Acetivibrio thermocellus (DSM 2360, LQR1, JCM 9323)

Name: Acetivibrio thermocellus (DSM 2360, LQR1, JCM 9323)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2730

Type strain

Strain Designation LQR1

Culture col. no. DSM 2360 LQR1 JCM 9323 ATCC 35609

NCBI tax ID(s) 572545 1515

Special Collections DSMZ JCM

Links

Acetivibrio thermocellus LQR1 is an anaerobe, thermophilic prokaryote that produces alcohol and was isolated from isolated from contaminated culture of Clostridium thermocellum, strain LQ8 .

alcohol production anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 41192

ATCC 35609,DSM 2360,JCM 9323

@ref 20215

Last LPSN update 2025-12-16 09:47:22

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Acetivibrio

Species Acetivibrio thermocellus

Full scientific name Acetivibrio thermocellus (Viljoen et al. 1926) Tindall 2019

Synonyms (3)

Clostridium thermocellum
"Ruminiclostridium thermocellum"
Hungateiclostridium thermocellum

BacDive ID	Other strains from **Acetivibrio thermocellus** (6)	Type strain
2729	A. thermocellus DSM 1237, ATCC 27405, JCM 9322, NCIMB 10682, ... (type strain)
2728	A. thermocellus LQ8, DSM 1313
2731	A. thermocellus JW 20, DSM 4150, ATCC 31549
22965	A. thermocellus YS, DSM 25991
22966	A. thermocellus AD2, DSM 25992
174402	A. thermocellus DSM 29190, BC 1

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1050	CLOSTRIDIUM (GS) MEDIUM (DSMZ Medium 255)		Medium recipe at MediaDive	Name: CLOSTRIDIUM (GS) MEDIUM (DSMZ Medium 255; with strain-specific modifications) Composition: Morpholinopropane sulfonic acid 9.98004 g/l Yeast extract 5.98802 g/l D-Glucose 4.99002 g/l Urea 1.99601 g/l K2HPO4 x 3 H2O 0.998004 g/l L-Cysteine HCl x 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)	Range
1050	positive	growth	60	thermophilic
67770	positive	growth	60	thermophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
1050	anaerobe
125438	anaerobe
125439	anaerobe

Compound production

@ref	Compound
1050	cellulase
1050	ethanol

Metabolite production

@ref	Chebi-ID	Metabolite	Production
67770	16236 ChEBI	ethanol

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Laboratory	#Contaminant
#Engineered	#Laboratory	#Lab enrichment
#Host	#Microbial	#Bacteria

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
1050	isolated from contaminated culture of Clostridium thermocellum, strain LQ8 (R.Y. Quinn)	Clostridium thermocellum	Iowa	USA	USA	North America
67770	Laboratory contamination

Taxonmaps

69479

Global distribution of 16S sequence AB588017 (>99% sequence identity) for Acetivibrio thermocellus subclade from Microbeatlas

Aquatic Samples	1005
Soil Samples	2753
Animal Samples	2787
Plant Samples	816
Total Samples	7361

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1050	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	ASM169275v1 assembly for Acetivibrio thermocellus DSM 2360 LQRI	complete	GCA_001692755	572545.4	2795385489	572545	97.92
66792	ASM17571v1 assembly for Acetivibrio thermocellus DSM 2360	contig	GCA_000175715	572545.3	645058753	572545

Genome browser: GCA_001692755

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Clostridium thermocellum gene for 16S ribosomal RNA, partial sequence, strain: JCM 9323	AB588017	1489		1515

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acetivibrio thermocellus DSM 2360 LQRI
NCBI: GCA_001692755

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	81.90	no
125439	motility	BacteriaNetⓘ	yes	81.30	no
125439	gram_stain	BacteriaNetⓘ	variable	79.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetivibrio thermocellus DSM 2360 LQRI
NCBI: GCA_001692755.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	57.41	no
125438	anaerobic	anaerobicⓘ	yes	95.24	yes
125438	aerobic	aerobicⓘ	no	97.94	yes
125438	spore-forming	spore-formingⓘ	yes	83.94	no
125438	thermophilic	thermophileⓘ	yes	68.06	yes
125438	flagellated	motile2+ⓘ	yes	77.71	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Electrically enhanced ethanol fermentation by Clostridium thermocellum and Saccharomyces cerevisiae.	Shin HS, Zeikus JG, Jain MK	Appl Microbiol Biotechnol	10.1007/s00253-001-0923-2	2002
Phylogeny	Hungateiclostridium mesophilum sp. nov., a mesophilic, cellulolytic and spore-forming bacterium isolated from a biogas fermenter fed with maize silage.	Rettenmaier R, Gerbaulet M, Liebl W, Zverlov VV	Int J Syst Evol Microbiol	10.1099/ijsem.0.003663	2019

References

#1050	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2360
#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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Acetivibrio thermocellus (DSM 2360, LQR1, JCM 9323)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Compound production

Metabolite production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001692755

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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