Nocardioides luteus (DSM 43366, ATCC 43052, DSM 43811)

Name: Nocardioides luteus (DSM 43366, ATCC 43052, DSM 43811)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11102

Type strain

Strain Designation 939-9

Culture col. no. DSM 43366 ATCC 43052 DSM 43811 IFO 14491 IMET 7830 11 more

NCBI tax ID(s) 1844

Special Collections DSMZ CCUG JCM KCTC CIP Wink compendium

History <- IMET <- H. Prauser, 939-9 IMET 7830 <-- H. Prauser 939-9. CIP <- 1986, NCIMB <- H. Prauser, IMET

Links

Nocardioides luteus 939-9 is an aerobe, mesophilic prokaryote that was isolated from soil.

aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 13982

LMG 16209,ATCC 43052,CIP 103450,DSM 43366,DSM 43811,IFO 14491,IMET 7830,JCM 3358,NCIMB 11455,VKM Ac-1246,NCIB 11455,CCUG 37986,KCTC 9575,NBRC 14491

@ref 20215

Last LPSN update 2026-02-09 11:20:26

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Propionibacteriales

Family Nocardioidaceae

Genus Nocardioides

Species Nocardioides luteus

Full scientific name Nocardioides luteus Prauser 1985

BacDive ID	Other strains from **Nocardioides luteus** (1)	Type strain
11103	N. luteus 71-N54, DSM 46114, IFO 14031, IFO 14396, ...

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.9
125438		90.6
125438	positive	90.039

Colony morphology

54000

Incubation period>3 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
10986	GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)	Medium recipe at MediaDive	Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water
40646	MEDIUM 57 - for Streptomyces, Nocardioides, Lentzea albidocapillata and Streptoverticillium reticulum		Distilled water make up to (1000.000 ml);Agar (15.000 g);Glucose (4.000g);Yeast extract (4.000 g);Malt extract (10.000 g);Calcium carbonate (2.000 g)
10986	R2A MEDIUM (DSMZ Medium 830)	Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water
120707	CIP Medium 57	Medium recipe at CIP
120707	CIP Medium 236	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
10986	positive	growth	28	mesophilic
18488	positive	optimum	30	mesophilic
40646	positive	growth	25	mesophilic
54000	positive	growth	37	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
54000	aerobe
125438	aerobe	91.703
125439	obligate aerobe	99.5

Observation

67770

Observationquinones: MK-8(H₄)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
18488	22599 ChEBI	arabinose	+
68368	29016 ChEBI	arginine	+	hydrolysis	from API 20E
18488	62968 ChEBI	cellulose	-
68368	16947 ChEBI	citrate	+	assimilation	from API 20E
18488	28757 ChEBI	fructose	+
68368	5291 ChEBI	gelatin	+	hydrolysis	from API 20E
18488	17234 ChEBI	glucose	+
68368	25094 ChEBI	lysine	+	degradation	from API 20E
18488	29864 ChEBI	mannitol	+
18488	17268 ChEBI	myo-inositol	-
68368	18257 ChEBI	ornithine	+	degradation	from API 20E
18488	16634 ChEBI	raffinose	-
18488	26546 ChEBI	rhamnose	-
18488	17992 ChEBI	sucrose	+
68368	27897 ChEBI	tryptophan	-	energy source	from API 20E
68368	16199 ChEBI	urea	+	hydrolysis	from API 20E
18488	18222 ChEBI	xylose	-

Metabolite production

@ref	Chebi-ID	Metabolite
68368	15688 ChEBI	acetoin	from API 20E
68368	16136 ChEBI	hydrogen sulfide	from API 20E
68368	35581 ChEBI	indole	from API 20E

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test	Indole test
68368	15688 ChEBI	acetoin	+		from API 20E
68368	35581 ChEBI	indole		-	from API 20E

Enzymes

@ref	Value	Activity	Ec
68368	arginine dihydrolase	+	3.5.3.6	from API 20E
68368	beta-galactosidase	+	3.2.1.23	from API 20E
68368	gelatinase	+		from API 20E
68368	lysine decarboxylase	+	4.1.1.18	from API 20E
68368	ornithine decarboxylase	+	4.1.1.17	from API 20E
68368	tryptophan deaminase	-	4.1.99.1	from API 20E
68368	urease	+	3.5.1.5	from API 20E

