Roseburia amylophila (DSM 102150, Sanger_19, JCM 34814)

Name: Roseburia amylophila (DSM 102150, Sanger_19, JCM 34814)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132459

Type strain

Strain Designation Sanger_19

Culture col. no. DSM 102150 Sanger_19 JCM 34814

NCBI tax ID(s) 2981794

Special Collections DSMZ Sanger human gut JCM

History <- H. Browne, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom; Sanger_19

Links

Roseburia amylophila Sanger_19 is a bacterium that was isolated from faeces from healthy human.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 401770

JCM-34814,DSM 102150

@ref 20215

Last LPSN update 2026-02-09 11:31:43

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Roseburia

Species Roseburia amylophila

Full scientific name Roseburia amylophila Hitch et al. 2022

BacDive ID	Other strains from **Roseburia amylophila** (1)	Type strain
175408	R. amylophila H3-GB4-E11, CLA-AA-H204, DSM 112682, JCM ...

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24248	YCFA-MEDIUM (MODIFIED) (DSMZ Medium 1611)		Medium recipe at MediaDive	Name: YCFA MEDIUM (modified) (DSMZ Medium 1611) Composition: Casitone 10.0 g/l Glucose 5.0 g/l NaHCO3 4.0 g/l Yeast extract 2.5 g/l Acetic acid 1.78695 g/l L-Cysteine HCl 1.0 g/l NaCl 0.9 g/l Propionic acid 0.62559 g/l KH2PO4 0.45 g/l K2HPO4 0.45 g/l CaCl2 x 2 H2O 0.09 g/l n-Valeric acid 0.08451 g/l iso-Valeric acid 0.0837899 g/l iso-Butyric acid 0.07695 g/l MgSO4 x 7 H2O 0.045 g/l Hemin 0.01 g/l Resazurin 0.001 g/l Pyridoxine hydrochloride 0.0001 g/l Nicotinic acid 5e-05 g/l Thiamine-HCl x 2 H2O 5e-05 g/l Riboflavin 5e-05 g/l D-Calcium pantothenate 5e-05 g/l p-Aminobenzoic acid 5e-05 g/l Lipoic acid 5e-05 g/l Folic acid 2e-05 g/l Biotin 2e-05 g/l Vitamin B12 1e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
24248	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	99.131
125439	anaerobe	98.6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
24248	faeces from healthy human	Cambridgeshire	United Kingdom	GBR	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM2556746v1 assembly for Roseburia amylophila Sanger_19	scaffold	GCA_025567465	2981794.5	8068101160	2981794	59.41

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Roseburia amylophila Sanger_19
NCBI: GCA_025567465

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	79.50	no
125439	motility	BacteriaNetⓘ	yes	84.00	no
125439	gram_stain	BacteriaNetⓘ	variable	83.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Roseburia amylophila Sanger_19
NCBI: GCA_025567465.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	74.27	no
125438	anaerobic	anaerobicⓘ	yes	99.13	no
125438	aerobic	aerobicⓘ	no	99.04	no
125438	spore-forming	spore-formingⓘ	no	53.54	no
125438	thermophilic	thermophileⓘ	no	90.57	no
125438	flagellated	motile2+ⓘ	yes	77.47	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 )
#24248	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102150
#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) .
#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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