Saccharococcus thermophilus 657 is a bacterium that was isolated from beet sugar extraction.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Saccharococcus |
| Species Saccharococcus thermophilus |
| Full scientific name Saccharococcus thermophilus Nystrand 1984 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1752 | TS AGAR (DSMZ Medium 893) | Medium recipe at MediaDive | Name: TS AGAR (DSMZ Medium 893) Composition: Agar 15.0 g/l Sucrose 5.0 g/l Tryptone 5.0 g/l Beef extract 3.0 g/l Glucose 1.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 1752 | positive | growth | 50 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Food | |
| #Engineered | #Industrial | #Industrial production |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 1752 | beet sugar extraction | Sweden | SWE | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM4268330v1 assembly for Saccharococcus thermophilus CCM 3586 | contig | 29396 | 77.51 | ||||
| 66792 | ASM1176147v1 assembly for Saccharococcus thermophilus DSM 4749 | contig | 29396 | 75.3 | ||||
| 124043 | ASM4265112v1 assembly for Saccharococcus thermophilus CCM 3586 | contig | 29396 | 47.71 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 1752 | 47.8 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 89.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 88.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 89.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 84.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 74.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 86.70 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 90.99 | no |
| 125438 | aerobic | aerobicⓘ | yes | 66.15 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 72.45 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 81.23 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Elucidating the biotechnological potential of the genera Parageobacillus and Saccharococcus through comparative genomic and pan-genome analysis. | Mol M, de Maayer P. | BMC Genomics | 10.1186/s12864-024-10635-1 | 2024 | |
| Enzymology | Isolation, Genomic Sequence and Physiological Characterization of Parageobacillus sp. G301, an Isolate Capable of Both Hydrogenogenic and Aerobic Carbon Monoxide Oxidation. | Imaura Y, Okamoto S, Hino T, Ogami Y, Katayama YA, Tanimura A, Inoue M, Kamikawa R, Yoshida T, Sako Y. | Appl Environ Microbiol | 10.1128/aem.00185-23 | 2023 | |
| Microbial community structure in a biogas digester utilizing the marine energy crop Saccharina latissima. | Pope PB, Vivekanand V, Eijsink VG, Horn SJ. | 3 Biotech | 10.1007/s13205-012-0097-x | 2013 | ||
| Phylogeny | Anoxybacillus sediminis sp. nov., a novel moderately thermophilic bacterium isolated from a hot spring. | Khan IU, Habib N, Xiao M, Devi AM, Habib M, Hejazi MS, Salam N, Zhi XY, Li WJ | Antonie Van Leeuwenhoek | 10.1007/s10482-018-1118-5 | 2018 |
| #1752 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 4749 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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) . |
| #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/bacdive1390.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data