Peptostreptococcus stomatis (DSM 17678, CCUG 51858, JCM 15636)

Name: Peptostreptococcus stomatis (DSM 17678, CCUG 51858, JCM 15636)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11847

Type strain

Strain Designation W2278

Culture col. no. DSM 17678 CCUG 51858 JCM 15636 W2278

NCBI tax ID(s) 596315 341694

Special Collections DSMZ CCUG JCM Literature strains

Links

Peptostreptococcus stomatis W2278 is an anaerobe, spore-forming, mesophilic prokaryote that was isolated from dento-alveolar abscess.

spore-forming Gram-positive coccus-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 290999

CCUG 51858,DSM 17678,JCM 15636

@ref 20215

Last LPSN update 2025-12-16 09:49:42

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Peptostreptococcaceae

Genus Peptostreptococcus

Species Peptostreptococcus stomatis

Full scientific name Peptostreptococcus stomatis Downes and Wade 2006

BacDive ID	Other strains from **Peptostreptococcus stomatis** (4)	Type strain
150428	P. stomatis CCUG 39893
151646	P. stomatis CCUG 44513
153359	P. stomatis CCUG 49327
156797	P. stomatis CCUG 65341

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
31678	positive	0.8-0.9 µm	0.8 µm	coccus-shaped

Colony morphology

59346

Incubation period2 days

Pigmentation

31678

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7120	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
7120	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
7120	positive	growth	37	mesophilic
31678	positive	growth	37	mesophilic
31678	positive	optimum	37	mesophilic
59346	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Culture pH

@ref	Ability	Type	PH
31678	positive	optimum	7
31678	positive	growth	7
59346	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
7120	anaerobe
31678	anaerobe
59346	anaerobe
125438	anaerobe
125439	anaerobe

Spore formation

31678

Spore formationyes

Observation

31678

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
31678	28757 ChEBI	fructose	+	carbon source
31678	17234 ChEBI	glucose	+	carbon source
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
31678	17306 ChEBI	maltose	+	carbon source
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	formaldehyde oxidation	100	3 of 3
66794	aminopropanol phosphate biosynthesis	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	palmitate biosynthesis	95.45	21 of 22
66794	NAD metabolism	94.44	17 of 18
66794	pentose phosphate pathway	90.91	10 of 11
66794	threonine metabolism	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	vitamin B1 metabolism	84.62	11 of 13
66794	glycogen metabolism	80	4 of 5
66794	starch degradation	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	vitamin B12 metabolism	79.41	27 of 34
66794	chorismate metabolism	77.78	7 of 9
66794	acetate fermentation	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	flavin biosynthesis	73.33	11 of 15
66794	alanine metabolism	72.41	21 of 29
66794	photosynthesis	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	phenylalanine metabolism	69.23	9 of 13
66794	octane oxidation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	pyrimidine metabolism	64.44	29 of 45
66794	purine metabolism	62.77	59 of 94
66794	cysteine metabolism	61.11	11 of 18
66794	factor 420 biosynthesis	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	methylglyoxal degradation	60	3 of 5
66794	oxidative phosphorylation	59.34	54 of 91
66794	reductive acetyl coenzyme A pathway	57.14	4 of 7
66794	heme metabolism	57.14	8 of 14
66794	citric acid cycle	57.14	8 of 14
66794	propanol degradation	57.14	4 of 7
66794	d-mannose degradation	55.56	5 of 9
66794	sulfate reduction	53.85	7 of 13
66794	glutamate and glutamine metabolism	53.57	15 of 28
66794	ethanol fermentation	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	biotin biosynthesis	50	2 of 4
66794	adipate degradation	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	C4 and CAM-carbon fixation	50	4 of 8
66794	non-pathway related	50	19 of 38
66794	sulfopterin metabolism	50	2 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	50	4 of 8
66794	methionine metabolism	50	13 of 26
66794	ribulose monophosphate pathway	50	1 of 2
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	isoprenoid biosynthesis	46.15	12 of 26
66794	vitamin B6 metabolism	45.45	5 of 11
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	glycine metabolism	40	4 of 10
66794	degradation of hexoses	38.89	7 of 18
66794	lysine metabolism	38.1	16 of 42
66794	ketogluconate metabolism	37.5	3 of 8
66794	tyrosine metabolism	35.71	5 of 14
66794	tetrahydrofolate metabolism	35.71	5 of 14
66794	tryptophan metabolism	34.21	13 of 38
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	valine metabolism	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	sphingosine metabolism	33.33	2 of 6
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	lipid metabolism	32.26	10 of 31
66794	histidine metabolism	31.03	9 of 29
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	urea cycle	30.77	4 of 13
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	propionate fermentation	30	3 of 10
66794	myo-inositol biosynthesis	30	3 of 10
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	metabolism of disaccharids	27.27	3 of 11
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	degradation of sugar alcohols	25	4 of 16
66794	toluene degradation	25	1 of 4
66794	degradation of aromatic, nitrogen containing compounds	25	3 of 12
66794	isoleucine metabolism	25	2 of 8
66794	arginine metabolism	25	6 of 24
66794	CMP-KDO biosynthesis	25	1 of 4
66794	leucine metabolism	23.08	3 of 13
66794	ascorbate metabolism	22.73	5 of 22
66794	nitrate assimilation	22.22	2 of 9
66794	glutathione metabolism	21.43	3 of 14

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
7120	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
7120	-	-	-	-	-	+	-	-	-	-	-	-	-	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Oral cavity and airways	#Tooth
#Host Body-Site	#Other	#Abscess

