Mycobacterium wolinskyi (DSM 44493, ATCC 700010, CIP 106348)

Name: Mycobacterium wolinskyi (DSM 44493, ATCC 700010, CIP 106348)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 136730

Type strain

Strain Designation TBC 8878, M0739, Mo739

Culture col. no. DSM 44493 ATCC 700010 CIP 106348 TBC 8878 CCUG 48179 4 more

NCBI tax ID(s) 59750

Special Collections DSMZ CCUG JCM CIP

History <- CIP <- G. E. Pfyffer; M0739 CCUG 47168 <-- ATCC 700010 <-- R. J. Wallace MO739 <-- G. E. Pfyffer TBC 8878. CIP <- 2003, V. Vincent, Inst. Pasteur, Paris, France <- R.J. Wallace & B.A. Brown, Univ. of Texas Health Center, Texas, USA: strain Mo739 <- G.E. Pfyffer, Swiss Nat. Center Zürich, Switzerland

Links

Mycobacterium wolinskyi TBC 8878 is a microaerophile, rod-shaped bacterium of the family Mycobacteriaceae.

rod-shaped microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 43724

ATCC 700010,CIP 106348,DSM 44493,CCUG 47168,CCUG 48179,JCM 13393

@ref 20215

Last LPSN update 2026-02-09 11:32:43

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium wolinskyi

Full scientific name Mycobacterium wolinskyi Brown et al. 1999

Synonyms (1)

Mycolicibacterium wolinskyi

Morphology

Cell morphology

@ref	Gram stain	Confidence	Cell shape	Motility
125439	positive	96.1
123956			rod-shaped

Colony morphology

57551

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
64151	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
36249	MEDIUM 55 - for Mycobacterium
123956	CIP Medium 55	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
36249	positive	growth	30
64151	positive	growth	37
67770	positive	growth	37
123956	positive	growth	22-30
123956	negative	growth	10
123956	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
57551	microaerophile
123956	aerobe
125438	aerobe	90.415
125439	obligate aerobe	98.4

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
123956	606565 ChEBI	hippurate	-	hydrolysis
123956	17632 ChEBI	nitrate	+	reduction
123956	17632 ChEBI	nitrate	-	respiration
123956	16301 ChEBI	nitrite	-	reduction

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
123956	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite production

