Streptococcus panodentis (DSM 29921, JCM 30579, CCUG 70867)

Name: Streptococcus panodentis (DSM 29921, JCM 30579, CCUG 70867)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140137

Type strain

Culture col. no. DSM 29921 JCM 30579 CCUG 70867 TKU 50

NCBI tax ID(s) 1581472

Special Collections DSMZ CCUG JCM

History <- M. Okamoto, Tsurumi Univ., Yokohama, Japan; TKU50 <- M. Okamoto and S. Imai M. Okamoto; Tsurumi Univ., Japan; TKU50.

Links

Streptococcus panodentis DSM 29921 is a microaerophile, mesophilic prokaryote that was isolated from oral cavity of a chimpanzee in good oral health ).

microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 403797

JCM 30579,DSM 29921,CCUG 70867T

@ref 20215

Last LPSN update 2026-02-09 11:33:32

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus panodentis

Full scientific name Streptococcus panodentis Okamoto et al. 2016

BacDive ID	Other strains from **Streptococcus panodentis** (2)	Type strain
163827	S. panodentis JCM 30577
163828	S. panodentis JCM 30578

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90.646

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
42744	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
42744	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
42744	positive	growth	37	mesophilic
63759	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63759	microaerophile
125439	microaerophile	90.4

Spore formation

@ref	Spore formation	Confidence
125439		90.9

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-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
42744	+	+	+	-	+	-	-	+	-	+	+	-	+	-	-	-	+	+	+/-	+	+	+	-	-	-	+	-	-	+	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Primates
#Host Body-Site	#Oral cavity and airways	-

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
42744	oral cavity of a chimpanzee in good oral health (Pan troglodytes))	Pan troglodytes	Kyoto University, Primate Research Institute	Japan	JPN	Asia
63759	Chimpanzee,oral cavity
67770	Oral cavities of chimpanzee (Pan troglodytes)	Pan troglodytes

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1788400v1 assembly for Streptococcus panodentis CCUG 70867	scaffold	GCA_017884005	1581472.3	8055888610	1581472	65.73

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
42744	Streptococcus panodentis gene for 16S ribosomal RNA, partial sequence, strain: TKU50	LC012889	1471		1581472

GC content

@ref	GC-content (mol%)	Method
42744	46.7	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus panodentis CCUG 70867
NCBI: GCA_017884005

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.90	no
125439	motility	BacteriaNetⓘ	no	73.80	no
125439	gram_stain	BacteriaNetⓘ	positive	78.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	90.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus panodentis CCUG 70867
NCBI: GCA_017884005.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.63	no
125438	anaerobic	anaerobicⓘ	no	89.09	yes
125438	aerobic	aerobicⓘ	no	94.33	yes
125438	spore-forming	spore-formingⓘ	no	77.11	no
125438	thermophilic	thermophileⓘ	no	94.38	yes
125438	flagellated	motile2+ⓘ	no	90.65	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Streptococcus panodentis sp. nov. from the oral cavities of chimpanzees.	Okamoto M, Imai S, Miyanohara M, Saito W, Momoi Y, Nomura Y, Ikawa T, Ogawa T, Miyabe-Nishiwaki T, Kaneko A, Watanabe A, Watanabe S, Hayashi M, Tomonaga M, Hanada N	Microbiol Immunol	10.1111/1348-0421.12290	2015

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 )
#42744	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29921
#63759	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 70867
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 panodentis (DSM 29921, JCM 30579, CCUG 70867)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

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_017884005

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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