Aurantiacibacter rhizosphaerae (KCTC 62379, JCM 32444)

Name: Aurantiacibacter rhizosphaerae (KCTC 62379, JCM 32444)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164258

Type strain

Culture col. no. KCTC 62379 JCM 32444

NCBI tax ID(s) 2691582

Special Collections JCM KCTC

History JCM <-- S. D. Lee; Jeju Natl. Univ., South Korea; GH3-10.

Links

Aurantiacibacter rhizosphaerae JCM 32444 is a bacterium that was isolated from Rhizosphere mudflat of a halophyte at Dongmak seashore of Gangwha Island.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 26741

KCTC 62379,JCM 32444

@ref 20215

Last LPSN update 2026-05-29 08:45:22

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Aurantiacibacter

Species Aurantiacibacter rhizosphaerae

Full scientific name Aurantiacibacter rhizosphaerae Lee and Kim 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98.681
125438	negative	98.315

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	96.254

Spore formation

@ref	Spore formation	Confidence
125438		92.345
125439		98.955

Observation

67770

Observationquinones: Q-10

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
67770	Rhizosphere mudflat of a halophyte (Suaeda japonica) at Dongmak seashore of Gangwha Island	Suaeda japonica	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence MG905437 (>99% sequence identity) for Aurantiacibacter from Microbeatlas

Aquatic Samples	93
Soil Samples	2
Animal Samples	0
Plant Samples	0
Total Samples	95

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM980700v1 assembly for Aurantiacibacter rhizosphaerae GH3-10	contig	GCA_009807005	2691582.3	2896253425	2691582	73.29

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Aurantiacibacter rhizosphaerae strain GH3-10 16S ribosomal RNA gene, partial sequence	MG905437	1387		2691582

GC content

@ref	GC-content (mol%)	Method
67770	61.6	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM980700v1 assembly for Aurantiacibacter rhizosphaerae GH3-10
NCBI: GCA_009807005

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.25	no
125439	motility	BacteriaNetⓘ	no	65.40	no
125439	gram_stain	BacteriaNetⓘ	negative	98.68	no
125439	spore_formation	BacteriaNetⓘ	no	98.96	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aurantiacibacter rhizosphaerae GH3-10
NCBI: GCA_009807005.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.32	no
125438	anaerobic	anaerobicⓘ	no	92.60	no
125438	aerobic	aerobicⓘ	yes	84.84	no
125438	spore-forming	spore-formingⓘ	no	92.35	no
125438	thermophilic	thermophileⓘ	no	96.29	yes
125438	flagellated	motile2+ⓘ	no	58.29	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aurantiacibacter rhizosphaerae sp. nov., isolated from a rhizosphere mudflat of a halophyte and proposal to reclassify Erythrobacter suaedae Lee et al. 2019. and Erythrobacter flavus Yoon et al. 2003 as Aurantiacibacter suaedae comb. nov. and Qipengyuania flava comb. nov., respectively.	Lee SD, Kim IS	Int J Syst Evol Microbiol	10.1099/ijsem.0.004524	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 )
#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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Aurantiacibacter rhizosphaerae (KCTC 62379, JCM 32444)

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_009807005

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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