Mobiluncus porci (DSM 108840, RF-GAM-744-WT-7, JCM 34379)

Name: Mobiluncus porci (DSM 108840, RF-GAM-744-WT-7, JCM 34379)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159355

Type strain

Strain Designation RF-GAM-744-WT-7

Culture col. no. DSM 108840 RF-GAM-744-WT-7 JCM 34379

NCBI tax ID(s) 2652278

Special Collections DSMZ JCM Pig DZIF

History DSMZ <- T. Clavel , RWTH Aachen, Germany; RF-GAM-744-WT-7 JCM <-- B. Abt; DSMZ, Germany; DSM 108840 (=RF-GAM-744-WT-7) <-- T. Clavel; RWTH Aachen, Germany.

Links

Mobiluncus porci RF-GAM-744-WT-7 is a bacterium that was isolated from Aachener Minipig, WT, 4 months old, feces.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 402188

JCM 34379,DSM 108840

@ref 20215

Last LPSN update 2026-05-29 08:44:10

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Actinomycetales

Family Actinomycetaceae

Genus Mobiluncus

Species Mobiluncus porci

Full scientific name Mobiluncus porci Wylensek et al. 2021

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66178	BHI MEDIUM FOR STRICT ANAEROBES (DSMZ Medium 215c)		Medium recipe at MediaDive	Name: BHI MEDIUM FOR STRICT ANAEROBES (DSMZ Medium 215c) Composition: Brain heart infusion 37.0 g/l L-Cysteine HCl x H2O 0.25 g/l Na2S x 9 H2O 0.25 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
66178	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	94.933

Spore formation

@ref	Spore formation	Confidence
125439		92.582

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
66178	Aachener Minipig, WT, 4 months old, feces	Aachen	Germany	DEU	Europe
67770	Feces of an Aachen minipig in Germany

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969593v1 assembly for Mobiluncus porci RF-GAM-744-WT-7	contig	GCA_009695935	144178.4	2995397235	2652278	64.81

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66178	Mobiluncus porci strain RF-GAM-744-WT-7 16S ribosomal RNA gene, partial sequence	MN537552	1403		2652278

GC content

@ref	GC-content (mol%)	Method
67770	56.3	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM969593v1 assembly for Mobiluncus porci RF-GAM-744-WT-7
BV-BRC: 144178.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	94.93	no
125439	motility	BacteriaNetⓘ	no	69.09	no
125439	gram_stain	BacteriaNetⓘ	negative	42.30	no
125439	spore_formation	BacteriaNetⓘ	no	92.58	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mobiluncus holmesii strain RF-GAM-744-WT-7
PATRIC: 144178.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	67.60	no
125438	anaerobic	anaerobicⓘ	no	54.84	no
125438	spore-forming	spore-formingⓘ	no	75.36	no
125438	aerobic	aerobicⓘ	no	79.17	no
125438	thermophilic	thermophileⓘ	no	89.96	yes
125438	flagellated	motile2+ⓘ	yes	60.13	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 )
#66178	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108840
#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;
#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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