Cutibacterium acnes subsp. defendens JCM 18920 is a mesophilic prokaryote that was isolated from Eczematous skin of atopic dermatitis patient.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Propionibacteriales |
| Family Propionibacteriaceae |
| Genus Cutibacterium |
| Species Cutibacterium acnes subsp. defendens |
| Full scientific name Cutibacterium acnes subsp. defendens (McDowell et al. 2016) Nouioui et al. 2018 |
| Synonyms (1) |
| BacDive ID | Other strains from Cutibacterium acnes subsp. defendens (8) | Type strain |
|---|---|---|
| 133242 | C. acnes subsp. defendens ATCC 11828, JCM 6473, CCUG 6369, BCRC 16146, ... (type strain) | |
| 162337 | C. acnes subsp. defendens JCM 18911 | |
| 162339 | C. acnes subsp. defendens JCM 18913 | |
| 162340 | C. acnes subsp. defendens JCM 18914 | |
| 162341 | C. acnes subsp. defendens JCM 18915 | |
| 162347 | C. acnes subsp. defendens JCM 18921 | |
| 162352 | C. acnes subsp. defendens JCM 18926 | |
| 164460 | C. acnes subsp. defendens JCM 33136 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 37 | mesophilic |
| 67770 | Sample typeEczematous skin of atopic dermatitis patient |
Global distribution of 16S sequence AB628071 (>99% sequence identity) for Cutibacterium acnes from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM52144v1 assembly for Cutibacterium acnes JCM 18920 | contig | 1302244 | 9.51 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Cutibacterium acnes gene for 16S ribosomal RNA, partial sequence, strain: K127, Type II | AB628071 | 1200 | 1747 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 89.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 97.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 94.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.10 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 67.09 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 79.58 | no |
| 125438 | aerobic | aerobicⓘ | no | 70.86 | no |
| 125438 | thermophilic | thermophileⓘ | no | 91.81 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 94.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Classification of Cutibacterium acnes at phylotype level by MALDI-MS proteotyping. | Teramoto K, Okubo T, Yamada Y, Sekiya S, Iwamoto S, Tanaka K. | Proc Jpn Acad Ser B Phys Biol Sci | 10.2183/pjab.95.042 | 2019 |
| #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 ) |
| #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/bacdive162346.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data