Paenibacillus sp. (DSM 100384, GM2)

Name: Paenibacillus sp. (DSM 100384, GM2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 160466

Type strain

Strain Designation GM2

Culture col. no. DSM 100384 GM2

NCBI tax ID(s) 58172

Special Collections DSMZ Cadoret human gut

History <- S. Khelaifia, Timone Hospital, Marseille, France <- URMITE, Univ. Méditerranée, Marseille, France

Links

GM2 is a mesophilic prokaryote that was isolated from human stool specimen.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 407372

DSM 100384

@ref 20215

Last LPSN update 2026-02-09 11:38:53

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Paenibacillus

Full scientific name Paenibacillus Ash et al. 1994

Synonyms (1)

"Aerobacillus"

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67374	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
67374	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		93.921
125439		95.4

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67374	human stool specimen	Marseille	France	FRA	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Paenibacillus numidis assembly for Paenibacillus sp. GM2	scaffold	GCA_900069005	1622070.3	2713896954	1622070	68.08

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paenibacillus sp. GM2
NCBI: GCA_900069005

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	95.40	no
125439	motility	BacteriaNetⓘ	yes	85.30	no
125439	gram_stain	BacteriaNetⓘ	variable	72.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	85.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus sp. GM2 GM2
NCBI: GCA_900069005.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	63.24	no
125438	anaerobic	anaerobicⓘ	no	93.64	no
125438	aerobic	aerobicⓘ	no	64.19	no
125438	spore-forming	spore-formingⓘ	yes	93.92	no
125438	thermophilic	thermophileⓘ	no	89.26	yes
125438	flagellated	motile2+ⓘ	yes	83.95	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 )
#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) .
#67374	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100384
#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 .
#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 )

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