Alloprevotella tannerae CIP 104476 is an anaerobe bacterium of the family Prevotellaceae.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Prevotellaceae |
| Genus Alloprevotella |
| Species Alloprevotella tannerae |
| Full scientific name Alloprevotella tannerae (Moore et al. 1994) Downes et al. 2013 |
| Synonyms (1) |
| @ref | Name | Growth | Composition | |
|---|---|---|---|---|
| 36897 | MEDIUM 20 - for Anaerobic bacteria | Agar (15.000 g);Glucose (5.000 g);Yeast extract (20.000 g);Tryptone (30.000 g);Cysteine hydrochloride (0.500 g);distilled water (1000.000 ml);Hemin solution -M00149 (25.000 ml) |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | CMP-KDO biosynthesis | 100 | 4 of 4 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 90.91 | 20 of 22 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | lipoate biosynthesis | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | tetrahydrofolate metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | pyrimidine metabolism | 77.78 | 35 of 45 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | isoprenoid biosynthesis | 69.23 | 18 of 26 | ||
| 66794 | purine metabolism | 69.15 | 65 of 94 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | threonine metabolism | 60 | 6 of 10 | ||
| 66794 | alanine metabolism | 58.62 | 17 of 29 | ||
| 66794 | glutamate and glutamine metabolism | 57.14 | 16 of 28 | ||
| 66794 | aspartate and asparagine metabolism | 55.56 | 5 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | vitamin B6 metabolism | 54.55 | 6 of 11 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | myo-inositol biosynthesis | 50 | 5 of 10 | ||
| 66794 | suberin monomers biosynthesis | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | isoleucine metabolism | 50 | 4 of 8 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | lysine metabolism | 47.62 | 20 of 42 | ||
| 66794 | vitamin B1 metabolism | 46.15 | 6 of 13 | ||
| 66794 | phenylalanine metabolism | 46.15 | 6 of 13 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | non-pathway related | 42.11 | 16 of 38 | ||
| 66794 | histidine metabolism | 41.38 | 12 of 29 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 40 | 2 of 5 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | polyamine pathway | 39.13 | 9 of 23 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | methionine metabolism | 38.46 | 10 of 26 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | oxidative phosphorylation | 35.16 | 32 of 91 | ||
| 66794 | tryptophan metabolism | 34.21 | 13 of 38 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 33.33 | 4 of 12 | ||
| 66794 | valine metabolism | 33.33 | 3 of 9 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | lipid metabolism | 32.26 | 10 of 31 | ||
| 66794 | degradation of sugar alcohols | 31.25 | 5 of 16 | ||
| 66794 | leucine metabolism | 30.77 | 4 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 30.77 | 4 of 13 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | Entner Doudoroff pathway | 30 | 3 of 10 | ||
| 66794 | reductive acetyl coenzyme A pathway | 28.57 | 2 of 7 | ||
| 66794 | ubiquinone biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | d-xylose degradation | 27.27 | 3 of 11 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | urea cycle | 23.08 | 3 of 13 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 | ||
| 66794 | arachidonic acid metabolism | 22.22 | 4 of 18 | ||
| 66794 | cysteine metabolism | 22.22 | 4 of 18 | ||
| 66794 | glutathione metabolism | 21.43 | 3 of 14 | ||
| 66794 | tyrosine metabolism | 21.43 | 3 of 14 | ||
