Baileyella intestinalis (DSM 106896, RF-744-FAT-WT-3, JCM 34418)

Name: Baileyella intestinalis (DSM 106896, RF-744-FAT-WT-3, JCM 34418)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159486

Type strain

Strain Designation RF-744-FAT-WT-3

Culture col. no. DSM 106896 RF-744-FAT-WT-3 JCM 34418

NCBI tax ID(s) 2606709

Special Collections DSMZ JCM Pig Literature strains DZIF

Links

Baileyella intestinalis RF-744-FAT-WT-3 is an anaerobe, mesophilic, rod-shaped prokaryote that was isolated from pig, WT, 4 months old, feces.

rod-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 402988

JCM 34418,DSM 106896

@ref 20215

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

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Anaerovoracaceae

Genus Baileyella

Species Baileyella intestinalis

Full scientific name Baileyella intestinalis Wylensek et al. 2021

Morphology

Cell morphology

@ref	Cell length	Cell shape
69645	1 µm	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66309	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
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)	Range
66309	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic
69645	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
69645	anaerobe
125438	anaerobe	93.698
125439	anaerobe	99.5

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	Enrichment culture	Enrichment culture duration	Enrichment culture temperature	Isolation procedure
66309	pig, WT, 4 months old, feces	Kranzberg (Bavaria)	Germany	DEU	Europe
67770	Feces of an Aachen minipig in Germany
69645	Pig feces	Aachen, NRW	Germany	DEU	Europe	RF-PBS broth	7-12 days	37	anaerobic

Taxonmaps

69479

Global distribution of 16S sequence MN537520 (>99% sequence identity) for Mobilibacterium from Microbeatlas

Aquatic Samples	173
Soil Samples	97
Animal Samples	2536
Plant Samples	28
Total Samples	2834

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969586v1 assembly for Baileyella intestinalis RF-744-FAT-WT-3	contig	GCA_009695865	2606709.8	8072087296	2606709	72.43
66792	Clostridiales Family XIII bacterium RF-744-FAT-WT-3	contig		2606709.3		2606709	54.22

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66309	Baileyella intestinalis strain RF-744-FAT-WT-3 16S ribosomal RNA gene, partial sequence	MN537520	1430		2652295

GC content

@ref	GC-content (mol%)	Method
69645	29.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Baileyella intestinalis RF-744-FAT-WT-3
NCBI: GCA_009695865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	77.20	no
125439	motility	BacteriaNetⓘ	yes	62.80	no
125439	gram_stain	BacteriaNetⓘ	variable	76.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Clostridiales Family XIII bacterium RF-744-FAT-WT-3
PATRIC: 2606709.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	73.40	no
125438	anaerobic	anaerobicⓘ	yes	93.70	yes
125438	spore-forming	spore-formingⓘ	no	65.50	no
125438	aerobic	aerobicⓘ	no	97.85	yes
125438	thermophilic	thermophileⓘ	no	90.32	yes
125438	flagellated	motile2+ⓘ	no	85.80	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 )
#66309	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106896
#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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