Streptococcus plurextorum (CCUG 55064, DSM 22810, CCUG 52972)

Name: Streptococcus plurextorum (CCUG 55064, DSM 22810, CCUG 52972)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14843

Type strain

Strain Designation 1956-02

Culture col. no. CCUG 55064 DSM 22810 CCUG 52972 CECT 7308 1956-02

NCBI tax ID(s) 1123314 456876

Special Collections DSMZ CCUG Literature strains

History DSMZ <- CCUG <- J. F. Fernández-Garayzábal; 1956-02

Links

Streptococcus plurextorum 1956-02 is a microaerophile, Gram-positive, coccus-shaped animal pathogen that was isolated from lungs of a pig with pneumonia.

Gram-positive coccus-shaped microaerophile animal pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 361166

NCTC 14688,CCUG 52972,CECT 7308,DSM 22810

@ref 20215

Last LPSN update 2026-05-29 08:28:23

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus plurextorum

Full scientific name Streptococcus plurextorum Vela et al. 2009

BacDive ID	Other strains from **Streptococcus plurextorum** (1)	Type strain
154287	S. plurextorum CCUG 52971

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
32528	positive	coccus-shaped
125439			92.71
125438			92
125438	positive		90.191

Colony morphology

16529

Incubation period2-3 days

Pigmentation

32528

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16529	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
16529	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

Culture temp

@ref	Growth	Type	Temperature (°C)
16529	positive	growth	37
32528	positive	optimum	37
59758	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
16529	microaerophile
32528	facultative anaerobe
59758	microaerophile
125439	facultative anaerobe	96.174

Spore formation

@ref	Spore formation	Confidence
125439		99.45

Observation

32528

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32528	58143 ChEBI	5-dehydro-D-gluconate	+	carbon source
68381	40585 ChEBI	alpha-cyclodextrin	-	builds acid from	from API rID32STR
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
68371	18305 ChEBI	arbutin	-	builds acid from	from API 50CH acid
68381	29016 ChEBI	arginine	-	hydrolysis	from API rID32STR
68371	17057 ChEBI	cellobiose	-	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68381	18333 ChEBI	D-arabitol	-	builds acid from	from API rID32STR
68371	15824 ChEBI	D-fructose	-	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	-	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	-	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	-	builds acid from	from API 50CH acid
68381	16899 ChEBI	D-mannitol	-	builds acid from	from API rID32STR
68371	16024 ChEBI	D-mannose	-	builds acid from	from API 50CH acid
68381	16988 ChEBI	D-ribose	-	builds acid from	from API rID32STR
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68381	16443 ChEBI	D-tagatose	-	builds acid from	from API rID32STR
68371	16443 ChEBI	D-tagatose	+	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	-	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
32528	28757 ChEBI	fructose	+	carbon source
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
32528	28260 ChEBI	galactose	+	carbon source
68371	28066 ChEBI	gentiobiose	-	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
32528	17234 ChEBI	glucose	+	carbon source
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68381	28087 ChEBI	glycogen	-	builds acid from	from API rID32STR
68371	28087 ChEBI	glycogen	-	builds acid from	from API 50CH acid
68381	606565 ChEBI	hippurate	-	hydrolysis	from API rID32STR
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	-	builds acid from	from API 50CH acid
68381	30849 ChEBI	L-arabinose	-	builds acid from	from API rID32STR
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
32528	17716 ChEBI	lactose	+	carbon source
68381	17716 ChEBI	lactose	-	builds acid from	from API rID32STR
68371	17716 ChEBI	lactose	-	builds acid from	from API 50CH acid
32528	17306 ChEBI	maltose	+	carbon source
68381	17306 ChEBI	maltose	+	builds acid from	from API rID32STR
68371	17306 ChEBI	maltose	-	builds acid from	from API 50CH acid
68381	6731 ChEBI	melezitose	-	builds acid from	from API rID32STR
68371	6731 ChEBI	melezitose	-	builds acid from	from API 50CH acid
68381	28053 ChEBI	melibiose	-	builds acid from	from API rID32STR
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68381	320055 ChEBI	methyl beta-D-glucopyranoside	-	builds acid from	from API rID32STR
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
68371	0 ChEBI	Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371	0 ChEBI	Potassium 5-ketogluconate	+	builds acid from	from API 50CH acid
68381	27941 ChEBI	pullulan	-	builds acid from	from API rID32STR
32528	16634 ChEBI	raffinose	+	carbon source
68381	16634 ChEBI	raffinose	-	builds acid from	from API rID32STR
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
32528	17814 ChEBI	salicin	+	carbon source
68371	17814 ChEBI	salicin	-	builds acid from	from API 50CH acid
68381	30911 ChEBI	sorbitol	-	builds acid from	from API rID32STR
68371	28017 ChEBI	starch	-	builds acid from	from API 50CH acid
32528	17992 ChEBI	sucrose	+	carbon source
68381	17992 ChEBI	sucrose	+	builds acid from	from API rID32STR
68371	17992 ChEBI	sucrose	-	builds acid from	from API 50CH acid
32528	27082 ChEBI	trehalose	+	carbon source
68381	27082 ChEBI	trehalose	+	builds acid from	from API rID32STR
68371	27082 ChEBI	trehalose	-	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid
32528	18222 ChEBI	xylose	+	carbon source

