Streptococcus agalactiae (CCUG 37430)

Name: Streptococcus agalactiae (CCUG 37430)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 149291

Type strain

Culture col. no. CCUG 37430

NCBI tax ID(s) 1154810 1311

Special Collections CCUG

Links

Streptococcus agalactiae CCUG 37430 is a prokaryote that was isolated from Human urine.

genome sequence

Name and taxonomic classification

SI-ID 57451

CCUG 37430

@ref 20215

Last LPSN update 2026-02-09 11:36:08

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus agalactiae

Full scientific name Streptococcus agalactiae Lehmann and Neumann 1896 (Approved Lists 1980)

Synonyms (2)

Streptococcus difficile
Streptococcus difficilis

BacDive ID	Other strains from **Streptococcus agalactiae** (96)	Type strain
14712	S. agalactiae G 19, G19, CCUG 4208, CIP 103227, JCM 5671, ... (type strain)
14713	S. agalactiae DSM 6784, ATCC 27956, CCUG 34230, NADC 44, ...
14714	S. agalactiae ND 2-22, DSM 16828, ATCC 51487, CIP 103768, ...
134457	S. agalactiae CIP 82.42, ATCC 12401, CCUG 29780, CNCTC ...
135137	S. agalactiae CHIC 79/25714, CIP 104493
135178	S. agalactiae D136 C, CIP 82.45, ATCC 12403, CCUG 29782, ...
135556	S. agalactiae CF 01-173, CIP 110360
135743	S. agalactiae B120, CIP 108247
135992	S. agalactiae CIP 82.43, ATCC 27591
135993	S. agalactiae CIP 82.44
136503	S. agalactiae CIP 106391
136518	S. agalactiae CIP 106390
136919	S. agalactiae 2603 V/R, CIP 107950, ATCC BAA-611
137082	S. agalactiae CHIC 83/27874, CIP 104492
137547	S. agalactiae B1, M 134, CIP 55.118
137716	S. agalactiae B128, CIP 106138
138401	S. agalactiae CIP 82.41, ATCC 12400, CCUG 29779, CNCTC ...
138402	S. agalactiae CIP 82.46
138403	S. agalactiae SS970, B108, CIP 82.47
138847	S. agalactiae ND 2-23, CIP 103853, ATCC 700208
139264	S. agalactiae CIP 104971
141191	S. agalactiae CCUG 91
141636	S. agalactiae CCUG 4209, ATCC 12386, NCTC 9993
142361	S. agalactiae CCUG 12037, NCTC 11360
142362	S. agalactiae CCUG 12039, NCTC 8187
143130	S. agalactiae CCUG 17336
143426	S. agalactiae CCUG 19094
143942	S. agalactiae CCUG 22011
143943	S. agalactiae CCUG 22012
143944	S. agalactiae CCUG 22014
143945	S. agalactiae CCUG 22015
143946	S. agalactiae CCUG 22016
143947	S. agalactiae CCUG 22017
144379	S. agalactiae CCUG 24810
144527	S. agalactiae CCUG 25532
145441	S. agalactiae CCUG 28551
145639	S. agalactiae CCUG 29122
145640	S. agalactiae CCUG 29123
145713	S. agalactiae CCUG 29376
145850	S. agalactiae CCUG 29783, CNCTC 1/82, ATCC 49446
145851	S. agalactiae CCUG 29784, CNCTC 10/84, ATCC 49447
145852	S. agalactiae CCUG 29785, CNCTC 2/86
146220	S. agalactiae CCUG 30636
148553	S. agalactiae CCUG 35629
149434	S. agalactiae CCUG 37736
149435	S. agalactiae CCUG 37737
149436	S. agalactiae CCUG 37738
149437	S. agalactiae CCUG 37739
149438	S. agalactiae CCUG 37740
149439	S. agalactiae CCUG 37741
149440	S. agalactiae CCUG 37742
149778	S. agalactiae CCUG 38383
150147	S. agalactiae CCUG 39096 A
151408	S. agalactiae CCUG 44050
151430	S. agalactiae CCUG 44074
151433	S. agalactiae CCUG 44077
151460	S. agalactiae CCUG 44104
151465	S. agalactiae CCUG 44110
151488	S. agalactiae CCUG 44140
151515	S. agalactiae CCUG 44186
151858	S. agalactiae CCUG 45061
152650	S. agalactiae CCUG 47293
153313	S. agalactiae CCUG 49072
153314	S. agalactiae CCUG 49086
153315	S. agalactiae CCUG 49087
153316	S. agalactiae CCUG 49100
153317	S. agalactiae CCUG 49101
153318	S. agalactiae CCUG 49111
153319	S. agalactiae CCUG 49125
153320	S. agalactiae CCUG 49126
153321	S. agalactiae CCUG 49140
153322	S. agalactiae CCUG 49145
153323	S. agalactiae CCUG 49146
153324	S. agalactiae CCUG 49160
153325	S. agalactiae CCUG 49161
153326	S. agalactiae CCUG 49176
153327	S. agalactiae CCUG 49197
156357	S. agalactiae CCUG 61279
156659	S. agalactiae CCUG 63958
170996	S. agalactiae B 130, CIP 105103
170997	S. agalactiae 96_BM 6101, CRBIP22.1
170998	S. agalactiae 118, CRBIP22.10
170999	S. agalactiae 114, CRBIP22.11
171000	S. agalactiae 116, CRBIP22.12
171001	S. agalactiae 117, CRBIP22.13
171002	S. agalactiae 120, CRBIP22.14
171003	S. agalactiae 121, CRBIP22.15
171004	S. agalactiae 119, CRBIP22.16
171005	S. agalactiae 97_BM6105, CRBIP22.2
171006	S. agalactiae 98, CRBIP22.3
171007	S. agalactiae 111, CRBIP22.4
171008	S. agalactiae 101, CRBIP22.5
171009	S. agalactiae 109, CRBIP22.6
171010	S. agalactiae 110, CRBIP22.7
171011	S. agalactiae 115, CRBIP22.8
171012	S. agalactiae 113, CRBIP22.9

