Alicyclobacillus cellulosilyticus Sueoka is a bacterium that was isolated from steamed Japanese cedar chips from a lumbermill.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Alicyclobacillaceae |
| Genus Alicyclobacillus |
| Species Alicyclobacillus cellulosilyticus |
| Full scientific name Alicyclobacillus cellulosilyticus Kusube et al. 2014 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 64760 | ALICYCLOBACILLUS CELLULOSILYTICUS MEDIUM (DSMZ Medium 1684) | Medium recipe at MediaDive | Name: Alicyclobacillus cellulosilyticus Medium (DSMZ Medium 1684; with strain-specific modifications) Composition: Agar 20.0 g/l Carboxymethylcellulose 2.5 g/l (NH4)2SO4 1.3 g/l Glucose 1.0 g/l Tryptone 0.9 g/l KH2PO4 0.37 g/l Yeast extract 0.25 g/l MgSO4 x 7 H2O 0.25 g/l CaCl2 x 2 H2O 0.07 g/l FeCl3 x 6 H2O 0.02 g/l Distilled water |
| 67770 | Observationquinones: MK-7 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Industrial | #Engineered product | |
| #Host Body Product | #Plant | #Timber |
Global distribution of 16S sequence AB622813 (>99% sequence identity) for Alicyclobacillus from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 64760 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1464731v1 assembly for Alicyclobacillus cellulosilyticus JCM 18487 | scaffold | 1003997 | 24.41 | ||||
| 66792 | ASM2052133v1 assembly for Alicyclobacillus cellulosilyticus Sueoka | scaffold | 1003997 | 0 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 64760 | Alicyclobacillus cellulosilyticus gene for 16S rRNA, partial sequence | AB622813 | 1503 | 1003997 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | gram_stain | BacteriaNetⓘ | negative | 60.06 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 71.96 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 62.00 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 87.21 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 69.60 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 81.33 | no |
| 125438 | aerobic | aerobicⓘ | yes | 66.24 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 81.58 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 56.28 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 68.71 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Alicyclobacillus cellulosilyticus sp. nov., a thermophilic, cellulolytic bacterium isolated from steamed Japanese cedar chips from a lumbermill. | Kusube M, Sugihara A, Moriwaki Y, Ueoka T, Shimane Y, Minegishi H | Int J Syst Evol Microbiol | 10.1099/ijs.0.061440-0 | 2014 |
| #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 ) |
| #64760 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107339 |
| #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; |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive158167.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data