Dongia mobilis (CGMCC 1.7660, JCM 15798, LM22)

Name: Dongia mobilis (CGMCC 1.7660, JCM 15798, LM22)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133612

Type strain

Strain Designation LM22

Culture col. no. CGMCC 1.7660 JCM 15798 LM22 BCRC 80546

NCBI tax ID(s) 578943

Special Collections JCM Literature strains

History JCM <-- Z.-P. Liu LM22.

Links

Dongia mobilis LM22 is an aerobe, Gram-negative, motile bacterium that was isolated from batch reactor.

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

Name and taxonomic classification

SI-ID 374138

JCM 15798,CGMCC 1.7660

@ref 20215

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

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Rhodospirillaceae

Genus Dongia

Species Dongia mobilis

Full scientific name Dongia mobilis Liu et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29763	negative	0.6-1 µm	0.3-0.5 µm	rod-shaped
125438	negative				94
125439	negative				94.477

Pigmentation

29763

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29763	positive	growth	20-40
29763	positive	optimum	30-35
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29763	positive	optimum	7-7.5
29763	positive	growth	06-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29763	aerobe
125439	aerobe	90.581

Spore formation

@ref	Spore formation	Confidence
29763
125439		99.09

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29763	NaCl	positive	growth	0.5-2 %
29763	NaCl	positive	optimum	0.5 %

Observation

@ref	Observation
29763	aggregates in chains
67770	quinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29763	22599 ChEBI	arabinose	+	carbon source
29763	17057 ChEBI	cellobiose	+	carbon source
29763	17234 ChEBI	glucose	+	carbon source
29763	17716 ChEBI	lactose	+	carbon source
29763	17306 ChEBI	maltose	+	carbon source
29763	17632 ChEBI	nitrate	+	reduction
29763	16634 ChEBI	raffinose	+	carbon source
29763	17992 ChEBI	sucrose	+	carbon source
29763	18222 ChEBI	xylose	+	carbon source

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	molybdenum cofactor biosynthesis	100	9 of 9
66794	methylglyoxal degradation	100	5 of 5
66794	ppGpp biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	threonine metabolism	100	10 of 10
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	taurine degradation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	Entner Doudoroff pathway	90	9 of 10
66794	valine metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	photosynthesis	85.71	12 of 14
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	vitamin B12 metabolism	85.29	29 of 34
66794	phenylalanine metabolism	84.62	11 of 13
66794	degradation of aromatic, nitrogen containing compounds	83.33	10 of 12
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	proline metabolism	81.82	9 of 11
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	glycine betaine biosynthesis	80	4 of 5
66794	purine metabolism	79.79	75 of 94
66794	alanine metabolism	79.31	23 of 29
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	heme metabolism	78.57	11 of 14
66794	phosphatidylethanolamine bioynthesis	76.92	10 of 13
66794	ketogluconate metabolism	75	6 of 8
66794	isoleucine metabolism	75	6 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	biotin biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	gluconeogenesis	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	pentose phosphate pathway	72.73	8 of 11
66794	glutathione metabolism	71.43	10 of 14
66794	citric acid cycle	71.43	10 of 14
66794	tryptophan metabolism	71.05	27 of 38
66794	arginine metabolism	70.83	17 of 24
66794	glycolysis	70.59	12 of 17
66794	4-hydroxyphenylacetate degradation	70	7 of 10
66794	propionate fermentation	70	7 of 10
66794	leucine metabolism	69.23	9 of 13
66794	methionine metabolism	69.23	18 of 26
66794	pyrimidine metabolism	68.89	31 of 45
66794	degradation of sugar alcohols	68.75	11 of 16
66794	degradation of pentoses	67.86	19 of 28
66794	octane oxidation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	IAA biosynthesis	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	histidine metabolism	65.52	19 of 29
66794	oxidative phosphorylation	64.84	59 of 91
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	non-pathway related	63.16	24 of 38
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	carnitine metabolism	62.5	5 of 8
66794	lysine metabolism	61.9	26 of 42
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	lipid metabolism	61.29	19 of 31
66794	cysteine metabolism	61.11	11 of 18
66794	NAD metabolism	61.11	11 of 18
66794	lipoate biosynthesis	60	3 of 5
66794	3-phenylpropionate degradation	60	9 of 15
66794	tyrosine metabolism	57.14	8 of 14
66794	propanol degradation	57.14	4 of 7
66794	d-mannose degradation	55.56	5 of 9
66794	aspartate and asparagine metabolism	55.56	5 of 9
66794	vitamin B1 metabolism	53.85	7 of 13
66794	urea cycle	53.85	7 of 13
66794	lactate fermentation	50	2 of 4
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	toluene degradation	50	2 of 4
66794	degradation of hexoses	50	9 of 18
66794	carotenoid biosynthesis	50	11 of 22
66794	myo-inositol biosynthesis	50	5 of 10
66794	sulfopterin metabolism	50	2 of 4
66794	kanosamine biosynthesis II	50	1 of 2
66794	chlorophyll metabolism	50	9 of 18
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	glycogen biosynthesis	50	2 of 4
66794	glycine metabolism	50	5 of 10
66794	ribulose monophosphate pathway	50	1 of 2
66794	vitamin E metabolism	50	2 of 4
66794	sphingosine metabolism	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	sulfate reduction	46.15	6 of 13
66794	metabolism of disaccharids	45.45	5 of 11
66794	nitrate assimilation	44.44	4 of 9
66794	lipid A biosynthesis	44.44	4 of 9
66794	degradation of sugar acids	44	11 of 25
66794	polyamine pathway	43.48	10 of 23
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	ascorbate metabolism	40.91	9 of 22
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	factor 420 biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	glycogen metabolism	40	2 of 5
66794	hydrogen production	40	2 of 5
66794	arachidonic acid metabolism	38.89	7 of 18
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	vitamin B6 metabolism	36.36	4 of 11
66794	cholesterol biosynthesis	36.36	4 of 11
66794	d-xylose degradation	36.36	4 of 11
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	allantoin degradation	33.33	3 of 9
66794	starch degradation	30	3 of 10
66794	phenol degradation	30	6 of 20
66794	coenzyme M biosynthesis	30	3 of 10
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	cyclohexanol degradation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	phenylpropanoid biosynthesis	23.08	3 of 13