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	lipoate biosynthesis	100	5 of 5
66794	vitamin K metabolism	100	5 of 5
66794	methylglyoxal degradation	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	biotin biosynthesis	100	4 of 4
66794	urea cycle	100	13 of 13
66794	Entner Doudoroff pathway	100	10 of 10
66794	L-lactaldehyde degradation	100	3 of 3
66794	resorcinol degradation	100	2 of 2
66794	valine metabolism	100	9 of 9
66794	glycolate and glyoxylate degradation	100	6 of 6
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	enterobactin biosynthesis	100	3 of 3
66794	adipate degradation	100	2 of 2
66794	propanol degradation	100	7 of 7
66794	kanosamine biosynthesis II	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	acetate fermentation	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	palmitate biosynthesis	100	22 of 22
66794	taurine degradation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	ethylmalonyl-CoA pathway	100	5 of 5
66794	octane oxidation	100	3 of 3
66794	cellulose degradation	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	aerobactin biosynthesis	100	1 of 1
66794	NAD metabolism	94.44	17 of 18
66794	flavin biosynthesis	93.33	14 of 15
66794	pentose phosphate pathway	90.91	10 of 11
66794	phenol degradation	90	18 of 20
66794	threonine metabolism	90	9 of 10
66794	tryptophan metabolism	89.47	34 of 38
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
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	4-hydroxymandelate degradation	88.89	8 of 9
66794	isoleucine metabolism	87.5	7 of 8
66794	ketogluconate metabolism	87.5	7 of 8
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	citric acid cycle	85.71	12 of 14
66794	leucine metabolism	84.62	11 of 13
66794	phenylalanine metabolism	84.62	11 of 13
66794	alanine metabolism	82.76	24 of 29
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	proline metabolism	81.82	9 of 11
66794	purine metabolism	80.85	76 of 94
66794	gallate degradation	80	4 of 5
66794	factor 420 biosynthesis	80	4 of 5
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	propionate fermentation	80	8 of 10
66794	3-chlorocatechol degradation	80	4 of 5
66794	4-hydroxyphenylacetate degradation	80	8 of 10
66794	glycine betaine biosynthesis	80	4 of 5
66794	arginine metabolism	79.17	19 of 24
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	glutathione metabolism	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	methionine metabolism	76.92	20 of 26
66794	vitamin B12 metabolism	76.47	26 of 34
66794	pyrimidine metabolism	75.56	34 of 45
66794	glycogen biosynthesis	75	3 of 4
66794	cyclohexanol degradation	75	3 of 4
66794	gluconeogenesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	peptidoglycan biosynthesis	73.33	11 of 15
66794	d-xylose degradation	72.73	8 of 11
66794	histidine metabolism	72.41	21 of 29
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	non-pathway related	71.05	27 of 38
66794	glycolysis	70.59	12 of 17
66794	starch degradation	70	7 of 10
66794	vitamin B1 metabolism	69.23	9 of 13
66794	lipid metabolism	67.74	21 of 31
66794	methane metabolism	66.67	2 of 3
66794	sulfoquinovose degradation	66.67	2 of 3
66794	IAA biosynthesis	66.67	2 of 3
66794	3-phenylpropionate degradation	66.67	10 of 15
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	acetoin degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	cysteine metabolism	66.67	12 of 18
66794	oxidative phosphorylation	65.93	60 of 91
66794	metabolism of disaccharids	63.64	7 of 11
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	C4 and CAM-carbon fixation	62.5	5 of 8
66794	lysine metabolism	61.9	26 of 42
66794	degradation of hexoses	61.11	11 of 18
66794	degradation of pentoses	60.71	17 of 28
66794	glycogen metabolism	60	3 of 5
66794	D-cycloserine biosynthesis	60	3 of 5
66794	degradation of sugar acids	60	15 of 25
66794	bile acid biosynthesis, neutral pathway	58.82	10 of 17
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	tyrosine metabolism	57.14	8 of 14
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	pantothenate biosynthesis	50	3 of 6
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	sphingosine metabolism	50	3 of 6
66794	ribulose monophosphate pathway	50	1 of 2
66794	myo-inositol biosynthesis	50	5 of 10
66794	carnitine metabolism	50	4 of 8
66794	ethanol fermentation	50	1 of 2
66794	isoprenoid biosynthesis	50	13 of 26
66794	quinate degradation	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	glycine metabolism	50	5 of 10
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	sulfate reduction	46.15	6 of 13
66794	vitamin B6 metabolism	45.45	5 of 11
66794	cholesterol biosynthesis	45.45	5 of 11
66794	nitrate assimilation	44.44	4 of 9
66794	lipid A biosynthesis	44.44	4 of 9
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	ascorbate metabolism	40.91	9 of 22
66794	coenzyme M biosynthesis	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	chlorophyll metabolism	38.89	7 of 18
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	phosphatidylethanolamine bioynthesis	38.46	5 of 13
66794	polyamine pathway	34.78	8 of 23
66794	1,4-dihydroxy-6-naphthoate biosynthesis	33.33	2 of 6
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	vitamin E metabolism	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	carotenoid biosynthesis	22.73	5 of 22
66794	daunorubicin biosynthesis	22.22	2 of 9

