Aeromonas salmonicida (CIP 63.25, CCEB 382, NCTC 10402)

Name: Aeromonas salmonicida (CIP 63.25, CCEB 382, NCTC 10402)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134776

Type strain

Culture col. no. CIP 63.25 CCEB 382 NCTC 10402 JCM 8062

NCBI tax ID(s) 645

Special Collections JCM CIP

Links

Aeromonas salmonicida CIP 63.25 is a mesophilic prokaryote that was isolated from Country of origin unknown.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 65231

NCTC 10402,JCM 8062,CIP 63.25

@ref 20215

Last LPSN update 2025-12-16 10:02:08

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Aeromonadales

Family Aeromonadaceae

Genus Aeromonas

Species Aeromonas salmonicida

Full scientific name Aeromonas salmonicida (Lehmann and Neumann 1896) Griffin et al. 1953 (Approved Lists 1980)

Synonyms (1)

"Bacterium salmonicida"

BacDive ID	Other strains from **Aeromonas salmonicida** (10)	Type strain
252	A. salmonicida 3007-60, DSM 46293, CCM 1318, IMET 10901
135382	A. salmonicida CIP 67.13
135632	A. salmonicida CIP 63.4, ATCC 14174, NCIMB 833, CCUG 2116, ...
136582	A. salmonicida 950704-2/1, CIP 107106
137107	A. salmonicida CIP 57.50, ATCC 7965, NCTC 7812
137596	A. salmonicida 11.79, CIP 79.40
143262	A. salmonicida CCUG 18106, CCM 6167
143540	A. salmonicida CCUG 19976
152698	A. salmonicida CCUG 47405
165739	A. salmonicida JCM 8063, NCTC 10403

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.7
125438		91.878
125438	negative	99.994

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition
33421	MEDIUM 3 - Columbia agar		Columbia agar (39.000 g);distilled water (1000.000 ml)
33421	CIP Medium 3

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
33421	positive	growth	30	mesophilic
67770	positive	growth	25	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		98.9

Isolation, sampling and environmental information

Isolation

33421

Sample typeCountry of origin unknown

Taxonmaps

69479

Global distribution of 16S sequence LC505474 (>99% sequence identity) for Aeromonas from Microbeatlas

Aquatic Samples	156
Soil Samples	16
Animal Samples	131
Plant Samples	10
Total Samples	313

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
33421	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	53550_E01 assembly for Aeromonas salmonicida NCTC10402	contig	GCA_900445125	645.119	2922027972	645	77.14

Genome browser: GCA_900445125

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Aeromonas salmonicida JCM 8062 gene for 16S ribosomal RNA, partial sequence	LC505474	1467		645

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aeromonas salmonicida NCTC10402
NCBI: GCA_900445125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.90	no
125439	motility	BacteriaNetⓘ	yes	87.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	83.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aeromonas salmonicida strain NCTC10402
PATRIC: 645.119

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.99	no
125438	anaerobic	anaerobicⓘ	no	95.53	no
125438	aerobic	aerobicⓘ	no	70.92	no
125438	spore-forming	spore-formingⓘ	no	89.35	no
125438	thermophilic	thermophileⓘ	no	100.00	yes
125438	flagellated	motile2+ⓘ	yes	91.88	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 )
#33421	Collection of Institut Pasteur ; Curators of the CIP; CIP 63.25
#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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