Mycobacterium seoulense (DSM 44998, CIP 109583, KCTC 19146)

Name: Mycobacterium seoulense (DSM 44998, CIP 109583, KCTC 19146)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8537

Type strain

Strain Designation 03-19

Culture col. no. DSM 44998 CIP 109583 KCTC 19146 03-19 JCM 16018

NCBI tax ID(s) 386911

Special Collections DSMZ JCM KCTC CIP Literature strains

History DSMZ <- H.-S. Mun; 03-19 JCM <-- KCTC 19146 <-- B.-J. Kim 03-19. KCTC <- BJ Kim, Seoul Natl. Univ. CIP <- 2007, DSMZ <- H. S. Mun, Seoul Univ., Seoul, Korea: strain 03-19

Links

Mycobacterium seoulense 03-19 is an aerobe, rod-shaped bacterium that was isolated from sputum.

rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 297263

DSM 44998,KCTC 19146,JCM 16018,CIP 109583

@ref 20215

Last LPSN update 2026-05-29 08:26:53

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium seoulense

Full scientific name Mycobacterium seoulense Mun et al. 2007

Morphology

Cell morphology

@ref	Gram stain	Confidence	Cell shape
31977			rod-shaped
67771	positive
125438	positive	90.558
125439	positive	91.157

Pigmentation

31977

Productionyes

Multimedia

@ref:	12230
multimedia content:	DSM_44998.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_44998.jpg
caption:	Medium 645 37°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
12230	MIDDLEBROOK MEDIUM (DSMZ Medium 645)		Medium recipe at MediaDive	Name: MIDDLEBROOK MEDIUM (DSMZ Medium 645) Composition: Bacto Middlebrook 7H10 agar 20.9945 g/l Glycerol Distilled water
122562	CIP Medium 55		Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
12230	positive	growth	37
31977	positive	growth	25-37
31977	positive	optimum	37
67770	positive	growth	37
67771	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
67771	aerobe
125439	obligate aerobe	99.261

Spore formation

31977

Spore formationno

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31977	17632 ChEBI	nitrate	+	reduction

Enzymes

@ref	Value	Activity	Ec
31977	catalase	+	1.11.1.6
31977	pyrazinamidase	+	3.5.1.B15

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Fluids	#Sputum

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
12230	sputum		Seoul	Republic of Korea	KOR	Asia
67770	Sputum of a 52-year-old female with symptomatic pulmonary infection	Homo sapiens	Seoul	Republic of Korea	KOR	Asia
67771	From sputum			Republic of Korea	KOR	Asia
122562	Human, Lung	Homo sapiens	Seoul	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence DQ536403 (>99% sequence identity) for Mycobacterium from Microbeatlas

Aquatic Samples	382
Soil Samples	881
Animal Samples	203
Plant Samples	54
Total Samples	1520

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
12230	yes, in single cases	1	Risk group (German classification) According to TRBA 466
122562		1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1073159v1 assembly for Mycobacterium seoulense JCM 16018	complete	GCA_010731595	386911.11	8110565755	386911	97.72
66792	ASM2582335v1 assembly for Mycobacterium seoulense DSM 44998	scaffold	GCA_025823355	386911.13	8115558477	386911	75.44

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Mycobacterium seoulense strain 03-19 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence	FJ042511	438	386911
20218	Mycobacterium seoulense strain DSM 44998 16S ribosomal RNA gene, partial sequence	EU191909	468	386911
31977	Mycobacterium seoulense strain 03-19 16S ribosomal RNA gene, partial sequence	DQ536403	1522	386911

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1073159v1 assembly for Mycobacterium seoulense JCM 16018
BV-BRC: 386911.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.26	no
125439	gram_stain	BacteriaNetⓘ	positive	91.16	no
125439	motility	BacteriaNetⓘ	no	86.81	no
125439	spore_formation	BacteriaNetⓘ	no	68.95	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium seoulense JCM 16018
NCBI: GCA_010731595.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.56	no
125438	anaerobic	anaerobicⓘ	no	93.61	yes
125438	aerobic	aerobicⓘ	yes	77.98	yes
125438	spore-forming	spore-formingⓘ	no	61.95	no
125438	thermophilic	thermophileⓘ	no	91.80	no
125438	flagellated	motile2+ⓘ	no	86.94	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Resistance phenotypes and genomic features of Mycobacterium seoulense isolates.	Zhao J, Shen X, Jin L, Ji S, Pan X.	Front Cell Infect Microbiol	10.3389/fcimb.2025.1553591	2025
Phylogeny	Microbiological features and clinical relevance of new species of the genus Mycobacterium.	Tortoli E.	Clin Microbiol Rev	10.1128/cmr.00035-14	2014
	The Presence of esat-6 and cfp10 and Other Gene Orthologs of the RD 1 Region in Non-Tuberculous Mycobacteria, Mycolicibacteria, Mycobacteroides and Mycolicibacter as Possible Impediments for the Diagnosis of (Animal) Tuberculosis	Gcebe N, Hlokwe T, Bouw A, Michel A, Rutten V.	Microorganisms		2024
Phylogeny	Mycobacterium seoulense sp. nov., a slowly growing scotochromogenic species.	Mun HS, Kim HJ, Oh EJ, Kim H, Bai GH, Yu HK, Park YG, Cha CY, Kook YH, Kim BJ	Int J Syst Evol Microbiol	10.1099/ijs.0.64744-0	2007

References

#12230	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44998
#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 )
#28232	IJSEM 594 2007 ( DOI 10.1099/ijs.0.64744-0 , PubMed 17329791 )
#31977	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 #28232
#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;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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 .
#122562	Collection of Institut Pasteur ; Curators of the CIP; CIP 109583
#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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Mycobacterium seoulense (DSM 44998, CIP 109583, KCTC 19146)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

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_010731595

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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