Pseudomonas sp. (DSM 102683, Leaf58)

Name: Pseudomonas sp. (DSM 102683, Leaf58)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131902

Type strain

Strain Designation Leaf58

Culture col. no. DSM 102683 Leaf58

NCBI tax ID(s) 306

Special Collections DSMZ Arabidopsis

History <- J. A. Vorholt, Institute of Microbiology, ETH Zurich, Switzerland; Leaf58 <- D. B. Müller, E. Potthoff and M. Remus-Emsermann

Links

Leaf58 is a bacterium that was isolated from leaf of Arabidopsis thaliana, wild-type genotype.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 396908

DSM 102683

@ref 20215

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

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Full scientific name Pseudomonas Migula 1894 (Approved Lists 1980)

Synonyms (9)

Chryseomonas
Metapseudomonas
Zestomonas
"Caenipseudomonas"
Phytopseudomonas
Ectopseudomonas
Aquipseudomonas
Geopseudomonas
Flavimonas

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99.5
125439	negative	98.8

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23694	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
23694	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	92.418
125439	obligate aerobe	95

Spore formation

@ref	Spore formation	Confidence
125439		98.2

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
23694	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	ASM362721v1 assembly for Pseudomonas sp. Leaf58	complete	GCA_003627215	1736226.4	2980661746	1736226	97.09
66792	Leaf58 assembly for Pseudomonas sp. Leaf58	contig	GCA_001422615	1736226.3	2643221775	1736226	73.26

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudomonas sp. Leaf58
NCBI: GCA_003627215

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.20	no
125439	motility	BacteriaNetⓘ	yes	87.70	no
125439	gram_stain	BacteriaNetⓘ	negative	98.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas sp. Leaf58 Leaf58
NCBI: GCA_003627215.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	no
125438	anaerobic	anaerobicⓘ	no	98.13	no
125438	aerobic	aerobicⓘ	yes	92.42	no
125438	spore-forming	spore-formingⓘ	no	86.65	no
125438	thermophilic	thermophileⓘ	no	98.53	yes
125438	flagellated	motile2+ⓘ	yes	89.61	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 )
#23694	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102683
#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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