Muribaculum caecicola (DSM 110169, NM86_A22)

Name: Muribaculum caecicola (DSM 110169, NM86_A22)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169753

Type strain

Strain Designation NM86_A22

Culture col. no. DSM 110169 NM86_A22

NCBI tax ID(s) 3038144

Special Collections Mouse-Microbiome 2 DSMZ DZIF

Links

Muribaculum caecicola NM86_A22 is a mesophilic prokaryote that was isolated from caecal/colon content; C57BL/6, APCmin/+ Msh2-/-, 9-week-old mouse.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 407147

JCM:36504,DSM 110169

@ref 20215

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

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Muribaculaceae

Genus Muribaculum

Species Muribaculum caecicola

Full scientific name Muribaculum caecicola Afrizal et al. 2024

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	95.484
125439	negative	99.4

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69172	YCFA-MEDIUM (MODIFIED) (DSMZ Medium 1611)		Medium recipe at MediaDive	Name: YCFA-MEDIUM (MODIFIED) (DSMZ Medium 1611) Composition: Casitone 10.0 g/l Glucose 5.0 g/l NaHCO3 4.0 g/l Yeast extract 2.5 g/l Acetic acid 1.78695 g/l L-Cysteine HCl 1.0 g/l NaCl 0.9 g/l Propionic acid 0.62559 g/l KH2PO4 0.45 g/l K2HPO4 0.45 g/l CaCl2 x 2 H2O 0.09 g/l n-Valeric acid 0.08451 g/l iso-Valeric acid 0.0837899 g/l iso-Butyric acid 0.07695 g/l MgSO4 x 7 H2O 0.045 g/l Hemin 0.01 g/l Resazurin 0.001 g/l Pyridoxine hydrochloride 0.0001 g/l Nicotinic acid 5e-05 g/l Thiamine-HCl x 2 H2O 5e-05 g/l Riboflavin 5e-05 g/l D-Calcium pantothenate 5e-05 g/l p-Aminobenzoic acid 5e-05 g/l Lipoic acid 5e-05 g/l Folic acid 2e-05 g/l Biotin 2e-05 g/l Vitamin B12 1e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
69172	positive	growth	37	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.9
125438		95.937

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69172	caecal/colon content; C57BL/6, APCmin/+ Msh2-/-, 9-week-old mouse	Toronto	Canada	CAN	North America

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM480163v1 assembly for Muribaculum caecicola NM86_A22	contig	GCA_004801635	2498093.13	2999285758	3038144	1.3

Genome browser: GCA_004801635

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Muribaculum caecicola NM86_A22
NCBI: GCA_004801635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.90	no
125439	motility	BacteriaNetⓘ	yes	52.00	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	79.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Muribaculum caecicola NM86_A22
NCBI: GCA_004801635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.48	no
125438	anaerobic	anaerobicⓘ	yes	87.90	no
125438	aerobic	aerobicⓘ	no	88.46	no
125438	spore-forming	spore-formingⓘ	no	95.94	no
125438	thermophilic	thermophileⓘ	no	94.20	yes
125438	flagellated	motile2+ⓘ	no	89.57	no

Literature

Title	Authors	Journal	DOI	Year
Validation List no. 216. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006229	2024

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) .
#69172	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110169
#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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Muribaculum caecicola (DSM 110169, NM86_A22)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004801635

Genome-based predictions

Predictions

Literature

Literature

References

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