Neisseria lactamica (CIP 102541, ATCC 23971, NCTC 10618)

Name: Neisseria lactamica (CIP 102541, ATCC 23971, NCTC 10618)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 138025

Type strain

Culture col. no. CIP 102541 ATCC 23971 NCTC 10618 NCDC A5906

NCBI tax ID(s) 486

Special Collections CIP

Links

Neisseria lactamica CIP 102541 is a mesophilic prokaryote of the family Neisseriaceae.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 38306

ATCC 23971,NCTC 10618,CIP 102541

@ref 20215

Last LPSN update 2025-12-16 10:02:58

Domain Pseudomonadati

Phylum Pseudomonadota

Class Betaproteobacteria

Order Neisseriales

Family Neisseriaceae

Genus Neisseria

Species Neisseria lactamica

Full scientific name Neisseria lactamica corrig. Hollis et al. 1969 (Approved Lists 1980)

Synonyms (1)

Neisseria lactamicus

BacDive ID	Other strains from **Neisseria lactamica** (15)	Type strain
10467	N. lactamica DSM 4691, ATCC 23970, NCTC 10617, CCUG 5853, ... (type strain)
135081	N. lactamica 9764, CIP 107857
135325	N. lactamica AmMS 118, CIP 103665, ATCC 49142
135685	N. lactamica LNP N 104, CIP 73.27
135686	N. lactamica LNP N 105, CIP 73.28
136912	N. lactamica 8064, CIP 107855
138997	N. lactamica Tazir, CIP 76.123
141308	N. lactamica CCUG 796, ATCC 23972, NCTC 10616
141849	N. lactamica CCUG 7757
143076	N. lactamica CCUG 17016
143165	N. lactamica CCUG 17628, CCM 4402
144761	N. lactamica CCUG 26479
144762	N. lactamica CCUG 26480
144763	N. lactamica CCUG 26481
151815	N. lactamica CCUG 44970

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	100

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition
38980	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)
38980	CIP Medium 6

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
38980	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	microaerophile	98

Spore formation

@ref	Spore formation	Confidence
125438		94.269
125439		99.2

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
38980	17234 ChEBI	glucose	-	fermentation
38980	17716 ChEBI	lactose	-	fermentation
38980	17632 ChEBI	nitrate	-	reduction
38980	16301 ChEBI	nitrite	+	reduction

Enzymes

@ref	Value	Activity
38980	oxidase	+
38980	urease	-

Isolation, sampling and environmental information

Isolation

@ref	Country	Country ISO 3 Code	Continent
38980	USA	USA	North America
38980	United States of America	USA	North America

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
38980	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	34576_G01 assembly for Neisseria lactamica NCTC10618	contig	GCA_900454095	486.185	486	79.13

Genome browser: GCA_900454095

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Neisseria lactamica NCTC10618
NCBI: GCA_900454095

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.20	no
125439	motility	BacteriaNetⓘ	no	73.10	no
125439	gram_stain	BacteriaNetⓘ	negative	80.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	98.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Neisseria lactamica strain NCTC10618
PATRIC: 486.185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	95.89	no
125438	spore-forming	spore-formingⓘ	no	94.27	no
125438	aerobic	aerobicⓘ	no	53.73	no
125438	thermophilic	thermophileⓘ	no	98.00	yes
125438	flagellated	motile2+ⓘ	no	86.82	no

Literature

Title	Authors	Journal	DOI	Year
A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria.	Chakravorty S, Helb D, Burday M, Connell N, Alland D.	J Microbiol Methods	10.1016/j.mimet.2007.02.005	2007
Evaluation of the analytical performance of the Xpert MTB/RIF assay.	Blakemore R, Story E, Helb D, Kop J, Banada P, Owens MR, Chakravorty S, Jones M, Alland D.	J Clin Microbiol	10.1128/jcm.00128-10	2010
The Host Cell Transcription Factor EGR1 Is Induced by Bacteria through the EGFR-ERK1/2 Pathway.	de Klerk N, Saroj SD, Wassing GM, Maudsdotter L, Jonsson AB.	Front Cell Infect Microbiol	10.3389/fcimb.2017.00016	2017

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 )
#38980	Collection of Institut Pasteur ; Curators of the CIP; CIP 102541
#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) .
#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 lactamica (CIP 102541, ATCC 23971, NCTC 10618)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900454095

Genome-based predictions

Predictions

Literature

Literature

References

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