Priestia megaterium (DSM 17641, Ne10/00)

Name: Priestia megaterium (DSM 17641, Ne10/00)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23635

Type strain

Strain Designation Ne10/00

Culture col. no. DSM 17641 Ne10/00

NCBI tax ID(s) 1404

Special Collections DSMZ

History DSMZ <- M. Andersson, Helsinki Univ., Dept. Appl. Chem. and Microbiol., Finland; Ne10/00

Links

Priestia megaterium Ne10/00 is a bacterium that was isolated from paperboard from a mouldy building.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 404617

DSM 17641

@ref 20215

Last LPSN update 2026-05-29 08:30:28

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
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
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
20359	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)
20359	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.097

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Built environment	#House
#Engineered	#Industrial	#Engineered product
#Host	#Fungi	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
20359	paperboard from a mouldy building	Mikkeli city	Finland	FIN	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
20359	yes, in single cases	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
124043	DSM17641 assembly for Priestia megaterium DSM 17641	complete	GCA_029857545	1404.604	1404	94.35

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: DSM17641 assembly for Priestia megaterium DSM 17641
NCBI: GCA_029857545

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	variable	65.98	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.10	no
125439	motility	BacteriaNetⓘ	yes	81.35	no
125439	spore_formation	BacteriaNetⓘ	yes	88.57	no

Literature

Title	Authors	Journal	DOI	Year
Complete and Draft Genome Sequences of 52 Bacillus and Priestia Strains Isolated from West African Fermentations and 26 Reference Strains from a Public Culture Collection.	Wiedenbein ES, Canoy TS, Hui Y, Parkouda C, Compaore CS, Ametefe E, Jakobsen M, Jespersen L, Nielsen DS.	Microbiol Resour Announc	10.1128/mra.00394-23	2023

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 )
#20359	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17641
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )

Content

About us

Priestia megaterium (DSM 17641, Ne10/00)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_029857545

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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