Campylobacter ureolyticus EDMH-1 is an anaerobe human pathogen that was isolated from amniotic fluid.
anaerobe human pathogen genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Epsilonproteobacteria |
| Order Campylobacterales |
| Family Campylobacteraceae |
| Genus Campylobacter |
| Species Campylobacter ureolyticus |
| Full scientific name Campylobacter ureolyticus (Jackson and Goodman 1978) Vandamme et al. 2010 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8781 | BTU MEDIUM (DSMZ Medium 413) | Medium recipe at MediaDive | Name: BTU MEDIUM (DSMZ Medium 413) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l Na-formiate 1.8 g/l Na-fumarate 1.8 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Resazurin 0.001 g/l Vitamin K1 NaOH Distilled water | ||
| 8781 | 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 | ||
| 8781 | CHOPPED MEAT MEDIUM (DSMZ Medium 78) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 487.805 g/l Casitone 29.2683 g/l Agar 14.6341 g/l K2HPO4 4.87805 g/l Yeast extract 4.87805 g/l L-Cysteine HCl 0.487805 g/l Ethanol 0.185366 g/l Haemin 0.00487805 g/l Resazurin 0.00097561 g/l Vitamin K3 0.000487805 g/l Vitamin K1 NaOH Distilled water Water |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68373 | 30089 ChEBI | acetate | - | assimilation | from API CAM |
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68367 | 17057 ChEBI | cellobiose | - | builds acid from | from API 20A |
| 68373 | 16947 ChEBI | citrate | - | assimilation | from API CAM |
| 68373 | 17634 ChEBI | D-glucose | - | assimilation | from API CAM |
| 68367 | 17634 ChEBI | D-glucose | - | builds acid from | from API 20A |
| 68367 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 20A |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 68367 | 16024 ChEBI | D-mannose | - | builds acid from | from API 20A |
| 68367 | 65327 ChEBI | D-xylose | - | builds acid from | from API 20A |
| 68367 | 4853 ChEBI | esculin | - | hydrolysis | from API 20A |
| 68367 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20A |
| 68367 | 17754 ChEBI | glycerol | - | builds acid from | from API 20A |
| 68367 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 20A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68367 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 20A |
| 68367 | 17716 ChEBI | lactose | - | builds acid from | from API 20A |
| 68373 | 25115 ChEBI | malate | - | assimilation | from API CAM |
| 68367 | 17306 ChEBI | maltose | - | builds acid from | from API 20A |
| 68367 | 6731 ChEBI | melezitose | - | builds acid from | from API 20A |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 68373 | 17272 ChEBI | propionate | - | assimilation | from API CAM |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | from API rID32A |
| 68367 | 16634 ChEBI | raffinose | - | builds acid from | from API 20A |
| 68367 | 17814 ChEBI | salicin | - | builds acid from | from API 20A |
| 68367 | 30911 ChEBI | sorbitol | - | builds acid from | from API 20A |
| 68373 | 30031 ChEBI | succinate | - | assimilation | from API CAM |
| 68367 | 17992 ChEBI | sucrose | - | builds acid from | from API 20A |
| 68367 | 27082 ChEBI | trehalose | - | builds acid from | from API 20A |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68367 | 27897 ChEBI | tryptophan | - | energy source | from API 20A |
| 68373 | 16199 ChEBI | urea | + | hydrolysis | from API CAM |
| 68380 | 16199 ChEBI | urea | + | hydrolysis | from API rID32A |
| 68367 | 16199 ChEBI | urea | + | hydrolysis | from API 20A |
| @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 |
| 68367 | beta-glucosidase | - | 3.2.1.21 | from API 20A |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 8781 | catalase | - | 1.11.1.6 | |
| 68373 | catalase | - | 1.11.1.6 | from API CAM |
| 68367 | catalase | - | 1.11.1.6 | from API 20A |
