Dorea ammoniilytica (DSM 102136, Sanger 02, Sanger_02)

Name: Dorea ammoniilytica (DSM 102136, Sanger 02, Sanger_02)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131715

Type strain

Strain Designation Sanger 02, Sanger_02

Culture col. no. DSM 102136 Sanger 02 Sanger_02 JCM 34808

NCBI tax ID(s) 2981788

Special Collections DSMZ Sanger human gut JCM

History <- H. Browne, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, United Kingdom; Sanger_02

Links

Dorea ammoniilytica Sanger 02 is a bacterium that was isolated from faeces from healthy human.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 398664

JCM 34808,DSM 102136

@ref 20215

Last LPSN update 2026-02-09 11:31:32

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Dorea

Species Dorea ammoniilytica

Full scientific name Dorea ammoniilytica Hitch et al. 2022

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23511	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)
23511	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	99.9

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
23511	faeces from healthy human	Cambridgeshire	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	ASM2556741v1 assembly for Dorea ammoniilytica Sanger_02	scaffold	GCA_025567415	2981788.5	8068528149	2981788	65.41

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Dorea ammoniilytica Sanger_02
NCBI: GCA_025567415

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	67.50	no
125439	motility	BacteriaNetⓘ	yes	79.30	no
125439	gram_stain	BacteriaNetⓘ	positive	67.20	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: Dorea ammoniilytica Sanger_02
NCBI: GCA_025567415.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	79.47	no
125438	anaerobic	anaerobicⓘ	yes	88.28	no
125438	aerobic	aerobicⓘ	no	95.50	no
125438	spore-forming	spore-formingⓘ	no	56.35	no
125438	thermophilic	thermophileⓘ	no	92.29	no
125438	flagellated	motile2+ⓘ	no	83.08	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 )
#23511	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102136
#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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