Porcincola intestinalis (DSM 106895, Oil+RF-744-WCA-WT-11, JCM 34417)

Name: Porcincola intestinalis (DSM 106895, Oil+RF-744-WCA-WT-11, JCM 34417)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159031

Type strain

Strain Designation Oil+RF-744-WCA-WT-11, Oil-RF-744-WCA-WT-11

Culture col. no. DSM 106895 Oil+RF-744-WCA-WT-11 JCM 34417 Oil-RF-744-WCA-WT-11

NCBI tax ID(s) 2606632

Special Collections DSMZ JCM Pig Literature strains DZIF

Links

Porcincola intestinalis Oil+RF-744-WCA-WT-11 is an obligate anaerobe, mesophilic, Gram-positive prokaryote that builds chains of cells and was isolated from Aachener Minipig, WT, 4 months old, feces.

Gram-positive obligate anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 408249

JCM 34417,DSM 106895

@ref 20215

Last LPSN update 2025-12-16 10:08:09

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Porcincola

Species Porcincola intestinalis

Full scientific name Porcincola intestinalis Wylensek et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Motility
69645	positive

Multicellular morphology

@ref	Forms multicellular complex	Complex name	Complex size
69645		chains of cells	10 µm

Culture and growth conditions

Culture medium

@ref	Name	Composition
69645	Wilkins-Chalgren Anaerobe broth	supplemented with L-cysteine and DTT (0.05% and 0.02% (w/v), respectively)
69645	Gifu Anaerobic Medium, modi?ed
69645	Oil-RF-PBS broth
65854	GAM Broth, modified (Gifu Anaerobic Medium Broth, modified) (DSMZ Medium 1715)	Name: GAM Broth, modified (Gifu Anaerobic Medium Broth, modified) (DSMZ Medium 1715) Composition: GAM Broth mod. powder 41.7 g/l Deionized water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
65854	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic
69645	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
69645	obligate anaerobe
125438	anaerobe
125439	facultative anaerobe

Observation

69645

ObservationDeconjugates primary bile acids

Enzymes

@ref	Value	Activity
69645	lipase	+

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
65854	Aachener Minipig, WT, 4 months old, feces	Aachen	Germany	DEU	Europe
67770	Feces of an Aachen minipig in Germany
69645	Pig feces	Aachen, NRW	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537519 (>99% sequence identity) for Lachnospiraceae from Microbeatlas

Aquatic Samples	89
Soil Samples	153
Animal Samples	5058
Plant Samples	79
Total Samples	5379

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969644v1 assembly for Porcincola intestinalis Oil+RF-744-WCA-WT-11	contig	GCA_009696445	2606632.3	2936224828	2606632	68.42

Genome browser: GCA_009696445

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65854	Porcincola intestinalis strain Oil+RF-744-WCA-WT-11 16S ribosomal RNA gene, partial sequence	MN537519	1475		2652303

GC content

@ref	GC-content (mol%)	Method
69645	52	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Porcincola intestinalis Oil+RF-744-WCA-WT-11
NCBI: GCA_009696445

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	85.40	no
125439	motility	BacteriaNetⓘ	yes	88.50	no
125439	gram_stain	BacteriaNetⓘ	variable	74.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	97.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lachnospiraceae bacterium Oil+RF-744-WCA-WT-11 strain Oil+RF-744-WCA-WT-11 strain Oil+RF-744-WCA-WT-11 strain Oil+RF-744-WCA-WT-11
PATRIC: 2606632.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	72.71	no
125438	anaerobic	anaerobicⓘ	yes	93.28	no
125438	spore-forming	spore-formingⓘ	no	65.75	no
125438	aerobic	aerobicⓘ	no	95.29	yes
125438	thermophilic	thermophileⓘ	no	94.50	yes
125438	flagellated	motile2+ⓘ	no	84.80	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 )
#65854	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106895
#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 )

Rate our new design

Content

About us