Bacillus velezensis (DSM 28326, CBMB205, KACC 17006)

Name: Bacillus velezensis (DSM 28326, CBMB205, KACC 17006)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23706

Type strain

Strain Designation CBMB205

Culture col. no. DSM 28326 CBMB205 KACC 17006 KACC 13105 NCCB 100236

NCBI tax ID(s) 492670

Special Collections DSMZ Literature strains

History DSMZ <- KACC; KACC 13105

Links

Bacillus velezensis CBMB205 is an aerobe, spore-forming, Gram-positive bacterium that was isolated from rice rhizosphere soil.

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

Name and taxonomic classification

SI-ID 371009

DSM 28326,KACC 13105,NCCB 100236,LMG 27586

@ref 20215

Last LPSN update 2026-05-29 08:30:29

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Bacillus

Species Bacillus velezensis

Full scientific name Bacillus velezensis Ruiz-García et al. 2005

Synonyms (2)

Bacillus methylotrophicus
Bacillus amyloliquefaciens subsp. plantarum

BacDive ID	Other strains from **Bacillus velezensis** (3)	Type strain
153720	B. velezensis CCUG 50740, CECT 5686, LMG 22478 (type strain)
1310	B. velezensis FZB42, DSM 23117, BGSC 10A6, LMG 26770
176926	B. velezensis PY2.3, DSM 119459

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
31322	positive	2.5 µm	0.5 µm	rod-shaped
29542	positive	1.8-2.7 µm	0.63-0.64 µm	rod-shaped

Pigmentation

29542

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
20434	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
20434	positive	growth	30
29542	positive	growth	20-45
29542	positive	optimum	28
31322	positive	growth	15-45
31322	positive	optimum	30

Culture pH

@ref	Ability	Type	PH	PH range
29542	positive	optimum	7
31322	positive	optimum	7.5
29542	positive	growth	02-10	alkaliphile
31322	positive	growth	05-10

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29542	aerobe
125439	facultative anaerobe	90.705

Spore formation

@ref	Spore formation	Confidence
31322
29542
125438		94.92

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31322	NaCl	positive	growth	<12 %
29542	NaCl	positive	growth	0-3 %
29542	NaCl	positive	optimum	0-3 %

Observation

@ref	Observation
29542	aggregates in chains
31322	aggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29542	17128 ChEBI	adipate	+	carbon source
31322	22599 ChEBI	arabinose	+	carbon source
29542	22599 ChEBI	arabinose	+	carbon source
31322	17057 ChEBI	cellobiose	+	carbon source
31322	4853 ChEBI	esculin	+	hydrolysis
29542	4853 ChEBI	esculin	+	hydrolysis
31322	28757 ChEBI	fructose	+	carbon source
31322	17234 ChEBI	glucose	+	carbon source
31322	17754 ChEBI	glycerol	+	carbon source
31322	28087 ChEBI	glycogen	+	carbon source
29542	27570 ChEBI	histidine	+	carbon source
29542	24996 ChEBI	lactate	+	carbon source
31322	17716 ChEBI	lactose	+	carbon source
29542	25115 ChEBI	malate	+	carbon source
31322	17306 ChEBI	maltose	+	carbon source
31322	29864 ChEBI	mannitol	+	carbon source
31322	37684 ChEBI	mannose	+	carbon source
29542	28053 ChEBI	melibiose	+	carbon source
31322	17632 ChEBI	nitrate	+	reduction
29542	17632 ChEBI	nitrate	+	reduction
31322	16634 ChEBI	raffinose	+	carbon source
29542	26546 ChEBI	rhamnose	+	carbon source
31322	33942 ChEBI	ribose	+	carbon source
29542	33942 ChEBI	ribose	+	carbon source
31322	17814 ChEBI	salicin	+	carbon source
29542	17814 ChEBI	salicin	+	carbon source
31322	30911 ChEBI	sorbitol	+	carbon source
29542	30911 ChEBI	sorbitol	+	carbon source
31322	17992 ChEBI	sucrose	+	carbon source
29542	17992 ChEBI	sucrose	+	carbon source
31322	27082 ChEBI	trehalose	+	carbon source
31322	18222 ChEBI	xylose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
31322	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
31322	catalase	+	1.11.1.6
29542	catalase	+	1.11.1.6
31322	cytochrome oxidase	+	1.9.3.1
29542	cytochrome oxidase	+	1.9.3.1
31322	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Rhizosphere

