Cite this strain

Proteus vulgaris (DSM 103498, 65490/2016)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131880

Type strain

Strain Designation 65490/2016

Culture col. no. DSM 103498 65490/2016

NCBI tax ID(s) 585

Special Collections DSMZ DZIF

Links

Name and taxonomic classification

Proteus vulgaris 65490/2016 is a mesophilic, Gram-negative bacterium that has multiple antibiotic resistances and was isolated from urine.

antibiotic resistance Gram-negative mesophilic genome sequence Bacteria

SI-ID 397967

DSM 103498

Last LPSN update 2024-12-09 10:49:06

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Morganellaceae

Genus Proteus

Species Proteus vulgaris

Full scientific name Proteus vulgaris Hauser 1885 (Approved Lists 1980)

BacDive ID	Other strains from **Proteus vulgaris** (36)	Type strain
5069	P. vulgaris PR 1, DSM 13387, ATCC 29905, CDC PR1, CIP ... (type strain)
5066	P. vulgaris DSM 2140, ATCC 8427
5067	P. vulgaris KS, DSM 3265, IFO 3045, NBRC 3045
5068	P. vulgaris DSM 13625, IMI 358534
5070	P. vulgaris Ox 19, DSM 46228, IMET 10764, SG 2
134601	P. vulgaris OX19, CIP 54.160, NCTC 8313, NCIMB 8261, ...
134602	P. vulgaris OX2, CIP 54.161, NCTC 8311, NCIMB 8259
135462	P. vulgaris 122-86, CIP 102184
135806	P. vulgaris X19 Syrie, CIP A244, CCUG 1644, CCM 1956, ...
137326	P. vulgaris OXL, CIP 54.162, NCTC 4635, NCIMB 11833, ...
137640	P. vulgaris CIP 103558, ATCC 49132
138464	P. vulgaris CIP A232
141245	P. vulgaris CCUG 376
141664	P. vulgaris CCUG 4635, CCUG 18983
141665	P. vulgaris CCUG 4636, CCUG 18985
141667	P. vulgaris CCUG 4639, CCUG 18991
141671	P. vulgaris CCUG 4643
141675	P. vulgaris CCUG 4647, CCUG 19002
141678	P. vulgaris CCUG 4650, CCUG 2148
141679	P. vulgaris CCUG 4654, CCUG 19012
141680	P. vulgaris CCUG 4660
141681	P. vulgaris CCUG 4678, CCUG 19034
141682	P. vulgaris CCUG 4679, CCUG 2150
141683	P. vulgaris CCUG 4682, CCUG 19037
143410	P. vulgaris CCUG 18984
143411	P. vulgaris CCUG 18986
143415	P. vulgaris CCUG 19017
143416	P. vulgaris CCUG 19036, CCUG 4681
146586	P. vulgaris CCUG 31523
148403	P. vulgaris 87B, 8390-93, CCUG 35381, ATCC 51471, CIP ...
148404	P. vulgaris 8385-93, 111B, CCUG 35384, ATCC 51469, CIP ...
148405	P. vulgaris HSCT 3586 T1, 1404-81, CCUG 35385, ATCC 51470, ...
149464	P. vulgaris CCUG 37793
150580	P. vulgaris CCUG 41652
162692	P. vulgaris JCM 20013, IAM 1025
162884	P. vulgaris JCM 20339, IAM 12003, RIMD 1643005

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99.985

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23672	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
23672	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
23672	positive	growth	37	mesophilic

Physiology and metabolism

Enzymes

@ref	Value	Activity	Ec
68368	arginine dihydrolase	-	3.5.3.6	from API 20E
68368	beta-galactosidase	-	3.2.1.23	from API 20E
68368	cytochrome oxidase	-	1.9.3.1	from API 20E
68368	gelatinase	+		from API 20E
68368	lysine decarboxylase	-	4.1.1.18	from API 20E
68368	ornithine decarboxylase	-	4.1.1.17	from API 20E
68368	tryptophan deaminase	+	4.1.99.1	from API 20E
68368	urease	+	3.5.1.5	from API 20E

Metabolite production

@ref	Chebi-ID	Metabolite
68368	15688 ChEBI	acetoin	from API 20E
68368	17997 ChEBI	dinitrogen	from API 20E
68368	16136 ChEBI	hydrogen sulfide	from API 20E
68368	35581 ChEBI	indole	from API 20E
68368	16301 ChEBI	nitrite	from API 20E

