Oceanisphaera arctica (CCUG 58690, KCTC 23013, NBRC 106171)

Name: Oceanisphaera arctica (CCUG 58690, KCTC 23013, NBRC 106171)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133770

Type strain

Strain Designation V1-41

Culture col. no. CCUG 58690 KCTC 23013 NBRC 106171 V1-41

NCBI tax ID(s) 641510

Special Collections CCUG KCTC Literature strains

Links

Oceanisphaera arctica V1-41 is an aerobe, Gram-negative, coccus-shaped bacterium that was isolated from marine sediment.

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

Name and taxonomic classification

SI-ID 412113

KCTC 23013,NBRC 106171,CCUG 58690

@ref 20215

Last LPSN update 2026-05-29 08:38:10

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Aeromonadales

Family Aeromonadaceae

Genus Oceanisphaera

Species Oceanisphaera arctica

Full scientific name Oceanisphaera arctica Srinivas et al. 2012

Synonyms (1)

"Oceanisphaera arctica"

Morphology

Cell morphology

@ref	Gram stain	Cell width	Cell shape	Confidence
30455	negative	0.55 µm	coccus-shaped
125439	negative			99.142
125438	negative			98

Pigmentation

30455

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
30455	positive	growth	04-37
30455	positive	optimum	24
61740	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
30455	positive	optimum	8
30455	positive	growth	07-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
30455	aerobe
61740	aerobe

Spore formation

@ref	Spore formation	Confidence
125439		99.919

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30455	NaCl	positive	growth	0-3 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30455	16449 ChEBI	alanine	+	carbon source
30455	29016 ChEBI	arginine	+	carbon source
30455	35391 ChEBI	aspartate	+	carbon source
30455	16947 ChEBI	citrate	+	carbon source
30455	16296 ChEBI	D-tryptophan	+	carbon source
30455	4853 ChEBI	esculin	+	hydrolysis
30455	27570 ChEBI	histidine	+	carbon source
30455	25017 ChEBI	leucine	+	carbon source
30455	17632 ChEBI	nitrate	+	reduction
30455	28044 ChEBI	phenylalanine	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30455	catalase	+	1.11.1.6
30455	cytochrome oxidase	+	1.9.3.1
30455	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
30455	marine sediment
61740	Marine sediment	2007-08-09	Svalbard,Kongsfjord region	Norway	NOR	Europe

Taxonmaps

69479

Global distribution of 16S sequence FN377705 (>99% sequence identity) for Oceanisphaera arctica from Microbeatlas

Aquatic Samples	313
Soil Samples	24
Animal Samples	70
Plant Samples	9
Total Samples	416

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM4243140v1 assembly for Oceanisphaera arctica KCTC 23013	scaffold	GCA_042431405			641510	69.28
66792	ASM1465205v1 assembly for Oceanisphaera arctica KCTC 23013	scaffold	GCA_014652055	641510.7	8065010600	641510	67.17
66792	ASM293695v1 assembly for Oceanisphaera arctica V1-41	contig	GCA_002936955	641510.4		641510	56.07

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
30455	Oceanisphaera arctica partial 16S rRNA gene, isolate V1-41	FN377705	1536	641510
124043	Oceanisphaera arctica strain KCTC 23013 16S ribosomal RNA gene, partial sequence.	MT759888	1364	641510
124043	Oceanisphaera arctica strain KCTC 23013 16S ribosomal RNA gene, partial sequence.	MT758089	1364	641510

GC content

30455

GC-content (mol%)60.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM4243140v1 assembly for Oceanisphaera arctica KCTC 23013
NCBI: GCA_042431405

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	84.39	no
125439	gram_stain	BacteriaNetⓘ	negative	99.14	no
125439	motility	BacteriaNetⓘ	yes	85.15	no
125439	spore_formation	BacteriaNetⓘ	no	99.92	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Oceanisphaera arctica KCTC 23013
NCBI: GCA_014652055.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	96.95	yes
125438	aerobic	aerobicⓘ	yes	70.08	yes
125438	spore-forming	spore-formingⓘ	no	87.95	no
125438	thermophilic	thermophileⓘ	no	98.00	yes
125438	flagellated	motile2+ⓘ	yes	85.41	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phenotypic and Genomic Characterization of Oceanisphaera submarina sp. nov. Isolated from the Sea of Japan Bottom Sediments.	Romanenko L, Bystritskaya E, Otstavnykh N, Kurilenko V, Velansky P, Isaeva M.	Life (Basel)	10.3390/life15030378	2025
Phylogeny	Oceanisphaera psychrotolerans sp. nov., isolated from coastal sediment samples.	Zhou S, Wang H, Wang Y, Ma K, He M, Chen X, Kong D, Guo X, Ruan Z, Zhao B	Int J Syst Evol Microbiol	10.1099/ijs.0.000331	2015
Phylogeny	Oceanisphaera arctica sp. nov., isolated from Arctic marine sediment, and emended description of the genus Oceanisphaera.	Srinivas TNR, Reddy PVV, Begum Z, Manasa P, Shivaji S	Int J Syst Evol Microbiol	10.1099/ijs.0.036475-0	2011

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 )
#26790	IJSEM 1926 2012 ( DOI 10.1099/ijs.0.036475-0 , PubMed 22003041 )
#30455	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 #26790
#61740	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58690
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Oceanisphaera arctica (CCUG 58690, KCTC 23013, NBRC 106171)

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_042431405

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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