API 20E

@ref	ONPG	ADH (Arg)	LDC (Lys)	ODC	CIT	H2S productionH2S	URE	TDA (Trp)	IND	Acetoin production (Voges Proskauer test)VP	GEL	GLU	MAN	INO	Sor	RHA	SAC	MEL	AMY	ARA	OX	Nitrite productionNO2	Reduction to N2N2	MotilityMOB	Growth on MacConkey mediumMAC	OF-O	OF-F
18488	+	+	+	+	+	-	+	-	-	+	+	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
10986	soil	Khartoum	Sudan	SDN	Africa
54000	Soil under Ficus	Khartoum	Sudan	SDN	Africa
67770	Soil
120707	Environment, Soil under Ficus	Khartoum	Sudan	SDN	Africa

Taxonmaps

69479

Global distribution of 16S sequence AF005007 (>99% sequence identity) for Nocardioides from Microbeatlas

Aquatic Samples	920
Soil Samples	9755
Animal Samples	2174
Plant Samples	2869
Total Samples	15718

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
10986	1	Risk group (German classification) According to TRBA 466
18488	1
120707	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
124043	ASM3145821v1 assembly for Nocardioides luteus DSM 43366	contig	GCA_031458215	1844.8	2923421364	1844	77.19
124043	ASM4243096v1 assembly for Nocardioides luteus JCM 3358	scaffold	GCA_042430965			1844	67.84
124043	ASM2792180v1 assembly for Nocardioides luteus VKM Ac-1246	scaffold	GCA_027921805	1844.7		1844	60.47
66792	ASM1464859v1 assembly for Nocardioides luteus JCM 3358	scaffold	GCA_014648595	1844.5		1844	57.02

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Nocardioides luteus 16S ribosomal RNA gene, partial sequence	AF005007	1469	1844
20218	Nocardioides luteus strain KCTC 9575 16S-23S internal transcribed spacer, complete sequence	AF017492	473	1844
20218	Nocardioides luteus partial 16S rRNA	X53212	1447	1844
124043	Nocardioides luteus strain JCM 3358 16S ribosomal RNA gene, partial sequence.	MT760455	1312	1844

GC content

@ref	GC-content (mol%)	Method
67770	67.5	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Nocardioides luteus JCM 3358
NCBI: GCA_014648595

