Lactiplantibacillus plantarum subsp. plantarum JCM 8341 is a mesophilic prokaryote that was isolated from Sai-krog-prieo .
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Lactiplantibacillus |
| Species Lactiplantibacillus plantarum subsp. plantarum |
| Full scientific name Lactiplantibacillus plantarum subsp. plantarum (Orla-Jensen 1919) Zheng et al. 2020 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | positive | 92.668 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 30 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 92.6 |
| 67770 | Sample typeSai-krog-prieo (sour pork sausage) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 55.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 59.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 88.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 92.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 92.67 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 88.20 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.52 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 80.80 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 88.50 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| RNA-Based Anti-Inflammatory Effects of Membrane Vesicles Derived from Lactiplantibacillus plantarum. | Yamasaki-Yashiki S, Kawashima F, Saika A, Hosomi R, Kunisawa J, Katakura Y. | Foods | 10.3390/foods13060967 | 2024 |
| #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 ) |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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https://doi.org/10.13145/bacdive165787.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data