Rhodococcus sp. (DSM 102716, Leaf258)

Name: Rhodococcus sp. (DSM 102716, Leaf258)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131920

Type strain

Strain Designation Leaf258

Culture col. no. DSM 102716 Leaf258

NCBI tax ID(s) 194249

Special Collections DSMZ Arabidopsis

History <- J. A. Vorholt, Institute of Microbiology, ETH Zurich, Switzerland; Leaf258 <- D. B. Müller, E. Potthoff and M. Remus-Emsermann

Links

Leaf258 is a mesophilic prokaryote that was isolated from leaf of Arabidopsis thaliana, wild-type genotype.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 407230

DSM 102716

@ref 20215

Last LPSN update 2026-02-09 11:31:35

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Nocardiaceae

Genus Rhodococcus

Full scientific name Rhodococcus Zopf 1891 (Approved Lists 1980)

Synonyms (4)

"Prescottia"
"Prescottella"
Prescottella
Rhodococcoides

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	92.261

Multimedia

@ref:	23712
multimedia content:	DSM_102716.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_102716.jpg
caption:	Medium 553 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23712	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
23712	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	94.7

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
23712	leaf of Arabidopsis thaliana, wild-type genotype	Arabidopsis thaliana	Brugg (47.4816806N 8.217547222E)	Switzerland	CHE	Europe	47.4817	8.2176 47.4817/8.2176

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Leaf258 assembly for Rhodococcus sp. Leaf258	contig	GCA_001426065	1736310.3	2643221956	1736310	73.85

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Rhodococcus sp. Leaf258
NCBI: GCA_001426065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	68.80	no
125439	motility	BacteriaNetⓘ	no	61.00	no
125439	gram_stain	BacteriaNetⓘ	positive	88.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	94.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Rhodococcus sp. Leaf258
PATRIC: 1736310.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.26	no
125438	anaerobic	anaerobicⓘ	no	98.12	no
125438	spore-forming	spore-formingⓘ	no	60.17	no
125438	aerobic	aerobicⓘ	yes	89.90	no
125438	thermophilic	thermophileⓘ	no	95.49	no
125438	flagellated	motile2+ⓘ	no	87.37	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 )
#23712	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102716
#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 )

Rate our new design

Content

About us