Marinobacter psychrophilus (CGMCC 1.6499, JCM 14643, 20041)

Name: Marinobacter psychrophilus (CGMCC 1.6499, JCM 14643, 20041)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134346

Type strain

Strain Designation 20041

Culture col. no. CGMCC 1.6499 JCM 14643 20041 BCRC 80070

NCBI tax ID(s) 330734

Special Collections JCM Literature strains

History D.-C. Zhang et al. 20041.

Links

Marinobacter psychrophilus 20041 is an aerobe, Gram-negative, motile bacterium that was isolated from seawater.

Gram-negative motile rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 132640

JCM 14643,BCRC 80070

@ref 20215

Last LPSN update 2026-02-09 11:32:10

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Alteromonadaceae

Genus Marinobacter

Species Marinobacter psychrophilus

Full scientific name Marinobacter psychrophilus Zhang et al. 2008

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32559	negative	1.75 µm	0.35 µm	rod-shaped
125438	negative				99.5
125439	negative				99.2

Pigmentation

32559

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
32559	positive	growth	0-22
32559	positive	optimum	17
67770	positive	growth	18

Culture pH

@ref	Ability	Type	PH	PH range
32559	positive	optimum	7.5
32559	positive	growth	05-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
32559	aerobe
125439	obligate aerobe	97.2

Spore formation

@ref	Spore formation	Confidence
125439		98.5

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32559	NaCl	positive	growth	02-08 %

Observation

67770

Observationquinones: Q-9

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32559	22599 ChEBI	arabinose	+	carbon source
32559	17754 ChEBI	glycerol	+	carbon source
32559	17632 ChEBI	nitrate	+	reduction
32559	17822 ChEBI	serine	+	carbon source
32559	17992 ChEBI	sucrose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
32559	alkaline phosphatase	+	3.1.3.1
32559	catalase	+	1.11.1.6
32559	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Latitude	Longitude
32559	seawater
67770	Sea-ice samples collected off the Canadian Basin of the Arctic Ocean (78° 23' 14" N 149° 06' 55" W)	78.3872	-149.115 78.3872/-149.115

Taxonmaps

69479

Global distribution of 16S sequence DQ060402 (>99% sequence identity) for Marinobacter psychrophilus subclade from Microbeatlas

Aquatic Samples	1732
Soil Samples	171
Animal Samples	122
Plant Samples	34
Total Samples	2059

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM104317v1 assembly for Marinobacter psychrophilus 20041	complete	GCA_001043175	2636415955	330734	98.34

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
32559	Marinobacter psychrophilus strain 20041 16S ribosomal RNA gene, partial sequence	DQ060402	1506		330734

GC content

@ref	GC-content (mol%)	Method
32559	55.4
67770	55.4	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: Marinobacter psychrophilus 20041
NCBI: GCA_001043175

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.50	no
125439	motility	BacteriaNetⓘ	yes	84.40	no
125439	gram_stain	BacteriaNetⓘ	negative	99.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Marinobacter psychrophilus 20041
NCBI: GCA_001043175.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	no
125438	anaerobic	anaerobicⓘ	no	97.78	yes
125438	aerobic	aerobicⓘ	yes	84.35	yes
125438	spore-forming	spore-formingⓘ	no	86.62	no
125438	thermophilic	thermophileⓘ	no	97.82	yes
125438	flagellated	motile2+ⓘ	yes	85.73	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Complete genome of Marinobacter psychrophilus strain 20041(T) isolated from sea-ice of the Canadian Basin.	Song L, Ren L, Wang L, Yu Y, Wang X, Liu G	Mar Genomics	10.1016/j.margen.2016.02.001	2016
Phylogeny	Marinobacter psychrophilus sp. nov., a psychrophilic bacterium isolated from the Arctic.	Zhang DC, Li HR, Xin YH, Chi ZM, Zhou PJ, Yu Y	Int J Syst Evol Microbiol	10.1099/ijs.0.65690-0	2008

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 )
#28777	IJSEM 1463 2008 ( DOI 10.1099/ijs.0.65690-0 , PubMed 18523195 )
#32559	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 #28777
#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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Marinobacter psychrophilus (CGMCC 1.6499, JCM 14643, 20041)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

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

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001043175

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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