Campylobacter peloridis CCUG 55787 is a microaerophile, mesophilic, Gram-negative bacterium that was isolated from Shellfish.
Gram-negative microaerophile mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Epsilonproteobacteria |
| Order Campylobacterales |
| Family Campylobacteraceae |
| Genus Campylobacter |
| Species Campylobacter peloridis |
| Full scientific name Campylobacter peloridis Debruyne et al. 2009 |
| BacDive ID | Other strains from Campylobacter peloridis (2) | Type strain |
|---|---|---|
| 154938 | C. peloridis CCUG 55790, LMG 23916 | |
| 154939 | C. peloridis CCUG 55791, LMG 11251 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 60729 | positive | growth | 37 | mesophilic |
| @ref | Sample type | Sampling date | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 60729 | Shellfish | 1993 | Netherlands | NLD | Europe |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 124043 | Campylobacter peloridis partial 16S ribosomal RNA gene, type strain LMG 23910T | AM922331 | 1497 | 488546 |
| @ref | Description | Accession | Assembly level | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 66792 | Campylobacter peloridis LMG 23910 | GCA_000816785 | complete | 1388753 | ||
| 66792 | Campylobacter peloridis LMG 23910 | 1388753.5 | complete | 1388753 | ||
| 66792 | Campylobacter peloridis LMG 23910 | 1388753.7 | plasmid | 1388753 | ||
| 66792 | Campylobacter peloridis LMG 23910 | 1388753.6 | plasmid | 1388753 | ||
| 66792 | Campylobacter peloridis LMG 23910 | 2627854132 | complete | 1388753 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 66.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 91.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.48 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 80.71 | yes |
| 125438 | aerobic | aerobicⓘ | no | 86.56 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 96.95 | no |
| 125438 | thermophilic | thermophileⓘ | no | 87.64 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 63.72 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Novel Campylobacter lari-like bacteria from humans and molluscs: description of Campylobacter peloridis sp. nov., Campylobacter lari subsp. concheus subsp. nov. and Campylobacter lari subsp. lari subsp. nov. | Debruyne L, On SL, De Brandt E, Vandamme P | Int J Syst Evol Microbiol | 10.1099/ijs.0.000851-0 | 2009 |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 108461 | 26705 | LMG 23910, CCUG 55787 |
| Culture collection no. | |
|---|---|
| CCUG 55787 | |
| LMG 23910 |
| #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 ) |
| #60729 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55787 |
| #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) . |
| #108461 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID26705.1 ) |
| #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 . |
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