Solibacillus cecembensis (DSM 21993, JCM 15113, LMG 23935)

Name: Solibacillus cecembensis (DSM 21993, JCM 15113, LMG 23935)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1281

Type strain

Strain Designation PN5

Culture col. no. DSM 21993 JCM 15113 LMG 23935 MTCC 9127 CCUG 55698 1 more

NCBI tax ID(s) 459347

Special Collections DSMZ CCUG JCM Literature strains

Links

Solibacillus cecembensis PN5 is an aerobe, spore-forming, Gram-positive prokaryote that was isolated from Soil samples collected at an altitude of approximately 3500 m near the Pindari glacier.

spore-forming Gram-positive motile rod-shaped aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 293296

LMG 23935,JCM 15113,CCUG 55698T

@ref 20215

Last LPSN update 2025-12-16 09:47:04

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Caryophanaceae

Genus Solibacillus

Species Solibacillus cecembensis

Full scientific name Solibacillus cecembensis (Reddy et al. 2008) Gupta and Patel 2020

Synonyms (1)

Bacillus cecembensis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
32450	positive	3.5 µm	1.25 µm	rod-shaped

Colony morphology

60697

Incubation period3 days

Pigmentation

32450

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
32450	positive	growth	04-30
32450	positive	optimum	25
60697	positive	growth	30
67770	positive	growth	22

Culture pH

@ref	Ability	Type	PH
32450	positive	optimum	06-08
32450	positive	growth	06-08

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
32450	aerobe
60697	aerobe
125439	obligate aerobe

Spore formation

32450

Spore formationyes

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32450	NaCl	positive	growth	0-3 %
32450	NaCl	positive	optimum	0-3 %

Observation

@ref	Observation
32450	aggregates in chains
67770	quinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32450	16947 ChEBI	citrate	+	carbon source
32450	17632 ChEBI	nitrate	+	reduction
32450	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
32450	acid phosphatase	+	3.1.3.2
32450	alkaline phosphatase	+	3.1.3.1
32450	catalase	+	1.11.1.6
32450	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Glacier
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
16086	Soil samples collected at an altitude of approximately 3500 m near the Pindari glacier	Indian Himalayas	India	IND	Asia
60697	Glacier	Himalayan ranges,Pindari	India	IND	Asia
67770	Soil at an altitude of approximately 3,500 m near the Pindari glacier of the Indian Himalayas

Taxonmaps

69479

Global distribution of 16S sequence AM773821 (>99% sequence identity) for Bacillus cecembensis subclade from Microbeatlas

Aquatic Samples	108
Soil Samples	280
Animal Samples	229
Plant Samples	11
Total Samples	628

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16086	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
67770	ASM143963v1 assembly for Solibacillus cecembensis DSM 21993	scaffold	GCA_001439635	459347.3	2744054488	459347

Genome browser: GCA_001439635

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16086	Bacillus bhargavae 16S rRNA gene	AM773821	1517		459347
124043	Bacillus cecembensis genomic DNA containing 16S-23S intergenic spacer region, strain MTCC 9127, DSM 21993T	LN681357	411		459347

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Solibacillus cecembensis DSM 21993
NCBI: GCA_001439635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	77.10	no
125439	motility	BacteriaNetⓘ	yes	62.20	no
125439	gram_stain	BacteriaNetⓘ	variable	71.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus cecembensis strain DSM 21993
PATRIC: 459347.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	72.38	yes
125438	anaerobic	anaerobicⓘ	no	94.93	yes
125438	spore-forming	spore-formingⓘ	yes	88.07	yes
125438	aerobic	aerobicⓘ	yes	80.90	no
125438	thermophilic	thermophileⓘ	no	94.89	yes
125438	flagellated	motile2+ⓘ	yes	81.88	no

Literature

Title	Authors	Journal	DOI	Year
Robust Demarcation of the Family Caryophanaceae (Planococcaceae) and Its Different Genera Including Three Novel Genera Based on Phylogenomics and Highly Specific Molecular Signatures.	Gupta RS, Patel S.	Front Microbiol	10.3389/fmicb.2019.02821	2019

References

#16086	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21993
#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 )
#32450	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28672 (see below)
#60697	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55698
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .
#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

Solibacillus cecembensis (DSM 21993, JCM 15113, LMG 23935)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001439635

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media