Rubricella aquisinus (DSM 103377, CCTCC AB 2016170, J82)

Name: Rubricella aquisinus (DSM 103377, CCTCC AB 2016170, J82)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140285

Type strain

Strain Designation J82

Culture col. no. DSM 103377 CCTCC AB 2016170 J82

NCBI tax ID(s) 2028108

Special Collections DSMZ

History DSMZ <- L. Yang, Qingdao Institute of Bioenergy & Bioprocess Technology, Chinese Academy of Sciences (CAS), Qingdao; J82 <- L. Tang; J82

Links

Rubricella aquisinus J82 is a bacterium that was isolated from seawater.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 402844

DSM 103377

@ref 20215

Last LPSN update 2026-05-29 08:39:41

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Rubricella

Species Rubricella aquisinus

Full scientific name Rubricella aquisinus Yang et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
42892	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
42892	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		93.191

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
42892	seawater	Qingdao, coast of Yellow Sea, Jiaozhou Bay	China	CHN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
42892	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1419944v1 assembly for Rubricella aquisinus DSM 103377	scaffold	GCA_014199445	2028108.3	2828464391	2028108	73.86

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
42892	Rubricella aquisinus strain J82 16S ribosomal RNA gene, partial sequence	KX082663	1416		2028108

GC content

@ref	GC-content (mol%)	Method
42892	57.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1419944v1 assembly for Rubricella aquisinus DSM 103377
NCBI: GCA_014199445

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	61.75	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	76.34	no
125439	motility	BacteriaNetⓘ	yes	47.31	no
125439	spore_formation	BacteriaNetⓘ	no	93.19	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Rubricella aquisinus DSM 103377
NCBI: GCA_014199445.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.00	no
125438	anaerobic	anaerobicⓘ	no	91.84	no
125438	aerobic	aerobicⓘ	yes	82.68	no
125438	spore-forming	spore-formingⓘ	no	86.49	no
125438	thermophilic	thermophileⓘ	no	93.71	no
125438	flagellated	motile2+ⓘ	yes	59.93	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Rubricella aquisinus gen. nov., sp. nov., a novel member of the family Rhodobacteraceae.	Yang LQ, Tang L, Liu L, Salam N, Li WJ, Liu X, Jin G, Jiao N, Zhang Y	Antonie Van Leeuwenhoek	10.1007/s10482-016-0803-5	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 )
#42892	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103377
#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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Rubricella aquisinus (DSM 103377, CCTCC AB 2016170, J82)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014199445

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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