Agathobaculum ammoniilyticum (DSM 102882, Sanger_34, JCM 34985)

Name: Agathobaculum ammoniilyticum (DSM 102882, Sanger_34, JCM 34985)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159089

Type strain

Strain Designation Sanger_34

Culture col. no. DSM 102882 Sanger_34 JCM 34985

NCBI tax ID(s) 2981778

Special Collections DSMZ Sanger human gut JCM

Links

Agathobaculum ammoniilyticum Sanger_34 is a mesophilic prokaryote that was isolated from Faeces from healthy human.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 403356

JCM 34985,DSM 102882

@ref 20215

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

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Agathobaculum

Species Agathobaculum ammoniilyticum

Full scientific name Agathobaculum ammoniilyticum Hitch et al. 2022

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65912	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
65912	PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c)		Medium recipe at MediaDive	Name: PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c) Composition: Yeast extract 10.0 g/l D-Glucose 5.0 g/l Trypticase peptone 5.0 g/l Meat peptone 5.0 g/l Na2CO3 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
65912	positive	growth	37	mesophilic

Physiology and metabolism

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
65912	Faeces from healthy human	Cambridgeshire, Hinxton	United Kingdom	GBR	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
65912	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM2556731v1 assembly for Agathobaculum ammoniilyticum Sanger_34	scaffold	GCA_025567315	2981778.5	8064396170	2981778	63.57

GC content

@ref	GC-content (mol%)	Method
65912	57.0	sequence analysis

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Agathobaculum ammoniilyticum Sanger_34
NCBI: GCA_025567315.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	60.23	no
125438	anaerobic	anaerobicⓘ	yes	84.87	no
125438	aerobic	aerobicⓘ	no	93.41	no
125438	spore-forming	spore-formingⓘ	no	52.90	no
125438	thermophilic	thermophileⓘ	no	91.17	yes
125438	flagellated	motile2+ⓘ	yes	64.57	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 )
#65912	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102882
#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 )
#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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