Salimicrobium jeotgali (DSM 105371, JCM 19758, KACC 16972)

Name: Salimicrobium jeotgali (DSM 105371, JCM 19758, KACC 16972)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140081

Type strain

Strain Designation MJ3

Culture col. no. DSM 105371 JCM 19758 KACC 16972 MJ3

NCBI tax ID(s) 1230341

Special Collections DSMZ JCM

History <- KACC, Korean Agricultural Culture Collection, 166,Nongsaengmyeong-ro,Iseo-myeon,Wanju-Gun,Jeollabuk-do, Republik of Korea; KACC 16972 <- C.O. Jeon, Chung-Ang University; MJ3 C. O. Jeon; Chung-Ang Univ., South Korea; MJ3.

Links

Salimicrobium jeotgali MJ3 is a bacterium that was isolated from fermented anchovy .

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 396634

JCM 19758,DSM 105371

@ref 20215

Last LPSN update 2026-02-09 11:33:31

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Salimicrobium

Species Salimicrobium jeotgali

Full scientific name Salimicrobium jeotgali Choi et al. 2014

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
42688	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)
42688	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90

Observation

67770

Observationquinones: MK-7

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	suberin monomers biosynthesis	100	2 of 2
66794	ribulose monophosphate pathway	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	lipoate biosynthesis	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	adipate degradation	100	2 of 2
66794	L-lactaldehyde degradation	100	3 of 3
66794	chorismate metabolism	100	9 of 9
66794	vitamin K metabolism	100	5 of 5
66794	ceramide biosynthesis	100	1 of 1
66794	enterobactin biosynthesis	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	folate polyglutamylation	100	1 of 1
66794	acetate fermentation	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	aerobactin biosynthesis	100	1 of 1
66794	aspartate and asparagine metabolism	100	9 of 9
66794	palmitate biosynthesis	95.45	21 of 22
66794	vitamin B1 metabolism	92.31	12 of 13
66794	pentose phosphate pathway	90.91	10 of 11
66794	propionate fermentation	90	9 of 10
66794	threonine metabolism	90	9 of 10
66794	valine metabolism	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	propanol degradation	85.71	6 of 7
66794	photosynthesis	85.71	12 of 14
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	cellulose degradation	80	4 of 5
66794	citric acid cycle	78.57	11 of 14
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	leucine metabolism	76.92	10 of 13
66794	sulfopterin metabolism	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	purine metabolism	73.4	69 of 94
66794	flavin biosynthesis	73.33	11 of 15
66794	alanine metabolism	72.41	21 of 29
66794	NAD metabolism	72.22	13 of 18
66794	heme metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	pyrimidine metabolism	71.11	32 of 45
66794	glycolysis	70.59	12 of 17
66794	urea cycle	69.23	9 of 13
66794	degradation of sugar alcohols	68.75	11 of 16
66794	acetoin degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	non-pathway related	63.16	24 of 38
66794	oxidative phosphorylation	62.64	57 of 91
66794	ketogluconate metabolism	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	cysteine metabolism	61.11	11 of 18
66794	Entner Doudoroff pathway	60	6 of 10
66794	starch degradation	60	6 of 10
66794	3-chlorocatechol degradation	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	tryptophan metabolism	57.89	22 of 38
66794	methionine metabolism	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	d-mannose degradation	55.56	5 of 9
66794	lipid metabolism	54.84	17 of 31
66794	lysine metabolism	54.76	23 of 42
66794	proline metabolism	54.55	6 of 11
66794	arginine metabolism	54.17	13 of 24
66794	histidine metabolism	51.72	15 of 29
66794	toluene degradation	50	2 of 4
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	quinate degradation	50	1 of 2
66794	coenzyme M biosynthesis	50	5 of 10
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	myo-inositol biosynthesis	50	5 of 10
66794	butanoate fermentation	50	2 of 4
66794	glutathione metabolism	50	7 of 14
66794	ethanol fermentation	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	bile acid biosynthesis, neutral pathway	47.06	8 of 17
66794	phenylpropanoid biosynthesis	46.15	6 of 13
66794	vitamin B6 metabolism	45.45	5 of 11
66794	hydrogen production	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	metabolism of disaccharids	36.36	4 of 11
66794	degradation of pentoses	35.71	10 of 28
66794	polyamine pathway	34.78	8 of 23
66794	lipid A biosynthesis	33.33	3 of 9
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	cyanate degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	sulfate reduction	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	tyrosine metabolism	28.57	4 of 14
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	degradation of hexoses	27.78	5 of 18
66794	ascorbate metabolism	27.27	6 of 22
66794	d-xylose degradation	27.27	3 of 11
66794	androgen and estrogen metabolism	25	4 of 16
66794	carnitine metabolism	25	2 of 8
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	biotin biosynthesis	25	1 of 4
66794	vitamin B12 metabolism	23.53	8 of 34
66794	nitrate assimilation	22.22	2 of 9
66794	molybdenum cofactor biosynthesis	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Vegetable (incl. Grains)
#Engineered	#Food production	#Fermented

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
42688	fermented anchovy (myeolchi-jeot)	Seoul	Republic of Korea	KOR	Asia
67770	Jeotgal, Korean salted and fermented seafood (anchovy jeotgal)		Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence KF732837 (>99% sequence identity) for Salimicrobium from Microbeatlas

Aquatic Samples	301
Soil Samples	46
Animal Samples	650
Plant Samples	22
Total Samples	1019

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
42688	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	ASM168543v3 assembly for Salimicrobium jeotgali MJ3	complete	GCA_001685435	1230341.14	2814123355	1230341	97.63
66792	ASM1690909v1 assembly for Salimicrobium jeotgali DSM 105371	contig	GCA_016909095	1230341.13	2901277488	1230341	70.33
67770	ASM29929v2 assembly for Salimicrobium jeotgali MJ3	contig	GCA_000299295	1230341.3	2519899587	1230341	66.85

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
42688	Salimicrobium jeotgali strain MJ3 16S ribosomal RNA gene, partial sequence	KF732837	1561		1230341

GC content

@ref	GC-content (mol%)	Method
42688	46.3
67770	46.27	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Salimicrobium jeotgali MJ3
NCBI: GCA_001685435

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.00	no
125439	gram_stain	BacteriaNetⓘ	variable	84.90	no
125439	motility	BacteriaNetⓘ	yes	82.60	no
125439	spore_formation	BacteriaNetⓘ	yes	79.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Salimicrobium jeotgali MJ3
NCBI: GCA_001685435.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	80.03	no
125438	anaerobic	anaerobicⓘ	no	95.81	no
125438	aerobic	aerobicⓘ	yes	79.49	no
125438	spore-forming	spore-formingⓘ	no	51.72	no
125438	thermophilic	thermophileⓘ	no	89.30	yes
125438	flagellated	motile2+ⓘ	yes	66.41	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Salimicrobium jeotgali sp. nov., isolated from salted, fermented seafood.	Choi EJ, Jin HM, Kim KH, Jeon CO	Int J Syst Evol Microbiol	10.1099/ijs.0.062042-0	2014

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 )
#42688	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105371
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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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Salimicrobium jeotgali (DSM 105371, JCM 19758, KACC 16972)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001685435

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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