| 8781 | cytochrome-c oxidase | - | 1.9.3.1 | |
| 68373 | gamma-glutamyltransferase | - | 2.3.2.2 | from API CAM |
| 68367 | gelatinase | - | from API 20A | |
| 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 | 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 |
| 68373 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API CAM |
| 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 |
| 68373 | urease | + | 3.5.1.5 | from API CAM |
| 68367 | urease | + | 3.5.1.5 | from API 20A |
| Metadata FA analysis | |||||||||||||||||||||||||||||||
| type of FA analysis | whole cell analysis | ||||||||||||||||||||||||||||||
| method/protocol | CCUG | ||||||||||||||||||||||||||||||
| @ref | 44971 | ||||||||||||||||||||||||||||||
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| Metadata FA analysis | ||||||||||||||||||||||||||||||||||
| type of FA analysis | whole cell analysis | |||||||||||||||||||||||||||||||||
| method/protocol | CCUG | |||||||||||||||||||||||||||||||||
| @ref | 44971 | |||||||||||||||||||||||||||||||||
|
||||||||||||||||||||||||||||||||||
| Metadata FA analysis | |||||||||||||||||||||||||||||||||||||||||||
| type of FA analysis | whole cell analysis | ||||||||||||||||||||||||||||||||||||||||||
| method/protocol | CCUG | ||||||||||||||||||||||||||||||||||||||||||
| @ref | 44971 | ||||||||||||||||||||||||||||||||||||||||||
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| @ref | URE | Reduction of nitrateNIT | EsteraseEST | HIP | GGT | TTC | PYRA | L-arginine arylamidaseArgA | L-aspartic acid arylamidaseAspA | PAL | H2S productionH2S | GLU | SUT | NAL | CFZ | ACE | PROP | MLT | CIT | Erythromycin resistance (+) sensitivity (-)ERO | CAT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8781 | + | + | + | + | - | + | - | +/- | + | + | + | - | - | - | - | - | - | - | - | - | - | |
| 8781 | + | - | - | - | - | - | - | - | +/- | - | + | - | - | - | - | - | - | - | - | - | - |
| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8781 | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 8781 | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Global distribution of 16S sequence HM007586 (>99% sequence identity) for Campylobacter ureolyticus subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1337222v1 assembly for Campylobacter ureolyticus LMG 6451 | complete | 827 | 98.77 | ||||
| 124043 | ASM1676689v1 assembly for Campylobacter ureolyticus FDAARGOS_1102 | chromosome | 827 | 88.32 | ||||
| 66792 | 53694_D01 assembly for Campylobacter ureolyticus NCTC10941 | contig | 827 | 76.05 | ||||
| 66792 | ASM37460v1 assembly for Campylobacter ureolyticus DSM 20703 | scaffold | 1121102 | 69.24 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 8781 | 28 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 94.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.11 | no |
| 125439 | motility | BacteriaNetⓘ | no | 65.36 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.83 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.98 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 61.98 | yes |
| 125438 | aerobic | aerobicⓘ | no | 90.77 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 95.05 | no |
| 125438 | thermophilic | thermophileⓘ | no | 87.90 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 72.06 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Influence of species composition and cultivation condition on peri-implant biofilm dysbiosis in vitro. | Heine N, Bittroff K, Szafranski SP, Duitscher M, Behrens W, Vollmer C, Mikolai C, Kommerein N, Debener N, Frings K, Heisterkamp A, Scheper T, Torres-Mapa ML, Bahnemann J, Stiesch M, Doll-Nikutta K. | Front Oral Health | 10.3389/froh.2025.1649419 | 2025 | ||
| Effect of Dentifrice Ingredients on Volume and Vitality of a Simulated Periodontal Multispecies Biofilm. | Karacic J, Ruf M, Herzog J, Astasov-Frauenhoffer M, Sahrmann P. | Dent J (Basel) | 10.3390/dj12050141 | 2024 | ||
