Cupriavidus necator (DSM 5536, NRRL B-15940, H850)

Name: Cupriavidus necator (DSM 5536, NRRL B-15940, H850)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2028

Type strain

Strain Designation H850

Culture col. no. DSM 5536 NRRL B-15940 H850

NCBI tax ID(s) 106590

Special Collections DSMZ

History DSMZ <- NRRL <- D.L. Bedard, strain H850

Links

Cupriavidus necator H850 is a bacterium that was isolated from PCB-contaminated soil.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 47940

DSM 5536,NRRL B-15940,NCIMB 13492,NRRL B-15049,CECT 4424

@ref 20215

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

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Cupriavidus

Species Cupriavidus necator

Full scientific name Cupriavidus necator Makkar and Casida 1987

BacDive ID	Other strains from **Cupriavidus necator** (39)	Type strain
2033	C. necator N-1, Jr N-1, DSM 13513, ATCC 43291, CCUG ... (type strain)
330	C. necator 1978, DSM 2625, CCUG 52964, ATCC 33178, LMG ...
1998	C. necator H 1, CCUG 52966, LMG 1200, ATCC 23442, DSM ...
1999	C. necator H 20, DSM 530, ATCC 17700
2001	C. necator H 16 G+1, H 16 G⁺1, DSM 538
2002	C. necator H 16 F 34, DSM 539
2003	C. necator H 16 F 29, DSM 540
2004	C. necator H 16 PHB-4, H 16 PHB^-4, DSM 541
2005	C. necator LH-7, LH^-7, DSM 416
2006	C. necator PH-9, PH^-9, DSM 418
2007	C. necator PH-4, PH^-4, DSM 422
2008	C. necator pHG1, H 16, H16, Wilde H16, strain S-10-1, ...
2009	C. necator H16 25/1, DSM 430
2010	C. necator B 19, DSM 515, JCM 20894, CCUG 13796, IAM ...
2011	C. necator G 27, DSM 516
2012	C. necator G 29, DSM 517
2013	C. necator DSM 518
2014	C. necator H 16 G+7, H 16 G⁺7, DSM 542
2015	C. necator G 29 G+1, G 29 G⁺1, DSM 543
2016	C. necator H 20 G+3, H 20 G⁺3, DSM 544
2017	C. necator H 1 G+3, H 1 G⁺3, DSM 545
2018	C. necator H 1 G+4, H 1 G⁺4, DSM 546
2019	C. necator H 20 G+1, H 20 G⁺1, DSM 547
2020	C. necator H 16 G+3, H 16 G⁺3, DSM 551
2021	C. necator H16 pHS4, DSM 3102
2022	C. necator JMP363 Smr, pJP2, DSM 4056
2023	C. necator JMP364, pJP3, JMP364 Smr, DSM 4057
2024	C. necator JMP134, pJP4, DSM 4058, NCIB 12592
2025	C. necator JMP365, pJP5, JMP365 Smr, DSM 4059
2026	C. necator JMP366, pJP7, JMP366 Smr, DSM 4060
2027	C. necator TA06, DSM 4182
2031	C. necator Bo, Tfa 17, DSM 11098
2032	C. necator H850-4LT, DSM 13439
2034	C. necator C145, DSM 15443
2035	C. necator HF39, DSM 15444
2036	C. necator DSM 30029, ATCC 25207, NRRL B-2804, CCUG ...
162984	C. necator JCM 20695, IAM 12628
163005	C. necator JCM 20908, ATCC 17702, IAM 13548, LMG 1203
163006	C. necator JCM 20909, ATCC 17708, IAM 13549, LMG 1208

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97
125439	negative	96.87

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2091	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
2091	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.109

Spore formation

@ref	Spore formation	Confidence
125438		90.66
125439		99.618

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Contamination	-
#Environmental	#Terrestrial	#Soil

Isolation

2091

Sample typePCB-contaminated soil

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2091	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	ASM966369v2 assembly for Cupriavidus necator H850	scaffold	GCA_009663695	53482.3	2899778174	53482	53.81

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM966369v2 assembly for Cupriavidus necator H850
BV-BRC: 53482.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.11	no
125439	gram_stain	BacteriaNetⓘ	negative	96.87	no
125439	motility	BacteriaNetⓘ	yes	68.12	no
125439	spore_formation	BacteriaNetⓘ	no	99.62	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cupriavidus necator H850
PATRIC: 53482.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.00	no
125438	anaerobic	anaerobicⓘ	no	96.43	no
125438	spore-forming	spore-formingⓘ	no	90.66	no
125438	thermophilic	thermophileⓘ	no	97.99	yes
125438	aerobic	aerobicⓘ	yes	89.88	no
125438	flagellated	motile2+ⓘ	yes	88.13	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Microbial alkyl- and aryl-sulfatases: mechanism, occurrence, screening and stereoselectivities.	Toesch M, Schober M, Faber K.	Appl Microbiol Biotechnol	10.1007/s00253-013-5438-0	2014

References

#2091	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5536
#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 )
#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 )

Rate our new design

Content

About us

Cupriavidus necator (DSM 5536, NRRL B-15940, H850)

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_009663695

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media