Luteibaculum oceani (JCM 18817, BCRC 80551, CC-AMWY-103B)

Name: Luteibaculum oceani (JCM 18817, BCRC 80551, CC-AMWY-103B)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134069

Type strain

Strain Designation CC-AMWY-103B

Culture col. no. JCM 18817 BCRC 80551 CC-AMWY-103B

NCBI tax ID(s) 1294296

Special Collections JCM Literature strains

History C.-C. Young CC-AMWY-103B.

Links

Luteibaculum oceani CC-AMWY-103B is an aerobe, Gram-negative, motile bacterium that was isolated from seawater.

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

Name and taxonomic classification

SI-ID 286387

BCRC 80551,JCM 18817

@ref 20215

Last LPSN update 2026-02-09 11:32:06

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Cryomorphaceae

Genus Luteibaculum

Species Luteibaculum oceani

Full scientific name Luteibaculum oceani Shahina et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Flagellum arrangement	Confidence
31167	negative	1.6 µm	0.4 µm	rod-shaped	gliding
125438						90.552
125438	negative					97.459
125439	negative					99.6

Pigmentation

31167

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
31167	positive	growth	20-35
31167	positive	optimum	30
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH
31167	positive	optimum	7
31167	positive	growth	6.0-8.0

Physiology and metabolism

Oxygen tolerance

31167

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
31167
125438		92.994
125439		99.1

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31167	NaCl	positive	growth	01-05 %
31167	NaCl	positive	optimum	2 %

Observation

@ref	Observation
31167	aggregates in clumps
67770	quinones: MK-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31167	40585 ChEBI	alpha-cyclodextrin	+	carbon source
31167	4853 ChEBI	esculin	+	hydrolysis
31167	29987 ChEBI	glutamate	+	carbon source
31167	37657 ChEBI	methyl D-glucoside	+	carbon source
31167	17632 ChEBI	nitrate	+	reduction
31167	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31167	acid phosphatase	+	3.1.3.2
31167	alkaline phosphatase	+	3.1.3.1
31167	gelatinase	+

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	sulfopterin metabolism	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	adipate degradation	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	kanosamine biosynthesis II	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	biotin biosynthesis	100	4 of 4
66794	glycine betaine biosynthesis	100	5 of 5
66794	octane oxidation	100	3 of 3
66794	serine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	gluconeogenesis	87.5	7 of 8
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	peptidoglycan biosynthesis	80	12 of 15
66794	methylglyoxal degradation	80	4 of 5
66794	vitamin K metabolism	80	4 of 5
66794	cellulose degradation	80	4 of 5
66794	citric acid cycle	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	phenylalanine metabolism	76.92	10 of 13
66794	acetate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	alanine metabolism	72.41	21 of 29
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	propionate fermentation	70	7 of 10
66794	threonine metabolism	70	7 of 10
66794	purine metabolism	69.15	65 of 94
66794	lysine metabolism	69.05	29 of 42
66794	histidine metabolism	68.97	20 of 29
66794	lipid metabolism	67.74	21 of 31
66794	flavin biosynthesis	66.67	10 of 15
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	NAD metabolism	66.67	12 of 18
66794	d-mannose degradation	66.67	6 of 9
66794	tryptophan metabolism	65.79	25 of 38
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	pyrimidine metabolism	64.44	29 of 45
66794	heme metabolism	64.29	9 of 14
66794	vitamin B6 metabolism	63.64	7 of 11
66794	proline metabolism	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	cysteine metabolism	55.56	10 of 18
66794	pentose phosphate pathway	54.55	6 of 11
66794	methionine metabolism	53.85	14 of 26
66794	glycolysis	52.94	9 of 17
66794	non-pathway related	52.63	20 of 38
66794	isoleucine metabolism	50	4 of 8
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	ketogluconate metabolism	50	4 of 8
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	phenylmercury acetate degradation	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	Entner Doudoroff pathway	50	5 of 10
66794	coenzyme M biosynthesis	50	5 of 10
66794	butanoate fermentation	50	2 of 4
66794	leucine metabolism	46.15	6 of 13
66794	oxidative phosphorylation	45.05	41 of 91
66794	glutathione metabolism	42.86	6 of 14
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	propanol degradation	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	carotenoid biosynthesis	40.91	9 of 22
66794	D-cycloserine biosynthesis	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	starch degradation	40	4 of 10
66794	polyamine pathway	34.78	8 of 23
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	formaldehyde oxidation	33.33	1 of 3
66794	3-phenylpropionate degradation	33.33	5 of 15
66794	cyanate degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	arginine metabolism	33.33	8 of 24
66794	pantothenate biosynthesis	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	urea cycle	30.77	4 of 13
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	sulfate reduction	23.08	3 of 13
66794	valine metabolism	22.22	2 of 9
66794	degradation of hexoses	22.22	4 of 18
66794	degradation of pentoses	21.43	6 of 28

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
31167	seawater
67770	Surface seawater at Kending	Taiwan, Province of China	TWN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM799501v1 assembly for Luteibaculum oceani JCM 18817	contig	GCA_007995015	1294296.4	2886904261	1294296	67.82

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31167	Luteibaculum oceani strain CC-AMWY-103B 16S ribosomal RNA gene, partial sequence	KC169812	1453		1294296

GC content

@ref	GC-content (mol%)	Method
31167	44.2
67770	43.9-44.5	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: Luteibaculum oceani JCM 18817
NCBI: GCA_007995015

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	77.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	motility	BacteriaNetⓘ	no	68.10	no
125439	spore_formation	BacteriaNetⓘ	no	99.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Luteibaculum oceani strain JCM 18817
PATRIC: 1294296.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.46	yes
125438	anaerobic	anaerobicⓘ	no	95.32	yes
125438	spore-forming	spore-formingⓘ	no	92.99	yes
125438	aerobic	aerobicⓘ	yes	84.38	yes
125438	thermophilic	thermophileⓘ	no	94.24	yes
125438	flagellated	motile2+ⓘ	no	90.55	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Vicingus serpentipes gen. nov., sp. nov., a new member of the Flavobacteriales from the North Sea.	Wiese J, Saha M, Wenzel-Storjohann A, Weinberger F, Schmaljohann R, Imhoff JF	Int J Syst Evol Microbiol	10.1099/ijsem.0.002509	2017
Phylogeny	Luteibaculum oceani gen. nov., sp. nov., a carotenoid-producing, lipolytic bacterium isolated from surface seawater, and emended description of the genus Owenweeksia Lau et al. 2005.	Shahina M, Hameed A, Lin SY, Lai WA, Liu YC, Hsu YH, Young CC	Int J Syst Evol Microbiol	10.1099/ijs.0.054635-0	2013

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 )
#27495	IJSEM 4765 2013 ( DOI 10.1099/ijs.0.054635-0 , PubMed 23990655 )
#31167	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 #27495
#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;
#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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Luteibaculum oceani (JCM 18817, BCRC 80551, CC-AMWY-103B)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_007995015

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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