Aurantiacibacter gangjinensis (KCTC 22330, JCM 15420, K7-2)

Name: Aurantiacibacter gangjinensis (KCTC 22330, JCM 15420, K7-2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133565

Type strain

Strain Designation K7-2

Culture col. no. KCTC 22330 JCM 15420 K7-2

NCBI tax ID(s) 502682

Special Collections JCM KCTC Literature strains

History JCM <-- J. S. Jung K7-2. KCTC <- JS Jung, Sunchon Natl. Univ.

Links

Aurantiacibacter gangjinensis K7-2 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from seawater.

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

Name and taxonomic classification

SI-ID 27861

KCTC 22330,JCM 15420

@ref 20215

Last LPSN update 2026-05-29 08:38:07

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Aurantiacibacter

Species Aurantiacibacter gangjinensis

Full scientific name Aurantiacibacter gangjinensis (Lee et al. 2010) Xu et al. 2020

Synonyms (1)

Erythrobacter gangjinensis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29551	negative	0.6-0.8 µm	0.3-0.4 µm	rod-shaped
67771	negative
125438	negative				98.802
125439	negative				99.4

Pigmentation

29551

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29551	positive	growth	15-37
29551	positive	optimum	30
67770	positive	growth	30
67771	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29551	positive	optimum	07-08
29551	positive	growth	06-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29551	aerobe
67771	aerobe
125439	obligate aerobe	98.834

Spore formation

@ref	Spore formation	Confidence
125439		99.36
125438		95.35

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29551	NaCl	positive	growth	01-07 %
29551	NaCl	positive	optimum	01-07 %

Observation

@ref	Observation
29551	aggregates in chains
67770	quinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29551	16449 ChEBI	alanine	+	carbon source
29551	29987 ChEBI	glutamate	+	carbon source
29551	28087 ChEBI	glycogen	+	carbon source
29551	51850 ChEBI	methyl pyruvate	+	carbon source
29551	26271 ChEBI	proline	+	carbon source
29551	30031 ChEBI	succinate	+	carbon source
29551	53423 ChEBI	tween 40	+	carbon source
29551	53426 ChEBI	tween 80	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29551	alkaline phosphatase	+	3.1.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	adipate degradation	100	2 of 2
66794	gluconeogenesis	100	8 of 8
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	ppGpp biosynthesis	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	valine metabolism	100	9 of 9
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
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	Entner Doudoroff pathway	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	photosynthesis	85.71	12 of 14
66794	phenylalanine metabolism	84.62	11 of 13
66794	leucine metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	threonine metabolism	80	8 of 10
66794	glycogen metabolism	80	4 of 5
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	citric acid cycle	78.57	11 of 14
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	glycogen biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	lactate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	purine metabolism	74.47	70 of 94
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	heme metabolism	71.43	10 of 14
66794	tyrosine metabolism	71.43	10 of 14
66794	glutathione metabolism	71.43	10 of 14
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	glycolysis	70.59	12 of 17
66794	propionate fermentation	70	7 of 10
66794	alanine metabolism	68.97	20 of 29
66794	octane oxidation	66.67	2 of 3
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	pyrimidine metabolism	66.67	30 of 45
66794	flavin biosynthesis	66.67	10 of 15
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	cyanate degradation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	tryptophan metabolism	65.79	25 of 38
66794	methionine metabolism	65.38	17 of 26
66794	degradation of sugar acids	64	16 of 25
66794	proline metabolism	63.64	7 of 11
66794	pentose phosphate pathway	63.64	7 of 11
66794	vitamin B6 metabolism	63.64	7 of 11
66794	non-pathway related	63.16	24 of 38
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	starch degradation	60	6 of 10
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	arginine metabolism	58.33	14 of 24
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	propanol degradation	57.14	4 of 7
66794	cysteine metabolism	55.56	10 of 18
66794	metabolism of disaccharids	54.55	6 of 11
66794	sulfate reduction	53.85	7 of 13
66794	histidine metabolism	51.72	15 of 29
66794	lipid metabolism	51.61	16 of 31
66794	alginate biosynthesis	50	2 of 4
66794	degradation of sugar alcohols	50	8 of 16
66794	ethanol fermentation	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	quinate degradation	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	urea cycle	46.15	6 of 13
66794	lysine metabolism	45.24	19 of 42
66794	degradation of hexoses	44.44	8 of 18
66794	nitrate assimilation	44.44	4 of 9
66794	lipid A biosynthesis	44.44	4 of 9
66794	glycine metabolism	40	4 of 10
66794	glycine betaine biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	elloramycin biosynthesis	40	2 of 5
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	vitamin K metabolism	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	ketogluconate metabolism	37.5	3 of 8
66794	carotenoid biosynthesis	36.36	8 of 22
66794	d-xylose degradation	36.36	4 of 11
66794	oxidative phosphorylation	35.16	32 of 91
66794	pantothenate biosynthesis	33.33	2 of 6
66794	selenocysteine 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	IAA biosynthesis	33.33	1 of 3
66794	phenol degradation	30	6 of 20
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	degradation of pentoses	28.57	8 of 28
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	polyamine pathway	26.09	6 of 23
66794	androgen and estrogen metabolism	25	4 of 16
66794	catecholamine biosynthesis	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	ascorbate metabolism	22.73	5 of 22
66794	arachidonic acid metabolism	22.22	4 of 18

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
29551	seawater
67770	Seawater of Gangjin Bay		Republic of Korea	KOR	Asia
67771	From seawater	Gangjin	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU428782 (>99% sequence identity) for Aurantiacibacter gangjinensis from Microbeatlas

Aquatic Samples	1317
Soil Samples	147
Animal Samples	84
Plant Samples	56
Total Samples	1604

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM188669v1 assembly for Aurantiacibacter gangjinensis CGMCC 1.15024	complete	GCA_001886695	502682.21	2721755453	502682	97.12
66792	Erythrobacter gangjinensis strain JCM 15420	complete		502682.17		502682	84
67770	ASM101092v1 assembly for Aurantiacibacter gangjinensis K7-2	contig	GCA_001010925		2627853821	502682	74.69

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29551	Erythrobacter gangjinensis strain K7-2 16S ribosomal RNA gene, partial sequence	EU428782	1435		502682

GC content

@ref	GC-content (mol%)	Method
29551	61.6
67770	62.7	genome sequence analysis
67770	61.6	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: ASM188669v1 assembly for Aurantiacibacter gangjinensis CGMCC 1.15024
NCBI: GCA_001886695

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.83	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	motility	BacteriaNetⓘ	yes	41.00	no
125439	spore_formation	BacteriaNetⓘ	no	99.36	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Erythrobacter gangjinensis strain JCM 15420
PATRIC: 502682.17

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.80	yes
125438	anaerobic	anaerobicⓘ	no	93.99	yes
125438	spore-forming	spore-formingⓘ	no	95.35	no
125438	thermophilic	thermophileⓘ	no	96.74	yes
125438	aerobic	aerobicⓘ	yes	85.27	yes
125438	flagellated	motile2+ⓘ	no	70.86	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aurantiacibacter sediminis sp. nov., a marine bacterium isolated from a tidal flat.	Kim CH, Yoo Y, Kim D, Khim JS, Pathiraja D, Kim B, Choi IG, Kim JJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.005406	2022

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 )
#25946	IJSEM 1413 2010 ( DOI 10.1099/ijs.0.015743-0 , PubMed 19671726 )
#29551	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 #25946
#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 )

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Aurantiacibacter gangjinensis (KCTC 22330, JCM 15420, K7-2)

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

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001886695

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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