Legionella spiritensis (DSM 19324, ATCC 35249, CCUG 31118)

Name: Legionella spiritensis (DSM 19324, ATCC 35249, CCUG 31118)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6750

Type strain

Strain Designation MSH-9

Culture col. no. DSM 19324 ATCC 35249 CCUG 31118 JCM 7562 MSH-9

NCBI tax ID(s) 452

Special Collections DSMZ CCUG JCM

History DSMZ <- CCUG <- NCTC <- ATCC <- W. F. Bibb <- J. Campbell; MSH-9

Links

Legionella spiritensis MSH-9 is a microaerophile bacterium that was isolated from lake water.

microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 92971

ATCC 35249,CIP 103850,NCTC 11990,CCUG 29715,CCUG 31118,JCM 7562,DSM 19324

@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 spiritensis

Full scientific name Legionella spiritensis Brenner et al. 1985

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	99.204

Colony morphology

8039

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8039	BCYE-AGAR (DSMZ Medium 585)		Medium recipe at MediaDive	Name: BCYE AGAR (DSMZ Medium 585) Composition: OXOID Legionella CYE-Agar base

Culture temp

@ref	Growth	Type	Temperature (°C)
8039	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8039	microaerophile
125439	aerobe	91.632

Spore formation

@ref	Spore formation	Confidence
125439		99.847

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68377	15824 ChEBI	D-fructose	-	builds acid from	from API NH
68377	27897 ChEBI	tryptophan	-	energy source	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	lipase	+		from API NH
68377	tryptophan deaminase	-	4.1.99.1	from API NH

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	adipate degradation	100	2 of 2
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	ethanol fermentation	100	2 of 2
66794	octane oxidation	100	3 of 3
66794	acetoin degradation	100	3 of 3
66794	ubiquinone biosynthesis	100	7 of 7
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	Entner Doudoroff pathway	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	leucine metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	hydrogen production	80	4 of 5
66794	threonine metabolism	80	8 of 10
66794	purine metabolism	79.79	75 of 94
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	alanine metabolism	75.86	22 of 29
66794	pyrimidine metabolism	75.56	34 of 45
66794	sulfopterin metabolism	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	proline metabolism	72.73	8 of 11
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	photosynthesis	71.43	10 of 14
66794	lipid metabolism	70.97	22 of 31
66794	glycolysis	70.59	12 of 17
66794	vitamin B1 metabolism	69.23	9 of 13
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	d-mannose degradation	66.67	6 of 9
66794	lysine metabolism	66.67	28 of 42
66794	(5R)-carbapenem carboxylate biosynthesis	66.67	2 of 3
66794	glutathione metabolism	64.29	9 of 14
66794	heme metabolism	64.29	9 of 14
66794	vitamin B6 metabolism	63.64	7 of 11
66794	gluconeogenesis	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	histidine metabolism	62.07	18 of 29
66794	polyamine pathway	60.87	14 of 23
66794	methylglyoxal degradation	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	propionate fermentation	60	6 of 10
66794	non-pathway related	57.89	22 of 38
66794	propanol degradation	57.14	4 of 7
66794	citric acid cycle	57.14	8 of 14
66794	tyrosine metabolism	57.14	8 of 14
66794	serine metabolism	55.56	5 of 9
66794	tryptophan metabolism	55.26	21 of 38
66794	pentose phosphate pathway	54.55	6 of 11
66794	arginine metabolism	54.17	13 of 24
66794	urea cycle	53.85	7 of 13
66794	phenylmercury acetate degradation	50	1 of 2
66794	kanosamine biosynthesis II	50	1 of 2
66794	degradation of sugar alcohols	50	8 of 16
66794	cysteine metabolism	50	9 of 18
66794	ascorbate metabolism	50	11 of 22
66794	quinate degradation	50	1 of 2
66794	ketogluconate metabolism	50	4 of 8
66794	cyclohexanol degradation	50	2 of 4
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	3-phenylpropionate degradation	46.67	7 of 15
66794	oxidative phosphorylation	45.05	41 of 91
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	methionine metabolism	42.31	11 of 26
66794	bile acid biosynthesis, neutral pathway	41.18	7 of 17
66794	myo-inositol biosynthesis	40	4 of 10
66794	glycine metabolism	40	4 of 10
66794	lipoate biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	3-chlorocatechol degradation	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	isoleucine metabolism	37.5	3 of 8
66794	isoprenoid biosynthesis	34.62	9 of 26
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	pantothenate biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	methane metabolism	33.33	1 of 3
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	mevalonate metabolism	28.57	2 of 7
66794	degradation of pentoses	28.57	8 of 28
66794	arachidonic acid metabolism	27.78	5 of 18
66794	degradation of hexoses	27.78	5 of 18
66794	metabolism of disaccharids	27.27	3 of 11
66794	cholesterol biosynthesis	27.27	3 of 11
66794	d-xylose degradation	27.27	3 of 11
66794	carnitine metabolism	25	2 of 8
66794	catecholamine biosynthesis	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	glycogen biosynthesis	25	1 of 4
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	vitamin E metabolism	25	1 of 4
66794	phenol degradation	25	5 of 20
66794	toluene degradation	25	1 of 4
66794	sulfate reduction	23.08	3 of 13
66794	nitrate assimilation	22.22	2 of 9
66794	chlorophyll metabolism	22.22	4 of 18

