Corynebacterium doosanense (DSM 45436, CCUG 57284, KCTC 19568)

Name: Corynebacterium doosanense (DSM 45436, CCUG 57284, KCTC 19568)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3235

Type strain

Culture col. no. DSM 45436 CCUG 57284 KCTC 19568 JCM 17317 CAU 212

NCBI tax ID(s) 558173 1121358

Special Collections DSMZ CCUG JCM KCTC Literature strains

History DSMZ <- CCUG; CCUG 57284 JCM <-- CCUG 57284 <-- W. Kim CAU 212. KCTC <- WY Kim, Chung-Ang Univ.

Links

Corynebacterium doosanense DSM 45436 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from activated sludge taken from a wastewater treatment plant.

Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 364660

KCTC 19568,CCUG 57284,JCM 17317,DSM 45436

@ref 20215

Last LPSN update 2026-05-29 08:25:39

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Species Corynebacterium doosanense

Full scientific name Corynebacterium doosanense Lee et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29279	positive	1.1 µm	0.9 µm	rod-shaped
67771	positive
125439					93.592
125439	positive				96.724
125438					92.5
125438	positive				93.661

Colony morphology

61273

Incubation period2 days

Pigmentation

29279

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16814	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
16814	TRYPTICASE SOY BROTH AGAR+BLOOD (DSMZ Medium 535a)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR+BLOOD (DSMZ Medium 535a) Composition: None 50.0 g/l Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
16814	positive	growth	28
61273	positive	growth	30
67770	positive	growth	28
67771	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29279	aerobe
61273	aerobe
67771	aerobe
125439	facultative anaerobe	94.861

Spore formation

29279

Spore formationno

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29279	17234 ChEBI	glucose	+	carbon source
29279	17632 ChEBI	nitrate	+	reduction

Enzymes

@ref	Value	Activity	Ec
29279	catalase	+	1.11.1.6
29279	cytochrome oxidase	+	1.9.3.1
29279	pyrazinamidase	+	3.5.1.B15

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	coenzyme A metabolism	100	4 of 4
66794	lipoate biosynthesis	100	5 of 5
66794	phenylmercury acetate degradation	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	formaldehyde oxidation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	cyanate degradation	100	3 of 3
66794	vitamin K metabolism	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	denitrification	100	2 of 2
66794	ceramide biosynthesis	100	1 of 1
66794	palmitate biosynthesis	100	22 of 22
66794	acetate fermentation	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	starch degradation	90	9 of 10
66794	threonine metabolism	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	isoleucine metabolism	87.5	7 of 8
66794	photosynthesis	85.71	12 of 14
66794	propanol degradation	85.71	6 of 7
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	pentose phosphate pathway	81.82	9 of 11
66794	propionate fermentation	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	flavin biosynthesis	80	12 of 15
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	serine metabolism	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	gluconeogenesis	75	6 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	ketogluconate metabolism	75	6 of 8
66794	metabolism of disaccharids	72.73	8 of 11
66794	alanine metabolism	72.41	21 of 29
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	glycolysis	70.59	12 of 17
66794	purine metabolism	70.21	66 of 94
66794	isoprenoid biosynthesis	69.23	18 of 26
66794	vitamin B1 metabolism	69.23	9 of 13
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	4-hydroxymandelate degradation	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	oxidative phosphorylation	65.93	60 of 91
66794	histidine metabolism	65.52	19 of 29
66794	lipid metabolism	64.52	20 of 31
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	glutathione metabolism	64.29	9 of 14
66794	proline metabolism	63.64	7 of 11
66794	pyrimidine metabolism	62.22	28 of 45
66794	methionine metabolism	61.54	16 of 26
66794	leucine metabolism	61.54	8 of 13
66794	NAD metabolism	61.11	11 of 18
66794	methylglyoxal degradation	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	non-pathway related	57.89	22 of 38
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	d-mannose degradation	55.56	5 of 9
66794	nitrate assimilation	55.56	5 of 9
66794	cysteine metabolism	55.56	10 of 18
66794	tryptophan metabolism	55.26	21 of 38
66794	arginine metabolism	54.17	13 of 24
66794	urea cycle	53.85	7 of 13
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	CMP-KDO biosynthesis	50	2 of 4
66794	cyclohexanol degradation	50	2 of 4
66794	lysine metabolism	50	21 of 42
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	sulfate reduction	46.15	6 of 13
66794	vitamin B6 metabolism	45.45	5 of 11
66794	phenol degradation	45	9 of 20
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	arachidonate biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	cholesterol biosynthesis	36.36	4 of 11
66794	tyrosine metabolism	35.71	5 of 14
66794	methane metabolism	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	3-phenylpropionate degradation	33.33	5 of 15
66794	lipid A biosynthesis	33.33	3 of 9
66794	degradation of sugar alcohols	31.25	5 of 16
66794	coenzyme M biosynthesis	30	3 of 10
66794	Entner Doudoroff pathway	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	degradation of sugar acids	28	7 of 25
66794	degradation of hexoses	27.78	5 of 18
66794	chlorophyll metabolism	27.78	5 of 18
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	ascorbate metabolism	27.27	6 of 22
66794	toluene degradation	25	1 of 4
66794	degradation of pentoses	25	7 of 28
66794	biotin biosynthesis	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	vitamin B12 metabolism	23.53	8 of 34

