Burkholderia territorii (CCUG 65687, LMG 28158, DSM 107636)

Name: Burkholderia territorii (CCUG 65687, LMG 28158, DSM 107636)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 156825

Type strain

Strain Designation MSMB110, R-52241

Culture col. no. CCUG 65687 LMG 28158 DSM 107636 CCUG 6568 MSMB110 1 more

NCBI tax ID(s) 1503055

Special Collections DSMZ CCUG

History DSMZ <- LMG; LMG 28158 <- P. Vandamme, Univ. Ghent, Belgium; R-52241 <- B.J. Currie, Menzies School of Health Research, Darwin, Australia; MSMB110

Links

Burkholderia territorii MSMB110 is an aerobe bacterium that was isolated from Water.

aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 392198

DSM 107636,LMG 28158,CCUG 65687

@ref 20215

Last LPSN update 2026-05-29 08:43:35

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Burkholderia

Species Burkholderia territorii

Full scientific name Burkholderia territorii De Smet et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.985

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
64778	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
64778	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

Culture temp

@ref	Growth	Type	Temperature (°C)
63249	positive	growth	30
64778	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63249	aerobe
125438	aerobe	90.006
125439	obligate aerobe	98.165

Spore formation

@ref	Spore formation	Confidence
125439		98.323

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Environmental	#Aquatic

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
63249	Water	2003	Northern Territory	Australia	AUS	Australia and Oceania
64778	water			Australia	AUS	Australia and Oceania

Taxonmaps

69479

Global distribution of 16S sequence LK023503 (>99% sequence identity) for Burkholderia from Microbeatlas

Aquatic Samples	564
Soil Samples	1055
Animal Samples	1930
Plant Samples	1505
Total Samples	5054

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
64778	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	ASM1683674v1 assembly for Burkholderia territorii DSM 107636	contig	GCA_016836745	1503055.48	8117839072	1503055	72.9
66792	ASM90249903v1 assembly for Burkholderia territorii	contig	GCA_902499035	1503055.46	8113297019	1503055	59.74
66792	ASM90283305v1 assembly for Burkholderia territorii LMG 28158	contig	GCA_902833055	1503055.47	8115419207	1503055	37.16
66792	ASM880211v1 assembly for Burkholderia territorii CCUG 65687	contig	GCA_008802115	1503055.39	8115745585	1503055	0

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
64778	Burkholderia territorii partial 16S rRNA gene, type strain LMG 28158T	LK023503	1443	1503055
124043	Paenibacillus polymyxa strain LSU1 16S ribosomal RNA gene, partial sequence.	MT672506	1440	1503055
124043	Burkholderia territorii strain LMG 28158 16S ribosomal RNA gene, partial sequence.	MN689649	1134	1503055

GC content

@ref	GC-content (mol%)	Method
64778	67	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1683674v1 assembly for Burkholderia territorii DSM 107636
BV-BRC: 1503055.48

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.17	no
125439	gram_stain	BacteriaNetⓘ	negative	86.15	no
125439	motility	BacteriaNetⓘ	yes	61.88	no
125439	spore_formation	BacteriaNetⓘ	no	98.32	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Burkholderia territorii strain CCUG 65687
PATRIC: 1503055.39

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.99	no
125438	anaerobic	anaerobicⓘ	no	98.36	yes
125438	spore-forming	spore-formingⓘ	no	86.94	no
125438	aerobic	aerobicⓘ	yes	90.01	yes
125438	thermophilic	thermophileⓘ	no	99.50	yes
125438	flagellated	motile2+ⓘ	yes	84.95	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	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
Phylogeny	Burkholderia stagnalis sp. nov. and Burkholderia territorii sp. nov., two novel Burkholderia cepacia complex species from environmental and human sources.	De Smet B, Mayo M, Peeters C, Zlosnik JEA, Spilker T, Hird TJ, LiPuma JJ, Kidd TJ, Kaestli M, Ginther JL, Wagner DM, Keim P, Bell SC, Jacobs JA, Currie BJ, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.000251	2015

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 )
#63249	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 65687
#64778	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107636
#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 .
#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 )

Content

About us

Burkholderia territorii (CCUG 65687, LMG 28158, DSM 107636)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_016836745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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