Streptococcus pseudopneumoniae (CCUG 63793)

Name: Streptococcus pseudopneumoniae (CCUG 63793)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 156640

Type strain

Culture col. no. CCUG 63793

NCBI tax ID(s) 257758

Special Collections CCUG

Links

Streptococcus pseudopneumoniae CCUG 63793 is a microaerophile, mesophilic prokaryote that was isolated from Human sputum,82-yr-old woman.

microaerophile mesophilic genome sequence

Name and taxonomic classification

SI-ID 410770

CCUG 63793

@ref 20215

Last LPSN update 2025-12-16 10:07:36

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
153760	S. pseudopneumoniae CCUG 50870
153761	S. pseudopneumoniae CCUG 50871
156394	S. pseudopneumoniae CCUG 61551
156548	S. pseudopneumoniae CCUG 62647
156629	S. pseudopneumoniae CCUG 63747
156676	S. pseudopneumoniae CCUG 64062
157219	S. pseudopneumoniae CCUG 70658

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
63027	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
63027	microaerophile
125439	microaerophile

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	#Female
#Host Body Product	#Fluids	#Sputum
#Infection	#Patient	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
63027	Human sputum,82-yr-old woman	2012-12-01	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1171483v1 assembly for Streptococcus pseudopneumoniae CCUG 63793	contig	GCA_011714835	257758.663	257758	61.33

Genome browser: GCA_011714835

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus pseudopneumoniae CCUG 63793
NCBI: GCA_011714835

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	83.60	no
125439	motility	BacteriaNetⓘ	no	81.70	no
125439	gram_stain	BacteriaNetⓘ	positive	79.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	97.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus pseudopneumoniae strain CCUG 63793
PATRIC: 257758.663

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.00	no
125438	anaerobic	anaerobicⓘ	no	60.79	yes
125438	spore-forming	spore-formingⓘ	no	79.59	no
125438	aerobic	aerobicⓘ	no	97.70	yes
125438	thermophilic	thermophileⓘ	no	95.25	yes
125438	flagellated	motile2+ⓘ	no	89.50	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

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 )
#63027	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 63793
#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) .
#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 pseudopneumoniae (CCUG 63793)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_011714835

Genome-based predictions

Predictions

Literature

Literature

References

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