Mycobacterium asiaticum (DSM 44297, ATCC 25276, CCUG 29115)

Name: Mycobacterium asiaticum (DSM 44297, ATCC 25276, CCUG 29115)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8431

Type strain

Strain Designation 3056, N61H, 61, 92003

Culture col. no. DSM 44297 ATCC 25276 CCUG 29115 TMC 803 3056 5 more

NCBI tax ID(s) 1265310 1790

Special Collections DSMZ CCUG JCM CIP

History DSMZ <- CCUG; CCUG 29115 <- M. Ridell, Univ. Göteborg; <- A. Lind, Univ. Göteborg; <- ATCC; ATCC 25276 <- E. H. Runyon; 3056 <- J. Weiszfeiler; N61H CIP <- 2000, JCM <- M. Tsukamura: strain 92003 <- H. Saito <- J. Weiszfeiler: strain 61

Links

Mycobacterium asiaticum 3056 is an obligate aerobe, rod-shaped human pathogen that was isolated from Rhesus monkey .

rod-shaped obligate aerobe human pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 45745

ATCC 25276,CCUG 29115,CIP 106809,JCM 6409,DSM 44297,KCTC 9503,CNCTC 7256

@ref 20215

Last LPSN update 2026-05-29 08:26:52

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium asiaticum

Full scientific name Mycobacterium asiaticum Weiszfeiler et al. 1971 (Approved Lists 1980)

BacDive ID	Other strains from **Mycobacterium asiaticum** (1)	Type strain
8430	M. asiaticum Runyon 3016, N27A, DSM 44292, ATCC 25274, ...

Morphology

Cell morphology

@ref	Cell shape	Motility	Gram stain	Confidence
116527	rod-shaped
125438			positive	91.047

Multimedia

@ref:	11654
multimedia content:	DSM_44297.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_44297.jpg
caption:	Medium 645 37°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
11654	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
36335	MEDIUM 55 - for Mycobacterium
116527	CIP Medium 55	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
11654	positive	growth	37
36335	positive	growth	37
116527	positive	growth	22-37
116527	negative	growth	10
116527	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
116527	obligate aerobe
125439	obligate aerobe	99.63

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
116527	606565 ChEBI	hippurate	-	hydrolysis
116527	17632 ChEBI	nitrate	+	reduction
116527	17632 ChEBI	nitrate	-	respiration
116527	16301 ChEBI	nitrite	-	reduction

