Cite this strain

Cupriavidus cauae (JCM 34261)

Name: Cupriavidus cauae (JCM 34261)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164749

Type strain

Culture col. no. JCM 34261

NCBI tax ID(s) 2608999

Special Collections JCM

History JCM <-- M.-K. Lee; Chung-Ang Univ., South Korea; MKL-01.

Links

Cupriavidus cauae JCM 34261 is a bacterium that was isolated from Blood of 26-year-old female patient who was receiving chemotherapy for pre-diagnosed acute myeloid leukaemia in the Republic of Korea.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 269369

LMG 32355,JCM 34261

@ref 20215

Last LPSN update 2026-05-29 08:45:29

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Cupriavidus

Species Cupriavidus cauae

Full scientific name Cupriavidus cauae Kweon et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	96.241
125438	negative	98

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.47

Spore formation

@ref	Spore formation	Confidence
125439		99.365

Observation

67770

Observationquinones: Q-8

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Blood of 26-year-old female patient who was receiving chemotherapy for pre-diagnosed acute myeloid leukaemia in the Republic of Korea	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence MN453488 (>99% sequence identity) for Cupriavidus from Microbeatlas

Aquatic Samples	204
Soil Samples	301
Animal Samples	739
Plant Samples	466
Total Samples	1710

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM863212v1 assembly for Cupriavidus cauae MKL-01	scaffold	GCA_008632125	2608999.3	2899850777	2608999	60.88

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Cupriavidus cauae strain MKL-01 16S ribosomal RNA gene, partial sequence	MN453488	1477		2608999

GC content

@ref	GC-content (mol%)	Method
67770	67.87	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM863212v1 assembly for Cupriavidus cauae MKL-01
NCBI: GCA_008632125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	96.24	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.47	no
125439	motility	BacteriaNetⓘ	yes	66.03	no
125439	spore_formation	BacteriaNetⓘ	no	99.37	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cupriavidus cauae MKL-01
NCBI: GCA_008632125.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	98.49	no
125438	aerobic	aerobicⓘ	yes	88.99	no
125438	spore-forming	spore-formingⓘ	no	88.10	no
125438	thermophilic	thermophileⓘ	no	97.36	no
125438	flagellated	motile2+ⓘ	yes	82.52	no

Literature

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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