Streptococcus alactolyticus (DSM 100950, BL-178-WT-3A)

Name: Streptococcus alactolyticus (DSM 100950, BL-178-WT-3A)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159075

Type strain

Strain Designation BL-178-WT-3A

Culture col. no. DSM 100950 BL-178-WT-3A

NCBI tax ID(s) 29389

Special Collections DSMZ Pig DZIF

Links

Streptococcus alactolyticus BL-178-WT-3A is a mesophilic prokaryote that was isolated from feces; pig, 8 weeks old, wild type.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 400053

DSM 100950

@ref 20215

Last LPSN update 2025-12-16 10:08:10

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus alactolyticus

Full scientific name Streptococcus alactolyticus Farrow et al. 1985

Synonyms (1)

Streptococcus intestinalis

BacDive ID	Other strains from **Streptococcus alactolyticus** (6)	Type strain
14716	S. alactolyticus GP2, CCUG 27297, LMG 14808, DSM 20728, ATCC ... (type strain)
14715	S. alactolyticus 76-84-1, DSM 5199, ATCC 43492, CCUG 27640, ...
134526	S. alactolyticus 76-84-10, CIP 105974, ATCC 43493
150529	S. alactolyticus CCUG 41502, LMG 14588
150530	S. alactolyticus CCUG 41503, LMG 14810
153188	S. alactolyticus CCUG 48683

Morphology

Cell morphology

@ref	Motility	Confidence
125438		91.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65898	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
65898	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
65898	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	microaerophile	99.2

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	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	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

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-galactosidase	-	3.2.1.23	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

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
65898	-	+/-	-	-	+	-	-	-	-	-	-	+	+	-	-	-	+	+	-	-	-	-	+/-	-	-	+	+	-	-	-	-	-
65898	-	-	-	-	+	-	-	-	-	-	-	+	+	-	-	-	+	+	-	-	-	-	-	-	-	+	-	-	-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
65898	feces; pig, 8 weeks old, wild type	Kranzberg (Bavaria)	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537444 (>99% sequence identity) for Streptococcus alactolyticus subclade from Microbeatlas

Aquatic Samples	1055
Soil Samples	611
Animal Samples	23746
Plant Samples	314
Total Samples	25726

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
65898	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM969562v1 assembly for Streptococcus alactolyticus BL-178-WT-3A	contig	GCA_009695625	29389.6	29389	64.99

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65898	Streptococcus alactolyticus strain DSM 100950 16S ribosomal RNA gene, partial sequence	MN537444	1500		29389

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus alactolyticus BL-178-WT-3A
NCBI: GCA_009695625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	85.40	no
125439	motility	BacteriaNetⓘ	no	81.40	no
125439	gram_stain	BacteriaNetⓘ	positive	87.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	99.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus alactolyticus strain BL-178-WT-3A
PATRIC: 29389.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.40	no
125438	anaerobic	anaerobicⓘ	no	84.99	no
125438	spore-forming	spore-formingⓘ	no	86.67	no
125438	thermophilic	thermophileⓘ	no	96.94	yes
125438	aerobic	aerobicⓘ	no	97.58	no
125438	flagellated	motile2+ⓘ	no	91.50	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 )
#65898	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100950
#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 .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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