Cite this strain

Bacillus sp. (DSM 29237, SJS)

Name: Bacillus sp. (DSM 29237, SJS)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169178

Type strain

Strain Designation SJS

Culture col. no. DSM 29237 SJS

NCBI tax ID(s) 83428

Special Collections DSMZ

Links

SJS is a mesophilic prokaryote that was isolated from freshwater creek.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 397457

DSM 29237

@ref 20215

Last LPSN update 2025-12-16 10:10:31

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Bacillus

Full scientific name Bacillus Cohn 1872 (Approved Lists 1980)

Synonyms (4)

Niallia
"Quasibacillus"
Weizmannia
"Maribacillus"

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68415	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
68415	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		94.968

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
68415	freshwater creek	PA, Montoursville	USA	USA	North America

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM73248v2 assembly for Bacillus sp. SJS	contig	GCA_000732485	1423321.9	2609459993	1423321	71.86

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	Bacillus sp. SJS 16S ribosomal RNA gene, partial sequence.	KX161772	1544		1423321

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus sp. SJS
NCBI: GCA_000732485

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	61.50	no
125439	motility	BacteriaNetⓘ	yes	56.80	no
125439	gram_stain	BacteriaNetⓘ	variable	87.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	81.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus sp. SJS
PATRIC: 1423321.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	79.87	no
125438	anaerobic	anaerobicⓘ	no	92.62	no
125438	spore-forming	spore-formingⓘ	yes	94.97	no
125438	aerobic	aerobicⓘ	yes	76.57	no
125438	thermophilic	thermophileⓘ	no	93.28	no
125438	flagellated	motile2+ⓘ	yes	83.39	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) .
#68415	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29237
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )

Rate our new design

Content

About us