Cutibacterium acnes DSM 16379 is an anaerobe, mesophilic prokaryote that was isolated from contamination of an anaerobic culture.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Propionibacteriales |
| Family Propionibacteriaceae |
| Genus Cutibacterium |
| Species Cutibacterium acnes |
| Full scientific name Cutibacterium acnes (Gilchrist 1900) Scholz and Kilian 2016 |
| Synonyms (2) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6416 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water | ||
| 6416 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 6416 | positive | growth | 37 | mesophilic |
| 6416 | Oxygen toleranceanaerobe |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 96 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | + | reduction | from API rID32A |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68380 | alkaline phosphatase | - | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | - | 3.2.1.55 | from API rID32A |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 68380 | alpha-galactosidase | - | 3.2.1.22 | from API rID32A |
| 68380 | alpha-glucosidase | + | 3.2.1.20 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucosidase | - | 3.2.1.21 | from API rID32A |
| 68380 | glutamate decarboxylase | - | 4.1.1.15 | from API rID32A |
| 68380 | glutamyl-glutamate arylamidase | - | from API rID32A | |
| 68380 | histidine arylamidase | - | from API rID32A | |
| 68380 | leucine arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | phenylalanine arylamidase | - | from API rID32A | |
| 68380 | proline-arylamidase | + | 3.4.11.5 | from API rID32A |
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| @ref | URE | ADH (Arg) | alpha GAL | beta GAL | beta-Galactosidase 6-phosphatebeta GP | alpha GLU | beta GLU | alpha ARA | beta GUR | beta-N-Acetyl-beta-glucosaminidasebeta NAG | MNE | RAF | GDC | alpha FUC | Reduction of nitrateNIT | IND | PAL | L-arginine arylamidaseArgA | ProA | LGA | Phenylalanine arylamidasePheA | Leucine arylamidaseLeuA | PyrA | Tyrosine arylamidaseTyrA | Alanine arylamidaseAlaA | Glycin arylamidaseGlyA | Histidine arylamidaseHisA | Glutamyl-glutamate arylamidaseGGA | Serine arylamidaseSerA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6416 | - | - | - | +/- | - | + | - | - | - | + | + | - | - | - | + | + | - | +/- | + | - | - | - | +/- | - | + | + | - | - | + | |
| 6416 | - | + | - | +/- | - | + | - | - | - | +/- | + | - | - | - | + | + | - | - | + | - | - | - | - | - | + | + | - | - | + | |
| 6416 | - | + | - | - | - | + | - | - | - | + | + | - | - | - | + | + | - | - | + | - | - | - | - | - | + | + | - | - | + | |
| 6416 | - | + | - | + | - | + | - | - | - | + | + | - | - | - | + | +/- | - | + | + | - | - | - | - | - | + | + | - | - | + | |
| 6416 | - | + | - | + | - | + | - | - | +/- | +/- | - | - | - | - | + | - | - | + | + | +/- | - | - | - | - | + | + | - | - | + | |
| 6416 | - | - | - | +/- | - | + | - | - | + | + | + | - | - | - | + | - | - | +/- | + | - | - | - | - | - | +/- | +/- | - | - | +/- |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Contamination | - | |
| #Engineered | #Laboratory | #Lab enrichment | |
| #Condition | #Anoxic (anaerobic) | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 6416 | contamination of an anaerobic culture | Ulm | Germany | DEU | Europe | 48.4011 | 9.9876 48.4011/9.9876 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM413621v1 assembly for Cutibacterium acnes KPA171202 | complete | 267747 | 98.66 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 124043 | Propionibacterium acnes 16S ribosomal RNA gene, partial sequence. | KF906603 | 1486 | 1747 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.00 | no |
| 125439 | motility | BacteriaNetⓘ | no | 91.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 95.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 80.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.60 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 63.23 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 78.98 | no |
| 125438 | aerobic | aerobicⓘ | no | 68.81 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 93.98 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 94.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Pathogenicity | The Role of Cutibacterium acnes in the Etiopathogenesis of Sarcoidosis: Current Insights and Future Study Directions. | Di Francesco AM, Pasciuto G, Verrecchia E, Sicignano LL, Gerardino L, Rigante D, Manna R. | Int J Mol Sci | 10.3390/ijms26146652 | 2025 | |
| Comprehensive lipidomic analysis of the genus Cutibacterium. | Chudzik A, Bromke MA, Gamian A, Pasciak M. | mSphere | 10.1128/msphere.00054-24 | 2024 | ||