| Genomic investigation into strain heterogeneity and pathogenic potential of the emerging gastrointestinal pathogen Campylobacter ureolyticus. | Bullman S, Lucid A, Corcoran D, Sleator RD, Lucey B. | PLoS One | 10.1371/journal.pone.0071515 | 2013 | ||
| Colorimetric detection of oral bacteria using functionalized gold nanoparticles as a plasmonic biosensor array. | Wenck C, Leopoldt D, Habib M, Hegermann J, Stiesch M, Doll-Nikutta K, Heisterkamp A, Torres-Mapa ML. | Nanoscale Adv | 10.1039/d3na00477e | 2024 | ||
| Bioinformatics of cyanophycin metabolism genes and characterization of promiscuous isoaspartyl dipeptidases that catalyze the final step of cyanophycin degradation. | Sharon I, Schmeing TM. | Sci Rep | 10.1038/s41598-023-34587-w | 2023 | ||
| Molecular-based detection of the gastrointestinal pathogen Campylobacter ureolyticus in unpasteurized milk samples from two cattle farms in Ireland. | Koziel M, Lucey B, Bullman S, Corcoran GD, Sleator RD. | Gut Pathog | 10.1186/1757-4749-4-14 | 2012 | ||
| Silver Nanoparticles Produced by Laser Ablation and Re-Irradiation Are Effective Preventing Peri-Implantitis Multispecies Biofilm Formation. | Perez-Tanoira R, Fernandez-Arias M, Potel C, Carballo-Fernandez R, Perez-Castro S, Boutinguiza M, Gorgolas M, Lusquinos F, Pou J. | Int J Mol Sci | 10.3390/ijms231912027 | 2022 | ||
| Adhesion Forces of Oral Bacteria to Titanium and the Correlation with Biophysical Cellular Characteristics. | Doll-Nikutta K, Winkel A, Yang I, Grote AJ, Meier N, Habib M, Menzel H, Behrens P, Stiesch M. | Bioengineering (Basel) | 10.3390/bioengineering9100567 | 2022 | ||
| Zonula occludens toxins and their prophages in Campylobacter species. | Liu F, Lee H, Lan R, Zhang L. | Gut Pathog | 10.1186/s13099-016-0125-1 | 2016 | ||
| Campylobacter ureolyticus: a portrait of the pathogen. | O'Donovan D, Corcoran GD, Lucey B, Sleator RD. | Virulence | 10.4161/viru.28776 | 2014 | ||
| Tau-Marin Mucoadhesive Gel for Prevention and Treatment of Gum Diseases. | Giannini G, Ragusa I, Nardone GN, Soldi S, Elli M, Valenti P, Rosa L. | Gels | 10.3390/gels9080607 | 2023 | ||
| Probiotics-Containing Mucoadhesive Gel for Targeting the Dysbiosis Associated with Periodontal Diseases. | Giannini G, Ragusa I, Nardone GN, Soldi S, Elli M, Valenti P, Rosa L, Marra E, Stoppoloni D, Merlo Pich E. | Int J Dent | 10.1155/2022/5007930 | 2022 | ||
| Genetics | Pathogenomics of Emerging Campylobacter Species. | Costa D, Iraola G. | Clin Microbiol Rev | 10.1128/cmr.00072-18 | 2019 | |
| Metabolism | Sulfonolipids as novel metabolite markers of Alistipes and Odoribacter affected by high-fat diets. | Walker A, Pfitzner B, Harir M, Schaubeck M, Calasan J, Heinzmann SS, Turaev D, Rattei T, Endesfelder D, Castell WZ, Haller D, Schmid M, Hartmann A, Schmitt-Kopplin P. | Sci Rep | 10.1038/s41598-017-10369-z | 2017 | |
| Metabolism | An oral multispecies biofilm model for high content screening applications. | Kommerein N, Stumpp SN, Musken M, Ehlert N, Winkel A, Haussler S, Behrens P, Buettner FF, Stiesch M. | PLoS One | 10.1371/journal.pone.0173973 | 2017 | |
| Incidence of Bacteriocins Produced by Food-Related Lactic Acid Bacteria Active towards Oral Pathogens. | Zoumpopoulou G, Pepelassi E, Papaioannou W, Georgalaki M, Maragkoudakis PA, Tarantilis PA, Polissiou M, Tsakalidou E, Papadimitriou K. | Int J Mol Sci | 10.3390/ijms14034640 | 2013 | ||
| Enzymology | Phylogenetic analysis of faecal microbiota from captive cheetahs reveals underrepresentation of Bacteroidetes and Bifidobacteriaceae. | Becker AA, Hesta M, Hollants J, Janssens GP, Huys G. | BMC Microbiol | 10.1186/1471-2180-14-43 | 2014 | |