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Activated sludge
#Engineered	#Waste	#Water treatment plant

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
16814	activated sludge taken from a wastewater treatment plant		Yeongdeuk-gun	Republic of Korea	KOR	Asia
61273	Activated sludge	2007-03-01	Yeongdeuk-gun	Republic of Korea	KOR	Asia
67770	Activated sludge from a wastewater treatment plant		Yeongdeuk-gun	Republic of Korea	KOR	Asia
67771	From waste water		Yeongdeok-Gun	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU998655 (>99% sequence identity) for Corynebacterium doosanense subclade from Microbeatlas

Aquatic Samples	142
Soil Samples	98
Animal Samples	1841
Plant Samples	66
Total Samples	2147

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16814	1	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	ASM76705v1 assembly for Corynebacterium doosanense CAU 212 = DSM 45436	complete	GCA_000767055	558173.4	2639762811	558173	99.03
67770	ASM37224v1 assembly for Corynebacterium doosanense CAU 212 = DSM 45436	contig	GCA_000372245	558173.3	2515154029	558173	71.23

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16814	Corynebacterium sp. CAU 212 16S ribosomal RNA gene, partial sequence	EU998655	1494		558173

GC content

@ref	GC-content (mol%)	Method
16814	53.5
67770	53.5	thermal denaturation, midpoint method (Tm)
67770	66.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM76705v1 assembly for Corynebacterium doosanense CAU 212 = DSM 45436
BV-BRC: 558173.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	94.86	no
125439	gram_stain	BacteriaNetⓘ	positive	96.72	no
125439	motility	BacteriaNetⓘ	no	93.59	no
125439	spore_formation	BacteriaNetⓘ	no	88.36	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium doosanense CAU 212 = DSM 45436 CAU 212
NCBI: GCA_000767055.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	93.66	yes
125438	anaerobic	anaerobicⓘ	no	94.95	yes
125438	aerobic	aerobicⓘ	yes	71.02	yes
125438	spore-forming	spore-formingⓘ	no	80.51	yes
125438	thermophilic	thermophileⓘ	no	93.50	yes
125438	flagellated	motile2+ⓘ	no	92.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Metagenomic analysis of soybean endosphere microbiome to reveal signatures of microbes for health and disease.	Chouhan U, Gamad U, Choudhari JK.	J Genet Eng Biotechnol	10.1186/s43141-023-00535-4	2023
	Coordinated conformational changes in P450 decarboxylases enable hydrocarbons production from renewable feedstocks.	Generoso WC, Alvarenga AHS, Simoes IT, Miyamoto RY, Melo RR, Guilherme EPX, Mandelli F, Santos CA, Prata R, Santos CRD, Colombari FM, Morais MAB, Pimentel Fernandes R, Persinoti GF, Murakami MT, Zanphorlin LM.	Nat Commun	10.1038/s41467-025-56256-4	2025
	Alterations in lung and gut microbiota reduce diversity in patients with nontuberculous mycobacterial pulmonary disease.	Choi JY, Shim B, Park Y, Kang YA.	Korean J Intern Med	10.3904/kjim.2023.097	2023
	Tissue-specific diversity of bacterial endophytes in Mexican husk tomato plants (Physalis ixocarpa Brot. ex Horm.), and screening for their multiple plant growth-promoting activities.	Hernandez-Pacheco CE, Orozco-Mosqueda MDC, Flores A, Valencia-Cantero E, Santoyo G.	Curr Res Microb Sci	10.1016/j.crmicr.2021.100028	2021
Metabolism	A hyperpromiscuous antitoxin protein domain for the neutralization of diverse toxin domains.	Kurata T, Saha CK, Buttress JA, Mets T, Brodiazhenko T, Turnbull KJ, Awoyomi OF, Oliveira SRA, Jimmy S, Ernits K, Delannoy M, Persson K, Tenson T, Strahl H, Hauryliuk V, Atkinson GC.	Proc Natl Acad Sci U S A	10.1073/pnas.2102212119	2022
Pathogenicity	The structural basis of hyperpromiscuity in a core combinatorial network of type II toxin-antitoxin and related phage defense systems.	Ernits K, Saha CK, Brodiazhenko T, Chouhan B, Shenoy A, Buttress JA, Duque-Pedraza JJ, Bojar V, Nakamoto JA, Kurata T, Egorov AA, Shyrokova L, Johansson MJO, Mets T, Rustamova A, Dzigurski J, Tenson T, Garcia-Pino A, Strahl H, Elofsson A, Hauryliuk V, Atkinson GC.	Proc Natl Acad Sci U S A	10.1073/pnas.2305393120	2023
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	Corynebacterium doosanense sp. nov., isolated from activated sludge.	Lee HJ, Cho SL, Jung MY, Van Nguyen TH, Jung YC, Park HK, Le VP, Kim W	Int J Syst Evol Microbiol	10.1099/ijs.0.010108-0	2009

References

#16814	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45436
#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 )
#25695	IJSEM 2734 2009 ( DOI 10.1099/ijs.0.010108-0 , PubMed 19625432 )
#29279	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25695
#61273	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 57284
#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;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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 )

Rate our new design

Content

About us

Corynebacterium doosanense (DSM 45436, CCUG 57284, KCTC 19568)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000767055

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media