Streptococcus parasanguinis (CCUG 21026, ATCC 903)

Name: Streptococcus parasanguinis (CCUG 21026, ATCC 903)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 143692

Type strain

Culture col. no. CCUG 21026 ATCC 903

NCBI tax ID(s) 888048 1318

Special Collections CCUG

Links

Streptococcus parasanguinis CCUG 21026 is a microaerophile bacterium that was isolated from Human ulcerate sore throat.

microaerophile genome sequence Bacteria

Name and taxonomic classification

SI-ID 10079

LMG 17595,ATCC 903,CCUG 21026,NRRL B-14574

@ref 20215

Last LPSN update 2026-05-29 08:40:30

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus parasanguinis

Full scientific name Streptococcus parasanguinis corrig. Whiley et al. 1990

Synonyms (1)

Streptococcus parasanguis

BacDive ID	Other strains from **Streptococcus parasanguinis** (29)	Type strain
14792	S. parasanguinis SS 898, CCUG 30417, LMG 14537, KCTC 15406, ... (type strain)
144358	S. parasanguinis CCUG 24736 A
145017	S. parasanguinis CCUG 27421
145141	S. parasanguinis CCUG 27742
145142	S. parasanguinis CCUG 27743, LMG 14556
146128	S. parasanguinis CCUG 30418, ATCC 15911, LMG 14538
146129	S. parasanguinis CCUG 30419, LMG 14539
146130	S. parasanguinis CCUG 30420, LMG 14540
146131	S. parasanguinis CCUG 30422
146132	S. parasanguinis CCUG 30423, LMG 14541
146437	S. parasanguinis CCUG 31133
147020	S. parasanguinis CCUG 32656
148066	S. parasanguinis CCUG 34756
148357	S. parasanguinis CCUG 35277
148670	S. parasanguinis CCUG 35789
148672	S. parasanguinis CCUG 35792
150584	S. parasanguinis CCUG 41671
150626	S. parasanguinis CCUG 41792
151054	S. parasanguinis CCUG 43167 A
151818	S. parasanguinis CCUG 44975
151938	S. parasanguinis CCUG 45282
153561	S. parasanguinis CCUG 50180
153653	S. parasanguinis CCUG 50500
154062	S. parasanguinis CCUG 52191
154878	S. parasanguinis CCUG 55521
154879	S. parasanguinis CCUG 55522
154957	S. parasanguinis CCUG 55864
155202	S. parasanguinis CCUG 56890
155740	S. parasanguinis CCUG 59181

Morphology

Colony morphology

@ref	Type of hemolysis	Hemolysis ability
68370	beta	1	from API 20STR

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
47257	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
47257	microaerophile
125439	facultative anaerobe	93.941

