Lacticaseibacillus paracasei subsp. paracasei S is a mesophilic prokaryote that was isolated from lactic acid beverage "Yakult".
mesophilic genome sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Lacticaseibacillus |
| Species Lacticaseibacillus paracasei subsp. paracasei |
| Full scientific name Lacticaseibacillus paracasei subsp. paracasei (Collins et al. 1989) Zheng et al. 2020 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8591 | 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 | |
|---|---|---|---|---|---|
| 8591 | positive | growth | 30 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 96.1 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 92.3 |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 8591 | A11.31 | A4alpha L-Lys-D-Asp |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68371 | 18305 ChEBI | arbutin | + | builds acid from | from API 50CH acid |
| 68371 | 17057 ChEBI | cellobiose | + | builds acid from | from API 50CH acid |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18333 ChEBI | D-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 15824 ChEBI | D-fructose | + | builds acid from | from API 50CH acid |
| 68371 | 28847 ChEBI | D-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 12936 ChEBI | D-galactose | + | builds acid from | from API 50CH acid |
| 68371 | 17634 ChEBI | D-glucose | + | builds acid from | from API 50CH acid |
| 68371 | 62318 ChEBI | D-lyxose | - | builds acid from | from API 50CH acid |
| 68371 | 16899 ChEBI | D-mannitol | + | builds acid from | from API 50CH acid |
| 68371 | 16024 ChEBI | D-mannose | + | builds acid from | from API 50CH acid |
| 68371 | 16988 ChEBI | D-ribose | + | builds acid from | from API 50CH acid |
| 68371 | 17924 ChEBI | D-sorbitol | + | builds acid from | from API 50CH acid |
| 68371 | 16443 ChEBI | D-tagatose | + | builds acid from | from API 50CH acid |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 68371 | 4853 ChEBI | esculin | + | builds acid from | from API 50CH acid |
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 68371 | 28066 ChEBI | gentiobiose | + | builds acid from | from API 50CH acid |
| 68371 | 24265 ChEBI | gluconate | - | builds acid from | from API 50CH acid |
| 68371 | 17754 ChEBI | glycerol | - | builds acid from | from API 50CH acid |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68371 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18403 ChEBI | L-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 18287 ChEBI | L-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 50CH acid |
| 68371 | 17266 ChEBI | L-sorbose | + | builds acid from | from API 50CH acid |
| 68371 | 65328 ChEBI | L-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17716 ChEBI | lactose | - | builds acid from | from API 50CH acid |
| 68371 | 17306 ChEBI | maltose | + | builds acid from | from API 50CH acid |
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 68371 | 28053 ChEBI | melibiose | - | builds acid from | from API 50CH acid |
| 68371 | 320061 ChEBI | methyl alpha-D-glucopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 43943 ChEBI | methyl alpha-D-mannoside | - | builds acid from | from API 50CH acid |
| 68371 | 74863 ChEBI | methyl beta-D-xylopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 17268 ChEBI | myo-inositol | - | builds acid from | from API 50CH acid |
| 68371 | 59640 ChEBI | N-acetylglucosamine | + | builds acid from | from API 50CH acid |
| 68371 | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | Potassium 5-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | 16634 ChEBI | raffinose | - | builds acid from | from API 50CH acid |
| 68371 | 15963 ChEBI | ribitol | + | builds acid from | from API 50CH acid |
| 68371 | 17814 ChEBI | salicin | + | builds acid from | from API 50CH acid |
| 68371 | 28017 ChEBI | starch | - | builds acid from | from API 50CH acid |
| 68371 | 17992 ChEBI | sucrose | - | builds acid from | from API 50CH acid |
| 68371 | 27082 ChEBI | trehalose | + | builds acid from | from API 50CH acid |
| 68371 | 32528 ChEBI | turanose | + | builds acid from | from API 50CH acid |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| @ref | ControlQ | GLY | ERY | DARA | LARA | RIB | DXYL | LXYL | ADO | MDX | GAL | GLU | FRU | MNE | SBE | RHA | DUL | INO | MAN | SOR | MDM | MDG | NAG | AMY | ARB | ESC | SAL | CEL | MAL | LAC | MEL | SAC | TRE | INU | MLZ | RAF | AMD | GLYG | XLT | GEN | TUR | LYX | TAG | DFUC | LFUC | DARL | LARL | GNT | 2KG | 5KG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8591 | - | - | - | - | - | + | - | - | + | - | + | + | + | + | + | - | - | - | + | + | - | - | + | +/- | + | + | + | + | + | - | - | - | + | - | - | - | - | - | - | + | + | - | + | - | - | - | - | - | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Dairy product | |
| #Engineered | #Food production | #Fermented | |
| #Engineered | #Food production | #Beverage |
