Adlercreutzia aquisgranensis (DSM 108611, Cla-RA-2, CLA-SR-PSM1-47)

Name: Adlercreutzia aquisgranensis (DSM 108611, Cla-RA-2, CLA-SR-PSM1-47)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169742

Type strain

Strain Designation Cla-RA-2, CLA-SR-PSM1-47, RA2

Culture col. no. DSM 108611 Cla-RA-2 CLA-SR-PSM1-47 RA2

NCBI tax ID(s) 2941323

Special Collections Mouse-Microbiome 2 DSMZ DZIF

History <- T. Clavel, RWTH Aachen; CLA-SR-PSM1-47

Links

Adlercreutzia aquisgranensis Cla-RA-2 is a bacterium that was isolated from gut content; wild mouse.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 404674

JCM 36500,DSM 108611

@ref 20215

Last LPSN update 2026-02-09 11:41:06

Domain Bacteria

Phylum Actinomycetota

Class Coriobacteriia

Order Eggerthellales

Family Eggerthellaceae

Genus Adlercreutzia

Species Adlercreutzia aquisgranensis

Full scientific name Adlercreutzia aquisgranensis Afrizal et al. 2024

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	93.8

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69161	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)
69161	positive	growth	37

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		98.7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69161	gut content; wild 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	Adlercreutzia_sp_nov3_DSM108611 assembly for Adlercreutzia aquisgranensis	contig	GCA_943193145	2941323.3	8045740148	2941323	69.96

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Adlercreutzia sp. DSM 108611 Adlercreutzia_sp_nov3_DSM108611
NCBI: GCA_943193145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.70	no
125439	motility	BacteriaNetⓘ	yes	85.70	no
125439	gram_stain	BacteriaNetⓘ	negative	93.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	82.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Adlercreutzia sp. DSM 108611 Adlercreutzia_sp_nov3_DSM108611
NCBI: GCA_943193145.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.85	no
125438	anaerobic	anaerobicⓘ	yes	86.89	no
125438	spore-forming	spore-formingⓘ	no	77.38	no
125438	aerobic	aerobicⓘ	no	93.52	no
125438	thermophilic	thermophileⓘ	no	91.32	yes
125438	flagellated	motile2+ⓘ	no	86.50	no

Literature

Title	Authors	Journal	DOI	Year
Validation List no. 216. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006229	2024

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) .
#69161	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108611
#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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Adlercreutzia aquisgranensis (DSM 108611, Cla-RA-2, CLA-SR-PSM1-47)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_943193145

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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