Streptococcus sanguinis (CCUG 59333)

Name: Streptococcus sanguinis (CCUG 59333)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 155795

Type strain

Culture col. no. CCUG 59333

NCBI tax ID(s) 1305

Special Collections CCUG

Links

Streptococcus sanguinis CCUG 59333 is a microaerophile, mesophilic prokaryote that was isolated from Human blood,endocarditis.

microaerophile mesophilic genome sequence

Name and taxonomic classification

SI-ID 408568

CCUG 59333

@ref 20215

Last LPSN update 2025-12-16 10:07:24

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus sanguinis

Full scientific name Streptococcus sanguinis corrig. White and Niven 1946 (Approved Lists 1980)

Synonyms (1)

Streptococcus sanguis

BacDive ID	Other strains from **Streptococcus sanguinis** (69)	Type strain
14767	S. sanguinis DSM 20567, ATCC 10556, JCM 5708, CCUG 17826, ... (type strain)
14766	S. sanguinis 21384, DSM 20068
136469	S. sanguinis BM90, CIP 106127
142306	S. sanguinis CCUG 11573
143855	S. sanguinis CCUG 21592
144541	S. sanguinis CCUG 25604, LMG 14656
144542	S. sanguinis CCUG 25605, LMG 14657
144543	S. sanguinis CCUG 25606, LMG 14637
144571	S. sanguinis CCUG 25730
145143	S. sanguinis CCUG 27744, LMG 14638
145144	S. sanguinis CCUG 27745, LMG 14639
145402	S. sanguinis CCUG 28370
145703	S. sanguinis CCUG 29320
146311	S. sanguinis CCUG 30865
146433	S. sanguinis CCUG 31127
146543	S. sanguinis CCUG 31404, LMG 16319, LMG 14513
146650	S. sanguinis CCUG 31725
146778	S. sanguinis CCUG 32107
147213	S. sanguinis CCUG 33067
147271	S. sanguinis CCUG 33240
147474	S. sanguinis CCUG 33647
147996	S. sanguinis CCUG 34641
148158	S. sanguinis CCUG 34916
148166	S. sanguinis CCUG 34954
148272	S. sanguinis CCUG 35130 C
148299	S. sanguinis CCUG 35186
148639	S. sanguinis CCUG 35755
148647	S. sanguinis CCUG 35763
148648	S. sanguinis CCUG 35764
148649	S. sanguinis CCUG 35765
148650	S. sanguinis CCUG 35766
148651	S. sanguinis CCUG 35767
148652	S. sanguinis CCUG 35769, NCTC 10904
148653	S. sanguinis CCUG 35771
148654	S. sanguinis CCUG 35772
148655	S. sanguinis CCUG 35773
148656	S. sanguinis CCUG 35774
148657	S. sanguinis CCUG 35775
148760	S. sanguinis CCUG 35910
148945	S. sanguinis CCUG 36621
148988	S. sanguinis CCUG 36685
149007	S. sanguinis CCUG 36715
149941	S. sanguinis CCUG 38725
150245	S. sanguinis CCUG 39374
150568	S. sanguinis CCUG 41626
151027	S. sanguinis CCUG 43078
151338	S. sanguinis CCUG 43793
153672	S. sanguinis CCUG 50604
153725	S. sanguinis CCUG 50749
154075	S. sanguinis CCUG 52278
154412	S. sanguinis CCUG 53464
154619	S. sanguinis CCUG 54608
154743	S. sanguinis CCUG 55078
155025	S. sanguinis CCUG 56135
155061	S. sanguinis CCUG 56346
155290	S. sanguinis CCUG 57221
155782	S. sanguinis CCUG 59319
155783	S. sanguinis CCUG 59320
155784	S. sanguinis CCUG 59322
155785	S. sanguinis CCUG 59323
155786	S. sanguinis CCUG 59324
155787	S. sanguinis CCUG 59325
155788	S. sanguinis CCUG 59326
155789	S. sanguinis CCUG 59327
155790	S. sanguinis CCUG 59328
155791	S. sanguinis CCUG 59329
155792	S. sanguinis CCUG 59330
155793	S. sanguinis CCUG 59331
155794	S. sanguinis CCUG 59332

