Cite this strain

Vibrio fluvialis (JCM 3740)

Name: Vibrio fluvialis (JCM 3740)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164802

Type strain

Culture col. no. JCM 3740

NCBI tax ID(s) 676

Special Collections JCM

History JCM <-- T. Shimada 99-77.

Links

Vibrio fluvialis JCM 3740 is a bacterium of the family Vibrionaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 64153

JCM 3740

@ref 20215

Last LPSN update 2026-05-29 08:45:30

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order "Vibrionales"

Family Vibrionaceae

Genus Vibrio

Species Vibrio fluvialis

Full scientific name Vibrio fluvialis Lee et al. 1981

Synonyms (1)

Allomonas enterica

BacDive ID	Other strains from **Vibrio fluvialis** (37)	Type strain
17321	V. fluvialis VL 5125, 5125, DSM 19283, ATCC 33809, CCM ... (type strain)
135171	V. fluvialis CIP 70.66
135265	V. fluvialis 40, CIP 108463, VKM B-1485, ATCC 35843
139228	V. fluvialis 40, CIP 103174
142667	V. fluvialis CCUG 13623
142843	V. fluvialis CCUG 15268
143567	V. fluvialis CCUG 20253
143568	V. fluvialis CCUG 20254
143569	V. fluvialis CCUG 20257
143570	V. fluvialis CCUG 20259
143571	V. fluvialis CCUG 20267, ATCC 33812, NCTC 11328, JCM 1282, ...
143572	V. fluvialis CCUG 20268
143573	V. fluvialis CCUG 20271
148146	V. fluvialis CCUG 34900
148147	V. fluvialis CCUG 34901
150827	V. fluvialis CCUG 42499
151010	V. fluvialis CCUG 43034
153879	V. fluvialis CCUG 51484
155176	V. fluvialis CCUG 56799
164795	V. fluvialis JCM 3733
164796	V. fluvialis JCM 3734
164797	V. fluvialis JCM 3735
164798	V. fluvialis JCM 3736
164799	V. fluvialis JCM 3737
164800	V. fluvialis JCM 3738
164801	V. fluvialis JCM 3739
164803	V. fluvialis JCM 3741
164804	V. fluvialis JCM 3742
164805	V. fluvialis JCM 3743
164806	V. fluvialis JCM 3744
164807	V. fluvialis JCM 3745
164808	V. fluvialis JCM 3746
164809	V. fluvialis JCM 3747
164810	V. fluvialis JCM 3748
164811	V. fluvialis JCM 3749
164812	V. fluvialis JCM 3750
164813	V. fluvialis JCM 3751

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	100
125439	negative	92.717

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.923

Spore formation

@ref	Spore formation	Confidence
125439		99.405

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence LC420083 (>99% sequence identity) for Vibrio from Microbeatlas

Aquatic Samples	1720
Soil Samples	168
Animal Samples	1806
Plant Samples	124
Total Samples	3818

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM2139437v1 assembly for Vibrio fluvialis JCM3740	scaffold	GCA_021394375	676.320	676	69.94

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Vibrio fluvialis JCM 3740 gene for 16S ribosomal RNA, partial sequence	LC420083	1475		676

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM2139437v1 assembly for Vibrio fluvialis JCM3740
NCBI: GCA_021394375

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.92	no
125439	motility	BacteriaNetⓘ	yes	74.92	no
125439	gram_stain	BacteriaNetⓘ	negative	92.72	no
125439	spore_formation	BacteriaNetⓘ	no	99.41	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Vibrio fluvialis JCM3740
NCBI: GCA_021394375.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	93.41	no
125438	aerobic	aerobicⓘ	no	68.53	no
125438	spore-forming	spore-formingⓘ	no	88.02	no
125438	thermophilic	thermophileⓘ	no	98.74	yes
125438	flagellated	motile2+ⓘ	yes	87.73	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;
#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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