Spirosoma taeanense (KCTC 72898, JCM 34024, TS118)

Name: Spirosoma taeanense (KCTC 72898, JCM 34024, TS118)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167650

Type strain

Strain Designation TS118

Culture col. no. KCTC 72898 JCM 34024 TS118

NCBI tax ID(s) 2735870

Special Collections JCM KCTC

Links

Spirosoma taeanense TS118 is a bacterium of the family Spirosomataceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 286564

KCTC 72898,JCM 34024

@ref 20215

Last LPSN update 2026-05-29 08:46:11

Domain Bacteria

Phylum Bacteroidota

Class Cytophagia

Order Cytophagales

Family Spirosomataceae

Genus Spirosoma

Species Spirosoma taeanense

Full scientific name Spirosoma taeanense Lee et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97.931
125439	negative	98.74

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.248

Spore formation

@ref	Spore formation	Confidence
125439		98.601

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1312795v1 assembly for Spirosoma taeanense TS118	complete	GCA_013127955	2735870.3	2911125207	2735870	93.62

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Spirosoma taeanense strain TS118 16S ribosomal RNA gene, partial sequence	MN911322	1442		2735870

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1312795v1 assembly for Spirosoma taeanense TS118
NCBI: GCA_013127955

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	40.72	no
125439	gram_stain	BacteriaNetⓘ	negative	98.74	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.25	no
125439	spore_formation	BacteriaNetⓘ	no	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Spirosoma taeanense TS118
NCBI: GCA_013127955.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.93	no
125438	anaerobic	anaerobicⓘ	no	95.20	no
125438	aerobic	aerobicⓘ	yes	87.26	no
125438	spore-forming	spore-formingⓘ	no	85.42	no
125438	thermophilic	thermophileⓘ	no	94.97	no
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Spirosoma taeanense sp. nov., a radiation resistant bacterium isolated from a coastal sand dune.	Lee JH, Jung JH, Kim MK, Choe HN, Seong CN, Lim S	Antonie Van Leeuwenhoek	10.1007/s10482-020-01508-0	2021

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) .
#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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Spirosoma taeanense (KCTC 72898, JCM 34024, TS118)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_013127955

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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