| 8591 | Sample typelactic acid beverage "Yakult" |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM2365696v1 assembly for Lacticaseibacillus paracasei ATCC 27092 | contig | 1597 | 50.45 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 92.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 64.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 85.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 92.40 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 87.82 | no |
| 125438 | aerobic | aerobicⓘ | no | 93.35 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 79.64 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 91.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Highlighting Lactic Acid Bacteria in Beverages: Diversity, Fermentation, Challenges, and Future Perspectives. | Al-Kharousi ZS. | Foods | 10.3390/foods14122043 | 2025 | ||
| What Makes Lupins Less Palatable to Consumers? Can the Sensory Quality of Lupin be Improved and Commercialized? | Wanniarachchi PC, Shea G, Mocerino M, Bennett SJ, Bhattarai RR, Coorey R. | Compr Rev Food Sci Food Saf | 10.1111/1541-4337.70265 | 2025 | ||
| Combined acid hydrolysis and fermentation improves bioactivity of citrus flavonoids in vitro and in vivo. | Konig A, Sadova N, Dornmayr M, Schwarzinger B, Neuhauser C, Stadlbauer V, Wallner M, Woischitzschlager J, Muller A, Tona R, Kofel D, Weghuber J. | Commun Biol | 10.1038/s42003-023-05424-7 | 2023 | ||
| Legumes and Legume-Based Beverages Fermented with Lactic Acid Bacteria as a Potential Carrier of Probiotics and Prebiotics. | Cichonska P, Ziarno M. | Microorganisms | 10.3390/microorganisms10010091 | 2021 | ||
| Phage PL-1 endolysin and osmotic stress as tools to enhance heterologous protein display in lactic acid bacteria platforms | Gordillo TB, Jastrebow IG, De Rossi MC, Da Silva Lima CH, Bockor SS, Allievi MC, Do Porto DF, Palomino MM. | International Journal of Biological Macromolecules. | 2025 | |||
| Phage PL-1 endolysin and osmotic stress as tools to enhance heterologous protein display in lactic acid bacteria platforms. | Gordillo TB, Jastrebow IG, De Rossi MC, Da Silva Lima CH, Bockor SS, Allievi MC, Do Porto DF, Palomino MM. | Int J Biol Macromol | 10.1016/j.ijbiomac.2025.145886 | 2025 | ||
| Genetics | Utilization of Native CRISPR-Cas9 System for Expression of Glucagon-like Peptide-1 in Lacticaseibacillus paracasei. | Zheng M, Zhang S, Wang Y, Xie N, Wang X, Lv J, Pang X, Li X. | Foods | 10.3390/foods14101785 | 2025 | |
| Genetics | Lacticaseibacillus paracasei AD22 Stress Response in Brined White Cheese Matrix: In Vitro Probiotic Profiles and Molecular Characterization. | Dishan A, Gonulalan Z. | Probiotics Antimicrob Proteins | 10.1007/s12602-024-10216-4 | 2025 | |
| Metabolite profiling and bioactivity guided fractionation of Lactobacillaceae and rice bran postbiotics for antimicrobial-resistant Salmonella Typhimurium growth suppression. | Nealon NJ, Worcester CR, Boyer SM, Haberecht HB, Ryan EP. | Front Microbiol | 10.3389/fmicb.2024.1362266 | 2024 | ||
| Metabolomics of Rice Bran Differentially Impacted by Fermentation With Six Probiotics Demonstrates Key Nutrient Changes for Enhancing Gut Health. | Seyoum Y, Humblot C, Baxter BA, Nealon NJ, Weber AM, Ryan EP. | Front Nutr | 10.3389/fnut.2021.795334 | 2021 | ||
| Pathogenicity | The Complex Role of Lactic Acid Bacteria in Food Detoxification. | Petrova P, Arsov A, Tsvetanova F, Parvanova-Mancheva T, Vasileva E, Tsigoriyna L, Petrov K. | Nutrients | 10.3390/nu14102038 | 2022 | |
| Molecular patterns from a human gut-derived Lactobacillus strain suppress pathogenic infiltration of leukocytes into the central nervous system. | Sanchez JMS, Doty DJ, DePaula-Silva AB, Brown DG, Bell R, Klag KA, Truong A, Libbey JE, Round JL, Fujinami RS. | J Neuroinflammation | 10.1186/s12974-020-01959-2 | 2020 | ||
| Metabolism | Lactobacillus paracasei metabolism of rice bran reveals metabolome associated with Salmonella Typhimurium growth reduction. | Nealon NJ, Worcester CR, Ryan EP | J Appl Microbiol | 10.1111/jam.13459 | 2017 | |
| Phylogeny | Isolation and phenotypic characterization of Lactobacillus casei and Lactobacillus paracasei bacteriophage-resistant mutants. | Capra ML, Mercanti DJ, Rossetti LC, Reinheimer JA, Quiberoni A | J Appl Microbiol | 10.1111/j.1365-2672.2011.05056.x | 2011 | |
| Phylogeny | Widely distributed lysogeny in probiotic lactobacilli represents a potentially high risk for the fermentative dairy industry. | Mercanti DJ, Carminati D, Reinheimer JA, Quiberoni A | Int J Food Microbiol | 10.1016/j.ijfoodmicro.2010.11.009 | 2010 | |
| Phylogeny | Comparative analysis of the genes encoding 23S-5S rRNA intergenic spacer regions of Lactobacillus casei-related strains. | Chen H, Lim CK, Lee YK, Chan YN | Int J Syst Evol Microbiol | 10.1099/00207713-50-2-471 | 2000 | |
| Use of Selected Lactic Acid Bacteria for the Fermentation of Legume-Based Water Extracts. | Demarinis C, Verni M, Pinto L, Rizzello CG, Baruzzi F | Foods | 10.3390/foods11213346 | 2022 |
| #8591 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20312 |
| #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) . |
| #68371 | Automatically annotated from API 50CH acid . |
| #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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