTC 10741,DSM 43246,DSM 43344,JCM 3226,CCM 2630,CCRC 13723,NCIMB 13124,VKM Ac-1228,BCRC 13723,NRRL B-16960,IMET 7373

@ref 20215

Last LPSN update 2025-12-16 09:51:00

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Tsukamurellaceae

Genus Tsukamurella

Species Tsukamurella paurometabola

Full scientific name Tsukamurella paurometabola corrig. (Steinhaus 1941) Collins et al. 1988

Synonyms (3)

Rhodococcus aurantiacus
Tsukamurella paurometabolum
Corynebacterium paurometabolum

BacDive ID	Other strains from **Tsukamurella paurometabola** (6)	Type strain
17087	T. paurometabola DSM 20162, ATCC 8368, CECT 3055, CIP 100753, ... (type strain)
17088	T. paurometabola 3477, M 291, DSM 43345
17089	T. paurometabola NIV, N_I_V, DSM 43600
17090	T. paurometabola R 456, DSM 44119, IMRU 1520
17091	T. paurometabola Ridell GB 460, DSM 46042, IMET 7432, Tsukamura ...
17092	T. paurometabola 8128, Gdf M296, M296, DSM 46065, IMET 7476, ...

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	98.9
125438	positive	90.351

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
10902	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water
10902	GLYCEROL-SOIL MEDIUM (DSMZ Medium 80)		Medium recipe at MediaDive	Name: GLYCEROL-SOIL MEDIUM (DSMZ Medium 80) Composition: Glycerol 20.0 g/l Agar 15.0 g/l Peptone 5.0 g/l Beef extract 3.0 g/l Soil extract Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
10902	positive	growth	37	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.613
125439	obligate aerobe	96.1

Observation

67770

Observationquinones: MK-9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Fluids	#Sputum

Isolation

@ref	Sample type
10902	sputum
67770	Sputa

Taxonmaps

69479

Global distribution of 16S sequence Z36933 (>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

Risk assessment

@ref	Biosafety level	Biosafety level comment
10902	2	Risk group (German classification) According to TRBA 466

Phages

@ref	Name	Strain number
124042	Tsukamurella phage Ts1	DSM 43246

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	NCTC10741_2 assembly for Tsukamurella paurometabola NCTC10741	complete	GCA_900631615	2061.5	2867017614	2061	99.34

Genome browser: GCA_900631615

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Tsukamurella inchonensis strain ATCC25938 16S ribosomal RNA gene, complete sequence	AF283282	1512	42777
20218	Tsukamurella paurometabolum (Rhodococcus aurantiacus) partial 16S rRNA	X53207	1342	2061
20218	T.paurometabolum gene for 16S ribosomal RNA	Z36933	1476	2061

GC content

@ref	GC-content (mol%)	Method
67770	72.5	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Tsukamurella paurometabola NCTC10741
NCBI: GCA_900631615

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	54.20	no
125439	motility	BacteriaNetⓘ	no	79.80	no
125439	gram_stain	BacteriaNetⓘ	positive	98.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tsukamurella paurometabola NCTC10741
NCBI: GCA_900631615.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.35	no
125438	anaerobic	anaerobicⓘ	no	97.78	no
125438	aerobic	aerobicⓘ	yes	90.61	no
125438	spore-forming	spore-formingⓘ	no	56.12	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Title	Authors	Journal	DOI	Year
Catheter-related bloodstream infection caused by Tsukamurella tyrosinosolvens identified by secA1sequencing in an immunocompromised child: a case report.	Mizuno S, Tsukamura Y, Nishio S, Ishida T, Hasegawa D, Kosaka Y, Ooka T, Nishi J, Kasai M.	Ann Clin Microbiol Antimicrob	10.1186/s12941-023-00651-6	2023
Three of a Kind: Genetically Similar Tsukamurella Phages TIN2, TIN3, and TIN4.	Dyson ZA, Tucci J, Seviour RJ, Petrovski S.	Appl Environ Microbiol	10.1128/aem.01145-15	2015
Catheter-related bloodstream infection by Tsukamurella inchonensis in an immunocompromised patient.	Takebe I, Sawabe E, Ohkusu K, Tojo N, Tohda S.	J Clin Microbiol	10.1128/jcm.00421-14	2014
Fatty acid characterization of rapidly growing pathogenic aerobic actinomycetes as a means of identification.	McNabb A, Shuttleworth R, Behme R, Colby WD.	J Clin Microbiol	10.1128/jcm.35.6.1361-1368.1997	1997
Sequence-based identification of aerobic actinomycetes.	Patel JB, Wallace RJ, Brown-Elliott BA, Taylor T, Imperatrice C, Leonard DG, Wilson RW, Mann L, Jost KC, Nachamkin I.	J Clin Microbiol	10.1128/jcm.42.6.2530-2540.2004	2004
Lung infection caused by Gordona aurantiaca (Rhodococcus aurantiacus).	Tsukamura M, Kawakami K.	J Clin Microbiol	10.1128/jcm.16.4.604-607.1982	1982
The medically important aerobic actinomycetes: epidemiology and microbiology.	McNeil MM, Brown JM.	Clin Microbiol Rev	10.1128/cmr.7.3.357	1994
Septic pulmonary emboli caused by Tsukamurella inchonensis: A case report.	Gotoh K, Mayura IPB, Hagiya H, Obata K, Ogawa T, Iio K, Fujimori T, Otsuka F, Matsushita O	J Infect Chemother	10.1016/j.jiac.2020.09.024	2020
Tsukamurella strandjordae sp. nov., a proposed new species causing sepsis.	Kattar MM, Cookson BT, Carlson LD, Stiglich SK, Schwartz MA, Nguyen TT, Daza R, Wallis CK, Yarfitz SL, Coyle MB	J Clin Microbiol	10.1128/JCM.39.4.1467-1476.2001	2001

References

#10902	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43246
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#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 .
#124042	Johannes Wittmann, Clara Rolland, Lorenz Reimer, Joaquim Sardà: PhageDive .
#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 paurometabola (DSM 43246, ATCC 25938, DSM 43344)

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

Phages

Sequence information

Genome sequences

Genome browser: GCA_900631615

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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