Rhodocyclus gracilis 3760 is an anaerobe, mesophilic prokaryote that was isolated from dystrophic pond.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Rhodocyclales |
| Family Rhodocyclaceae |
| Genus Rhodocyclus |
| Species Rhodocyclus gracilis |
| Full scientific name Rhodocyclus gracilis Kyndt et al. 2022 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2082 | RHODOSPIRILLACEAE MEDIUM (modified) (DSMZ Medium 27) | Medium recipe at MediaDive | Name: RHODOSPIRILLACEAE MEDIUM (modified) (DSMZ Medium 27) Composition: Disodium succinate 1.0 g/l KH2PO4 0.5 g/l Ammonium acetate 0.5 g/l NaCl 0.4 g/l NH4Cl 0.4 g/l MgSO4 x 7 H2O 0.4 g/l Yeast extract 0.3 g/l L-Cysteine HCl 0.3 g/l CaCl2 x 2 H2O 0.05 g/l Fe(III) citrate 0.005 g/l Resazurin 0.005 g/l H3BO3 0.0003 g/l CoCl2 x 6 H2O 0.0002 g/l ZnSO4 x 7 H2O 0.0001 g/l MnCl2 x 4 H2O 3e-05 g/l Na2MoO4 x 2 H2O 3e-05 g/l NiCl2 x 6 H2O 2e-05 g/l CuCl2 x 2 H2O 1e-05 g/l Vitamin B12 Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 2082 | positive | growth | 28 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 2082 | dystrophic pond | Black Forest, Nonnenmattweiher | Germany | DEU | Europe | 47.7944 | 7.7993 47.7944/7.7993 |
Global distribution of 16S sequence D16209 (>99% sequence identity) for Rhodocyclus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM961757v1 assembly for Rhodocyclus gracilis DSM 110 | contig | 2929842 | 70.74 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 85.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 80.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.99 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 61.76 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 88.99 | no |
| 125438 | aerobic | aerobicⓘ | no | 67.94 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.84 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 80.55 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Dentiradicibacter hellwigii gen. nov., sp. nov., isolated from a secondary infected root canal in the human oral cavity. | Bartsch S, Wittmer A, Weber AK, Neumann-Schaal M, Wolf J, Gronow S, Turnbull JD, Tennert C, Hacker G, Cieplik F, Al-Ahmad A. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006690 | 2025 | |
| Phylogeny | Comparative Genome Analysis of the Photosynthetic Betaproteobacteria of the Genus Rhodocyclus: Heterogeneity within Strains Assigned to Rhodocyclus tenuis and Description of Rhodocyclus gracilis sp. nov. as a New Species. | Kyndt JA, Aviles FA, Imhoff JF, Kunzel S, Neulinger SC, Meyer TE | Microorganisms | 10.3390/microorganisms10030649 | 2022 |
| #2082 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110 |
| #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 . |
| #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 . |
| #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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BacDive in 2025: the core database for prokaryotic strain data