Paraburkholderia mimosarum (DSM 21841, BCRC 17516, CCUG 54296)

Name: Paraburkholderia mimosarum (DSM 21841, BCRC 17516, CCUG 54296)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1972

Type strain

Strain Designation PAS44

Culture col. no. DSM 21841 BCRC 17516 CCUG 54296 LMG 23256 PAS44

NCBI tax ID(s) 1038869 312026

Special Collections DSMZ CCUG Literature strains

History DSMZ <- LMG <- P. Vandamme, Univ. Ghent, Belgium <- W.-M. Chen, Dept. Seafood Science, Nat. Kaohsiung Marine Univ. Taiwan, China

Links

Paraburkholderia mimosarum PAS44 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from root nodule of Mimosa pigra.

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

Name and taxonomic classification

SI-ID 289546

LMG 23256,BCRC 17516,CCUG 54296,CCRC 17516,NBRC 106338,DSM 21841

@ref 20215

Last LPSN update 2026-05-29 08:25:23

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Paraburkholderia

Species Paraburkholderia mimosarum

Full scientific name Paraburkholderia mimosarum (Chen et al. 2006) Sawana et al. 2015

Synonyms (1)

Burkholderia mimosarum

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31805	negative	0.8-2 µm	0.5-0.7 µm	rod-shaped
125438	negative				96
125439	negative				91.813

Colony morphology

@ref	Incubation period
15984	2-3 days
60128	2 days

Pigmentation

31805

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15984	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
15984	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
15984	positive	growth	30
31805	positive	growth	28-37
31805	positive	optimum	28-37
60128	positive	growth	30

Culture pH

@ref	Ability	Type	PH
31805	positive	optimum	7
31805	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31805	aerobe
60128	aerobe
125439	obligate aerobe	98.236

Spore formation

@ref	Spore formation	Confidence
31805
125439		98.535

Observation

31805

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
31805	22599 ChEBI	arabinose	+	carbon source
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
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
68369	27689 ChEBI	decanoate	+	assimilation	from API 20NE
68369	4853 ChEBI	esculin	-	hydrolysis	from API 20NE
68369	5291 ChEBI	gelatin	-	hydrolysis	from API 20NE
68369	24265 ChEBI	gluconate	+	assimilation	from API 20NE
31805	17234 ChEBI	glucose	+	carbon source
68369	30849 ChEBI	L-arabinose	+	assimilation	from API 20NE
31805	25115 ChEBI	malate	+	carbon source
68369	25115 ChEBI	malate	+	assimilation	from API 20NE
68369	17306 ChEBI	maltose	-	assimilation	from API 20NE
31805	29864 ChEBI	mannitol	+	carbon source
31805	506227 ChEBI	N-acetylglucosamine	+	carbon source
68369	59640 ChEBI	N-acetylglucosamine	+	assimilation	from API 20NE
68369	17632 ChEBI	nitrate	+	reduction	from API 20NE
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
31805	catalase	+	1.11.1.6
31805	cytochrome oxidase	+	1.9.3.1
68369	cytochrome oxidase	-	1.9.3.1	from API 20NE
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
15984	+	+	-	-	-	-	-	+	+	+	+	+	+	-	+	+	-	+	+/-	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Shrub (Scrub)
#Host Body-Site	#Plant	#Root nodule

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
15984	root nodule of Mimosa pigra	Mimosa pigra	Taiwan	Taiwan, Province of China	TWN	Asia
60128	Root nodules of Mimosa pigra		Anso	Taiwan, Province of China	TWN	Asia

Taxonmaps

69479

Global distribution of 16S sequence HQ849089 (>99% sequence identity) for Paraburkholderia mimosarum subclade from Microbeatlas

Aquatic Samples	57
Soil Samples	535
Animal Samples	152
Plant Samples	145
Total Samples	889

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15984	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	ASM47282v1 assembly for Paraburkholderia mimosarum LMG 23256 = NBRC 106338	scaffold	GCA_000472825	1038869.3	2513237083	1038869	25.06
66792	ASM90283372v1 assembly for Paraburkholderia mimosarum LMG 23256	scaffold	GCA_902833725	312026.4	8003955200	312026	24.52
66792	ASM73981v1 assembly for Paraburkholderia mimosarum LMG 23256 = NBRC 106338	contig	GCA_000739815	1218082.3	2600255063	1038869	0.3

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Burkholderia mimosarum strain LMG 23256 16S ribosomal RNA gene, partial sequence	HQ849089	1124		312026
15984	Burkholderia mimosarum strain PAS44 16S ribosomal RNA gene, partial sequence	AY752958	1439		312026

GC content

31805

GC-content (mol%)63.8-64.8

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM47282v1 assembly for Paraburkholderia mimosarum LMG 23256 = NBRC 106338
BV-BRC: 1038869.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.24	no
125439	gram_stain	BacteriaNetⓘ	negative	91.81	no
125439	motility	BacteriaNetⓘ	yes	55.73	no
125439	spore_formation	BacteriaNetⓘ	no	98.54	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paraburkholderia mimosarum LMG 23256 = NBRC 106338 LMG 23256
NCBI: GCA_000472825.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.00	yes
125438	anaerobic	anaerobicⓘ	no	95.21	no
125438	aerobic	aerobicⓘ	yes	86.96	yes
125438	spore-forming	spore-formingⓘ	no	88.17	no
125438	thermophilic	thermophileⓘ	no	98.49	yes
125438	flagellated	motile2+ⓘ	yes	86.72	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	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
	Genomic Assemblies of Members of Burkholderia and Related Genera as a Resource for Natural Product Discovery.	Mullins AJ, Jones C, Bull MJ, Webster G, Parkhill J, Connor TR, Murray JAH, Challis GL, Mahenthiralingam E.	Microbiol Resour Announc	10.1128/mra.00485-20	2020
	A Third Class: Functional Gibberellin Biosynthetic Operon in Beta-Proteobacteria.	Nagel R, Bieber JE, Schmidt-Dannert MG, Nett RS, Peters RJ	Front Microbiol	10.3389/fmicb.2018.02916	2018
Genetics	Genome sequence of Burkholderia mimosarum strain LMG 23256(T), a Mimosa pigra microsymbiont from Anso, Taiwan.	Willems A, Tian R, Brau L, Goodwin L, Han J, Liolios K, Huntemann M, Pati A, Woyke T, Mavrommatis K, Markowitz V, Ivanova N, Kyrpides N, Reeve W	Stand Genomic Sci	10.4056/sigs.4848627	2013
Phylogeny	Burkholderia spp. are the most competitive symbionts of Mimosa, particularly under N-limited conditions.	Elliott GN, Chou JH, Chen WM, Bloemberg GV, Bontemps C, Martinez-Romero E, Velazquez E, Young JP, Sprent JI, James EK	Environ Microbiol	10.1111/j.1462-2920.2008.01799.x	2008
Phylogeny	Burkholderia mimosarum sp. nov., isolated from root nodules of Mimosa spp. from Taiwan and South America.	Chen WM, James EK, Coenye T, Chou JH, Barrios E, de Faria SM, Elliott GN, Sheu SY, Sprent JI, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.64325-0	2006

References

#15984	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21841
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#28074	IJSEM 1847 2006 ( DOI 10.1099/ijs.0.64325-0 , PubMed 16902019 )
#31805	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 #28074
#60128	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54296
#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 .
#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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About us

Paraburkholderia mimosarum (DSM 21841, BCRC 17516, CCUG 54296)

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

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000472825

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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