Psychrobacillus sp. (DSM 106035, BL-248-WT-3)

Name: Psychrobacillus sp. (DSM 106035, BL-248-WT-3)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159194

Type strain

Strain Designation BL-248-WT-3

Culture col. no. DSM 106035 BL-248-WT-3

NCBI tax ID(s) 1871623

Special Collections DSMZ Pig DZIF

History DSMZ <- T. Clavel , TU Munich, Freising-Weihenstephan, Germany;

Links

BL-248-WT-3 is a bacterium that was isolated from feces; pig, 10 month old, wild type.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 405580

DSM 106035

@ref 20215

Last LPSN update 2026-05-29 08:44:08

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Caryophanaceae

Genus Psychrobacillus

Full scientific name Psychrobacillus Krishnamurthi et al. 2011

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66017	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)
66017	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.643

Spore formation

@ref	Spore formation	Confidence
125439		91.224

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
66017	feces; pig, 10 month old, wild type	Kranzberg (Bavaria)	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537504 (>99% sequence identity) for Psychrobacillus from Microbeatlas

Aquatic Samples	415
Soil Samples	2606
Animal Samples	1292
Plant Samples	396
Total Samples	4709

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1284343v1 assembly for Psychrobacillus sp. BL-248-WT-3	contig	GCA_012843435	2725306.3	2920415737	2725306	59.16

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66017	Psychrobacillus sp. strain DSM 106035 16S ribosomal RNA gene, partial sequence	MN537504	1506		1871623

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1284343v1 assembly for Psychrobacillus sp. BL-248-WT-3
BV-BRC: 2725306.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.64	no
125439	gram_stain	BacteriaNetⓘ	variable	62.03	no
125439	motility	BacteriaNetⓘ	yes	83.93	no
125439	spore_formation	BacteriaNetⓘ	yes	91.22	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Psychrobacillus sp. BL-248-WT-3
PATRIC: 2725306.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	75.57	no
125438	anaerobic	anaerobicⓘ	no	95.37	no
125438	spore-forming	spore-formingⓘ	yes	85.04	no
125438	aerobic	aerobicⓘ	yes	84.00	no
125438	thermophilic	thermophileⓘ	no	91.19	no
125438	flagellated	motile2+ⓘ	yes	82.97	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 )
#66017	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106035
#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) .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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