Maritalea mobilis (CGMCC 1.7002, JCM 15144, E6)

Name: Maritalea mobilis (CGMCC 1.7002, JCM 15144, E6)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133451

Type strain

Strain Designation E6

Culture col. no. CGMCC 1.7002 JCM 15144 E6

NCBI tax ID(s) 483324

Special Collections JCM Literature strains

History JCM <-- Z.-P. Liu E6.

Links

Maritalea mobilis E6 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 28033

JCM 15144

@ref 20215

Last LPSN update 2026-05-29 08:38:05

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Devosiaceae

Genus Maritalea

Species Maritalea mobilis

Full scientific name Maritalea mobilis (Xu et al. 2009) Fukui et al. 2012

Synonyms (1)

Zhangella mobilis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29030	negative	1.8-3.3 µm	0.4-0.7 µm	rod-shaped
125438	negative				95.1
125439	negative				98.18

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29030	positive	growth	04-42
29030	positive	optimum	36
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29030	positive	optimum	8.2
29030	positive	growth	07-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29030	aerobe
125439	obligate aerobe	97.561

Spore formation

@ref	Spore formation	Confidence
29030
125439		99.608
125438		91.69

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29030	NaCl	positive	growth	0.5-7.5 %
29030	NaCl	positive	optimum	2 %

Observation

67770

Observationquinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29030	17057 ChEBI	cellobiose	+	carbon source
29030	4853 ChEBI	esculin	+	hydrolysis
29030	28757 ChEBI	fructose	+	carbon source
29030	28260 ChEBI	galactose	+	carbon source
29030	17234 ChEBI	glucose	+	carbon source
29030	17754 ChEBI	glycerol	+	carbon source
29030	28087 ChEBI	glycogen	+	carbon source
29030	17306 ChEBI	maltose	+	carbon source
29030	37684 ChEBI	mannose	+	carbon source
29030	506227 ChEBI	N-acetylglucosamine	+	carbon source
29030	17632 ChEBI	nitrate	+	reduction
29030	17814 ChEBI	salicin	+	carbon source
29030	17992 ChEBI	sucrose	+	carbon source
29030	27082 ChEBI	trehalose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
29030	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
29030	alkaline phosphatase	+	3.1.3.1
29030	catalase	+	1.11.1.6
29030	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
29030	seawater
67770	Coastal seawater of Tianjin	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU255260 (>99% sequence identity) for Maritalea mobilis subclade from Microbeatlas

Aquatic Samples	341
Soil Samples	6
Animal Samples	33
Plant Samples	1
Total Samples	381

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM436317v1 assembly for Maritalea mobilis CGMCC 1.7002	scaffold	GCA_004363175	483324.5	2617270922	483324	77.14

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29030	Zhangella mobilis strain E6 16S ribosomal RNA gene, partial sequence	EU255260	1448		483324

GC content

@ref	GC-content (mol%)	Method
29030	53.1
67770	53.1	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: ASM436317v1 assembly for Maritalea mobilis CGMCC 1.7002
NCBI: GCA_004363175

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.56	no
125439	gram_stain	BacteriaNetⓘ	negative	98.18	no
125439	motility	BacteriaNetⓘ	yes	67.50	no
125439	spore_formation	BacteriaNetⓘ	no	99.61	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Maritalea mobilis strain CGMCC 1.7002
PATRIC: 483324.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.10	yes
125438	anaerobic	anaerobicⓘ	no	96.87	yes
125438	spore-forming	spore-formingⓘ	no	91.69	no
125438	aerobic	aerobicⓘ	yes	84.34	yes
125438	thermophilic	thermophileⓘ	no	95.99	yes
125438	flagellated	motile2+ⓘ	yes	64.98	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Maritalea porphyrae sp. nov., isolated from a red alga (Porphyra yezoensis), and transfer of Zhangella mobilis to Maritalea mobilis comb. nov.	Fukui Y, Abe M, Kobayashi M, Ishihara K, Oikawa H, Yano Y, Satomi M	Int J Syst Evol Microbiol	10.1099/ijs.0.028704-0	2011
Phylogeny	Zhangella mobilis gen. nov., sp. nov., a new member of the family Hyphomicrobiaceae isolated from coastal seawater.	Xu HY, Chen LP, Fu SZ, Fan HX, Zhou YG, Liu SJ, Liu ZP	Int J Syst Evol Microbiol	10.1099/ijs.0.004366-0	2009

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 )
#25460	IJSEM 2297 2009 ( DOI 10.1099/ijs.0.004366-0 , PubMed 19620375 )
#29030	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 #25460
#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 )

Content

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Maritalea mobilis (CGMCC 1.7002, JCM 15144, E6)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

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_004363175

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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