Leptospira selangorensis (KIT0260, SSW17, CIP 111754)

Name: Leptospira selangorensis (KIT0260, SSW17, CIP 111754)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167264

Type strain

Strain Designation SSW17

Culture col. no. KIT0260 SSW17 CIP 111754 DSM 108340 SSW 17 2 more

NCBI tax ID(s) 2484982

Special Collections CIP DSMZ

Links

Leptospira selangorensis SSW17 is a prokaryote that was isolated from Environment, Water.

genome sequence

Name and taxonomic classification

SI-ID 413457

DSM 108340,CIP 111754

@ref 20215

Last LPSN update 2025-12-16 10:10:03

Domain Pseudomonadati

Phylum Spirochaetota

Class Spirochaetia

Order Leptospirales

Family Leptospiraceae

Genus Leptospira

Species Leptospira selangorensis

Full scientific name Leptospira selangorensis Vincent et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	91.345
125439	negative	99.9

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
125248	LEPTOSPIRA-MEDIUM (DSMZ Medium 1113)		Medium recipe at MediaDive	Name: LEPTOSPIRA-MEDIUM (DSMZ Medium 1113) Composition: Leptospira Medium Base EMJH 2.3 g/l Agarose 1.5 g/l Water Leptospira Enrichment EMJH

Culture temp

@ref	Growth	Type	Temperature (°C)
125248	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.2

Spore formation

@ref	Spore formation	Confidence
125439		99.2

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Isolation date
122553	Environment, Water	Sungai Congkak	Malaysia	MYS	Asia			2016-12-01
125248	water	Sungai Congkak	Malaysia	MYS	Asia	3.2091	101.843 3.2091/101.843

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
122553	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM476940v1 assembly for Leptospira selangorensis SSW17	contig	GCA_004769405	2484982.4	2968477452	2484982	64.24

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Leptospira selangorensis SSW17
NCBI: GCA_004769405

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.20	no
125439	motility	BacteriaNetⓘ	no	77.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	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: Leptospira selangorensis SSW17
NCBI: GCA_004769405.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	91.35	no
125438	anaerobic	anaerobicⓘ	no	89.21	no
125438	aerobic	aerobicⓘ	yes	81.89	no
125438	spore-forming	spore-formingⓘ	no	86.00	no
125438	thermophilic	thermophileⓘ	no	88.87	no
125438	flagellated	motile2+ⓘ	yes	52.95	no

Literature

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 )
#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) .
#122553	Collection of Institut Pasteur ; Curators of the CIP; CIP 111754
#125248	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108340
#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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