| 66794 | arginine metabolism | 20.83 | 5 of 24 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host Body-Site | #Oral cavity and airways | #Gingiva | |
| #Host Body-Site | #Oral cavity and airways | #Tooth | |
| #Host | #Human | - | |
| #Infection | #Inflammation | - |
Global distribution of 16S sequence AB971822 (>99% sequence identity) for Alloprevotella tannerae subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM15999v1 assembly for Alloprevotella tannerae ATCC 51259 | scaffold | 626522 | 71.51 | ||||
| 66792 | Prevotella tannerae ATCC 51259 | contig | 626522 | 22.3 |
| 67770 | GC-content (mol%)45 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 88.12 | no |
| 125439 | motility | BacteriaNetⓘ | no | 90.07 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 88.87 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.86 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.82 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 92.04 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 93.98 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.67 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.01 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.38 | no |
| 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 | ||
| Deep sequencing of biofilm microbiomes on dental composite materials. | Conrads G, Wendt LK, Hetrodt F, Deng ZL, Pieper D, Abdelbary MMH, Barg A, Wagner-Dobler I, Apel C. | J Oral Microbiol | 10.1080/20002297.2019.1617013 | 2019 | ||
| Impact of HIV on the Oral Microbiome of Children Living in Sub-Saharan Africa, Determined by Using an rpoC Gene Fragment Metataxonomic Approach. | Mann AE, O'Connell LM, Osagie E, Akhigbe P, Obuekwe O, Omoigberale A, Kelly C, DOMHaIN Study Team, Coker MO, Richards VP. | Microbiol Spectr | 10.1128/spectrum.00871-23 | 2023 | ||
| Enzymology | Microbial diversity similarities in periodontal pockets and atheromatous plaques of cardiovascular disease patients. | Serra e Silva Filho W, Casarin RC, Nicolela EL, Passos HM, Sallum AW, Goncalves RB. | PLoS One | 10.1371/journal.pone.0109761 | 2014 | |
| Transcriptome | Gene expression of bacterial collagenolytic proteases in root caries. | Dame-Teixeira N, Parolo CCF, Maltz M, Rup AG, Devine DA, Do T. | J Oral Microbiol | 10.1080/20002297.2018.1424475 | 2018 | |
| Genetics | A Comparative Analysis of Biosynthetic Gene Clusters in Lean and Obese Humans. | Wang S, Li N, Li N, Zou H, Wu M. | Biomed Res Int | 10.1155/2019/6361320 | 2019 | |
| Enzymology | pH gradient and distribution of streptococci, lactobacilli, prevotellae, and fusobacteria in carious dentine. | Kianoush N, Nguyen KA, Browne GV, Simonian M, Hunter N. | Clin Oral Investig | 10.1007/s00784-013-1009-0 | 2014 | |
| Oropharyngeal microbiome alterations in sarcopenia: a nested case-control study in older adults. | Li R, Jiang W, Tang H, Luo S, Chen X, Chen Q, Yang M. | J Gerontol A Biol Sci Med Sci | 10.1093/gerona/glaf201 | 2025 | ||
| Bacterial translocation signatures and subgingival microbiome in individuals with periodontitis. | Britos M, Hernandez M, Fernandez A, Pellegrini E, Chaparro L, Chaparro A, Suarez LJ, Hoare A, Hernandez-Rios P. | Clin Oral Investig | 10.1007/s00784-025-06363-9 | 2025 | ||
| Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study. | Pais RJ, Botelho J, Machado V, Alcoforado G, Mendes JJ, Alves R, Bessa LJ. | Diagnostics (Basel) | 10.3390/diagnostics15040425 | 2025 | ||
| Phylogeny | Altered oral health and microbiota in drug-free patients with schizophrenia. | Huang H, Yang N, Chen MM, Chen X, Chen W, Li X, Chen Y, Deng Z, Zhou W, Xu SX, Xie XH. | BMC Psychiatry | 10.1186/s12888-025-06633-6 | 2025 | |
