Jannaschia seohaensis (DSM 25227, CCUG 55326, KCTC 22172)

Name: Jannaschia seohaensis (DSM 25227, CCUG 55326, KCTC 22172)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13668

Type strain

Strain Designation SMK-146

Culture col. no. DSM 25227 CCUG 55326 KCTC 22172 SMK-146

NCBI tax ID(s) 475081

Special Collections DSMZ CCUG KCTC Literature strains

History <- CCUG <- J. H. Joon, Korea Res. Inst. Biosci. & Biotechnol. (KRIBB), Taejon, South Korea

Links

Jannaschia seohaensis SMK-146 is an aerobe, Gram-negative, motile bacterium that was isolated from tidal flat sediment.

Gram-negative motile rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 406127

KCTC 22172,DSM 25227,CCUG 55326

@ref 20215

Last LPSN update 2026-02-09 11:21:12

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Jannaschia

Species Jannaschia seohaensis

Full scientific name Jannaschia seohaensis Yoon et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29344	negative	2 µm	1 µm	rod-shaped
125438	negative				97.833
125439	negative				94.9

Colony morphology

@ref	Incubation period
17948	1-2 days
60528	2 days

Pigmentation

29344

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17948	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17948	positive	growth	30
29344	positive	growth	04-43
29344	positive	optimum	30
60528	positive	growth	30

Culture pH

@ref	Ability	Type	PH
29344	positive	optimum	7.5
29344	positive	growth	5.5-8

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29344	aerobe
60528	aerobe
125439	obligate aerobe	90.7

Spore formation

@ref	Spore formation	Confidence
125439		95.4

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
29344	22599 ChEBI	arabinose	+	carbon source
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
68369	17634 ChEBI	D-glucose	-	assimilation	from API 20NE
68369	17634 ChEBI	D-glucose	-	fermentation	from API 20NE
68369	16899 ChEBI	D-mannitol	-	assimilation	from API 20NE
68369	16024 ChEBI	D-mannose	-	assimilation	from API 20NE
68369	27689 ChEBI	decanoate	-	assimilation	from API 20NE
29344	4853 ChEBI	esculin	+	hydrolysis
68369	4853 ChEBI	esculin	+	hydrolysis	from API 20NE
68369	5291 ChEBI	gelatin	+	hydrolysis	from API 20NE
68369	24265 ChEBI	gluconate	-	assimilation	from API 20NE
68369	30849 ChEBI	L-arabinose	-	assimilation	from API 20NE
68369	25115 ChEBI	malate	-	assimilation	from API 20NE
68369	17306 ChEBI	maltose	-	assimilation	from API 20NE
68369	59640 ChEBI	N-acetylglucosamine	-	assimilation	from API 20NE
68369	17632 ChEBI	nitrate	+	reduction	from API 20NE
68369	27897 ChEBI	tryptophan	-	energy source	from API 20NE
68369	16199 ChEBI	urea	+	hydrolysis	from API 20NE

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68369	35581 ChEBI	indole		from API 20NE

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68369	35581 ChEBI	indole	-	from API 20NE

Enzymes

@ref	Value	Activity	Ec
68369	arginine dihydrolase	-	3.5.3.6	from API 20NE
68369	beta-glucosidase	+	3.2.1.21	from API 20NE
17948	catalase	+	1.11.1.6
68369	cytochrome oxidase	+	1.9.3.1	from API 20NE
17948	cytochrome-c oxidase	+	1.9.3.1
68369	gelatinase	+		from API 20NE
68369	urease	+	3.5.1.5	from API 20NE

