Hypericibacter adhaerens (DSM 109817, R5959)

Name: Hypericibacter adhaerens (DSM 109817, R5959)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159534

Type strain

Strain Designation R5959

Culture col. no. DSM 109817 R5959

NCBI tax ID(s) 2602016

Special Collections DSMZ

History DSMZ <- J. Pascual, Leibniz-Institut DSMZ GmbH, Braunschweig, Germany; R5959 <- Z. Noviana, Leibniz Institute of Plant Biochemistry; R5959

Links

Hypericibacter adhaerens R5959 is a bacterium of the family Rhodospirillaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 402575

CECT 9620,DSM 109817

@ref 20215

Last LPSN update 2026-05-29 08:44:13

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Rhodospirillaceae

Genus Hypericibacter

Species Hypericibacter adhaerens

Full scientific name Hypericibacter adhaerens Noviana et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	95

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66360	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
66360	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.37

Spore formation

@ref	Spore formation	Confidence
125439		97.363

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM872883v1 assembly for Hypericibacter adhaerens R5959	complete	GCA_008728835	2602016.3	2883354860	2602016	97.75

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66360	Hypericibacter adhaerens strain R5959 16S ribosomal RNA gene, partial sequence	MH450230	1441		2602016

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM872883v1 assembly for Hypericibacter adhaerens R5959
NCBI: GCA_008728835

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.37	no
125439	gram_stain	BacteriaNetⓘ	negative	88.47	no
125439	spore_formation	BacteriaNetⓘ	no	97.36	no
125439	motility	BacteriaNetⓘ	yes	54.65	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Hypericibacter adhaerens R5959
NCBI: GCA_008728835.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.00	no
125438	anaerobic	anaerobicⓘ	no	92.15	no
125438	aerobic	aerobicⓘ	yes	81.93	no
125438	spore-forming	spore-formingⓘ	no	89.82	no
125438	thermophilic	thermophileⓘ	no	94.22	yes
125438	flagellated	motile2+ⓘ	yes	71.45	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Hypericibacter terrae gen. nov., sp. nov. and Hypericibacter adhaerens sp. nov., two new members of the family Rhodospirillaceae isolated from the rhizosphere of Hypericum perforatum.	Noviana Z, Vieira S, Pascual J, Fobofou SAT, Rohde M, Sproer C, Bunk B, Overmann J	Int J Syst Evol Microbiol	10.1099/ijsem.0.003983	2020

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 )
#66360	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 109817
#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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Hypericibacter adhaerens (DSM 109817, R5959)

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

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_008728835

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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