Spore formation

@ref	Spore formation	Confidence
125439		95.908

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68381	40585 ChEBI	alpha-cyclodextrin	-	builds acid from	from API rID32STR
68381	29016 ChEBI	arginine	-	hydrolysis	from API rID32STR
68380	29016 ChEBI	arginine	+	hydrolysis	from API rID32A
68370	29016 ChEBI	arginine	+	hydrolysis	from API 20STR
68381	18333 ChEBI	D-arabitol	-	builds acid from	from API rID32STR
68370	16899 ChEBI	D-mannitol	-	builds acid from	from API 20STR
68381	16899 ChEBI	D-mannitol	-	builds acid from	from API rID32STR
68380	16024 ChEBI	D-mannose	+	fermentation	from API rID32A
68381	16988 ChEBI	D-ribose	-	builds acid from	from API rID32STR
68370	16988 ChEBI	D-ribose	-	builds acid from	from API 20STR
68370	17924 ChEBI	D-sorbitol	-	builds acid from	from API 20STR
68381	16443 ChEBI	D-tagatose	+	builds acid from	from API rID32STR
68370	4853 ChEBI	esculin	-	hydrolysis	from API 20STR
68381	28087 ChEBI	glycogen	-	builds acid from	from API rID32STR
68370	28087 ChEBI	glycogen	-	builds acid from	from API 20STR
68370	606565 ChEBI	hippurate	-	hydrolysis	from API 20STR
68381	606565 ChEBI	hippurate	-	hydrolysis	from API rID32STR
68370	15443 ChEBI	inulin	-	builds acid from	from API 20STR
68381	30849 ChEBI	L-arabinose	-	builds acid from	from API rID32STR
68370	30849 ChEBI	L-arabinose	-	builds acid from	from API 20STR
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68381	17716 ChEBI	lactose	+	builds acid from	from API rID32STR
68370	17716 ChEBI	lactose	+	builds acid from	from API 20STR
68381	17306 ChEBI	maltose	+	builds acid from	from API rID32STR
68381	6731 ChEBI	melezitose	-	builds acid from	from API rID32STR
68381	28053 ChEBI	melibiose	+	builds acid from	from API rID32STR
68381	320055 ChEBI	methyl beta-D-glucopyranoside	-	builds acid from	from API rID32STR
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68381	27941 ChEBI	pullulan	-	builds acid from	from API rID32STR
68381	16634 ChEBI	raffinose	+	builds acid from	from API rID32STR
68380	16634 ChEBI	raffinose	+	fermentation	from API rID32A
68370	16634 ChEBI	raffinose	+	builds acid from	from API 20STR
68381	30911 ChEBI	sorbitol	-	builds acid from	from API rID32STR
68370	28017 ChEBI	starch	-	builds acid from	from API 20STR
68381	17992 ChEBI	sucrose	+	builds acid from	from API rID32STR
68381	27082 ChEBI	trehalose	-	builds acid from	from API rID32STR
68370	27082 ChEBI	trehalose	-	builds acid from	from API 20STR
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite
68381	15688 ChEBI	acetoin	from API rID32STR
68370	15688 ChEBI	acetoin	from API 20STR
68380	35581 ChEBI	indole	from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test	Indole test
68381	15688 ChEBI	acetoin	-		from API rID32STR
68370	15688 ChEBI	acetoin	+		from API 20STR
68380	35581 ChEBI	indole		-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
68381	Alanyl-Phenylalanyl-Proline arylamidase	+		from API rID32STR
68380	alkaline phosphatase	+	3.1.3.1	from API rID32A
68381	alkaline phosphatase	+	3.1.3.1	from API rID32STR
68370	alkaline phosphatase	+	3.1.3.1	from API 20STR
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	+	3.2.1.51	from API rID32A
68381	alpha-galactosidase	+	3.2.1.22	from API rID32STR
68380	alpha-galactosidase	+	3.2.1.22	from API rID32A
68370	alpha-galactosidase	+	3.2.1.22	from API 20STR
68380	alpha-glucosidase	+	3.2.1.20	from API rID32A
68381	arginine dihydrolase	-	3.5.3.6	from API rID32STR
68380	arginine dihydrolase	+	3.5.3.6	from API rID32A
68370	arginine dihydrolase	+	3.5.3.6	from API 20STR
68381	beta-galactosidase	-	3.2.1.23	from API rID32STR
68380	beta-galactosidase	+	3.2.1.23	from API rID32A
68370	beta-galactosidase	-	3.2.1.23	from API 20STR
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68381	beta-glucosidase	-	3.2.1.21	from API rID32STR
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68370	beta-glucosidase	-	3.2.1.21	from API 20STR
68381	beta-glucuronidase	+	3.2.1.31	from API rID32STR
68380	beta-glucuronidase	+	3.2.1.31	from API rID32A
68370	beta-glucuronidase	+	3.2.1.31	from API 20STR
68381	beta-mannosidase	-	3.2.1.25	from API rID32STR
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	+		from API rID32A
68381	glycyl tryptophan arylamidase	-		from API rID32STR
68380	histidine arylamidase	+		from API rID32A
68380	L-arginine arylamidase	+		from API rID32A
68380	leucine arylamidase	+	3.4.11.1	from API rID32A
68370	leucine arylamidase	+	3.4.11.1	from API 20STR
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68381	N-acetyl-beta-glucosaminidase	+	3.2.1.52	from API rID32STR
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
68381	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32STR
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68370	pyrrolidonyl arylamidase	+	3.4.19.3	from API 20STR
68380	serine arylamidase	+		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	+		from API rID32A
68381	urease	-	3.5.1.5	from API rID32STR
68380	urease	-	3.5.1.5	from API rID32A

