Glaciimonas immobilis (DSM 23240, LMG 25547, Cr9-30)

Name: Glaciimonas immobilis (DSM 23240, LMG 25547, Cr9-30)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11376

Type strain

Strain Designation Cr9-30

Culture col. no. DSM 23240 LMG 25547 Cr9-30 UCCCB32

NCBI tax ID(s) 728004

Special Collections DSMZ UCCCB

History DSMZ <- R. Margesin, Inst. Microbiology, Univ. Innsbruck, Austria; Cr9-30 UCCCB <- R. Margesin, Inst. Microbiology, Univ. Innsbruck, Austria; Cr9-30

Links

Glaciimonas immobilis Cr9-30 is a bacterium that was isolated from glacier cryoconite.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 368629

LMG 25547,DSM 23240

@ref 20215

Last LPSN update 2026-05-29 08:27:33

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Oxalobacteraceae

Genus Glaciimonas

Species Glaciimonas immobilis

Full scientific name Glaciimonas immobilis Zhang et al. 2011

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	95.227
125438	negative	98

Multimedia

@ref:	16705
multimedia content:	DSM_23240.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_23240.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16705	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
16705	positive	growth	1-20
67772	positive	minimum	1
67772	positive	optimum	10
67772	positive	maximum	20

Culture pH

@ref	Ability	Type	PH
67772	positive	maximum	8.0
67772	positive	minimum	6.0

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.533

Spore formation

@ref	Spore formation	Confidence
125439		99.485

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Glacier
#Environmental	#Terrestrial	#Geologic
#Condition	#Psychrophilic (<10°C)	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
16705	glacier cryoconite		Tyrol, Oetztaler Alps, Tiefenbachferner glacier	Austria	AUT	Europe
67772	Alpine glacier (Tiefenbachferner glacier) cryoconite	2006	Tyrol, Ötztal	Austria	AUT	Europe

Taxonmaps

69479

Global distribution of 16S sequence GU441679 (>99% sequence identity) for Glaciimonas immobilis from Microbeatlas

Aquatic Samples	167
Soil Samples	271
Animal Samples	166
Plant Samples	129
Total Samples	733

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16705	1	Risk group (German classification) According to TRBA 466
67772	1

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1194728v1 assembly for Glaciimonas immobilis DSM 23240	scaffold	GCA_011947285	728004.4	8063590918	728004	70.89
66792	ASM1420281v1 assembly for Glaciimonas immobilis DSM 23240	scaffold	GCA_014202815	728004.5	2861618822	728004	70.53

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16705	Glaciimonas immobilis strain Cr9-30 16S ribosomal RNA gene, partial sequence	GU441679	1525		728004

GC content

@ref	GC-content (mol%)	Method
16705	51.0	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1194728v1 assembly for Glaciimonas immobilis DSM 23240
NCBI: GCA_011947285

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	95.23	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.53	no
125439	motility	BacteriaNetⓘ	yes	66.37	no
125439	spore_formation	BacteriaNetⓘ	no	99.49	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Glaciimonas immobilis DSM 23240
NCBI: GCA_011947285.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	97.16	no
125438	aerobic	aerobicⓘ	yes	85.37	no
125438	spore-forming	spore-formingⓘ	no	88.53	no
125438	thermophilic	thermophileⓘ	no	97.21	yes
125438	flagellated	motile2+ⓘ	yes	81.57	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Glaciimonas alpina sp. nov. isolated from alpine glaciers and reclassification of Glaciimonas immobilis Cr9-12 as the type strain of Glaciimonas alpina sp. nov.	Frasson D, Udovicic M, Frey B, Lapanje A, Zhang DC, Margesin R, Sievers M	Int J Syst Evol Microbiol	10.1099/ijs.0.000174	2015
Phylogeny	Glaciimonas singularis sp. nov., isolated from a uranium mine wastewater treatment plant.	Chung AP, Tiago I, Nobre MF, Verissimo A, Morais PV	Int J Syst Evol Microbiol	10.1099/ijs.0.046581-0	2012
Phylogeny	Glaciimonas immobilis gen. nov., sp. nov., a member of the family Oxalobacteraceae isolated from alpine glacier cryoconite.	Zhang DC, Redzic M, Schinner F, Margesin R	Int J Syst Evol Microbiol	10.1099/ijs.0.028001-0	2010

References

#16705	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23240
#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) .
#67772	The University of Coimbra Bacteria Culture Collection (UCCCB) ; Curators of the UCCCB;
#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 )

Content

About us

Glaciimonas immobilis (DSM 23240, LMG 25547, Cr9-30)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_011947285

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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