Pelorhabdus rhamnosifermentans BoRhaA is a bacterium that was isolated from sediment.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Negativicutes |
| Order Selenomonadales |
| Family Sporomusaceae |
| Genus Pelorhabdus |
| Species Pelorhabdus rhamnosifermentans |
| Full scientific name Pelorhabdus rhamnosifermentans Gräßle et al. 2022 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 68748 | ANAEROBIC FRESHWATER (FWM) MEDIUM (DSMZ Medium 503) | Medium recipe at MediaDive | Name: ANAEROBIC FRESHWATER (FWM) MEDIUM (DSMZ Medium 503) Composition: D-Glucose 4.98504 g/l Na2CO3 1.49551 g/l NaCl 0.997008 g/l KCl 0.498505 g/l MgCl2 x 6 H2O 0.398803 g/l Na2S x 9 H2O 0.299103 g/l NH4Cl 0.249252 g/l KH2PO4 0.199402 g/l CaCl2 x 2 H2O 0.149552 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l Sodium resazurin 0.000498505 g/l NaOH 0.000498504 g/l Pyridoxine hydrochloride 0.000299103 g/l Nicotinic acid 0.000199402 g/l Thiamine-HCl x 2 H2O 0.000199402 g/l CoCl2 x 6 H2O 0.000189432 g/l Calcium pantothenate 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l Vitamin B12 9.97009e-05 g/l p-Aminobenzoic acid 7.97607e-05 g/l ZnCl2 6.97906e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l D-(+)-biotin 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 68748 | positive | growth | 30 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 68748 | sediment | Upper Lake Konstanz | Germany | DEU | Europe | 47.6955 | 9.2141 47.6955/9.2141 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM1883558v1 assembly for Pelorhabdus rhamnosifermentans BoRhaA | scaffold | 2772457 | 30.85 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 68748 | Pelorhabdus rhamnosifermentans strain BoRhaA 16S ribosomal RNA gene, partial sequence | MW010209 | 1477 | 2772457 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 68748 | 40.8 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.81 | no |
| 125439 | motility | BacteriaNetⓘ | no | 81.85 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 52.53 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 96.51 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 84.46 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 91.79 | no |
| 125438 | aerobic | aerobicⓘ | no | 91.97 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 65.39 | no |
| 125438 | thermophilic | thermophileⓘ | no | 88.94 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 75.13 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Pelorhabdus rhamnosifermentans gen. nov., sp. nov., a strictly anaerobic rhamnose degrader from freshwater lake sediment. | Grassle F, Plugge C, Franchini P, Schink B, Schleheck D, Muller N | Syst Appl Microbiol | 10.1016/j.syapm.2021.126225 | 2021 |
| #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) . |
| #68748 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 111565 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive169465.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data