Alpinimonas psychrophila (DSM 23737, LMG 26215, Cr8-25)

Name: Alpinimonas psychrophila (DSM 23737, LMG 26215, Cr8-25)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7516

Type strain

Strain Designation Cr8-25

Culture col. no. DSM 23737 LMG 26215 Cr8-25 JCM 18951

NCBI tax ID(s) 748908

Special Collections DSMZ JCM Literature strains

Links

Alpinimonas psychrophila Cr8-25 is a microaerophile, psychrophilic, Gram-variable prokaryote that was isolated from glacier cryoconite.

Gram-variable rod-shaped microaerophile psychrophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 375218

LMG 26215,DSM 23737,JCM 18951

@ref 20215

Last LPSN update 2025-12-16 09:48:36

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Alpinimonas

Species Alpinimonas psychrophila

Full scientific name Alpinimonas psychrophila Schumann et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
30442	variable	1.15 µm	0.35 µm	rod-shaped
125438

Pigmentation

30442

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17305	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)	Range
17305	positive	growth	15	psychrophilic
30442	positive	growth	1-20	psychrophilic
67770	positive	growth	15	psychrophilic

Culture pH

@ref	Ability	Type	PH
30442	positive	growth	7

Physiology and metabolism

Oxygen tolerance

30442

Oxygen tolerancemicroaerophile

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30442	NaCl	positive	growth	0-1 %

Observation

67770

Observationquinones: MK-11, MK-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30442	17234 ChEBI	glucose	+	carbon source
30442	37684 ChEBI	mannose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30442	acid phosphatase	+	3.1.3.2
30442	alkaline phosphatase	+	3.1.3.1

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	Geographic location	Country	Country ISO 3 Code	Continent
17305	glacier cryoconite	Ötztaler Alps	Austria	AUT	Europe
67770	Alpine glacier cryoconite from the Rettenbach glacier in the Oetztal Alps	Tyrol	Austria	AUT	Europe

Taxonmaps

69479

Global distribution of 16S sequence GU784868 (>99% sequence identity) for Aurantimicrobium from Microbeatlas

Aquatic Samples	699
Soil Samples	10
Animal Samples	107
Plant Samples	8
Total Samples	824

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17305	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
66792	ASM1413786v1 assembly for Alpinimonas psychrophila DSM 23737	contig	GCA_014137865	748908.3	2820962504	748908	73.36

Genome browser: GCA_014137865

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17305	Alpinimonas psychrophila strain Cr8-25 16S ribosomal RNA gene, partial sequence	GU784868	1513		748908

GC content

@ref	GC-content (mol%)	Method
17305	58.8	high performance liquid chromatography (HPLC)
30442	58.8

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Alpinimonas psychrophila DSM 23737
NCBI: GCA_014137865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	87.50	no
125439	motility	BacteriaNetⓘ	no	51.60	no
125439	gram_stain	BacteriaNetⓘ	variable	65.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	87.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alpinimonas psychrophila strain DSM 23737
PATRIC: 748908.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	67.26	yes
125438	anaerobic	anaerobicⓘ	no	97.53	yes
125438	aerobic	aerobicⓘ	yes	64.21	yes
125438	spore-forming	spore-formingⓘ	no	86.09	no
125438	thermophilic	thermophileⓘ	no	88.50	yes
125438	flagellated	motile2+ⓘ	no	92.99	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aurantimicrobium minutum gen. nov., sp. nov., a novel ultramicrobacterium of the family Microbacteriaceae, isolated from river water.	Nakai R, Baba T, Niki H, Nishijima M, Naganuma T	Int J Syst Evol Microbiol	10.1099/ijsem.0.000541	2015
Phylogeny	Glaciihabitans tibetensis gen. nov., sp. nov., a psychrotolerant bacterium of the family Microbacteriaceae, isolated from glacier ice water.	Li AH, Liu HC, Xin YH, Kim SG, Zhou YG	Int J Syst Evol Microbiol	10.1099/ijs.0.052670-0	2013
Phylogeny	Alpinimonas psychrophila gen. nov., sp. nov., an actinobacterium of the family Microbacteriaceae isolated from alpine glacier cryoconite.	Schumann P, Zhang DC, Redzic M, Margesin R	Int J Syst Evol Microbiol	10.1099/ijs.0.036160-0	2012

References

#17305	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23737
#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 )
#30442	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 #26778 (see below)
#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 .
#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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Alpinimonas psychrophila (DSM 23737, LMG 26215, Cr8-25)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014137865

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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