Neisseria mucosa (DSM 17611, ATCC 19696, CIP 59.51)

Name: Neisseria mucosa (DSM 17611, ATCC 19696, CIP 59.51)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 10469

Type strain

Strain Designation N 16 1959

Culture col. no. DSM 17611 ATCC 19696 CIP 59.51 NCTC 12978 CCUG 26877 2 more

NCBI tax ID(s) 488

Special Collections DSMZ CCUG JCM CIP

History DSMZ <- CIP <- M. Véron, Necker Hospital, Paris CIP <- 1959, M. Véron, Necker Hosp., Paris, France: strain N 16 1959 JCM <-- CCUG 26877 <-- CIP 59.51 <-- M. Véron N16. CIP <- 1959, M. Véron, Necker Hosp., Paris, France: strain N 16 1959

Links

Neisseria mucosa N 16 1959 is a microaerophile bacterium that was isolated from sputum from a patient with bronchitis and nephrititis.

microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 37075

ATCC 19696,CIP 5951,CCUG 26877,NCTC 12978,CIP 59.51,BCRC 10716,CCRC 10716,JCM 12992,DSM 17611

@ref 20215

Last LPSN update 2026-05-29 08:27:20

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Neisseriales

Family Neisseriaceae

Genus Neisseria

Species Neisseria mucosa

Full scientific name Neisseria mucosa Véron et al. 1959 (Approved Lists 1980)

BacDive ID	Other strains from **Neisseria mucosa** (39)	Type strain
134456	N. mucosa X 34, CIP 59.47, ATCC 19693
134752	N. mucosa X 68, CIP 59.48, ATCC 19694
134753	N. mucosa X 71, CIP 59.49, ATCC 19695
134754	N. mucosa Pat, CIP 59.50, ATCC 19697
135684	N. mucosa M3, CIP 73.14, ATCC 25999, NCTC 10777, CCUG ...
136267	N. mucosa AmMS 138, CIP 104058, ATCC 49233
137487	N. mucosa CIP 59.55, NCTC 4590
141307	N. mucosa CCUG 795, NCDC B4509
141312	N. mucosa CCUG 804
141313	N. mucosa CCUG 805
142076	N. mucosa CCUG 10421
142378	N. mucosa CCUG 12106
142392	N. mucosa CCUG 12285
142493	N. mucosa CCUG 12673
142824	N. mucosa CCUG 15084
143128	N. mucosa CCUG 17327
143589	N. mucosa CCUG 20483
144342	N. mucosa CCUG 24677 B
144359	N. mucosa CCUG 24737
144848	N. mucosa CCUG 26783
145611	N. mucosa CCUG 28979
145838	N. mucosa CCUG 29748
146017	N. mucosa CCUG 30166 A
146018	N. mucosa CCUG 30166 B
146067	N. mucosa CCUG 30321
146635	N. mucosa CCUG 31685
147024	N. mucosa CCUG 32663
147462	N. mucosa CCUG 33613
148085	N. mucosa CCUG 34798
148220	N. mucosa CCUG 35064
150112	N. mucosa CCUG 39006
150522	N. mucosa CCUG 41480
150781	N. mucosa CCUG 42307
151058	N. mucosa CCUG 43177
151745	N. mucosa CCUG 44774
151776	N. mucosa CCUG 44849
153226	N. mucosa CCUG 48804
155712	N. mucosa CCUG 59115
156828	N. mucosa CCUG 65884

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125438	negative	99
125439		95.291

Colony morphology

7084

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
7084	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
37603	MEDIUM 6 - Columbia agar with 10 % horse blood		Distilled water make up to (1000.000 ml);Columbia agar (39.000 g);Horseblood (100.000 ml)
121160	CIP Medium 6	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
7084	positive	growth	30
37603	positive	growth	30
48586	positive	growth	30-37
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
48586	microaerophile
125439	obligate aerobe	92.888

Spore formation

@ref	Spore formation	Confidence
125439		97.156

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	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
68377	alkaline phosphatase	-	3.1.3.1	from API NH
68377	lipase	-		from API NH
68377	ornithine decarboxylase	-	4.1.1.17	from API NH
68377	proline-arylamidase	+	3.4.11.5	from API NH
68377	tryptophan deaminase	-	4.1.99.1	from API NH
68377	urease	-	3.5.1.5	from API NH

API NH

@ref	PEN	GLU	FRU	MAL	SAC	ODC	URE	LIP	PAL	beta GAL	ProA	GGT	IND
7084	+	+	+	+	-	-	-	-	-	+	+	-	-
7084	-	+	+	+	+	-	-	-	-	-	+	+	-
7084	-	+	+	+	+	-	-	-	-	-	+	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Disease	-
#Infection	#Inflammation	-
#Infection	#Patient	-
#Host Body Product	#Fluids	#Sputum