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
32528	acid phosphatase	+	3.1.3.2
68381	Alanyl-Phenylalanyl-Proline arylamidase	+		from API rID32STR
68381	alkaline phosphatase	-	3.1.3.1	from API rID32STR
32528	alpha-galactosidase	+	3.2.1.22
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 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
16529	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	+

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
16529	-	-	+	+	+	-	-	-	-	-	+	-	+	-	-	-	-	+	+	-	-	-	-	-	-	+	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Inflammation	-
#Host	#Mammals	#Suidae (Pig,Swine)
#Host Body-Site	#Oral cavity and airways	#Lung

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
16529	lungs of a pig with pneumonia			Spain	ESP	Europe
59758	Pig lung,animal with lesions from pneumonia	2002	Madrid	Spain	ESP	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
16529		2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM42374v1 assembly for Streptococcus plurextorum DSM 22810	scaffold	GCA_000423745	1123314.3	2522572191	1123314	69.45

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16529	Streptococcus plurextorum partial 16S rRNA gene, type strain 1956-02T	AM774228	1451		456876

GC content

16529

GC-content (mol%)42.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM42374v1 assembly for Streptococcus plurextorum DSM 22810
NCBI: GCA_000423745

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	positive	87.25	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	96.17	no
125439	motility	BacteriaNetⓘ	no	92.71	no
125439	spore_formation	BacteriaNetⓘ	no	99.45	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus plurextorum DSM 22810 DSM 22810
NCBI: GCA_000423745.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.19	no
125438	anaerobic	anaerobicⓘ	no	90.08	yes
125438	aerobic	aerobicⓘ	no	97.37	yes
125438	spore-forming	spore-formingⓘ	no	83.82	no
125438	thermophilic	thermophileⓘ	no	95.55	yes
125438	flagellated	motile2+ⓘ	no	92.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Generative Deep Learning Pipeline Yields Potent Gram-Negative Antibiotics.	Kollen MF, Schuh MG, Kretschmer R, Hesse J, Schum D, Chen J, Bohne AI, Halter DP, Sieber SA.	JACS Au	10.1021/jacsau.5c00602	2025
	Salmonella Prophages, Their Propagation, Host Specificity and Antimicrobial Resistance Gene Transduction.	Trofeit L, Sattler E, Kunz J, Hilbert F.	Antibiotics (Basel)	10.3390/antibiotics12030595	2023
	Bacillamide D produced by Bacillus cereus from the mouse intestinal bacterial collection (miBC) is a potent cytotoxin in vitro.	Hohmann M, Brunner V, Johannes W, Schum D, Carroll LM, Liu T, Sasaki D, Bosch J, Clavel T, Sieber SA, Zeller G, Tschurtschenthaler M, Janssen KP, Gulder TAM.	Commun Biol	10.1038/s42003-024-06208-3	2024
	Biodegradation of cefalexin by two bacteria strains from sewage sludge.	Tian J, Chen C, Lartey-Young G, Ma L.	R Soc Open Sci	10.1098/rsos.220442	2023
Genetics	MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets.	Gupta A, Malwe AS, Srivastava GN, Thoudam P, Hibare K, Sharma VK.	BMC Bioinformatics	10.1186/s12859-022-05061-7	2022
	Chemical Profiling, Bioactive Properties, and Anticancer and Antimicrobial Potential of Juglans regia L. Leaves.	Zurek N, Pycia K, Pawlowska A, Potocki L, Kapusta IT.	Molecules	10.3390/molecules28041989	2023
Genetics	Whole genomes of deep-sea sponge-associated bacteria exhibit high novel natural product potential.	Hesketh-Best PJ, January GG, Koch MJ, Warburton PJ, Howell KL, Upton M.	FEMS Microbes	10.1093/femsmc/xtad005	2023
