Marinobacter pelagius (CGMCC 1.6775, JCM 14804, HS225)

Name: Marinobacter pelagius (CGMCC 1.6775, JCM 14804, HS225)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134311

Type strain

Strain Designation HS225

Culture col. no. CGMCC 1.6775 JCM 14804 HS225

NCBI tax ID(s) 379482

Special Collections JCM Literature strains

Links

Marinobacter pelagius HS225 is an aerobe, Gram-negative, motile prokaryote that was isolated from seawater.

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

Name and taxonomic classification

SI-ID 343450

CGMCC 1.6775,JCM 14804

@ref 20215

Last LPSN update 2025-12-16 10:02:01

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Alteromonadaceae

Genus Marinobacter

Species Marinobacter pelagius

Full scientific name Marinobacter pelagius Xu et al. 2008

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32370	negative	3 µm	0.6 µm	rod-shaped
125438	negative				98.095
125439	negative				96.1

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
32370	positive	growth	04-48
32370	positive	optimum	27.5	mesophilic
67770	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
32370	positive	optimum	7.5
32370	positive	growth	06-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

32370

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125439		98

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32370	NaCl	positive	growth	0.5-15 %
32370	NaCl	positive	optimum	5 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32370	30089 ChEBI	acetate	+	carbon source
32370	16449 ChEBI	alanine	+	carbon source
32370	29987 ChEBI	glutamate	+	carbon source
32370	24996 ChEBI	lactate	+	carbon source
32370	25115 ChEBI	malate	+	carbon source
32370	17632 ChEBI	nitrate	+	reduction
32370	17272 ChEBI	propionate	+	carbon source
32370	15361 ChEBI	pyruvate	+	carbon source
32370	30031 ChEBI	succinate	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
32370	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
32370	catalase	+	1.11.1.6
32370	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
32370	seawater
67770	Seawater samples collected from the Zhoushan Archipelago	Zhejiang Province	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence DQ458821 (>99% sequence identity) for Marinobacter from Microbeatlas

Aquatic Samples	49
Soil Samples	5
Animal Samples	2
Plant Samples
Total Samples	56

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2619618995 annotated assembly for Marinobacter pelagius CGMCC 1.6775	contig	GCA_900114925	379482.7	2619618995	379482	72.67

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
32370	Marinobacter pelagius strain HS225 16S ribosomal RNA gene, partial sequence	DQ458821	1436		379482

GC content

@ref	GC-content (mol%)	Method
32370	59
67770	59	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 pelagius CGMCC 1.6775
NCBI: GCA_900114925

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.00	no
125439	motility	BacteriaNetⓘ	yes	81.00	no
125439	gram_stain	BacteriaNetⓘ	negative	96.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	76.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Marinobacter pelagius strain CGMCC 1.6775
PATRIC: 379482.7

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.10	yes
125438	anaerobic	anaerobicⓘ	no	96.08	yes
125438	spore-forming	spore-formingⓘ	no	88.91	no
125438	aerobic	aerobicⓘ	yes	84.29	yes
125438	thermophilic	thermophileⓘ	no	98.93	yes
125438	flagellated	motile2+ⓘ	yes	64.02	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft genome of a manganese-oxidizing bacterium Marinobacter sp. DUT-1 with potential metal resistance.	Li J, Wu T, Zhou H, Tang H, Pan H.	Microbiol Resour Announc	10.1128/mra.00510-25	2025
Phylogeny	Marinobacter fonticola sp. nov., isolated from deep sea cold seep sediment.	Sun QL, Sun YL, Sun YY, Luan ZD, Lian C	Int J Syst Evol Microbiol	10.1099/ijsem.0.003895	2020
Phylogeny	Marinobacter mobilis sp. nov. and Marinobacter zhejiangensis sp. nov., halophilic bacteria isolated from the East China Sea.	Huo YY, Wang CS, Yang JY, Wu M, Xu XW	Int J Syst Evol Microbiol	10.1099/ijs.0.2008/000786-0	2008
Phylogeny	Marinobacter pelagius sp. nov., a moderately halophilic bacterium.	Xu XW, Wu YH, Wang CS, Yang JY, Oren A, Wu M	Int J Syst Evol Microbiol	10.1099/ijs.0.65390-0	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 )
#28598	IJSEM 637 2008 ( DOI 10.1099/ijs.0.65390-0 , PubMed 18319470 )
#32370	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 #28598
#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 pelagius (CGMCC 1.6775, JCM 14804, HS225)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900114925

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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