Streptococcus pseudopneumoniae (CCUG 50870)

Name: Streptococcus pseudopneumoniae (CCUG 50870)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 153760

Type strain

Culture col. no. CCUG 50870

NCBI tax ID(s) 257758

Special Collections CCUG

Links

Streptococcus pseudopneumoniae CCUG 50870 is a microaerophile, mesophilic prokaryote that was isolated from Human respiratory tract ?.

microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 214839

CCUG 50870

@ref 20215

Last LPSN update 2025-12-16 10:06:54

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus pseudopneumoniae

Full scientific name Streptococcus pseudopneumoniae Arbique et al. 2005

BacDive ID	Other strains from **Streptococcus pseudopneumoniae** (14)	Type strain
14831	S. pseudopneumoniae O 108, 0108, DSM 18670, ATCC BAA-960, CCUG ... (type strain)
152689	S. pseudopneumoniae CCUG 47366
153092	S. pseudopneumoniae CCUG 48465, ATCC BAA-891
153756	S. pseudopneumoniae CCUG 50866
153757	S. pseudopneumoniae CCUG 50867
153758	S. pseudopneumoniae CCUG 50868
153759	S. pseudopneumoniae CCUG 50869
153761	S. pseudopneumoniae CCUG 50871
156394	S. pseudopneumoniae CCUG 61551
156548	S. pseudopneumoniae CCUG 62647
156629	S. pseudopneumoniae CCUG 63747
156640	S. pseudopneumoniae CCUG 63793
156676	S. pseudopneumoniae CCUG 64062
157219	S. pseudopneumoniae CCUG 70658

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
59032	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
59032	microaerophile
125439	microaerophile	97.5

Spore formation

@ref	Spore formation	Confidence
125439		92.9

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68381	40585 ChEBI	alpha-cyclodextrin	-	builds acid from	from API rID32STR
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
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
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
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
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
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
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68381	27941 ChEBI	pullulan	+	builds acid from	from API rID32STR
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
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
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68381	15688 ChEBI	acetoin		from API rID32STR
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
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
68381	alkaline phosphatase	+	3.1.3.1	from API rID32STR
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
68381	alpha-galactosidase	-	3.2.1.22	from API rID32STR
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
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
68381	beta-galactosidase	-	3.2.1.23	from API rID32STR
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
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
68381	beta-glucuronidase	-	3.2.1.31	from API rID32STR
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
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
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
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 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
59032	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	+	+	-	-	+	+	-	+	+	-	-	-	-

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
59032	-	-	-	-	-	+	-	-	-	-	-	-	+	-	-	-	-	+	-	-	-	-	-	-	+	+	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Human
#Host Body Product	#Oral cavity and Airways
#Infection	#Patient

Isolation

59032

Sample typeHuman respiratory tract ?

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1945685v1 assembly for Streptococcus pseudopneumoniae CCUG 50870	scaffold	GCA_019456855	257758.721	257758	55.83

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	Streptococcus pseudopneumoniae strain CCUG 50870 16S ribosomal RNA gene, partial sequence.	EU156788	1329		257758

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus pseudopneumoniae CCUG 50870
NCBI: GCA_019456855

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	92.90	no
125439	motility	BacteriaNetⓘ	no	89.50	no
125439	gram_stain	BacteriaNetⓘ	positive	88.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	97.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus pseudopneumoniae CCUG 50870
NCBI: GCA_019456855.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.00	no
125438	anaerobic	anaerobicⓘ	no	58.29	no
125438	aerobic	aerobicⓘ	no	97.96	yes
125438	spore-forming	spore-formingⓘ	no	79.09	no
125438	thermophilic	thermophileⓘ	no	94.75	yes
125438	flagellated	motile2+ⓘ	no	88.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	A Pangenome Approach for Discerning Species-Unique Gene Markers for Identifications of Streptococcus pneumoniae and Streptococcus pseudopneumoniae.	Gonzales-Siles L, Karlsson R, Schmidt P, Salva-Serra F, Jaen-Luchoro D, Skovbjerg S, Moore ERB, Gomila M.	Front Cell Infect Microbiol	10.3389/fcimb.2020.00222	2020
Enzymology	Incidence and pathogenic effect of Streptococcus pseudopneumoniae.	Harf-Monteil C, Granello C, Le Brun C, Monteil H, Riegel P.	J Clin Microbiol	10.1128/jcm.02643-05	2006

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 )
#59032	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50870
#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) .
#68380	Automatically annotated from API rID32A .
#68381	Automatically annotated from API rID32STR .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )

Rate our new design

Content

About us

Streptococcus pseudopneumoniae (CCUG 50870)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

API rID32STR

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_019456855

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media