@ref	Chebi-ID	Metabolite	Production
123956	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
123956	amylase	-
123956	beta-galactosidase	-	3.2.1.23
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
123956	caseinase	-	3.4.21.50
123956	catalase	+	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
123956	DNase	-
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
123956	gamma-glutamyltransferase	+	2.3.2.2
123956	gelatinase	-
123956	lecithinase	-
68382	leucine arylamidase	+	3.4.11.1	from API zym
123956	lipase	-
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
123956	oxidase	-
123956	protease	-
68382	trypsin	-	3.4.21.4	from API zym
123956	tween esterase	-
123956	urease	+	3.5.1.5
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	ppGpp biosynthesis	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	butanoate fermentation	100	4 of 4
66794	resorcinol degradation	100	2 of 2
66794	valine metabolism	100	9 of 9
66794	phenol degradation	100	20 of 20
66794	degradation of aromatic, nitrogen containing compounds	100	12 of 12
66794	phenylmercury acetate degradation	100	2 of 2
66794	3-chlorocatechol degradation	100	5 of 5
66794	starch degradation	100	10 of 10
66794	biotin biosynthesis	100	4 of 4
66794	L-lactaldehyde degradation	100	3 of 3
66794	molybdenum cofactor biosynthesis	100	9 of 9
66794	adipate degradation	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	acetate fermentation	100	4 of 4
66794	enterobactin biosynthesis	100	3 of 3
66794	aerobactin biosynthesis	100	1 of 1
66794	taurine degradation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
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	threonine metabolism	100	10 of 10
66794	ethanol fermentation	100	2 of 2
66794	octane oxidation	100	3 of 3
66794	gallate degradation	100	5 of 5
66794	folate polyglutamylation	100	1 of 1
66794	cyanate degradation	100	3 of 3
66794	NAD metabolism	94.44	17 of 18
66794	citric acid cycle	92.86	13 of 14
66794	glutamate and glutamine metabolism	92.86	26 of 28
66794	photosynthesis	92.86	13 of 14
66794	leucine metabolism	92.31	12 of 13
66794	urea cycle	92.31	12 of 13
66794	phenylalanine metabolism	92.31	12 of 13
66794	pentose phosphate pathway	90.91	10 of 11
66794	Entner Doudoroff pathway	90	9 of 10
66794	propionate fermentation	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	allantoin degradation	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	d-mannose degradation	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	vitamin B12 metabolism	88.24	30 of 34
66794	dTDPLrhamnose biosynthesis	87.5	7 of 8
66794	isoleucine metabolism	87.5	7 of 8
66794	gluconeogenesis	87.5	7 of 8
66794	flavin biosynthesis	86.67	13 of 15
66794	3-phenylpropionate degradation	86.67	13 of 15
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	heme metabolism	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	glutathione metabolism	85.71	12 of 14
66794	propanol degradation	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	selenocysteine biosynthesis	83.33	5 of 6
66794	purine metabolism	82.98	78 of 94
66794	proline metabolism	81.82	9 of 11
66794	vitamin B6 metabolism	81.82	9 of 11
66794	cellulose degradation	80	4 of 5
66794	myo-inositol biosynthesis	80	8 of 10
66794	factor 420 biosynthesis	80	4 of 5
66794	vitamin K metabolism	80	4 of 5
66794	glycine betaine biosynthesis	80	4 of 5
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	alanine metabolism	79.31	23 of 29
66794	degradation of pentoses	78.57	22 of 28
66794	pyrimidine metabolism	77.78	35 of 45
66794	4-hydroxymandelate degradation	77.78	7 of 9
66794	methionine metabolism	76.92	20 of 26
66794	bile acid biosynthesis, neutral pathway	76.47	13 of 17
66794	glycolysis	76.47	13 of 17
66794	tryptophan metabolism	76.32	29 of 38
66794	degradation of sugar acids	76	19 of 25
66794	ketogluconate metabolism	75	6 of 8
66794	toluene degradation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	cyclohexanol degradation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	degradation of sugar alcohols	75	12 of 16
66794	arginine metabolism	75	18 of 24
66794	glycogen biosynthesis	75	3 of 4
66794	lipid metabolism	74.19	23 of 31
66794	non-pathway related	73.68	28 of 38
66794	metabolism of disaccharids	72.73	8 of 11
66794	oxidative phosphorylation	72.53	66 of 91
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	4-hydroxyphenylacetate degradation	70	7 of 10
66794	sulfate reduction	69.23	9 of 13
66794	lysine metabolism	69.05	29 of 42
66794	degradation of hexoses	66.67	12 of 18
66794	IAA biosynthesis	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	cysteine metabolism	66.67	12 of 18
66794	tyrosine metabolism	64.29	9 of 14
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	carotenoid biosynthesis	63.64	14 of 22
66794	androgen and estrogen metabolism	62.5	10 of 16
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	arachidonate biosynthesis	60	3 of 5
66794	D-cycloserine biosynthesis	60	3 of 5
66794	lipoate biosynthesis	60	3 of 5
66794	histidine metabolism	58.62	17 of 29
66794	cholesterol biosynthesis	54.55	6 of 11
66794	polyamine pathway	52.17	12 of 23
66794	sphingosine metabolism	50	3 of 6
66794	ribulose monophosphate pathway	50	1 of 2
66794	quinate degradation	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	vitamin E metabolism	50	2 of 4
66794	lactate fermentation	50	2 of 4
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	glycine metabolism	50	5 of 10
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	phenylpropanoid biosynthesis	46.15	6 of 13
66794	chlorophyll metabolism	44.44	8 of 18
66794	lipid A biosynthesis	44.44	4 of 9
66794	arachidonic acid metabolism	44.44	8 of 18
66794	nitrate assimilation	44.44	4 of 9
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	ascorbate metabolism	40.91	9 of 22
66794	hydrogen production	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	creatinine degradation	40	2 of 5
66794	carnitine metabolism	37.5	3 of 8
66794	d-xylose degradation	36.36	4 of 11
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	catecholamine biosynthesis	25	1 of 4
66794	daunorubicin biosynthesis	22.22	2 of 9

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
123956	-	-	+	+	-	+	-	-	-	-	+	+	-	-	-	-	+	-	-	-

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
123956	not determinedn.d.	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	+	+	+	-	-	+	+	+	-	-	+	+	-	-	+	-	-	-	-	+	-	-	-	+	-	-	-	-	-	+	-	-	-	-	+	-	-	-	-	-	-	+	-	-	+	+	+	-	-	+	-	-	-	+	+	-	-	-	+	-	-	+	+	+	-	+	+	+	-	-	+	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Other	#Abscess
#Host Body-Site	#Other	#Head
#Host	#Human	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
36249		Switzerland	CHE	Europe
57551	Human post-surgical facial abscess	Switzerland	CHE	Europe
64151	human facial wound	Switzerland	CHE	Europe
67770	Post-surgical facial abscess	Switzerland	CHE	Europe
123956	Face	Switzerland	CHE	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
64151	2	Risk group (German classification)
123956	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM210196v1 assembly for Mycolicibacterium wolinskyi ATCC 700010	contig	GCA_002101965	59750.5	8111220848	59750	71.44
66792	ASM2582247v1 assembly for Mycolicibacterium wolinskyi CCUG 47168	scaffold	GCA_025822475	59750.11	8115310812	59750	65.9