| Oral and gut microbial profiling in periodontitis and Parkinson's disease. | Yay E, Yilmaz M, Toygar H, Balci N, Alvarez Rivas C, Bolluk Kilic B, Zirh A, Paster BJ, Kantarci A. | J Oral Microbiol | 10.1080/20002297.2024.2331264 | 2024 | ||
| [Correlation analysis of age and microbial characteristics in saliva and feces of high-risk population of upper gastrointestinal cancer]. | Li MJ, Shao DT, Zhou JC, Gu JH, Fan ZY, Qin JJ, Li XQ, Hao CQ, Wei WW. | Zhonghua Yu Fang Yi Xue Za Zhi | 10.3760/cma.j.cn112150-20220715-00720 | 2022 | ||
| Taxonomic Diversity and Clinical Correlations in Periapical Lesions by Next-Generation Sequencing Analysis. | Bronzato JD, Gomes BPFA, Chen T. | Genes (Basel) | 10.3390/genes16070775 | 2025 | ||
| Unveiling the Relationship Between Oral Microbiota and Alzheimer's Disease: A Genetic Instrumental Variable Analysis via Mendelian Randomization. | Li Z, Kang Y, Li S, Guo S, Zheng H. | Brain Behav | 10.1002/brb3.70753 | 2025 | ||
| Pathogenicity | A novel conjugative transposon carrying an autonomously amplified plasmid. | Vineis JH, Reznikoff WS, Antonopoulos DA, Koval J, Chang E, Fallon BR, Paul BG, Morrison HG, Sogin ML. | mBio | 10.1128/mbio.02787-23 | 2024 | |
| Influence of cigarette smoking on oral microbiota in patients with recurrent aphthous stomatitis. | Wang X, Luo N, Mi Q, Kong W, Zhang W, Li X, Gao Q. | J Investig Med | 10.1136/jim-2021-002119 | 2022 | ||
| Detailed Characterization of the Lung-Gut Microbiome Axis Reveals the Link between PD-L1 and the Microbiome in Non-Small-Cell Lung Cancer Patients. | Ankudavicius V, Nikitina D, Lukosevicius R, Tilinde D, Salteniene V, Poskiene L, Miliauskas S, Skieceviciene J, Zemaitis M, Kupcinskas J. | Int J Mol Sci | 10.3390/ijms25042323 | 2024 | ||
| Repurposing of the Macrolide Antibiotic Clarithromycin for the Prevention of Lung Cancer. | Deng S, Hussain T, Bartelli TF, Sebastian MM, Zarghooni M, Velasco WV, Somerville B, Phan L, Savage MI, Song Y, Clifford JL, Kadara H, McAllister F, Brown PH, Moghaddam SJ, Aldaz CM. | Mol Cancer Ther | 10.1158/1535-7163.mct-25-0392 | 2025 | ||
| Microbiota in adult perianal abscess revealed by metagenomic next-generation sequencing. | Hong J-C, Chen J-S, Jiang Z-J, Chen Z-C, Ruan N, Yao X-P. | Microbiol Spectr | 10.1128/spectrum.03474-23 | 2024 | ||
| Analysis of microbiotas between traumatic and ulcerative wound: insights into challenges of current wounds managements. | Chen C, Wang J, Li Y, Fan Z, Dai Y. | Front Cell Infect Microbiol | 10.3389/fcimb.2025.1622552 | 2025 | ||
| Impact of toothpaste use on the subgingival microbiome: a pilot randomized clinical trial. | Iniesta M, Vasconcelos V, Laciar F, Matesanz P, Sanz M, Herrera D. | BMC Oral Health | 10.1186/s12903-025-06159-z | 2025 | ||
| Phylogeny | Next-Generation Sequencing to Assess Potentially Active Bacteria in Endodontic Infections. | Nardello LCL, Amado PPP, Franco DC, Cazares RXR, Nogales CG, Mayer MPA, Karygianni L, Thurnheer T, Pinheiro ET. | J Endod | 10.1016/j.joen.2020.05.004 | 2020 | |
| Enzymology | Maintenance of the aseptic working field during endodontic treatment. | Rorslett Hardersen L, Enersen M, Kristoffersen AK, Orstavik D, Sunde PT. | Acta Odontol Scand | 10.1080/00016357.2019.1606935 | 2019 | |
| The impact of Limosilactobacillus reuteri in combination with non-surgical periodontal therapy on periodontal clinical parameters and salivary and subgingival microbiota composition in individuals with stage III-IV periodontitis: a randomized controlled trial. | Huo P, Deng L, Lu J, Kan P, Jing R, Luo LJ. | BMC Oral Health | 10.1186/s12903-025-06084-1 | 2025 | ||
