Cite this strain

(DSM 102561, Leaf84)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131587

Type strain

Strain Designation Leaf84

Culture col. no. DSM 102561 Leaf84

NCBI tax ID(s) 1872122

Special Collections DSMZ Arabidopsis

Links

Name and taxonomic classification

Leaf84 is a mesophilic, Gram-negative bacterium that was isolated from leaf of Arabidopsis thaliana, wild-type genotype.

Gram-negative mesophilic genome sequence Bacteria

SI-ID 396718

DSM 102561

Last LPSN update 2024-12-09 10:49:04

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Comamonadaceae

Genus Acidovorax

Full scientific name Acidovorax Willems et al. 1990

Synonyms (2)

Paenacidovorax
Paracidovorax

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98
125439	negative	92.9

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23383	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)	Range
23383	positive	growth	28	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		91.619
125439		96

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	92.3

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
23383	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

Safety information

Sequence information

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Acidovorax sp. Leaf84	GCA_001422105	contig		1736240
66792	Acidovorax sp. Leaf84	1736240.3	wgs	PATRIC	1736240
66792	Acidovorax sp. Leaf84	2643221792	draft	JGI IMG/M	1736240

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Acidovorax sp. Leaf84
NCBI: GCA_001422105

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.00	no
125439	motility	BacteriaNetⓘ	yes	83.40	no
125439	gram_stain	BacteriaNetⓘ	negative	92.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	92.30	no

Predictions from Diaspora project based on:
Acidovorax sp. Leaf84
PATRIC: 1736240.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	96.43	no
125438	spore-forming	spore-formingⓘ	no	91.62	no
125438	aerobic	aerobicⓘ	yes	89.36	no
125438	thermophilic	thermophileⓘ	no	97.99	yes
125438	flagellated	motile2+ⓘ	yes	84.27	no

External links

Straininfo Link

@ref	Straininfo	Culture collections
89993	396718	DSM 102561

Culture collection no.

Culture collection no.
DSM 102561
Leaf84

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 )
#23383	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102561
#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) .
#89993	Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID396718.1 )
#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 .

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