	Reliable and Sensitive Nested PCR for the Detection of Chlamydia in Sputum.	Smolejova M, Cihova I, Sulo P.	Microorganisms	10.3390/microorganisms9050935	2021
	Bioactivity and Metabolome Mining of Deep-Sea Sediment-Derived Microorganisms Reveal New Hybrid PKS-NRPS Macrolactone from Aspergillus versicolor PS108-62.	Magot F, Van Soen G, Buedenbender L, Li F, Soltwedel T, Grauso L, Mangoni A, Blumel M, Tasdemir D.	Mar Drugs	10.3390/md21020095	2023
Enzymology	Isolation and Characterization of Levoglucosan-Metabolizing Bacteria.	Arya AS, Hang MTH, Eiteman MA.	Appl Environ Microbiol	10.1128/aem.01868-21	2022
	Gut and Gill-Associated Microbiota of the Flatfish European Plaice (Pleuronectes platessa): Diversity, Metabolome and Bioactivity against Human and Aquaculture Pathogens.	Ghotbi M, Kelting O, Blumel M, Tasdemir D.	Mar Drugs	10.3390/md20090573	2022
	Antibacterial, Antioxidant, and Antiproliferative Activities of Corymbia citriodora and the Essential Oils of Eight Eucalyptus Species.	Miguel MG, Gago C, Antunes MD, Lagoas S, Faleiro ML, Megias C, Cortes-Giraldo I, Vioque J, Figueiredo AC.	Medicines (Basel)	10.3390/medicines5030061	2018
	Nybomycin inhibits both types of E. coli DNA gyrase - fluoroquinolone-sensitive and fluoroquinolone-resistant.	Shiriaev DI, Sofronova AA, Berdnikovich EA, Lukianov DA, Komarova ES, Marina VI, Zakalyukina YV, Biryukov MV, Maviza TP, Ivanenkov YA, Sergiev PV, Osterman IA, Dontsova OA.	Antimicrob Agents Chemother	10.1128/aac.00777-20	2023
	Broad and Efficient Control of Klebsiella Pathogens by Peptidoglycan-Degrading and Pore-Forming Bacteriocins Klebicins.	Denkovskiene E, Paskevicius S, Misiunas A, Stockunaite B, Starkevic U, Vitkauskiene A, Hahn-Lobmann S, Schulz S, Giritch A, Gleba Y, Razanskiene A.	Sci Rep	10.1038/s41598-019-51969-1	2019
Genetics	Comparative Genomic Analysis of a Clinical Isolate of Klebsiella quasipneumoniae subsp. similipneumoniae, a KPC-2 and OKP-B-6 Beta-Lactamases Producer Harboring Two Drug-Resistance Plasmids from Southeast Brazil.	Nicolas MF, Ramos PIP, Marques de Carvalho F, Camargo DRA, de Fatima Morais Alves C, Loss de Morais G, Almeida LGP, Souza RC, Ciapina LP, Vicente ACP, Coimbra RS, Ribeiro de Vasconcelos AT.	Front Microbiol	10.3389/fmicb.2018.00220	2018
Phylogeny	Streptococcus porci sp. nov., isolated from swine sources.	Vela AI, Perez M, Zamora L, Palacios L, Dominguez L, Fernandez-Garayzabal JF	Int J Syst Evol Microbiol	10.1099/ijs.0.011171-0	2009
Phylogeny	Streptococcus plurextorum sp. nov., isolated from pigs.	Vela AI, Casamayor A, Sanchez Del Rey V, Dominguez L, Fernandez-Garayzabal JF	Int J Syst Evol Microbiol	10.1099/ijs.0.65636-0	2009

References

#16529	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22810
#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 )
#28746	IJSEM 504 2009 ( DOI 10.1099/ijs.0.65636-0 , PubMed 19244430 )
#32528	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28746
#59758	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 52972
#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) .
#68371	Automatically annotated from API 50CH acid .
#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 plurextorum (CCUG 55064, DSM 22810, CCUG 52972)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 50CHac

API rID32STR

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000423745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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