| Genetics | Linking periodontitis with 20 cancers, emphasis on oropharyngeal cancer: a Mendelian randomization analysis. | Xiong J, Liu H, Li C, Li Y, Feng J. | Sci Rep | 10.1038/s41598-024-63447-4 | 2024 | |
| 919 Syrup Alleviates Postpartum Depression by Modulating the Structure and Metabolism of Gut Microbes and Affecting the Function of the Hippocampal GABA/Glutamate System. | Tian XY, Xing JW, Zheng QQ, Gao PF. | Front Cell Infect Microbiol | 10.3389/fcimb.2021.694443 | 2021 | ||
| Enzymology | Evaluation of the Associations Between Cervical Microbiota and HPV Infection, Clearance, and Persistence in Cytologically Normal Women. | Ritu W, Enqi W, Zheng S, Wang J, Ling Y, Wang Y. | Cancer Prev Res (Phila) | 10.1158/1940-6207.capr-18-0233 | 2019 | |
| Old age and other factors associated with salivary microbiome variation. | Schwartz JL, Pena N, Kawar N, Zhang A, Callahan N, Robles SJ, Griebel A, Adami GR. | BMC Oral Health | 10.1186/s12903-021-01828-1 | 2021 | ||
| Differences Between Vietnamese Living in Germany and German Periodontitis Patients in Periodontal Conditions and Subgingival Microbiota. | Reichert S, Switala H, Schulz S. | Int Dent J | 10.1016/j.identj.2024.09.021 | 2025 | ||
| Altered microbiota of the lower respiratory tract and its association with COVID-19 severity analysed by metagenomics and metatranscriptomics. | Wang D, Duan Y, He L, Jiang J, Xian J, Yuan K, Zhang R, Zhang H, Wang J, Li N, Huang M, Hu C, Lu S, Luo Z, Deng T, Zhang Z, Chen B, Li W. | Commun Biol | 10.1038/s42003-025-08234-1 | 2025 | ||
| Pathogenicity | Investigating Blood Biomarkers That Can Facilitate the Diagnosis of Meningitis-A Systematic Literature Review. | Baran JM, Porebska A, Lesisz M, Polak K, Grodzka O, Domitrz I. | Int J Mol Sci | 10.3390/ijms26041427 | 2025 | |
| Pathogenicity | Variations in the oral microbiome are associated with depression in young adults. | Wingfield B, Lapsley C, McDowell A, Miliotis G, McLafferty M, O'Neill SM, Coleman S, McGinnity TM, Bjourson AJ, Murray EK. | Sci Rep | 10.1038/s41598-021-94498-6 | 2021 | |
| Genetics | One-step diagnosis of infection and lung cancer using metagenomic sequencing. | Li S, Zhan Y, Wang Y, Li W, Wang X, Wang H, Sun W, Cao X, Li Z, Ye F. | Respir Res | 10.1186/s12931-025-03127-7 | 2025 | |
| Differences in the landscape of colonized microorganisms in different oral potentially malignant disorders and squamous cell carcinoma: a multi-group comparative study. | Zhou X, Cai X, Tang Q, Zhang J, Bai J, Jing F, Gao L, Zhang H, Li T. | BMC Microbiol | 10.1186/s12866-024-03458-3 | 2024 | ||
| Microbial signatures of neonatal bacterial meningitis from multiple body sites. | Hou Y, Zhang M, Jiang Q, Yang Y, Liu J, Yuan K, Sun Z, Liu X. | Front Cell Infect Microbiol | 10.3389/fcimb.2023.1169101 | 2023 | ||
| Detection of aerobe-anaerobe mixed infection by metagenomic next-generation sequencing in an adult suffering from descending necrotizing mediastinitis. | Duan J, Zhang C, Che X, Fu J, Pang F, Zhao Q, You Z. | BMC Infect Dis | 10.1186/s12879-021-06624-4 | 2021 | ||
| Phylogeny | The salivary microbiome as a diagnostic biomarker of periodontitis: a 16S multi-batch study before and after the removal of batch effects. | Regueira-Iglesias A, Suarez-Rodriguez B, Blanco-Pintos T, Relvas M, Alonso-Sampedro M, Balsa-Castro C, Tomas I. | Front Cell Infect Microbiol | 10.3389/fcimb.2024.1405699 | 2024 | |
| Multi-omics analysis of immune-related microbiome and prognostic model in head and neck squamous cell carcinoma. | Liu Y, Lin H, Zhong W, Zeng Y, Zhou G, Chen Z, Huang S, Zhang L, Liu X. | Clin Oral Investig | 10.1007/s00784-024-05645-y | 2024 | ||