Metabolite production

@ref	Chebi-ID	Metabolite	Production
116527	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
116527	beta-galactosidase	-	3.2.1.23
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
116527	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
116527	gamma-glutamyltransferase	-	2.3.2.2
116527	gelatinase	-
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
116527	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
116527	urease	-	3.5.1.5
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	biotin biosynthesis	100	4 of 4
66794	glycolate and glyoxylate degradation	100	6 of 6
66794	ethylmalonyl-CoA pathway	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	ethanol fermentation	100	2 of 2
66794	octane oxidation	100	3 of 3
66794	acetate fermentation	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	adipate degradation	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	butanoate fermentation	100	4 of 4
66794	valine metabolism	100	9 of 9
66794	starch degradation	100	10 of 10
66794	formaldehyde oxidation	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	ceramide biosynthesis	100	1 of 1
66794	taurine degradation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	aerobactin biosynthesis	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	lactate fermentation	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	vitamin K metabolism	100	5 of 5
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	denitrification	100	2 of 2
66794	photosynthesis	92.86	13 of 14
66794	phenylalanine metabolism	92.31	12 of 13
66794	propionate fermentation	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	4-hydroxymandelate degradation	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	ketogluconate metabolism	87.5	7 of 8
66794	propanol degradation	85.71	6 of 7
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	leucine metabolism	84.62	11 of 13
66794	vitamin B12 metabolism	82.35	28 of 34
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	pentose phosphate pathway	81.82	9 of 11
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	Entner Doudoroff pathway	80	8 of 10
66794	cellulose degradation	80	4 of 5
66794	flavin biosynthesis	80	12 of 15
66794	threonine metabolism	80	8 of 10
66794	factor 420 biosynthesis	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	citric acid cycle	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	urea cycle	76.92	10 of 13
66794	isoleucine metabolism	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	gluconeogenesis	75	6 of 8
66794	cyclohexanol degradation	75	3 of 4
66794	toluene degradation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	metabolism of disaccharids	72.73	8 of 11
66794	alanine metabolism	72.41	21 of 29
66794	purine metabolism	72.34	68 of 94
66794	glutathione metabolism	71.43	10 of 14
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	lipid metabolism	70.97	22 of 31
66794	glycolysis	70.59	12 of 17
66794	vitamin B1 metabolism	69.23	9 of 13
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	3-phenylpropionate degradation	66.67	10 of 15
66794	d-mannose degradation	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	methionine metabolism	65.38	17 of 26
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	bile acid biosynthesis, neutral pathway	64.71	11 of 17
66794	tryptophan metabolism	63.16	24 of 38
66794	degradation of sugar alcohols	62.5	10 of 16
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	androgen and estrogen metabolism	62.5	10 of 16
66794	pyrimidine metabolism	62.22	28 of 45
66794	oxidative phosphorylation	61.54	56 of 91
66794	cysteine metabolism	61.11	11 of 18
66794	non-pathway related	60.53	23 of 38
66794	lipoate biosynthesis	60	3 of 5
66794	gallate degradation	60	3 of 5
66794	phenol degradation	60	12 of 20
66794	3-chlorocatechol degradation	60	3 of 5
66794	arachidonate biosynthesis	60	3 of 5
66794	peptidoglycan biosynthesis	60	9 of 15
66794	histidine metabolism	55.17	16 of 29
66794	cholesterol biosynthesis	54.55	6 of 11
66794	proline metabolism	54.55	6 of 11
66794	arginine metabolism	54.17	13 of 24
66794	sulfate reduction	53.85	7 of 13
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	degradation of pentoses	50	14 of 28
66794	carotenoid biosynthesis	50	11 of 22
66794	phenylmercury acetate degradation	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	sphingosine metabolism	50	3 of 6
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	ascorbate metabolism	50	11 of 22
66794	resorcinol degradation	50	1 of 2
66794	degradation of sugar acids	48	12 of 25
66794	lysine metabolism	47.62	20 of 42
66794	degradation of hexoses	44.44	8 of 18
66794	nitrate assimilation	44.44	4 of 9
66794	lipid A biosynthesis	44.44	4 of 9
66794	polyamine pathway	43.48	10 of 23
66794	tyrosine metabolism	42.86	6 of 14
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	glycine betaine biosynthesis	40	2 of 5
66794	creatinine degradation	40	2 of 5
66794	D-cycloserine biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	elloramycin biosynthesis	40	2 of 5
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	carnitine metabolism	37.5	3 of 8
66794	vitamin B6 metabolism	36.36	4 of 11
66794	chlorophyll metabolism	33.33	6 of 18
66794	arachidonic acid metabolism	33.33	6 of 18
66794	IAA biosynthesis	33.33	1 of 3
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	d-xylose degradation	27.27	3 of 11
66794	CMP-KDO biosynthesis	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	daunorubicin biosynthesis	22.22	2 of 9

Fatty acid profile

Metadata FA analysis

@ref

49503

Fatty acid	Percentage	ECL
C16:0	34.8	16
C18:2 ω6,9c/C18:0 ANTE	30.6	17.724
C18:1 ω9c	16.2	17.769
C14:0	5.2	14
C18:0	3.3	18
C17:1 ω5c ISO	1.2	16.461
C16:0 iso	1.2	15.626
C16:1 ω7c/C15:0 ISO 2OH	0.9	15.85
C16:1 ω11c	0.8	15.757
C16:0 anteiso	0.8	15.717
C16:1 ω7c	0.8	15.819
C15:0	0.7	15
Unidentified	0.5	11.959
Unidentified	0.5	11.052
C17:0 anteiso	0.5	16.722
C17:0	0.5	17
C17:1 ω8c	0.4	16.792
C14:0 ANTEISO	0.3	13.707
Unidentified	0.3	18.459
C20:4 ω6,9,12,15c	0.2	19.395
Unidentified	0.2	16.101
Unidentified	0.2	17.191
Unidentified	0.2	18.181

