Cite this strain

Curtobacterium sp. (JCM 14689)

Name: Curtobacterium sp. (JCM 14689)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161527

Type strain

Culture col. no. JCM 14689

NCBI tax ID(s) 1869344

Special Collections JCM

Links

JCM 14689 is a mesophilic prokaryote that was isolated from Stem of wild rice, Oryza rufipogon W1989.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 131754

JCM 14689

@ref 20215

Last LPSN update 2025-12-16 10:08:45

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Curtobacterium

Full scientific name Curtobacterium Yamada and Komagata 1972 (Approved Lists 1980)

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.8

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.2

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Stem of wild rice, Oryza rufipogon W1989	Oryza rufipogon

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
67770	ASM33337v1 assembly for Curtobacterium sp. B18	scaffold	GCA_000333375	95614.3	2551306524	95614

Genome browser: GCA_000333375

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Curtobacterium sp. B18 gene for 16S ribosomal RNA	AB027699	563		95614

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Curtobacterium sp. B18
NCBI: GCA_000333375

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	59.40	no
125439	motility	BacteriaNetⓘ	no	74.10	no
125439	gram_stain	BacteriaNetⓘ	positive	99.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Curtobacterium sp. B18 B18
NCBI: GCA_000333375.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.47	no
125438	anaerobic	anaerobicⓘ	no	97.33	no
125438	aerobic	aerobicⓘ	yes	86.25	no
125438	spore-forming	spore-formingⓘ	no	75.65	no
125438	thermophilic	thermophileⓘ	no	98.50	yes
125438	flagellated	motile2+ⓘ	no	78.00	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;
#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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