Cite this strain

Vibrio sp. (JCM 19064)

Name: Vibrio sp. (JCM 19064)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162397

Type strain

Culture col. no. JCM 19064

NCBI tax ID(s) 1481933

Special Collections JCM

Links

JCM 19064 is a mesophilic prokaryote of the family Vibrionaceae.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 131554

JCM 19064

@ref 20215

Last LPSN update 2025-12-16 10:08:58

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order "Vibrionales"

Family Vibrionaceae

Genus Vibrio

Full scientific name Vibrio Pacini 1854 (Approved Lists 1980)

Synonyms (4)

Allomonas
"Allomonas"
Lucibacterium
Beneckea

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	99.2

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.1

Spore formation

@ref	Spore formation	Confidence
125439		98.9

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM131073v1 assembly for Vibrio sp. JCM 19064	contig	GCA_001310735	1481933.3	2648501233	1481933	10.64

Genome browser: GCA_001310735

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Vibrio sp. JCM 19064
NCBI: GCA_001310735

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.90	no
125439	motility	BacteriaNetⓘ	yes	82.40	no
125439	gram_stain	BacteriaNetⓘ	negative	99.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Vibrio sp. JCM 19064
PATRIC: 1481933.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	95.40	no
125438	spore-forming	spore-formingⓘ	no	85.76	no
125438	aerobic	aerobicⓘ	no	63.84	no
125438	thermophilic	thermophileⓘ	no	99.00	yes
125438	flagellated	motile2+ⓘ	yes	87.37	no

Literature

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;
#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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