API NH

@ref	PEN	GLU	FRU	MAL	SAC	ODC	URE	LIP	PAL	beta GAL	ProA	GGT	IND
8039	+/-	-	-	+/-	+	-	+	+	-	+	+	-	-
8039	+/-	-	-	-	+	-	+	+	-	-	+	-	-
8039	-	+/-	-	-	+/-	+	-	+	+	-	+	+	-
8039	-	+/-	-	-	-	+	-	+	+	-	-	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Lake (large)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
8039	lake water	Spirit Lake, Mt St. Helens	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence HF558375 (>99% sequence identity) for Legionella spiritensis subclade from Microbeatlas

Aquatic Samples	386
Soil Samples	385
Animal Samples	97
Plant Samples	29
Total Samples	897

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8039	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM146816v1 assembly for Legionella spiritensis Mt.St.Helens-9	scaffold	GCA_001468165	452.5	2681813200	452	63.84

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Legionella spiritensis partial 16S rRNA gene, strain Bibb HSH-9	HF558375	1516		452
8039	Legionella spiritensis gene for 16S ribosomal RNA, partial sequence	AB211171	474		452

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM146816v1 assembly for Legionella spiritensis Mt.St.Helens-9
NCBI: GCA_001468165

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	91.63	no
125439	gram_stain	BacteriaNetⓘ	negative	99.20	no
125439	motility	BacteriaNetⓘ	yes	69.17	no
125439	spore_formation	BacteriaNetⓘ	no	99.85	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Legionella spiritensis strain Mt.St.Helens-9
PATRIC: 452.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	97.35	yes
125438	spore-forming	spore-formingⓘ	no	88.97	no
125438	aerobic	aerobicⓘ	no	71.68	yes
125438	thermophilic	thermophileⓘ	no	93.49	yes
125438	flagellated	motile2+ⓘ	no	58.83	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation of MICA Legionella for Enumeration of Legionella pneumophila in Sanitary Waters and Cooling Tower Waters: AOAC Performance Tested MethodSM 032201.	Passot F, Peslier S, Benzinger MJ, Blackburn J, Thompson W, Bastin B, Dumont A, Dukan S.	J AOAC Int	10.1093/jaoacint/qsac150	2023
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
Phylogeny	Isolation of Legionella oakridgensis from two patients with pleural effusion living in the same geographical area.	Lo Presti F, Riffard S, Jarraud S, Le Gallou F, Richet H, Vandenesch F, Etienne J.	J Clin Microbiol	10.1128/jcm.38.8.3128-3130.2000	2000
Metabolism	Targeting species-specific low-affinity 16S rRNA binding sites by using peptide nucleic acids for detection of Legionellae in biofilms.	Wilks SA, Keevil CW.	Appl Environ Microbiol	10.1128/aem.02918-05	2006

References

#8039	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19324
#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 )
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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 .
#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 spiritensis (DSM 19324, ATCC 35249, CCUG 31118)

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

Pathway annotation

API NH

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001468165

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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