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
7084	sputum from a patient with bronchitis and nephrititis	Homo sapiens	France	FRA	Europe
48586	Human sputum,chronic bronchitis	Homo sapiens
67770	Human sputum, chronic bronchitis	Homo sapiens
121160	Human, Sputum, bronchitis and nephrititis	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence HF558371 (>99% sequence identity) for Neisseria from Microbeatlas

Aquatic Samples	644
Soil Samples	433
Animal Samples	20175
Plant Samples	271
Total Samples	21523

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7084	2	Risk group (German classification) According to TRBA 466
121160	1	Risk group (French 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	ASM302831v1 assembly for Neisseria mucosa ATCC 19696	complete	GCA_003028315	488.19	2874897852	488	73.42

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Neisseria mucosa 16S rRNA gene, partial	AJ247257	457	488
7084	Neisseria mucosa partial 16S rRNA gene, type strain DSM 17611T	HG005351	1537	488
67770	Neisseria mucosa gene for 16S ribosomal RNA, partial sequence	AB910739	1502	488
67770	Neisseria mucosa partial 16S rRNA gene, strain N16	HF558371	1501	488

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM302831v1 assembly for Neisseria mucosa ATCC 19696
BV-BRC: 488.19

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	92.89	no
125439	gram_stain	BacteriaNetⓘ	positive	74.52	no
125439	motility	BacteriaNetⓘ	no	95.29	no
125439	spore_formation	BacteriaNetⓘ	no	97.16	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Neisseria mucosa ATCC 19696
NCBI: GCA_003028315.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	92.81	yes
125438	aerobic	aerobicⓘ	no	61.87	yes
125438	spore-forming	spore-formingⓘ	no	89.91	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	no	84.79	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Acetaldehyde production by Rothia mucilaginosa isolates from patients with oral leukoplakia.	Amer A, Whelan A, Al-Hebshi NN, Healy CM, Moran GP.	J Oral Microbiol	10.1080/20002297.2020.1743066	2020
	Evaluation of microbiota associated with Herpesviruses in active sites of generalized aggressive periodontitis.	Passariello C, Gigola P, Testarelli L, Puttini M, Schippa S, Petti S.	Ann Stomatol (Roma)	10.11138/ads/2017.8.2.071	2017
	Metabolic strategies that enable oral commensal persistence in a lower airway environment.	Toney AM, Koirala J, Stacy A.	mBio	10.1128/mbio.01948-25	2025
	Draft Genome Sequence of Neisseria mucosa Strain HSUH001, Isolated from an Aggressive Periodontal Lesion.	Yamashita M, Nagasawa T, Kato S, Miyakawa H, Fujita M, Furuichi Y, Nagano K.	Microbiol Resour Announc	10.1128/mra.00238-21	2021
Genetics	Whole Genome Analyses Accurately Identify Neisseria spp. and Limit Taxonomic Ambiguity.	Khoder M, Osman M, Kassem II, Rafei R, Shahin A, Fournier PE, Rolain JM, Hamze M.	Int J Mol Sci	10.3390/ijms232113456	2022
Phylogeny	Confirmation of the Need for Reclassification of Neisseria mucosa and Neisseria sicca Using Average Nucleotide Identity Blast and Phylogenetic Analysis of Whole-Genome Sequencing: Hinted by Clinical Misclassification of a Neisseria mucosa Strain.	Jin Y, Xu H, Yao Q, Gu B, Wang Z, Wang T, Yu X, Lu Y, Zheng B, Zhang Y.	Front Microbiol	10.3389/fmicb.2021.780183	2021
	The Human Microbiome as a Focus of Antibiotic Discovery: Neisseria mucosa Displays Activity Against Neisseria gonorrhoeae.	Aho EL, Ogle JM, Finck AM.	Front Microbiol	10.3389/fmicb.2020.577762	2020
	Diversity of the type VI secretion systems in the Neisseria spp.	Calder A, Snyder LAS.	Microb Genom	10.1099/mgen.0.000986	2023
Pathogenicity	Neisseria genes required for persistence identified via in vivo screening of a transposon mutant library.	Rhodes KA, Ma MC, Rendon MA, So M.	PLoS Pathog	10.1371/journal.ppat.1010497	2022
Phylogeny	Dialects of the DNA uptake sequence in Neisseriaceae.	Frye SA, Nilsen M, Tonjum T, Ambur OH.	PLoS Genet	10.1371/journal.pgen.1003458	2013