| Different Cutibacterium acnes Phylotypes Release Distinct Extracellular Vesicles. | Chudzik A, Migdal P, Pasciak M. | Int J Mol Sci | 10.3390/ijms23105797 | 2022 | ||
| Identification and Characterization of Corynaridin, a Novel Linaridin from Corynebacterium lactis. | Pashou E, Reich SJ, Reiter A, Weixler D, Eikmanns BJ, Oldiges M, Riedel CU, Goldbeck O. | Microbiol Spectr | 10.1128/spectrum.01756-22 | 2023 | ||
| Establishing a Cell-Free Transcription-Translation Platform for Cutibacterium acnes to Prototype Engineered Metabolic and Synthetic Biology. | Fabrega MJ, Knodlseder N, Nevot G, Sanvicente M, Toloza L, Santos-Moreno J, Guell M. | ACS Biomater Sci Eng | 10.1021/acsbiomaterials.1c00894 | 2023 | ||
| Pathogenicity | Acne and Stress: Impact of Catecholamines on Cutibacterium acnes. | Borrel V, Thomas P, Catovic C, Racine PJ, Konto-Ghiorghi Y, Lefeuvre L, Duclairoir-Poc C, Zouboulis CC, Feuilloley MGJ. | Front Med (Lausanne) | 10.3389/fmed.2019.00155 | 2019 | |
| Bacteria Modify Their Sensitivity to Chemerin-Derived Peptides by Hindering Peptide Association With the Cell Surface and Peptide Oxidation. | Godlewska U, Bilska B, Majewski P, Pyza E, Zabel BA, Cichy J. | Front Microbiol | 10.3389/fmicb.2020.01819 | 2020 | ||
| Genetics | Red-Brown Pigmentation of Acidipropionibacterium jensenii Is Tied to Haemolytic Activity and cyl-Like Gene Cluster. | Deptula P, Loivamaa I, Smolander OP, Laine P, Roberts RJ, Piironen V, Paulin L, Savijoki K, Auvinen P, Varmanen P. | Microorganisms | 10.3390/microorganisms7110512 | 2019 | |
| Detailed protocol for germ-free Drosophila melanogaster colonization with Propionibacterium spp. biofilms. | Bronnec V, Alexeyev OA. | STAR Protoc | 10.1016/j.xpro.2022.101342 | 2022 | ||
| STITCH and Molecular Docking Analysis of Selected Wood Apple (Limonia acidissima) Constituents as Anti-Dandruff and Anti-Acne Agents. | Vishnupriya N, Sankar MM, Vimal S, Radhakrishnan N. | J Pharm Bioallied Sci | 10.4103/jpbs.jpbs_508_23 | 2024 | ||
| Pathogenicity | Engineering selectivity of Cutibacterium acnes phages by epigenetic imprinting. | Knodlseder N, Nevot G, Fabrega MJ, Mir-Pedrol J, Sanvicente-Garcia M, Campama-Sanz N, Paetzold B, Lood R, Guell M | PLoS Pathog | 10.1371/journal.ppat.1010420 | 2022 | |
| Genetics | In vitro emergence of fluoroquinolone resistance in Cutibacterium (formerly Propionibacterium) acnes and molecular characterization of mutations in the gyrA gene. | Takoudju EM, Guillouzouic A, Kambarev S, Pecorari F, Corvec S | Anaerobe | 10.1016/j.anaerobe.2017.06.005 | 2017 | |
| In silico prediction and qPCR validation of novel sRNAs in Propionibacterium acnes KPA171202. | Balgir PP, Dhiman SR, Kaur P | J Genet Eng Biotechnol | 10.1016/j.jgeb.2016.03.002 | 2016 | ||
| Genetics | Analysis of complete genomes of Propionibacterium acnes reveals a novel plasmid and increased pseudogenes in an acne associated strain. | Kasimatis G, Fitz-Gibbon S, Tomida S, Wong M, Li H | Biomed Res Int | 10.1155/2013/918320 | 2013 | |
| Genetics | Comparative genomics and transcriptomics of Propionibacterium acnes. | Brzuszkiewicz E, Weiner J, Wollherr A, Thurmer A, Hupeden J, Lomholt HB, Kilian M, Gottschalk G, Daniel R, Mollenkopf HJ, Meyer TF, Bruggemann H | PLoS One | 10.1371/journal.pone.0021581 | 2011 | |
| Enzymology | Expression, purification, crystallization and preliminary X-ray diffraction analysis of the soluble domain of PPA0092, a putative nitrite reductase from Propionibacterium acnes. | Nojiri M, Shirota F, Hira D, Suzuki S | Acta Crystallogr Sect F Struct Biol Cryst Commun | 10.1107/S1744309108040207 | 2009 | |
| Genetics | Complete Genome Sequences and Methylome Analyses of Cutibacterium acnes subsp. acnes Strains DSM 16379 and DSM 1897(T). | Deptula P, Laine P, Paulin L, Auvinen P, Roberts RJ, Johnston CD, Varmanen P | Microbiol Resour Announc | 10.1128/MRA.00705-20 | 2020 | |
| Enzymology | Characterization of beta-1,3-galactosyl-N-acetylhexosamine phosphorylase from Propionibacterium acnes. | Nakajima M, Nishimoto M, Kitaoka M | Appl Microbiol Biotechnol | 10.1007/s00253-008-1838-y | 2009 | |
| Phylogeny | A new phylogenetic group of Propionibacterium acnes. | McDowell A, Perry AL, Lambert PA, Patrick S | J Med Microbiol | 10.1099/jmm.0.47489-0 | 2008 |
| #6416 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16379 |
| #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) . |
| #68380 | Automatically annotated from API rID32A . |
| #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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