Mycobacterium marseillense (JCM 17324, DSM 45437, CCUG 56325)

Name: Mycobacterium marseillense (JCM 17324, DSM 45437, CCUG 56325)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8582

Type strain

Strain Designation 5356591

Culture col. no. JCM 17324 DSM 45437 CCUG 56325 CIP 109828 CSUR P30 1 more

NCBI tax ID(s) 701042

Special Collections DSMZ CCUG JCM CIP Literature strains

Links

Mycobacterium marseillense 5356591 is an obligate aerobe, mesophilic, Gram-positive prokaryote that was isolated from human sputum.

Gram-positive obligate aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 364722

DSM 45437,CCUG 56325,CIP 109828,JCM 17324

@ref 20215

Last LPSN update 2025-12-16 09:48:52

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium marseillense

Full scientific name Mycobacterium marseillense Ben Salah et al. 2009

BacDive ID	Other strains from **Mycobacterium marseillense** (1)	Type strain
139495	M. marseillense 62863, CIP 109832, CCUG 56324

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29309	positive	0.98 µm	0.52 µm
120843	positive			rod-shaped
125439	positive				90.4
125438					90

Pigmentation

29309

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
16815	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
41748	MEDIUM 93 - for Mycobacterium avium subsp. sylvaticum		Distilled water make up to (900.000 ml);Glycerol (4.500 ml);Middlebrook7H10 agar (17.000 g);Middelbrook OADC enrichment (100.000 ml)
120843	CIP Medium 93	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
16815	positive	growth	28	mesophilic
41748	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
120843	obligate aerobe
125439	obligate aerobe	99.3

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29309	4853 ChEBI	esculin	+	hydrolysis
120843	17632 ChEBI	nitrate	-	reduction
120843	16301 ChEBI	nitrite	-	reduction
29309	33942 ChEBI	ribose	+	carbon source
29309	53426 ChEBI	tween 80	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120843	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
29309	acid phosphatase	+	3.1.3.2
68382	acid phosphatase	+	3.1.3.2	from API zym
29309	alkaline phosphatase	+	3.1.3.1
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
120843	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
68382	esterase (C 4)	-		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
120843	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
120843	urease	-	3.5.1.5
68382	valine arylamidase	-		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
120843	-	+	-	+	-	+	-	+	-	-	+	+	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Sputum

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
16815	human sputum		Marseille	France	FRA	Europe
60919	Human sputum	2000	Marseille	France	FRA	Europe
67770	Sputum
120843	Human, Spit		Marseille	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence EU266632 (>99% sequence identity) for Mycobacterium from Microbeatlas

Aquatic Samples	4789
Soil Samples	12779
Animal Samples	3677
Plant Samples	2833
Total Samples	24078

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16815	2	Risk group (German classification) According to TRBA 466
120843	2	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	ASM1073167v1 assembly for Mycobacterium marseillense JCM 17324	complete	GCA_010731675	701042.13	8110571010	701042	98.69
66792	ASM2582312v1 assembly for Mycobacterium marseillense DSM 45437	contig	GCA_025823125	701042.22	8115536022	701042	72.78
67770	ASM208634v1 assembly for Mycobacterium marseillense DSM 45437	contig	GCA_002086345	701042.3	8113912580	701042	57.41

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16815	Mycobacterium marseillense strain 5356591 16S ribosomal RNA gene, partial sequence	EU266632	1440		701042

GC content

@ref	GC-content (mol%)	Method
67770	67.7	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium marseillense JCM 17324
NCBI: GCA_010731675

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	71.10	no
125439	motility	BacteriaNetⓘ	no	68.40	no
125439	gram_stain	BacteriaNetⓘ	positive	90.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium marseillense JCM 17324
NCBI: GCA_010731675.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.82	yes
125438	anaerobic	anaerobicⓘ	no	95.84	no
125438	aerobic	aerobicⓘ	yes	77.00	no
125438	spore-forming	spore-formingⓘ	no	64.26	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Identification of mycobacteria in solid-culture media by matrix-assisted laser desorption ionization-time of flight mass spectrometry.	Saleeb PG, Drake SK, Murray PR, Zelazny AM.	J Clin Microbiol	10.1128/jcm.02135-10	2011
Phylogeny	Microbiological features and clinical relevance of new species of the genus Mycobacterium.	Tortoli E.	Clin Microbiol Rev	10.1128/cmr.00035-14	2014
Phylogeny	Mycobacterium marseillense sp. nov., Mycobacterium timonense sp. nov. and Mycobacterium bouchedurhonense sp. nov., members of the Mycobacterium avium complex.	Ben Salah I, Cayrou C, Raoult D, Drancourt M	Int J Syst Evol Microbiol	10.1099/ijs.0.010637-0	2009

References

#16815	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45437
#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 )
#29309	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 #25722 (see below)
#41748	; Curators of the CIP;
#60919	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 56325
#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;
#68382	Automatically annotated from API zym .
#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 .
#120843	Collection of Institut Pasteur ; Curators of the CIP; CIP 109828
#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 marseillense (JCM 17324, DSM 45437, CCUG 56325)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Enzymes

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_010731675

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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