Mycobacterium intracellulare (KCTC 29084, JCM 30622, MOTT64)

Name: Mycobacterium intracellulare (KCTC 29084, JCM 30622, MOTT64)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140637

Type strain

Strain Designation MOTT64

Culture col. no. KCTC 29084 JCM 30622 MOTT64

NCBI tax ID(s) 1138383

Special Collections JCM KCTC Literature strains

History B.-J. Kim; Seoul Natl. Univ. Coll. of Med., South Korea; MOTT-64.

Links

Mycobacterium intracellulare MOTT64 is a mesophilic, rod-shaped prokaryote that was isolated from human sputum .

rod-shaped mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 24880

JCM 30622,KCTC 29084

@ref 20215

Last LPSN update 2025-12-16 10:03:39

Domain Bacillati

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** (22)	Type strain
8404	M. intracellulare N100616, DSM 44161, ATCC 23068, NCTC 10425
8405	M. intracellulare 2123, DSM 44365
8406	M. intracellulare DSM 44655
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

43072

Cell shaperod-shaped

Colony morphology

@ref	Colony color	Incubation period	Medium used
43072	white-yellow	>7 days	Middlebrook 7H10 agar

Culture and growth conditions

Culture medium

@ref	Name	Composition
43072	Middlebrook 7H10 agar
43072	MacConkey agar	without crystal violet
43072	7H10 agar	with thiophene-2-carboxylic acid hydrazide (10 µg/ml)
43072	7H10 agar	with p-nitrobenzoic acid (500 µg/ml)
43072	7H9 broth
43072	7H10 agar	ethambutol (8 µg/ml)
43072	7H10 agar	5 % NaCl

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
43072	positive	growth	25	mesophilic
43072	positive	optimum	37	mesophilic
67770	positive	growth	37	mesophilic

Culture pH

@ref	Ability	Type	PH
43072	positive	growth	5.5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.4

Spore formation

@ref	Type of spore	Spore formation
43072	spore

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43072	17632 ChEBI	nitrate	-	reduction

Antibiotic resistance

@ref	ChEBI	Metabolite	Resistance conc.	Sensitivity conc.
43072	2637	amikacin	16 µg/mL
43072	2637	amikacin	32 µg/mL
43072	209807	cefoxitin	256 µg/mL
43072	100241	ciprofloxacin	16 µg/mL
43072	3732	clarithromycin	2 µg/mL
43072	50845	doxycycline	32 µg/mL
43072	471744	imipenem		64 µg/mL
43072	63611	moxifloxacin	2 µg/mL
43072	63611	moxifloxacin	4 µg/mL
43072	28077	rifampicin	4 µg/mL
43072	28864	tobramycin		8 µg/mL

Enzymes

@ref	Value	Activity	Ec
43072	acid phosphatase	+	3.1.3.2
43072	alkaline phosphatase	+	3.1.3.1
43072	arylsulfatase	-	3.1.6.1
43072	beta-glucosidase	+	3.2.1.21
43072	catalase	+	1.11.1.6
43072	cystine arylamidase	+/-	3.4.11.3
43072	esterase (C 4)	+
43072	esterase Lipase (C 8)	+
43072	leucine arylamidase	+	3.4.11.1
43072	lipase (C 14)	+/-
43072	naphthol-AS-BI-phosphohydrolase	+
43072	pyrazinamidase	+	3.5.1.B15
43072	tellurite reductase	+
43072	urease	-	3.5.1.5
43072	valine arylamidase	+/-

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
43072	human sputum (60-year-old male pulmonary patient)	2010	Seoul, Republic of Korea	Republic of Korea	KOR	Asia
67770	Sputum of a patient with pulmonary infections		Seoul	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence JF271821 (>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

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM27682v1 assembly for Mycobacterium paraintracellulare MOTT64	complete	GCA_000276825	1138383.4	2512564041	1138383	98.77
66792	ASM1073193v1 assembly for Mycobacterium paraintracellulare JCM 30622	complete	GCA_010731935	1138383.15	8110362241	1138383	98.13
67770	ASM210473v1 assembly for Mycobacterium paraintracellulare KCTC 29084	contig	GCA_002104735	1138383.9	8114940590	1138383	55.2

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
43072	Mycobacterium paraintracellulare strain MOTT64 16S ribosomal RNA gene, partial sequence	KP670329	1305	1138383
67770	Mycobacterium sp. MOTT-64 16S ribosomal RNA gene, partial sequence	JF271821	1395	1069226
67770	Mycobacterium sp. MOTT-64 16S-23S ribosomal RNA intergenic spacer, partial sequence	JQ411530	280	1069226

GC content

@ref	GC-content (mol%)	Method
67770	68.07	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium paraintracellulare strain JCM 30622
PATRIC: 1138383.15

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.40	no
125439	gram_stain	BacteriaNetⓘ	positive	89.40	no
125439	motility	BacteriaNetⓘ	no	67.00	no
125439	spore_formation	BacteriaNetⓘ	no	71.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium paraintracellulare JCM 30622
NCBI: GCA_010731935.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.96	no
125438	anaerobic	anaerobicⓘ	no	96.04	no
125438	aerobic	aerobicⓘ	yes	79.31	no
125438	spore-forming	spore-formingⓘ	no	64.29	yes
125438	thermophilic	thermophileⓘ	no	96.08	yes
125438	flagellated	motile2+ⓘ	no	87.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Genetic Involvement of Mycobacterium avium Complex in the Regulation and Manipulation of Innate Immune Functions of Host Cells.	Shin MK, Shin SJ.	Int J Mol Sci	10.3390/ijms22063011	2021
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
Phylogeny	Mycobacterium paraintracellulare sp. nov., for the genotype INT-1 of Mycobacterium intracellulare.	Lee SY, Kim BJ, Kim H, Won YS, Jeon CO, Jeong J, Lee SH, Lim JH, Lee SH, Kim CK, Kook YH, Kim BJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.001158	2016

References

#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 )
#43072	So-Young Lee, Byoung-Jun Kim, Hong Kim, Yu-Seop Won, Che Ok Jeon, Joseph Jeong, Seon Ho Lee, Ji-Hun Lim, Seung-Heon Lee, Chang Ki Kim, Yoon-Hoh Kook and Bum-Joon Kim: Mycobacterium paraintracellulare sp. nov., for the genotype INT-1 of Mycobacterium intracellulare. IJSEM 66: 3132 - 3141 2016 ( DOI 10.1099/ijsem.0.001158 , PubMed 27189351 )
#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;
#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 intracellulare (KCTC 29084, JCM 30622, MOTT64)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Antibiotic resistance

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000276825

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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