	Effects of azithromycin, metronidazole, amoxicillin, and metronidazole plus amoxicillin on an in vitro polymicrobial subgingival biofilm model.	Soares GM, Teles F, Starr JR, Feres M, Patel M, Martin L, Teles R.	Antimicrob Agents Chemother	10.1128/aac.04974-14	2015
Pathogenicity	Spatial Ecology of the Human Tongue Dorsum Microbiome.	Wilbert SA, Mark Welch JL, Borisy GG.	Cell Rep	10.1016/j.celrep.2020.02.097	2020
	The vaginal microflora in relation to gingivitis.	Persson R, Hitti J, Verhelst R, Vaneechoutte M, Persson R, Hirschi R, Weibel M, Rothen M, Temmerman M, Paul K, Eschenbach D.	BMC Infect Dis	10.1186/1471-2334-9-6	2009
Enzymology	Use of tuf sequences for genus-specific PCR detection and phylogenetic analysis of 28 streptococcal species.	Picard FJ, Ke D, Boudreau DK, Boissinot M, Huletsky A, Richard D, Ouellette M, Roy PH, Bergeron MG.	J Clin Microbiol	10.1128/jcm.42.8.3686-3695.2004	2004
Enzymology	Rapid concentration and molecular enrichment approach for sensitive detection of Escherichia coli and Shigella species in potable water samples.	Maheux AF, Bissonnette L, Boissinot M, Bernier JL, Huppe V, Picard FJ, Berube E, Bergeron MG.	Appl Environ Microbiol	10.1128/aem.02337-10	2011
	Development of a PCR assay for rapid detection of enterococci.	Ke D, Picard FJ, Martineau F, Menard C, Roy PH, Ouellette M, Bergeron MG.	J Clin Microbiol	10.1128/jcm.37.11.3497-3503.1999	1999
	Sulfonamide resistance in Neisseria meningitidis as defined by site-directed mutagenesis could have its origin in other species.	Fermer C, Kristiansen BE, Skold O, Swedberg G.	J Bacteriol	10.1128/jb.177.16.4669-4675.1995	1995
	Characterization of a cryptic gene pair from Neisseria gonorrhoeae that is common to pathogenic Neisseria species.	Seifert HS, Wilson D.	Infect Immun	10.1128/iai.60.3.1232-1236.1992	1992
	PCR amplicon restriction endonuclease analysis of the chromosomal dhps gene of Neisseria meningitidis: a method for studying spread of the disease-causing strain in contacts of patients with meningococcal disease.	Kristiansen BE, Fermer C, Jenkins A, Ask E, Swedberg G, Skold O.	J Clin Microbiol	10.1128/jcm.33.5.1174-1179.1995	1995
	Evaluation of Gonozyme, an enzyme immunoassay for the rapid diagnosis of gonorrhea.	Manis RD, Harris B, Geiseler PJ.	J Clin Microbiol	10.1128/jcm.20.4.742-746.1984	1984
Metabolism	Modified oxidation-fermentation medium for detection of acid production from carbohydrates by Neisseria spp. and Branhamella catarrhalis.	Knapp JS, Holmes KK.	J Clin Microbiol	10.1128/jcm.18.1.56-62.1983	1983
	Commensal Neisseria Inhibit Porphyromonas Gingivalis Invasion of Gingival Epithelial Cells.	Fukuda S, Akatsu T, Fujii A, Kawano S, Minegishi Y, Ota N.	Oral Health Prev Dent	10.3290/j.ohpd.b5866430	2024
	Enhanced propagation of Granulicatella adiacens from human oral microbiota by hyaluronan.	Yabuuchi S, Oiki S, Minami S, Takase R, Watanabe D, Hashimoto W.	Sci Rep	10.1038/s41598-022-14857-9	2022
Phylogeny	Diagnostics of neisseriaceae and moraxellaceae by ribosomal DNA sequencing: ribosomal differentiation of medical microorganisms.	Harmsen D, Singer C, Rothganger J, Tonjum T, de Hoog GS, Shah H, Albert J, Frosch M	J Clin Microbiol	10.1128/JCM.39.3.936-942.2001	2001

References

#7084	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17611
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#37603	; Curators of the CIP;
#48586	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 26877
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68377	Automatically annotated from API NH .
#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 .
#121160	Collection of Institut Pasteur ; Curators of the CIP; CIP 59.51
#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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Neisseria mucosa (DSM 17611, ATCC 19696, CIP 59.51)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API NH

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003028315

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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