| Influence of environmental and genetic factors linked to celiac disease risk on infant gut colonization by Bacteroides species. | Sanchez E, De Palma G, Capilla A, Nova E, Pozo T, Castillejo G, Varea V, Marcos A, Garrote JA, Polanco I, Lopez A, Ribes-Koninckx C, Garcia-Novo MD, Calvo C, Ortigosa L, Palau F, Sanz Y. | Appl Environ Microbiol | 10.1128/aem.00365-11 | 2011 | ||
| Enzymology | Detection of Lactobacillus, Pediococcus, Leuconostoc, and Weissella species in human feces by using group-specific PCR primers and denaturing gradient gel electrophoresis. | Walter J, Hertel C, Tannock GW, Lis CM, Munro K, Hammes WP. | Appl Environ Microbiol | 10.1128/aem.67.6.2578-2585.2001 | 2001 | |
| Enzymology | Rapid urease test (RUT) for evaluation of urease activity in oral bacteria in vitro and in supragingival dental plaque ex vivo. | Dahlen G, Hassan H, Blomqvist S, Carlen A. | BMC Oral Health | 10.1186/s12903-018-0541-3 | 2018 | |
| Genetics | Species Delineation and Comparative Genomics within the Campylobacter ureolyticus Complex. | Maki JJ, Howard M, Connelly S, Pettengill MA, Hardy DJ, Cameron A. | J Clin Microbiol | 10.1128/jcm.00046-23 | 2023 | |
| Genetics | Identification of Therapeutic Targets in an Emerging Gastrointestinal Pathogen Campylobacter ureolyticus and Possible Intervention through Natural Products. | Khan K, Basharat Z, Jalal K, Mashraqi MM, Alzamami A, Alshamrani S, Uddin R. | Antibiotics (Basel) | 10.3390/antibiotics11050680 | 2022 | |
| Genetics | Identification and specificity validation of unique and antimicrobial resistance genes to trace suspected pathogenic AMR bacteria and to monitor the development of AMR in non-AMR strains in the environment and clinical settings. | Rekadwad BN, Pramod N, Rao MPN, Hashem A, Avila-Quezada GD, Abd Allah EF. | Saudi J Biol Sci | 10.1016/j.sjbs.2023.103869 | 2023 | |
| Phylogeny | Using 16s rRNA sequencing to characterize the microbiome of tropical cutaneous ulcer disease: insights into the microbial landscape and implications for diagnosis and treatment. | Handley BL, Sokana O, Addo KK, Wagner J, Fookes M, Harding-Esch E, Marks M, Thomson NR, Doyle RM. | Microb Genom | 10.1099/mgen.0.001234 | 2024 | |
| Cardiac Tamponade Caused by Campylobacter ureolyticus Purulent Effusion. | Obregon M, Khan A. | Cureus | 10.7759/cureus.56051 | 2024 | ||
| Divergence in the sow vaginal microbiota is associated with fertility. | Fletcher L, Zhan X, Song Y, Li J. | Reproduction | 10.1530/rep-25-0044 | 2025 | ||
| Pathogenicity | Unraveling the Skin Microbiome in Hidradenitis Suppurativa: Implications for Treatment and Disease Progression. | Cucu CI, Giurcaneanu C, Mihai MM, Andronic T, Ancuta I, Popa MI, Macovei IS, Popa LG. | J Clin Med | 10.3390/jcm14072424 | 2025 | |
| Genetics | Insights into the tripartite relationship between cervical cancer, human papillomavirus, and the vaginal microbiome: a mega-analysis. | Rashwan HH, Ali MH, Mostafa MM, Ramadan R, Mysara M. | Hum Genomics | 10.1186/s40246-025-00795-w | 2025 | |
| Campylobacter fetus subsp. fetus: an unforeseen cause of abortion in regional Australia. | Owusu-Ansa I, Ramadas M, Jacob N, Ayeni FE. | Access Microbiol | 10.1099/acmi.0.000889.v5 | 2025 | ||
| Investigating Skin Microbial Community in Malignant Melanoma Lesions. | Properzi M, Dimartino V, Pietrucci D, Fontana C, Rotondo C, Lembo L, Ricci F, Scatozza F, Di Lella G, Messina F, Chillemi G, Bartolini B, Facchiano A. | Microorganisms | 10.3390/microorganisms13050992 | 2025 | ||
| VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria. | Fernandez-Edreira D, Linares-Blanco J, V-Del-Rio P, Fernandez-Lozano C. | Comput Struct Biotechnol J | 10.1016/j.csbj.2023.11.050 | 2024 | ||
| Follicular Skin Disorders, Inflammatory Bowel Disease, and the Microbiome: A Systematic Review. | Fleshner L, Roster K, Farabi B, Hirani R, Tepper K, Pitchumoni CS, Safai B, Marmon S. | Int J Mol Sci | 10.3390/ijms251810203 | 2024 | ||
