Acidovorax wautersii (DSM 27981, CCUG 62584, LMG 26971)

Name: Acidovorax wautersii (DSM 27981, CCUG 62584, LMG 26971)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23868

Type strain

Strain Designation NF 1078

Culture col. no. DSM 27981 CCUG 62584 LMG 26971 NF 1078

NCBI tax ID(s) 1177982

Special Collections DSMZ CCUG Literature strains

History <- LMG <- G. Wauters, Université de Louvain; NF 1078

Links

Acidovorax wautersii NF 1078 is an aerobe, Gram-negative, motile bacterium that was isolated from human blood.

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

Name and taxonomic classification

SI-ID 379777

LMG 26971,CCUG 62584,DSM 27981,CFBP 8687

@ref 20215

Last LPSN update 2026-02-09 11:23:49

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Comamonadaceae

Genus Acidovorax

Species Acidovorax wautersii

Full scientific name Acidovorax wautersii Vaneechoutte et al. 2013

Synonyms (1)

Paracidovorax wautersii

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30860	negative	3 µm	0.45 µm	rod-shaped
125439					92.6
125439	negative				99.1
125438	negative				96.5

Pigmentation

30860

Productionno

Multimedia

@ref:	20236
multimedia content:	DSM_27981.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_27981.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
20236	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
20236	positive	growth	28

Physiology and metabolism

Oxygen tolerance

30860

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125439		98.3

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68368	27613 ChEBI	amygdalin	-	fermentation	from API 20E
30860	22599 ChEBI	arabinose	+	carbon source
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
30860	28260 ChEBI	galactose	+	carbon source
68368	5291 ChEBI	gelatin	-	hydrolysis	from API 20E
30860	17234 ChEBI	glucose	+	carbon source
68368	30849 ChEBI	L-arabinose	-	fermentation	from API 20E
68368	62345 ChEBI	L-rhamnose	-	fermentation	from API 20E
30860	17716 ChEBI	lactose	+	carbon source
68368	25094 ChEBI	lysine	-	degradation	from API 20E
30860	29864 ChEBI	mannitol	+	carbon source
68368	28053 ChEBI	melibiose	+	fermentation	from API 20E
68368	17268 ChEBI	myo-inositol	-	fermentation	from API 20E
68368	18257 ChEBI	ornithine	-	degradation	from API 20E
30860	26546 ChEBI	rhamnose	+	carbon source
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
30860	18222 ChEBI	xylose	+	carbon source

Metabolite production

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

Metabolite tests

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

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
30860	catalase	+	1.11.1.6
30860	cytochrome oxidase	+	1.9.3.1
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
30860	urease	+	3.5.1.5
68368	urease	+	3.5.1.5	from API 20E

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
20236	-	-	-	-	+	-	+	-	-	-	-	+	-	-	-	-	-	+	-	-	+	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Blood

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
20236	human blood	Brussels	Belgium	BEL	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
20236	yes, in single cases	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	IMG-taxon 2634166330 annotated assembly for Paracidovorax wautersii DSM 27981	scaffold	GCA_900113035	1177982.3	2634166330	1177982	66.52

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20236	Acidovorax wautersii strain NF1078 16S ribosomal RNA gene, partial sequence	JQ946365	1502		1177982

GC content

20236

GC-content (mol%)67.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paracidovorax wautersii DSM 27981
NCBI: GCA_900113035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	65.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.10	no
125439	motility	BacteriaNetⓘ	yes	92.60	no
125439	spore_formation	BacteriaNetⓘ	no	98.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acidovorax wautersii DSM 27981
NCBI: GCA_900113035.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.50	no
125438	anaerobic	anaerobicⓘ	no	97.73	yes
125438	aerobic	aerobicⓘ	yes	89.69	yes
125438	spore-forming	spore-formingⓘ	no	89.06	no
125438	thermophilic	thermophileⓘ	no	97.78	yes
125438	flagellated	motile2+ⓘ	yes	83.74	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Acidovorax antarcticus sp. nov., isolated from a soil sample of Collins Glacier front, Antarctica.	Xu Q, Peng X, Wang Y, Lu L, Zhang Y, Qin K, Liu J, Peng F	Int J Syst Evol Microbiol	10.1099/ijsem.0.004744	2021
Phylogeny	Description of Acidovorax wautersii sp. nov. to accommodate clinical isolates and an environmental isolate, most closely related to Acidovorax avenae.	Vaneechoutte M, Janssens M, Avesani V, Delmee M, Deschaght P	Int J Syst Evol Microbiol	10.1099/ijs.0.046102-0	2012

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 )
#20236	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27981
#27190	IJSEM 2203 2013 ( DOI 10.1099/ijs.0.046102-0 , PubMed 23148096 )
#30860	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 #27190
#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 .
#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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Acidovorax wautersii (DSM 27981, CCUG 62584, LMG 26971)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20E

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900113035

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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