Pseudoramibacter porci (DSM 106894, RF-744-FAT-4, JCM 34374)

Name: Pseudoramibacter porci (DSM 106894, RF-744-FAT-4, JCM 34374)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158897

Type strain

Strain Designation RF-744-FAT-4

Culture col. no. DSM 106894 RF-744-FAT-4 JCM 34374

NCBI tax ID(s) 2606631

Special Collections DSMZ JCM Pig DZIF

Links

Pseudoramibacter porci RF-744-FAT-4 is a mesophilic prokaryote that was isolated from Aachener Minipig, WT, 4 months old, feces.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 397123

JCM 34374,DSM 106894

@ref 20215

Last LPSN update 2025-12-16 10:08:08

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Eubacteriaceae

Genus Pseudoramibacter

Species Pseudoramibacter porci

Full scientific name Pseudoramibacter porci Wylensek et al. 2021

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65719	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
65719	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	94.422
125439	anaerobe	99.4

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
65719	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	ASM969614v1 assembly for Pseudoramibacter porci RF-744-FAT-4	contig	GCA_009696145	2606631.3	2936301297	2606631	71.36

Genome browser: GCA_009696145

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65719	Pseudoramibacter porci strain RF-744-FAT-4 16S ribosomal RNA gene, partial sequence	MN537518	1473		2652299

GC content

@ref	GC-content (mol%)	Method
67770	49.3	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudoramibacter porci RF-744-FAT-4
NCBI: GCA_009696145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	84.00	no
125439	motility	BacteriaNetⓘ	no	82.00	no
125439	gram_stain	BacteriaNetⓘ	positive	87.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Eubacteriaceae bacterium RF-744-FAT-4
PATRIC: 2606631.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	75.95	no
125438	anaerobic	anaerobicⓘ	yes	94.42	no
125438	spore-forming	spore-formingⓘ	no	68.16	no
125438	aerobic	aerobicⓘ	no	98.24	no
125438	thermophilic	thermophileⓘ	no	85.78	yes
125438	flagellated	motile2+ⓘ	no	80.78	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 )
#65719	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106894
#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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