Name: Brevibacillus fulvus K2814
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 24273

Type strain:

Species: Brevibacillus fulvus

Strain Designation: K2814

Culture col. no.: DSM 25523, ATCC BAA-2417, JCM 18162

Strain history: A. Nakamura K2814 <-- K. Hatayama.

NCBI tax ID(s): 1125967 (species)

SI-ID 396650

DSM 25523

Special Collections

DSMZ
JCM

Section

When using BacDive for research please cite our paper

Brevibacillus fulvus K2814 is a thermophilic bacterium that was isolated from compost pile undergoing a hyperthermal composting process.

thermophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Bacillota*
	Class	*Bacilli*
	Order	*Caryophanales*
	Family	*Paenibacillaceae*
	Genus	*Brevibacillus*
	Species	**Brevibacillus fulvus**
	Full Scientific Name (LPSN)	Brevibacillus fulvus Hatayama et al. 2014

Information on culture and growth conditions Culture and growth conditions

[Ref.: #20478]

Culture medium

R2A MEDIUM (DSMZ Medium 830)

[Ref.: #20478]

Culture medium growth

[Ref.: #20478]

Culture medium link

Medium recipe at MediaDive

[Ref.: #20478]

Culture medium composition

expand / minimize

	Temperatures	Kind of temperature		Temperature
[Ref.: #20478]			growth	40 °C
[Ref.: #67770]			growth	45 °C

Information on physiology and metabolism Physiology and metabolism

[Ref.: #67770]

Observation

quinones: MK-7, MK-8

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #20478]	Sample type/isolated from	compost pile undergoing a hyperthermal composting process
[Ref.: #20478]	Geographic location (country and/or sea, region)	Okinawa Prefecture, Nakijin
[Ref.: #20478]	Country	Japan
[Ref.: #20478]	Country ISO 3 Code	JPN
[Ref.: #20478]	Continent	Asia

[Ref.: #67770]	Sample type/isolated from	Compost pile undergoing a hyperthermal composting process in Okinawa Pref.
[Ref.: #67770]	Country	Japan
[Ref.: #67770]	Country ISO 3 Code	JPN
[Ref.: #67770]	Continent	Asia
* marker position based on {}

Isolation sources categories

#Engineered	#Biodegradation	#Composting
#Condition	#Thermophilic (>45°C)	-

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence AB688095 (>99% sequence identity) for Brevibacillus fulvus subclade from Microbeatlas

Aquatic Samples	30
Soil Samples	274
Animal Samples	28
Plant Samples	34
Total Samples	366

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #20478]

Biosafety level

Risk group (German classification)
According to TRBA 466

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #20478]	Brevibacillus fulvus gene for 16S rRNA, partial sequence, strain: K2814	AB688095	1457	GenBank ENA	1125967 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Brevibacillus fulvus DSM 25523	GCA_016908525	contig	GenBank ENA	1125967 tax ID	*
[Ref.: #66792]	Brevibacillus fulvus strain DSM 25523	1125967.3	wgs	PATRIC	1125967 tax ID	*
[Ref.: #66792]	Brevibacillus fulvus DSM 25523	2901150838	draft	JGI IMG/M	1125967 tax ID	*

[Ref.: #20478]

GC-content

48.8 mol%

high performance liquid chromatography (HPLC)

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Brevibacillus fulvus strain DSM 25523 PATRIC: 1125967.3
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	63.047	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	93.694	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	yes	86.849	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	77.023	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	83.669	no
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	80.898	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Brevibacillus fulvus DSM 25523 NCBI: GCA_016908525
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	facultative anaerobe	75.8
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	variable	81.7
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	76.3
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	yes	78.5

Availability in culture collections External links

[Ref.: #20478]

Culture collection no.

DSM 25523, ATCC BAA-2417, JCM 18162

[Ref.: #88214]

SI-ID 396650

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Brevibacillus fulvus sp. nov., isolated from a compost pile.	Hatayama K, Shoun H, Ueda Y, Nakamura A	Int J Syst Evol Microbiol	10.1099/ijs.0.051052-0	2013	*

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 )

#20478

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25523

#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) .

#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 .

#88214

Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID396650.1 )

#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 .

* These data were automatically processed and therefore are not curated

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Brevibacillus fulvus strain DSM 25523

Brevibacillus fulvus DSM 25523

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