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68368	15688 ChEBI	acetoin	+	from API 20E
68368	35581 ChEBI	indole		from API 20E

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68368	27613 ChEBI	amygdalin	+	fermentation	from API 20E
68368	29016 ChEBI	arginine	-	hydrolysis	from API 20E
68368	16947 ChEBI	citrate	+	assimilation	from API 20E
68368	17634 ChEBI	D-glucose	+	fermentation	from API 20E
68368	16899 ChEBI	D-mannitol	-	fermentation	from API 20E
68368	5291 ChEBI	gelatin	+	hydrolysis	from API 20E
68368	30849 ChEBI	L-arabinose	-	fermentation	from API 20E
68368	62345 ChEBI	L-rhamnose	-	fermentation	from API 20E
68368	25094 ChEBI	lysine	-	degradation	from API 20E
68368	28053 ChEBI	melibiose	-	fermentation	from API 20E
68368	17268 ChEBI	myo-inositol	-	fermentation	from API 20E
68368	17632 ChEBI	nitrate	+	reduction	from API 20E
68368	18257 ChEBI	ornithine	-	degradation	from API 20E
68368	30911 ChEBI	sorbitol	-	fermentation	from API 20E
68368	17992 ChEBI	sucrose	+	fermentation	from API 20E
68368	27897 ChEBI	tryptophan	+	energy source	from API 20E
68368	16199 ChEBI	urea	+	hydrolysis	from API 20E

Antibiotic susceptibility testing

	Test 1
@ref	23672
Medium	Mueller-Hinton Agar
Incubation temperature	37
Incubation time	1
Manual_annotation	1
	Inhibition zone diameter in mm
Penicillin G	20
Oxacillin	0
Ampicillin	24
Ticarcillin	34
Mezlocillin	32
Cefalotin	26
Cefazolin	22
Cefotaxime	40
Aztreonam	40-42
Imipenem	28
Tetracycline	18
Chloramphenicol	32
Gentamycin	20
Amikacin	22
Vancomycin	0
Erythromycin	0
Lincomycin	0
Ofloxacin	36
Norfloxacin	38
Colistin	0
Pipemidic acid	26
Nitrofurantoin	10
Bacitracin	0
Polymyxin b	0
Kanamycin	24
Neomycin	16-18
Doxycycline	20
Ceftriaxone	38-40
Clindamycin	0
Fosfomycin	30-32
Moxifloxacin	26
Linezolid	6
Nystatin	0
Quinupristin/dalfopristin	0
Teicoplanin	0
Piperacillin/tazobactam	34

API 20E

@ref	ONPG	ADH (Arg)	LDC (Lys)	ODC	CIT	H2S productionH2S	URE	TDA (Trp)	IND	Acetoin production (Voges Proskauer test)VP	GEL	GLU	MAN	INO	Sor	RHA	SAC	MEL	AMY	ARA	OX	Nitrite productionNO2	Reduction to N2N2	MotilityMOB	Growth on MacConkey mediumMAC	OF-O	OF-F
23672	-	-	-	-	+	+	+	+	+	+	+	+	-	-	-	-	+	-	+	-	-	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Fluids	#Urine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
23672	urine	Göttingen	Germany	DEU	Europe

Safety information

Risk assessment

@ref	Biosafety level	Biosafety level comment
23672	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Proteus vulgaris strain FDAARGOS_1448	585.129	wgs	PATRIC	585

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Proteus vulgaris strain FDAARGOS_1448 strain Not applicable
PATRIC: 585.129

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.99	no
125438	anaerobic	anaerobicⓘ	no	91.76	no
125438	spore-forming	spore-formingⓘ	no	89.23	no
125438	aerobic	aerobicⓘ	no	77.17	no
125438	thermophilic	thermophileⓘ	no	98.45	no
125438	flagellated	motile2+ⓘ	yes	75.31	no

External links

Straininfo Link

@ref	Straininfo	Culture collections
90268	397967	DSM 103498

Culture collection no.

Culture collection no.
DSM 103498
65490/2016

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 )
#23672	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103498
#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) .
#68368	Automatically annotated from API 20E .
#90268	Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID397967.1 )
#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 )

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