Teretinema zuelzerae DSM 1903 is an anaerobe bacterium that was isolated from fresh water mud.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Spirochaetota |
| Class Spirochaetia |
| Order Spirochaetales |
| Family Treponemataceae |
| Genus Teretinema |
| Species Teretinema zuelzerae |
| Full scientific name Teretinema zuelzerae (Canale-Parola 1980 ex Veldkamp 1960) Song et al. 2023 |
| Synonyms (3) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 97.6 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 922 | TERETINEMA MEDIUM (DSMZ Medium 169) | Medium recipe at MediaDive | Name: TERETINEMA MEDIUM (DSMZ Medium 169) Composition: Agar 10.0 g/l Yeast extract 4.0 g/l D-Glucose 2.0 g/l NaHCO3 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l MgSO4 x 7 H2O 0.5 g/l CaCl2 x 2 H2O 0.04 g/l K2HPO4 0.0279378 g/l KH2PO4 0.00538896 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 922 | positive | growth | 30 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Freshwater | |
| #Environmental | #Terrestrial | #Mud (Sludge) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 922 | fresh water mud | California, Pacific Grove | USA | USA | North America |
Global distribution of 16S sequence FR749929 (>99% sequence identity) for Treponema zuelzerae subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM2102155v1 assembly for Teretinema zuelzerae DSM 1903 | contig | 156 | 74.96 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 922 | Spirochaeta zuelzerae partial 16S rRNA gene, type strain DSM 1903T, clone 2 | FR749929 | 1532 | 156 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 922 | 52.7 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 93.50 | no |
| 125439 | motility | BacteriaNetⓘ | no | 67.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 87.02 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 91.65 | yes |
| 125438 | aerobic | aerobicⓘ | no | 95.06 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 73.98 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.38 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 59.39 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Comparative Analysis of Brucepastera parasyntrophica gen. nov., sp. nov. and Teretinema zuelzerae gen. nov., comb. nov. (Treponemataceae) Reveals the Importance of Interspecies Hydrogen Transfer in the Energy Metabolism of Spirochetes. | Song Y, Pfeiffer F, Radek R, Hearne C, Herve V, Brune A. | Appl Environ Microbiol | 10.1128/aem.00503-22 | 2022 |
| #922 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1903 |
| #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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