Legionella steigerwaltii (DSM 23076, ATCC 35302, CCUG 29674)

Name: Legionella steigerwaltii (DSM 23076, ATCC 35302, CCUG 29674)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6753

Type strain

Strain Designation SC-18-C9

Culture col. no. DSM 23076 ATCC 35302 CCUG 29674 CCUG 56441 CIP 103851 3 more

NCBI tax ID(s) 460

Special Collections DSMZ CCUG JCM CIP

History <- CIP <- F. Benson, CDC; SC-18-C9 <- G. W. Gorman CIP <- 1993, R.F. Benson, CDC, Atlanta, Georgia, USA: strain SC-18-C9

Links

Legionella steigerwaltii SC-18-C9 is a microaerophile, Gram-negative, rod-shaped bacterium that was isolated from tap water.

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

Name and taxonomic classification

SI-ID 105415

ATCC 35302,NCTC 11991,CCUG 29674,CIP 103851,JCM 7558,CCUG 56441,DSM 23076

@ref 20215

Last LPSN update 2026-02-09 11:19:18

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Legionellales

Family Legionellaceae

Genus Legionella

Species Legionella steigerwaltii

Full scientific name Legionella steigerwaltii Brenner et al. 1985

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
123303	negative	rod-shaped
125438	negative		99.479
125439	negative		99.6

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16693	BCYE-AGAR (DSMZ Medium 585)		Medium recipe at MediaDive	Name: BCYE AGAR (DSMZ Medium 585) Composition: OXOID Legionella CYE-Agar base
123303	CIP Medium 23		Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
16693	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
16693	microaerophile
125439	obligate aerobe	98.4

Spore formation

@ref	Spore formation	Confidence
125439		99.4

Enzymes

@ref	Value	Activity	Ec
16693	catalase	+	1.11.1.6
16693	cytochrome-c oxidase	-	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Freshwater
#Engineered	#Built environment	#Water reservoir (Aquarium/pool)
#Engineered	#Built environment	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Sampling date
16693	tap water	Saint-Croix	Virgin Islands (U.S.)	VIR	Middle and South America
60959	Tap water	Virgin Islands,Saint-Croix				1982
123303	Other, Tap water	Saint Croix, Virgin Islands	United States of America	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence Z49737 (>99% sequence identity) for Legionella steigerwaltii subclade from Microbeatlas

Aquatic Samples	16
Soil Samples	14
Animal Samples	1
Plant Samples	2
Total Samples	33

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
16693	yes, in single cases	1	Risk group (German classification) According to TRBA 466
123303		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
66792	50592_D01 assembly for Legionella steigerwaltii NCTC11991	contig	GCA_900452835	460.6	2985794481	460	78.13
66792	ASM146806v1 assembly for Legionella steigerwaltii SC-18-C9	scaffold	GCA_001468065	460.5	2660238143	460	67.54
66792	Leg_steigerwaltii_SC-18-C9.v1 assembly for Legionella steigerwaltii SC-18-C9	contig	GCA_900640025	460.7	8005473799	460	64.54

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Legionella steigerwaltii strain MDC1618 16S ribosomal RNA gene, partial sequence	JF720405	524	460
20218	L.steigerwaltii (ATCC 35302) gene for 16S rRNA	X73400	1467	460
16693	L.steigerwaltii gene for ribosomal RNA, small subunit	Z49737	1435	460

GC content

16693

GC-content (mol%)40.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Legionella steigerwaltii SC-18-C9
NCBI: GCA_001468065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.40	no
125439	motility	BacteriaNetⓘ	yes	51.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Legionella steigerwaltii SC-18-C9
NCBI: GCA_001468065.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.48	no
125438	anaerobic	anaerobicⓘ	no	95.49	yes
125438	aerobic	aerobicⓘ	no	71.09	no
125438	spore-forming	spore-formingⓘ	no	89.91	no
125438	thermophilic	thermophileⓘ	no	99.00	yes
125438	flagellated	motile2+ⓘ	yes	65.48	no

Literature

Topic	Title	Authors	Journal	DOI	Year
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	Rapid identification of legionellae by a colony blot assay based on a genus-specific monoclonal antibody.	Steinmetz I, Rheinheimer C, Bitter-Suermann D.	J Clin Microbiol	10.1128/jcm.30.4.1016-1018.1992	1992
Metabolism	Lgt: a family of cytotoxic glucosyltransferases produced by Legionella pneumophila.	Belyi Y, Tabakova I, Stahl M, Aktories K.	J Bacteriol	10.1128/jb.01798-07	2008

References

#16693	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23076
#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 )
#60959	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 56441
#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) .
#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 .
#123303	Collection of Institut Pasteur ; Curators of the CIP; CIP 103851
#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 steigerwaltii (DSM 23076, ATCC 35302, CCUG 29674)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900452835

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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