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	microaerophile	98

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-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

Fatty acid profile

Metadata FA analysis

@ref

53665

Fatty acid	Percentage	ECL
C16:0	30.9	16
C14:0	13.8	14
C18:0	11.6	18
C18:2 ω6,9c/C18:0 ANTE	9.1	17.724
C16:1 ω7c	8.4	15.819
C12:0	6.4	12
C18:1 ω6c	6	17.858
C16:1 ω9c	4.8	15.774
C18:1 ω9c	4.7	17.769
C16:1 ω5c	2	15.908
C13:0 ISO 2OH	1.3	13.814
C20:0	1.1	20

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
53665	+	-	-	+	-	+	+	-	-	-	+	-	+	-	-	-	+	+	-	-	-	-	+	-	+	+	-	-	+	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	#Urine

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
53665	Human urine	1997-01-29	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM28873v1 assembly for Streptococcus agalactiae CCUG 37430	contig	GCA_000288735	1154810.3	2529293091	1154810	75.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptococcus agalactiae CCUG 37430
NCBI: GCA_000288735

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	98.00	no
125439	gram_stain	BacteriaNetⓘ	positive	87.00	no
125439	motility	BacteriaNetⓘ	no	68.60	no
125439	spore_formation	BacteriaNetⓘ	no	88.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus agalactiae CCUG 37430
PATRIC: 1154810.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.79	no
125438	anaerobic	anaerobicⓘ	no	91.22	no
125438	spore-forming	spore-formingⓘ	no	84.51	no
125438	aerobic	aerobicⓘ	no	96.24	no
125438	thermophilic	thermophileⓘ	no	96.41	no
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Identification of clinically important anaerobic bacteria by an oligonucleotide array.	Lin YT, Vaneechoutte M, Huang AH, Teng LJ, Chen HM, Su SL, Chang TC.	J Clin Microbiol	10.1128/jcm.01620-09	2010

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 )
#53665	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 37430
#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 .
#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 agalactiae (CCUG 37430)

Name and taxonomic classification

Morphology

Culture and growth conditions