Sporosarcina luteola (DSM 23150, CIP 109917, JCM 15791)

Name: Sporosarcina luteola (DSM 23150, CIP 109917, JCM 15791)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11999

Type strain

Strain Designation Y1

Culture col. no. DSM 23150 CIP 109917 JCM 15791 NBRC 105378 NCIMB 14541 3 more

NCBI tax ID(s) 582850

Special Collections DSMZ JCM CIP KCTC

Links

Sporosarcina luteola Y1 is an obligate aerobe, mesophilic, Gram-positive prokaryote that was isolated from surface of soy sauce production equipment.

Gram-positive motile rod-shaped obligate aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 364743

KCTC 33921,CIP 109917,NBRC 105378,NCIMB 14541,NRRL B-59180,JCM 15791,DSM 23150

@ref 20215

Last LPSN update 2025-12-16 09:49:44

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Caryophanaceae

Genus Sporosarcina

Species Sporosarcina luteola

Full scientific name Sporosarcina luteola Tominaga et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Motility
120690	positive	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
16734	BHI MEDIUM (DSMZ Medium 215)	Medium recipe at MediaDive	Name: BHI MEDIUM (DSMZ Medium 215; with strain-specific modifications) Composition: Brain heart infusion 37.0 g/l MnSO4 Distilled water
16734	CASO AGAR (MERCK 105458) (DSMZ Medium 220)	Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water
33338	MEDIUM 29- Brain heart agar		Distilled water make up to (1000.000 ml);Brain heart infusion agar (52.000 g)
120690	CIP Medium 29	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
16734	positive	growth	30	mesophilic
33338	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

120690

Oxygen toleranceobligate aerobe

Murein

@ref	Murein short key	Type
16734	A11.33	A4alpha L-Lys-D-Glu

Observation

67770

Observationquinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
120690	17632 ChEBI	nitrate	+	reduction
120690	16301 ChEBI	nitrite	-	reduction

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120690	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	+	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
120690	catalase	+	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
120690	oxidase	+
68382	trypsin	+	3.4.21.4	from API zym
120690	urease	-	3.5.1.5
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	vitamin K metabolism	100	5 of 5
66794	threonine metabolism	100	10 of 10
66794	adipate degradation	100	2 of 2
66794	lipoate biosynthesis	100	5 of 5
66794	formaldehyde oxidation	100	3 of 3
66794	L-lactaldehyde degradation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	biotin biosynthesis	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	denitrification	100	2 of 2
66794	valine metabolism	100	9 of 9
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	palmitate biosynthesis	95.45	21 of 22
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	gluconeogenesis	87.5	7 of 8
66794	flavin biosynthesis	86.67	13 of 15
66794	alanine metabolism	86.21	25 of 29
66794	propanol degradation	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	leucine metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	peptidoglycan biosynthesis	80	12 of 15
66794	propionate fermentation	80	8 of 10
66794	cellulose degradation	80	4 of 5
66794	pyrimidine metabolism	80	36 of 45
66794	photosynthesis	78.57	11 of 14
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	citric acid cycle	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	sulfopterin metabolism	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	purine metabolism	70.21	66 of 94
66794	methionine metabolism	69.23	18 of 26
66794	urea cycle	69.23	9 of 13
66794	arginine metabolism	66.67	16 of 24
66794	cyanate degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	acetoin degradation	66.67	2 of 3
66794	UDP-GlcNAc biosynthesis	66.67	2 of 3
66794	heme metabolism	64.29	9 of 14
66794	proline metabolism	63.64	7 of 11
66794	tryptophan metabolism	63.16	24 of 38
66794	ketogluconate metabolism	62.5	5 of 8
66794	cysteine metabolism	61.11	11 of 18
66794	non-pathway related	60.53	23 of 38
66794	methylglyoxal degradation	60	3 of 5
66794	starch degradation	60	6 of 10
66794	hydrogen production	60	3 of 5
66794	factor 420 biosynthesis	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	3-chlorocatechol degradation	60	3 of 5
66794	oxidative phosphorylation	59.34	54 of 91
66794	histidine metabolism	58.62	17 of 29
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	lysine metabolism	57.14	24 of 42
66794	polyamine pathway	56.52	13 of 23
66794	allantoin degradation	55.56	5 of 9
66794	lipid metabolism	54.84	17 of 31
66794	pentose phosphate pathway	54.55	6 of 11
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	CDP-diacylglycerol biosynthesis	50	1 of 2
66794	suberin monomers biosynthesis	50	1 of 2
66794	Entner Doudoroff pathway	50	5 of 10
66794	myo-inositol biosynthesis	50	5 of 10
66794	phenylpropanoid biosynthesis	46.15	6 of 13
66794	4-hydroxymandelate degradation	44.44	4 of 9
66794	d-mannose degradation	44.44	4 of 9
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	glutathione metabolism	42.86	6 of 14
66794	mevalonate metabolism	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	dTDPLrhamnose biosynthesis	37.5	3 of 8
66794	ginsenoside metabolism	37.5	6 of 16
66794	cholesterol biosynthesis	36.36	4 of 11
66794	vitamin B6 metabolism	36.36	4 of 11
66794	octane oxidation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	pantothenate biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	degradation of aromatic, nitrogen containing compounds	33.33	4 of 12
66794	sulfoquinovose degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	lipid A biosynthesis	33.33	3 of 9
66794	vitamin B12 metabolism	32.35	11 of 34
66794	ascorbate metabolism	31.82	7 of 22
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	sulfate reduction	30.77	4 of 13
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	phenol degradation	30	6 of 20
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	metabolism of disaccharids	27.27	3 of 11
66794	CMP-KDO biosynthesis	25	1 of 4
66794	degradation of pentoses	25	7 of 28
66794	lactate fermentation	25	1 of 4
66794	degradation of sugar alcohols	25	4 of 16
66794	cyclohexanol degradation	25	1 of 4
66794	nitrate assimilation	22.22	2 of 9

