Thermoclostridium stercorarium subsp. leptospartum (DSM 9219, ATCC 51338, IAM 13499)

Name: Thermoclostridium stercorarium subsp. leptospartum (DSM 9219, ATCC 51338, IAM 13499)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2777

Type strain

Strain Designation C-17-70

Culture col. no. DSM 9219 ATCC 51338 IAM 13499 LMG 14474 C-17-70 1 more

NCBI tax ID(s) 1346611 160385

Special Collections DSMZ JCM

History DSMZ <- LMG; LMG 14474 <- IAM; IAM 13499 <- Y. Toda, University of Tokyo, Tokyo, Japan; C-17-70 JCM <-- IAM 13499 <-- Y. Toda C-17-70.

Links

Thermoclostridium stercorarium subsp. leptospartum C-17-70 is an anaerobe bacterium that was isolated from cattle manure.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 10824

LMG 14106,IAM 13499,LMG 14474,DSM 9219,ATCC 51338,JCM 9762

@ref 20215

Last LPSN update 2026-05-29 08:25:33

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Thermoclostridium

Species Thermoclostridium stercorarium subsp. leptospartum

Full scientific name Thermoclostridium stercorarium subsp. leptospartum (Toda et al. 1989) Zhang et al. 2018

Synonyms (2)

Thermobacteroides leptospartum
Clostridium stercorarium subsp. leptospartum

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3516	COPROTHERMOBACTER (CP) MEDIUM (DSMZ Medium 678)		Medium recipe at MediaDive	Name: COPROTHERMOBACTER (CP) MEDIUM (DSMZ Medium 678) Composition: NaHCO3 8.4 g/l Gelatine 3.0 g/l Yeast extract 2.0 g/l Trypticase peptone 2.0 g/l NH4Cl 1.0 g/l MgCl2 x 6 H2O 1.0 g/l Na2S x 9 H2O 0.5 g/l K2HPO4 x 3 H2O 0.4 g/l MgSO4 x 7 H2O 0.03 g/l Nitrilotriacetic acid 0.015 g/l NaCl 0.01 g/l MnSO4 x H2O 0.005 g/l ZnSO4 x 7 H2O 0.0018 g/l CoSO4 x 7 H2O 0.0018 g/l CaCl2 x 2 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Sodium resazurin 0.0005 g/l NiCl2 x 6 H2O 0.0003 g/l AlK(SO4)2 x 12 H2O 0.0002 g/l Na2MoO4 x 2 H2O 0.0001 g/l CuSO4 x 5 H2O 0.0001 g/l H3BO3 0.0001 g/l Na2WO4 x 2 H2O 4e-06 g/l Na2SeO3 x 5 H2O 3e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
3516	positive	growth	60
67770	positive	growth	60

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
3516	anaerobe
125438	anaerobe	93.511
125439	facultative anaerobe	96.185

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Bovinae (Cow, Cattle)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
3516	cattle manure	Japan	JPN	Asia
67770	Cattle manure

Taxonmaps

69479

Global distribution of 16S sequence AB572913 (>99% sequence identity) for Thermoclostridium stercorarium subclade from Microbeatlas

Aquatic Samples	584
Soil Samples	1258
Animal Samples	3737
Plant Samples	421
Total Samples	6000

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3516	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM169728v1 assembly for Thermoclostridium stercorarium subsp. leptospartum DSM 9219	complete	GCA_001697285	1346611.4	1346611	95.09

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
3516	Clostridium stercorarium subsp. leptospartum gene for 16S ribosomal RNA, partial sequence, strain: JCM 9762	AB572913	1494		160385

GC content

@ref	GC-content (mol%)	Method
3516	43	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: ASM169728v1 assembly for Thermoclostridium stercorarium subsp. leptospartum DSM 9219
BV-BRC: 1346611.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	96.19	no
125439	gram_stain	BacteriaNetⓘ	variable	73.43	no
125439	motility	BacteriaNetⓘ	yes	77.93	no
125439	spore_formation	BacteriaNetⓘ	yes	82.73	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Thermoclostridium stercorarium subsp. leptospartum DSM 9219 DSM 9219
NCBI: GCA_001697285.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	57.15	no
125438	anaerobic	anaerobicⓘ	yes	93.51	no
125438	aerobic	aerobicⓘ	no	97.22	yes
125438	spore-forming	spore-formingⓘ	yes	70.98	no
125438	thermophilic	thermophileⓘ	yes	72.34	yes
125438	flagellated	motile2+ⓘ	yes	75.92	no

Literature

References

#3516	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9219
#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) .
#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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