API 20STR

@ref	Acetoin production (Voges Proskauer test)VP	HIP	ESC	PYRA	alpha GAL	beta GUR	beta GAL	PAL	LAP	ADH	RIB	ARA	MAN	SOR	LAC	TRE	INU	RAF	AMD	GLYG	beta hemolysis presentbeta HEM
47257	+	-	-	+	+	+	-	+	+	+	-	-	-	-	+	-	-	+	-	-	+

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
47257	-	+	+	+	-	+	-	-	+	+	+	+	-	+	-	-	+	+	+	-	+	+	-	+	+	+	+	-	+

API rID32STR

@ref	ADH (Arg)	beta GLU	beta GAR	beta GUR	alpha GAL	PAL	RIB	MAN	SOR	LAC	TRE	RAF	SAC	LARA	DARL	Acid from alpha-cyclodextrinCDEX	Acetoin production (Voges Proskauer test)VP	Alanyl-Phenylalanyl-Proline arylamidaseAPPA	beta GAL	Pyrrolidonyl arylamidasePyrA	N-Acetyl-glucosaminidasebeta NAG	Glycyl-tryptophan arylamidaseGTA	HIP	GLYG	PUL	MAL	MEL	MLZ	Acidification of methyl beta-D-glucopyranosideMbeta DG	TAG	beta MAN	URE
47257	-	-	+	+	+	+	-	-	-	+	-	+	+	-	-	-	-	+	-	-	+	-	-	-	-	+	+	-	-	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Oral cavity and airways	#Throat
#Infection	#Disease	-
#Infection	#Patient	-

Isolation

@ref	Sample type	Host species
47257	Human ulcerate sore throat	Homo sapiens

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM18750v1 assembly for Streptococcus parasanguinis ATCC 903	scaffold	GCA_000187505	888048.3	649990009	888048	62.66

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM18750v1 assembly for Streptococcus parasanguinis ATCC 903
NCBI: GCA_000187505

