Propionibacterium acidifaciens C3M-31 is an anaerobe, mesophilic, Gram-positive prokaryote that was isolated from human oral cavity from middle depth of carious lesion.
Gram-positive anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Propionibacteriales |
| Family Propionibacteriaceae |
| Genus Propionibacterium |
| Species Propionibacterium acidifaciens |
| Full scientific name Propionibacterium acidifaciens Downes and Wade 2009 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16021 | SCHAEDLER BROTH (ROTH; 5772) (DSMZ Medium 1669) | Medium recipe at MediaDive | Name: SCHAEDLER BROTH (Roth; 5772) (DSMZ Medium 1669) Composition: Glucose 5.83 g/l Casein peptone 5.66 g/l Yeast extract 5.0 g/l Peptone mixture 5.0 g/l Tris 3.0 g/l NaCl 1.66 g/l Soy peptone 1.0 g/l K2HPO4 0.83 g/l L-Cysteine HCl x H2O 0.4 g/l Hemin 0.01 g/l Resazurin 0.001 g/l Distilled water | ||
| 16021 | 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 | ||
| 16021 | 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 | ||
| 115997 | CIP Medium 20 | Medium recipe at CIP |
| 29297 | Observationaggregates in chains |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 29297 | 30089 ChEBI | acetate | + | carbon source | |
| 29297 | 22599 ChEBI | arabinose | + | carbon source | |
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 29297 | 17057 ChEBI | cellobiose | + | carbon source | |
| 68380 | 16024 ChEBI | D-mannose | + | fermentation | from API rID32A |
| 29297 | 28757 ChEBI | fructose | + | carbon source | |
| 29297 | 17234 ChEBI | glucose | + | carbon source | |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 29297 | 17716 ChEBI | lactose | + | carbon source | |
| 29297 | 17306 ChEBI | maltose | + | carbon source | |
| 29297 | 29864 ChEBI | mannitol | + | carbon source | |
| 29297 | 37684 ChEBI | mannose | + | carbon source | |
| 29297 | 28053 ChEBI | melibiose | + | carbon source | |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 29297 | 17272 ChEBI | propionate | + | carbon source | |
| 29297 | 16634 ChEBI | raffinose | + | carbon source | |
| 68380 | 16634 ChEBI | raffinose | + | fermentation | from API rID32A |
| 29297 | 26546 ChEBI | rhamnose | + | carbon source | |
| 29297 | 33942 ChEBI | ribose | + | carbon source | |
| 29297 | 17814 ChEBI | salicin | + | carbon source | |
| 29297 | 30031 ChEBI | succinate | + | carbon source | |
| 29297 | 17992 ChEBI | sucrose | + | carbon source | |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Chebi-ID | Metabolite | Production | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | from API rID32A |
| @ref | Chebi-ID | Metabolite | Indole test | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | - | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68380 | alanine arylamidase | - | 3.4.11.2 | from API rID32A |
| 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 |
| 29297 | alpha-galactosidase | + | 3.2.1.22 | |
| 68380 | alpha-galactosidase | + | 3.2.1.22 | from API rID32A |
| 68380 | alpha-glucosidase | + | 3.2.1.20 | from API rID32A |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68380 | beta-galactosidase | + | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucosidase | - | 3.2.1.21 | from API rID32A |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 68380 | glutamate decarboxylase | - | 4.1.1.15 | from API rID32A |
| 68380 | glutamyl-glutamate arylamidase | - | from API rID32A | |
| 68380 | glycin arylamidase | - | from API rID32A | |
| 68380 | histidine arylamidase | - | from API rID32A | |
| 68380 | L-arginine arylamidase | + | from API rID32A | |
| 68380 | leucyl glycin arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32A |
| 68380 | phenylalanine arylamidase | + | from API rID32A | |
| 68380 | proline-arylamidase | + | 3.4.11.5 | from API rID32A |
| 68380 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32A |
| 68380 | serine arylamidase | - | from API rID32A | |
| 68380 | tryptophan deaminase | - | 4.1.99.1 | 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 16021 | - | - | + | + | - | + | - | - | - | - | + | + | - | - | - | - | - | + | + | - | + | - | - | + | - | - | - | - | - | |
| 16021 | - | - | + | + | - | + | - | - | - | - | + | + | - | - | - | - | - | + | + | - | + | + | - | + | - | - | - | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body-Site | #Oral cavity and airways | - | |
| #Host Body-Site | #Other | #Wound |
| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 16021 | human oral cavity from middle depth of carious lesion | London | United Kingdom | GBR | Europe | ||
| 61190 | Human oral cavity,carious lesion | 2001-11-01 | London | United Kingdom | GBR | Europe | |
| 67770 | Human mouth | ||||||
| 115997 | Human, Oral cavity from middle depth of carious lesion | London | United Kingdom | GBR | Europe |
