Neisseria sicca (CCUG 26474, CIP 5956, NCTC 4591)

Name: Neisseria sicca (CCUG 26474, CIP 5956, NCTC 4591)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 144759

Type strain

Culture col. no. CCUG 26474 CIP 5956 NCTC 4591

NCBI tax ID(s) 490

Special Collections CCUG CIP

Links

Neisseria sicca CCUG 26474 is a prokaryote of the family Neisseriaceae.

genome sequence

Name and taxonomic classification

SI-ID 55879

CCUG 26474,ITM 3378,CIP 5956,NCTC 4591,CIP 59.56

@ref 20215

Last LPSN update 2025-12-16 10:04:41

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
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
151194	N. sicca CCUG 43437
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

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	positive	96.6
125439		97.1

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.3

Spore formation

@ref	Spore formation	Confidence
125439		90.8

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	NsiccaVK64v1.0 assembly for Neisseria sicca VK64	contig	GCA_000260655	1095748.3	2537561961	1095748	35.68

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Neisseria sicca VK64, NCTC 4591
IMG: 2537561961

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.80	no
125439	motility	BacteriaNetⓘ	no	97.10	no
125439	gram_stain	BacteriaNetⓘ	positive	96.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.30	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 )
#48473	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 26474
#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) .
#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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