Hymenobacter norwichensis NS/50 is a prokaryote that was isolated from from the air in the Sainsbury Centre for Visual Arts.
genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Cytophagia |
| Order Cytophagales |
| Family Hymenobacteraceae |
| Genus Hymenobacter |
| Species Hymenobacter norwichensis |
| Full scientific name Hymenobacter norwichensis Buczolits et al. 2006 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5823 | MODIFIED PYES MEDIUM (DSMZ Medium 937a) | Medium recipe at MediaDive | Name: MODIFIED PYES MEDIUM (DSMZ Medium 937a) Composition: Agar 15.0 g/l Casein peptone 3.0 g/l Yeast extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 5823 | positive | growth | 20-28 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 5823 | from the air in the Sainsbury Centre for Visual Arts | Norwich | United Kingdom | GBR | Europe |
Global distribution of 16S sequence AJ549285 (>99% sequence identity) for Hymenobacter norwichensis from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM42070v1 assembly for Hymenobacter norwichensis DSM 15439 | scaffold | 1121957 | 75.76 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5823 | Hymenobacter norwichensis 16S rRNA gene, type strain NS/50T | AJ549285 | 1442 | 223903 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5823 | 56.4 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 86.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 72.20 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.95 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.51 | no |
| 125438 | aerobic | aerobicⓘ | yes | 91.02 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 84.79 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.23 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.25 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Hymenobacter telluris sp. nov., isolated from soil in South Korea. | Damdintogtokh T, Park Y, Maeng S, Oh HJ, Bang M, Lee YK, Oh J, Bai J, Kim MK | Arch Microbiol | 10.1007/s00203-021-02692-x | 2022 | |
| Phylogeny | Hymenobacter tibetensis sp. nov., a UV-resistant bacterium isolated from Qinghai-Tibet plateau. | Dai J, Wang Y, Zhang L, Tang Y, Luo X, An H, Fang C | Syst Appl Microbiol | 10.1016/j.syapm.2009.09.001 | 2009 | |
| Phylogeny | Proposal of Hymenobacter norwichensis sp. nov., classification of 'Taxeobacter ocellatus', 'Taxeobacter gelupurpurascens' and 'Taxeobacter chitinovorans' as Hymenobacter ocellatus sp. nov., Hymenobacter gelipurpurascens sp. nov. and Hymenobacter chitinivorans sp. nov., respectively, and emended description of the genus Hymenobacter Hirsch et al. 1999. | Buczolits S, Denner EBM, Kampfer P, Busse HJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.64371-0 | 2006 |
| #5823 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15439 |
| #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 ) |
| #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) . |
| #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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https://doi.org/10.13145/bacdive3808.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data