Cite this strain

Ruminococcus albus (8)

Name: Ruminococcus albus (8)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140663

Type strain

Strain Designation 8

Culture col. no. 8

NCBI tax ID(s) 1264

Special Collections Literature strains

Ruminococcus albus 8 is a bacterium of the family Oscillospiraceae.

genome sequence Bacteria

Name and taxonomic classification

Culture Collection Numbers

@ref 20215

Last LPSN update 2026-02-09 11:33:41

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Ruminococcus

Species Ruminococcus albus

Full scientific name Ruminococcus albus Hungate 1957 (Approved Lists 1980)

BacDive ID	Other strains from **Ruminococcus albus** (1)	Type strain
17682	R. albus 7, DSM 20455, ATCC 27210, JCM 14654 (type strain)

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	90.346
125439	anaerobe	93.2

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43407	62968 ChEBI	cellulose	+	degradation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM17815v2 assembly for Ruminococcus albus 8	contig	GCA_000178155	246199.4	2562617137	246199	37.79

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Ruminococcus albus 8
NCBI: GCA_000178155

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	73.90	no
125439	motility	BacteriaNetⓘ	no	59.60	no
125439	gram_stain	BacteriaNetⓘ	variable	70.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	93.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ruminococcus albus 8
PATRIC: 246199.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	63.30	no
125438	anaerobic	anaerobicⓘ	yes	90.35	no
125438	spore-forming	spore-formingⓘ	no	54.05	no
125438	thermophilic	thermophileⓘ	no	92.32	no
125438	aerobic	aerobicⓘ	no	95.83	no
125438	flagellated	motile2+ⓘ	no	55.05	no

Literature

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 )
#43407	Estelle Devillard, Dara B. Goodheart, Sanjay K. R. Karnati, Edward A. Bayer, Raphael Lamed, Joshua Miron, Karen E. Nelson and Mark Morrison: Ruminococcus albus 8 Mutants Defective in Cellulose Degradation Are Deficient in Two Processive Endocellulases, Cel48A and Cel9B, Both of Which Possess a Novel Modular Architecture. J. Bacteriol. 186: 136 - 145 2004 ( DOI 10.1128/JB.186.1.136-145.2004 , PubMed 14679233 )
#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) .
#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 .

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