Deinococcus arenae (KCTC 33741, JCM 31047)

Name: Deinococcus arenae (KCTC 33741, JCM 31047)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163938

Type strain

Culture col. no. KCTC 33741 JCM 31047

NCBI tax ID(s) 1452751

Special Collections JCM KCTC

History T. Seo; Dept. of Life Sci., Dongguk Univ., South Korea; SA1.

Links

Deinococcus arenae JCM 31047 is a bacterium that was isolated from Sand sample collected from Yangyang Beach in Gangwon-do.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 26533

KCTC 33741,JCM 31047

@ref 20215

Last LPSN update 2026-02-09 11:39:43

Domain Bacteria

Phylum Deinococcota

Class Deinococci

Order Deinococcales

Family Deinococcaceae

Genus Deinococcus

Species Deinococcus arenae

Full scientific name Deinococcus arenae Lee et al. 2016

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	positive	99.4
125439		92.7

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	91.1

Spore formation

@ref	Spore formation	Confidence
125439		90.6

Observation

67770

Observationquinones: MK-8

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Sand sample collected from Yangyang Beach in Gangwon-do	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence KF790633 (>99% sequence identity) for Deinococcus from Microbeatlas

Aquatic Samples	1779
Soil Samples	295
Animal Samples	1502
Plant Samples	371
Total Samples	3947

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1464799v1 assembly for Deinococcus arenae JCM 31047	scaffold	GCA_014647995	1452751.3	8068662682	1452751	66.7

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Deinococcus arenae strain SA1 16S ribosomal RNA gene, partial sequence	KF790633	1451		1452751
124043	Deinococcus arenae strain JCM 31047 16S ribosomal RNA gene, partial sequence.	MT760406	1321		1452751

GC content

@ref	GC-content (mol%)	Method
67770	69.5	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: Deinococcus arenae JCM 31047
NCBI: GCA_014647995

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	90.60	no
125439	motility	BacteriaNetⓘ	no	92.70	no
125439	gram_stain	BacteriaNetⓘ	positive	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	91.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Deinococcus arenae JCM 31047
NCBI: GCA_014647995.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	51.55	no
125438	anaerobic	anaerobicⓘ	no	94.56	no
125438	aerobic	aerobicⓘ	yes	78.33	no
125438	spore-forming	spore-formingⓘ	no	66.32	no
125438	thermophilic	thermophileⓘ	no	92.06	yes
125438	flagellated	motile2+ⓘ	no	74.56	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Identification and genome analysis of Deinococcus actinosclerus SJTR1, a novel 17beta-estradiol degradation bacterium.	Xiong W, Peng W, Liang R.	3 Biotech	10.1007/s13205-018-1466-x	2018
	Deinococcus taeanensis sp. nov., a Radiation-Resistant Bacterium Isolated from a Coastal Dune.	Lee JH, Jung JH, Kim MK, Lim S.	Curr Microbiol	10.1007/s00284-022-03044-8	2022
Metabolism	Deinococcus arenae sp. nov., a novel species isolated from sand in South Korea.	Lee D, Cha S, Jang JH, Seo T	Antonie Van Leeuwenhoek	10.1007/s10482-016-0705-6	2016

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 )
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Deinococcus arenae (KCTC 33741, JCM 31047)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_014647995

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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