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	degradation of aromatic, nitrogen containing compounds	100	12 of 12
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	allantoin degradation	100	9 of 9
66794	ethylmalonyl-CoA pathway	100	5 of 5
66794	Entner Doudoroff pathway	100	10 of 10
66794	CMP-KDO biosynthesis	100	4 of 4
66794	ethanol fermentation	100	2 of 2
66794	octane oxidation	100	3 of 3
66794	adipate degradation	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	L-lactaldehyde degradation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	citric acid cycle	100	14 of 14
66794	molybdenum cofactor biosynthesis	100	9 of 9
66794	phenylacetate degradation (aerobic)	100	5 of 5
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	gluconeogenesis	100	8 of 8
66794	teichoic acid biosynthesis	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	formaldehyde oxidation	100	3 of 3
66794	ceramide biosynthesis	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	taurine degradation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	phenylalanine metabolism	92.31	12 of 13
66794	leucine metabolism	92.31	12 of 13
66794	pentose phosphate pathway	90.91	10 of 11
66794	4-hydroxymandelate degradation	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	ketogluconate metabolism	87.5	7 of 8
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	purine metabolism	85.11	80 of 94
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	NAD metabolism	83.33	15 of 18
66794	alanine metabolism	82.76	24 of 29
66794	vitamin B12 metabolism	82.35	28 of 34
66794	pyrimidine metabolism	82.22	37 of 45
66794	degradation of pentoses	82.14	23 of 28
66794	proline metabolism	81.82	9 of 11
66794	degradation of sugar alcohols	81.25	13 of 16
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	threonine metabolism	80	8 of 10
66794	hydrogen production	80	4 of 5
66794	degradation of sugar acids	80	20 of 25
66794	tyrosine metabolism	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	lipid metabolism	77.42	24 of 31
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	arginine metabolism	75	18 of 24
66794	acetate fermentation	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	carnitine metabolism	75	6 of 8
66794	isoleucine metabolism	75	6 of 8
66794	methionine metabolism	73.08	19 of 26
66794	propanol degradation	71.43	5 of 7
66794	glutathione metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	starch degradation	70	7 of 10
66794	propionate fermentation	70	7 of 10
66794	sulfate reduction	69.23	9 of 13
66794	urea cycle	69.23	9 of 13
66794	tryptophan metabolism	68.42	26 of 38
66794	oxidative phosphorylation	68.13	62 of 91
66794	methane metabolism	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	cyanate degradation	66.67	2 of 3
66794	cysteine metabolism	66.67	12 of 18
66794	acetoin degradation	66.67	2 of 3
66794	IAA biosynthesis	66.67	2 of 3
66794	non-pathway related	65.79	25 of 38
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	polyamine pathway	65.22	15 of 23
66794	phenol degradation	65	13 of 20
66794	glycolysis	64.71	11 of 17
66794	vitamin B6 metabolism	63.64	7 of 11
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	phosphatidylethanolamine bioynthesis	61.54	8 of 13
66794	vitamin B1 metabolism	61.54	8 of 13
66794	coenzyme M biosynthesis	60	6 of 10
66794	gallate degradation	60	3 of 5
66794	histidine metabolism	58.62	17 of 29
66794	lysine metabolism	57.14	24 of 42
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	arachidonic acid metabolism	55.56	10 of 18
66794	nitrate assimilation	55.56	5 of 9
66794	degradation of hexoses	55.56	10 of 18
66794	d-mannose degradation	55.56	5 of 9
66794	metabolism of disaccharids	54.55	6 of 11
66794	3-phenylpropionate degradation	53.33	8 of 15
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	resorcinol degradation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	ribulose monophosphate pathway	50	1 of 2
66794	quinate degradation	50	1 of 2
66794	biotin biosynthesis	50	2 of 4
66794	lactate fermentation	50	2 of 4
66794	selenocysteine biosynthesis	50	3 of 6
66794	toluene degradation	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	chlorophyll metabolism	50	9 of 18
66794	d-xylose degradation	45.45	5 of 11
66794	dolichyl-diphosphooligosaccharide biosynthesis	45.45	5 of 11
66794	aclacinomycin biosynthesis	42.86	3 of 7
66794	D-cycloserine biosynthesis	40	2 of 5
66794	vitamin K metabolism	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	factor 420 biosynthesis	40	2 of 5
66794	glycine betaine biosynthesis	40	2 of 5
66794	creatinine degradation	40	2 of 5
66794	3-chlorocatechol degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	ascorbate metabolism	36.36	8 of 22
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	myo-inositol biosynthesis	30	3 of 10
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	mevalonate metabolism	28.57	2 of 7
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	alginate biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	methanogenesis from CO2	25	3 of 12
66794	carotenoid biosynthesis	22.73	5 of 22