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
7120	dento-alveolar abscess	United Kingdom	GBR	Europe
59346	Human oral cavity	United Kingdom	GBR	Europe
67770	Human oral cavity

Taxonmaps

69479

Global distribution of 16S sequence DQ160208 (>99% sequence identity) for Peptostreptococcus stomatis from Microbeatlas

Aquatic Samples	2003
Soil Samples	1761
Animal Samples	103366
Plant Samples	649
Total Samples	107779

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7120	2	Risk group (German 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	ASM14767v1 assembly for Peptostreptococcus stomatis DSM 17678	contig	GCA_000147675	596315.3	648276712	596315	59.7

Genome browser: GCA_000147675

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7120	Peptostreptococcus stomatis strain W2278 16S ribosomal RNA gene, partial sequence	DQ160208	1465		341694

GC content

@ref	GC-content (mol%)
7120	36
67770	36

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Peptostreptococcus stomatis DSM 17678
NCBI: GCA_000147675

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	74.90	no
125439	motility	BacteriaNetⓘ	yes	82.00	no
125439	gram_stain	BacteriaNetⓘ	variable	82.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Peptostreptococcus stomatis DSM 17678
PATRIC: 596315.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.37	yes
125438	anaerobic	anaerobicⓘ	yes	92.99	yes
125438	spore-forming	spore-formingⓘ	yes	53.58	yes
125438	aerobic	aerobicⓘ	no	99.17	yes
125438	thermophilic	thermophileⓘ	no	96.45	yes
125438	flagellated	motile2+ⓘ	no	88.83	no

Literature

Title	Authors	Journal	Year
Antimicrobial peptides: Could cecropin A and nisin be new promising agents for the treatment of anaerobic infections.	Kurt Z, Demirci M, Ari S, Tokuc E, Kilincaslan AC, Ziyad MA, Kocazeybek BS, Tokman HB.	Pak J Pharm Sci	2024
Roseburia intestinalis Modulates Immune Responses by Inducing M1 Macrophage Polarization.	Bircher A, Katkeviciute E, Morsy Y, Lang S, Montalban-Arques A, Scharl M.	Int J Mol Sci	2025
Microbial and metabolic profiles unveil mutualistic microbe-microbe interaction in obesity-related colorectal cancer.	Li J, Chen Z, Wang Q, Du L, Yang Y, Guo F, Li X, Chao Y, Ma Y.	Cell Rep Med	2024
Impact of HIV on the Oral Microbiome of Children Living in Sub-Saharan Africa, Determined by Using an rpoC Gene Fragment Metataxonomic Approach.	Mann AE, O'Connell LM, Osagie E, Akhigbe P, Obuekwe O, Omoigberale A, Kelly C, DOMHaIN Study Team, Coker MO, Richards VP.	Microbiol Spectr	2023
Indoleacrylic Acid Produced by Commensal Peptostreptococcus Species Suppresses Inflammation.	Wlodarska M, Luo C, Kolde R, d'Hennezel E, Annand JW, Heim CE, Krastel P, Schmitt EK, Omar AS, Creasey EA, Garner AL, Mohammadi S, O'Connell DJ, Abubucker S, Arthur TD, Franzosa EA, Huttenhower C, Murphy LO, Haiser HJ, Vlamakis H, Porter JA, Xavier RJ.	Cell Host Microbe	2017
Proteomic indicators of oxidation and hydration state in colorectal cancer.	Dick JM.	PeerJ	2016
Microbial community profiling of human saliva using shotgun metagenomic sequencing.	Hasan NA, Young BA, Minard-Smith AT, Saeed K, Li H, Heizer EM, McMillan NJ, Isom R, Abdullah AS, Bornman DM, Faith SA, Choi SY, Dickens ML, Cebula TA, Colwell RR.	PLoS One	2014
Bacterium-Derived Cell-Penetrating Peptides Deliver Gentamicin To Kill Intracellular Pathogens.	Gomarasca M, F C Martins T, Greune L, Hardwidge PR, Schmidt MA, Ruter C.	Antimicrob Agents Chemother	2017
Uterine Commensal Peptostreptococcus Species Contribute to IDO1 Induction in Endometrial Cancer via Indoleacrylic Acid.	Wang Q, Liu Y, Chen W, Chen S, Su M, Zheng Y, Liu W, Li L, Zeng L, Shi Q, He J, Qian Y, Xuan X, Wen Q, Lash GE, Shi K.	Biomedicines	2024
Gut bacteria identified in colorectal cancer patients promote tumourigenesis via butyrate secretion.	Okumura S, Konishi Y, Narukawa M, Sugiura Y, Yoshimoto S, Arai Y, Sato S, Yoshida Y, Tsuji S, Uemura K, Wakita M, Matsudaira T, Matsumoto T, Kawamoto S, Takahashi A, Itatani Y, Miki H, Takamatsu M, Obama K, Takeuchi K, Suematsu M, Ohtani N, Fukunaga Y, Ueno M, Sakai Y, Nagayama S, Hara E.	Nat Commun	2021
Peptostreptococcus russellii sp. nov., isolated from a swine-manure storage pit.	Whitehead TR, Cotta MA, Falsen E, Moore E, Lawson PA	Int J Syst Evol Microbiol	2010
Peptostreptococcus stomatis sp. nov., isolated from the human oral cavity.	Downes J, Wade WG	Int J Syst Evol Microbiol	2006

References

#7120	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17678
#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 )
#31678	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 #27955 (see below)
#59346	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 51858
#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;
#68380	Automatically annotated from API rID32A .
#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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Peptostreptococcus stomatis (DSM 17678, CCUG 51858, JCM 15636)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000147675

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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