Enterococcus avium AmMS 239 is a mesophilic prokaryote of the family Enterococcaceae.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Enterococcaceae |
| Genus Enterococcus |
| Species Enterococcus avium |
| Full scientific name Enterococcus avium (ex Nowlan and Deibel 1967) Collins et al. 1984 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 40313 | MEDIUM 29- Brain heart agar | Distilled water make up to (1000.000 ml);Brain heart infusion agar (52.000 g) | |||
| 40313 | CIP Medium 29 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 40313 | positive | growth | 37 | mesophilic |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 40313 | 2 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2540285v1 assembly for Enterococcus raffinosus ATCC 49464 | complete | 71452 | 93.59 | ||||
| 66792 | Ente_raff_ATCC49464_V2 assembly for Enterococcus raffinosus ATCC 49464 | contig | 1158602 | 72.29 | ||||
| 66792 | Ente_raff_ATCC49464_V1 assembly for Enterococcus raffinosus ATCC 49464 | scaffold | 1158602 | 69.26 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 79.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 78.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 77.60 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 82.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.11 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 86.39 | no |
| 125438 | aerobic | aerobicⓘ | no | 90.50 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 73.98 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.00 | no |
| 125438 | flagellated | motile2+ⓘ | no | 86.90 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Improved Quantitative Real-Time PCR Protocol for Detection and Quantification of Methanogenic Archaea in Stool Samples. | Cisek AA, Bak I, Cukrowska B. | Microorganisms | 10.3390/microorganisms11030660 | 2023 | ||
| Complete genome sequence of bile-isolated Enterococcus avium strain 352. | Yu T, Li L, Zhao Q, Wang P, Zuo X. | Gut Pathog | 10.1186/s13099-019-0294-9 | 2019 | ||
| Enzymology | Real-time quantitative PCR assay development and application for assessment of agricultural surface water and various fecal matter for prevalence of Aliarcobacter faecis and Aliarcobacter lanthieri. | Miltenburg MG, Cloutier M, Craiovan E, Lapen DR, Wilkes G, Topp E, Khan IUH. | BMC Microbiol | 10.1186/s12866-020-01826-3 | 2020 |
| #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 ) |
| #40313 | Collection of Institut Pasteur ; Curators of the CIP; CIP 104054 |
| #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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