API 20NE

@ref	Reduction of nitratesNO3	TRP	GLU_ Ferm	ADH (Arg)	URE	ESC	GEL	PNPG	GLU_ Assim	ARA	MNE	MAN	NAG	MAL	GNT	CAP	ADI	MLT	CIT	PAC	OX
17948	+	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	-	-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Tidal flat
#Environmental	#Terrestrial	#Sediment

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
17948	tidal flat sediment		Saemankum, Yellow Sea	Republic of Korea	KOR	Asia
60528	Tidal flat sediment	2005	Saemankum,Yellow Sea	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU156067 (>99% sequence identity) for Jannaschia seohaensis subclade from Microbeatlas

Aquatic Samples	110
Soil Samples	10
Animal Samples	18
Plant Samples
Total Samples	138

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17948	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	ASM314926v1 assembly for Jannaschia seohaensis DSM 25227	contig	GCA_003149265	475081.3	2675903158	475081	72.02
66792	IMG-taxon 2675903158 annotated assembly for Jannaschia seohaensis DSM 25227	contig	GCA_900116765	475081.4		475081	71.83

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17948	Jannaschia seohaensis strain SMK-146 16S ribosomal RNA gene, partial sequence	EU156067	1418		475081

GC content

@ref	GC-content (mol%)	Method
17948	68.4	high performance liquid chromatography (HPLC)
29344	68.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Jannaschia seohaensis DSM 25227
NCBI: GCA_900116765

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.40	no
125439	motility	BacteriaNetⓘ	yes	59.40	no
125439	gram_stain	BacteriaNetⓘ	negative	94.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	90.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Jannaschia seohaensis strain DSM 25227
PATRIC: 475081.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.83	yes
125438	anaerobic	anaerobicⓘ	no	94.07	yes
125438	spore-forming	spore-formingⓘ	no	89.70	no
125438	aerobic	aerobicⓘ	yes	83.58	yes
125438	thermophilic	thermophileⓘ	no	95.89	no
125438	flagellated	motile2+ⓘ	yes	63.84	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Draft Genome Sequences of Putative Aerobic Anoxygenic Phototrophic Bacterial Strains Jannaschia sp. Strains AI_61 and AI_62, Isolated from Seawater around a Coastal Aquaculture Area.	Sato-Takabe Y, Nakajima Y, Suzuki S, Sekiguchi K, Hanada S, Shiozaki T.	Microbiol Resour Announc	10.1128/mra.00491-21	2021
Phylogeny	Jannaschia formosa sp. nov., isolated from marine saltern sediment.	Zhang R, Wang C, Wang XT, Mu DS, Du ZJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.003424	2019
Phylogeny	Jannaschia seohaensis sp. nov., isolated from a tidal flat sediment.	Yoon JH, Kang SJ, Park S, Oh KH, Oh TK	Int J Syst Evol Microbiol	10.1099/ijs.0.011270-0	2009

References

#17948	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25227
#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 )
#25756	IJSEM 191 2010 ( DOI 10.1099/ijs.0.011270-0 , PubMed 19648318 )
#29344	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 #25756
#60528	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55326
#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 )
#68369	Automatically annotated from API 20NE .
#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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Jannaschia seohaensis (DSM 25227, CCUG 55326, KCTC 22172)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API 20NE

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003149265

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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