Bacteroides propionicifaciens SV434 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from methanogenic fermenter of cattle waste.
Gram-negative rod-shaped anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Bacteroidaceae |
| Genus Bacteroides |
| Species Bacteroides propionicifaciens |
| Full scientific name Bacteroides propionicifaciens Ueki et al. 2008 |
| BacDive ID | Other strains from Bacteroides propionicifaciens (2) | Type strain |
|---|---|---|
| 1620 | B. propionicifaciens S562, DSM 19346 | |
| 161508 | B. propionicifaciens JCM 14650 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 15423 | 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 | ||
| 15423 | CHOPPED MEAT MEDIUM (DSMZ Medium 78) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water |
| @ref | Ability | Type | PH | |
|---|---|---|---|---|
| 32432 | positive | optimum | 7.9 |
| 15423 | Oxygen toleranceanaerobe |
| 67770 | Observationquinones: MK-8, MK-9 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32432 | 22599 ChEBI | arabinose | + | carbon source | |
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 32432 | 17057 ChEBI | cellobiose | + | carbon source | |
| 68380 | 16024 ChEBI | D-mannose | + | fermentation | from API rID32A |
| 32432 | 23652 ChEBI | dextrin | + | carbon source | |
| 32432 | 4853 ChEBI | esculin | + | hydrolysis | |
| 32432 | 28757 ChEBI | fructose | + | carbon source | |
| 32432 | 28260 ChEBI | galactose | + | carbon source | |
| 32432 | 17234 ChEBI | glucose | + | carbon source | |
| 32432 | 28087 ChEBI | glycogen | + | carbon source | |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 32432 | 24996 ChEBI | lactate | + | carbon source | |
| 32432 | 17716 ChEBI | lactose | + | carbon source | |
| 32432 | 17306 ChEBI | maltose | + | carbon source | |
| 32432 | 37684 ChEBI | mannose | + | carbon source | |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 32432 | 15361 ChEBI | pyruvate | + | carbon source | |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | from API rID32A |
| 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 |
| 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 |
| 32432 | catalase | + | 1.11.1.6 | |
| 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 | leucine arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin 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 | 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 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Bovinae (Cow, Cattle) | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) | |
| #Condition | #Anoxic (anaerobic) | - |
| @ref | Sample type | Sampling date | Country | Country ISO 3 Code | Continent | Geographic location | |
|---|---|---|---|---|---|---|---|
| 15423 | methanogenic fermenter of cattle waste | Japan | JPN | Asia | |||
| 62492 | Methanogenic fermenter of cattle waste | 2007 | Japan | JPN | Asia | ||
| 67770 | Rice-straw residue from a methanogenic reactor treating waste from cattle farms in Betsukai-machi | Japan | JPN | Asia | Hokkaido |
Global distribution of 16S sequence AB510706 (>99% sequence identity) for Bacteroides propionicifaciens subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM37540v1 assembly for Bacteroides propionicifaciens DSM 19291 = JCM 14649 | contig | 1121099 | 64.89 | ||||
| 67770 | ASM61374v1 assembly for Bacteroides propionicifaciens DSM 19291 = JCM 14649 | contig | 1121099 | 56.47 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 67.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 72.10 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 91.32 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 85.89 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 90.28 | no |
| 125438 | aerobic | aerobicⓘ | no | 94.56 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 92.24 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Targeted prebiotic application of gluconic acid-containing oligosaccharides promotes Faecalibacterium growth through microbial cross-feeding networks. | Negishi H, Ichikawa A, Takahashi S, Kano H, Makino S. | ISME J | 10.1093/ismejo/wraf027 | 2025 | ||
