Legionella impletisoli (CCUG 55597, DSM 18493, JCM 13919)

Name: Legionella impletisoli (CCUG 55597, DSM 18493, JCM 13919)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6737

Type strain

Strain Designation OA1-1

Culture col. no. CCUG 55597 DSM 18493 JCM 13919 OA1-1

NCBI tax ID(s) 343510

Special Collections DSMZ CCUG JCM

History <- H. Miyamoto; OA1-1 H. Miyamoto OA1-1.

Links

Legionella impletisoli OA1-1 is a mesophilic prokaryote that was isolated from soil contaminated with industrial wastes.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 309537

DSM 18493,JCM 13919,CCUG 55597

@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 impletisoli

Full scientific name Legionella impletisoli Kuroki et al. 2007

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	97
125438	negative	98.125

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7561	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)	Range
7561	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.2

Spore formation

@ref	Spore formation	Confidence
125439		98
125438		90.967

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Contamination	-
#Engineered	#Waste	#Industrial waste
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7561	soil contaminated with industrial wastes	Osaka	Japan	JPN	Asia
60663	Landfill		Japan	JPN	Asia
67770	Soil

Taxonmaps

69479

Global distribution of 16S sequence AB233209 (>99% sequence identity) for Legionella from Microbeatlas

Aquatic Samples	9
Soil Samples	8
Animal Samples	2
Plant Samples
Total Samples	19

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7561	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
67770	Leg_impletisoli_OA1-1.v1 assembly for Legionella impletisoli OA1-1	contig	GCA_900639875	343510.3	2980206147	343510	74.03
66792	ASM1464685v1 assembly for Legionella impletisoli JCM 13919	scaffold	GCA_014646855	343510.4	8112169934	343510	73.43

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Legionella impletisoli strain MDC1581 16S ribosomal RNA gene, partial sequence	JF720363	524		343510
67770	Legionella impletisoli gene for 16S rRNA, partial sequence, strain: OA1-1	AB233209	1494		343510

GC content

@ref	GC-content (mol%)	Method
7561	40.5
67770	40.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Legionella impletisoli JCM 13919
NCBI: GCA_014646855

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.00	no
125439	motility	BacteriaNetⓘ	no	53.80	no
125439	gram_stain	BacteriaNetⓘ	negative	97.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Legionella impletisoli JCM 13919
NCBI: GCA_014646855.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.13	no
125438	anaerobic	anaerobicⓘ	no	95.18	no
125438	aerobic	aerobicⓘ	no	69.40	no
125438	spore-forming	spore-formingⓘ	no	90.97	no
125438	thermophilic	thermophileⓘ	no	95.82	yes
125438	flagellated	motile2+ⓘ	no	68.93	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Legionella impletisoli sp. nov. and Legionella yabuuchiae sp. nov., isolated from soils contaminated with industrial wastes in Japan.	Kuroki H, Miyamoto H, Fukuda K, Iihara H, Kawamura Y, Ogawa M, Wang Y, Ezaki T, Taniguchi H	Syst Appl Microbiol	10.1016/j.syapm.2006.11.005	2007

References

#7561	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18493
#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 )
#60663	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55597
#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;
#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 .
#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 impletisoli (CCUG 55597, DSM 18493, JCM 13919)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900639875

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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