Arthrobacter sp. (DSM 102337, Leaf69)

Name: Arthrobacter sp. (DSM 102337, Leaf69)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131613

Type strain

Strain Designation Leaf69

Culture col. no. DSM 102337 Leaf69

NCBI tax ID(s) 1667

Special Collections DSMZ Arabidopsis

History DSMZ <- J. A. Vorholt, Institute of Microbiology, ETH Zurich, Switzerland; Leaf69 <- D. B. Müller, E. Potthoff and M. Remus-Emsermann

Links

Leaf69 is a bacterium that was isolated from leaf of Arabidopsis thaliana, wild-type genotype.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 401711

DSM 102337

@ref 20215

Last LPSN update 2026-05-29 08:37:39

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

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23409	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
23409	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	91.058

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Leaf (Phyllosphere)

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
23409	leaf of Arabidopsis thaliana, wild-type genotype	Arabidopsis thaliana	Seebach (47,4227222N 8,548666667E)	Switzerland	CHE	Europe	47.4227	8.5487 47.4227/8.5487

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Leaf69 assembly for Arthrobacter sp. Leaf69	scaffold	GCA_001422645	1736232.3	2643221781	1736232	75.81

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Leaf69 assembly for Arthrobacter sp. Leaf69
BV-BRC: 1736232.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	positive	82.12	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	91.06	no
125439	motility	BacteriaNetⓘ	no	64.87	no
125439	spore_formation	BacteriaNetⓘ	no	86.46	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arthrobacter sp. Leaf69 Leaf69
NCBI: GCA_001422645.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.27	no
125438	anaerobic	anaerobicⓘ	no	98.26	no
125438	aerobic	aerobicⓘ	yes	88.08	no
125438	spore-forming	spore-formingⓘ	no	63.57	no
125438	thermophilic	thermophileⓘ	no	97.50	no
125438	flagellated	motile2+ⓘ	no	72.00	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 )
#23409	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102337
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#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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