Arthrobacter yangruifuii (GDMCC 1.1592, CGMCC 1.16725, JCM 33491)

Name: Arthrobacter yangruifuii (GDMCC 1.1592, CGMCC 1.16725, JCM 33491)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164585

Type strain

Culture col. no. GDMCC 1.1592 CGMCC 1.16725 JCM 33491

NCBI tax ID(s) 2606616

Special Collections JCM

Links

Arthrobacter yangruifuii JCM 33491 is a mesophilic prokaryote that was isolated from Intestinal content of a plateau pika in the Qinghai-Tibet Plateau.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 131833

JCM 33491

@ref 20215

Last LPSN update 2025-12-16 10:09:30

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Micrococcaceae

Genus Arthrobacter

Species Arthrobacter yangruifuii

Full scientific name Arthrobacter yangruifuii Ge et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	93.4

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	95.4

Spore formation

@ref	Spore formation	Confidence
125439		96.1

Observation

67770

Observationquinones: MK-8(H₂)

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
67770	Intestinal content of a plateau pika (Ochotona curzoniae) in the Qinghai-Tibet Plateau	Ochotona curzoniae	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence MK634692 (>99% sequence identity) for Arthrobacter citreus subclade from Microbeatlas

Aquatic Samples
Soil Samples	6
Animal Samples	9
Plant Samples
Total Samples	15

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM919277v1 assembly for Arthrobacter yangruifuii 785	contig	GCA_009192775	2606616.3	2903053619	2606616	76.34

Genome browser: GCA_009192775

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Arthrobacter yangruifuii strain 785 16S ribosomal RNA gene, partial sequence	MK634692	1489		2606616

GC content

@ref	GC-content (mol%)	Method
67770	66.1	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Arthrobacter yangruifuii 785
NCBI: GCA_009192775

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.10	no
125439	motility	BacteriaNetⓘ	yes	64.80	no
125439	gram_stain	BacteriaNetⓘ	negative	93.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arthrobacter yangruifuii 785
NCBI: GCA_009192775.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.82	no
125438	anaerobic	anaerobicⓘ	no	97.55	no
125438	aerobic	aerobicⓘ	yes	86.15	no
125438	spore-forming	spore-formingⓘ	no	72.91	no
125438	thermophilic	thermophileⓘ	no	96.50	no
125438	flagellated	motile2+ⓘ	no	77.00	no

Literature

Title	Authors	Journal	DOI	Year
Arthrobacter zhaoxinii sp. nov. and Arthrobacter jinronghuae sp. nov., isolated from Marmota himalayana.	Zhang G, Cheng Y, Li W, Chen Y, Yang J, Jin D, Lu S, Xu J.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006168	2023
Arthrobacter yangruifuii sp. nov. and Arthrobacter zhaoguopingii sp. nov., two new members of the genus Arthrobacter.	Ge Y, Tao Y, Yang J, Lai XH, Jin D, Lu S, Huang Y, Luo X, Zhou J, Zhang X, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.004414	2020

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 )

Rate our new design

Content

About us

Arthrobacter yangruifuii (GDMCC 1.1592, CGMCC 1.16725, JCM 33491)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_009192775

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media