Cellulomonas sp. (DSM 102398, Root930)

Name: Cellulomonas sp. (DSM 102398, Root930)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131678

Type strain

Strain Designation Root930

Culture col. no. DSM 102398 Root930

NCBI tax ID(s) 40001

Special Collections DSMZ Arabidopsis

History DSMZ <- P. Schulze-Lefert, Max Planck Institute for Plant Breeding Research, Cologne, Germany; Root930 <- Y. Bai

Links

Root930 is a bacterium that was isolated from roots of Arabidopsis thaliana ecotype Shakdara .

genome sequence Bacteria

Name and taxonomic classification

SI-ID 397450

DSM 102398

@ref 20215

Last LPSN update 2026-05-29 08:37:40

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Cellulomonadaceae

Genus Cellulomonas

Full scientific name Cellulomonas Bergey et al. 1923 (Approved Lists 1980)

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		92
125439		98.713	positive

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23474	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)
23474	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.889

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
23474	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	Root930 assembly for Cellulomonas sp. Root930	scaffold	GCA_001429255	1736609.3	2643221722	1736609	52.62

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Root930 assembly for Cellulomonas sp. Root930
BV-BRC: 1736609.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.89	no
125439	gram_stain	BacteriaNetⓘ	positive	98.71	no
125439	motility	BacteriaNetⓘ	no	76.09	no
125439	spore_formation	BacteriaNetⓘ	no	68.38	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cellulomonas sp. Root930 Root930
NCBI: GCA_001429255.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.74	no
125438	anaerobic	anaerobicⓘ	no	96.30	no
125438	aerobic	aerobicⓘ	yes	81.89	no
125438	spore-forming	spore-formingⓘ	no	55.05	no
125438	thermophilic	thermophileⓘ	no	95.50	yes
125438	flagellated	motile2+ⓘ	no	92.00	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 )
#23474	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102398
#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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