Cite this strain

Neisseria sicca (CCUG 43437)

Name: Neisseria sicca (CCUG 43437)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 151194

Type strain

Culture col. no. CCUG 43437

NCBI tax ID(s) 490

Special Collections CCUG

Links

Neisseria sicca CCUG 43437 is a prokaryote that was isolated from Human joint fluid,knee,prosthesis.

genome sequence

Name and taxonomic classification

SI-ID 109603

CCUG 43437

@ref 20215

Last LPSN update 2025-12-16 10:06:17

Domain Pseudomonadati

Phylum Pseudomonadota

Class Betaproteobacteria

Order Neisseriales

Family Neisseriaceae

Genus Neisseria

Species Neisseria sicca

Full scientific name Neisseria sicca (von Lingelsheim 1908) Bergey et al. 1923 (Approved Lists 1980)

Synonyms (1)

"Diplococcus siccus"

BacDive ID	Other strains from **Neisseria sicca** (42)	Type strain
10483	N. sicca Berger 6b, 30.016, Q19, DSM 17713, ATCC 29256, ... (type strain)
10484	N. sicca DSM 23539, ATCC 9913, CCUG 33779, AMC 14-D-1, ...
135129	N. sicca 1485, CIP 52.183
138064	N. sicca CIP 52.192
141257	N. sicca CCUG 431, CIP 52183
141688	N. sicca CCUG 4790, ATCC 29259
141689	N. sicca CCUG 4791
141834	N. sicca CCUG 7581
142554	N. sicca CCUG 12950
144227	N. sicca CCUG 23778
144373	N. sicca CCUG 24792
144391	N. sicca CCUG 24847
144392	N. sicca CCUG 24848
144411	N. sicca CCUG 24918, CCM 4404
144703	N. sicca CCUG 26319
144736	N. sicca CCUG 26416, CCM 4406
144758	N. sicca CCUG 26473
144759	N. sicca CCUG 26474, CIP 5956, NCTC 4591
144760	N. sicca CCUG 26475, CIP 52179
144792	N. sicca CCUG 26558, CCM 4405
144883	N. sicca CCUG 26974
144937	N. sicca CCUG 27181 A
145312	N. sicca CCUG 28151
145424	N. sicca CCUG 28444
146174	N. sicca CCUG 30505
146574	N. sicca CCUG 31469
147017	N. sicca CCUG 32653
147255	N. sicca CCUG 33211
147258	N. sicca CCUG 33217
147419	N. sicca CCUG 33562
147900	N. sicca CCUG 34456
148269	N. sicca CCUG 35129
149352	N. sicca CCUG 37564
149708	N. sicca CCUG 38259
152478	N. sicca CCUG 46900
153227	N. sicca CCUG 48805
154320	N. sicca CCUG 53069
154375	N. sicca CCUG 53293
154877	N. sicca CCUG 55515
155929	N. sicca CCUG 59668
156674	N. sicca CCUG 64048
156788	N. sicca CCUG 65218

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	92.956
125439	anaerobe	99.1

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68377	15824 ChEBI	D-fructose	+	builds acid from	from API NH
68377	17634 ChEBI	D-glucose	+	builds acid from	from API NH
68377	17306 ChEBI	maltose	+	builds acid from	from API NH
68377	18257 ChEBI	ornithine	-	degradation	from API NH
68377	17992 ChEBI	sucrose	+	builds acid from	from API NH
68377	27897 ChEBI	tryptophan	-	energy source	from API NH
68377	16199 ChEBI	urea	-	hydrolysis	from API NH

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68377	35581 ChEBI	indole		from API NH

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68377	35581 ChEBI	indole	-	from API NH

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68377	alkaline phosphatase	-	3.1.3.1	from API NH
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68377	beta-galactosidase	-	3.2.1.23	from API NH
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
68377	beta-lactamase	-	3.5.2.6	from API NH
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	-		from API zym
68377	gamma-glutamyltransferase	-	2.3.2.2	from API NH
68382	leucine arylamidase	+	3.4.11.1	from API zym
68377	lipase	-		from API NH
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
68377	ornithine decarboxylase	-	4.1.1.17	from API NH
68377	proline-arylamidase	+	3.4.11.5	from API NH
68382	trypsin	-	3.4.21.4	from API zym
68377	tryptophan deaminase	-	4.1.99.1	from API NH
68377	urease	-	3.5.1.5	from API NH
68382	valine arylamidase	-		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
55864	-	-	+	-	-	+	-	-	-	-	+	+	-	-	-	-	-	-	-	-

API NH

@ref	PEN	GLU	FRU	MAL	SAC	ODC	URE	LIP	PAL	beta GAL	ProA	GGT	IND
55864	-	+	+	+	+	-	-	-	-	-	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Fluids	-
#Host Body-Site	#Limb	#Joint
#Infection	#Patient	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
55864	Human joint fluid,knee,prosthesis	2000-03-01	Skövde	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM2680502v1 assembly for Mediterraneibacter gnavus CCUG 43437	contig	GCA_026805025	33038.1044	33038	52.75

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: [Ruminococcus] gnavus CCUG 43437
NCBI: GCA_026805025

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	86.50	no
125439	motility	BacteriaNetⓘ	yes	88.00	no
125439	gram_stain	BacteriaNetⓘ	variable	71.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: [Ruminococcus] gnavus CCUG 43437
NCBI: GCA_026805025.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.12	no
125438	anaerobic	anaerobicⓘ	yes	92.96	no
125438	aerobic	aerobicⓘ	no	95.45	no
125438	spore-forming	spore-formingⓘ	no	50.09	no
125438	thermophilic	thermophileⓘ	no	95.17	no
125438	flagellated	motile2+ⓘ	no	83.57	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 )
#55864	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 43437
#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) .
#68377	Automatically annotated from API NH .
#68382	Automatically annotated from API zym .
#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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