Deinococcus frigens (DSM 12807, CIP 109230, NRRL B-41046)

Name: Deinococcus frigens (DSM 12807, CIP 109230, NRRL B-41046)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3866

Type strain

Strain Designation AA-692

Culture col. no. DSM 12807 CIP 109230 NRRL B-41046 AA-692

NCBI tax ID(s) 1121380 249403

Special Collections DSMZ CIP

History <- P. Hirsch <- P. Hirsch and C. A. Gallikowski; AA-692 CIP <- 2006, DSMZ <- P. Hirsch, C.A. Gallikowski, Christian-Albrechts Univ., Kiel, Germany: strain AA-692

Links

Deinococcus frigens AA-692 is a Gram-positive, coccus-shaped bacterium that was isolated from soil .

Gram-positive coccus-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 215462

DSM 12807,NRRL B-41046,CIP 109230

@ref 20215

Last LPSN update 2026-02-09 11:18:35

Domain Bacteria

Phylum Deinococcota

Class Deinococci

Order Deinococcales

Family Deinococcaceae

Genus Deinococcus

Species Deinococcus frigens

Full scientific name Deinococcus frigens Hirsch et al. 2006

BacDive ID	Other strains from **Deinococcus frigens** (2)	Type strain
3867	D. frigens AA-752, DSM 15993, CIP 109041, NRRL B-41045
3868	D. frigens AA-829, DSM 15994, NRRL B-41044

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Motility	Confidence
119460	positive	coccus-shaped
125439	negative			98.4

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
4831	PYGV AGAR (DSMZ Medium 621)	Medium recipe at MediaDive	Name: PYGV AGAR (DSMZ Medium 621) Composition: Agar 15.0 g/l MgSO4 x 7 H2O 0.625264 g/l Glucose 0.25 g/l Peptone 0.25 g/l Yeast extract 0.25 g/l Nitrilotriacetic acid 0.210526 g/l CaCl2 x 2 H2O 0.0703158 g/l FeSO4 x 7 H2O 0.00208422 g/l Na2MoO4 x 2 H2O 0.000266736 g/l Pyridoxine hydrochloride 0.0001 g/l p-Aminobenzoic acid 5e-05 g/l D-Calcium pantothenate 5e-05 g/l Nicotinamide 5e-05 g/l Thiamine-HCl x 2 H2O 5e-05 g/l Riboflavine 5e-05 g/l Folic acid 2e-05 g/l Biotin 2e-05 g/l Vitamin B12 1e-06 g/l Metall salt sol. 44 Distilled water
119460	CIP Medium 566	Medium recipe at CIP
119460	CIP Medium 331	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
4831	positive	growth	15

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		92.7

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
4831	soil (0-4 cm, pH 6.3)	McMurdo Dry Valleys			Australia and Oceania
119460	Environment, Soil (0-4 cm, pH 6.3)	McMurdo dry valleys	Antarctica	ATA	Antarctica

Taxonmaps

69479

Global distribution of 16S sequence AJ585981 (>99% sequence identity) for Deinococcus frigens subclade from Microbeatlas

Aquatic Samples	20
Soil Samples	30
Animal Samples	46
Plant Samples	1
Total Samples	97

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
4831	1	Risk group (German classification) According to TRBA 466
119460	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM70142v1 assembly for Deinococcus frigens DSM 12807	scaffold	GCA_000701425	1121380.3	2561511139	1121380	47.4

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
4831	Deinococcus sp. AA692 16S rRNA gene, strain AA692	AJ585981	1490		249403

GC content

4831

GC-content (mol%)63.8-65.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Deinococcus frigens DSM 12807
NCBI: GCA_000701425

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	84.60	no
125439	gram_stain	BacteriaNetⓘ	negative	98.40	no
125439	motility	BacteriaNetⓘ	yes	55.60	no
125439	spore_formation	BacteriaNetⓘ	no	92.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Deinococcus frigens DSM 12807 DSM 12807
NCBI: GCA_000701425.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	57.91	no
125438	anaerobic	anaerobicⓘ	no	91.15	no
125438	aerobic	aerobicⓘ	yes	80.16	no
125438	spore-forming	spore-formingⓘ	no	77.74	no
125438	thermophilic	thermophileⓘ	no	88.36	yes
125438	flagellated	motile2+ⓘ	no	80.62	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Deinococcus frigens sp. nov., Deinococcus saxicola sp. nov., and Deinococcus marmoris sp. nov., low temperature and draught-tolerating, UV-resistant bacteria from continental Antarctica.	Hirsch P, Gallikowski CA, Siebert J, Peissl K, Kroppenstedt R, Schumann P, Stackebrandt E, Anderson R	Syst Appl Microbiol	10.1078/0723202042370008	2004

References

#4831	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12807
#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) .
#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 .
#119460	Collection of Institut Pasteur ; Curators of the CIP; CIP 109230
#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 frigens (DSM 12807, CIP 109230, NRRL B-41046)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000701425

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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