Otoolea muris (DSM 111138, CLA-AA-M04, SCD101-BHI5-F9)

Name: Otoolea muris (DSM 111138, CLA-AA-M04, SCD101-BHI5-F9)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169663

Type strain

Strain Designation CLA-AA-M04, SCD101-BHI5-F9

Culture col. no. DSM 111138 CLA-AA-M04 SCD101-BHI5-F9 JCM 36054

NCBI tax ID(s) 2941515

Special Collections Mouse-Microbiome 2 DSMZ DZIF

Links

Otoolea muris CLA-AA-M04 is a mesophilic prokaryote that was isolated from caecal content; SPF, female, C57BL/6J mouse.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 401198

JCM 36054,DSM 111138

@ref 20215

Last LPSN update 2025-12-16 10:10:38

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Otoolea

Species Otoolea muris

Full scientific name Otoolea muris Afrizal et al. 2023

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69004	BHI MEDIUM (DSMZ Medium 215)		Medium recipe at MediaDive	Name: BHI MEDIUM (DSMZ Medium 215) Composition: Brain heart infusion 37.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
69004	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	99.7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69004	caecal content; SPF, female, C57BL/6J mouse	Aachen	Germany	DEU	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Lachnospiraceae_gen_nov1_DSM111138 assembly for Otoolea muris DSM 111138	contig	GCA_943193115	2941515.3	8045730353	2941515	42.27

Genome browser: GCA_943193115

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Otoolea muris DSM 111138
NCBI: GCA_943193115

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	70.80	no
125439	motility	BacteriaNetⓘ	yes	72.30	no
125439	gram_stain	BacteriaNetⓘ	positive	65.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Otoolea sp. DSM 111138 Lachnospiraceae_gen_nov1_DSM111138
NCBI: GCA_943193115.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	aerobic	aerobicⓘ	no	91.14	no
125438	gram-positive	gram-positiveⓘ	yes	65.01	no
125438	anaerobic	anaerobicⓘ	yes	85.09	no
125438	spore-forming	spore-formingⓘ	yes	58.67	no
125438	thermophilic	thermophileⓘ	no	89.16	no
125438	flagellated	motile2+ⓘ	yes	72.04	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 )
#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) .
#69004	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 111138
#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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