| Pathogenicity | Dysbiosis of Gut Microbiome Is Associated With Rupture of Cerebral Aneurysms. | Kawabata S, Takagaki M, Nakamura H, Oki H, Motooka D, Nakamura S, Nishida T, Terada E, Izutsu N, Takenaka T, Matsui Y, Yamada S, Asai K, Tateishi A, Umehara T, Yano Y, Bamba Y, Matsumoto K, Kishikawa T, Okada Y, Iida T, Kishima H. | Stroke | 10.1161/strokeaha.121.034792 | 2022 | |
| Concentrations of ciprofloxacin in food defined as safe alter the gut microbiome and ciprofloxacin susceptibility in humans: an interventional clinical study. | Manoharan-Basil S, Gestels Z, Abdellati S, Vanbaelen T, Van Den Bossche D, van Alebeek L, Van Herrewege Y, Poppe L, Vandenhove L, Bracke S, Smekens B, Jacobs B, Genbrugge E, Kenyon C. | Sci Rep | 10.1038/s41598-025-18714-3 | 2025 | ||
| In-depth Microbiological Characterization of Urine From Subjects With Type 2 Diabetes. | Calvigioni M, Biancalana E, Mazzantini D, Celandroni F, Rossi C, Mengozzi A, Ghelardi E, Solini A. | J Clin Endocrinol Metab | 10.1210/clinem/dgae389 | 2024 | ||
| Causal relationship between skin microbiota and Hidradenitis suppurativa: a two-sample Mendelian randomization study. | Guo S, Li P, Lu J, Zhou P, Sun B, Wang J. | Arch Dermatol Res | 10.1007/s00403-024-03787-3 | 2025 | ||
| Phylogeny | Streptococcus dysgalactiae subsp.-equisimilis as an emerging secondary pathogen in leprosy foot ulcers. | Ebineshan K, Pallapati MS, Srikantam A. | Iran J Microbiol | 10.18502/ijm.v16i5.16795 | 2024 | |
| Genetics | Identification of Novel Gene-Specific Markers for Differentiating Various Pathogenic Campylobacter Species Using a Pangenome Analysis Approach. | Kuufire E, Bentum KE, Nyarku R, Osei V, Elrefaey A, James T, Woube Y, Folitse R, Samuel T, Abebe W. | Pathogens | 10.3390/pathogens14050477 | 2025 | |
| Describing the Reproductive Microbiome of Tritrichomonas foetus Chronically Infected Bulls and Diagnostic Collection Device Performance. | Boggan S, Awosile B, Koziol J. | Animals (Basel) | 10.3390/ani14182689 | 2024 | ||
| Identification of urinary bacterial genes as biomarkers for non-invasive diagnosis of renal lupus. | Perez-Carrasco V, Soriano-Lerma A, Guzzi C, Garcia-Martin ML, Tello MJ, Linde-Rodriguez A, Sanchez-Martin V, Ortiz-Gonzalez M, PRECISESADS Clinical Consortium, Gutierrez-Fernandez J, Alarcon-Riquelme ME, Soriano M, Maranon C, Garcia-Salcedo JA. | Biomark Res | 10.1186/s40364-025-00828-5 | 2025 | ||
| Pathogenicity | Dysbiosis of salivary microbiome and cytokines influence oral squamous cell carcinoma through inflammation. | Rai AK, Panda M, Das AK, Rahman T, Das R, Das K, Sarma A, Kataki AC, Chattopadhyay I. | Arch Microbiol | 10.1007/s00203-020-02011-w | 2021 | |
| The Role of Gut and Oral Microbiota in the Formation and Rupture of Intracranial Aneurysms: A Literature Review. | Joerger AK, Albrecht C, Rothhammer V, Neuhaus K, Wagner A, Meyer B, Wostrack M. | Int J Mol Sci | 10.3390/ijms25010048 | 2023 | ||
| Multi-year comparison of VITEK MS performance for identification of rarely encountered pathogenic Gram-negative organisms (GNOs) in a large integrated Canadian healthcare region. | Church DL, Griener T, Gregson D. | Microbiol Spectr | 10.1128/spectrum.02276-24 | 2024 | ||
| Distinct Gut Microbiota Profiles in Unruptured and Ruptured Intracranial Aneurysms: Focus on Butyrate-Producing Bacteria. | Csecsei P, Takacs B, Pasitka L, Varnai R, Peterfi Z, Orban B, Czabajszki M, Olah C, Schwarcz A. | J Clin Med | 10.3390/jcm14103488 | 2025 | ||
| Pathogenicity | The clinic application of mNGS and ENA-78 assays to identify intra-amniotic infection/inflammation. | Shen D, Ju H, Wang H, Wang X, Li G. | Front Cell Infect Microbiol | 10.3389/fcimb.2025.1510671 | 2025 | |
| The Surface Microbiome of Clinically Unaffected Skinfolds in Hidradenitis Suppurativa: A Cross-Sectional Culture-Based and 16S rRNA Gene Amplicon Sequencing Study in 60 Patients. | Riverain-Gillet E, Guet-Revillet H, Jais JP, Ungeheuer MN, Duchatelet S, Delage M, Lam T, Hovnanian A, Nassif A, Join-Lambert O. | J Invest Dermatol | 10.1016/j.jid.2020.02.046 | 2020 | ||
| Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort. | Zhai Q, Zhao L, Wang M, Li L, Li LA, Ye M, Li M, Xu C, Meng Y. | Front Cell Infect Microbiol | 10.3389/fcimb.2025.1556153 | 2025 | ||
| Optimizing microbiome reference databases with PacBio full-length 16S rRNA sequencing for enhanced taxonomic classification and biomarker discovery. | Han H, Choi YH, Kim SY, Park JH, Chung J, Na HS. | Front Microbiol | 10.3389/fmicb.2024.1485073 | 2024 | ||
| Enzymology | Rapid Reduction of Campylobacter Species in the Gut Microbiome of Preschool Children after Oral Azithromycin: A Randomized Controlled Trial. | Hinterwirth A, Sie A, Coulibaly B, Ouermi L, Dah C, Tapsoba C, Zhong L, Chen C, Lietman TM, Keenan JD, Doan T, Oldenburg CE. | Am J Trop Med Hyg | 10.4269/ajtmh.19-0940 | 2020 | |
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| Association of Weather Variables With Pathogens Contributing to Conjunctivitis Worldwide. | Yan D, Prajna NV, Lalitha P, Sansanayudh W, Satitpitakul V, Laovirojjanakul W, Chaudhary M, Bountogo M, Sie A, Coulibaly B, Amza A, Nassirou B, Almou I, Tran H, Tran Y, Tsui E, Onclinx T, Sella R, Goren L, McClean E, Tham V, Chen C, Ouimette K, Zhong L, Liu Y, Yu D, Abraham T, Lebas E, Arnold BF, McLeod SD, Deiner MS, Porco TC, Seitzman GD, Lietman TM, Shantha J, Hinterwirth A, Doan T. | Clin Infect Dis | 10.1093/cid/ciae417 | 2025 | ||
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| Higher abundance of Campylobacter in the oral microbiome of Japanese patients with moyamoya disease. | Takayanagi K, Kanamori F, Ishii K, Yokoyama K, Araki Y, Sumitomo M, Maeda S, Goto S, Ota S, Nagata Y, Nishihori M, Maesawa S, Izumi T, Takasu S, Saito R. | Sci Rep | 10.1038/s41598-023-45755-3 | 2023 | ||
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| Phylogeny | Adverse pregnancy outcomes in women with type 1 diabetes are associated with multiple alterations in the vaginal microbiome. | Roth-Schulze AJ, Bandala-Sanchez E, Ngui KM, Naselli G, Oakey H, Ashwood P, Martin G, Brown JD, Zozaya-Valdes E, Thomson RL, Colman PG, Wentworth JM, Vuillermin PJ, Hunyh T, Soldatos G, Couper JJ, Penno MAS, Harrison LC, ENDIA Study Group. | Diabetologia | 10.1007/s00125-025-06509-0 | 2025 | |
| The urinary microbiome distinguishes symptomatic urinary tract infection from asymptomatic older adult patients presenting to the emergency department | Bradley E, Stansky C, Zeamer A, Huang Z, Cincotta L, Lopes A, Potter L, Fontes T, Ward D, Bucci V, McCormick B, Haran J. | Virulence | 2025 | |||
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| Bridging gut microbiota composition with extended-spectrum beta-lactamase Enterobacteriales faecal carriage in critically ill patients (microbe cohort study). | Prevel R, Enaud R, Orieux A, Camino A, Sioniac P, M'Zali F, Dubois V, Berger P, Boyer A, Delhaes L, Gruson D. | Ann Intensive Care | 10.1186/s13613-023-01121-0 | 2023 | ||
| Genetics | Exploring the Link Between Infections and Primary Osteoarthritis: A Next-Generation Metagenomic Sequencing Approach. | Niecwietajewa I, Banasiewicz J, Zaremba-Wroblewski G, Majewska A. | Int J Mol Sci | 10.3390/ijms26010020 | 2024 | |
| Proteome | The Human Ocular Surface Microbiome and Its Associations with the Tear Proteome in Dry Eye Disease. | Schlegel I, De Gouyon Matignon de Pontourade CMF, Lincke JB, Keller I, Zinkernagel MS, Zysset-Burri DC. | Int J Mol Sci | 10.3390/ijms241814091 | 2023 | |
| Isolation, characterization, and antimicrobial resistance profiles of Campylobacter jejuni and Campylobacter coli from raw meat of large livestock in Shahrekord, Iran. | Rahimi E, Mousavinafchi SB, Shakerian A. | Arch Razi Inst | 10.32592/ari.2024.79.1.41 | 2024 | ||
