Mycobacterium sp. (DSM 102468, Root265)

Name: Mycobacterium sp. (DSM 102468, Root265)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131826

Type strain

Strain Designation Root265

Culture col. no. DSM 102468 Root265

NCBI tax ID(s) 1785

Special Collections DSMZ Arabidopsis

Links

Root265 is a mesophilic prokaryote that was isolated from roots of Arabidopsis thaliana ecotype Shakdara .

mesophilic genome sequence

Name and taxonomic classification

SI-ID 397104

DSM 102468

@ref 20215

Last LPSN update 2025-12-16 10:01:21

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Full scientific name Mycobacterium Lehmann and Neumann 1896 (Approved Lists 1980)

Synonyms (4)

Mycolicibacillus
Mycolicibacterium
Mycobacteroides
Mycolicibacter

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	90.246
125439	positive	93.5

Multimedia

@ref:	23620
multimedia content:	DSM_102468.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_102468.jpg
caption:	Medium 250 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23620	MIDDLEBROOK MEDIUM (DSMZ Medium 645)		Medium recipe at MediaDive	Name: MIDDLEBROOK MEDIUM (DSMZ Medium 645) Composition: Bacto Middlebrook 7H10 agar 20.9945 g/l Glycerol Distilled water
23620	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
23620	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.8

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
23620	roots of Arabidopsis thaliana ecotype Shakdara (Sha)	Arabidopsis thaliana	Cologne (50.958N 6.856E)	Germany	DEU	Europe	50.958	6.856 50.958/6.856

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Root265 assembly for Mycobacterium sp. Root265	scaffold	GCA_001428895	1736504.3	2643221715	1736504	67.62

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium sp. Root265
NCBI: GCA_001428895

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	67.70	no
125439	motility	BacteriaNetⓘ	no	68.90	no
125439	gram_stain	BacteriaNetⓘ	positive	93.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium sp. Root265 Root265
NCBI: GCA_001428895.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.25	no
125438	anaerobic	anaerobicⓘ	no	97.76	no
125438	aerobic	aerobicⓘ	yes	89.89	no
125438	spore-forming	spore-formingⓘ	no	54.81	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	85.87	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 )
#23620	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102468
#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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