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
20434	rice rhizosphere soil	Chungbuk	Republic of Korea	KOR	Asia	36.9667	127.95 36.9667/127.95

Taxonmaps

69479

Global distribution of 16S sequence AY603658 (>99% sequence identity) for Bacillus from Microbeatlas

Aquatic Samples	2854
Soil Samples	3768
Animal Samples	9674
Plant Samples	1905
Total Samples	18201

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20434	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM211716v1 assembly for Bacillus velezensis CBMB205	complete	GCA_002117165	492670.175		492670	99.5
66792	ASM343188v1 assembly for Bacillus velezensis CBMB205	complete	GCA_003431885	492670.316	2916825012	492670	99.38
66792	IMG-taxon 2654588201 annotated assembly for Bacillus velezensis CBMB205	scaffold	GCA_900100225	492670.90	2654588201	492670	76.39
66792	ASM96026v2 assembly for Bacillus velezensis KACC 13105	contig	GCA_000960265	492670.10	2630968484	492670	75.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31322	Bacillus velezensis strain CR-502 16S ribosomal RNA gene, partial sequence	AY603658	1404		492670
20434	Bacillus methylotrophicus strain CBMB205 16S ribosomal RNA gene, partial sequence	EU194897	1445		492670

GC content

@ref	GC-content (mol%)
20434	45.0
29542	45
31322	46.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM211716v1 assembly for Bacillus velezensis CBMB205
NCBI: GCA_002117165