| Prevalence, Diversity, and Virulence of Campylobacter Carried by Migratory Birds at Four Major Habitats in China. | Wu S, Jia R, Wang Y, Li J, Li Y, Wang L, Wang Y, Liu C, Jia EM, Wang Y, Zhang G, Liu J. | Pathogens | 10.3390/pathogens13030230 | 2024 | ||
| Pathogenicity | Identification of Lung and Blood Microbiota Implicated in COVID-19 Prognosis. | Dereschuk K, Apostol L, Ranjan I, Chakladar J, Li WT, Rajasekaran M, Chang EY, Ongkeko WM. | Cells | 10.3390/cells10061452 | 2021 | |
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| Gut microbiome in intracranial aneurysm growth, subarachnoid hemorrhage, and cerebral vasospasm: a systematic review with a narrative synthesis. | Klepinowski T, Skonieczna-Zydecka K, Pala B, Stachowska E, Sagan L. | Front Neurosci | 10.3389/fnins.2023.1247151 | 2023 | ||
| Genetic Causal Association Between the Gut Microbiome and Intracranial Aneurysm and Subarachnoid Hemorrhage: A Two-Sample Mendelian Randomization Study. | He M, Wang W, He Q, Dai H, Han J, Cui W. | Neurol Ther | 10.1007/s40120-023-00525-1 | 2023 | ||
| Geospatial Analysis of Multilevel Socioenvironmental Factors Impacting the Campylobacter Burden among Infants in Rural Eastern Ethiopia: A One Health Perspective. | Li X, Chen D, Liang S, Hassen JY, McKune SL, Havelaar AH, Blackburn JK. | Am J Trop Med Hyg | 10.4269/ajtmh.24-0401 | 2025 | ||
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| Phylogeny | Differential Urinary Microbiome and Its Metabolic Footprint in Bladder Cancer Patients Following BCG Treatment. | Min K, Zheng CM, Kim S, Kim H, Lee M, Piao XM, Byun YJ, Kim Y, Joo Y, Cho B, Moon S, Kim WT, Kang HW, Park H, Yun SJ. | Int J Mol Sci | 10.3390/ijms252011157 | 2024 | |
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| Draft Genome Sequence of Campylobacter ureolyticus Strain CIT007, the First Whole-Genome Sequence of a Clinical Isolate. | Lucid A, Bullman S, Koziel M, Corcoran GD, Cotter PD, Sleator RD, Lucey B. | Genome Announc | 10.1128/genomea.00262-14 | 2014 | ||
| Characterization and Analysis of the Skin Microbiota in Rosacea: A Case-Control Study. | Rainer BM, Thompson KG, Antonescu C, Florea L, Mongodin EF, Bui J, Fischer AH, Pasieka HB, Garza LA, Kang S, Chien AL. | Am J Clin Dermatol | 10.1007/s40257-019-00471-5 | 2020 | ||
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| Acquisition, Divergence, and Personalization of the Female Perineal Microbiomes Are Driven by Developmental Milestones and Disrupted by Urinary Tract Infection: A Pilot Study. | Lucas EJ, Ching CB, Saraswat S, Dabdoub SM, Kumar PP, Justice SS. | Front Pediatr | 10.3389/fped.2020.542413 | 2020 | ||
| Opisthorchis viverrini, Clonorchis sinensis and Opisthorchis felineus liver flukes affect mammalian host microbiome in a species-specific manner. | Pakharukova MY, Lishai EA, Zaparina O, Baginskaya NV, Hong SJ, Sripa B, Mordvinov VA. | PLoS Negl Trop Dis | 10.1371/journal.pntd.0011111 | 2023 | ||
| Genetics | The microaerophilic microbiota of de-novo paediatric inflammatory bowel disease: the BISCUIT study. | Hansen R, Berry SH, Mukhopadhya I, Thomson JM, Saunders KA, Nicholl CE, Bisset WM, Loganathan S, Mahdi G, Kastner-Cole D, Barclay AR, Bishop J, Flynn DM, McGrogan P, Russell RK, El-Omar EM, Hold GL. | PLoS One | 10.1371/journal.pone.0058825 | 2013 | |
| Phylogeny | Indonesian children fecal microbiome from birth until weaning was different from microbiomes of their mothers. | Khine WWT, Rahayu ES, See TY, Kuah S, Salminen S, Nakayama J, Lee YK. | Gut Microbes | 10.1080/19490976.2020.1761240 | 2020 | |
| MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations. | Perz AI, Giles CB, Brown CA, Porter H, Roopnarinesingh X, Wren JD. | BMC Bioinformatics | 10.1186/s12859-019-2623-x | 2019 | ||
