Cite this strain

(DSM 102618, Leaf336)

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

BacDive ID 131739

Type strain

Strain Designation Leaf336

Culture col. no. DSM 102618 Leaf336

NCBI tax ID(s) 1870902

Special Collections DSMZ Arabidopsis

Links

Name and taxonomic classification

Leaf336 is a mesophilic bacterium that was isolated from leaf of Arabidopsis thaliana, wild-type genotype.

mesophilic genome sequence Bacteria

SI-ID 399362

DSM 102618

Last LPSN update 2024-12-09 10:49:05

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Leifsonia

Full scientific name Leifsonia Evtushenko et al. 2000

Synonyms (1)

"Leifsonia"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	98.4

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23535	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)	Range
23535	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	#Leaf (Phyllosphere)

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
23535	leaf of Arabidopsis thaliana, wild-type genotype	Arabidopsis thaliana	Tuebingen Farm (48.5560194N 9.134944444E)	Germany	DEU	Europe	48.556	9.1349 48.556/9.1349

Safety information

Sequence information

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Leifsonia sp. Leaf336	GCA_001423695	contig		1736341
66792	Leifsonia sp. Leaf336	1736341.3	wgs	PATRIC	1736341
66792	Leifsonia sp. Leaf336	2643221910	draft	JGI IMG/M	1736341

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Leifsonia sp. Leaf336
NCBI: GCA_001423695

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	76.50	no
125439	motility	BacteriaNetⓘ	no	68.10	no
125439	gram_stain	BacteriaNetⓘ	positive	98.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.80	no

Predictions from Diaspora project based on:
Leifsonia sp. Leaf336
PATRIC: 1736341.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.10	no
125438	anaerobic	anaerobicⓘ	no	97.27	no
125438	spore-forming	spore-formingⓘ	no	74.24	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	aerobic	aerobicⓘ	yes	88.35	no
125438	flagellated	motile2+ⓘ	no	76.50	no

External links

Straininfo Link

@ref	Straininfo	Culture collections
90130	399362	DSM 102618

Culture collection no.

Culture collection no.
DSM 102618
Leaf336

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 )
#23535	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102618
#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) .
#90130	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-ID399362.1 )
#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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