Burkholderia lata (CCUG 2857, NCPPB 1961, ATCC 17769)

Name: Burkholderia lata (CCUG 2857, NCPPB 1961, ATCC 17769)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 141543

Type strain

Culture col. no. CCUG 2857 NCPPB 1961 ATCC 17769 LMG 6992

NCBI tax ID(s) 482957

Special Collections CCUG

Links

Burkholderia lata CCUG 2857 is a bacterium that was isolated from Soil.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 3973

LMG 6992,ATCC 17769,CCUG 2857,NCIB 9088,NCPPB 1961,NCIMB 9088

@ref 20215

Last LPSN update 2026-02-09 11:33:57

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Burkholderia

Species Burkholderia lata

Full scientific name Burkholderia lata Vanlaere et al. 2009

BacDive ID	Other strains from **Burkholderia lata** (2)	Type strain
1990	B. lata 383, 61, DSM 23089, ATCC 17760, CCUG 55525, ... (type strain)
154612	B. lata CCUG 54572, NRRL B-2320, ATCC 17460, LMG ...

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98
125439	negative	95

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99

Spore formation

@ref	Spore formation	Confidence
125439		96.9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
44592	Soil	1960	Trinidad	Trinidad and Tobago	TTO	Middle and South America

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM90250045v1 assembly for Burkholderia lata LMG 6992	contig	GCA_902500455	482957.70	482957	70.58

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Burkholderia lata LMG 6992
NCBI: GCA_902500455

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.90	no
125439	motility	BacteriaNetⓘ	yes	78.20	no
125439	gram_stain	BacteriaNetⓘ	negative	95.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Burkholderia lata strain LMG 6992
PATRIC: 482957.70

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	98.32	no
125438	spore-forming	spore-formingⓘ	no	85.18	no
125438	aerobic	aerobicⓘ	yes	89.11	no
125438	thermophilic	thermophileⓘ	no	98.00	no
125438	flagellated	motile2+ⓘ	yes	85.32	no

Literature

Title	Authors	Journal	DOI	Year
Burkholderia cepacia Complex Taxon K: Where to Split?	Depoorter E, De Canck E, Peeters C, Wieme AD, Cnockaert M, Zlosnik JEA, LiPuma JJ, Coenye T, Vandamme P.	Front Microbiol	10.3389/fmicb.2020.01594	2020
Effect of beta-Lactamase inhibitors on in vitro activity of beta-Lactam antibiotics against Burkholderia cepacia complex species.	Everaert A, Coenye T.	Antimicrob Resist Infect Control	10.1186/s13756-016-0142-3	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 )
#44592	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 2857
#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) .
#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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Burkholderia lata (CCUG 2857, NCPPB 1961, ATCC 17769)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_902500455

Genome-based predictions

Predictions

Literature

Literature

References

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