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
116527	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

API biotype100

@ref	ControlQ	D-glucose as carbon sourceGLU	D-fructose as carbon sourceFRU	D-galactose as carbon sourceGAL	D-trehalose as carbon sourceTRE	D-mannose as carbon sourceMNE	L-sorbose as carbon sourceSBE	D-melibiose as carbon sourceMEL	sucrose as carbon sourceSAC	D-raffinose as carbon sourceRAF	maltotriose as carbon sourceMTE	maltose as carbon sourceMAL	lactose as carbon sourceLAC	lactulose as carbon sourceLTE	1-O-methyl-beta-galactopyranoside as carbon sourceMbGa	1-O-methyl-alpha-galactopyranoside as carbon sourceMaGa	D-cellobiose as carbon sourceCEL	gentiobiose as carbon sourceGEN	1-O-methyl-beta-D-glucopyranoside as carbon sourceMbGu	esculin as carbon sourceESC	D-ribose as carbon sourceRIB	L-arabinose as carbon sourceARA	D-xylose as carbon sourceXYL	palatinose as carbon sourcePLE	L-rhamnose as carbon sourceRHA	L-fucose as carbon sourceFUC	D-melezitose as carbon sourceMLZ	D-arabitol as carbon sourceDARL	L-arabitol as carbon sourceLARL	xylitol as carbon sourceXLT	dulcitol as carbon sourceDUL	D-tagatose as carbon sourceTAG	glycerol as carbon sourceGLY	myo-inositol as carbon sourceINO	D-mannitol as carbon sourceMAN	maltitol as carbon sourceMTL	D-turanose as carbon sourceTUR	D-sorbitol as carbon sourceSOR	adonitol as carbon sourceADO	hydroxyquinoline-beta-glucuronide as carbon sourceHBG	D-lyxose as carbon sourceLYX	i-erythritol as carbon sourceERY	1-O-methyl-alpha-D-glucoside as carbon sourceMDG	3-O-methyl-D-glucose as carbon source3MDG	D-saccharate as carbon sourceSAT	mucate as carbon sourceMUC	L-tartrate as carbon sourceLTAT	D-tartrate as carbon sourceDTAT	meso-tartrate as carbon sourceMTAT	D-malate as carbon sourceDMLT	L-malate as carbon sourceLMLT	cis-aconitate as carbon sourceCATE	trans-aconitate as carbon sourceTATE	tricarballylate as carbon sourceTTE	citrate as carbon sourceCIT	D-glucuronate as carbon sourceGRT	D-galacturonate as carbon sourceGAT	2-ketogluconate as carbon source2KG	5-ketogluconate as carbon source5KG	tryptophan as carbon sourceTRY	N-acetyl-D-glucosamine as carbon sourceNAG	D-gluconate as carbon sourceGNT	phenylacetate as carbon sourcePAC	protocatechuate as carbon sourcePAT	4-hydroxybenzoate as carbon sourcepOBE	quinate as carbon sourceQAT	gentisate as carbon sourceGTE	3-hydroxybenzoate as carbon sourcemOBE	benzoate as carbon sourceBAT	3-phenylpropionate as carbon sourcePPAT	m-coumarate as carbon sourceCMT	trigonelline as carbon sourceTGE	betaine as carbon sourceBET	putrescine as carbon sourcePCE	4-aminobutyrate as carbon sourceABT	histamine as carbon sourceHIN	DL-lactate as carbon sourceLAT	caprate as carbon sourceCAP	caprylate as carbon sourceCYT	L-histidine as carbon sourceHIS	succinate as carbon sourceSUC	fumarate as carbon sourceFUM	glutarate as carbon sourceGRE	DL-glycerate as carbon sourceGYT	5-aminovalerate as carbon sourceAVT	ethanolamine as carbon sourceETN	tryptamine as carbon sourceTTN	D-glucosamine as carbon sourceGLN	itaconate as carbon sourceITA	3-hydroxybutyrate as carbon source3OBU	L-aspartate as carbon sourceAPT	L-glutamate as carbon sourceGTT	L-proline as carbon sourcePRO	D-alanine as carbon sourceDALA	L-alanine as carbon sourceLALA	L-serine as carbon sourceSER	malonate as carbon sourceMNT	propionate as carbon sourcePROP	L-tyrosine as carbon sourceTYR	2-ketoglutarate as carbon source2KT
116527	not determinedn.d.	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Primates