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
120690	-	+	+	+	-	+	-	-	+	+	+	+	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Engineered	#Food production
#Engineered	#Industrial

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
16734	surface of soy sauce production equipment	Japan	JPN	Asia
67770	Surface of soy sauce production equipment	Japan	JPN	Asia
120690	Surface of equipment in food plant	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB473560 (>99% sequence identity) for Sporosarcina luteola from Microbeatlas

Aquatic Samples	258
Soil Samples	1782
Animal Samples	663
Plant Samples	177
Total Samples	2880

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16734	1	Risk group (German classification) According to TRBA 466
120690	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
66792	ASM799149v1 assembly for Sporosarcina luteola NBRC 105378	contig	GCA_007991495	582850.3	2995756694	582850	56.97

Genome browser: GCA_007991495

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Sporosarcina luteola gene for 16S rRNA, partial sequence, strain: NBRC 105378	AB682252	1477		582850
16734	Sporosarcina luteola gene for 16S ribosomal RNA, partial sequence	AB473560	1507		582850

GC content

@ref	GC-content (mol%)	Method
16734	43.6	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: Sporosarcina luteola NBRC 105378
NCBI: GCA_007991495

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	70.20	no
125439	motility	BacteriaNetⓘ	yes	57.50	no
125439	gram_stain	BacteriaNetⓘ	variable	74.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	74.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sporosarcina luteola strain NBRC 105378
PATRIC: 582850.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.37	no
125438	anaerobic	anaerobicⓘ	no	91.44	no
125438	spore-forming	spore-formingⓘ	yes	84.42	no
125438	aerobic	aerobicⓘ	yes	84.06	yes
125438	thermophilic	thermophileⓘ	no	91.97	yes
125438	flagellated	motile2+ⓘ	yes	76.96	no

Literature

Title	Authors	Journal	DOI	Year
Phenotypic Characterization and Draft Genome Sequence Analyses of Two Novel Endospore-Forming Sporosarcina spp. Isolated from Canada Goose (Branta canadensis) Feces.	Keshri J, Smith KM, Svendsen MK, Keillor HR, Moss ML, Jordan HJ, Larkin AM, Garrish JK, Line JE, Ball PN, Oakley BB, Seal BS.	Microorganisms	10.3390/microorganisms12010070	2023
Unravelling the genetic and functional diversity of dominant bacterial communities involved in manure co-composting bioremediation of complex crude oil waste sludge.	Ubani O, Atagana HI, Selvarajan R, Ogola HJ.	Heliyon	10.1016/j.heliyon.2022.e08945	2022
Sporosarcina luteola sp. nov. isolated from soy sauce production equipment in Japan.	Tominaga T, An SY, Oyaizu H, Yokota A	J Gen Appl Microbiol	10.2323/jgam.55.217	2009

References

#16734	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23150
#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 )
#33338	; Curators of the CIP;
#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;
#68382	Automatically annotated from API zym .
#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 .
#120690	Collection of Institut Pasteur ; Curators of the CIP; CIP 109917
#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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Sporosarcina luteola (DSM 23150, CIP 109917, JCM 15791)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Murein

Observation

Metabolite utilization

Metabolite production

Enzymes

Pathway annotation

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_007991495

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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