Anaerofustis stercorihominis (DSM 28733, WHC-424-CC-1)

Name: Anaerofustis stercorihominis (DSM 28733, WHC-424-CC-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131107

Type strain

Strain Designation WHC-424-CC-1

Culture col. no. DSM 28733 WHC-424-CC-1

NCBI tax ID(s) 214853

Special Collections DSMZ Mouse DZIF

History DSMZ <- T. Clavel, TU Munich, Freising-Weihenstephan, Germany; WHC-424-CC-1

Links

Anaerofustis stercorihominis WHC-424-CC-1 is an anaerobe bacterium that was isolated from caecal content; TNF^deltaARE/+ C57BL/6 mouse.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 400000

DSM 28733

@ref 20215

Last LPSN update 2026-05-29 08:37:32

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Eubacteriaceae

Genus Anaerofustis

Species Anaerofustis stercorihominis

Full scientific name Anaerofustis stercorihominis Finegold et al. 2004

BacDive ID	Other strains from **Anaerofustis stercorihominis** (1)	Type strain
5413	A. stercorihominis DSM 17244, ATCC BAA-858, CCUG 47767, CIP ... (type strain)

Morphology

Colony morphology

22399

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
22399	FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203)	Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203) Composition: Horse blood 100.0 g/l Fastidious Anaerobe Agar 45.7 g/l Distilled water
22399	BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58)	Medium recipe at MediaDive	Name: BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) Composition: Glucose 10.0 g/l Casein peptone 10.0 g/l Bacto Soytone 5.0 g/l Meat extract 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l MnSO4 x H2O 0.05 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 Tween 80 Resazurin Distilled water
22399	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

Culture temp

@ref	Growth	Type	Temperature (°C)
22399	positive	growth	37

Physiology and metabolism

Oxygen tolerance

22399

Oxygen toleranceanaerobe

Spore formation

@ref	Spore formation	Confidence
125439		92.04

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Muridae (Mouse/Rat)
#Host Body-Site	#Gastrointestinal tract	#Large intestine
#Host Body Product	#Gastrointestinal tract	#Caecal content

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22399	caecal content; TNF^deltaARE/+ C57BL/6 mouse	Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence KR364732 (>99% sequence identity) for Anaerofustis stercorihominis subclade from Microbeatlas

Aquatic Samples	375
Soil Samples	177
Animal Samples	19796
Plant Samples	85
Total Samples	20433

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22399	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	ASM2462318v1 assembly for Anaerofustis stercorihominis DSM 28733	contig	GCA_024623185	214853.15	8063127947	214853	62.01

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22399	Anaerofustis stercorihominis strain WHC-424-CC-1 16S ribosomal RNA gene, partial sequence	KR364732	1432		214853

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM2462318v1 assembly for Anaerofustis stercorihominis DSM 28733
NCBI: GCA_024623185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	67.77	no
125439	gram_stain	BacteriaNetⓘ	negative	67.24	no
125439	motility	BacteriaNetⓘ	no	66.23	no
125439	spore_formation	BacteriaNetⓘ	no	92.04	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Anaerofustis stercorihominis DSM 28733
NCBI: GCA_024623185.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	78.32	no
125438	anaerobic	anaerobicⓘ	yes	87.88	yes
125438	aerobic	aerobicⓘ	no	97.99	no
125438	spore-forming	spore-formingⓘ	no	62.67	no
125438	thermophilic	thermophileⓘ	no	86.54	yes
125438	flagellated	motile2+ⓘ	no	85.03	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 )
#22399	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28733
#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) .
#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 .
#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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