Isolation

@ref	Sample type	Host species
11654	Rhesus monkey (Macaca mulatta)	Macaca mulatta
49503	Indian monkey,Macaca mulatta	Macaca mulatta
116527	Indian monkey, Macacus rhesus	Macacus rhesus

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
11654			2	Risk group (German classification) According to TRBA 466
116527			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	PRJEB5743_assembly_1 assembly for Mycobacterium asiaticum DSM 44297	scaffold	GCA_000613245	1265310.3	2619619251	1265310	56.52
66792	ASM208654v1 assembly for Mycobacterium asiaticum DSM 44297	contig	GCA_002086545	1265310.4	8113354718	1265310	51.01

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Mycobacterium asiaticum 16S ribosomal RNA gene, partial sequence	AF480595	1466	1790
20218	M.asiaticum 16S ribosomal RNA	M29556	1368	1790
20218	M.asiaticum 16S ribosomal RNA, part	X55604	1468	1790
20218	Mycobacterium asiaticum strain DSM 44297 16S ribosomal RNA gene, partial sequence	AF547896	554	1265310

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: PRJEB5743_assembly_1 assembly for Mycobacterium asiaticum DSM 44297
BV-BRC: 1265310.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.63	no
125439	gram_stain	BacteriaNetⓘ	positive	87.71	no
125439	motility	BacteriaNetⓘ	no	87.53	no
125439	spore_formation	BacteriaNetⓘ	yes	47.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium asiaticum DSM 44297 DSM 44297
NCBI: GCA_000613245.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.05	no
125438	anaerobic	anaerobicⓘ	no	98.18	yes
125438	aerobic	aerobicⓘ	yes	84.13	yes
125438	spore-forming	spore-formingⓘ	no	61.81	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	87.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Draft Genome Sequence of Mycobacterium bohemicum Strain DSM 44277T.	Asmar S, Phelippeau M, Robert C, Croce O, Drancourt M.	Genome Announc	10.1128/genomea.00878-15	2015
	Chemotaxonomy and Antibacterial Activity of the Extracts and Chemical Constituents of Psychotria succulenta Hiern. (Rubiaceae).	Ngnokam Jouogo DC, Tamokou JD, Teponno RB, Matsuete-Takongmo G, Voutquenne-Nazabadioko L, Tapondjou LA, Ngnokam D.	Biomed Res Int	10.1155/2022/7856305	2022
Enzymology	Evaluation of the invader assay with the BACTEC MGIT 960 system for prompt isolation and identification of mycobacterial species from clinical specimens.	Ichimura S, Nagano M, Ito N, Shimojima M, Egashira T, Miyamoto C, Ohkusu K, Ezaki T.	J Clin Microbiol	10.1128/jcm.02289-06	2007
Enzymology	Quantitative use of fluorescent in situ hybridization to examine relationships between mycolic acid-containing actinomycetes and foaming in activated sludge plants.	Davenport RJ, Curtis TP, Goodfellow M, Stainsby FM, Bingley M.	Appl Environ Microbiol	10.1128/aem.66.3.1158-1166.2000	2000
	Nosiheptide Harbors Potent In Vitro and Intracellular Inhbitory Activities against Mycobacterium tuberculosis.	Yu X, Zhu R, Geng Z, Kong Y, Wang F, Dong L, Zhao L, Xue Y, Ma X, Huang H.	Microbiol Spectr	10.1128/spectrum.01444-22	2022
	In Vitro Activity of the Sudapyridine (WX-081) against Non-Tuberculous Mycobacteria Isolated in Beijing, China.	Zhu R, Shang Y, Chen S, Xiao H, Ren R, Wang F, Xue Y, Li L, Li Y, Chu N, Huang H.	Microbiol Spectr	10.1128/spectrum.01372-22	2022
