Mycobacterium intracellulare (DSM 44655)

Name: Mycobacterium intracellulare (DSM 44655)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8406

Type strain

Variant Contamination originating from BacDive ID 8511

Culture col. no. DSM 44655

NCBI tax ID(s) 1767

Special Collections DSMZ

History <- R. Kroppenstedt, Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH; DSM 44655 <- CIP

Links

Mycobacterium intracellulare DSM 44655 is a human pathogen of the family Mycobacteriaceae.

human pathogen genome sequence Bacteria

Name and taxonomic classification

SI-ID 125944

DSM 44655

@ref 20215

Last LPSN update 2026-02-09 11:19:42

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium intracellulare

Full scientific name Mycobacterium intracellulare corrig. (Cuttino and McCabe 1949) Runyon 1965 (Approved Lists 1980)

Synonyms (3)

"Nocardia intracellularis"
Mycobacterium intracellularis
Mycobacterium paraintracellulare

BacDive ID	Other strains from **Mycobacterium intracellulare** (21)	Type strain
8404	M. intracellulare N100616, DSM 44161, ATCC 23068, NCTC 10425
8405	M. intracellulare 2123, DSM 44365
145189	M. intracellulare CCUG 27852
145260	M. intracellulare CCUG 28000
145261	M. intracellulare CCUG 28001, ATCC 35772, TMC 1469
145625	M. intracellulare CCUG 29033, ATCC 23426
163838	M. intracellulare JCM 30618
163839	M. intracellulare JCM 30619
173070	M. intracellulare 140310075, CRBIP7.149, CIPT 149, Howell P-42
173071	M. intracellulare 140310076, CRBIP7.150, CIPT 150, TMC 1466
173072	M. intracellulare 140310077, CRBIP7.151, CIPT 151
173073	M. intracellulare 140310079, CRBIP7.152, CIPT 152
173074	M. intracellulare P-54, 140310080, CRBIP7.153, CIPT 153
173075	M. intracellulare 140310081, 4990, CRBIP7.154, CIPT 154
173076	M. intracellulare 140310082, W552, CRBIP7.155, CIPT 155
173077	M. intracellulare 140310083, AT545, CRBIP7.156, CIPT 156
173078	M. intracellulare 23393, 140310085, CRBIP7.158, CIPT 158
173079	M. intracellulare 140310086, 12646, CRBIP7.159, CIPT 159
173080	M. intracellulare 140310090, 9055, CRBIP7.162, CIPT 162
173081	M. intracellulare 140310097, CRBIP7.168, CIPT 168
173082	M. intracellulare 140310078, CRBIP7.169, CIPT 169, TMC 1475

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	95

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
11964	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
36242	MEDIUM 55 - for Mycobacterium

Culture temp

@ref	Growth	Type	Temperature (°C)
11964	positive	growth	37
36242	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.3

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Microbial	#Bacteria
#Environmental	#Microbial community	#Co-culture
#Engineered	#Laboratory	-

Isolation

@ref	Geographic location	Country	Country ISO 3 Code	Continent	Sample type
36242	California	USA	USA	North America
11964					culture of Mycobacterium triplex CIP 106108

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
11964			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	Score
66792	Mycobacterium intracellulare strain FDAARGOS_1564	complete		1767.185		1767	98.98
124043	ASM2073600v1 assembly for Mycobacterium intracellulare FDAARGOS_1564	complete	GCA_020736005	1767.173	8120655606	1767	97.39

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium intracellulare strain FDAARGOS_1564
PATRIC: 1767.185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	53.20	no
125439	motility	BacteriaNetⓘ	no	78.90	no
125439	gram_stain	BacteriaNetⓘ	positive	95.00	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 intracellulare strain FDAARGOS_1564
PATRIC: 1767.185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.66	no
125438	anaerobic	anaerobicⓘ	no	95.75	no
125438	spore-forming	spore-formingⓘ	no	63.24	no
125438	aerobic	aerobicⓘ	yes	80.88	no
125438	thermophilic	thermophileⓘ	no	96.18	no
125438	flagellated	motile2+ⓘ	no	88.50	no

Literature

References

#11964	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44655
#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 )
#36242	; 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) .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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