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.71	no
125439	gram_stain	BacteriaNetⓘ	variable	59.03	no
125439	motility	BacteriaNetⓘ	yes	54.55	no
125439	spore_formation	BacteriaNetⓘ	yes	56.62	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus velezensis CBMB205
NCBI: GCA_002117165.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.26	yes
125438	anaerobic	anaerobicⓘ	no	90.45	no
125438	aerobic	aerobicⓘ	yes	76.42	yes
125438	spore-forming	spore-formingⓘ	yes	94.92	yes
125438	thermophilic	thermophileⓘ	no	94.38	no
125438	flagellated	motile2+ⓘ	yes	88.26	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Whole genome sequencing data of the submerged macrophytes growth promoting and aerobic denitrifying bacterium Bacillus velezensis NBNZ-0060.	Chen W, He X, Min Y, Zheng J, Li S, Xu Y, Wang Y, Liu X, Gong Y, Zhu L.	Data Brief	10.1016/j.dib.2023.109950	2024
Genetics	Genomic insights into the taxonomic status and bioactive gene cluster profiling of Bacillus velezensis RVMD2 isolated from desert rock varnish in Ma'an, Jordan.	Alnaimat SM, Abushattal S, Dmour SM, Al-Awaida WJ, Ayyash AM, Goh KW.	PLoS One	10.1371/journal.pone.0319345	2025
	The research on the identification, taxonomy, and comparative genomics analysis of nine Bacillus velezensis strains significantly contributes to microbiology, genetics, bioinformatics, and biotechnology.	Sousa EG, Campos GM, Viana MVC, Gomes GC, Rodrigues DLN, Aburjaile FF, Fonseca BB, de Araujo MRB, da Costa MM, Guedon E, Brenig B, Soares S, Azevedo V.	Front Microbiol	10.3389/fmicb.2025.1544934	2025
	Bioassay and Whole-Genome Analysis of Bacillus velezensis FIO1408, a Biocontrol Agent Against Pathogenic Bacteria in Aquaculture.	Huang W, Qu L, Gao P, Du G.	Curr Microbiol	10.1007/s00284-023-03423-9	2023
	Food safety and biological control; genomic insights and antimicrobial potential of Bacillus velezensis FB2 against agricultural fungal pathogens.	Hammad M, Ali H, Hassan N, Tawab A, Salman M, Jawad I, de Jong A, Moreno CM, Kuipers OP, Feroz Y, Rashid MH.	PLoS One	10.1371/journal.pone.0291975	2023
Metabolism	Reclassification of the biocontrol agents Bacillus subtilis BY-2 and Tu-100 as Bacillus velezensis and insights into the genomic and specialized metabolite diversity of the species.	Mullins AJ, Li Y, Qin L, Hu X, Xie L, Gu C, Mahenthiralingam E, Liao X, Webster G.	Microbiology (Reading)	10.1099/mic.0.000986	2020
Genetics	Functional Analyses of the Bacillus velezensis HMB26553 Genome Provide Evidence That Its Genes Are Potentially Related to the Promotion of Plant Growth and Prevention of Cotton Rhizoctonia Damping-Off.	Su Z, Liu G, Liu X, Li S, Lu X, Wang P, Zhao W, Zhang X, Dong L, Qu Y, Zhang J, Mo S, Guo Q, Ma P.	Cells	10.3390/cells12091301	2023
	Plant growth-promoting bacteria as biological control agents for sustainable agriculture: targeting root-knot nematodes.	Mata AS, Cruz C, Gaspar JR, Abrantes I, Conceicao IL, Morais PV, Proenca DN.	Front Plant Sci	10.3389/fpls.2025.1567265	2025
Pathogenicity	Antifungal Activity of Isolated Bacillus amyloliquefaciens SYBC H47 for the Biocontrol of Peach Gummosis.	Li X, Zhang Y, Wei Z, Guan Z, Cai Y, Liao X.	PLoS One	10.1371/journal.pone.0162125	2016
Genetics	Complete Genome Sequence of Bacillus velezensis CBMB205, a Phosphate-Solubilizing Bacterium Isolated from the Rhizoplane of Rice in the Republic of Korea.	Hwangbo K, Um Y, Kim KY, Madhaiyan M, Sa TM, Lee Y	Genome Announc	10.1128/genomeA.00654-16	2016
Phylogeny	Phylogenomic analysis shows that Bacillus amyloliquefaciens subsp. plantarum is a later heterotypic synonym of Bacillus methylotrophicus.	Dunlap CA, Kim SJ, Kwon SW, Rooney AP	Int J Syst Evol Microbiol	10.1099/ijs.0.000226	2015
Phylogeny	Bacillus oryzicola sp. nov., an Endophytic Bacterium Isolated from the Roots of Rice with Antimicrobial, Plant Growth Promoting, and Systemic Resistance Inducing Activities in Rice.	Chung EJ, Hossain MT, Khan A, Kim KH, Jeon CO, Chung YR	Plant Pathol J	10.5423/PPJ.OA.12.2014.0136	2015
Phylogeny	Bacillus methylotrophicus sp. nov., a methanol-utilizing, plant-growth-promoting bacterium isolated from rice rhizosphere soil.	Madhaiyan M, Poonguzhali S, Kwon SW, Sa TM	Int J Syst Evol Microbiol	10.1099/ijs.0.015487-0	2009

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 )
#20434	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28326
#25938	IJSEM 2490 2010 ( DOI 10.1099/ijs.0.015487-0 , PubMed 19966000 )
#27637	IJSEM 191 2005 ( DOI 10.1099/ijs.0.63310-0 , PubMed 15653875 )
#29542	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 #25938
#31322	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 #27637
#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) .
#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 .
#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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Bacillus velezensis (DSM 28326, CBMB205, KACC 17006)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002117165

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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