Cite this strain

Kosakonia cowanii (JCM 14683)

Name: Kosakonia cowanii (JCM 14683)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161521

Type strain

Culture col. no. JCM 14683

NCBI tax ID(s) 208223

Special Collections JCM

History K. Minamisawa B43 (Klebsiella sp.).

Links

Kosakonia cowanii JCM 14683 is a bacterium that was isolated from Seed of wild rice Bu-24.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 131082

JCM 14683

@ref 20215

Last LPSN update 2026-02-09 11:39:10

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Enterobacteriaceae

Genus Kosakonia

Species Kosakonia cowanii

Full scientific name Kosakonia cowanii (Inoue et al. 2001) Brady et al. 2013

Synonyms (1)

Enterobacter cowanii

BacDive ID	Other strains from **Kosakonia cowanii** (5)	Type strain
4376	K. cowanii 888-76, KSK 246, UM-79, KSK246, U11-79, DSM ... (type strain)
156570	K. cowanii CCUG 62758
169529	K. cowanii CLA-AP-13, DSM 111930
176864	K. cowanii CT11-105, DSM 115944
176865	K. cowanii CT11-136, DSM 117384

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.5
125439	negative	98.7

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		96.1

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Seed of wild rice (Oryza sativa) Bu-24	Oryza sativa

Taxonmaps

69479

Global distribution of 16S sequence LC508795 (>99% sequence identity) for Enterobacteriaceae from Microbeatlas

Aquatic Samples	6
Soil Samples	10
Animal Samples	232
Plant Samples	5
Total Samples	253

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
67770	ASM33353v1 assembly for Klebsiella cf. planticola B43	scaffold	GCA_000333535	95610.3	2551306564	95610

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Klebsiella cf. planticola B43 gene for 16S ribosomal RNA	AB027695	690		95610
67770	Klebsiella sp. JCM 14683 gene for 16S ribosomal RNA, partial sequence	LC508795	1464		576

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Klebsiella cf. planticola B43
NCBI: GCA_000333535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.10	no
125439	motility	BacteriaNetⓘ	yes	52.80	no
125439	gram_stain	BacteriaNetⓘ	negative	98.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	81.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Klebsiella cf. planticola B43 B43
NCBI: GCA_000333535.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	91.14	no
125438	aerobic	aerobicⓘ	no	61.19	no
125438	spore-forming	spore-formingⓘ	no	86.88	no
125438	thermophilic	thermophileⓘ	no	96.98	yes
125438	flagellated	motile2+ⓘ	yes	75.32	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 )
#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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