Novosphingobium arabidopsis (BCRC 80571, JCM 18896)

Name: Novosphingobium arabidopsis (BCRC 80571, JCM 18896)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162324

Type strain

Culture col. no. BCRC 80571 JCM 18896

NCBI tax ID(s) 1305696

Special Collections JCM

History JCM <-- C.-C. Young; Natl. Chung Hsing Univ., Taiwan; CC-ALB-2.

Links

Novosphingobium arabidopsis JCM 18896 is a bacterium that was isolated from Rhizosphere of Arabidopsis thaliana.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 286293

BCRC 80571,JCM 18896

@ref 20215

Last LPSN update 2026-05-29 08:44:54

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Novosphingobium

Species Novosphingobium arabidopsis

Full scientific name Novosphingobium arabidopsis Lin et al. 2014

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	93.298
125438	negative	96.069

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.156

Spore formation

@ref	Spore formation	Confidence
125439		99.316

Observation

67770

Observationquinones: Q-10

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Rhizosphere of Arabidopsis thaliana	Arabidopsis thaliana

Taxonmaps

69479

Global distribution of 16S sequence KC479803 (>99% sequence identity) for Novosphingobium arabidopsis subclade from Microbeatlas

Aquatic Samples	61
Soil Samples	17
Animal Samples	6
Plant Samples	23
Total Samples	107

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM2593809v1 assembly for Novosphingobium sp. JCM 18896 ALB-2	contig	GCA_025938095	2989731.3	8080183040	2989731	69.32

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Novosphingobium arabidopsis strain CC-ALB-2 from Taiwan 16S ribosomal RNA gene, partial sequence	KC479803	1446		1305696

GC content

@ref	GC-content (mol%)	Method
67770	68.8-69	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: ASM2593809v1 assembly for Novosphingobium sp. JCM 18896 ALB-2
NCBI: GCA_025938095

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.16	no
125439	gram_stain	BacteriaNetⓘ	negative	93.30	no
125439	motility	BacteriaNetⓘ	yes	61.33	no
125439	spore_formation	BacteriaNetⓘ	no	99.32	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Novosphingobium sp. JCM 18896 ALB-2
NCBI: GCA_025938095.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.07	no
125438	anaerobic	anaerobicⓘ	no	94.85	no
125438	aerobic	aerobicⓘ	yes	88.63	no
125438	spore-forming	spore-formingⓘ	no	86.69	no
125438	thermophilic	thermophileⓘ	no	98.87	yes
125438	flagellated	motile2+ⓘ	yes	69.48	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Novosphingobium arabidopsis sp. nov., a DDT-resistant bacterium isolated from the rhizosphere of Arabidopsis thaliana.	Lin SY, Hameed A, Liu YC, Hsu YH, Lai WA, Huang HI, Young CC	Int J Syst Evol Microbiol	10.1099/ijs.0.054460-0	2013

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 )
#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) .
#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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Novosphingobium arabidopsis (BCRC 80571, JCM 18896)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_025938095

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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