| Aging Aggravates Periodontal Inflammatory Responses and Alveolar Bone Resorption by Porphyromonas gingivalis Infection. | Song Y, Chung J. | Curr Issues Mol Biol | 10.3390/cimb45080416 | 2023 | ||
| High-performing cross-dataset machine learning reveals robust microbiota alteration in secondary apical periodontitis. | Li H, Li J, Hu J, Chen J, Zhou W. | Front Cell Infect Microbiol | 10.3389/fcimb.2024.1393108 | 2024 | ||
| Phylogeny | From Mouth to Brain: Distinct Supragingival Plaque Microbiota Composition in Cerebral Palsy Children With Caries. | Liu M, Shi Y, Wu K, Xie W, Ser HL, Jiang Q, Wu L. | Front Cell Infect Microbiol | 10.3389/fcimb.2022.814473 | 2022 | |
| Phylogeny | Obesity as Inducer of Cognitive Function Decline via Dysbiosis of Gut Microbiota in Rats. | Mabrok HB, Ramadan AA, Hamed IM, Mohamed DA. | Brain Sci | 10.3390/brainsci14080807 | 2024 | |
| Hyposalivation but not Sjögren's syndrome associated with microbial dysbiosis in women. | Sauco C, Rus MJ, Nieto MR, Barros C, Cantiga-Silva C, Lendines-Cordero D, Calderer-Ortiz M, Zurita-Garcia M, Arias-Herrera S, Monsalve-Guil L, Segura-Egea JJ, Simon-Soro A. | Front Microbiol | 10.3389/fmicb.2023.1240891 | 2023 | ||
| Oral microbiome associated with differential ratios of Porphyromonas gingivalis and Streptococcus cristatus. | Wang Q, Wang B-Y, Pratap S, Xie H. | Microbiol Spectr | 10.1128/spectrum.03482-23 | 2024 | ||
| Nitrate and a nitrate-reducing Rothia aeria strain as potential prebiotic or synbiotic treatments for periodontitis. | Mazurel D, Carda-Dieguez M, Langenburg T, Ziemyte M, Johnston W, Martinez CP, Albalat F, Llena C, Al-Hebshi N, Culshaw S, Mira A, Rosier BT. | NPJ Biofilms Microbiomes | 10.1038/s41522-023-00406-3 | 2023 | ||
| 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 | ||
| Saliva microbiome, dietary, and genetic markers are associated with suicidal ideation in university students. | Ahrens AP, Sanchez-Padilla DE, Drew JC, Oli MW, Roesch LFW, Triplett EW. | Sci Rep | 10.1038/s41598-022-18020-2 | 2022 | ||
| Features of the oral microbiome in Japanese elderly people with 20 or more teeth and a non-severe periodontal condition during periodontal maintenance treatment: A cross-sectional study. | Toyama N, Ekuni D, Yokoi A, Fukuhara D, Islam MM, Sawada N, Nakashima Y, Nakahara M, Sumita I, Morita M. | Front Cell Infect Microbiol | 10.3389/fcimb.2022.957890 | 2022 | ||
| Hospital antimicrobial stewardship: profiling the oral microbiome after exposure to COVID-19 and antibiotics. | Buendia P, Fernandez K, Raley C, Rahnavard A, Crandall KA, Castro JG. | Front Microbiol | 10.3389/fmicb.2024.1346762 | 2024 | ||
| Phylogeny | Oral Microbiome Traits of Type 1 Diabetes and Phenylketonuria Patients in Latvia. | Abola I, Gudra D, Ustinova M, Fridmanis D, Emulina DE, Skadins I, Brinkmane A, Lauga-Tunina U, Gailite L, Auzenbaha M. | Microorganisms | 10.3390/microorganisms11061471 | 2023 | |
| Microbiomes and Resistomes in Biopsy Tissue and Intestinal Lavage Fluid of Colorectal Cancer. | Yuan Y, Chen Y, Yao F, Zeng M, Xie Q, Shafiq M, Noman SM, Jiao X. | Front Cell Dev Biol | 10.3389/fcell.2021.736994 | 2021 | ||
| Phylogeny | Oral Microbiota Identifies Patients in Early Onset Rheumatoid Arthritis. | Esberg A, Johansson L, Johansson I, Dahlqvist SR. | Microorganisms | 10.3390/microorganisms9081657 | 2021 | |
| Genetics | Metagenomic Signatures of Gut Infections Caused by Different Escherichia coli Pathotypes. | Pena-Gonzalez A, Soto-Giron MJ, Smith S, Sistrunk J, Montero L, Paez M, Ortega E, Hatt JK, Cevallos W, Trueba G, Levy K, Konstantinidis KT. | Appl Environ Microbiol | 10.1128/aem.01820-19 | 2019 | |
