Malaciobacter marinus (DSM 24769, CECT 7727, KCCM 90072)

Name: Malaciobacter marinus (DSM 24769, CECT 7727, KCCM 90072)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2100

Type strain

Strain Designation CL-S1

Culture col. no. DSM 24769 CECT 7727 KCCM 90072 CL-S1 JCM 15502

NCBI tax ID(s) 505249

Special Collections DSMZ JCM Literature strains

History DSMZ <- JCM <- B. C. Cho, Seoul Natl. Univ., Republic of Korea; CL-S1 JCM <-- B. C. Cho CL-S1.

Links

Malaciobacter marinus CL-S1 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 365311

DSM 24769,JCM 15502,DSM 21465,LMG 25770,CECT 7727,LMG 25634

@ref 20215

Last LPSN update 2026-05-29 08:25:24

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Campylobacterales

Family Arcobacteraceae

Genus Malaciobacter

Species Malaciobacter marinus

Full scientific name Malaciobacter marinus corrig. (Kim et al. 2010) Pérez-Cataluña et al. 2019

Synonyms (2)

Malacobacter marinus
Arcobacter marinus

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29166	negative	1.1 µm	0.2 µm	rod-shaped
125438	negative				97.977
125439	negative				97.563

Colony morphology

@ref	Type of hemolysis	Hemolysis ability	Incubation period
17754	gamma	0	3-7 days

Pigmentation

29166

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17754	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17754	positive	growth	30
29166	positive	growth	10-40
29166	positive	optimum	33.5
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29166	positive	optimum	7
29166	positive	growth	5.9-8.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29166	aerobe
125439	facultative anaerobe	95.049

Spore formation

@ref	Spore formation	Confidence
125438		90.821
125439		98.4

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29166	NaCl	positive	growth	01-09 %
29166	NaCl	positive	optimum	4 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68377	15824 ChEBI	D-fructose	-	builds acid from	from API NH
68377	17634 ChEBI	D-glucose	-	builds acid from	from API NH
68377	17306 ChEBI	maltose	-	builds acid from	from API NH
68377	27897 ChEBI	tryptophan	-	energy source	from API NH
68377	16199 ChEBI	urea	-	hydrolysis	from API NH

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68377	35581 ChEBI	indole		from API NH

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68377	35581 ChEBI	indole	-	from API NH

Enzymes

@ref	Value	Activity	Ec
68377	alkaline phosphatase	-	3.1.3.1	from API NH
68377	beta-lactamase	-	3.5.2.6	from API NH
29166	cytochrome oxidase	+	1.9.3.1
17754	cytochrome-c oxidase	+	1.9.3.1
68377	lipase	-		from API NH
68377	tryptophan deaminase	-	4.1.99.1	from API NH
68377	urease	-	3.5.1.5	from API NH

API NH

@ref	PEN	GLU	FRU	MAL	SAC	ODC	URE	LIP	PAL	beta GAL	ProA	GGT	IND
17754	-	-	-	-	+	-	-	-	-	+/-	+/-	-	-
17754	-	-	-	-	-	+	-	-	-	-	+/-	+/-	-

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
17754	seawater	near Dokdo (island in the East Sea)	Republic of Korea	KOR	Asia
67770	Seawater to which sea weeds and a starfishwere added

Taxonmaps

69479

Global distribution of 16S sequence EU512920 (>99% sequence identity) for Malaciobacter from Microbeatlas

Aquatic Samples	585
Soil Samples	47
Animal Samples	254
Plant Samples	9
Total Samples	895

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17754	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	ASM354485v1 assembly for Malaciobacter marinus JCM 15502	complete	GCA_003544855	505249.19	2847249153	505249	98.36
67770	ASM272349v1 assembly for Malaciobacter marinus CECT 7727	contig	GCA_002723495	505249.8	2854842639	505249	43.93

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17754	Arcobacter marinus strain CL-S1 16S ribosomal RNA gene, partial sequence	EU512920	1426		505249

GC content

@ref	GC-content (mol%)	Method
17754	28	high performance liquid chromatography (HPLC)
29166	28

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM354485v1 assembly for Malaciobacter marinus JCM 15502
BV-BRC: 505249.19

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	95.05	no
125439	gram_stain	BacteriaNetⓘ	negative	97.56	no
125439	motility	BacteriaNetⓘ	no	60.49	no
125439	spore_formation	BacteriaNetⓘ	no	98.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Malaciobacter marinus JCM 15502
NCBI: GCA_003544855.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.98	yes
125438	anaerobic	anaerobicⓘ	no	60.15	yes
125438	aerobic	aerobicⓘ	no	54.78	yes
125438	spore-forming	spore-formingⓘ	no	90.82	no
125438	thermophilic	thermophileⓘ	no	87.06	yes
125438	flagellated	motile2+ⓘ	yes	83.64	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Complete Genome Sequence of the Arcobacter marinus Type Strain JCM 15502.	Miller WG, Yee E, Huynh S, Parker CT	Microbiol Resour Announc	10.1128/MRA.01269-18	2018
Phylogeny	Arcobacter anaerophilus sp. nov., isolated from an estuarine sediment and emended description of the genus Arcobacter.	Sasi Jyothsna TS, Rahul K, Ramaprasad EVV, Sasikala C, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijs.0.054155-0	2013
Phylogeny	Arcobacter marinus sp. nov.	Kim HM, Hwang CY, Cho BC	Int J Syst Evol Microbiol	10.1099/ijs.0.007740-0	2009

References

#17754	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24769
#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 )
#25590	IJSEM 531 2010 ( DOI 10.1099/ijs.0.007740-0 , PubMed 19654359 )
#29166	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 #25590
#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;
#68377	Automatically annotated from API NH .
#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 )

Rate our new design

Content

About us

Malaciobacter marinus (DSM 24769, CECT 7727, KCCM 90072)

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

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API NH

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003544855

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media