Paenibacillus sp. (DSM 102783, Soil724D2)

Name: Paenibacillus sp. (DSM 102783, Soil724D2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131860

Type strain

Strain Designation Soil724D2

Culture col. no. DSM 102783 Soil724D2

NCBI tax ID(s) 58172

Special Collections DSMZ Arabidopsis

Links

Soil724D2 is a mesophilic prokaryote that was isolated from soil.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 402798

DSM 102783

@ref 20215

Last LPSN update 2025-12-16 10:01:21

Domain Bacillati

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
23652	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)	Range
23652	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.8

Spore formation

@ref	Spore formation	Confidence
125439		91.2

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
23652	soil	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	Soil724D2 assembly for Paenibacillus sp. Soil724D2	scaffold	GCA_001427935	1736392.3	2643221702	1736392	63.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paenibacillus sp. Soil724D2
NCBI: GCA_001427935

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	91.20	no
125439	motility	BacteriaNetⓘ	yes	80.70	no
125439	gram_stain	BacteriaNetⓘ	variable	84.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus sp. Soil724D2 Soil724D2
NCBI: GCA_001427935.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	56.69	no
125438	anaerobic	anaerobicⓘ	no	95.89	no
125438	aerobic	aerobicⓘ	yes	73.22	no
125438	spore-forming	spore-formingⓘ	yes	89.02	no
125438	thermophilic	thermophileⓘ	no	94.04	yes
125438	flagellated	motile2+ⓘ	yes	80.03	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 )
#23652	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102783
#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 .
#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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