Aurantiacibacter odishensis (KCTC 23981, NBRC 108930, JA747)

Name: Aurantiacibacter odishensis (KCTC 23981, NBRC 108930, JA747)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134033

Type strain

Strain Designation JA747

Culture col. no. KCTC 23981 NBRC 108930 JA747

NCBI tax ID(s) 1155476

Special Collections KCTC Literature strains

Links

Aurantiacibacter odishensis JA747 is an aerobe, rod-shaped bacterium that was isolated from soil.

rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 290422

KCTC 23981,NBRC 108930

@ref 20215

Last LPSN update 2026-05-29 08:38:14

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Aurantiacibacter

Species Aurantiacibacter odishensis

Full scientific name Aurantiacibacter odishensis (Subhash et al. 2013) Xu et al. 2020

Synonyms (1)

Erythrobacter odishensis

Morphology

Cell morphology

@ref	Cell length	Cell width	Cell shape	Gram stain	Confidence
31103	1.5 µm	0.55 µm	rod-shaped
125438				negative	95.796
125439				negative	99.232

Pigmentation

31103

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
31103	positive	growth	12-40
31103	positive	optimum	27.5

Culture pH

@ref	Ability	Type	PH	PH range
31103	positive	optimum	7
31103	positive	growth	6.2-9.1	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31103	aerobe
125439	obligate aerobe	99.473

Spore formation

@ref	Spore formation	Confidence
125438		92.272
125439		99.524

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31103	NaCl	positive	growth	0-9 %
31103	NaCl	positive	optimum	2 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31103	62064 ChEBI	2,3-butanediol	+	carbon source
31103	28644 ChEBI	2-oxopentanoate	+	carbon source
31103	30089 ChEBI	acetate	+	carbon source
31103	16449 ChEBI	alanine	+	carbon source
31103	40585 ChEBI	alpha-cyclodextrin	+	carbon source
31103	22653 ChEBI	asparagine	+	carbon source
31103	23652 ChEBI	dextrin	+	carbon source
31103	17126 ChEBI	DL-carnitine	+	carbon source
31103	16000 ChEBI	ethanolamine	+	carbon source
31103	17234 ChEBI	glucose	+	carbon source
31103	29987 ChEBI	glutamate	+	carbon source
31103	28087 ChEBI	glycogen	+	carbon source
31103	27570 ChEBI	histidine	+	carbon source
31103	17596 ChEBI	inosine	+	carbon source
31103	17240 ChEBI	itaconate	+	carbon source
31103	21217 ChEBI	L-alaninamide	+	carbon source
31103	18403 ChEBI	L-arabitol	+	carbon source
31103	24996 ChEBI	lactate	+	carbon source
31103	17716 ChEBI	lactose	+	carbon source
31103	15792 ChEBI	malonate	+	carbon source
31103	17306 ChEBI	maltose	+	carbon source
31103	17268 ChEBI	myo-inositol	+	carbon source
31103	506227 ChEBI	N-acetylglucosamine	+	carbon source
31103	18257 ChEBI	ornithine	+	carbon source
31103	28044 ChEBI	phenylalanine	+	carbon source
31103	26271 ChEBI	proline	+	carbon source
31103	17272 ChEBI	propionate	+	carbon source
31103	17148 ChEBI	putrescine	+	carbon source
31103	26546 ChEBI	rhamnose	+	carbon source
31103	15963 ChEBI	ribitol	+	carbon source
31103	30911 ChEBI	sorbitol	+	carbon source
31103	17992 ChEBI	sucrose	+	carbon source
31103	16704 ChEBI	uridine	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31103	catalase	+	1.11.1.6
31103	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

31103

Sample typesoil

Taxonmaps

69479

Global distribution of 16S sequence HE680094 (>99% sequence identity) for Aurantiacibacter from Microbeatlas

Aquatic Samples	375
Soil Samples	10
Animal Samples	29
Plant Samples	0
Total Samples	414

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM360519v1 assembly for Aurantiacibacter odishensis KCTC 23981	contig	GCA_003605195	1155476.3	2839076428	1155476	70.47

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31103	Erythrobacter odishensis partial 16S rRNA gene, type strain JA747T, isolate A4	HE680094	1353		1155476

GC content

31103

GC-content (mol%)59.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM360519v1 assembly for Aurantiacibacter odishensis KCTC 23981
NCBI: GCA_003605195

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.47	no
125439	gram_stain	BacteriaNetⓘ	negative	99.23	no
125439	motility	BacteriaNetⓘ	yes	40.36	no
125439	spore_formation	BacteriaNetⓘ	no	99.52	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Erythrobacter odishensis strain KCTC 23981
PATRIC: 1155476.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.80	no
125438	anaerobic	anaerobicⓘ	no	92.67	yes
125438	spore-forming	spore-formingⓘ	no	92.27	no
125438	aerobic	aerobicⓘ	yes	86.16	yes
125438	thermophilic	thermophileⓘ	no	95.75	yes
125438	flagellated	motile2+ⓘ	yes	57.52	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aurantiacibacter hainanensis sp. nov. and Qipengyuania zhejiangensis sp. nov., two novel Erythrobacteraceae species isolated from tidal flat sediments.	Liu WJ, Zhang Y, Cao K, Li JX, Wen YQ, Sun C, Xu L.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006469	2024

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 )
#27432	IJSEM 4524 2013 ( DOI 10.1099/ijs.0.052183-0 , PubMed 23907224 )
#31103	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 #27432
#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) .
#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 odishensis (KCTC 23981, NBRC 108930, JA747)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003605195

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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