	In vitro Antimicrobial Activity Comparison of Linezolid, Tedizolid, Sutezolid and Delpazolid Against Slowly Growing Mycobacteria Isolated in Beijing, China.	Yu X, Huo F, Wang F, Wen S, Jiang G, Xue Y, Dong L, Zhao L, Zhu R, Huang H.	Infect Drug Resist	10.2147/idr.s332835	2021
Pathogenicity	In Vitro Activities of Bedaquiline and Delamanid against Nontuberculous Mycobacteria Isolated in Beijing, China.	Yu X, Gao X, Li C, Luo J, Wen S, Zhang T, Ma Y, Dong L, Wang F, Huang H.	Antimicrob Agents Chemother	10.1128/aac.00031-19	2019
	Influence of plant diversity and elevated atmospheric carbon dioxide levels on belowground bacterial diversity.	Gruter D, Schmid B, Brandl H.	BMC Microbiol	10.1186/1471-2180-6-68	2006
Phylogeny	Rapid identification of mycobacterial whole cells in solid and liquid culture media by matrix-assisted laser desorption ionization-time of flight mass spectrometry.	Lotz A, Ferroni A, Beretti JL, Dauphin B, Carbonnelle E, Guet-Revillet H, Veziris N, Heym B, Jarlier V, Gaillard JL, Pierre-Audigier C, Frapy E, Berche P, Nassif X, Bille E.	J Clin Microbiol	10.1128/jcm.01397-10	2010
Phylogeny	Biochip system for rapid and accurate identification of mycobacterial species from isolates and sputum.	Zhu L, Jiang G, Wang S, Wang C, Li Q, Yu H, Zhou Y, Zhao B, Huang H, Xing W, Mitchelson K, Cheng J, Zhao Y, Guo Y.	J Clin Microbiol	10.1128/jcm.00158-10	2010
Pathogenicity	Dual-probe assay for rapid detection of drug-resistant Mycobacterium tuberculosis by real-time PCR.	Wada T, Maeda S, Tamaru A, Imai S, Hase A, Kobayashi K.	J Clin Microbiol	10.1128/jcm.42.11.5277-5285.2004	2004
Phylogeny	Routine identification of Mycobacterium tuberculosis complex isolates by automated hybridization.	Mabilat C, Desvarenne S, Panteix G, Machabert N, Bernillon MH, Guardiola G, Cros P.	J Clin Microbiol	10.1128/jcm.32.11.2702-2705.1994	1994
	Compilation of small ribosomal subunit RNA structures.	Neefs JM, Van de Peer Y, De Rijk P, Chapelle S, De Wachter R.	Nucleic Acids Res	10.1093/nar/21.13.3025	1993
Phylogeny	The division between fast- and slow-growing species corresponds to natural relationships among the mycobacteria.	Stahl DA, Urbance JW.	J Bacteriol	10.1128/jb.172.1.116-124.1990	1990
	Identification of mycobacteria by high-performance liquid chromatography.	Butler WR, Jost KC, Kilburn JO.	J Clin Microbiol	10.1128/jcm.29.11.2468-2472.1991	1991
Genetics	Draft Genome Sequence of Mycobacterium asiaticum Strain DSM 44297.	Croce O, Robert C, Raoult D, Drancourt M	Genome Announc	10.1128/genomeA.00320-14	2014

References

#11654	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44297
#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 )
#36335	; Curators of the CIP;
#49503	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 29115
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#68382	Automatically annotated from API zym .
#116527	Collection of Institut Pasteur ; Curators of the CIP; CIP 106809
#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 asiaticum (DSM 44297, ATCC 25276, CCUG 29115)

Name and taxonomic classification

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API biotype100

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