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	variable	54.42	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.94	no
125439	motility	BacteriaNetⓘ	no	88.68	no
125439	spore_formation	BacteriaNetⓘ	no	95.91	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus parasanguinis ATCC 903 ATCC 903
NCBI: GCA_000187505.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.52	no
125438	anaerobic	anaerobicⓘ	no	90.15	yes
125438	aerobic	aerobicⓘ	no	95.87	yes
125438	spore-forming	spore-formingⓘ	no	78.10	no
125438	thermophilic	thermophileⓘ	no	96.85	no
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Laser-assisted microbial culturomics.	Qu T, Koch L, Mukherjee R, Tu Y, Seidel AL, Puttmann LD, Winkel A, Yang I, Grischke J, Liu D, Wolkers WF, Kittler S, Chichkov B, Stiesch M, Szafranski SP.	Nat Commun	10.1038/s41467-025-66804-7	2025
Enzymology	Antibacterial ADP-ribosyl cyclase toxins inhibit bacterial growth by rapidly depleting NAD(P)^.	Colautti J, Kim Y, Whitney JC.	J Biol Chem	10.1016/j.jbc.2025.110491	2025
	Quantification of Human Oral and Fecal Streptococcus parasanguinis by Use of Quantitative Real-Time PCR Targeting the groEL Gene.	Chen Q, Wu G, Chen H, Li H, Li S, Zhang C, Pang X, Wang L, Zhao L, Shen J.	Front Microbiol	10.3389/fmicb.2019.02910	2019
Metabolism	Novel Probiotic Mechanisms of the Oral Bacterium Streptococcus sp. A12 as Explored with Functional Genomics.	Lee K, Walker AR, Chakraborty B, Kaspar JR, Nascimento MM, Burne RA.	Appl Environ Microbiol	10.1128/aem.01335-19	2019
	Characterization of a Signaling System in Streptococcus mitis That Mediates Interspecies Communication with Streptococcus pneumoniae.	Junges R, Sturod K, Salvadori G, Amdal HA, Chen T, Petersen FC.	Appl Environ Microbiol	10.1128/aem.02297-18	2019
	Methods for estimating the direct and indirect effect of 10 valent pneumococcal vaccine on nasopharyngeal carriage in children under 2 years in Matiari, Pakistan.	Nisar MI, Jehan F, Shahid S, Shakoor S, Kabir F, Hotwani A, Muneer S, Ahmed S, Whitney C, Ali A, Zaidi AK, Omer SB, Iqbal N.	MethodsX	10.1016/j.mex.2021.101357	2021
Pathogenicity	THCz: Small molecules with antimicrobial activity that block cell wall lipid intermediates.	Reithuber E, Wixe T, Ludwig KC, Muller A, Uvell H, Grein F, Lindgren AEG, Muschiol S, Nannapaneni P, Eriksson A, Schneider T, Normark S, Henriques-Normark B, Almqvist F, Mellroth P.	Proc Natl Acad Sci U S A	10.1073/pnas.2108244118	2021
Enzymology	Novel real-time PCR assays using TaqMan minor groove binder probes for identification of fecal carriage of Streptococcus bovis/Streptococcus equinus complex from rectal swab specimens.	Lopes PG, Cantarelli VV, Agnes G, Costabeber AM, d'Azevedo PA.	J Clin Microbiol	10.1128/jcm.03253-13	2014
Genetics	Characterization of saliva microbiota's functional feature based on metagenomic sequencing.	Yang F, Ning K, Zeng X, Zhou Q, Su X, Yuan X.	Springerplus	10.1186/s40064-016-3728-6	2016
	Minocycline resistance in an oral Streptococcus infantis isolate is encoded by tet(S) on a novel small, low copy number plasmid.	Ciric L, Brouwer MS, Mullany P, Roberts AP.	FEMS Microbiol Lett	10.1111/1574-6968.12410	2014
Metabolism	Ion interactions in the aggregation of Streptococcus mitis.	Abaas S, Holme T.	Acta Pathol Microbiol Immunol Scand B	10.1111/j.1699-0463.1983.tb00052.x	1983
	Induction of aggregation in Streptococcus mitis by certain ions.	Abaas S.	Acta Pathol Microbiol Immunol Scand B	10.1111/j.1699-0463.1984.tb02830.x	1984
	TetAB46, a predicted heterodimeric ABC transporter conferring tetracycline resistance in Streptococcus australis isolated from the oral cavity.	Warburton PJ, Ciric L, Lerner A, Seville LA, Roberts AP, Mullany P, Allan E.	J Antimicrob Chemother	10.1093/jac/dks351	2013
	Binding of lectins to Streptococcus mitis cells. Studies of the specificity of ligand mediated aggregation.	Abaas S.	Acta Pathol Microbiol Immunol Scand B	10.1111/j.1699-0463.1985.tb02845.x	1985
Metabolism	Development of aggregating ability in cells of Streptococcus mitis ATCC 903 grown under glucose-limiting conditions in continuous culture.	Abaas S, Holme T.	Scand J Dent Res	10.1111/j.1600-0722.1982.tb01532.x	1982
	Spontaneous aggregation of streptococcus mitis ATCC 903.	Abaas S, Holme T.	Scand J Dent Res	10.1111/j.1600-0722.1981.tb01695.x	1981
Enzymology	Phosphoenolpyruvate-dependent glucose phosphotransferase activity in Streptococcus mitis ATCC 903.	Roberts KR, Linder L.	Scand J Dent Res	10.1111/j.1600-0722.1980.tb01233.x	1980
Metabolism	Evidence that glucose and sucrose uptake in oral streptococcal bacteria involves independent phosphotransferase and proton-motive force-mediated mechanisms.	Keevil CW, Williamson MI, Marsh PD, Ellwood DC.	Arch Oral Biol	10.1016/0003-9969(84)90085-2	1984
Metabolism	The group I strain of Streptococcus mutans, UA140, produces both the lantibiotic mutacin I and a nonlantibiotic bacteriocin, mutacin IV.	Qi F, Chen P, Caufield PW.	Appl Environ Microbiol	10.1128/aem.67.1.15-21.2001	2001
Metabolism	Peptide utilization by oral streptococci.	Andersson C, Sund ML, Linder L.	Infect Immun	10.1128/iai.43.2.555-560.1984	1984

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 )
#47257	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 21026
#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) .
#68370	Automatically annotated from API 20STR .
#68380	Automatically annotated from API rID32A .
#68381	Automatically annotated from API rID32STR .
#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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Streptococcus parasanguinis (CCUG 21026, ATCC 903)

Name and taxonomic classification

Morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20STR

API rID32A

API rID32STR

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000187505

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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