Veillonella intestinalis (DSM 105313, S17, Trib-3-CC-2C)

Name: Veillonella intestinalis (DSM 105313, S17, Trib-3-CC-2C)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169756

Type strain

Strain Designation S17, Trib-3-CC-2C

Culture col. no. DSM 105313 S17 Trib-3-CC-2C

NCBI tax ID(s) 2941341

Special Collections Mouse-Microbiome 2 DSMZ DZIF

History <- T. Clavel, RWTH Aachen; Trib-3-CC-2C

Links

Veillonella intestinalis S17 is a bacterium that was isolated from B6, WT, SPF , caecal content.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 399266

DSM 105313

@ref 20215

Last LPSN update 2026-02-09 11:41:06

Domain Bacteria

Phylum Bacillota

Class Negativicutes

Order Veillonellales

Family Veillonellaceae

Genus Veillonella

Species Veillonella intestinalis

Full scientific name Veillonella intestinalis Afrizal et al. 2023

BacDive ID	Other strains from **Veillonella intestinalis** (1)	Type strain
169757	V. intestinalis Cla-AV-13, DSM 110113

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69175	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (MODIFIED) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
69175	positive	growth	37

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		96.3

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
69175	B6, WT, SPF (specific pathogen-free), caecal content	Freising	Germany	DEU	Europe	48.6567	12.2692 48.6567/12.2692

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Veillonella_sp_nov1_DSM105313 assembly for Veillonella intestinalis DSM 105313	contig	GCA_943193155	2941339.3	8045742273	2941341	76.77

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Veillonella intestinalis DSM 105313
NCBI: GCA_943193155

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.30	no
125439	motility	BacteriaNetⓘ	no	71.30	no
125439	gram_stain	BacteriaNetⓘ	positive	82.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	88.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Veillonella sp. DSM 105313 Veillonella_sp_nov1_DSM105313
NCBI: GCA_943193155.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	87.53	no
125438	anaerobic	anaerobicⓘ	yes	76.54	no
125438	spore-forming	spore-formingⓘ	no	77.78	no
125438	aerobic	aerobicⓘ	no	90.00	no
125438	thermophilic	thermophileⓘ	no	91.82	no
125438	flagellated	motile2+ⓘ	no	84.97	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 )
#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) .
#69175	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105313
#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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