Legionella parisiensis (DSM 19216, ATCC 35299, CCUG 29670)

Name: Legionella parisiensis (DSM 19216, ATCC 35299, CCUG 29670)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6751

Type strain

Strain Designation PF-209C-C2

Culture col. no. DSM 19216 ATCC 35299 CCUG 29670 CIP 103847 NCTC 11983 2 more

NCBI tax ID(s) 45071

Special Collections DSMZ CCUG JCM CIP

History DSMZ <- H. E. Müller <- ATCC <- G. W. Gorman; PF-209C-C2 JCM <-- GIFU 11745 <-- ATCC 35299 <-- G. W. Gorman PF-209C-C2. CIP <- 1993, R.F. Benson, CDC: strain PF-209C-C2

Links

Legionella parisiensis PF-209C-C2 is a microaerophile, Gram-negative, motile bacterium that was isolated from water in cooling tower.

Gram-negative motile rod-shaped microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 46780

ATCC 35299,NCTC 11983,CCUG 29670,CIP 103847,JCM 7561,DSM 19216

@ref 20215

Last LPSN update 2026-05-29 08:26:29

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Legionellales

Family Legionellaceae

Genus Legionella

Species Legionella parisiensis

Full scientific name Legionella parisiensis Brenner et al. 1985

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
121598	negative	rod-shaped
125439	negative		96.687
125438	negative		98.994

Colony morphology

@ref	Incubation period
7974	2-3 days
49706	2 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
7974	BCYE-AGAR (DSMZ Medium 585)	Medium recipe at MediaDive	Name: BCYE AGAR (DSMZ Medium 585) Composition: OXOID Legionella CYE-Agar base
34425	MEDIUM 23 - for Afipia and Legionella		Distilled water make up to (1000.000 ml);Legionella agar (37.000 g);Legionella - enrichment mixture (10.000 ml)
121598	CIP Medium 23	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
7974	positive	growth	37
34425	positive	growth	37
49706	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
7974	microaerophile
125439	obligate aerobe	99.318

Spore formation

@ref	Spore formation	Confidence
125439		98.763

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
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
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
7974	catalase	+	1.11.1.6
121598	catalase	+	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
7974	cytochrome-c oxidase	+	1.9.3.1
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
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
121598	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
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
121598	-	+	+	+	-	+	+	-	-	-	+	+	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Industrial	#Cooling tower
#Environmental	#Aquatic	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Sampling date
7974	water in cooling tower	Paris	France	FRA	Europe
49706	Water cooling tower					1981
67770	Water in cooling tower		France	FRA	Europe
121598	Other, Cooling tower water	Paris	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence Z49731 (>99% sequence identity) for Legionella parisiensis from Microbeatlas

Aquatic Samples	32
Soil Samples	31
Animal Samples	24
Plant Samples	1
Total Samples	88

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
7974	yes, in single cases	1	Risk group (German classification) According to TRBA 466
121598		2	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
67770	51485_C01 assembly for Legionella parisiensis NCTC11983	contig	GCA_900461585	45071.8	2971555903	45071	78.85
124043	ASM146794v1 assembly for Legionella parisiensis PF-209-C-C2	scaffold	GCA_001467945	45071.6	2660238525	45071	71.32
66792	Leg_parisiensis_PF-209C-C2.v1 assembly for Legionella parisiensis PF-209C-C2	scaffold	GCA_900639925	45071.9		45071	71.03
67770	ASM173614v1 assembly for Legionella parisiensis DSM 19216	contig	GCA_001736145	45071.7	2916396677	45071	31.82

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Legionella parisiensis strain MDC1587 16S ribosomal RNA gene, partial sequence	JF720396	524	45071
20218	L.parisiensis gene for ribosomal RNA, small subunit	Z49731	1405	45071
7974	Legionella parisiensis 16S ribosomal RNA gene, complete sequence	U59697	1347	45071
67770	Legionella parisiensis JCM 7561 gene for 16S ribosomal RNA, partial sequence	LC504039	1466	45071

GC content

@ref	GC-content (mol%)	Method
67770	42	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: 51485_C01 assembly for Legionella parisiensis NCTC11983
BV-BRC: 45071.8

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.32	no
125439	gram_stain	BacteriaNetⓘ	negative	96.69	no
125439	motility	BacteriaNetⓘ	yes	44.50	no
125439	spore_formation	BacteriaNetⓘ	no	98.76	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Legionella parisiensis PF-209C-C2
NCBI: GCA_900639925.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.99	no
125438	anaerobic	anaerobicⓘ	no	97.09	no
125438	aerobic	aerobicⓘ	no	75.80	yes
125438	spore-forming	spore-formingⓘ	no	88.76	no
125438	thermophilic	thermophileⓘ	no	95.27	yes
125438	flagellated	motile2+ⓘ	yes	64.22	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Electronic selection of viable Legionella cells by a video-based, quantifiable dielectrophoresis approach.	Altmann M, Henriksson A, Neubauer P, Birkholz M.	Biomed Microdevices	10.1007/s10544-025-00762-1	2025
	Validation of a Loop-Mediated Isothermal Amplification-Based Kit for the Detection of Legionella pneumophila in Environmental Samples According to ISO/TS 12869:2012.	Caruso G, Coniglio MA, Lagana P, Fasciana T, Arcoleo G, Arrigo I, Di Carlo P, Palermo M, Giammanco A.	Microorganisms	10.3390/microorganisms12050961	2024
Phylogeny	Legionella confirmation using real-time PCR and SYTO9 is an alternative to current methodology.	Giglio S, Monis PT, Saint CP.	Appl Environ Microbiol	10.1128/aem.71.12.8944-8948.2005	2005
Enzymology	The first clinical isolate of Legionella parisiensis, from a liver transplant patient with pneumonia.	Lo Presti F, Riffard S, Vandenesch F, Reyrolle M, Ronco E, Ichai P, Etienne J.	J Clin Microbiol	10.1128/jcm.35.7.1706-1709.1997	1997
Biotechnology	Detection of Salmonella spp. in oysters by PCR.	Bej AK, Mahbubani MH, Boyce MJ, Atlas RM.	Appl Environ Microbiol	10.1128/aem.60.1.368-373.1994	1994
Enzymology	Rapid method for enumeration of viable Legionella pneumophila and other Legionella spp. in water.	Delgado-Viscogliosi P, Simonart T, Parent V, Marchand G, Dobbelaere M, Pierlot E, Pierzo V, Menard-Szczebara F, Gaudard-Ferveur E, Delabre K, Delattre JM.	Appl Environ Microbiol	10.1128/aem.71.7.4086-4096.2005	2005
Metabolism	Legionella shows a diverse secondary metabolism dependent on a broad spectrum Sfp-type phosphopantetheinyl transferase.	Tobias NJ, Ahrendt T, Schell U, Miltenberger M, Hilbi H, Bode HB	PeerJ	10.7717/peerj.2720	2016
Phylogeny	Characterization of a Novel Species of Legionella Isolated from a Healthcare Facility: Legionella resiliens sp. nov.	Cristino S, Pascale MR, Marino F, Derelitto C, Salaris S, Orsini M, Squarzoni S, Grottola A, Girolamini L.	Pathogens	10.3390/pathogens13030250	2024

References

#7974	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19216
#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 )
#34425	; Curators of the CIP;
#49706	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 29670
#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;
#68382	Automatically annotated from API zym .
#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 .
#121598	Collection of Institut Pasteur ; Curators of the CIP; CIP 103847
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Legionella parisiensis (DSM 19216, ATCC 35299, CCUG 29670)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Enzymes

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900461585

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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