Cryobacterium luteum (DSM 26476, CGMCC 1.11210, NBRC 107880)

Name: Cryobacterium luteum (DSM 26476, CGMCC 1.11210, NBRC 107880)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7306

Type strain

Strain Designation Hh15

Culture col. no. DSM 26476 CGMCC 1.11210 NBRC 107880 Hh15 JCM 18569

NCBI tax ID(s) 1424661

Special Collections DSMZ JCM Literature strains

History DSMZ <- NBRC <- CGMCC <- Y. Xin, CAS; Hh15 JCM <-- CGMCC 1.11210 <-- Y. Xin Hh15.

Links

Cryobacterium luteum Hh15 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from glacier ice.

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

Name and taxonomic classification

SI-ID 397105

NBRC 107880,DSM 26476

@ref 20215

Last LPSN update 2026-05-29 08:26:37

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Cryobacterium

Species Cryobacterium luteum

Full scientific name Cryobacterium luteum Liu et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
30337	positive	0.93 µm	0.44 µm	rod-shaped

Colony morphology

18238

Incubation period3-7 days

Pigmentation

30337

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18238	PP-MEDIUM (DSMZ Medium 513)		Medium recipe at MediaDive	Name: PP-MEDIUM (DSMZ Medium 513) Composition: Agar 15.0 g/l Polypeptone 10.0 g/l Yeast extract 2.0 g/l MgSO4 x 7 H2O 1.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
18238	positive	growth	10
30337	positive	growth	0-20
67770	positive	growth	10

Culture pH

@ref	Ability	Type	PH	PH range
30337	positive	growth	5.5-12	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30337	aerobe
125439	obligate aerobe	95.089

Spore formation

@ref	Spore formation	Confidence
125439		91.673

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30337	NaCl	positive	growth	0-3 %

Observation

67770

Observationquinones: MK-11, MK-12

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30337	17057 ChEBI	cellobiose	+	carbon source
30337	4853 ChEBI	esculin	+	hydrolysis
30337	28757 ChEBI	fructose	+	carbon source
30337	17234 ChEBI	glucose	+	carbon source
30337	17754 ChEBI	glycerol	+	carbon source
30337	17306 ChEBI	maltose	+	carbon source
30337	29864 ChEBI	mannitol	+	carbon source
30337	37684 ChEBI	mannose	+	carbon source
30337	17632 ChEBI	nitrate	+	reduction
30337	33942 ChEBI	ribose	+	carbon source
30337	30911 ChEBI	sorbitol	+	carbon source
30337	17992 ChEBI	sucrose	+	carbon source
30337	27082 ChEBI	trehalose	+	carbon source
30337	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30337	acid phosphatase	+	3.1.3.2
30337	catalase	+	1.11.1.6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Glacier
#Environmental	#Aquatic	#Ice

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
18238	glacier ice	Glacier in Xinjiang Uyghur Autonomous Region	China	CHN	Asia
67770	Ice of the No. 1 glacier	Xingjiang Uygur Autonomous Region, north-west China	China	CHN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
18238	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2667527407 annotated assembly for Cryobacterium luteum CGMCC 1.11210	scaffold	GCA_900110125	1424661.3	2667527407	1424661	63.63
66792	ASM440251v1 assembly for Cryobacterium luteum Hh15	contig	GCA_004402515	1424661.5	8048170881	1424661	62.9

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18238	Cryobacterium luteum strain Hh15 16S ribosomal RNA gene, partial sequence	HQ845193	1475		1424661

GC content

@ref	GC-content (mol%)	Method
18238	63.7
67770	65.1	genome sequence analysis
67770	63.7	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: IMG-taxon 2667527407 annotated assembly for Cryobacterium luteum CGMCC 1.11210
BV-BRC: 1424661.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.09	no
125439	gram_stain	BacteriaNetⓘ	positive	63.82	no
125439	motility	BacteriaNetⓘ	no	64.76	no
125439	spore_formation	BacteriaNetⓘ	no	91.67	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cryobacterium luteum strain CGMCC 1.11210
PATRIC: 1424661.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.23	no
125438	anaerobic	anaerobicⓘ	no	96.41	no
125438	spore-forming	spore-formingⓘ	no	76.79	no
125438	aerobic	aerobicⓘ	yes	87.01	yes
125438	thermophilic	thermophileⓘ	no	94.41	no
125438	flagellated	motile2+ⓘ	no	77.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Genomic Insights of Cryobacterium Isolated From Ice Core Reveal Genome Dynamics for Adaptation in Glacier.	Liu Y, Shen L, Zeng Y, Xing T, Xu B, Wang N.	Front Microbiol	10.3389/fmicb.2020.01530	2020
Phylogeny	Cryobacterium levicorallinum sp. nov., a psychrophilic bacterium isolated from glacier ice.	Liu Q, Liu H, Zhang J, Zhou Y, Xin Y	Int J Syst Evol Microbiol	10.1099/ijs.0.046896-0	2013
Phylogeny	Cryobacterium flavum sp. nov. and Cryobacterium luteum sp. nov., isolated from glacier ice.	Liu Q, Liu H, Wen Y, Zhou Y, Xin Y	Int J Syst Evol Microbiol	10.1099/ijs.0.033738-0	2011

References

#18238	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26476
#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 )
#26678	IJSEM 1296 2012 ( DOI 10.1099/ijs.0.033738-0 , PubMed 21784961 )
#30337	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 #26678
#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;
#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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Cryobacterium luteum (DSM 26476, CGMCC 1.11210, NBRC 107880)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900110125

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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