Vibrio sinensis (KCTC 62618, JCM 32692)

Name: Vibrio sinensis (KCTC 62618, JCM 32692)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164333

Type strain

Culture col. no. KCTC 62618 JCM 32692

NCBI tax ID(s) 2302434

Special Collections JCM KCTC

History M. Yu; Coll. of Mar. Life Sci., Ocean Univ. of China, China; BEI233.

Links

Vibrio sinensis JCM 32692 is a bacterium that was isolated from Surface seawater of the East China Sea .

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 288047

KCTC 62618,JCM 32692

@ref 20215

Last LPSN update 2026-02-09 11:39:49

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order "Vibrionales"

Family Vibrionaceae

Genus Vibrio

Species Vibrio sinensis

Full scientific name Vibrio sinensis Li et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98
125438	negative	98.917

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	24

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.6

Spore formation

@ref	Spore formation	Confidence
125439		97.5

Observation

67770

Observationquinones: Q-8

Isolation, sampling and environmental information

Isolation

67770

Sample typeSurface seawater of the East China Sea (1 m deep; 29.2814° N 122.2839° E)

Taxonmaps

69479

Global distribution of 16S sequence MG797701 (>99% sequence identity) for Vibrio from Microbeatlas

Aquatic Samples	1316
Soil Samples	44
Animal Samples	788
Plant Samples	11
Total Samples	2159

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM360564v1 assembly for Vibrio sinensis BEI233	contig	GCA_003605645	2302434.3	2916711691	2302434	34.94

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Vibrio sinensis strain BEI233 16S ribosomal RNA gene, partial sequence	MG797701	1509		2302434

GC content

@ref	GC-content (mol%)	Method
67770	42.41	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Vibrio sinensis BEI233
NCBI: GCA_003605645

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.50	no
125439	motility	BacteriaNetⓘ	yes	69.70	no
125439	gram_stain	BacteriaNetⓘ	negative	98.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Vibrio sinensis BEI233
NCBI: GCA_003605645.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.92	no
125438	anaerobic	anaerobicⓘ	no	95.21	no
125438	aerobic	aerobicⓘ	no	69.08	no
125438	spore-forming	spore-formingⓘ	no	88.98	no
125438	thermophilic	thermophileⓘ	no	97.46	yes
125438	flagellated	motile2+ⓘ	yes	89.09	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Vibrio sinensis sp. nov. and Vibrio viridaestus sp. nov., two marine bacteria isolated from the East China Sea.	Li Y, Liang J, Liu R, Xue CX, Zhou S, He X, Li B, Wang X, Zhang XH	Int J Syst Evol Microbiol	10.1099/ijsem.0.003842	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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Vibrio sinensis (KCTC 62618, JCM 32692)

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_003605645

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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