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Industrial	#Industrial production
#Engineered	#Industrial	#Machines and devices

Isolation

@ref	Sample type
29763	batch reactor
67770	Activated sludge of a sequencing batch reactor for the treatment of malachite green effluent

Taxonmaps

69479

Global distribution of 16S sequence FJ455532 (>99% sequence identity) for Dongia mobilis from Microbeatlas

Aquatic Samples	58
Soil Samples	53
Animal Samples	7
Plant Samples	3
Total Samples	121

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM436323v1 assembly for Dongia mobilis CGMCC 1.7660	scaffold	GCA_004363235	578943.3	2667527396	578943	75.06

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29763	Dongia mobilis strain LM22 16S ribosomal RNA gene, partial sequence	FJ455532	1458		578943

GC content

@ref	GC-content (mol%)	Method
29763	65.6
67770	65.6	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: ASM436323v1 assembly for Dongia mobilis CGMCC 1.7660
BV-BRC: 578943.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	90.58	no
125439	gram_stain	BacteriaNetⓘ	negative	94.48	no
125439	spore_formation	BacteriaNetⓘ	no	99.09	no
125439	motility	BacteriaNetⓘ	yes	47.29	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Dongia mobilis strain CGMCC 1.7660
PATRIC: 578943.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.00	yes
125438	anaerobic	anaerobicⓘ	no	91.40	yes
125438	spore-forming	spore-formingⓘ	no	87.21	yes
125438	aerobic	aerobicⓘ	yes	75.61	no
125438	thermophilic	thermophileⓘ	no	97.36	yes
125438	flagellated	motile2+ⓘ	yes	73.55	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Dongia sedimenti sp. nov., isolated from river sediment.	Jiang X, Ruan L, Wu N, Mao D, He J, Wang S, Jiang J, Shen Q.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006532	2024
Phylogeny	Hypericibacter terrae gen. nov., sp. nov. and Hypericibacter adhaerens sp. nov., two new members of the family Rhodospirillaceae isolated from the rhizosphere of Hypericum perforatum.	Noviana Z, Vieira S, Pascual J, Fobofou SAT, Rohde M, Sproer C, Bunk B, Overmann J	Int J Syst Evol Microbiol	10.1099/ijsem.0.003983	2020
Phylogeny	Dongia mobilis gen. nov., sp. nov., a new member of the family Rhodospirillaceae isolated from a sequencing batch reactor for treatment of malachite green effluent.	Liu Y, Jin JH, Liu YH, Zhou YG, Liu ZP	Int J Syst Evol Microbiol	10.1099/ijs.0.020347-0	2010
Phylogeny	Dongia deserti sp. nov., Isolated from the Gurbantunggut Desert Soil.	Lu CY, Dong L, Wang D, Li S, Fang BZ, Han MX, Liu F, Jiang HC, Ahmed I, Li WJ	Curr Microbiol	10.1007/s00284-022-03051-9	2022

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 )
#26144	IJSEM 2780 2010 ( DOI 10.1099/ijs.0.020347-0 , PubMed 20061488 )
#29763	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 #26144
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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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Dongia mobilis (CGMCC 1.7660, JCM 15798, LM22)

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

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004363235

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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