Aurantiacibacter zhengii (V18, MCCC 1K03475, KCTC 62389)

Name: Aurantiacibacter zhengii (V18, MCCC 1K03475, KCTC 62389)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 166775

Type strain

Strain Designation V18

Culture col. no. V18 MCCC 1K03475 KCTC 62389

NCBI tax ID(s) 2307003

Special Collections KCTC

Links

Aurantiacibacter zhengii V18 is a bacterium of the family Erythrobacteraceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 24488

KCTC 62389

@ref 20215

Last LPSN update 2026-02-09 11:40:25

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Aurantiacibacter

Species Aurantiacibacter zhengii

Full scientific name Aurantiacibacter zhengii (Fang et al. 2019) Xu et al. 2020

Synonyms (1)

Erythrobacter zhengii

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	96.796
125439	negative	99

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	94.9

Spore formation

@ref	Spore formation	Confidence
125439		97.1
125438		90.272

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence MG183678 (>99% sequence identity) for Aurantiacibacter zhengii from Microbeatlas

Aquatic Samples	48
Soil Samples	7
Animal Samples	8
Plant Samples	1
Total Samples	64

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM358412v1 assembly for Aurantiacibacter zhengii V18	contig	GCA_003584125	2307003.3	2896243161	2307003	69.23

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Aurantiacibacter zhengii strain V18 16S ribosomal RNA gene, partial sequence	MG183678	1475		2307003

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aurantiacibacter zhengii V18
NCBI: GCA_003584125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.10	no
125439	motility	BacteriaNetⓘ	no	52.50	no
125439	gram_stain	BacteriaNetⓘ	negative	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	94.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aurantiacibacter zhengii V18
NCBI: GCA_003584125.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.80	no
125438	anaerobic	anaerobicⓘ	no	93.10	no
125438	aerobic	aerobicⓘ	yes	85.25	no
125438	spore-forming	spore-formingⓘ	no	90.27	no
125438	thermophilic	thermophileⓘ	no	96.49	no
125438	flagellated	motile2+ⓘ	yes	61.25	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Erythrobacter zhengii sp. nov., a bacterium isolated from deep-sea sediment.	Fang C, Wu YH, Sun C, Wang H, Cheng H, Meng FX, Wang CS, Xu XW	Int J Syst Evol Microbiol	10.1099/ijsem.0.003136	2018

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) .
#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 zhengii (V18, MCCC 1K03475, KCTC 62389)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003584125

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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