Eubacterium ruminantium (ATCC 17233, DSM 20704)

Name: Eubacterium ruminantium (ATCC 17233, DSM 20704)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169037

Type strain

Culture col. no. ATCC 17233 DSM 20704

NCBI tax ID(s) 42322

Special Collections DSMZ

Links

Eubacterium ruminantium ATCC 17233 is a bacterium of the family Eubacteriaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 36649

ATCC 17233,DSM 20704

@ref 20215

Last LPSN update 2026-05-29 08:46:31

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Eubacteriaceae

Genus Eubacterium

Species Eubacterium ruminantium

Full scientific name Eubacterium ruminantium Bryant 1959 (Approved Lists 1980)

BacDive ID	Other strains from **Eubacterium ruminantium** (2)	Type strain
174390	E. ruminantium HUN269, DSM 117467
174391	E. ruminantium 2388, DSM 117948

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	97.697

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence AB008552 (>99% sequence identity) for Eubacterium ruminantium subclade from Microbeatlas

Aquatic Samples	1
Soil Samples	8
Animal Samples	700
Plant Samples	15
Total Samples	724

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	IMG-taxon 2585428142 annotated assembly for Eubacterium ruminantium ATCC 17233	scaffold	GCA_900167085	42322.7	2585428142	42322	68.8

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Eubacterium ruminantium gene for 16S rRNA, partial sequence	AB008552	1508		42322

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2585428142 annotated assembly for Eubacterium ruminantium ATCC 17233
NCBI: GCA_900167085

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	58.03	no
125439	motility	BacteriaNetⓘ	yes	68.53	no
125439	gram_stain	BacteriaNetⓘ	positive	48.25	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	97.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Eubacterium ruminantium ATCC 17233
NCBI: GCA_900167085.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	79.34	no
125438	anaerobic	anaerobicⓘ	yes	83.71	no
125438	aerobic	aerobicⓘ	no	94.33	no
125438	spore-forming	spore-formingⓘ	no	65.12	no
125438	thermophilic	thermophileⓘ	no	89.16	no
125438	flagellated	motile2+ⓘ	no	78.07	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft genome sequences of three ruminant-associated Eubacteriales: Eubacterium ruminantium ATCC 17233^T, Eubacterium uniforme ATCC 35992^T, and Lacrimispora xylanisolvens DSM 3808^T.	Lotito-Yde R, Phea H, Sachdeva C, Pukall R, Reddy TBK, Woyke T, Seshadri R, Escobar M.	Microbiol Resour Announc	10.1128/mra.00649-25	2025
Metabolism	Identification of bacteriocin-like inhibitors from rumen Streptococcus spp. and isolation and characterization of bovicin 255.	Whitford MF, McPherson MA, Forster RJ, Teather RM.	Appl Environ Microbiol	10.1128/aem.67.2.569-574.2001	2001

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) .
#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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Eubacterium ruminantium (ATCC 17233, DSM 20704)

Name and taxonomic classification

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900167085

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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