Cite this strain

Bacillus sp. (JCM 19045)

Name: Bacillus sp. (JCM 19045)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162378

Type strain

Culture col. no. JCM 19045

NCBI tax ID(s) 1460639

Special Collections JCM

Links

JCM 19045 is a mesophilic prokaryote that was isolated from Seaweed in the sea near Nagasaki.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 390776

JCM 19045

@ref 20215

Last LPSN update 2025-12-16 10:08:58

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 temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		94.388

Metabolite production

@ref	Chebi-ID	Metabolite	Production
67770	23456 ChEBI	cyclodextrin

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
67770	Seaweed (Gelidium elegans) in the sea near Nagasaki	Gelidium elegans	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM57632v1 assembly for Bacillus sp. JCM 19045	contig	GCA_000576325	1460639.3	2576861788	1460639	25.15

Genome browser: GCA_000576325

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus sp. JCM 19045
NCBI: GCA_000576325

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	85.70	no
125439	motility	BacteriaNetⓘ	yes	85.20	no
125439	gram_stain	BacteriaNetⓘ	variable	75.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	81.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus sp. JCM 19045
PATRIC: 1460639.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.93	no
125438	anaerobic	anaerobicⓘ	no	97.10	no
125438	spore-forming	spore-formingⓘ	yes	94.39	no
125438	aerobic	aerobicⓘ	yes	82.70	no
125438	thermophilic	thermophileⓘ	no	93.99	yes
125438	flagellated	motile2+ⓘ	yes	84.94	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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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