Cite this strain

Arthrobacter sp. (JCM 19049)

Name: Arthrobacter sp. (JCM 19049)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162382

Type strain

Culture col. no. JCM 19049

NCBI tax ID(s) 1460643

Special Collections JCM

History JCM <-- T. Kudo H656.

Links

JCM 19049 is a bacterium that was isolated from Yellowfin toxic goby .

genome sequence Bacteria

Name and taxonomic classification

SI-ID 131285

JCM 19049

@ref 20215

Last LPSN update 2026-05-29 08:44:55

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Micrococcaceae

Genus Arthrobacter

Full scientific name Arthrobacter Conn and Dimmick 1947 (Approved Lists 1980)

Synonyms (1)

Crystallibacter

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125438	positive	92.612
125438		95

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	92.851

Spore formation

@ref	Spore formation	Confidence
125439		98.084

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Yellowfin toxic goby (Yongeichthys criniger)	Yongeichthys criniger	coast of Iriomote Island	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM131043v1 assembly for Arthrobacter sp. JCM 19049	contig	GCA_001310435	1460643.3	2728369644	1460643	0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM131043v1 assembly for Arthrobacter sp. JCM 19049
BV-BRC: 1460643.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	92.85	no
125439	motility	BacteriaNetⓘ	no	75.30	no
125439	gram_stain	BacteriaNetⓘ	negative	46.95	no
125439	spore_formation	BacteriaNetⓘ	no	98.08	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arthrobacter sp. JCM 19049
PATRIC: 1460643.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.61	no
125438	anaerobic	anaerobicⓘ	no	96.56	no
125438	spore-forming	spore-formingⓘ	no	82.85	no
125438	aerobic	aerobicⓘ	yes	87.31	no
125438	thermophilic	thermophileⓘ	no	96.09	yes
125438	flagellated	motile2+ⓘ	no	95.00	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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