Shewanella sp. (CCUG 39357, NCTC CL 256/73, LMG 2266)

Name: Shewanella sp. (CCUG 39357, NCTC CL 256/73, LMG 2266)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 150238

Type strain

Culture col. no. CCUG 39357 NCTC CL 256/73 LMG 2266 NCTC 12093 IAM 13617 1 more

NCBI tax ID(s) 50422

Special Collections CCUG JCM

History JCM <-- IAM 13617 <-- NCTC 12093 (R. J. Owen CL 256/73) <-- B. Holmes 6.

Links

CCUG 39357 is a bacterium that was isolated from Human cerebrospinal fluid.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 4967

LMG 2266,IAM 13617,CCUG 39357,NCTC 12093,JCM 20962

@ref 20215

Last LPSN update 2026-05-29 08:42:05

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Shewanellaceae

Genus Shewanella

Full scientific name Shewanella MacDonell and Colwell 1986

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	98.891

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	95.951

Spore formation

@ref	Spore formation	Confidence
125438		90.676
125439		99.577

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Cerebrospinal fluid
#Infection	#Patient	-

Isolation

@ref	Sample type	Host species
54762	Human cerebrospinal fluid	Homo sapiens
67770	Cerebro-spinal fluid

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	43781_G01 assembly for Shewanella putrefaciens NCTC12093	complete	GCA_900636665	24.16	24	74.3

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: 43781_G01 assembly for Shewanella putrefaciens NCTC12093
BV-BRC: 24.16

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.95	no
125439	gram_stain	BacteriaNetⓘ	negative	98.89	no
125439	motility	BacteriaNetⓘ	yes	76.64	no
125439	spore_formation	BacteriaNetⓘ	no	99.58	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Shewanella putrefaciens NCTC12093
NCBI: GCA_900636665.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	93.49	no
125438	aerobic	aerobicⓘ	yes	53.21	no
125438	spore-forming	spore-formingⓘ	no	90.68	no
125438	thermophilic	thermophileⓘ	no	99.00	yes
125438	flagellated	motile2+ⓘ	yes	89.67	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 )
#54762	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 39357
#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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