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	57.40	no
125439	motility	BacteriaNetⓘ	no	80.40	no
125439	gram_stain	BacteriaNetⓘ	positive	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Nocardioides luteus JCM 3358
NCBI: GCA_014648595.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.04	no
125438	anaerobic	anaerobicⓘ	no	99.19	yes
125438	aerobic	aerobicⓘ	yes	91.70	yes
125438	spore-forming	spore-formingⓘ	yes	62.02	no
125438	thermophilic	thermophileⓘ	no	95.11	no
125438	flagellated	motile2+ⓘ	no	90.60	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	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
	Detection of antibiotic-producing Actinobacteria in the sediment and water of Ma'in thermal springs (Jordan).	Hussein EI, Jacob JH, Shakhatreh MAK, Al-Razaq MAA, Juhmani AF, Cornelison CT.	Germs	10.18683/germs.2018.1146	2018
	Metabolic characterization of alkane monooxygenases and the growth phenotypes of Pseudomonas aeruginosa ATCC 33988 on hydrocarbons.	Gunasekera TS, Bowen LL, Alger JC.	J Bacteriol	10.1128/jb.00508-24	2025
	Rokubacteria in Northern Peatlands: Habitat Preferences and Diversity Patterns.	Ivanova AA, Oshkin IY, Danilova OV, Philippov DA, Ravin NV, Dedysh SN.	Microorganisms	10.3390/microorganisms10010011	2021
Metabolism	Conversion of 7-deoxy-10-deacetylbaccatin-III into 6-alpha-hydroxy-7-deoxy-10-deacetylbaccatin-III by Nocardioides luteus.	Hanson RL, Kant J, Patel RN.	Biotechnol Appl Biochem	10.1042/ba20030093	2004
Metabolism	Characterization of JP-7 jet fuel degradation by the bacterium Nocardioides luteus strain BAFB.	Jung CM, Broberg C, Giuliani J, Kirk LL, Hanne LF.	J Basic Microbiol	10.1002/1521-4028(200205)42:2<127::aid-jobm127>3.0.co;2-c	2002
	Cross-Bioaugmentation Among Four Remote Soil Samples Contaminated With Oil Exerted Just Inconsistent Effects on Oil-Bioremediation.	Al-Mailem DM, Kansour MK, Radwan SS.	Front Microbiol	10.3389/fmicb.2019.02827	2019
	Bioaugmentation failed to enhance oil bioremediation in three soil samples from three different continents.	Radwan SS, Al-Mailem DM, Kansour MK.	Sci Rep	10.1038/s41598-019-56099-2	2019
	Fermentation and isolation of C10-deacetylase for the production of 10-deacetylbaccatin III from baccatin III.	Nanduri VB, Hanson RL, Laporte TL, Ko RY, Patel RN, Szarka LJ.	Biotechnol Bioeng	10.1002/bit.260480518	1995
Enzymology	Application of multiplex PCR using species-specific primers within the 16S rRNA gene for rapid identification of Nocardioides strains.	Park YH, Yoon JH, Lee ST.	Int J Syst Bacteriol	10.1099/00207713-48-3-895	1998
	Genetic analyses of the genus Nocardioides and related taxa based on 16S-23S rDNA internally transcribed spacer sequences.	Yoon HJ, Lee ST, Park YH.	Int J Syst Bacteriol	10.1099/00207713-48-3-641	1998
Genetics	New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes.	Kroeger ME, Delmont TO, Eren AM, Meyer KM, Guo J, Khan K, Rodrigues JLM, Bohannan BJM, Tringe SG, Borges CD, Tiedje JM, Tsai SM, Nusslein K.	Front Microbiol	10.3389/fmicb.2018.01635	2018
Metabolism	Site-specific enzymatic hydrolysis of taxanes at C-10 and C-13.	Hanson RL, Wasylyk JM, Nanduri VB, Cazzulino DL, Patel RN, Szarka LJ.	J Biol Chem	10.1016/s0021-9258(17)31767-2	1994
Genetics	Genome-wide analysis of horizontally acquired genes in the genus Mycobacterium.	Panda A, Drancourt M, Tuller T, Pontarotti P.	Sci Rep	10.1038/s41598-018-33261-w	2018
Enzymology	Renibacterium salmoninarum, the causative agent of bacterial kidney disease in salmonid fish, detected by nested reverse transcription-PCR of 16S rRNA sequences.	Magnusson HB, Fridjonsson OH, Andresson OS, Benediktsdottir E, Gudmundsdottir S, Andresdottir V.	Appl Environ Microbiol	10.1128/aem.60.12.4580-4583.1994	1994
Genetics	Structure of a teichoic acid from Nocardioides luteus VKM Ac-1246T cell wall.	Shashkov AS, Tul'skaya EM, Evtushenko LI, Gratchev AA, Naumova IB	Biochemistry (Mosc)	BCM65040598	2000
Phylogeny	Inter- and intraspecific phylogenetic analysis of the genus Nocardioides and related taxa based on 16S rDNA sequences.	Yoon JH, Lee ST, Park YH	Int J Syst Bacteriol	10.1099/00207713-48-1-187	1998
Genetics	Polyphasic characterization and genomic insights into Nocardioides turkmenicus sp. nov. isolated from a desert soil.	Saygin H, Guven K, Cetin D, Sahin N.	Antonie Van Leeuwenhoek	10.1007/s10482-023-01920-2	2024
Genetics	Noncontiguous finished genome sequence and description of Nocardioides massiliensis sp. nov. GD13(T).	Dubourg G, Sankar SA, Rathored J, Lagier JC, Robert C, Couderc C, Papazian L, Raoult D, Fournier PE.	New Microbes New Infect	10.1016/j.nmni.2016.01.001	2016
Phylogeny	Nocardioides albertanoniae sp. nov., isolated from Roman catacombs.	Alias-Villegas C, Jurado V, Laiz L, Miller AZ, Saiz-Jimenez C	Int J Syst Evol Microbiol	10.1099/ijs.0.043885-0	2012
Phylogeny	Nocardioides panzhihuaensis sp. nov., a novel endophytic actinomycete isolated from medicinal plant Jatropha curcas L.	Qin S, Yuan B, Zhang YJ, Bian GK, Tamura T, Sun BZ, Li WJ, Jiang JH	Antonie Van Leeuwenhoek	10.1007/s10482-012-9745-8	2012
Phylogeny	Nocardioides aestuarii sp. nov., isolated from tidal flat sediment.	Yi H, Chun J	Int J Syst Evol Microbiol	10.1099/ijs.0.63192-0	2004

References

#10986	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43366
#18488	Wink, J.: Compendium of Actinobacteria. HZI-Helmholtz-Centre for Infection Research, Braunschweig .
#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 )
#40646	; Curators of the CIP;
#54000	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 37986
#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;
#68368	Automatically annotated from API 20E .
#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 .
#120707	Collection of Institut Pasteur ; Curators of the CIP; CIP 103450
#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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Nocardioides luteus (DSM 43366, ATCC 43052, DSM 43811)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API 20E

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_031458215

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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