Halomonas stevensii (DSM 21198, KCTC 22148, S18214)

Name: Halomonas stevensii (DSM 21198, KCTC 22148, S18214)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6075

Type strain

Strain Designation S18214

Culture col. no. DSM 21198 KCTC 22148 S18214

NCBI tax ID(s) 502821

Special Collections DSMZ KCTC Literature strains

History <- K. K. Kim, KCTC; S18214 <- D. A. Stevens, Santa Clara Valley Medical Center (SCVMC), San Jose, California, USA

Links

Halomonas stevensii S18214 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from blood of a renal care patient.

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

Name and taxonomic classification

SI-ID 407909

KCTC 22148,DSM 21198

@ref 20215

Last LPSN update 2026-02-09 11:19:07

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Oceanospirillales

Family Halomonadaceae

Genus Halomonas

Species Halomonas stevensii

Full scientific name Halomonas stevensii Kim et al. 2010

Synonyms (1)

Vreelandella stevensii

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29031	negative	2.5 µm	1 µm	rod-shaped
125438	negative				100
125439	negative				99.4

Pigmentation

29031

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15440	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)	Range
15440	positive	growth	28	mesophilic
29031	positive	growth	10-40
29031	positive	optimum	32.5	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
29031	positive	optimum	8.5
29031	positive	growth	07-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

29031

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
29031
125438		90.053
125439		99.3

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29031	NaCl	positive	growth	0-20 %
29031	NaCl	positive	optimum	5.25 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29031	30089 ChEBI	acetate	+	carbon source
29031	16449 ChEBI	alanine	+	carbon source
29031	16947 ChEBI	citrate	+	carbon source
29031	16236 ChEBI	ethanol	+	carbon source
29031	28757 ChEBI	fructose	+	carbon source
29031	24265 ChEBI	gluconate	+	carbon source
29031	17234 ChEBI	glucose	+	carbon source
29031	17754 ChEBI	glycerol	+	carbon source
29031	25115 ChEBI	malate	+	carbon source
29031	17306 ChEBI	maltose	+	carbon source
29031	17268 ChEBI	myo-inositol	+	carbon source
29031	26271 ChEBI	proline	+	carbon source
29031	17272 ChEBI	propionate	+	carbon source
29031	17822 ChEBI	serine	+	carbon source
29031	30031 ChEBI	succinate	+	carbon source
29031	17992 ChEBI	sucrose	+	carbon source
29031	27082 ChEBI	trehalose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
29031	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
29031	catalase	+	1.11.1.6
29031	cytochrome oxidase	+	1.9.3.1
29031	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Patient	-
#Host Body Product	#Fluids	#Blood

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
15440	blood of a renal care patient	California, San Jose, Santa Clara Valley Medical Center	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence AM941388 (>99% sequence identity) for Halomonas from Microbeatlas

Aquatic Samples	3901
Soil Samples	614
Animal Samples	4865
Plant Samples	81
Total Samples	9461

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
15440	yes, in single cases	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	162.HSS18214.1 assembly for Vreelandella stevensii S18214	contig	GCA_000275725	1177117.3	2551306145	1177117	68.99

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15440	Halomonas stevensii S18214 partial 16S rRNA gene, type strain S18214T	AM941388	1455		1177117

GC content

@ref	GC-content (mol%)	Method
15440	62.0	high performance liquid chromatography (HPLC)
29031	62

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Halomonas stevensii S18214
NCBI: GCA_000275725

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.30	no
125439	motility	BacteriaNetⓘ	yes	89.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	82.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Halomonas stevensii S18214
PATRIC: 1177117.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	yes
125438	anaerobic	anaerobicⓘ	no	96.78	yes
125438	spore-forming	spore-formingⓘ	no	90.05	no
125438	aerobic	aerobicⓘ	yes	84.16	yes
125438	thermophilic	thermophileⓘ	no	94.87	yes
125438	flagellated	motile2+ⓘ	yes	82.99	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation List no. 216. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006229	2024
Genetics	Draft genome sequence of the human pathogen Halomonas stevensii S18214T.	Kim KK, Lee KC, Jeong H, Stevens DA, Lee JS	J Bacteriol	10.1128/JB.01071-12	2012
Pathogenicity	O-chain structure from the lipopolysaccharide of the human pathogen Halomonas stevensii strain S18214.	Pieretti G, Carillo S, Kim KK, Lee KC, Lee JS, Lanzetta R, Parrilli M, Corsaro MM	Carbohydr Res	10.1016/j.carres.2010.11.023	2010
Phylogeny	Halomonas montanilacus sp. nov., isolated from hypersaline Lake Pengyanco on the Tibetan Plateau.	Lu H, Xing P, Zhai L, Li H, Wu Q	Int J Syst Evol Microbiol	10.1099/ijsem.0.004109	2020
Phylogeny	Halomonas songnenensis sp. nov., a moderately halophilic bacterium isolated from saline and alkaline soils.	Jiang J, Pan Y, Hu S, Zhang X, Hu B, Huang H, Hong S, Meng J, Li C, Wang K	Int J Syst Evol Microbiol	10.1099/ijs.0.056499-0	2014
Phylogeny	Halomonas stevensii sp. nov., Halomonas hamiltonii sp. nov. and Halomonas johnsoniae sp. nov., isolated from a renal care centre.	Kim KK, Lee KC, Oh HM, Lee JS	Int J Syst Evol Microbiol	10.1099/ijs.0.004424-0	2009

References

#15440	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21198
#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 )
#25461	IJSEM 369 2010 ( DOI 10.1099/ijs.0.004424-0 , PubMed 19651714 )
#29031	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 #25461
#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) .
#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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Halomonas stevensii (DSM 21198, KCTC 22148, S18214)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

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

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000275725

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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