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
64151	Mycolicibacterium wolinskyi strain ATCC 700010 16S ribosomal RNA gene, partial sequence	AY457083	1485	59750
67770	M.wolinsky 16S rRNA gene, strain ATCC 700010	Y12873	1413	59750
124043	Mycobacterium wolinskyi strain CIP 106348 16S ribosomal RNA gene, partial sequence.	AF547981	540	59750

GC content

@ref	GC-content (mol%)	Method
67770	66	high performance liquid chromatography (HPLC)
67770	66.4	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycolicibacterium wolinskyi CCUG 47168
NCBI: GCA_025822475

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	57.80	no
125439	motility	BacteriaNetⓘ	no	80.40	no
125439	gram_stain	BacteriaNetⓘ	positive	96.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium wolinskyi strain ATCC 700010
PATRIC: 59750.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.84	no
125438	anaerobic	anaerobicⓘ	no	98.23	no
125438	spore-forming	spore-formingⓘ	no	60.37	no
125438	aerobic	aerobicⓘ	yes	90.42	no
125438	thermophilic	thermophileⓘ	no	96.40	yes
125438	flagellated	motile2+ⓘ	no	87.60	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenomics and Comparative Genomic Studies Robustly Support Division of the Genus Mycobacterium into an Emended Genus Mycobacterium and Four Novel Genera.	Gupta RS, Lo B, Son J.	Front Microbiol	10.3389/fmicb.2018.00067	2018
	A Case Report of Refractory Mycobacterium wolinskyi Knee Infection in a Metabolic Syndrome Patient: mNGS Diagnosis and Pharmacist-Guided Therapy.	Shao M, Ni L, Jiang L, Hou J, Xu S, Lin Y, Xie X.	Infect Drug Resist	10.2147/idr.s542439	2025
	Catheter-related bloodstream Mycobacterium wolinskyi infection in an umbilical cord blood transplant recipient: a case report.	Muranaka E, Hase R, Utsu Y, Watari T, Otsuka Y, Hosokawa N.	BMC Infect Dis	10.1186/s12879-022-07495-z	2022
	Mycobacterium wolinskyi infection confirmed by rpoB gene sequencing.	Jeong JH, Seo YH, Kim KH, Ahn JY, Park PH, Park YK.	J Clin Lab Anal	10.1002/jcla.21526	2012
	First case report of infection by Mycobacterium wolinskyi after mammoplasty in Brazil.	Santos Lima A, Carneiro Neves MM, Machado Gomes K, Miranda Guarines K, Luna CF, Silva Duarte R, Lapa Montenegro LM, Charifker Schindler H.	Infect Dis Rep	10.4081/idr.2013.e12	2013
Enzymology	Facial skin and soft tissue infection caused by Mycobacterium wolinskyi associated with cosmetic procedures.	Yoo SJ, Lee KH, Jung SN, Heo ST.	BMC Infect Dis	10.1186/1471-2334-13-479	2013
	Mycobacterium jinjuensis sp. nov., a Novel Acid-Fast Bacterium Isolated from a Pneumonia Patient.	Trinh MP, Shin JI, Kim KM, Dao TO, Choi JG, Jung M, Kang HL, Baik SC, Lee WK, Byun JH, Shin MK.	Curr Microbiol	10.1007/s00284-025-04473-x	2025
Phylogeny	Mycobacterium appelbergii sp. nov., a Novel Species Isolated from a Drinking Water Fountain in a Rural Community.	Roxo IC, Alarico S, Fonseca A, Machado D, Maranha A, Tiago I, Duarte R, Empadinhas N.	Microorganisms	10.3390/microorganisms13061259	2025
Phylogeny	Mycobacterium wolinskyi sp. nov. and Mycobacterium goodii sp. nov., two new rapidly growing species related to Mycobacterium smegmatis and associated with human wound infections: a cooperative study from the International Working Group on Mycobacterial Taxonomy.	Brown BA, Springer B, Steingrube VA, Wilson RW, Pfyffer GE, Garcia MJ, Menendez MC, Rodriguez-Salgado B, Jost KC Jr, Chiu SH, Onyi GO, Bottger EC, Wallace RJ Jr	Int J Syst Bacteriol	10.1099/00207713-49-4-1493	1999

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 )
#36249	; Curators of the CIP;
#57551	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 47168
#64151	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44493
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68382	Automatically annotated from API zym .
#123956	Collection of Institut Pasteur ; Curators of the CIP; CIP 106348
#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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Mycobacterium wolinskyi (DSM 44493, ATCC 700010, CIP 106348)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Antibiotic resistance

Metabolite production

Enzymes

Pathway annotation

API zym

API biotype100

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002101965

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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