Brevibacterium jeotgali (DSM 29217, JCM 18571, KACC 16911)

Name: Brevibacterium jeotgali (DSM 29217, JCM 18571, KACC 16911)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130226

Type strain

Strain Designation SJ5-8

Culture col. no. DSM 29217 JCM 18571 KACC 16911 SJ5-8

NCBI tax ID(s) 1262550

Special Collections DSMZ JCM Literature strains

History <- KACC; KACC 16911 C. O. Jeon SJ5-8.

Links

Brevibacterium jeotgali SJ5-8 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from seau-jeot , a traditional fermented seafood.

Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407126

JCM 18571,DSM 29217

@ref 20215

Last LPSN update 2026-02-09 11:31:10

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Brevibacteriaceae

Genus Brevibacterium

Species Brevibacterium jeotgali

Full scientific name Brevibacterium jeotgali Choi et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30994	positive	1.1 µm	0.5 µm	rod-shaped
125438					91.5
125438	positive				90.688
125439	positive				94.4

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
21537	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
21537	positive	growth	28
30994	positive	growth	10-37
30994	positive	optimum	30
67770	positive	growth	28

Culture pH

@ref	Ability	Type	PH	PH range
30994	positive	optimum	8
30994	positive	growth	6.0-9.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

30994

Oxygen toleranceaerobe

Spore formation

30994

Spore formationno

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30994	NaCl	positive	growth	0-14 %
30994	NaCl	positive	optimum	5 %

Observation

@ref	Observation
30994	aggregates in clumps
67770	quinones: MK-8(H₂)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30994	62064 ChEBI	2,3-butanediol	+	carbon source
30994	28644 ChEBI	2-oxopentanoate	+	carbon source
30994	16449 ChEBI	alanine	+	carbon source
30994	17057 ChEBI	cellobiose	+	carbon source
30994	15740 ChEBI	formate	+	carbon source
30994	24148 ChEBI	galactonate	+	carbon source
30994	24175 ChEBI	galacturonate	+	carbon source
30994	5417 ChEBI	glucosamine	+	carbon source
30994	17234 ChEBI	glucose	+	carbon source
30994	17754 ChEBI	glycerol	+	carbon source
30994	15428 ChEBI	glycine	+	carbon source
30994	24996 ChEBI	lactate	+	carbon source
30994	17716 ChEBI	lactose	+	carbon source
30994	506227 ChEBI	N-acetylglucosamine	+	carbon source
30994	17632 ChEBI	nitrate	+	reduction
30994	28044 ChEBI	phenylalanine	+	carbon source
30994	26271 ChEBI	proline	+	carbon source
30994	17148 ChEBI	putrescine	+	carbon source
30994	26490 ChEBI	quinate	+	carbon source
30994	26546 ChEBI	rhamnose	+	carbon source
30994	15963 ChEBI	ribitol	+	carbon source
30994	30031 ChEBI	succinate	+	carbon source
30994	27082 ChEBI	trehalose	+	carbon source
30994	53423 ChEBI	tween 40	+	carbon source
30994	53426 ChEBI	tween 80	+	carbon source
30994	16704 ChEBI	uridine	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30994	acid phosphatase	+	3.1.3.2
30994	alkaline phosphatase	+	3.1.3.1
30994	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Seafood
#Engineered	#Food production	#Fermented

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
21537	seau-jeot (shrimp jeotgal), a traditional fermented seafood		Republic of Korea	KOR	Asia
67770	Seau-jeot (shrimp jeotgal), a traditional fermented seafood	Seau-jeot	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence JX152779 (>99% sequence identity) for Brevibacterium from Microbeatlas

Aquatic Samples	36
Soil Samples	244
Animal Samples	824
Plant Samples	15
Total Samples	1119

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
21537	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	Brevibacterium jeotgali SJ5-8	complete			2600255371	1262550	80.55
66792	ASM782815v1 assembly for Brevibacterium jeotgali DSM 29217	contig	GCA_007828155	1262550.4	2806310637	1262550	67.9
67770	Assembly_BJEO58 assembly for Brevibacterium jeotgali SJ5-8	contig	GCA_900169175	1262550.3		1262550	62.97

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
21537	Brevibacterium jeotgali strain SJ5-8 16S ribosomal RNA gene, partial sequence	JX152779	1424		1262550

GC content

@ref	GC-content (mol%)	Method
21537	69.3
67770	69.3	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Brevibacterium jeotgali DSM 29217
NCBI: GCA_007828155

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	81.00	no
125439	gram_stain	BacteriaNetⓘ	positive	94.40	no
125439	motility	BacteriaNetⓘ	no	65.70	no
125439	spore_formation	BacteriaNetⓘ	no	75.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Brevibacterium jeotgali strain DSM 29217
PATRIC: 1262550.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.69	no
125438	anaerobic	anaerobicⓘ	no	97.58	yes
125438	spore-forming	spore-formingⓘ	no	77.76	yes
125438	aerobic	aerobicⓘ	yes	87.46	yes
125438	thermophilic	thermophileⓘ	no	95.00	yes
125438	flagellated	motile2+ⓘ	no	91.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft genome sequence of a new carotenoid-producing strain Brevibacterium sp. XU54, isolated from radioactive soil in Xinjiang, China.	Zhang Z, Huang C, Du B, Xie C, Jiang L, Tang S, Xu X.	3 Biotech	10.1007/s13205-022-03366-1	2022
Phylogeny	Brevibacterium jeotgali sp. nov., isolated from jeotgal, a traditional Korean fermented seafood.	Choi EJ, Lee SH, Jung JY, Jeon CO	Int J Syst Evol Microbiol	10.1099/ijs.0.049197-0	2013
Phylogeny	Brevibacterium metallicus sp. nov., an endophytic bacterium isolated from roots of Prosopis laegivata grown at the edge of a mine tailing in Mexico.	Roman-Ponce B, Li YH, Vasquez-Murrieta MS, Sui XH, Chen WF, Estrada-de Los Santos P, Wang ET	Arch Microbiol	10.1007/s00203-015-1156-6	2015

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 )
#21537	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29217
#27324	IJSEM 3430 2013 ( DOI 10.1099/ijs.0.049197-0 , PubMed 23543497 )
#30994	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 #27324
#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 .
#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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Brevibacterium jeotgali (DSM 29217, JCM 18571, KACC 16911)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

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_007828155

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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