Paraburkholderia sabiae (DSM 23623, BCRC 17587, LMG 24235)

Name: Paraburkholderia sabiae (DSM 23623, BCRC 17587, LMG 24235)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1988

Type strain

Culture col. no. DSM 23623 BCRC 17587 LMG 24235 CCUG 58093 BR Br3407 1 more

NCBI tax ID(s) 273251

Special Collections DSMZ CCUG Literature strains

History <- LMG <- P. Vandamme, University Ghent, Laboratory of Microbiology <- W.-M. Chen, Natl. Kaohsiung Marine Univ. Taiwan <- S. M. de Faria, EMBRAPA-Agrobiologia Brazil; Br3407

Links

Paraburkholderia sabiae DSM 23623 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from root nodule of Mimosa caesalpiniifolia.

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

Name and taxonomic classification

SI-ID 307396

BCRC 17587,CCRC 17587,LMG 24235,CCUG 58093,DSM 23623

@ref 20215

Last LPSN update 2026-02-09 11:18:13

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Paraburkholderia

Species Paraburkholderia sabiae

Full scientific name Paraburkholderia sabiae (Chen et al. 2008) Sawana et al. 2015

Synonyms (1)

Burkholderia sabiae

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32630	negative	0.6-1.5 µm	0.4-0.6 µm	rod-shaped
125438	negative				96.982

Colony morphology

17184

Type of hemolysisgamma

Pigmentation

32630

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17184	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17184	positive	growth	30
32630	positive	growth	28-37
32630	positive	optimum	28
61593	positive	growth	28

Culture pH

@ref	Ability	Type	PH
32630	positive	optimum	7
32630	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
32630	aerobe
61593	aerobe
125439	obligate aerobe	99.2

Spore formation

32630

Spore formationno

Observation

32630

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
32630	22599 ChEBI	arabinose	+	carbon source
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
32630	16947 ChEBI	citrate	+	carbon source
68369	17634 ChEBI	D-glucose	+	assimilation	from API 20NE
68369	17634 ChEBI	D-glucose	-	fermentation	from API 20NE
68369	16899 ChEBI	D-mannitol	+	assimilation	from API 20NE
68369	16024 ChEBI	D-mannose	+	assimilation	from API 20NE
32630	27689 ChEBI	decanoate	+	carbon source
68369	27689 ChEBI	decanoate	+	assimilation	from API 20NE
68369	4853 ChEBI	esculin	-	hydrolysis	from API 20NE
68369	5291 ChEBI	gelatin	-	hydrolysis	from API 20NE
32630	24265 ChEBI	gluconate	+	carbon source
68369	24265 ChEBI	gluconate	+	assimilation	from API 20NE
32630	17234 ChEBI	glucose	+	carbon source
68369	30849 ChEBI	L-arabinose	+	assimilation	from API 20NE
32630	25115 ChEBI	malate	+	carbon source
68369	25115 ChEBI	malate	+	assimilation	from API 20NE
68369	17306 ChEBI	maltose	-	assimilation	from API 20NE
32630	29864 ChEBI	mannitol	+	carbon source
32630	37684 ChEBI	mannose	+	carbon source
68369	59640 ChEBI	N-acetylglucosamine	+	assimilation	from API 20NE
68369	17632 ChEBI	nitrate	+	reduction	from API 20NE
32630	18401 ChEBI	phenylacetate	+	carbon source
68369	27897 ChEBI	tryptophan	-	energy source	from API 20NE
68369	16199 ChEBI	urea	-	hydrolysis	from API 20NE

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68369	35581 ChEBI	indole		from API 20NE

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68369	35581 ChEBI	indole	-	from API 20NE

Enzymes

@ref	Value	Activity	Ec
68369	arginine dihydrolase	-	3.5.3.6	from API 20NE
68369	beta-glucosidase	-	3.2.1.21	from API 20NE
17184	catalase	+	1.11.1.6
32630	catalase	+	1.11.1.6
32630	cytochrome oxidase	+	1.9.3.1
17184	cytochrome-c oxidase	+	1.9.3.1
68369	gelatinase	-		from API 20NE
68369	urease	-	3.5.1.5	from API 20NE

API 20NE

@ref	Reduction of nitratesNO3	TRP	GLU_ Ferm	ADH (Arg)	URE	ESC	GEL	PNPG	GLU_ Assim	ARA	MNE	MAN	NAG	MAL	GNT	CAP	ADI	MLT	CIT	PAC	OX
17184	+	-	-	-	-	-	-	+	+	+	+	+	+	-	+	+	-	+	+	+	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Root nodule

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent	Sampling date
17184	root nodule of Mimosa caesalpiniifolia	Mimosa caesalpiniifolia	Brazil	BRA	Middle and South America
61593	Root nodules of Mimosa caesalpiniifolia		Brazil	BRA	Middle and South America	2000

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17184	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
124043	ASM3041278v1 assembly for Paraburkholderia sabiae LMG 24235	complete	GCA_030412785	273251.11	8119319223	273251	98.13
66792	LMG 24235 assembly for Paraburkholderia sabiae LMG 24235	contig	GCA_904848645	273251.3	2996260335	273251	46.94
124043	ASM4267634v1 assembly for Paraburkholderia sabiae CCUG 58093	scaffold	GCA_042676345			273251	43.7

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17184	Burkholderia sabiae strain Br3407 16S ribosomal RNA gene, partial sequence	AY773186	1483		273251

GC content

32630

GC-content (mol%)64.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paraburkholderia sabiae LMG 24235
NCBI: GCA_904848645

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	89.30	no
125439	motility	BacteriaNetⓘ	yes	62.70	no
125439	gram_stain	BacteriaNetⓘ	negative	85.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paraburkholderia sabiae strain LMG 24235
PATRIC: 273251.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.98	yes
125438	anaerobic	anaerobicⓘ	no	95.33	yes
125438	spore-forming	spore-formingⓘ	no	86.60	yes
125438	aerobic	aerobicⓘ	yes	87.35	no
125438	thermophilic	thermophileⓘ	no	97.50	no
125438	flagellated	motile2+ⓘ	yes	84.21	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Paraburkholderia sabiae administration alters zebrafish anxiety-like behavior via gut microbial taurine metabolism.	Ichikawa S, Abe R, Fujimoto H, Higashi K, Zang L, Nakayama H, Matsuoka I, Shimada Y.	Front Microbiol	10.3389/fmicb.2023.1079187	2023
	Molecular signatures and phylogenomic analysis of the genus Burkholderia: proposal for division of this genus into the emended genus Burkholderia containing pathogenic organisms and a new genus Paraburkholderia gen. nov. harboring environmental species.	Sawana A, Adeolu M, Gupta RS.	Front Genet	10.3389/fgene.2014.00429	2014
Phylogeny	Burkholderia sabiae sp. nov., isolated from root nodules of Mimosa caesalpiniifolia.	Chen WM, de Faria SM, Chou JH, James EK, Elliott GN, Sprent JI, Bontemps C, Young JP, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.65816-0	2008

References

#17184	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23623
#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 )
#28841	IJSEM 2174 2008 ( DOI 10.1099/ijs.0.65816-0 , PubMed 18768625 )
#32630	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 #28841
#61593	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58093
#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) .
#68369	Automatically annotated from API 20NE .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Paraburkholderia sabiae (DSM 23623, BCRC 17587, LMG 24235)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20NE

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_030412785

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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