Arthrobacter sp. (DSM 105845, BL-252-APC-1A)

Name: Arthrobacter sp. (DSM 105845, BL-252-APC-1A)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158835

Type strain

Strain Designation BL-252-APC-1A

Culture col. no. DSM 105845 BL-252-APC-1A

NCBI tax ID(s) 1667

Special Collections DSMZ Pig DZIF

History DSMZ <- T. Clavel , TU Munich, Freising-Weihenstephan, Germany;

Links

BL-252-APC-1A is an animal pathogen that was isolated from feces; pig, 10 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli protein.

animal pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 403181

DSM 105845

@ref 20215

Last LPSN update 2026-05-29 08:44:03

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
125438	positive	91.696

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65657	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
65657	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.589

Spore formation

@ref	Spore formation	Confidence
125439		99.389

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
65657	feces; pig, 10 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli (APC) protein	Munich	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537501 (>99% sequence identity) for Arthrobacter from Microbeatlas

Aquatic Samples	2
Soil Samples	8
Animal Samples	15
Plant Samples	0
Total Samples	25

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
65657		2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM969662v1 assembly for Arthrobacter sp. BL-252-APC-1A BL-252-APC-1A (aerob)	contig	GCA_009696625	2606622.3	2904630410	2606622	71.95

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65657	Arthrobacter sp. strain DSM 105845 16S ribosomal RNA gene, partial sequence	MN537501	1470		1667

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM969662v1 assembly for Arthrobacter sp. BL-252-APC-1A BL-252-APC-1A (aerob)
NCBI: GCA_009696625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.59	no
125439	gram_stain	BacteriaNetⓘ	negative	86.70	no
125439	motility	BacteriaNetⓘ	yes	63.14	no
125439	spore_formation	BacteriaNetⓘ	no	99.39	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arthrobacter sp. BL-252-APC-1A strain BL-252-APC-1A (aerob) strain BL-252-APC-1A (aerob) strain BL-252-APC-1A (aerob)
PATRIC: 2606622.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.70	no
125438	anaerobic	anaerobicⓘ	no	97.12	no
125438	spore-forming	spore-formingⓘ	no	68.28	no
125438	aerobic	aerobicⓘ	yes	84.79	no
125438	thermophilic	thermophileⓘ	no	96.97	yes
125438	flagellated	motile2+ⓘ	no	76.50	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 )
#65657	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105845
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )

Content

About us