Mogibacterium kristiansenii (DSM 106282, WCA-MUC-591-APC-4B, JCM 34371)

Name: Mogibacterium kristiansenii (DSM 106282, WCA-MUC-591-APC-4B, JCM 34371)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158922

Type strain

Strain Designation WCA-MUC-591-APC-4B

Culture col. no. DSM 106282 WCA-MUC-591-APC-4B JCM 34371

NCBI tax ID(s) 2606708

Special Collections DSMZ JCM Pig Literature strains DZIF

History DSMZ <- T. Clavel , TU Munich, Freising-Weihenstephan, Germany; WCA-MUC-591-APC-4B JCM <-- B. Abt; DSMZ, Germany; DSM 106282 (=WCA-MUC-591-APC-4B) <-- T. Clavel; RWTH Aachen, Germany.

Links

Mogibacterium kristiansenii WCA-MUC-591-APC-4B is an obligate anaerobe, Gram-positive, rod-shaped bacterium that was isolated from feces; pig ,7 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli protein.

Gram-positive rod-shaped obligate anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407523

JCM34371,DSM 106282

@ref 20215

Last LPSN update 2026-05-29 08:44:04

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Anaerovoracaceae

Genus Mogibacterium

Species Mogibacterium kristiansenii

Full scientific name Mogibacterium kristiansenii Wylensek et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell shape
69645	positive	1-1.5 µm	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
65744	GAM Broth (Gifu Anaerobic Medium Broth) (DSMZ Medium 1713)	Medium recipe at MediaDive	Name: GAM Broth (Gifu Anaerobic Medium Broth) (DSMZ Medium 1713; with strain-specific modifications) Composition: GAM Broth powder 59.0 g/l Sodium pyruvate 11.004 g/l Distilled water
69645	Gifu Anaerobic Medium, modi?ed
69645	Brain Heart Infusion (BHI) agar
69645	Wilkins-Chalgren Anaerobe broth		supplemented with L-cysteine and DTT (0.05% and 0.02% (w/v), respectively)

Culture temp

@ref	Growth	Type	Temperature (°C)
65744	positive	growth	37
67770	positive	growth	37
69645	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate anaerobe	98.881
69645	obligate anaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Enrichment culture	Enrichment culture composition	Enrichment culture duration	Enrichment culture temperature	Isolation procedure
65744	feces; pig ,7 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli (APC) protein	Kranzberg (Bavaria)	Germany	DEU	Europe
67770	Feces of an APC^1311/+ pig	Freising	Germany	DEU	Europe
69645	Pig feces	Thalhausen, Bavaria	Germany	DEU	Europe	Wilkins-Chalgren Anaerobe broth	supplemented with 18.5 g mucin	7-10 days	37	anaerobic

Taxonmaps

69479

Global distribution of 16S sequence MN537512 (>99% sequence identity) for Mogibacterium from Microbeatlas

Aquatic Samples	3969
Soil Samples	1164
Animal Samples	60044
Plant Samples	407
Total Samples	65584

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969590v1 assembly for Mogibacterium kristiansenii WCA-MUC-591-APC-4B	contig	GCA_009695905	2606708.3	2936388581	2606708	70.5

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65744	Mogibacterium kristiansenii strain WCA-MUC-591-APC-4B 16S ribosomal RNA gene, partial sequence	MN537512	1393		2652294

GC content

@ref	GC-content (mol%)	Method
67770	50	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM969590v1 assembly for Mogibacterium kristiansenii WCA-MUC-591-APC-4B
BV-BRC: 2606708.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	variable	62.83	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	98.88	no
125439	motility	BacteriaNetⓘ	yes	79.86	no
125439	spore_formation	BacteriaNetⓘ	yes	67.22	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Clostridiales Family XIII bacterium WCA-MUC-591-APC-4B
PATRIC: 2606708.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	74.49	no
125438	anaerobic	anaerobicⓘ	yes	89.15	no
125438	spore-forming	spore-formingⓘ	no	68.68	no
125438	aerobic	aerobicⓘ	no	94.40	yes
125438	thermophilic	thermophileⓘ	no	88.45	yes
125438	flagellated	motile2+ⓘ	no	86.50	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 )
#65744	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106282
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .
#69645	David Wylensek, Thomas C. A. Hitch, Thomas Riedel, Afrizal Afrizal, Neeraj Kumar, Esther Wortmann, Tianzhe Liu, Saravanan Devendran, Till R. Lesker, Sara B. Hernández, Viktoria Heine, Eva M. Buhl, Paul M. D'Agostino, Fabio Cumbo, Thomas Fischöder, Marzena Wyschkon, Torey Looft, Valeria R. Parreira, Birte Abt, Heidi L. Doden, Lindsey Ly, João M. P. Alves, Markus Reichlin, Krzysztof Flisikowski, Laura Navarro Suarez, Anthony P. Neumann, Garret Suen, Tomas de Wouters, Sascha Rohn, Ilias Lagkouvardos, Emma Allen-Vercoe, Cathrin Spröer, Boyke Bunk, Anja J. Taverne-Thiele, Marcel Giesbers, Jerry M. Wells, Klaus Neuhaus, Angelika Schnieke, Felipe Cava, Nicola Segata, Lothar Elling, Till Strowig, Jason M. Ridlon, Tobias A. M. Gulder, Jörg Overmann, Thomas Clavel: A collection of bacterial isolates from the pig intestine reveals functional and taxonomic diversity. Nat. Commun. 11: 2020 ( DOI 10.1038/s41467-020-19929-w )
#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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