Cite this strain

Bacillus sp. (DSM 100445, G1)

Name: Bacillus sp. (DSM 100445, G1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159970

Type strain

Strain Designation G1

Culture col. no. DSM 100445 G1

NCBI tax ID(s) 83428

Special Collections DSMZ

History <- X. Y. Chan, Univ. of Malaya, Kuala Lumpur, Malaysia; G1

Links

G1 is a bacterium that was isolated from Georgetown.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 406228

DSM 100445

@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
66874	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)
66874	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	94.9

Spore formation

@ref	Spore formation	Confidence
125438		95.824

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
66874	Georgetown	Penang	Malaysia	MYS	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM148247v1 assembly for Bacillus sp. G1(2015b)	contig	GCA_001482475	1706732.3	2713897278	1706732	73.24

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus sp. G1(2015b)
PATRIC: 1706732.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	63.40	no
125439	motility	BacteriaNetⓘ	yes	63.00	no
125439	gram_stain	BacteriaNetⓘ	variable	78.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus sp. G1(2015b)
PATRIC: 1706732.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	79.17	no
125438	anaerobic	anaerobicⓘ	no	91.20	no
125438	spore-forming	spore-formingⓘ	yes	95.82	no
125438	aerobic	aerobicⓘ	yes	68.30	no
125438	thermophilic	thermophileⓘ	no	93.73	yes
125438	flagellated	motile2+ⓘ	yes	86.47	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 )
#66874	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100445
#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