Priestia megaterium (DSM 102574, Leaf75)

Name: Priestia megaterium (DSM 102574, Leaf75)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131646

Type strain

Strain Designation Leaf75

Culture col. no. DSM 102574 Leaf75

NCBI tax ID(s) 1404

Special Collections DSMZ Arabidopsis

History <- J. A. Vorholt, Institute of Microbiology, ETH Zurich, Switzerland; Leaf75 <- D. B. Müller, E. Potthoff and M. Remus-Emsermann

Priestia megaterium Leaf75 is a bacterium that was isolated from leaf of Arabidopsis thaliana, wild-type genotype.

genome sequence Bacteria

Name and taxonomic classification

Culture Collection Numbers

DSM 102574 Leaf75

@ref 20215

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

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Priestia

Species Priestia megaterium

Full scientific name Priestia megaterium (de Bary 1884) Gupta et al. 2020

Synonyms (1)

Bacillus megaterium

BacDive ID	Other strains from **Priestia megaterium** (44)	Type strain
733	P. megaterium 1060, 19, Ford 19, Gibson 1060, DSM 32, ATCC ... (type strain)
714	P. megaterium DSM 333
715	P. megaterium DSM 337
716	P. megaterium DSM 339
717	P. megaterium DSM 319
718	P. megaterium 1600, MC 2, DSM 321
719	P. megaterium DSM 322
720	P. megaterium DSM 344
721	P. megaterium DSM 509, CCM 1464, IFO 12109, NBRC 12109, ...
722	P. megaterium SF 96, DSM 510
723	P. megaterium DSM 786, NCIB 11251
724	P. megaterium DSM 1804, ATCC 12872, QM B 1551
725	P. megaterium DSM 1517, NRS 1241
726	P. megaterium Q 23, DSM 1668, ATCC 33167
727	P. megaterium Q 24, DSM 1669, ATCC 33168
728	P. megaterium Q 25, DSM 1670, ATCC 33169
729	P. megaterium Q 22, DSM 1671, ATCC 33166
730	P. megaterium DSM 2894, ATCC 10778, NCIB 8508, NRRL B-938
731	P. megaterium DSM 3228, BKM B-847, VKM B-847
732	P. megaterium APF84, DSM 3641, ATCC 25848, NRRL B-1368
734	P. megaterium 1598, 3, Bohlken 3, DSM 90
735	P. megaterium ES2-2c1, DSM 30587
736	P. megaterium ES2-11c1, DSM 30601
737	P. megaterium W11/5, DSM 30782
738	P. megaterium W18/6, DSM 30787
739	P. megaterium K1-8, DSM 30897
1291	P. megaterium FR1-40con, DSM 30722
23635	P. megaterium Ne10/00, DSM 17641
23636	P. megaterium D6.1, DSM 30967
131177	P. megaterium T4_17, DSM 100546
131628	P. megaterium Stev14, DSM 103050
131629	P. megaterium D31_2, DSM 103752
131643	P. megaterium Root147, DSM 102374
131644	P. megaterium Root239, DSM 102375
131649	P. megaterium DSM 102771, Soil 531
157594	P. megaterium K25-3, DSM 109492
158840	P. megaterium FH4_2, DSM 110117
162717	P. megaterium JCM 20055, IAM 1111
162737	P. megaterium JCM 20084, IAM 1166, NRRL B-939
162772	P. megaterium JCM 20126, IAM 1245
169171	P. megaterium SOS1, DSM 104036
169172	P. megaterium J4, DSM 113760
169173	P. megaterium Turin11- W18, DSM 113930
176400	P. megaterium CT11-28, DSM 117377

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23442	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
23442	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.4

Spore formation

@ref	Spore formation	Confidence
125438		92.024

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
23442	leaf of Arabidopsis thaliana, wild-type genotype	Arabidopsis thaliana	Brugg (47.4816806N 8.217547222E)	Switzerland	CHE	Europe	47.4816	8.2175 47.4816/8.2175

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Leaf75 assembly for Bacillus sp. Leaf75	scaffold	GCA_001426025	1736235.3	2643221951	1736235	37.07

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus sp. Leaf75
NCBI: GCA_001426025

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	85.70	no
125439	motility	BacteriaNetⓘ	yes	75.40	no
125439	gram_stain	BacteriaNetⓘ	variable	75.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus sp. Leaf75 Leaf75
NCBI: GCA_001426025.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.82	no
125438	anaerobic	anaerobicⓘ	no	93.76	no
125438	aerobic	aerobicⓘ	yes	72.72	no
125438	spore-forming	spore-formingⓘ	yes	92.02	no
125438	thermophilic	thermophileⓘ	no	91.85	yes
125438	flagellated	motile2+ⓘ	yes	81.28	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 )
#23442	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102574
#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 .

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