Streptococcus lactarius (CCUG 66490, DSM 23027, CECT 7613)

Name: Streptococcus lactarius (CCUG 66490, DSM 23027, CECT 7613)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14848

Type strain

Strain Designation MV1

Culture col. no. CCUG 66490 DSM 23027 CECT 7613 MV1

NCBI tax ID(s) 684066

Special Collections DSMZ CCUG Literature strains

History DSMZ <- J. M. Rodríguez, Univ. Complutense Madrid, Spain; MV1 <- A. Maldonado

Links

Streptococcus lactarius MV1 is a microaerophile, Gram-positive, coccus-shaped bacterium that was isolated from breast milk .

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

Name and taxonomic classification

SI-ID 377310

NCTC 14695,CECT 7613,DSM 23027,CCUG 66490

@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 lactarius

Full scientific name Streptococcus lactarius Martín et al. 2011

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
29811	positive	coccus-shaped
125439			91.822
125438			92.5

Colony morphology

16657

Incubation period1-2 days

Pigmentation

29811

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16657	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)
16657	positive	growth	37
63337	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
16657	microaerophile
29811	facultative aerobe
63337	anaerobe
63337	microaerophile
125439	facultative anaerobe	91.626

Spore formation

@ref	Spore formation	Confidence
29811
125439		97.965

Observation

29811

Observationaggregates in chains

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
29811	4853 ChEBI	esculin	+	hydrolysis
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
29811	17716 ChEBI	lactose	+	carbon source
68381	17716 ChEBI	lactose	+	builds acid from	from API rID32STR
29811	17306 ChEBI	maltose	+	carbon source
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
29811	17992 ChEBI	sucrose	+	carbon source
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
29811	alkaline phosphatase	+	3.1.3.1
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-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 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
16657	-	+	+	-	-	+	-	-	-	+	-	-	+	-	-	-	-	+	+	-	+	+	-	-	-	+	-	-	+	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Other	#Thoracic segment
#Host Body Product	#Fluids	#Milk

Isolation

@ref	Sample type	Host species	Sampling date	Country	Country ISO 3 Code	Continent
16657	breast milk (healthy woman)	Homo sapiens		Spain	ESP	Europe
63337	Breast milk,healthy woman	Homo sapiens	2007	Spain	ESP	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16657	1	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	ASM1812772v1 assembly for Streptococcus lactarius CCUG 66490	complete	GCA_018127725	684066.8		684066	98.27
66792	ASM1664226v1 assembly for Streptococcus lactarius CCUG 66490	scaffold	GCA_016642265	684066.7	8112262180	684066	60.23
124043	ASM4264916v1 assembly for Streptococcus lactarius CCUG 66490	contig	GCA_042649165			684066	38.95

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16657	Streptococcus lactarius strain MV1 16S ribosomal RNA gene, partial sequence	GU045364	1452		684066

GC content

@ref	GC-content (mol%)	Method
16657	41.2	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: ASM1812772v1 assembly for Streptococcus lactarius CCUG 66490
BV-BRC: 684066.8

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	91.63	no
125439	motility	BacteriaNetⓘ	no	91.82	no
125439	gram_stain	BacteriaNetⓘ	positive	76.20	no
125439	spore_formation	BacteriaNetⓘ	no	97.97	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus lactarius CCUG 66490
NCBI: GCA_018127725.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.92	no
125438	anaerobic	anaerobicⓘ	no	83.46	no
125438	aerobic	aerobicⓘ	no	95.69	yes
125438	spore-forming	spore-formingⓘ	no	83.70	yes
125438	thermophilic	thermophileⓘ	no	97.28	yes
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Streptococcus lactarius sp. nov., isolated from breast milk of healthy women.	Martin V, Manes-Lazaro R, Rodriguez JM, Maldonado-Barragan A	Int J Syst Evol Microbiol	10.1099/ijs.0.021642-0	2010

References

#16657	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23027
#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 )
#26188	IJSEM 1048 2011 ( DOI 10.1099/ijs.0.021642-0 , PubMed 20511454 )
#29811	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 #26188
#63337	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 66490
#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) .
#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 )

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Streptococcus lactarius (CCUG 66490, DSM 23027, CECT 7613)

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 rID32STR

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_018127725

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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