Caballeronia arationis (CCUG 68405, LMG 29324, CIP 111007)

Name: Caballeronia arationis (CCUG 68405, LMG 29324, CIP 111007)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 141015

Type strain

Strain Designation R-52627

Culture col. no. CCUG 68405 LMG 29324 CIP 111007 R-52627

NCBI tax ID(s) 1777142

Special Collections CCUG Literature strains CIP

History CIP <- 2016, P. Vandamme, Ghent Univ., Ghent, Belgium: strain R-52627

Links

Caballeronia arationis R-52627 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from Soil.

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

Name and taxonomic classification

SI-ID 411367

LMG 29324,CCUG 68405

@ref 20215

Last LPSN update 2026-05-29 08:39:51

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Caballeronia

Species Caballeronia arationis

Full scientific name Caballeronia arationis (Peeters et al. 2016) Dobritsa et al. 2017

Synonyms (1)

Burkholderia arationis

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
116471	negative	rod-shaped
125438	negative		97.982
125439	negative		90.551

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link
116471	CIP Medium 72		Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
63474	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63474	aerobe
125438	aerobe	92.704
125439	obligate aerobe	99.445

Spore formation

@ref	Spore formation	Confidence
125439		97.393

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Sampling date	Country	Country ISO 3 Code	Continent	Isolation date
63474	Soil	2014	Belgium	BEL	Europe
116471	Environment, Soil		Belgium	BEL	Europe	2014-01-02

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
116471	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM154497v2 assembly for Caballeronia arationis	contig	GCA_001544975	36773.30	2724679462	1777142	0

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	Burkholderia arationis partial 16S rRNA gene, type strain LMG 29324T	LT158622	1483		1777142
124043	Caballeronia arationis strain LMG 29324 16S ribosomal RNA gene, partial sequence.	MN727309	1483		1777142

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM154497v2 assembly for Caballeronia arationis
NCBI: GCA_001544975

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.45	no
125439	gram_stain	BacteriaNetⓘ	negative	90.55	no
125439	motility	BacteriaNetⓘ	yes	49.76	no
125439	spore_formation	BacteriaNetⓘ	no	97.39	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Burkholderia sp. strain LMG 29324
PATRIC: 36773.30

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.98	no
125438	anaerobic	anaerobicⓘ	no	95.68	no
125438	spore-forming	spore-formingⓘ	no	83.31	no
125438	aerobic	aerobicⓘ	yes	92.70	yes
125438	thermophilic	thermophileⓘ	no	97.44	yes
125438	flagellated	motile2+ⓘ	yes	86.13	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Genome Data Provides High Support for Generic Boundaries in Burkholderia Sensu Lato.	Beukes CW, Palmer M, Manyaka P, Chan WY, Avontuur JR, van Zyl E, Huntemann M, Clum A, Pillay M, Palaniappan K, Varghese N, Mikhailova N, Stamatis D, Reddy TBK, Daum C, Shapiro N, Markowitz V, Ivanova N, Kyrpides N, Woyke T, Blom J, Whitman WB, Venter SN, Steenkamp ET.	Front Microbiol	10.3389/fmicb.2017.01154	2017
	Distinctive microbial communities linked with pH and heavy metals in mine drainages across all regions of Japan.	Habe H, Aoyagi T, Hori T, Inaba T, Sato Y, Yasutaka T.	Sci Total Environ	10.1016/j.scitotenv.2025.179222	2025
	Structural and functional coupling in cross-linking uracil-DNA glycosylase UDGX.	Liang C, Yang Y, Ning P, Chang C, Cao W.	Biosci Rep	10.1042/bsr20231551	2024
	Structural Basis for the Asymmetry of a 4-Oxalocrotonate Tautomerase Trimer.	Medellin BP, Lancaster EB, Brown SD, Rakhade S, Babbitt PC, Whitman CP, Zhang YJ.	Biochemistry	10.1021/acs.biochem.0c00211	2020
	Phylogenomic Study of Burkholderia glathei-like Organisms, Proposal of 13 Novel Burkholderia Species and Emended Descriptions of Burkholderia sordidicola, Burkholderia zhejiangensis, and Burkholderia grimmiae.	Peeters C, Meier-Kolthoff JP, Verheyde B, De Brandt E, Cooper VS, Vandamme P	Front Microbiol	10.3389/fmicb.2016.00877	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 )
#43568	Anatoly P. Dobritsa, Elena V. Linardopoulou, Mansour Samadpour: Transfer of 13 species of the genus Burkholderia to the genus Caballeronia and reclassification of Burkholderia jirisanensis as Paraburkholderia jirisanensis comb. nov.. IJSEM 67: 3846 - 3853 2017 ( DOI 10.1099/ijsem.0.002202 , PubMed 28879843 )
#63474	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 68405
#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) .
#116471	Collection of Institut Pasteur ; Curators of the CIP; CIP 111007
#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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Caballeronia arationis (CCUG 68405, LMG 29324, CIP 111007)

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

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001544975

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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