Mycobacterium sp. (DSM 43487, ATCC 19237, IMET 10656)

Name: Mycobacterium sp. (DSM 43487, ATCC 19237, IMET 10656)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8566

Type strain

Strain Designation Lausanne 2413

Culture col. no. DSM 43487 ATCC 19237 IMET 10656 SN 286 Lausanne 2413

NCBI tax ID(s) 1785

Special Collections DSMZ

Links

Lausanne 2413 is a mesophilic prokaryote that was isolated from gastric lavage.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 36913

ATCC 19237,DSM 43487,IMET 10656

@ref 20215

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

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Full scientific name Mycobacterium Lehmann and Neumann 1896 (Approved Lists 1980)

Synonyms (4)

Mycolicibacillus
Mycolicibacterium
Mycobacteroides
Mycolicibacter

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		92.5
125438		90.312	positive

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
11077	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)	Range
11077	positive	growth	37	mesophilic

Physiology and metabolism

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Gastrointestinal tract	#Stomach

Isolation

11077

Sample typegastric lavage

Taxonmaps

69479

Global distribution of 16S sequence AY457082 (>99% sequence identity) for Mycobacteroides from Microbeatlas

Aquatic Samples	6199
Soil Samples	7046
Animal Samples	7007
Plant Samples	1742
Total Samples	21994

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM194255v1 assembly for Mycobacteroides chelonae ATCC 19237	contig	GCA_001942555	1774.67	8040249411	1774	75.31

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Mycobacteroides chelonae strain ATCC 19237 16S ribosomal RNA gene, partial sequence	AY457082	1481		1774

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacteroides chelonae ATCC 19237
NCBI: GCA_001942555

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	88.30	no
125439	motility	BacteriaNetⓘ	no	51.80	no
125439	gram_stain	BacteriaNetⓘ	positive	73.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	88.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium chelonae strain ATCC 19237
PATRIC: 1774.67

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.31	no
125438	anaerobic	anaerobicⓘ	no	96.80	no
125438	spore-forming	spore-formingⓘ	no	61.43	no
125438	aerobic	aerobicⓘ	yes	87.70	no
125438	thermophilic	thermophileⓘ	no	96.00	yes
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Variation among human, veterinary and environmental Mycobacterium chelonae-abscessus complex isolates observed using core genome phylogenomic analysis, targeted gene comparison, and anti-microbial susceptibility patterns.	Fogelson SB, Camus AC, Lorenz WW, Vasireddy R, Vasireddy S, Smith T, Brown-Elliott BA, Wallace RJ Jr, Hasan NA, Reischl U, Sanchez S	PLoS One	10.1371/journal.pone.0214274	2019

References

#11077	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43487
#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 sp. (DSM 43487, ATCC 19237, IMET 10656)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001942555

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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