| Pathogenicity | Environmental Impact of Tributyltin-Resistant Marine Bacteria in the Indigenous Microbial Population of Tributyltin-Polluted Surface Sediments. | Mimura H, Yagi M, Yoshida K. | Biocontrol Sci | 10.4265/bio.22.89 | 2017 | |
| Differential growth of bowel commensal Bacteroides species on plant xylans of differing structural complexity. | Centanni M, Hutchison JC, Carnachan SM, Daines AM, Kelly WJ, Tannock GW, Sims IM. | Carbohydr Polym | 10.1016/j.carbpol.2016.11.017 | 2017 | ||
| In Vitro Influence of Specific Bacteroidales Strains on Gut and Liver Health Related to Metabolic Dysfunction-Associated Fatty Liver Disease. | Garcia-Morena D, Fernandez-Cantos MV, Escalera SL, Lok J, Iannone V, Cancellieri P, Maathuis W, Panagiotou G, Aranzamendi C, Aidy SE, Kolehmainen M, El-Nezami H, Wellejus A, Kuipers OP. | Probiotics Antimicrob Proteins | 10.1007/s12602-024-10219-1 | 2025 | ||
| Heterologous expression and antimicrobial potential of class II bacteriocins. | Elisa Heesemann Rosenkilde C, Olsen Lutzhoft D, Vazquez-Uribe R, Otto Alexander Sommer M. | Gut Microbes | 10.1080/19490976.2024.2369338 | 2024 | ||
| Enhanced removal of chromium(vi) by Fe(iii)-reducing bacterium coated ZVI for wastewater treatment: batch and column experiments. | Zheng B, Ye Y, Hu B, Luo C, Zhu Y. | RSC Adv | 10.1039/c9ra06516d | 2019 | ||
| Gut microbiota in regulatory T cell generation and function: mechanisms and health implications. | Sharma A, Sharma G, Im SH. | Gut Microbes | 10.1080/19490976.2025.2516702 | 2025 | ||
| GABA Production by Human Intestinal Bacteroides spp.: Prevalence, Regulation, and Role in Acid Stress Tolerance. | Otaru N, Ye K, Mujezinovic D, Berchtold L, Constancias F, Cornejo FA, Krzystek A, de Wouters T, Braegger C, Lacroix C, Pugin B. | Front Microbiol | 10.3389/fmicb.2021.656895 | 2021 | ||
| Genetics | Out of the Abyss: Genome and Metagenome Mining Reveals Unexpected Environmental Distribution of Abyssomicins. | Iglesias A, Latorre-Perez A, Stach JEM, Porcar M, Pascual J. | Front Microbiol | 10.3389/fmicb.2020.00645 | 2020 | |
| Phylogeny | Distribution of different species of the Bacteroides fragilis group in individuals with Japanese cedar pollinosis. | Odamaki T, Xiao JZ, Sakamoto M, Kondo S, Yaeshima T, Iwatsuki K, Togashi H, Enomoto T, Benno Y. | Appl Environ Microbiol | 10.1128/aem.01106-08 | 2008 | |
| Phylogeny | Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study. | Odamaki T, Kato K, Sugahara H, Hashikura N, Takahashi S, Xiao JZ, Abe F, Osawa R. | BMC Microbiol | 10.1186/s12866-016-0708-5 | 2016 | |
| Moheibacter lacus sp. nov., Isolated from Freshwater Lake Sediment. | Liu Y, Chang YQ, Wang CN, Ye MQ, Wang MY, Du ZJ. | Curr Microbiol | 10.1007/s00284-021-02465-1 | 2021 | ||
| Metabolism | Steroidobacter flavus sp. nov., a microcystin-degrading Gammaproteobacterium isolated from soil. | Gong ZL, Zhang CF, Jin R, Zhang YQ. | Antonie Van Leeuwenhoek | 10.1007/s10482-016-0706-5 | 2016 | |
| Phylogeny | Hymenobacter humi sp. nov., a bacterium isolated from soil. | Srinivasan S, Joo ES, Lee JJ, Kim MK. | Antonie Van Leeuwenhoek | 10.1007/s10482-015-0436-0 | 2015 | |
| Phylogeny | Bacteroides propionicifaciens sp. nov., isolated from rice-straw residue in a methanogenic reactor treating waste from cattle farms. | Ueki A, Abe K, Kaku N, Watanabe K, Ueki K | Int J Syst Evol Microbiol | 10.1099/ijs.0.65486-0 | 2008 |
| #15423 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19291 |
| #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 ) |
| #32432 | 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 #28654 (see below) |
| #62492 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 60909 |
| #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 . |
| #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/bacdive1621.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data