| The role of the oral microbiome in smoking-related cardiovascular risk: a review of the literature exploring mechanisms and pathways. | Maki KA, Ganesan SM, Meeks B, Farmer N, Kazmi N, Barb JJ, Joseph PV, Wallen GR. | J Transl Med | 10.1186/s12967-022-03785-x | 2022 | ||
| Microbial characteristics across different tongue coating types in a healthy population. | Chen H, Li Q, Li M, Liu S, Yao C, Wang Z, Zhao Z, Liu P, Yang F, Li X, Wang J, Zeng Y, Tong X. | J Oral Microbiol | 10.1080/20002297.2021.1946316 | 2021 | ||
| Clinical study showing a lower abundance of Neisseria in the oral microbiome aligns with low birth weight pregnancy outcomes. | Ye C, You M, Huang P, Xia Z, Radaic A, Tang J, Wu W, Wu Y, Kapila Y. | Clin Oral Investig | 10.1007/s00784-021-04214-x | 2022 | ||
| Fecal microbiota from MRL/lpr mice exacerbates pristane-induced lupus. | Yi X, Huang C, Huang C, Zhao M, Lu Q. | Arthritis Res Ther | 10.1186/s13075-023-03022-w | 2023 | ||
| New Insights into the Microbial Profiles of Infected Root Canals in Traumatized Teeth. | Manoharan L, Brundin M, Rakhimova O, Chavez de Paz L, Romani Vestman N. | J Clin Med | 10.3390/jcm9123877 | 2020 | ||
| Metabolism | Gut microbial profiles and the role in lipid metabolism in Shaziling pigs. | Ma J, Duan Y, Li R, Liang X, Li T, Huang X, Yin Y, Yin J. | Anim Nutr | 10.1016/j.aninu.2021.10.012 | 2022 | |
| Genetics | Metagenomic Analysis of Saliva Reveals Disease-Associated Microbiotas in Patients With Periodontitis and Crohn's Disease-Associated Periodontitis. | Sun B, Liu B, Gao X, Xing K, Xie L, Guo T. | Front Cell Infect Microbiol | 10.3389/fcimb.2021.719411 | 2021 | |
| The upper respiratory tract microbiota of healthy adults is affected by Streptococcus pneumoniae carriage, smoking habits, and contact with children. | Paulo AC, Lanca J, Almeida ST, Hilty M, Sa-Leao R. | Microbiome | 10.1186/s40168-023-01640-9 | 2023 | ||
| The multispecies microbial cluster of Fusobacterium, Parvimonas, Bacteroides and Faecalibacterium as a precision biomarker for colorectal cancer diagnosis. | Conde-Perez K, Aja-Macaya P, Buetas E, Trigo-Tasende N, Nasser-Ali M, Rumbo-Feal S, Nion P, Arribas EM, Estevez LS, Otero-Alen B, Noguera JF, Concha A, Pardinas-Lopez S, Carda-Dieguez M, Gomez-Randulfe I, Martinez-Lago N, Ladra S, Aparicio LMA, Bou G, Mira A, Vallejo JA, Poza M. | Mol Oncol | 10.1002/1878-0261.13604 | 2024 | ||
| Phylogeny | Microcosm biofilms cultured from different oral niches in periodontitis patients. | Cieplik F, Zaura E, Brandt BW, Buijs MJ, Buchalla W, Crielaard W, Laine ML, Deng DM, Exterkate RAM. | J Oral Microbiol | 10.1080/20022727.2018.1551596 | 2019 | |
| Associations of the skin, oral and gut microbiome with aging, frailty and infection risk reservoirs in older adults. | Larson PJ, Zhou W, Santiago A, Driscoll S, Fleming E, Voigt AY, Chun OK, Grady JJ, Kuchel GA, Robison JT, Oh J. | Nat Aging | 10.1038/s43587-022-00287-9 | 2022 | ||
| Haemophilus pittmaniae and Leptotrichia spp. Constitute a Multi-Marker Signature in a Cohort of Human Papillomavirus-Positive Head and Neck Cancer Patients. | Mougeot JC, Beckman MF, Langdon HC, Lalla RV, Brennan MT, Bahrani Mougeot FK. | Front Microbiol | 10.3389/fmicb.2021.794546 | 2021 | ||
| Phylogeny | Ethnic variation of oral microbiota in children. | Premaraj TS, Vella R, Chung J, Lin Q, Hunter P, Underwood K, Premaraj S, Zhou Y. | Sci Rep | 10.1038/s41598-020-71422-y | 2020 | |
| The bacterial microbiome and metabolome in caries progression and arrest. | da Costa Rosa T, de Almeida Neves A, Azcarate-Peril MA, Divaris K, Wu D, Cho H, Moss K, Paster BJ, Chen T, B Freitas-Fernandes L, Fidalgo TKS, Tadeu Lopes R, Valente AP, R Arnold R, de Aguiar Ribeiro A. | J Oral Microbiol | 10.1080/20002297.2021.1886748 | 2021 | ||
