Priestia megaterium (DSM 102374, Root147)

Name: Priestia megaterium (DSM 102374, Root147)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131643

Type strain

Strain Designation Root147

Culture col. no. DSM 102374 Root147

NCBI tax ID(s) 1404

Special Collections DSMZ Arabidopsis

Priestia megaterium Root147 is a mesophilic prokaryote that was isolated from Roots of Arabidopsis thaliana .

mesophilic genome sequence

Name and taxonomic classification

Culture Collection Numbers

DSM 102374 Root147

@ref 20215

Last LPSN update 2025-12-16 10:01:18

Domain Bacillati

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
131644	P. megaterium Root239, DSM 102375
131646	P. megaterium Leaf75, DSM 102574
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
23439	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)	Range
23439	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.6

Spore formation

@ref	Spore formation	Confidence
125438		90.548

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Root (Rhizome)

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
23439	Roots of Arabidopsis thaliana (ecotype Shakdara)	Arabidopsis thaliana	Cologne (50.958N 6.856E)	Germany	DEU	Europe	50.958	6.856 50.958/6.856

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Root147 assembly for Bacillus sp. Root147	scaffold	GCA_001429365	1736468.4	2643221731	1736468	46.77

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus sp. Root147
NCBI: GCA_001429365

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	87.20	no
125439	motility	BacteriaNetⓘ	yes	79.10	no
125439	gram_stain	BacteriaNetⓘ	variable	71.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus sp. Root147 Root147
NCBI: GCA_001429365.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.48	no
125438	anaerobic	anaerobicⓘ	no	93.76	no
125438	aerobic	aerobicⓘ	yes	71.65	no
125438	spore-forming	spore-formingⓘ	yes	90.55	no
125438	thermophilic	thermophileⓘ	no	92.49	yes
125438	flagellated	motile2+ⓘ	yes	79.01	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 )
#23439	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102374
#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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