Brevibacillus reuszeri (DSM 9887, ATCC 51665, CIP 104543)

Name: Brevibacillus reuszeri (DSM 9887, ATCC 51665, CIP 104543)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11429

Type strain

Strain Designation Army strain 720, NRS-1206

Culture col. no. DSM 9887 ATCC 51665 CIP 104543 IFO 15719 JCM 9170 9 more

NCBI tax ID(s) 54915

Special Collections DSMZ JCM CIP

History DSMZ <- NRRL <- NRS 1206 <- H. W. Reuszer, Army strain 720 JCM <-- O. Shida <-- NRRL NRS-1206. CIP <- 1995, O. Shida, Res. Lab., Higeta Shoyu, Chiba, Japan: strain NRS-1206 <- NRRL <- H.W. Reuszer

Links

Brevibacillus reuszeri Army strain 720 is a bacterium of the family Paenibacillaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 92531

LMG 16012,CIP 104543,DSM 9887,IFO 15719,JCM 9170,NRRL NRS-1206,ATCC 51665,NCIMB 13367,NBRC 15719,KCTC 3834,KACC 10919

@ref 20215

Last LPSN update 2026-05-29 08:27:33

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Brevibacillus

Species Brevibacillus reuszeri

Full scientific name Brevibacillus reuszeri (Shida et al. 1995) Shida et al. 1996

Synonyms (1)

Bacillus reuszeri

BacDive ID	Other strains from **Brevibacillus reuszeri** (2)	Type strain
11430	B. reuszeri DSM 9888, NRRL NRS-1207
11431	B. reuszeri DSM 9889, NRRL NRS-1208

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
3751	NUTRIENT AGAR (DSMZ Medium 1)	Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water
41218	MEDIUM 3 - Columbia agar		Columbia agar (39.000 g);distilled water (1000.000 ml)
122169	CIP Medium 3	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
3751	positive	growth	30
41218	positive	growth	30
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	94.869

Isolation, sampling and environmental information

Isolation

@ref	Country	Country ISO 3 Code	Continent	Sample type
3751	USA	USA	North America
67770				Soil
122169				Environment, Soil

Taxonmaps

69479

Global distribution of 16S sequence AB680946 (>99% sequence identity) for Brevibacillus from Microbeatlas

Aquatic Samples	13
Soil Samples	140
Animal Samples	33
Plant Samples	17
Total Samples	203

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3751	1	Risk group (German classification) According to TRBA 466
122169	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM118772v1 assembly for Brevibacillus reuszeri DSM 9887	scaffold	GCA_001187725	54915.3	2654587731	54915	65.4
67770	ASM654022v1 assembly for Brevibacillus reuszeri NBRC 15719	contig	GCA_006540225	54915.8		54915	53.35

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Brevibacillus reuszeri gene for 16S rRNA, partial sequence, strain:DSM 9887T	AB112715	1486	54915
20218	Brevibacillus reuszeri gene for 16S rRNA, partial sequence, strain: NBRC 15719	AB680946	1461	54915
20218	Brevibacillus reuszeri DNA for 16S ribosomal RNA	D78464	1419	54915

GC content

@ref	GC-content (mol%)	Method
67770	46.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM118772v1 assembly for Brevibacillus reuszeri DSM 9887
NCBI: GCA_001187725

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	94.87	no
125439	motility	BacteriaNetⓘ	yes	71.15	no
125439	gram_stain	BacteriaNetⓘ	variable	71.22	no
125439	spore_formation	BacteriaNetⓘ	yes	76.03	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Brevibacillus reuszeri strain DSM 9887
PATRIC: 54915.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	54.33	no
125438	anaerobic	anaerobicⓘ	no	97.39	no
125438	spore-forming	spore-formingⓘ	yes	89.48	no
125438	aerobic	aerobicⓘ	yes	76.71	no
125438	thermophilic	thermophileⓘ	no	91.78	no
125438	flagellated	motile2+ⓘ	yes	82.64	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Two Major Clades of Bradyrhizobia Dominate Symbiotic Interactions with Pigeonpea in Fields of Côte d'Ivoire.	Fossou RK, Ziegler D, Zeze A, Barja F, Perret X.	Front Microbiol	10.3389/fmicb.2016.01793	2016
	Community-forming traits play role in effective colonization of plant-growth-promoting bacteria and improved plant growth.	Pathak D, Suman A, Sharma P, Aswini K, Govindasamy V, Gond S, Anshika R.	Front Plant Sci	10.3389/fpls.2024.1332745	2024
Genetics	Genome Sequence of Brevibacillus reuszeri NRRL NRS-1206T, an l-N-Carbamoylase-Producing Bacillus-Like Bacterium.	Wang JP, Liu B, Liu GH, Chen DJ, Ge CB, Chen Z, Che JM	Genome Announc	10.1128/genomeA.01063-15	2015

References

#3751	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9887
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#41218	; Curators of the CIP;
#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 .
#122169	Collection of Institut Pasteur ; Curators of the CIP; CIP 104543
#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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Brevibacillus reuszeri (DSM 9887, ATCC 51665, CIP 104543)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001187725

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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