Oscillibacter acetigenes (DSM 108348, H4-59, H4_59)

Name: Oscillibacter acetigenes (DSM 108348, H4-59, H4_59)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 157767

Type strain

Strain Designation H4-59, H4_59

Culture col. no. DSM 108348 H4-59 H4_59 JCM 39250

NCBI tax ID(s) 2981792

Special Collections DSMZ Sanger human gut JCM

History <- H. Browne, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom; H4_59 <- H. Browne; {2014}

Links

Oscillibacter acetigenes H4-59 is a bacterium that was isolated from human faeces.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 402076

JCM 39250,DSM 108348

@ref 20215

Last LPSN update 2026-02-09 11:38:09

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Oscillibacter

Species Oscillibacter acetigenes

Full scientific name Oscillibacter acetigenes Hitch et al. 2022

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		93.051
125439		96.2	negative

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
64339	WILKINS-CHALGREN ANAEROBE BROTH (N2/CO2) (DSMZ Medium 339a)		Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (N2/CO2) (DSMZ Medium 339a) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l D-Glucose 5.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water
64339	CMC MEDIUM (N2/CO2) (DSMZ Medium 110a)		Medium recipe at MediaDive	Name: CMC MEDIUM (N2/CO2) (DSMZ Medium 110a) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Yeast extract 5.0 g/l K2HPO4 5.0 g/l D-Glucose 4.0 g/l Na2CO3 1.5 g/l Cellobiose 1.0 g/l Maltose 1.0 g/l Starch 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l Sodium resazurin 0.0005 g/l NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
64339	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	99.8

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
64339	human faeces	Cambridgeshire, Hinxton	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	ASM2556760v1 assembly for Oscillibacter acetigenes H4_59	scaffold	GCA_025567605	2981792.5	8065751976	2981792	65.23

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Oscillibacter acetigenes H4_59
NCBI: GCA_025567605

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	84.60	no
125439	motility	BacteriaNetⓘ	no	52.40	no
125439	gram_stain	BacteriaNetⓘ	negative	96.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Oscillibacter acetigenes H4_59
NCBI: GCA_025567605.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	72.55	no
125438	anaerobic	anaerobicⓘ	yes	68.69	no
125438	aerobic	aerobicⓘ	no	91.60	no
125438	spore-forming	spore-formingⓘ	no	65.74	no
125438	thermophilic	thermophileⓘ	no	90.63	no
125438	flagellated	motile2+ⓘ	no	93.05	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 )
#64339	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108348
#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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