| Genetics | Investigation of Spaceflight Induced Changes to Astronaut Microbiomes. | Morrison MD, Thissen JB, Karouia F, Mehta S, Urbaniak C, Venkateswaran K, Smith DJ, Jaing C. | Front Microbiol | 10.3389/fmicb.2021.659179 | 2021 | |
| Phylogeny | Comparison of bacterial culture and 16S rRNA community profiling by clonal analysis and pyrosequencing for the characterization of the dentine caries-associated microbiome. | Schulze-Schweifing K, Banerjee A, Wade WG. | Front Cell Infect Microbiol | 10.3389/fcimb.2014.00164 | 2014 | |
| Enhanced metagenomic deep learning for disease prediction and consistent signature recognition by restructured microbiome 2D representations. | Shen WX, Liang SR, Jiang YY, Chen YZ. | Patterns (N Y) | 10.1016/j.patter.2022.100658 | 2023 | ||
| The Oral-Gut Axis: Periodontal Diseases and Gastrointestinal Disorders. | Lam GA, Albarrak H, McColl CJ, Pizarro A, Sanaka H, Gomez-Nguyen A, Cominelli F, Paes Batista da Silva A. | Inflamm Bowel Dis | 10.1093/ibd/izac241 | 2023 | ||
| Electronic Cigarette Aerosol Modulates the Oral Microbiome and Increases Risk of Infection. | Pushalkar S, Paul B, Li Q, Yang J, Vasconcelos R, Makwana S, Gonzalez JM, Shah S, Xie C, Janal MN, Queiroz E, Bederoff M, Leinwand J, Solarewicz J, Xu F, Aboseria E, Guo Y, Aguallo D, Gomez C, Kamer A, Shelley D, Aphinyanaphongs Y, Barber C, Gordon T, Corby P, Li X, Saxena D. | iScience | 10.1016/j.isci.2020.100884 | 2020 | ||
| Metabolism | Xenometabolite signatures in the UC Davis type 2 diabetes mellitus rat model revealed using a metabolomics platform enriched with microbe-derived metabolites. | Mercer KE, Yeruva L, Pack L, Graham JL, Stanhope KL, Chintapalli SV, Wankhade UD, Shankar K, Havel PJ, Adams SH, Piccolo BD. | Am J Physiol Gastrointest Liver Physiol | 10.1152/ajpgi.00105.2020 | 2020 | |
| Pathogenicity | Prevotella species as oral residents and infectious agents with potential impact on systemic conditions. | Kononen E, Fteita D, Gursoy UK, Gursoy M. | J Oral Microbiol | 10.1080/20002297.2022.2079814 | 2022 | |
| Combined metabolic activators therapy ameliorates liver fat in nonalcoholic fatty liver disease patients. | Zeybel M, Altay O, Arif M, Li X, Yang H, Fredolini C, Akyildiz M, Saglam B, Gonenli MG, Ural D, Kim W, Schwenk JM, Zhang C, Shoaie S, Nielsen J, Uhlen M, Boren J, Mardinoglu A. | Mol Syst Biol | 10.15252/msb.202110459 | 2021 | ||
| Biotechnology | Bioremediation of Total Petroleum Hydrocarbons (TPH) by Bioaugmentation and Biostimulation in Water with Floating Oil Spill Containment Booms as Bioreactor Basin. | Sayed K, Baloo L, Sharma NK. | Int J Environ Res Public Health | 10.3390/ijerph18052226 | 2021 | |
| Relationship between dental and periodontal health status and the salivary microbiome: bacterial diversity, co-occurrence networks and predictive models. | Relvas M, Regueira-Iglesias A, Balsa-Castro C, Salazar F, Pacheco JJ, Cabral C, Henriques C, Tomas I. | Sci Rep | 10.1038/s41598-020-79875-x | 2021 | ||
| Genetics | Defining the gut microbiota in individuals with periodontal diseases: an exploratory study. | Lourenso TGB, Spencer SJ, Alm EJ, Colombo APV. | J Oral Microbiol | 10.1080/20002297.2018.1487741 | 2018 | |
| Metabolism | Evaluation of the gut microbiome in association with biological signatures of inflammation in murine polytrauma and shock. | Appiah SA, Foxx CL, Langgartner D, Palmer A, Zambrano CA, Braumuller S, Schaefer EJ, Wachter U, Elam BL, Radermacher P, Stamper CE, Heinze JD, Salazar SN, Luthens AK, Arnold AL, Reber SO, Huber-Lang M, Lowry CA, Halbgebauer R. | Sci Rep | 10.1038/s41598-021-85897-w | 2021 | |
