Leuconostoc pseudomesenteroides PRO2 is a mesophilic prokaryote that was isolated from commercial starter culture.
mesophilic genome sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Leuconostoc |
| Species Leuconostoc pseudomesenteroides |
| Full scientific name Leuconostoc pseudomesenteroides Farrow et al. 1989 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2266 | MRS MEDIUM (DSMZ Medium 11) | Medium recipe at MediaDive | Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 2266 | positive | growth | 30 | mesophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Starter culture | |
| #Environmental | #Microbial community | - |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 2266 | commercial starter culture | Switzerland | CHE | Europe |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 95.60 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 86.98 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.82 | no |
| 125438 | aerobic | aerobicⓘ | no | 95.04 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.60 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 94.50 | no |
| #2266 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5625 |
| #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 ) |
| #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 ) |
| #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/bacdive6832.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data