Bacillus dielmonensis (DSM 27844, FF4)

Name: Bacillus dielmonensis (DSM 27844, FF4)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130865

Type strain

Strain Designation FF4

Culture col. no. DSM 27844 FF4

NCBI tax ID(s) 1347369

Special Collections DSMZ

History <- C. I. Lo, Unité des Rickettsies, Univ. Méditerranée, Marseille, France; FF4

Links

Bacillus dielmonensis FF4 is a bacterium that was isolated from human skin.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 404029

DSM 27844

@ref 20215

Last LPSN update 2026-02-09 11:31:19

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Bacillus

Species Bacillus dielmonensis

Full scientific name Bacillus dielmonensis corrig. Lo et al. 2021

Synonyms (2)

Bacillus dielmoensis
Neobacillus dielmonensis

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22174	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)
22174	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Organ	#Skin, Nail, Hair

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22174	human skin	Dielmo	Senegal	SEN	Africa

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	FF4 assembly for Neobacillus dielmonensis FF4	scaffold	GCA_000612665	1347369.4	2619619271	1347369	54.71

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22174	Bacillus sp. FF4 partial 16S rRNA gene, strain FF4	HG315676	1504		1347369

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Neobacillus dielmonensis FF4
NCBI: GCA_000612665

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	84.60	no
125439	motility	BacteriaNetⓘ	yes	70.60	no
125439	gram_stain	BacteriaNetⓘ	variable	87.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus dielmonensis FF4
NCBI: GCA_000612665.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	77.33	no
125438	anaerobic	anaerobicⓘ	no	87.42	no
125438	aerobic	aerobicⓘ	yes	53.64	no
125438	spore-forming	spore-formingⓘ	yes	89.18	no
125438	thermophilic	thermophileⓘ	no	88.26	yes
125438	flagellated	motile2+ⓘ	no	60.11	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 )
#22174	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27844
#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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