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90.146

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
61916	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
61916	microaerophile
125439	microaerophile	95.1

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
68381	18333 ChEBI	D-arabitol	-	builds acid from	from API rID32STR
68381	16899 ChEBI	D-mannitol	-	builds acid from	from API rID32STR
68381	16988 ChEBI	D-ribose	-	builds acid from	from API rID32STR
68381	16443 ChEBI	D-tagatose	-	builds acid from	from API rID32STR
68381	28087 ChEBI	glycogen	-	builds acid from	from API rID32STR
68381	606565 ChEBI	hippurate	-	hydrolysis	from API rID32STR
68381	30849 ChEBI	L-arabinose	-	builds acid from	from API rID32STR
68381	17716 ChEBI	lactose	+	builds acid from	from API rID32STR
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
68381	27941 ChEBI	pullulan	+	builds acid from	from API rID32STR
68381	16634 ChEBI	raffinose	-	builds acid from	from API rID32STR
68381	30911 ChEBI	sorbitol	-	builds acid from	from API rID32STR
68381	17992 ChEBI	sucrose	+	builds acid from	from API rID32STR
68381	27082 ChEBI	trehalose	+	builds acid from	from API rID32STR
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68381	15688 ChEBI	acetoin		from API rID32STR

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68381	15688 ChEBI	acetoin	-	from API rID32STR

Enzymes

@ref	Value	Activity	Ec
68381	Alanyl-Phenylalanyl-Proline arylamidase	+		from API rID32STR
68381	alkaline phosphatase	-	3.1.3.1	from API rID32STR
68381	alpha-galactosidase	-	3.2.1.22	from API rID32STR
68381	arginine dihydrolase	-	3.5.3.6	from API rID32STR
68381	beta-galactosidase	-	3.2.1.23	from API rID32STR
68381	beta-glucosidase	+	3.2.1.21	from API rID32STR
68381	beta-glucuronidase	-	3.2.1.31	from API rID32STR
68381	beta-mannosidase	-	3.2.1.25	from API rID32STR
68381	glycyl tryptophan arylamidase	+		from API rID32STR
68381	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32STR
68381	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32STR
68381	urease	-	3.5.1.5	from API rID32STR

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
61916	-	+	-	-	-	-	-	-	-	+	+	-	+	-	-	-	-	+	-	-	-	+	-	-	+	+	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Blood
#Infection	#Inflammation	-
#Infection	#Patient	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
61916	Human blood,endocarditis	1992	Copenhagen,SSI	Denmark	DNK	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM20447v1 assembly for Streptococcus sanguinis SK1087	scaffold	GCA_000204475	888824.3	2537561981	888824	73.25

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus sanguinis SK1087 CCUG 59333
NCBI: GCA_000204475

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	83.30	no
125439	motility	BacteriaNetⓘ	no	70.00	no
125439	gram_stain	BacteriaNetⓘ	positive	82.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	95.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus sanguinis SK1087
PATRIC: 888824.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	84.21	no
125438	anaerobic	anaerobicⓘ	no	89.86	yes
125438	aerobic	aerobicⓘ	no	96.99	yes
125438	spore-forming	spore-formingⓘ	no	79.59	no
125438	thermophilic	thermophileⓘ	no	95.38	no
125438	flagellated	motile2+ⓘ	no	90.15	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Genomic, Phenotypic, and Virulence Analysis of Streptococcus sanguinis Oral and Infective-Endocarditis Isolates.	Baker SP, Nulton TJ, Kitten T.	Infect Immun	10.1128/iai.00703-18	2019

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 )
#61916	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 59333
#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) .
#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 sanguinis (CCUG 59333)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32STR

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000204475

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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