Acetatifactor aquisgranensis (DSM 110981, CLA-AA-M01, SCP101-BHI2-D7)

Name: Acetatifactor aquisgranensis (DSM 110981, CLA-AA-M01, SCP101-BHI2-D7)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169741

Type strain

Strain Designation CLA-AA-M01, SCP101-BHI2-D7

Culture col. no. DSM 110981 CLA-AA-M01 SCP101-BHI2-D7 JCM 36051

NCBI tax ID(s) 2941233

Special Collections Mouse-Microbiome 2 DSMZ DZIF

Links

Acetatifactor aquisgranensis CLA-AA-M01 is a mesophilic prokaryote that was isolated from caecal content; SPF, female, C57BL/6J mouse.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 396586

JCM 36051,DSM 110981

@ref 20215

Last LPSN update 2025-12-16 10:10:39

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Acetatifactor

Species Acetatifactor aquisgranensis

Full scientific name Acetatifactor aquisgranensis Afrizal et al. 2024

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69160	BHI MEDIUM (DSMZ Medium 215)		Medium recipe at MediaDive	Name: BHI MEDIUM (DSMZ Medium 215) Composition: Brain heart infusion 37.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
69160	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	99.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69160	caecal content; SPF, female, C57BL/6J mouse	Aachen	Germany	DEU	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Acetatifactor_sp_nov_DSM110981 assembly for Acetatifactor aquisgranensis DSM 110981	contig	GCA_943193215	2941233.3	8047459434	2941233	53.28

Genome browser: GCA_943193215

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acetatifactor aquisgranensis DSM 110981
NCBI: GCA_943193215

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	63.10	no
125439	motility	BacteriaNetⓘ	yes	71.70	no
125439	gram_stain	BacteriaNetⓘ	positive	68.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetatifactor sp. DSM 110981 Acetatifactor_sp_nov_DSM110981
NCBI: GCA_943193215.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	70.23	no
125438	anaerobic	anaerobicⓘ	yes	86.23	no
125438	spore-forming	spore-formingⓘ	yes	60.61	no
125438	aerobic	aerobicⓘ	no	95.36	no
125438	thermophilic	thermophileⓘ	no	87.54	yes
125438	flagellated	motile2+ⓘ	yes	68.96	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) .
#69160	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110981
#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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