Leucobacter salsicius (DSM 103340, JCM 16362, KACC 21127)

Name: Leucobacter salsicius (DSM 103340, JCM 16362, KACC 21127)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132119

Type strain

Strain Designation M1-8

Culture col. no. DSM 103340 JCM 16362 KACC 21127 M1-8

NCBI tax ID(s) 1238186 664638

Special Collections DSMZ JCM Literature strains

History <- JCM, Riken Bioresource Center, Tsukuba, Japan; JCM 16362 <- J.-W. Bae, M1-8 J.-W. Bae M1-8.

Links

Leucobacter salsicius M1-8 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from jeotgal, a Korean salt-fermented food.

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

Name and taxonomic classification

SI-ID 406458

JCM 16362,DSM 103340

@ref 20215

Last LPSN update 2026-02-09 11:31:38

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Leucobacter

Species Leucobacter salsicius

Full scientific name Leucobacter salsicius Yun et al. 2011

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell shape	Confidence
29800	positive	1.25 µm	rod-shaped
125438				94.5
125438	positive			92.813

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23909	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
23909	positive	growth	28
29800	positive	growth	25-30
29800	positive	optimum	27.5
67770	positive	growth	28

Culture pH

@ref	Ability	Type	PH
29800	positive	optimum	7.5
29800	positive	growth	7.0-8.0

Physiology and metabolism

Oxygen tolerance

29800

Oxygen toleranceaerobe

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29800	NaCl	positive	growth	0-4 %
29800	NaCl	positive	optimum	2 %

Observation

67770

Observationquinones: MK-11

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29800	58143 ChEBI	5-dehydro-D-gluconate	+	carbon source
29800	4853 ChEBI	esculin	+	hydrolysis
29800	17234 ChEBI	glucose	+	carbon source
29800	17716 ChEBI	lactose	+	carbon source
29800	17814 ChEBI	salicin	+	carbon source
29800	30911 ChEBI	sorbitol	+	carbon source
29800	17992 ChEBI	sucrose	+	carbon source
29800	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29800	catalase	+	1.11.1.6

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
23909	jeotgal, a Korean salt-fermented food	Republic of Korea	KOR	Asia
67770	Jeotgal (a Korean salt-fermented food containing tiny shrimps)

Taxonmaps

69479

Global distribution of 16S sequence GQ352403 (>99% sequence identity) for Leucobacter salsicius from Microbeatlas

Aquatic Samples	452
Soil Samples	306
Animal Samples	1442
Plant Samples	40
Total Samples	2240

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
23909	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	Leucobacter salsicius M1-8T draft genome assembly for Leucobacter salsicius M1-8	contig	GCA_000350525	1238186.3	2526164546	1238186	72.45

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
23909	Leucobacter salsicius M1-8 16S ribosomal RNA gene, partial sequence	GQ352403	1448		1238186

GC content

@ref	GC-content (mol%)	Method
23909	62.8
67770	64.5	genome sequence analysis
67770	62.8	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: Leucobacter salsicius M1-8
NCBI: GCA_000350525

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	81.50	no
125439	gram_stain	BacteriaNetⓘ	positive	86.80	no
125439	motility	BacteriaNetⓘ	no	84.30	no
125439	spore_formation	BacteriaNetⓘ	no	80.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Leucobacter salsicius M1-8
PATRIC: 1238186.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.81	no
125438	anaerobic	anaerobicⓘ	no	98.79	yes
125438	spore-forming	spore-formingⓘ	no	84.14	no
125438	aerobic	aerobicⓘ	yes	87.92	yes
125438	thermophilic	thermophileⓘ	no	95.83	yes
125438	flagellated	motile2+ⓘ	no	94.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Genome sequence of the chromate-resistant bacterium Leucobacter salsicius type strain M1-8(T.).	Yun JH, Cho YJ, Chun J, Hyun DW, Bae JW	Stand Genomic Sci	10.4056/sigs.4708537	2013
Phylogeny	Leucobacter margaritiformis sp. nov., isolated from bamboo extract.	Lee JH, Lee SS	Curr Microbiol	10.1007/s00284-012-0089-4	2012
Phylogeny	Leucobacter salsicius sp. nov., from a salt-fermented food.	Yun JH, Roh SW, Kim MS, Jung MJ, Park EJ, Shin KS, Nam YD, Bae JW	Int J Syst Evol Microbiol	10.1099/ijs.0.021360-0	2010

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 )
#23909	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103340
#26177	IJSEM 502 2011 ( DOI 10.1099/ijs.0.021360-0 , PubMed 20363927 )
#29800	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 #26177
#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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Leucobacter salsicius (DSM 103340, JCM 16362, KACC 21127)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

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_000350525

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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