| Enzymology | Identification of Known and Novel Recurrent Viral Sequences in Data from Multiple Patients and Multiple Cancers. | Friis-Nielsen J, Kjartansdottir KR, Mollerup S, Asplund M, Mourier T, Jensen RH, Hansen TA, Rey-Iglesia A, Richter SR, Nielsen IB, Alquezar-Planas DE, Olsen PV, Vinner L, Fridholm H, Nielsen LP, Willerslev E, Sicheritz-Ponten T, Lund O, Hansen AJ, Izarzugaza JM, Brunak S. | Viruses | 10.3390/v8020053 | 2016 | |
| Composition of fecal microbiota in low-set rectal cancer patients treated with FOLFOX. | Li J, Li J, Lyu N, Ma Y, Liu F, Feng Y, Yao L, Hou Z, Song X, Zhao H, Li X, Wang Y, Xiao C, Zhu B. | Ther Adv Chronic Dis | 10.1177/2040622320904293 | 2020 | ||
| The neovaginal microbiome of transgender women post-gender reassignment surgery. | Birse KD, Kratzer K, Zuend CF, Mutch S, Noel-Romas L, Lamont A, Abou M, Jalil E, Veloso V, Grinsztejn B, Friedman RK, Broliden K, Bradley F, Poliquin V, Li F, Yanavich C, Burgener A, Aldrovandi G. | Microbiome | 10.1186/s40168-020-00804-1 | 2020 | ||
| Phylogeny | Microbiota of deciduous endodontic infections analysed by MDA and Checkerboard DNA-DNA hybridization. | Tavares WL, Neves de Brito LC, Teles RP, Massara ML, Ribeiro Sobrinho AP, Haffajee AD, Socransky SS, Teles FR. | Int Endod J | 10.1111/j.1365-2591.2010.01805.x | 2011 | |
| Diversity of macaque microbiota compared to the human counterparts. | Chen Z, Yeoh YK, Hui M, Wong PY, Chan MCW, Ip M, Yu J, Burk RD, Chan FKL, Chan PKS. | Sci Rep | 10.1038/s41598-018-33950-6 | 2018 | ||
| Genetics | Antimicrobial Resistance Gene Prevalence in a Population of Patients with Advanced Dementia Is Related to Specific Pathobionts. | Rowan-Nash AD, Araos R, D'Agata EMC, Belenky P. | iScience | 10.1016/j.isci.2020.100905 | 2020 | |
| Inquiring into the Gaps of Campylobacter Surveillance Methods. | Magana M, Chatzipanagiotou S, Burriel AR, Ioannidis A. | Vet Sci | 10.3390/vetsci4030036 | 2017 | ||
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| Enzymology | Prevalence of Campylobacter species in adult Crohn's disease and the preferential colonization sites of Campylobacter species in the human intestine. | Mahendran V, Riordan SM, Grimm MC, Tran TA, Major J, Kaakoush NO, Mitchell H, Zhang L. | PLoS One | 10.1371/journal.pone.0025417 | 2011 | |
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| Phylogeny | Comparison of strains of gram-negative, anaerobic, agar-corroding rods isolated from soft tissue infections in cats and dogs with type strains of Bacteroides gracilis, Wolinella recta, Wolinella succinogenes, and Campylobacter concisus. | Love DN, Jones RF, Bailey M, Calverley A | J Clin Microbiol | 10.1128/jcm.20.4.747-750.1984 | 1984 | |
| Phylogeny | Campylobacter sputorum subsp. bovis subsp. nov., isolated from cattle, and an emended description of Campylobacter sputorum. | Miller WG, Williams TG, Wood DF, Chapman MH. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006571 | 2024 | |
| Phylogeny | Campylobacter blaseri sp. nov., isolated from common seals (Phoca vitulina). | Gilbert MJ, Zomer AL, Timmerman AJ, Spaninks MP, Rubio-Garcia A, Rossen JW, Duim B, Wagenaar JA. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002742 | 2018 | |
| Phylogeny | Campylobacter corcagiensis sp. nov., isolated from faeces of captive lion-tailed macaques (Macaca silenus). | Koziel M, O'Doherty P, Vandamme P, Corcoran GD, Sleator RD, Lucey B. | Int J Syst Evol Microbiol | 10.1099/ijs.0.063867-0 | 2014 |
| #8781 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20703 |
| #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 ) |
| #44971 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 7319 |
| #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) . |
| #68367 | Automatically annotated from API 20A . |
| #68373 | Automatically annotated from API CAM . |
| #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 . |
| #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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