Bacteroides zoogleoformans CCUG 20495 is an anaerobe bacterium that was isolated from Human oral cavity.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Bacteroidaceae |
| Genus Bacteroides |
| Species Bacteroides zoogleoformans |
| Full scientific name Bacteroides zoogleoformans (Weinberg et al. 1937) Cato et al. 1982 |
| Synonyms (5) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 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 | 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 | |
|---|---|---|---|---|
| 68382 | acid phosphatase | + | 3.1.3.2 | from API zym |
| 68380 | alanine arylamidase | + | 3.4.11.2 | from API rID32A |
| 68382 | alkaline phosphatase | + | 3.1.3.1 | from API zym |
| 68380 | alkaline phosphatase | + | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | + | 3.2.1.55 | from API rID32A |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | + | 3.2.1.51 | from API zym |
| 68380 | alpha-fucosidase | + | 3.2.1.51 | from API rID32A |
| 68382 | alpha-galactosidase | + | 3.2.1.22 | from API zym |
| 68380 | alpha-galactosidase | + | 3.2.1.22 | from API rID32A |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68380 | alpha-glucosidase | + | 3.2.1.20 | from API rID32A |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68382 | beta-galactosidase | + | 3.2.1.23 | from API zym |
| 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 |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 68382 | esterase (C 4) | - | from API zym | |
| 68382 | esterase lipase (C 8) | - | from API zym | |
| 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 | |
| 68382 | leucine arylamidase | - | 3.4.11.1 | from API zym |
| 68380 | leucine arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | + | 3.4.11.1 | from API rID32A |
| 68382 | lipase (C 14) | - | from API zym | |
| 68382 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API zym |
| 68380 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API rID32A |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 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 | |
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 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 |
| 68382 | valine arylamidase | - | from API zym |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM299843v1 assembly for Bacteroides zoogleoformans ATCC 33285 | complete | 28119 | 99.38 | ||||
| 66792 | ASM783071v1 assembly for Bacteroides zoogleoformans ATCC 33285 | scaffold | 28119 | 65.67 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 47 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 98.71 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.98 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.49 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.95 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.11 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.96 | yes |
| 125438 | aerobic | aerobicⓘ | no | 94.30 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 90.58 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.68 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 89.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Comparison of Bacteroides zoogleoformans strains isolated from soft tissue infections in cats with strains from periodontal disease in humans. | Love DN, Johnson JL, Jones RF, Bailey M. | Infect Immun | 10.1128/iai.47.1.166-168.1985 | 1985 | |
| Enzymology | Comparison of randomly cloned and whole genomic DNA probes for the detection of Porphyromonas gingivalis and Bacteroides forsythus. | Wong M, DiRienzo JM, Lai CH, Listgarten MA. | J Periodontal Res | 10.1111/j.1600-0765.1996.tb00460.x | 1996 | |
| Intestinal bacteria associated with irritable bowel syndrome and chronic fatigue. | El-Salhy M. | Neurogastroenterol Motil | 10.1111/nmo.14621 | 2023 | ||
| Comprehensive Analysis of Pathogen Diversity and Diagnostic Biomarkers in Patients with Suspected Pulmonary Tuberculosis Through Metagenomic Next-Generation Sequencing. | Li Y, Li C, Fang Y, Zhang L, Ying X, Ren R, Zang Y, Ying D, Zhu S, Liu J, Cao X. | Infect Drug Resist | 10.2147/idr.s504587 | 2025 | ||
| Effects of clear aligners and traditional removable appliances on oral microbiome in mixed dentition: a comparative study. | Chen W, Chen J, Bai D, Wang P, Shu R. | BMC Oral Health | 10.1186/s12903-024-05063-2 | 2024 | ||
