Bacillus sp. (DSM 25970, FJAT-14578)

Name: Bacillus sp. (DSM 25970, FJAT-14578)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159944

Type strain

Strain Designation FJAT-14578

Culture col. no. DSM 25970 FJAT-14578

NCBI tax ID(s) 83428

Special Collections DSMZ

History <- G. Liu, Fujian Acad. of agricul. scs., Fuzhou, China;

Links

FJAT-14578 is a mesophilic prokaryote that was isolated from soil.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 405496

DSM 25970

@ref 20215

Last LPSN update 2026-02-09 11:38:46

Domain Bacteria

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
66848	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
66848	positive	growth	28	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		93.3

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
66848	soil	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	SOAPdenovo for version2.04 of Bacillus sp. FJAT-14578 genome assembly for Bacillus sp. FJAT-14578	scaffold	GCA_000504165	1208600.3	2568526414	1208600	41.16

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66848	Bacillus cihuensis strain FJAT-14578 16S ribosomal RNA gene, partial sequence	JQ948095	681		1208599

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus sp. FJAT-14578
NCBI: GCA_000504165

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	87.70	no
125439	gram_stain	BacteriaNetⓘ	variable	85.40	no
125439	motility	BacteriaNetⓘ	yes	89.90	no
125439	spore_formation	BacteriaNetⓘ	yes	93.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus sp. FJAT-14578 FJAT-14578
NCBI: GCA_000504165.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.15	no
125438	anaerobic	anaerobicⓘ	no	93.13	no
125438	aerobic	aerobicⓘ	yes	64.79	no
125438	spore-forming	spore-formingⓘ	yes	89.95	no
125438	thermophilic	thermophileⓘ	no	91.47	yes
125438	flagellated	motile2+ⓘ	yes	82.55	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) .
#66848	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25970
#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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