Caniella muris (DSM 110323, CLA-SR-94)

Name: Caniella muris (DSM 110323, CLA-SR-94)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169746

Type strain

Strain Designation CLA-SR-94

Culture col. no. DSM 110323 CLA-SR-94

NCBI tax ID(s) 2941502

Special Collections Mouse-Microbiome 2 DSMZ DZIF

Links

Caniella muris CLA-SR-94 is a mesophilic prokaryote that was isolated from caecal content; wild mouse.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 403817

JCM-36050,DSM 110323

@ref 20215

Last LPSN update 2025-12-16 10:10:39

Domain Bacillati

Phylum Actinomycetota

Class Coriobacteriia

Order Coriobacteriales

Family Atopobiaceae

Genus Caniella

Species Caniella muris

Full scientific name Caniella muris Afrizal et al. 2023

BacDive ID	Other strains from **Caniella muris** (2)	Type strain
169745	C. muris H1, WCA-FA-Sto1-30.01, DSM 105314
169747	C. muris CLA-SR-156, DSM 110983

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69165	WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)		Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
69165	positive	growth	37	mesophilic

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69165	caecal content; wild 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	Atopobiaceae_gen_nov2_DSM110323 assembly for Caniella muris DSM 110323	contig	GCA_943193035	2941502.3	8045717922	2941502	77.71

Genome browser: GCA_943193035

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Caniella muris DSM 110323
NCBI: GCA_943193035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	71.90	no
125439	motility	BacteriaNetⓘ	yes	52.80	no
125439	gram_stain	BacteriaNetⓘ	positive	77.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	89.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Caniella sp. DSM 110323 Atopobiaceae_gen_nov2_DSM110323
NCBI: GCA_943193035.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	aerobic	aerobicⓘ	no	96.38	no
125438	gram-positive	gram-positiveⓘ	yes	82.98	no
125438	anaerobic	anaerobicⓘ	yes	88.11	no
125438	spore-forming	spore-formingⓘ	no	79.12	no
125438	thermophilic	thermophileⓘ	no	89.83	yes
125438	flagellated	motile2+ⓘ	no	90.00	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) .
#69165	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110323
#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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