Streptococcus oralis (CCUG 62648)

Name: Streptococcus oralis (CCUG 62648)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 156549

Type strain

Culture col. no. CCUG 62648

NCBI tax ID(s) 1303

Special Collections CCUG

Links

Streptococcus oralis CCUG 62648 is a microaerophile bacterium that was isolated from Human dental plaque.

microaerophile genome sequence Bacteria

Name and taxonomic classification

SI-ID 410605

CCUG 62648

@ref 20215

Last LPSN update 2026-02-09 11:37:52

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus oralis

Full scientific name Streptococcus oralis Bridge and Sneath 1982

BacDive ID	Other strains from **Streptococcus oralis** (60)	Type strain
14737	S. oralis 25826, DSM 20066
14739	S. oralis 43364, DSM 20395, JCM 5704
136742	S. oralis SK2, CIP 103216, ATCC 10557, NCDO 2061, NCTC ...
136879	S. oralis OR4, CIP 104985
137291	S. oralis OR8, CIP 105159
138179	S. oralis OR7, CIP 105158
141871	S. oralis CCUG 7976, NCTC 10232
143278	S. oralis CCUG 18209
143846	S. oralis CCUG 21513
144224	S. oralis CCUG 23715
144360	S. oralis CCUG 24740 A
144544	S. oralis CCUG 25611, LMG 14553
145108	S. oralis CCUG 27671
145109	S. oralis CCUG 27673
145110	S. oralis CCUG 27674
145111	S. oralis CCUG 27676
145112	S. oralis CCUG 27679
145113	S. oralis CCUG 27680, LMG 14534
145114	S. oralis CCUG 27681, NPP 1, LMG 14535
145115	S. oralis CCUG 27682
146544	S. oralis CCUG 31405
146801	S. oralis CCUG 32136
147164	S. oralis CCUG 32975
147456	S. oralis CCUG 33607
147495	S. oralis CCUG 33699
147896	S. oralis CCUG 34450
148539	S. oralis CCUG 35614
148637	S. oralis CCUG 35753
148638	S. oralis CCUG 35754
148712	S. oralis CCUG 35840
148733	S. oralis CCUG 35873
150585	S. oralis CCUG 41672 A
151088	S. oralis CCUG 43242
151857	S. oralis CCUG 45058
152000	S. oralis CCUG 45494 B
152644	S. oralis CCUG 47273
152841	S. oralis CCUG 47763
153773	S. oralis CCUG 50937
153774	S. oralis CCUG 50938
153839	S. oralis CCUG 51333
154025	S. oralis CCUG 52042
154097	S. oralis CCUG 52354
154706	S. oralis CCUG 54898
154753	S. oralis CCUG 55088
154754	S. oralis CCUG 55089
154755	S. oralis CCUG 55090
154756	S. oralis CCUG 55091
154757	S. oralis CCUG 55092
154811	S. oralis CCUG 55311
154886	S. oralis CCUG 55540
155062	S. oralis CCUG 56349
155086	S. oralis CCUG 56428
155105	S. oralis CCUG 56479
155248	S. oralis CCUG 57066
155310	S. oralis CCUG 57285
155391	S. oralis CCUG 57592
155728	S. oralis CCUG 59154
156540	S. oralis CCUG 62639
156550	S. oralis CCUG 62649
156551	S. oralis CCUG 62650

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90

Colony morphology

62869

Incubation period1 day

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
62869	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
62869	microaerophile
125439	microaerophile	97.7

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Oral cavity and airways	#Plaque

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
62869	Human dental plaque	1988	Aarhus	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	ASM163939v1 assembly for Streptococcus oralis CCUG 62648	scaffold	GCA_001639395	1303.90	2744054847	1303	71.05

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus oralis CCUG 62648
NCBI: GCA_001639395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	58.10	no
125439	motility	BacteriaNetⓘ	no	70.40	no
125439	gram_stain	BacteriaNetⓘ	variable	75.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	97.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus oralis CCUG 62648
NCBI: GCA_001639395.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.51	no
125438	anaerobic	anaerobicⓘ	no	90.67	yes
125438	aerobic	aerobicⓘ	no	96.51	yes
125438	spore-forming	spore-formingⓘ	no	87.53	no
125438	thermophilic	thermophileⓘ	no	96.00	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

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 )
#62869	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 62648
#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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