Mycobacterium angelicum (DSM 45057, CIP 109313, 126/5/03)

Name: Mycobacterium angelicum (DSM 45057, CIP 109313, 126/5/03)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8539

Type strain

Strain Designation 126/5/03

Culture col. no. DSM 45057 CIP 109313 126/5/03

NCBI tax ID(s) 470074

Special Collections DSMZ CIP

Links

Mycobacterium angelicum 126/5/03 is an obligate aerobe, mesophilic prokaryote that was isolated from freshwater angelfish dermal lesions.

obligate aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 297511

CT2017-00308,DSM 45057,CIP 109313

@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 angelicum

Full scientific name Mycobacterium angelicum Pourahmad et al. 2015

Morphology

Cell morphology

@ref	Motility
116381
125438
125439
125439

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
12302	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
41885	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)
116381	CIP Medium 93	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
12302	positive	growth	28	mesophilic
41885	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
116381	obligate aerobe
125439	aerobe

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
116381	17632 ChEBI	nitrate	+	reduction
116381	16301 ChEBI	nitrite	-	reduction

Metabolite production

@ref	Chebi-ID	Metabolite	Production
116381	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
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
116381	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
116381	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
116381	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
116381	-	+	+	+	+	+	-	+	-	-	+	+	-	-	-	+	+	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Fishes
#Host Body-Site	#Other
#Host Body-Site	#Organ

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
12302	freshwater angelfish (Pterophyllum scalare) dermal lesions	Pterophyllum scalare	Ljubljana	Slovenia	SVN	Europe
116381	Animal, Fish, external lesion			Slovenia	SVN	Europe

Taxonmaps

69479

Global distribution of 16S sequence AM884328 (>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	Biosafety level	Biosafety level comment
116381	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	ASM2582240v1 assembly for Mycobacterium angelicum DSM 45057	scaffold	GCA_025822405	470074.5	8115942005	470074	63.79
66792	ASM208615v1 assembly for Mycobacterium angelicum DSM 45057	contig	GCA_002086155	470074.6	2865506402	470074
66792	Mycobacterium angelicum strain DSM 45057	contig		470074.3		470074

Genome browser: GCA_025822405

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
12302	Mycobacterium angelicum partial 16S rRNA gene, type strain DSM 45057T	AM884328	1510		470074

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium angelicum DSM 45057
NCBI: GCA_025822405

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	52.50	no
125439	motility	BacteriaNetⓘ	no	91.50	no
125439	gram_stain	BacteriaNetⓘ	positive	95.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	90.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium angelicum strain DSM 45057
PATRIC: 470074.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.07	no
125438	anaerobic	anaerobicⓘ	no	96.60	yes
125438	spore-forming	spore-formingⓘ	no	59.23	no
125438	thermophilic	thermophileⓘ	no	91.90	no
125438	aerobic	aerobicⓘ	yes	80.44	yes
125438	flagellated	motile2+ⓘ	no	86.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Detection of Mycobacterium angelicum in Human Urinary Tract, French Polynesia.	Keita ML, Morsli M, Levy M, Basse G, Verrier C, Drancourt M.	Emerg Infect Dis	10.3201/eid2907.221864	2023
Genetics	Global Genome Mining Reveals the Distribution of Diverse Thioamidated RiPP Biosynthesis Gene Clusters.	Malit JJL, Wu C, Liu LL, Qian PY.	Front Microbiol	10.3389/fmicb.2021.635389	2021
Enzymology	Pulmonary Isolation of Multidrug resistant "Mycobacterium simulans" and Mycobacterium tuberculosis from a patient in the Horn of Africa.	Bouzid F, Osman DA, Baptiste E, Delerce J, Hassan MO, Arreh WI, Levasseur A, Garnotel E, Drancourt M.	Sci Rep	10.1038/s41598-018-33737-9	2018
Phylogeny	Mycobacterium angelicum sp. nov., a non-chromogenic, slow-growing species isolated from fish and related to Mycobacterium szulgai.	Pourahmad F, Pate M, Ocepek M, Borroni E, Cabibbe AM, Capitolo E, Cittaro D, Frizzera E, Jencic V, Mariottini A, Marumo K, Vaggelli G, Cirillo DM, Tortoli E	Int J Syst Evol Microbiol	10.1099/ijsem.0.000642	2015

References

#12302	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45057
#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 )
#41885	; Curators of the CIP;
#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) .
#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 .
#116381	Collection of Institut Pasteur ; Curators of the CIP; CIP 109313
#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 angelicum (DSM 45057, CIP 109313, 126/5/03)

Name and taxonomic classification

Morphology

Cell morphology

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_025822405

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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