Aedoeadaptatus acetigenes E51 is a bacterium that was isolated from human faeces.
genome sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Tissierellales |
| Family Peptoniphilaceae |
| Genus Aedoeadaptatus |
| Species Aedoeadaptatus acetigenes |
| Full scientific name Aedoeadaptatus acetigenes Hitch et al. 2022 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 64758 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 64758 | positive | growth | 37 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 64758 | human faeces | Homo sapiens | Calgary | Canada | CAN | North America |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2556698v1 assembly for Aedoeadaptatus acetigenes E51 | scaffold | 2981723 | 68.6 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 99.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 89.06 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 50.37 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.23 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 81.51 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 93.89 | no |
| 125438 | aerobic | aerobicⓘ | no | 95.95 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 65.12 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.75 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 84.92 | no |
| #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 ) |
| #64758 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107480 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive158165.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data