Cite this strain

Arthrobacter sp. (JCM 31234)

Name: Arthrobacter sp. (JCM 31234)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163973

Type strain

Culture col. no. JCM 31234

NCBI tax ID(s) 1667

Special Collections JCM

History W. Iwasaki; Dept. of Biol. Sci., Grad. Sch. of Sci., Univ. of Tokyo, Japan; Hiyo6.

Links

JCM 31234 is a bacterium that was isolated from Soil at Hiyoriyama, affected by the 2011 Great East Japan Earthquake tsunami.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 390862

JCM 31234

@ref 20215

Last LPSN update 2026-02-09 11:39:44

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	Motility	Confidence
125438		91.5

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	obligate aerobe	93.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Soil at Hiyoriyama, affected by the 2011 Great East Japan Earthquake tsunami	Sendai, Miyagi Pref.	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
67770	ASM126363v1 assembly for Arthrobacter sp. Hiyo6	contig	GCA_001263635	1588022.3	2751185874	1588022

GC content

@ref	GC-content (mol%)	Method
67770	63.3	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Arthrobacter sp. Hiyo6
NCBI: GCA_001263635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	73.70	no
125439	motility	BacteriaNetⓘ	no	84.40	no
125439	gram_stain	BacteriaNetⓘ	positive	89.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arthrobacter sp. Hiyo6 Hiyo6
NCBI: GCA_001263635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	84.03	no
125438	anaerobic	anaerobicⓘ	no	86.52	no
125438	aerobic	aerobicⓘ	yes	72.34	no
125438	spore-forming	spore-formingⓘ	no	81.46	no
125438	thermophilic	thermophileⓘ	no	88.50	no
125438	flagellated	motile2+ⓘ	no	91.50	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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