Clostridium thermoaceticum (DSM 12993, PT-1)

Name: Clostridium thermoaceticum (DSM 12993, PT-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 16816

Type strain

Strain Designation PT-1

Culture col. no. DSM 12993 PT-1

NCBI tax ID(s) 1525

Special Collections DSMZ

History DSMZ <- A. Gößner, University of Bayreuth, Department of Ecological Microbiology, Bayreuth, Germany; PT-1 <- A. Gößner; {1996}

Links

Clostridium thermoaceticum PT-1 is an anaerobe bacterium that was isolated from prairie soil.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 403443

DSM 12993

@ref 20215

Last LPSN update 2026-05-29 08:28:52

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Clostridiaceae

Genus Clostridium

Species Clostridium thermoaceticum

Full scientific name Clostridium thermoaceticum Fontaine et al. 1942 (Approved Lists 1980)

Synonyms (6)

Clostridium thermaceticum
Moorella thermoacetica
Neomoorella thermoacetica
Clostridium thermoautotrophicum
Moorella thermoautotrophica
Clostridium thermautotrophicum

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
4871	SPOROMUSA ACIDOVORANS MEDIUM (DSMZ Medium 311c)		Medium recipe at MediaDive	Name: SPOROMUSA ACIDOVORANS MEDIUM (DSMZ Medium 311c) Composition: D-Fructose 4.97512 g/l NaCl 2.23881 g/l Yeast extract 1.99005 g/l Casitone 1.99005 g/l Na2CO3 0.995025 g/l MgSO4 x 7 H2O 0.497512 g/l NH4Cl 0.497512 g/l K2HPO4 0.348259 g/l Na2S x 9 H2O 0.298507 g/l L-Cysteine HCl x H2O 0.298507 g/l CaCl2 x 2 H2O 0.248756 g/l KH2PO4 0.228856 g/l HCl 0.00248756 g/l FeSO4 x 7 H2O 0.00199005 g/l FeCl2 x 4 H2O 0.00149254 g/l NaOH 0.000497512 g/l Sodium resazurin 0.000497512 g/l CoCl2 x 6 H2O 0.000189055 g/l Pyridoxine hydrochloride 9.95025e-05 g/l MnCl2 x 4 H2O 9.95025e-05 g/l ZnCl2 6.96517e-05 g/l p-Aminobenzoic acid 4.97512e-05 g/l Calcium D-(+)-pantothenate 4.97512e-05 g/l Nicotinic acid 4.97512e-05 g/l Riboflavin 4.97512e-05 g/l Thiamine HCl 4.97512e-05 g/l (DL)-alpha-Lipoic acid 4.97512e-05 g/l Na2MoO4 x 2 H2O 3.58209e-05 g/l NiCl2 x 6 H2O 2.38806e-05 g/l Biotin 1.99005e-05 g/l Folic acid 1.99005e-05 g/l H3BO3 5.97015e-06 g/l Na2WO4 x 2 H2O 3.9801e-06 g/l Na2SeO3 x 5 H2O 2.98507e-06 g/l CuCl2 x 2 H2O 1.99005e-06 g/l Vitamin B12 9.95025e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
4871	positive	growth	55

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
4871	anaerobe
125438	anaerobe	91.382
125439	anaerobe	99.265

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
4871	prairie soil	Kansas	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence AJ633105 (>99% sequence identity) for Moorella thermoacetica from Microbeatlas

Aquatic Samples	257
Soil Samples	87
Animal Samples	219
Plant Samples	32
Total Samples	595

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
4871	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	Moorella thermoacetica DSM 12993	complete			2596583676	1525	94.63
66792	ASM187524v1 assembly for Neomoorella thermoacetica DSM 12993	contig	GCA_001875245	1525.9	2703719212	1525	71.1

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
4871	Moorella thermoacetica partial 16S rRNA gene	AJ633105	1512		1525

GC content

4871

GC-content (mol%)56.2

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM187524v1 assembly for Neomoorella thermoacetica DSM 12993
NCBI: GCA_001875245

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.27	no
125439	gram_stain	BacteriaNetⓘ	negative	70.11	no
125439	motility	BacteriaNetⓘ	no	62.84	no
125439	spore_formation	BacteriaNetⓘ	no	84.38	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Moorella thermoacetica strain DSM 12993
PATRIC: 1525.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	56.40	no
125438	anaerobic	anaerobicⓘ	yes	91.38	yes
125438	spore-forming	spore-formingⓘ	yes	72.93	no
125438	aerobic	aerobicⓘ	no	91.43	yes
125438	thermophilic	thermophileⓘ	yes	77.05	yes
125438	flagellated	motile2+ⓘ	yes	67.33	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Thermophilic Moorella thermoacetica as a platform microorganism for C1 gas utilization: physiology, engineering, and applications.	Jia D, Deng W, Hu P, Jiang W, Gu Y.	Bioresour Bioprocess	10.1186/s40643-023-00682-z	2023
	Genome-Based Comparison of All Species of the Genus Moorella, and Status of the Species Moorella thermoacetica and Moorella thermoautotrophica.	Redl S, Poehlein A, Esser C, Bengelsdorf FR, Jensen TO, Jendresen CB, Tindall BJ, Daniel R, Durre P, Nielsen AT.	Front Microbiol	10.3389/fmicb.2019.03070	2019

References

#4871	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12993
#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) .
#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 )

Content

About us

Clostridium thermoaceticum (DSM 12993, PT-1)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001875245

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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