| Microbial signature profiles of periodontally healthy and diseased patients. | Lourenco TG, Heller D, Silva-Boghossian CM, Cotton SL, Paster BJ, Colombo AP. | J Clin Periodontol | 10.1111/jcpe.12302 | 2014 | ||
| Comparison of the salivary and dentinal microbiome of children with severe-early childhood caries to the salivary microbiome of caries-free children. | Hurley E, Barrett MPJ, Kinirons M, Whelton H, Ryan CA, Stanton C, Harris HMB, O'Toole PW. | BMC Oral Health | 10.1186/s12903-018-0693-1 | 2019 | ||
| The Microbiome in Populations with a Low and High Prevalence of Caries. | Johansson I, Witkowska E, Kaveh B, Lif Holgerson P, Tanner AC. | J Dent Res | 10.1177/0022034515609554 | 2016 | ||
| Robust species taxonomy assignment algorithm for 16S rRNA NGS reads: application to oral carcinoma samples. | Al-Hebshi NN, Nasher AT, Idris AM, Chen T. | J Oral Microbiol | 10.3402/jom.v7.28934 | 2015 | ||
| Genetics | Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome. | Jiang B, Liang X, Chen Y, Ma T, Liu L, Li J, Jiang R, Chen T, Zhang X, Li S. | Sci Rep | 10.1038/srep00936 | 2012 | |
| Bacterial profile of dentine caries and the impact of pH on bacterial population diversity. | Kianoush N, Adler CJ, Nguyen KA, Browne GV, Simonian M, Hunter N. | PLoS One | 10.1371/journal.pone.0092940 | 2014 | ||
| Single cell genomics of uncultured, health-associated Tannerella BU063 (Oral Taxon 286) and comparison to the closely related pathogen Tannerella forsythia. | Beall CJ, Campbell AG, Dayeh DM, Griffen AL, Podar M, Leys EJ. | PLoS One | 10.1371/journal.pone.0089398 | 2014 | ||
| Phylogeny | Genome-Based Taxonomic Classification of Bacteroidetes. | Hahnke RL, Meier-Kolthoff JP, Garcia-Lopez M, Mukherjee S, Huntemann M, Ivanova NN, Woyke T, Kyrpides NC, Klenk HP, Goker M. | Front Microbiol | 10.3389/fmicb.2016.02003 | 2016 | |
| Metabolism | Gut bacteria identified in colorectal cancer patients promote tumourigenesis via butyrate secretion. | Okumura S, Konishi Y, Narukawa M, Sugiura Y, Yoshimoto S, Arai Y, Sato S, Yoshida Y, Tsuji S, Uemura K, Wakita M, Matsudaira T, Matsumoto T, Kawamoto S, Takahashi A, Itatani Y, Miki H, Takamatsu M, Obama K, Takeuchi K, Suematsu M, Ohtani N, Fukunaga Y, Ueno M, Sakai Y, Nagayama S, Hara E. | Nat Commun | 10.1038/s41467-021-25965-x | 2021 | |
| Metabolism | Pseudoprevotella muciniphila gen. nov., sp. nov., a mucin-degrading bacterium attached to the bovine rumen epithelium. | Na SW, Chun BH, Beak SH, Khan SA, Haque MN, Lee JS, Jeon CO, Lee SS, Baik M. | PLoS One | 10.1371/journal.pone.0251791 | 2021 | |
| Phylogeny | Description of Alloprevotella rava gen. nov., sp. nov., isolated from the human oral cavity, and reclassification of Prevotella tannerae Moore et al. 1994 as Alloprevotella tannerae gen. nov., comb. nov. | Downes J, Dewhirst FE, Tanner ACR, Wade WG | Int J Syst Evol Microbiol | 10.1099/ijs.0.041376-0 | 2012 | |
| Phylogeny | Descriptions of Prevotella tannerae sp. nov. and Prevotella enoeca sp. nov. from the human gingival crevice and emendation of the description of Prevotella zoogleoformans. | Moore LV, Johnson JL, Moore WE | Int J Syst Bacteriol | 10.1099/00207713-44-4-599 | 1994 |
| #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 ) |
| #36897 | Collection of Institut Pasteur ; Curators of the CIP; CIP 104476 |
| #52037 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 34292 |
| #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) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #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/bacdive137052.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data