Thermoclostridium stercorarium subsp. stercorarium (DSM 8532, ATCC 35414, NCIMB 11754)

Name: Thermoclostridium stercorarium subsp. stercorarium (DSM 8532, ATCC 35414, NCIMB 11754)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2773

Type strain

Culture col. no. DSM 8532 ATCC 35414 NCIMB 11754

NCBI tax ID(s) 1121335 1510 160845

Special Collections DSMZ

History <- ATCC <- NCIMB <- R. H. Madden

Links

Thermoclostridium stercorarium subsp. stercorarium DSM 8532 is an anaerobe bacterium that was isolated from compost heap.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 41063

ATCC 35414,NCIB 11754,DSM 8532,NCIMB 11754,BCRC 14493,CCRC 14493

@ref 20215

Last LPSN update 2026-02-09 11:18:21

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Thermoclostridium

Species Thermoclostridium stercorarium subsp. stercorarium

Full scientific name Thermoclostridium stercorarium subsp. stercorarium (Madden 1983) Zhang et al. 2018

Synonyms (1)

Clostridium stercorarium subsp. stercorarium

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3229	CLOSTRIDIUM (GS) MEDIUM (DSMZ Medium 255)		Medium recipe at MediaDive	Name: CLOSTRIDIUM (GS) MEDIUM (DSMZ Medium 255) Composition: Morpholinopropane sulfonic acid 9.98004 g/l Yeast extract 5.98802 g/l Cellobiose 4.99002 g/l Urea 1.99601 g/l L-Cysteine HCl x H2O 0.998004 g/l K2HPO4 x 3 H2O 0.998004 g/l KH2PO4 0.499002 g/l MgCl2 x 6 H2O 0.499002 g/l CaCl2 x 2 H2O 0.0499002 g/l FeSO4 x 7 H2O 0.0012475 g/l Sodium resazurin 0.000499002 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
3229	positive	growth	60

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
3229	anaerobe
125438	anaerobe	92.977

Compound production

@ref	Compound
3229	xylanase
3229	exogluconase
3229	endoglucanase

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Biodegradation	#Composting

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
3229	compost heap	Aberdeenshire	United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence AJ310082 (>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
3229	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
66792	ASM34988v2 assembly for Thermoclostridium stercorarium subsp. stercorarium DSM 8532	complete	GCA_000349885	1121335.11	2540341047	1121335	96.48
66792	ASM33199v1 assembly for Thermoclostridium stercorarium subsp. stercorarium DSM 8532	complete	GCA_000331995	1121335.3	2522125167	1121335	96.44

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Clostridium stercorarium subsp. leptospartum 16S ribosomal RNA gene, partial sequence	AF266461	1518	160385
20218	Clostridium stercorarium (NCIMB 11754) 16S ribosomal RNA (16S rRNA) gene	L09174	1519	1510
3229	Clostridium stercorarium 16S rRNA gene, strain DSM 8532T	AJ310082	1500	1510

GC content

@ref	GC-content (mol%)	Method
3229	39	thermal denaturation, midpoint method (Tm)
3229	42.2	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Thermoclostridium stercorarium subsp. stercorarium DSM 8532
NCBI: GCA_000331995

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	89.20	no
125439	gram_stain	BacteriaNetⓘ	variable	88.20	no
125439	motility	BacteriaNetⓘ	yes	87.40	no
125439	spore_formation	BacteriaNetⓘ	yes	88.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Thermoclostridium stercorarium subsp. stercorarium DSM 8532 DSM 8532
NCBI: GCA_000331995.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	60.23	no
125438	anaerobic	anaerobicⓘ	yes	92.98	yes
125438	aerobic	aerobicⓘ	no	97.69	yes
125438	spore-forming	spore-formingⓘ	yes	69.87	no
125438	thermophilic	thermophileⓘ	yes	70.69	no
125438	flagellated	motile2+ⓘ	yes	75.42	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Metagenomic analysis of soybean endosphere microbiome to reveal signatures of microbes for health and disease.	Chouhan U, Gamad U, Choudhari JK.	J Genet Eng Biotechnol	10.1186/s43141-023-00535-4	2023
	Complete Genome Sequence of Clostridium stercorarium subsp. stercorarium Strain DSM 8532, a Thermophilic Degrader of Plant Cell Wall Fibers.	Poehlein A, Zverlov VV, Daniel R, Schwarz WH, Liebl W.	Genome Announc	10.1128/genomea.00073-13	2013
Genetics	Metagenome SNP calling via read-colored de Bruijn graphs.	Alipanahi B, Muggli MD, Jundi M, Noyes NR, Boucher C.	Bioinformatics	10.1093/bioinformatics/btaa081	2021
Proteome	The hemicellulose-degrading enzyme system of the thermophilic bacterium Clostridium stercorarium: comparative characterisation and addition of new hemicellulolytic glycoside hydrolases.	Broeker J, Mechelke M, Baudrexl M, Mennerich D, Hornburg D, Mann M, Schwarz WH, Liebl W, Zverlov VV.	Biotechnol Biofuels	10.1186/s13068-018-1228-3	2018
Metabolism	Distribution and preservation of the components of the engulfment. What is beyond representative genomes?	Soto-Avila L, Merce RC, Santos W, Castaneda N, Gutierrez-Rios RM.	PLoS One	10.1371/journal.pone.0246651	2021
Phylogeny	High phylogenetic diversity of glycosyl hydrolase family 10 and 11 xylanases in the sediment of Lake Dabusu in China.	Wang G, Huang X, Ng TB, Lin J, Ye XY.	PLoS One	10.1371/journal.pone.0112798	2014
	Synergy of Cellulase Systems between Acetivibrio thermocellus and Thermoclostridium stercorarium in Consolidated-Bioprocessing for Cellulosic Ethanol.	Wang N, Yan Z, Liu N, Zhang X, Xu C.	Microorganisms	10.3390/microorganisms10030502	2022
	L-rhamnose isomerase: a crucial enzyme for rhamnose catabolism and conversion of rare sugars.	Yoshida H, Izumori K, Yoshihara A.	Appl Microbiol Biotechnol	10.1007/s00253-024-13325-w	2024
Enzymology	Biochemical characterisation of four rhamnosidases from thermophilic bacteria of the genera Thermotoga, Caldicellulosiruptor and Thermoclostridium.	Baudrexl M, Schwarz WH, Zverlov VV, Liebl W	Sci Rep	10.1038/s41598-019-52251-0	2019
Metabolism	Clostridium clariflavum sp. nov. and Clostridium caenicola sp. nov., moderately thermophilic, cellulose-/cellobiose-digesting bacteria isolated from methanogenic sludge.	Shiratori H, Sasaya K, Ohiwa H, Ikeno H, Ayame S, Kataoka N, Miya A, Beppu T, Ueda K.	Int J Syst Evol Microbiol	10.1099/ijs.0.003483-0	2009

References

#3229	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 8532
#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 )
#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 .
#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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Thermoclostridium stercorarium subsp. stercorarium (DSM 8532, ATCC 35414, NCIMB 11754)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Compound production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000349885

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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