Global distribution of 16S sequence EU979537 (>99% sequence identity) for Propionibacterium acidifaciens subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM42660v1 assembly for Propionibacterium acidifaciens DSM 21887 | scaffold | 1122994 | 59.57 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 92.20 | no |
| 125439 | motility | BacteriaNetⓘ | no | 52.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 94.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 85.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.15 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 68.17 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 79.31 | no |
| 125438 | aerobic | aerobicⓘ | no | 64.78 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.71 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 97.50 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metatranscriptomic analysis shows functional alterations in subgingival biofilm in young smokers with periodontitis: a pilot study. | Casarin RCV, Silva RVCD, Paz HES, Stolf CS, Carvalho LM, Noronha MF, Sallum AW, Monteiro MF. | J Appl Oral Sci | 10.1590/1678-7757-2024-0031 | 2024 | ||
| Metabolism | Comparative Genomics of Sigma Factors in Acidithiobacillia Sheds Light into the Transcriptional Regulatory Networks Involved in Biogeochemical Dynamics in Extreme Acidic Environments. | Sepulveda-Rebolledo P, Gonzalez-Rosales C, Dopson M, Perez-Rueda E, Holmes DS, Valdes JH. | Microorganisms | 10.3390/microorganisms13061199 | 2025 | |
| Draft Genome Sequences of Sphingomonas mucosissima DSM 17494 and Sphingomonas dokdonensis DSM 21029. | Poehlein A, Wubbeler JH, Daniel R, Steinbuchel A. | Genome Announc | 10.1128/genomea.00889-17 | 2017 | ||
| Genetics | Beyond the ABCs-Discovery of Three New Plasmid Types in Rhodobacterales (RepQ, RepY, RepW). | Freese HM, Ringel V, Overmann J, Petersen J. | Microorganisms | 10.3390/microorganisms10040738 | 2022 | |
| Enzymology | Two Cases of Urinary Tract Infection Caused by Propionimicrobium lymphophilum. | Williams GD. | J Clin Microbiol | 10.1128/jcm.00438-15 | 2015 | |
| Pathogenicity | Procyanidin-Cell Wall Interactions within Apple Matrices Decrease the Metabolization of Procyanidins by the Human Gut Microbiota and the Anti-Inflammatory Effect of the Resulting Microbial Metabolome In Vitro. | Le Bourvellec C, Bagano Vilas Boas P, Lepercq P, Comtet-Marre S, Auffret P, Ruiz P, Bott R, Renard CMGC, Dufour C, Chatel JM, Mosoni P. | Nutrients | 10.3390/nu11030664 | 2019 | |
| Genetics | Integrated Multi-omics Investigations Reveal the Key Role of Synergistic Microbial Networks in Removing Plasticizer Di-(2-Ethylhexyl) Phthalate from Estuarine Sediments. | Wei ST, Chen YL, Wu YW, Wu TY, Lai YL, Wang PH, Ismail W, Lee TH, Chiang YR. | mSystems | 10.1128/msystems.00358-21 | 2021 | |
| Phylogeny | Helcococcus ovis, an emerging pathogen in bovine valvular endocarditis. | Kutzer P, Schulze C, Engelhardt A, Wieler LH, Nordhoff M. | J Clin Microbiol | 10.1128/jcm.00867-08 | 2008 | |
| Phylogeny | Analysis of early bacterial communities on volcanic deposits on the island of Miyake (Miyake-jima), Japan: a 6-year study at a fixed site. | Fujimura R, Sato Y, Nishizawa T, Nanba K, Oshima K, Hattori M, Kamijo T, Ohta H. | Microbes Environ | 10.1264/jsme2.me11207 | 2012 | |
| Clostridium butyricum-altered lung microbiome is associated with enhanced anti-influenza effects via G-protein-coupled receptor120. | Hagihara M, Yamashita M, Ariyoshi T, Minemura A, Yoshida C, Higashi S, Oka K, Takahashi M, Ota A, Maenaka A, Iwasaki K, Hirai J, Shibata Y, Umemura T, Mori T, Kato H, Asai N, Mikamo H. | iScience | 10.1016/j.isci.2025.113502 | 2025 | ||
| Phylogeny | Sphingomonas panaciterrae sp. nov., a plant growth-promoting bacterium isolated from soil of a ginseng field. | Sukweenadhi J, Kim YJ, Kang CH, Farh Mel-A, Nguyen NL, Hoang VA, Choi ES, Yang DC. | Arch Microbiol | 10.1007/s00203-015-1134-z | 2015 | |
| Phylogeny | Propionibacterium ruminifibrarum sp. nov., isolated from cow rumen fibrous content. | Vaidya JD, Hornung BVH, Smidt H, Edwards JE, Plugge CM | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003544 | 2019 | |
| Phylogeny | Propionibacterium acidifaciens sp. nov., isolated from the human mouth. | Downes J, Wade WG | Int J Syst Evol Microbiol | 10.1099/ijs.0.010470-0 | 2009 |
| #16021 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21887 |
| #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 ) |
| #25713 | IJSEM 2778 2009 ( DOI 10.1099/ijs.0.010470-0 , PubMed 19625418 ) |
| #29297 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25713 |
| #61190 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 57100 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68380 | Automatically annotated from API rID32A . |
| #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 . |
| #115997 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110570 |
| #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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