Mycobacterium arosiense (DSM 45069, ATCC BAA-1401, T1921)

Name: Mycobacterium arosiense (DSM 45069, ATCC BAA-1401, T1921)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8554

Type strain

Strain Designation T1921

Culture col. no. DSM 45069 ATCC BAA-1401 T1921

NCBI tax ID(s) 1265311 425468

Special Collections DSMZ

History <- D. Bang <- Int. Ref. Lab. of Mycobacteriology, Denmark

Links

Mycobacterium arosiense T1921 is a bacterium that was isolated from bone biopsy from clavicle of a child with osteomyelitis.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407308

ATCC BAA-1401,DSM 45069

@ref 20215

Last LPSN update 2026-02-09 11:19:44

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium arosiense

Full scientific name Mycobacterium arosiense Bang et al. 2008

Morphology

Multimedia

@ref:	12312
multimedia content:	DSM_45069.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_45069.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
12312	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

Culture temp

@ref	Growth	Type	Temperature (°C)
12312	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Patient	#Biopsy
#Infection	#Patient	-
#Host Body-Site	#Other	#Bone
#Host	#Human	#Child

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
12312	bone biopsy from clavicle of a child with osteomyelitis	Aarhus	Denmark	DNK	Europe

Taxonmaps

69479

Global distribution of 16S sequence GQ153274 (>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
12312	2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
66792	ASM208612v1 assembly for Mycobacterium arosiense ATCC BAA-1401 = DSM 45069	contig	GCA_002086125	1265311.3	2865520462	1265311

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Mycobacterium arosiense strain T1921 16S-23S ribosomal RNA intergenic spacer, partial sequence	EU370533	315	1265311
20218	Mycobacterium arosiense strain ATCC BAA-1401 16S ribosomal RNA gene, partial sequence	GQ153274	1495	1265311
12312	Mycobacterium arosiense strain T1921 16S ribosomal RNA gene, partial sequence	EF054881	1493	1265311

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium arosiense ATCC BAA-1401 = DSM 45069
NCBI: GCA_002086125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	62.70	no
125439	motility	BacteriaNetⓘ	no	76.50	no
125439	gram_stain	BacteriaNetⓘ	positive	89.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium arosiense ATCC BAA-1401 = DSM 45069 strain DSM 45069
PATRIC: 1265311.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.77	no
125438	anaerobic	anaerobicⓘ	no	94.17	no
125438	spore-forming	spore-formingⓘ	no	59.37	no
125438	aerobic	aerobicⓘ	yes	79.87	no
125438	thermophilic	thermophileⓘ	no	95.74	no
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
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 arosiense sp. nov., a slowly growing, scotochromogenic species causing osteomyelitis in an immunocompromised child.	Bang D, Herlin T, Stegger M, Andersen AB, Torkko P, Tortoli E, Thomsen VO	Int J Syst Evol Microbiol	10.1099/ijs.0.65503-0	2008

References

#12312	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45069
#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) .
#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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Mycobacterium arosiense (DSM 45069, ATCC BAA-1401, T1921)

Name and taxonomic classification

Morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002086125

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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