Lelliottia amnigena WS 10111 is a mesophilic prokaryote that was isolated from chicken.
mesophilic genome sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Enterobacterales |
| Family Enterobacteriaceae |
| Genus Lelliottia |
| Species Lelliottia amnigena |
| Full scientific name Lelliottia amnigena (Izard et al. 1981) Brady et al. 2013 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20540 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 20540 | positive | growth | 30 | mesophilic |
| 20540 | Sample typechicken |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 20540 | 2 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM1935595v1 assembly for Lelliottia amnigena FDAARGOS_1445 | chromosome | 61646 | 89.39 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 95.20 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 71.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 92.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 100.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.43 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.38 | no |
| 125438 | aerobic | aerobicⓘ | no | 65.24 | no |
| 125438 | thermophilic | thermophileⓘ | no | 100.00 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 77.01 | 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 ) |
| #20540 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 30055 |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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/bacdive23993.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data