| Gut microbiota, physical activity and/or metabolic markers in healthy individuals - towards new biomarkers of health. | Myhrstad MCW, Ruud E, Gaundal L, Gjovaag T, Rud I, Retterstol K, Ulven SM, Holven KB, Koehler K, Telle-Hansen VH. | Front Nutr | 10.3389/fnut.2024.1438876 | 2024 | ||
| The gut microbiota in persistent post-operative pain following breast cancer surgery. | Masaud K, Collins JM, Rubio RC, Corrigan M, Cotter PD, O'Brien N, Bluett R, Jimenez CK, O'Mahony SM, Shorten GD. | Sci Rep | 10.1038/s41598-024-62397-1 | 2024 | ||
| Gut Microbiota in Diagnosis, Therapy and Prognosis of Cholangiocarcinoma and Gallbladder Carcinoma-A Scoping Review. | Lederer AK, Rasel H, Kohnert E, Kreutz C, Huber R, Badr MT, Dellweg PKE, Bartsch F, Lang H. | Microorganisms | 10.3390/microorganisms11092363 | 2023 | ||
| Genetics | Unraveling the microbial diversity of bovine liver abscesses: isolation, identification, and genomic characterization of the Bacteroides found in hepatic lesions. | Gruninger RJ, McCormack ML, Chomistek NC, Zaheer R, McAllister TA. | Microbiol Spectr | 10.1128/spectrum.00423-25 | 2025 | |
| Gut microbiome is associated with the clinical response to anti-PD-1 based immunotherapy in hepatobiliary cancers. | Mao J, Wang D, Long J, Yang X, Lin J, Song Y, Xie F, Xun Z, Wang Y, Wang Y, Li Y, Sun H, Xue J, Song Y, Zuo B, Zhang J, Bian J, Zhang T, Yang X, Zhang L, Sang X, Zhao H. | J Immunother Cancer | 10.1136/jitc-2021-003334 | 2021 | ||
| Nutrition and Chronobiology as Key Components of Multidisciplinary Therapeutic Interventions for Fibromyalgia and Associated Chronic Fatigue Syndrome: A Narrative and Critical Review. | Carrasco-Querol N, Cabricano-Canga L, Bueno Hernandez N, Goncalves AQ, Caballol Angelats R, Pozo Ariza M, Martin-Borras C, Monteso-Curto P, Castro Blanco E, Dalmau Llorca MR, Aguilar Martin C. | Nutrients | 10.3390/nu16020182 | 2024 | ||
| Optimization of conditions for in vitro modeling of subgingival normobiosis and dysbiosis. | Baraniya D, Do T, Chen T, Albandar JM, Chialastri SM, Devine DA, Marsh PD, Al-Hebshi NN. | Front Microbiol | 10.3389/fmicb.2022.1031029 | 2022 | ||
| Regional pattern and signatures of gut microbiota in rural residents with coronary heart disease: A metagenomic analysis. | Li W, Li H, Wang S, Han K, Liu Y, An Z, Wu H, Li J, Song J, Wu W. | Front Cell Infect Microbiol | 10.3389/fcimb.2022.1007161 | 2022 | ||
| Faecal Microbial Markers and Psychobiological Disorders in Subjects with Morbid Obesity. A Cross-Sectional Study. | Farup PG, Valeur J. | Behav Sci (Basel) | 10.3390/bs8100089 | 2018 | ||
| Metabolism | Are Nonnutritive Sweeteners Obesogenic? Associations between Diet, Faecal Microbiota, and Short-Chain Fatty Acids in Morbidly Obese Subjects. | Farup PG, Lydersen S, Valeur J. | J Obes | 10.1155/2019/4608315 | 2019 | |
| The Immune Barrier of Porcine Uterine Mucosa Differs Dramatically at Proliferative and Secretory Phases and Could Be Positively Modulated by Colonizing Microbiota. | Han D, Sun P, Hu Y, Wang J, Hua G, Chen J, Shao C, Tian F, Darwish HYA, Tai Y, Yang X, Chang J, Ma Y. | Front Immunol | 10.3389/fimmu.2021.750808 | 2021 | ||
| Genetics | Metagenomic analysis of subgingival microbiota following non-surgical periodontal therapy: a pilot study. | Laksmana T, Kittichotirat W, Huang Y, Chen W, Jorgensen M, Bumgarner R, Chen C. | Open Dent J | 10.2174/1874210601206010255 | 2012 | |
| Refractory periodontitis: mixed infection with Bacteroides gingivalis and other unusual Bacteroides species. A case report. | Van Dyke TE, Offenbacher S, Place D, Dowell VR, Jones J. | J Periodontol | 10.1902/jop.1988.59.3.184 | 1988 | ||
| Phylogeny | Paraphocaeicola brunensis gen. nov., sp. nov., Carrying Two Variants of nimB Resistance Gene from Bacteroides fragilis, and Caecibacteroides pullorum gen. nov., sp. nov., Two Novel Genera Isolated from Chicken Caeca. | Kralova S, Davidova-Gerzova L, Valcek A, Bezdicek M, Rychlik I, Rezacova V, Cizek A | Microbiol Spectr | 10.1128/spectrum.01954-21 | 2022 |
| #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 ) |
| #47140 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 20495 |
| #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; |
| #68380 | Automatically annotated from API rID32A . |
| #68382 | Automatically annotated from API zym . |
| #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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