Eikenella longinqua JCM 34134 is a mesophilic prokaryote that was isolated from Blood culture of a patient in Edmonton.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Neisseriales |
| Family Neisseriaceae |
| Genus Eikenella |
| Species Eikenella longinqua |
| Full scientific name Eikenella longinqua Bernard et al. 2020 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 37 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 67770 | Blood culture of a patient in Edmonton | Alberta | Canada | CAN | North America |
Global distribution of 16S sequence KU663110 (>99% sequence identity) for Neisseria from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM164835v1 assembly for Eikenella longinqua NML02-A-017 | contig | 1795827 | 70.12 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Eikenella longinqua strain NML02-A-017 16S ribosomal RNA gene, partial sequence | KU663110 | 1480 | 1795827 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 58.8 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 50.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 97.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 98.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.48 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.35 | no |
| 125438 | aerobic | aerobicⓘ | yes | 50.55 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.96 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.33 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 83.25 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Gastrointestinal symptoms of long COVID-19 related to the ectopic colonization of specific bacteria that move between the upper and lower alimentary tract and alterations in serum metabolites. | Zhang D, Weng S, Xia C, Ren Y, Liu Z, Xu Y, Yang X, Wu R, Peng L, Sun L, Zhu J, Liang X, Jia Y, Wang H, Chen Q, Liu D, Chen Y, Guo H, Han X, Jin Z, Chen C, Yang X, Li Z, Huang H. | BMC Med | 10.1186/s12916-023-02972-x | 2023 | |
| Update on Accepted Novel Bacterial Isolates Derived from Human Clinical Specimens and Taxonomic Revisions Published in 2020 and 2021. | Munson E, Carroll KC. | J Clin Microbiol | 10.1128/jcm.00282-22 | 2023 | |
| Notification List of Bacterial Strains Made Available by the United Kingdom National Collection of Type Cultures in 2021. | Turnbull JD, Dicks J, Gurung S, McGregor H, NCTC 2021 Depositors Cohort, Alexander S. | Microbiol Resour Announc | 10.1128/mra.00357-22 | 2022 | |
| Eikenella glucosivorans sp. nov., isolated from a human throat swab, and emendation of the genus Eikenella to include saccharolytic species. | Hering S, Jansson MK, Buhl MEJ | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004977 | 2021 | |
| Description of Eikenella halliae sp. nov. and Eikenella longinqua sp. nov., derived from human clinical materials, emendation of Eikenella exigua Stormo et al. 2019 and emendation of the genus Eikenella to include species which are strict anaerobes. | Bernard KA, Burdz T, Wiebe D, Bernier AM | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004150 | 2020 |
| #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 ) |
| #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 ) |
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